diff --git a/notebooks/getting_started.ipynb b/notebooks/getting_started.ipynb
index 7d8ddb7..3c27c2a 100644
--- a/notebooks/getting_started.ipynb
+++ b/notebooks/getting_started.ipynb
@@ -60,12 +60,12 @@
      "data": {
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
-       "<div id='104ca58f-bf0c-4b43-bd1a-109953937ae1'>\n",
-       "  <div id=\"e646f3be-56a9-491f-a901-dccab8d874b6\" data-root-id=\"104ca58f-bf0c-4b43-bd1a-109953937ae1\" style=\"display: contents;\"></div>\n",
+       "<div id='fa8cf225-98ec-4d2d-b473-51b25f35cbe8'>\n",
+       "  <div id=\"abc53891-3f37-4a9f-9644-5c66510587b6\" data-root-id=\"fa8cf225-98ec-4d2d-b473-51b25f35cbe8\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"afe92f0b-2298-4f0f-84f1-637b8ec3137d\":{\"version\":\"3.9.0\",\"title\":\"Bokeh Application\",\"config\":{\"type\":\"object\",\"name\":\"DocumentConfig\",\"id\":\"36b43fb3-31e3-401b-a95d-4b4de7eb06d0\",\"attributes\":{\"notifications\":{\"type\":\"object\",\"name\":\"Notifications\",\"id\":\"43df7bd1-b50b-4889-9eac-cd11026c302e\"}}},\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"104ca58f-bf0c-4b43-bd1a-109953937ae1\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"5807168a-d2b5-4ae8-aa49-e37f21f7e7a0\",\"attributes\":{\"plot_id\":\"104ca58f-bf0c-4b43-bd1a-109953937ae1\",\"comm_id\":\"b794e29d19004fb9a24df572686f5d90\",\"client_comm_id\":\"21f261fea4314e25b6ed235b417440af\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"start\",\"kind\":\"Any\",\"default\":0},{\"name\":\"end\",\"kind\":\"Any\",\"default\":100},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"ReactiveESM1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"JSComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"ReactComponent1\",\"properties\":[{\"name\":\"use_shadow_dom\",\"kind\":\"Any\",\"default\":true},{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"AnyWidgetComponent1\",\"properties\":[{\"name\":\"use_shadow_dom\",\"kind\":\"Any\",\"default\":true},{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"max_notifications\",\"kind\":\"Any\",\"default\":5},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_rendered\",\"kind\":\"Any\",\"default\":false},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"request_value1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"_synced\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_request_sync\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"holoviews.plotting.bokeh.raster.HoverModel\",\"properties\":[{\"name\":\"xy\",\"kind\":\"Any\",\"default\":null},{\"name\":\"data\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
-       "  var render_items = [{\"docid\":\"afe92f0b-2298-4f0f-84f1-637b8ec3137d\",\"roots\":{\"104ca58f-bf0c-4b43-bd1a-109953937ae1\":\"e646f3be-56a9-491f-a901-dccab8d874b6\"},\"root_ids\":[\"104ca58f-bf0c-4b43-bd1a-109953937ae1\"]}];\n",
+       "  var docs_json = {\"b844eb38-5e07-4f10-aa82-b8d10c37f79a\":{\"version\":\"3.9.0\",\"title\":\"Bokeh Application\",\"config\":{\"type\":\"object\",\"name\":\"DocumentConfig\",\"id\":\"686690e0-2952-4777-9095-a4aafd7149d4\",\"attributes\":{\"notifications\":{\"type\":\"object\",\"name\":\"Notifications\",\"id\":\"7da73013-64c9-45ff-8ae9-43c314685542\"}}},\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"fa8cf225-98ec-4d2d-b473-51b25f35cbe8\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"c9ce4045-a440-4049-9bc7-6d0add892f02\",\"attributes\":{\"plot_id\":\"fa8cf225-98ec-4d2d-b473-51b25f35cbe8\",\"comm_id\":\"28143bb4062d408cbceb9072062d32ee\",\"client_comm_id\":\"5d19bb65abbd466e9116cca8e6c58c3f\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"start\",\"kind\":\"Any\",\"default\":0},{\"name\":\"end\",\"kind\":\"Any\",\"default\":100},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"ReactiveESM1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"JSComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"ReactComponent1\",\"properties\":[{\"name\":\"use_shadow_dom\",\"kind\":\"Any\",\"default\":true},{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"AnyWidgetComponent1\",\"properties\":[{\"name\":\"use_shadow_dom\",\"kind\":\"Any\",\"default\":true},{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"max_notifications\",\"kind\":\"Any\",\"default\":5},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_rendered\",\"kind\":\"Any\",\"default\":false},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"request_value1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"_synced\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_request_sync\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"holoviews.plotting.bokeh.raster.HoverModel\",\"properties\":[{\"name\":\"xy\",\"kind\":\"Any\",\"default\":null},{\"name\":\"data\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"b844eb38-5e07-4f10-aa82-b8d10c37f79a\",\"roots\":{\"fa8cf225-98ec-4d2d-b473-51b25f35cbe8\":\"abc53891-3f37-4a9f-9644-5c66510587b6\"},\"root_ids\":[\"fa8cf225-98ec-4d2d-b473-51b25f35cbe8\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
@@ -134,7 +134,7 @@
      },
      "metadata": {
       "application/vnd.holoviews_exec.v0+json": {
-       "id": "104ca58f-bf0c-4b43-bd1a-109953937ae1"
+       "id": "fa8cf225-98ec-4d2d-b473-51b25f35cbe8"
       }
      },
      "output_type": "display_data"
@@ -203,11 +203,96 @@
     "type(ed)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['WBT 400140-15 ES120-7C_ES', 'WBT 400141-15 ES18_ES',\n",
+       "       'WBT 400142-15 ES70-7C_ES', 'WBT 400143-15 ES38B_ES',\n",
+       "       'WBT 400145-15 ES200-7C_ES'], dtype=object)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ed[\"Sonar/Beam_group1\"][\"channel\"].values"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Parse only selected channels\n",
+    "\n",
+    "> **Note**\n",
+    "> The `channels` argument is available in the development version of **echopype** and will be included in a future release. It is not available in the current stable release.\n",
+    "\n",
+    "By default, `open_raw` parses and stores data from all available channels. If we already know the `channel_id` values we want and do not need to parse all channels, we can select only those channels using the `channels` argument.\n",
+    "\n",
+    "Here, we parse only the 38 and 120 kHz channels:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['WBT 400140-15 ES120-7C_ES', 'WBT 400143-15 ES38B_ES'],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "selected_channels = [\n",
+    "    \"WBT 400143-15 ES38B_ES\",\n",
+    "    \"WBT 400140-15 ES120-7C_ES\",\n",
+    "]\n",
+    "\n",
+    "ed_selected_channels = ep.open_raw(\n",
+    "    raw_path,\n",
+    "    sonar_model=\"EK80\",\n",
+    "    channels=selected_channels,\n",
+    "    storage_options={\"anon\": True},\n",
+    ")\n",
+    "\n",
+    "ed_selected_channels[\"Sonar/Beam_group1\"][\"channel\"].values"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Let's take a look at what's in `ed`, and `EchoData` object.\n",
+    "We can now delete the temporary object before continuing. In the rest of this notebook, we will work with the complete `ed` object containing all five channels."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "del ed_selected_channels"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We continue the rest of the notebook using the complete `ed` object created above. Let's take a look at what's in the `EchoData` object `ed`.\n",
     "\n",
     "An `EchoData` object is a representation of an echopype-adapted version of the SONAR-netCDF4 version 1 convention. It shows the tree-like group structure in the netCDF data model. We aim for the conversion from raw data to the `EchoData` object as lossless as possible.\n",
     "\n",
@@ -216,7 +301,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -227,8 +312,8 @@
        "        <div class=\"xr-obj-type\">EchoData: standardized raw data from Internal Memory</div>\n",
        "    </div>\n",
        "    <ul class=\"xr-sections group-sections\">\n",
-       "        <li class=\"xr-section-list\"><input id=\"idata_62918315538df6254a28b8e5ed6d5f20\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-       "            <label for=\"idata_62918315538df6254a28b8e5ed6d5f20\" class=\"xr-section-summary\">Top-level: contains metadata about the SONAR-netCDF4 file format.</label>\n",
+       "        <li class=\"xr-section-list\"><input id=\"idata_49e56d5f9e0eab168149bc0494382045\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "            <label for=\"idata_49e56d5f9e0eab168149bc0494382045\" class=\"xr-section-summary\">Top-level: contains metadata about the SONAR-netCDF4 file format.</label>\n",
        "            <div class=\"xr-section-inline-details\"></div>\n",
        "            <div class=\"xr-section-details\">\n",
        "                <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
@@ -788,12 +873,12 @@
        "    title:                       \n",
        "    date_created:                2023-08-11T16:57:27Z\n",
        "    processing_level:            Level 1A\n",
-       "    processing_level_url:        https://echopype.readthedocs.io/en/stable/pr...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a9eb1401-402e-4958-90d5-b739eaa6d681' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-a9eb1401-402e-4958-90d5-b739eaa6d681' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'></div></li><li class='xr-section-item'><input id='section-168d6576-e33a-468a-8851-281d42614734' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-168d6576-e33a-468a-8851-281d42614734' class='xr-section-summary'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d57f1886-2173-4216-b02e-a950c2f4cae0' class='xr-section-summary-in' type='checkbox' /><label for='section-d57f1886-2173-4216-b02e-a950c2f4cae0' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>conventions :</span></dt><dd>CF-1.7, SONAR-netCDF4-1.0, ACDD-1.3</dd><dt><span>keywords :</span></dt><dd>EK80</dd><dt><span>sonar_convention_authority :</span></dt><dd>ICES</dd><dt><span>sonar_convention_name :</span></dt><dd>SONAR-netCDF4</dd><dt><span>sonar_convention_version :</span></dt><dd>1.0</dd><dt><span>summary :</span></dt><dd></dd><dt><span>title :</span></dt><dd></dd><dt><span>date_created :</span></dt><dd>2023-08-11T16:57:27Z</dd><dt><span>processing_level :</span></dt><dd>Level 1A</dd><dt><span>processing_level_url :</span></dt><dd>https://echopype.readthedocs.io/en/stable/processing-levels.html</dd></dl></div></li></ul></div></div><br></div>\n",
+       "    processing_level_url:        https://echopype.readthedocs.io/en/stable/pr...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-086c07f2-82a2-4d06-887f-ba9e40c45532' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-086c07f2-82a2-4d06-887f-ba9e40c45532' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'></div></li><li class='xr-section-item'><input id='section-d207b38c-3bc1-441a-bb28-6866033b9cc8' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-d207b38c-3bc1-441a-bb28-6866033b9cc8' class='xr-section-summary'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-cd13d7c9-dbc2-4b5b-83ed-08630885229c' class='xr-section-summary-in' type='checkbox' /><label for='section-cd13d7c9-dbc2-4b5b-83ed-08630885229c' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>conventions :</span></dt><dd>CF-1.7, SONAR-netCDF4-1.0, ACDD-1.3</dd><dt><span>keywords :</span></dt><dd>EK80</dd><dt><span>sonar_convention_authority :</span></dt><dd>ICES</dd><dt><span>sonar_convention_name :</span></dt><dd>SONAR-netCDF4</dd><dt><span>sonar_convention_version :</span></dt><dd>1.0</dd><dt><span>summary :</span></dt><dd></dd><dt><span>title :</span></dt><dd></dd><dt><span>date_created :</span></dt><dd>2023-08-11T16:57:27Z</dd><dt><span>processing_level :</span></dt><dd>Level 1A</dd><dt><span>processing_level_url :</span></dt><dd>https://echopype.readthedocs.io/en/stable/processing-levels.html</dd></dl></div></li></ul></div></div><br></div>\n",
        "                </ul>\n",
        "            </div>\n",
        "        </li>\n",
-       "        <ul><li class=\"xr-section-list\"><input id=\"idata_cc00c097d3edd06ed6a2e5042a4520de\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-       "                    <label for=\"idata_cc00c097d3edd06ed6a2e5042a4520de\" class=\"xr-section-summary\">Environment: contains information relevant to acoustic propagation through water.</label>\n",
+       "        <ul><li class=\"xr-section-list\"><input id=\"idata_f21c2bb1e7c73afd6a771aa24c166d7f\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                    <label for=\"idata_f21c2bb1e7c73afd6a771aa24c166d7f\" class=\"xr-section-summary\">Environment: contains information relevant to acoustic propagation through water.</label>\n",
        "                    <div class=\"xr-section-inline-details\"></div>\n",
        "                    <div class=\"xr-section-details\">\n",
        "                        <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
@@ -1353,11 +1438,11 @@
        "    sound_velocity_profile        (time1, sound_velocity_profile_depth) float64 16B ...\n",
        "    sound_velocity_source         (time1) &lt;U10 40B &#x27;Calculated&#x27;\n",
        "    transducer_name               (time1) &lt;U7 28B &#x27;Unknown&#x27;\n",
-       "    transducer_sound_speed        (time1) float64 8B 1.48e+03</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-eccf503b-c87b-4d45-9bdd-f5043f1cb1c6' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-eccf503b-c87b-4d45-9bdd-f5043f1cb1c6' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time1</span>: 1</li><li><span class='xr-has-index'>sound_velocity_profile_depth</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-4076d39f-ef95-43d4-ab3c-58d172e4a7c1' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4076d39f-ef95-43d4-ab3c-58d172e4a7c1' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time1</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163</div><input id='attrs-c00ce15e-7bfe-4727-9f18-639a07c71fdd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c00ce15e-7bfe-4727-9f18-639a07c71fdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64ee41e9-d4d0-417e-98ca-2a239af5b148' class='xr-var-data-in' type='checkbox'><label for='data-64ee41e9-d4d0-417e-98ca-2a239af5b148' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA position datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to environmental variables. Note that Platform.time3 is the same as Environment.time1.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sound_velocity_profile_depth</span></div><div class='xr-var-dims'>(sound_velocity_profile_depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1e+03</div><input id='attrs-6fd4039a-dbda-436a-942d-9c30154292a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fd4039a-dbda-436a-942d-9c30154292a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e4fb31b-53c5-4efb-b630-e7a9e7b310f0' class='xr-var-data-in' type='checkbox'><label for='data-1e4fb31b-53c5-4efb-b630-e7a9e7b310f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([   1., 1000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52110d76-9d01-4b75-a7ff-ed7927746dc5' class='xr-section-summary-in' type='checkbox' checked /><label for='section-52110d76-9d01-4b75-a7ff-ed7927746dc5' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-57b48d6e-89ea-4b41-bad3-01ecd71ec663' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-57b48d6e-89ea-4b41-bad3-01ecd71ec663' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2de60806-e01d-4867-99f7-b9bdd005d438' class='xr-var-data-in' type='checkbox'><label for='data-2de60806-e01d-4867-99f7-b9bdd005d438' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>acidity</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.0</div><input id='attrs-eaca9c3a-09d5-4d32-afcc-71c62400eb25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eaca9c3a-09d5-4d32-afcc-71c62400eb25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf2bca73-a352-4c9c-ae71-883ab4192989' class='xr-var-data-in' type='checkbox'><label for='data-bf2bca73-a352-4c9c-ae71-883ab4192989' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.7</div><input id='attrs-300fbab7-5bef-4a6c-9b0a-1f199be7f24e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-300fbab7-5bef-4a6c-9b0a-1f199be7f24e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47cede98-0960-4f74-bf00-097441440ab3' class='xr-var-data-in' type='checkbox'><label for='data-47cede98-0960-4f74-bf00-097441440ab3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([33.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.9</div><input id='attrs-09816dda-04e9-4406-b13c-1fa19ac566c6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-09816dda-04e9-4406-b13c-1fa19ac566c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7770bec7-56fc-4f29-be8d-8cd700280b5c' class='xr-var-data-in' type='checkbox'><label for='data-7770bec7-56fc-4f29-be8d-8cd700280b5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([6.9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_speed_indicative</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.48e+03</div><input id='attrs-6814d4be-fbd6-4ab7-ad24-38bfb8398ac5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6814d4be-fbd6-4ab7-ad24-38bfb8398ac5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c4ed54e-5471-4f70-844d-c2b29645a158' class='xr-var-data-in' type='checkbox'><label for='data-7c4ed54e-5471-4f70-844d-c2b29645a158' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1479.95204001])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_velocity_profile</span></div><div class='xr-var-dims'>(time1, sound_velocity_profile_depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.48e+03 1.48e+03</div><input id='attrs-fdb426d1-6f4a-4369-80bb-e5a355086c7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdb426d1-6f4a-4369-80bb-e5a355086c7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9b8e579-51f0-479a-8d50-ae39ddebc22b' class='xr-var-data-in' type='checkbox'><label for='data-e9b8e579-51f0-479a-8d50-ae39ddebc22b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sound velocity profile</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>parsed from raw data files as (depth, sound_speed) value pairs</dd></dl></div><div class='xr-var-data'><pre>array([[1479.95204, 1479.95204]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_velocity_source</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;Calculated&#x27;</div><input id='attrs-ac430007-67f8-43ad-b518-a7459dac338b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac430007-67f8-43ad-b518-a7459dac338b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4ac3481-e654-42e8-a7a7-c6590ad35be0' class='xr-var-data-in' type='checkbox'><label for='data-b4ac3481-e654-42e8-a7a7-c6590ad35be0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Calculated&#x27;], dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_name</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;Unknown&#x27;</div><input id='attrs-92a47c9f-4455-4941-813c-dca27c7aa3e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-92a47c9f-4455-4941-813c-dca27c7aa3e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f924e79-f83d-42b6-8423-e7d788f34d03' class='xr-var-data-in' type='checkbox'><label for='data-4f924e79-f83d-42b6-8423-e7d788f34d03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Unknown&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_sound_speed</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.48e+03</div><input id='attrs-3ac2c31c-015d-481b-ad59-bdad5ec007ed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ac2c31c-015d-481b-ad59-bdad5ec007ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65ca57cc-fa41-439a-8348-457c696a0a21' class='xr-var-data-in' type='checkbox'><label for='data-65ca57cc-fa41-439a-8348-457c696a0a21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1480.])</pre></div></li></ul></div></li></ul></div></div><br></div>\n",
+       "    transducer_sound_speed        (time1) float64 8B 1.48e+03</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-161e7689-db2c-4413-aca0-77d91a774e0f' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-161e7689-db2c-4413-aca0-77d91a774e0f' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time1</span>: 1</li><li><span class='xr-has-index'>sound_velocity_profile_depth</span>: 2</li></ul></div></li><li class='xr-section-item'><input id='section-4ca0de3b-077f-4526-ad2f-d371ec67f17b' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4ca0de3b-077f-4526-ad2f-d371ec67f17b' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time1</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163</div><input id='attrs-e8fe339f-2cf0-406f-9fdb-f617594ac64b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8fe339f-2cf0-406f-9fdb-f617594ac64b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a0a44f8-0a4a-4d6b-89bd-218865338a72' class='xr-var-data-in' type='checkbox'><label for='data-3a0a44f8-0a4a-4d6b-89bd-218865338a72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA position datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to environmental variables. Note that Platform.time3 is the same as Environment.time1.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sound_velocity_profile_depth</span></div><div class='xr-var-dims'>(sound_velocity_profile_depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1e+03</div><input id='attrs-4f60d87b-f76a-43fa-b056-ad09ca772ffa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f60d87b-f76a-43fa-b056-ad09ca772ffa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dcd4fe7-9537-4541-868f-b81f17848af6' class='xr-var-data-in' type='checkbox'><label for='data-5dcd4fe7-9537-4541-868f-b81f17848af6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([   1., 1000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c30bc0c0-c3a0-44f3-8c95-a940eaf8e514' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c30bc0c0-c3a0-44f3-8c95-a940eaf8e514' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-410714fc-4496-4d39-8581-104a37e05adc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-410714fc-4496-4d39-8581-104a37e05adc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a4dcadc-e958-43e8-bf8b-3b891a2d9e45' class='xr-var-data-in' type='checkbox'><label for='data-0a4dcadc-e958-43e8-bf8b-3b891a2d9e45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>acidity</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.0</div><input id='attrs-8536a765-e43c-41cd-af3a-11f2619c2fda' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8536a765-e43c-41cd-af3a-11f2619c2fda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d081e18-d15f-4737-a42f-7bed4be9182d' class='xr-var-data-in' type='checkbox'><label for='data-0d081e18-d15f-4737-a42f-7bed4be9182d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([8.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.7</div><input id='attrs-015748fd-415a-48a8-bb1d-043930e962ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-015748fd-415a-48a8-bb1d-043930e962ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b01d6bf-96a7-4c8b-919f-3a1e52d76037' class='xr-var-data-in' type='checkbox'><label for='data-1b01d6bf-96a7-4c8b-919f-3a1e52d76037' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([33.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.9</div><input id='attrs-9f76ee8c-76ce-49fb-ba93-fb073c6b61c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f76ee8c-76ce-49fb-ba93-fb073c6b61c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c72c4766-52ae-4015-ad1b-6703d2f9bb2e' class='xr-var-data-in' type='checkbox'><label for='data-c72c4766-52ae-4015-ad1b-6703d2f9bb2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([6.9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_speed_indicative</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.48e+03</div><input id='attrs-26e7f22b-3223-45b1-9462-560d7ccffe86' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-26e7f22b-3223-45b1-9462-560d7ccffe86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f034d0f4-0c29-4f0a-b8c6-af32561022f1' class='xr-var-data-in' type='checkbox'><label for='data-f034d0f4-0c29-4f0a-b8c6-af32561022f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1479.95204001])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_velocity_profile</span></div><div class='xr-var-dims'>(time1, sound_velocity_profile_depth)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.48e+03 1.48e+03</div><input id='attrs-4649aac4-12c7-4f3d-a9ee-02618b4186c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4649aac4-12c7-4f3d-a9ee-02618b4186c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66adc022-39ff-4762-b654-6d86ba719472' class='xr-var-data-in' type='checkbox'><label for='data-66adc022-39ff-4762-b654-6d86ba719472' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sound velocity profile</dd><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>parsed from raw data files as (depth, sound_speed) value pairs</dd></dl></div><div class='xr-var-data'><pre>array([[1479.95204, 1479.95204]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_velocity_source</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;Calculated&#x27;</div><input id='attrs-478bb0b7-89af-4fd9-ab07-144c6c025510' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-478bb0b7-89af-4fd9-ab07-144c6c025510' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2b3d74d-a932-4bd3-9e6c-d93e97f5e6c4' class='xr-var-data-in' type='checkbox'><label for='data-c2b3d74d-a932-4bd3-9e6c-d93e97f5e6c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Calculated&#x27;], dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_name</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;Unknown&#x27;</div><input id='attrs-5c3120cf-4abd-4f54-a5c9-457358207615' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c3120cf-4abd-4f54-a5c9-457358207615' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7d9ebe3-5410-4d89-b06d-79116ccf32fa' class='xr-var-data-in' type='checkbox'><label for='data-a7d9ebe3-5410-4d89-b06d-79116ccf32fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Unknown&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_sound_speed</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.48e+03</div><input id='attrs-bd7b750f-c188-4d44-bdfb-05630723b3b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd7b750f-c188-4d44-bdfb-05630723b3b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5658d768-5059-455a-96b1-608961d98df4' class='xr-var-data-in' type='checkbox'><label for='data-5658d768-5059-455a-96b1-608961d98df4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1480.])</pre></div></li></ul></div></li></ul></div></div><br></div>\n",
        "                        </ul>\n",
        "                    </div>\n",
-       "                </li><li class=\"xr-section-list\"><input id=\"idata_12c37c02b22343c5bd9737722b8b7e27\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-       "                    <label for=\"idata_12c37c02b22343c5bd9737722b8b7e27\" class=\"xr-section-summary\">Platform: contains information about the platform on which the sonar is installed.</label>\n",
+       "                </li><li class=\"xr-section-list\"><input id=\"idata_23c6a4f3c6f9bfa292763077cc2d0de5\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                    <label for=\"idata_23c6a4f3c6f9bfa292763077cc2d0de5\" class=\"xr-section-summary\">Platform: contains information about the platform on which the sonar is installed.</label>\n",
        "                    <div class=\"xr-section-inline-details\"></div>\n",
        "                    <div class=\"xr-section-details\">\n",
        "                        <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
@@ -1927,26 +2012,26 @@
        "Attributes:\n",
        "    platform_name:       \n",
        "    platform_type:       \n",
-       "    platform_code_ICES:  </pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0e93513e-f12a-4849-bd02-5b8e2ac9b2aa' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-0e93513e-f12a-4849-bd02-5b8e2ac9b2aa' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time1</span>: 1451</li><li><span class='xr-has-index'>time2</span>: 1837</li><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>time3</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-931615c1-ee92-46bf-8232-384f07e898da' class='xr-section-summary-in' type='checkbox' checked /><label for='section-931615c1-ee92-46bf-8232-384f07e898da' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time1</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-ceae60ff-a9e6-483e-94c2-f5f91cae740b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ceae60ff-a9e6-483e-94c2-f5f91cae740b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9d517e3-d24e-4af2-b8c7-7f281f39b07c' class='xr-var-data-in' type='checkbox'><label for='data-f9d517e3-d24e-4af2-b8c7-7f281f39b07c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to NMEA position data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:27.277163000&#x27;,\n",
+       "    platform_code_ICES:  </pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6ff7ee9a-8b89-4a60-87ef-37d0afe6b9b4' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-6ff7ee9a-8b89-4a60-87ef-37d0afe6b9b4' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time1</span>: 1451</li><li><span class='xr-has-index'>time2</span>: 1837</li><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>time3</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-cd318dee-1d1b-41d8-8c70-33e4b5f658e5' class='xr-section-summary-in' type='checkbox' checked /><label for='section-cd318dee-1d1b-41d8-8c70-33e4b5f658e5' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time1</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-cf3de7bb-2b37-40f3-801d-fb3a8dbcb48e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf3de7bb-2b37-40f3-801d-fb3a8dbcb48e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfbd742f-9c9c-4d97-bcd3-aedecc524d29' class='xr-var-data-in' type='checkbox'><label for='data-dfbd742f-9c9c-4d97-bcd3-aedecc524d29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to NMEA position data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:27.277163000&#x27;,\n",
        "       &#x27;2023-08-11T16:57:27.277163000&#x27;, ..., &#x27;2023-08-11T17:05:30.095901000&#x27;,\n",
        "       &#x27;2023-08-11T17:05:29.858971000&#x27;, &#x27;2023-08-11T17:05:30.086050000&#x27;],\n",
-       "      shape=(1451,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time2</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:28.465496 ... 2...</div><input id='attrs-44872f10-4f3d-41d9-bdcd-422b61ec60b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44872f10-4f3d-41d9-bdcd-422b61ec60b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c30191e0-83c6-472c-b058-216690739807' class='xr-var-data-in' type='checkbox'><label for='data-c30191e0-83c6-472c-b058-216690739807' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform motion and orientation data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:28.465496000&#x27;, &#x27;2023-08-11T16:57:28.739187000&#x27;,\n",
+       "      shape=(1451,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time2</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:28.465496 ... 2...</div><input id='attrs-a990d154-e2bc-4149-b9b7-062e6bc5e038' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a990d154-e2bc-4149-b9b7-062e6bc5e038' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54d30ed9-2e59-4b06-ad5d-a3cef070e3e9' class='xr-var-data-in' type='checkbox'><label for='data-54d30ed9-2e59-4b06-ad5d-a3cef070e3e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform motion and orientation data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:28.465496000&#x27;, &#x27;2023-08-11T16:57:28.739187000&#x27;,\n",
        "       &#x27;2023-08-11T16:57:28.953922000&#x27;, ..., &#x27;2023-08-11T17:05:30.767675000&#x27;,\n",
        "       &#x27;2023-08-11T17:05:31.043379000&#x27;, &#x27;2023-08-11T17:05:31.258127000&#x27;],\n",
-       "      shape=(1837,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U25</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-3a6fab86-bf81-43f0-beba-e918cf3fb54e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a6fab86-bf81-43f0-beba-e918cf3fb54e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd25d07b-70b1-4631-b741-3d97210699d1' class='xr-var-data-in' type='checkbox'><label for='data-dd25d07b-70b1-4631-b741-3d97210699d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
+       "      shape=(1837,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U25</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-31d95dd7-9318-4a76-a969-7b5c2e3dddce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31d95dd7-9318-4a76-a969-7b5c2e3dddce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db3e349b-7637-4295-83f9-5d0d95c25ebc' class='xr-var-data-in' type='checkbox'><label for='data-db3e349b-7637-4295-83f9-5d0d95c25ebc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
        "       &#x27;WBT 400142-15 ES70-7C_ES&#x27;, &#x27;WBT 400143-15 ES38B_ES&#x27;,\n",
-       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time3</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163</div><input id='attrs-2b2b0819-e848-455b-b723-2312e0a3bca9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b2b0819-e848-455b-b723-2312e0a3bca9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74b06014-0726-424f-8156-97338da8166c' class='xr-var-data-in' type='checkbox'><label for='data-74b06014-0726-424f-8156-97338da8166c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data from the Kongsberg Maritime Binary Datagram</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform motion and orientation data from the Kongsberg Maritime Binary Datagram.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da9a8110-1b46-4411-babf-d08c126f3863' class='xr-section-summary-in' type='checkbox' /><label for='section-da9a8110-1b46-4411-babf-d08c126f3863' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>43.95 43.95 43.95 ... 43.95 43.95</div><input id='attrs-55794b54-4b17-40f8-97f4-efc1d3de5bab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55794b54-4b17-40f8-97f4-efc1d3de5bab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6033be14-2678-48f6-b08a-4a1bf62f9151' class='xr-var-data-in' type='checkbox'><label for='data-6033be14-2678-48f6-b08a-4a1bf62f9151' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><pre>array([43.94577833, 43.94577833, 43.94572517, ..., 43.9457045 ,\n",
-       "       43.94572   , 43.94572   ], shape=(1451,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-125.0 -125.0 ... -124.9 -124.9</div><input id='attrs-4b6840fc-5827-4bf7-9949-a5e530e8cad3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b6840fc-5827-4bf7-9949-a5e530e8cad3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b228ea8-f015-4f17-ae45-7e5e4b7c57ee' class='xr-var-data-in' type='checkbox'><label for='data-2b228ea8-f015-4f17-ae45-7e5e4b7c57ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_range :</span></dt><dd>(-180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>array([-124.96901333, -124.96894833, -124.96879883, ..., -124.93656817,\n",
-       "       -124.93679333, -124.93679333], shape=(1451,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sentence_type</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;GGA&#x27; &#x27;GLL&#x27; &#x27;GGA&#x27; ... &#x27;GGA&#x27; &#x27;GLL&#x27;</div><input id='attrs-be56772e-416b-4e78-af6c-92538575f79d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be56772e-416b-4e78-af6c-92538575f79d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d261408-0144-4713-b3c7-a63a2640ca1c' class='xr-var-data-in' type='checkbox'><label for='data-8d261408-0144-4713-b3c7-a63a2640ca1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>NMEA sentence type</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;GGA&#x27;, &#x27;GLL&#x27;, &#x27;GGA&#x27;, ..., &#x27;GGA&#x27;, &#x27;GGA&#x27;, &#x27;GLL&#x27;],\n",
-       "      shape=(1451,), dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.01 -0.03 -0.04 ... 1.38 1.46</div><input id='attrs-1cf78fcd-65dc-465f-bfdf-eae8de493bf9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cf78fcd-65dc-465f-bfdf-eae8de493bf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-befcba47-ca56-4686-bb18-de5b5b74e07f' class='xr-var-data-in' type='checkbox'><label for='data-befcba47-ca56-4686-bb18-de5b5b74e07f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><pre>array([-0.01      , -0.03      , -0.04      , ...,  1.25999999,\n",
-       "        1.38      ,  1.46000004], shape=(1837,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.11 0.26 0.51 ... 0.86 0.87 0.86</div><input id='attrs-6db62884-9b56-4dd6-9067-80381932183d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6db62884-9b56-4dd6-9067-80381932183d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95ea5015-2320-45e8-9b58-ac165b73b7e4' class='xr-var-data-in' type='checkbox'><label for='data-95ea5015-2320-45e8-9b58-ac165b73b7e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><pre>array([-0.11      ,  0.25999999,  0.50999999, ...,  0.86000001,\n",
-       "        0.87      ,  0.86000001], shape=(1837,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_offset</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.71 0.64 0.58 ... -0.61 -0.62</div><input id='attrs-32c64f0c-a817-4f64-b659-a6f3720d750d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32c64f0c-a817-4f64-b659-a6f3720d750d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-446833e4-4ab0-4d87-95a5-6037169c5fcd' class='xr-var-data-in' type='checkbox'><label for='data-446833e4-4ab0-4d87-95a5-6037169c5fcd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform vertical offset from nominal water level</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 0.70999998,  0.63999999,  0.57999998, ..., -0.58999997,\n",
-       "       -0.61000001, -0.62      ], shape=(1837,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-35c17d25-5f0e-46bc-8d4b-bcce5524a588' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35c17d25-5f0e-46bc-8d4b-bcce5524a588' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fbe465c-cf7e-4b5b-8600-909a95faf4ba' class='xr-var-data-in' type='checkbox'><label for='data-3fbe465c-cf7e-4b5b-8600-909a95faf4ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance from the platform coordinate system origin to the nominal water level along the z-axis</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drop_keel_offset</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.15</div><input id='attrs-d867f666-d67b-47d5-b67e-eb348787a4a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d867f666-d67b-47d5-b67e-eb348787a4a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-543906d2-0ea3-41cb-83bc-050bb84d3825' class='xr-var-data-in' type='checkbox'><label for='data-543906d2-0ea3-41cb-83bc-050bb84d3825' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(9.15)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drop_keel_offset_is_manual</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-d2ee434d-1b55-44ef-81d4-8413202b058e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2ee434d-1b55-44ef-81d4-8413202b058e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-887ddb81-f112-4317-872a-7e89866f87c0' class='xr-var-data-in' type='checkbox'><label for='data-887ddb81-f112-4317-872a-7e89866f87c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_level_draft_is_manual</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-5765ab80-1989-451b-840c-d65741a4a026' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5765ab80-1989-451b-840c-d65741a4a026' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb312204-a887-4c57-80d1-95840af04d24' class='xr-var-data-in' type='checkbox'><label for='data-eb312204-a887-4c57-80d1-95840af04d24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_x</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 0.0</div><input id='attrs-e7b1cf21-d301-43be-b742-7f2f79ffe1fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7b1cf21-d301-43be-b742-7f2f79ffe1fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c051b5e2-1d8f-41fa-9ac3-24bff57ef9b1' class='xr-var-data-in' type='checkbox'><label for='data-c051b5e2-1d8f-41fa-9ac3-24bff57ef9b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_y</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 0.0</div><input id='attrs-b849720f-a027-4980-a4ab-593f132775de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b849720f-a027-4980-a4ab-593f132775de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-012d48a2-a1c9-4575-9ded-2d4f345d8e4a' class='xr-var-data-in' type='checkbox'><label for='data-012d48a2-a1c9-4575-9ded-2d4f345d8e4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_z</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 0.0</div><input id='attrs-78f90d9c-48c6-4be3-9f23-9e71a8aaf3ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78f90d9c-48c6-4be3-9f23-9e71a8aaf3ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e9e967f-190c-4d88-bac4-05492e643797' class='xr-var-data-in' type='checkbox'><label for='data-0e9e967f-190c-4d88-bac4-05492e643797' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-831c79d5-553c-45e1-8974-ad14429b2e32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-831c79d5-553c-45e1-8974-ad14429b2e32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f45cd273-139d-443c-a7cd-5c62d90a31db' class='xr-var-data-in' type='checkbox'><label for='data-f45cd273-139d-443c-a7cd-5c62d90a31db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the x-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-ca9353bc-ddc4-4447-9704-d7daaa908369' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca9353bc-ddc4-4447-9704-d7daaa908369' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f73e8184-fd70-4899-8e76-e97513362f09' class='xr-var-data-in' type='checkbox'><label for='data-f73e8184-fd70-4899-8e76-e97513362f09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the y-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-9ac7d6df-dafe-407e-aea5-26a6150f10c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ac7d6df-dafe-407e-aea5-26a6150f10c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50d9e567-d44f-4f97-8b7a-3004230c0b8f' class='xr-var-data-in' type='checkbox'><label for='data-50d9e567-d44f-4f97-8b7a-3004230c0b8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the z-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-d1430c9d-579e-4e53-a094-d3af47ee0d92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1430c9d-579e-4e53-a094-d3af47ee0d92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bf7c3df-ee63-4a3e-a9dc-647022d289d0' class='xr-var-data-in' type='checkbox'><label for='data-6bf7c3df-ee63-4a3e-a9dc-647022d289d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the x-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-7cf8e35f-1288-47f9-9f2c-dbddc2b80823' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cf8e35f-1288-47f9-9f2c-dbddc2b80823' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8fb3388-b89a-49ae-8b2a-7ef16a69b936' class='xr-var-data-in' type='checkbox'><label for='data-a8fb3388-b89a-49ae-8b2a-7ef16a69b936' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the y-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-63e8df8a-df2f-4b90-83fd-81beb882d202' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63e8df8a-df2f-4b90-83fd-81beb882d202' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8454d7b7-c101-4b73-a312-7fedbc05b5c8' class='xr-var-data-in' type='checkbox'><label for='data-8454d7b7-c101-4b73-a312-7fedbc05b5c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the z-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-30a48a59-69be-4d36-b05e-6c882258fb68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30a48a59-69be-4d36-b05e-6c882258fb68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dff7421-f58d-449e-9961-2c3cf2d5f9fa' class='xr-var-data-in' type='checkbox'><label for='data-4dff7421-f58d-449e-9961-2c3cf2d5f9fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the x-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-48e35e8b-4c39-40d0-ac59-6067a3675235' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48e35e8b-4c39-40d0-ac59-6067a3675235' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d7d9c9d-6b5f-4109-a703-ba61ee9a7425' class='xr-var-data-in' type='checkbox'><label for='data-6d7d9c9d-6b5f-4109-a703-ba61ee9a7425' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the y-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-43421ecf-2606-4914-91a7-7508c156ec4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43421ecf-2606-4914-91a7-7508c156ec4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c5c61c4-190c-4e97-80a1-e6a89585340f' class='xr-var-data-in' type='checkbox'><label for='data-7c5c61c4-190c-4e97-80a1-e6a89585340f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the z-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-72eb54dd-f0ef-432a-889b-d1222f24a8d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72eb54dd-f0ef-432a-889b-d1222f24a8d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcdfa156-3096-45ab-9fdc-95b33374e7b5' class='xr-var-data-in' type='checkbox'><label for='data-bcdfa156-3096-45ab-9fdc-95b33374e7b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>94.5 94.5 94.5 ... 91.4 91.4 91.4</div><input id='attrs-752d4841-1141-413b-a212-d70db972a4da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-752d4841-1141-413b-a212-d70db972a4da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-952c282c-2d8b-4a03-8539-63ba2f756b25' class='xr-var-data-in' type='checkbox'><label for='data-952c282c-2d8b-4a03-8539-63ba2f756b25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform heading (true)</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>360.0</dd></dl></div><div class='xr-var-data'><pre>array([94.5       , 94.5       , 94.5       , ..., 91.40000153,\n",
-       "       91.40000153, 91.40000153], shape=(1837,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_mru1</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-31f4625a-970b-443f-9e61-91386d130799' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31f4625a-970b-443f-9e61-91386d130799' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1a47b21-b0c7-4c9f-81f3-d060214bed05' class='xr-var-data-in' type='checkbox'><label for='data-c1a47b21-b0c7-4c9f-81f3-d060214bed05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd><dt><span>comment :</span></dt><dd>Derived from the Simrad MRU1 Datagrams which are a wrapper of the Kongsberg Maritime Binary Datagrams.</dd></dl></div><div class='xr-var-data'><pre>array([nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_mru1</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-29fbb388-d38f-4d13-8194-0e8d1ed210da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29fbb388-d38f-4d13-8194-0e8d1ed210da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b910985-4c7b-4f44-892f-f8eb49538e4f' class='xr-var-data-in' type='checkbox'><label for='data-4b910985-4c7b-4f44-892f-f8eb49538e4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_range :</span></dt><dd>(-180.0, 180.0)</dd><dt><span>comment :</span></dt><dd>Derived from the Simrad MRU1 Datagrams which are a wrapper of the Kongsberg Maritime Binary Datagrams.</dd></dl></div><div class='xr-var-data'><pre>array([nan])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-93de6b77-f87b-4572-b08b-e73e825dbe2c' class='xr-section-summary-in' type='checkbox' checked /><label for='section-93de6b77-f87b-4572-b08b-e73e825dbe2c' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>platform_name :</span></dt><dd></dd><dt><span>platform_type :</span></dt><dd></dd><dt><span>platform_code_ICES :</span></dt><dd></dd></dl></div></li></ul></div></div><br></div>\n",
+       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time3</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163</div><input id='attrs-d276395b-6dc8-4969-8c4f-b5fe74883f52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d276395b-6dc8-4969-8c4f-b5fe74883f52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b35acd1-942f-43a7-ae2a-0053898187a6' class='xr-var-data-in' type='checkbox'><label for='data-4b35acd1-942f-43a7-ae2a-0053898187a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data from the Kongsberg Maritime Binary Datagram</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform motion and orientation data from the Kongsberg Maritime Binary Datagram.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9f0dfe38-e322-47c6-8695-4d5b5720e75b' class='xr-section-summary-in' type='checkbox' /><label for='section-9f0dfe38-e322-47c6-8695-4d5b5720e75b' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>43.95 43.95 43.95 ... 43.95 43.95</div><input id='attrs-48f2ee3e-6de0-41bf-b5bf-b2b2e475b56a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48f2ee3e-6de0-41bf-b5bf-b2b2e475b56a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d5d2b2f-04a0-488e-81bc-06813e413f99' class='xr-var-data-in' type='checkbox'><label for='data-1d5d2b2f-04a0-488e-81bc-06813e413f99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><pre>array([43.94577833, 43.94577833, 43.94572517, ..., 43.9457045 ,\n",
+       "       43.94572   , 43.94572   ], shape=(1451,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-125.0 -125.0 ... -124.9 -124.9</div><input id='attrs-f685d01d-70a3-4991-bf8b-67c4abaddd6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f685d01d-70a3-4991-bf8b-67c4abaddd6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c51e9981-79ca-42bb-8995-a9a76add9f8d' class='xr-var-data-in' type='checkbox'><label for='data-c51e9981-79ca-42bb-8995-a9a76add9f8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_range :</span></dt><dd>(-180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>array([-124.96901333, -124.96894833, -124.96879883, ..., -124.93656817,\n",
+       "       -124.93679333, -124.93679333], shape=(1451,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sentence_type</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;GGA&#x27; &#x27;GLL&#x27; &#x27;GGA&#x27; ... &#x27;GGA&#x27; &#x27;GLL&#x27;</div><input id='attrs-b336b379-95da-4baf-959f-aca03687d6fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b336b379-95da-4baf-959f-aca03687d6fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62b5789e-bc53-4e8e-91a1-74df64294b75' class='xr-var-data-in' type='checkbox'><label for='data-62b5789e-bc53-4e8e-91a1-74df64294b75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>NMEA sentence type</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;GGA&#x27;, &#x27;GLL&#x27;, &#x27;GGA&#x27;, ..., &#x27;GGA&#x27;, &#x27;GGA&#x27;, &#x27;GLL&#x27;],\n",
+       "      shape=(1451,), dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.01 -0.03 -0.04 ... 1.38 1.46</div><input id='attrs-f9b3ebf8-8626-4527-b8c2-5a956b53fdb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9b3ebf8-8626-4527-b8c2-5a956b53fdb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15679914-25e5-492d-8292-d3225bc3389a' class='xr-var-data-in' type='checkbox'><label for='data-15679914-25e5-492d-8292-d3225bc3389a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><pre>array([-0.01      , -0.03      , -0.04      , ...,  1.25999999,\n",
+       "        1.38      ,  1.46000004], shape=(1837,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.11 0.26 0.51 ... 0.86 0.87 0.86</div><input id='attrs-b03fcc29-7272-40dd-bc6d-f09bd759e5e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b03fcc29-7272-40dd-bc6d-f09bd759e5e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d40dc000-1d94-47d6-ac39-413931bd4558' class='xr-var-data-in' type='checkbox'><label for='data-d40dc000-1d94-47d6-ac39-413931bd4558' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><pre>array([-0.11      ,  0.25999999,  0.50999999, ...,  0.86000001,\n",
+       "        0.87      ,  0.86000001], shape=(1837,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_offset</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.71 0.64 0.58 ... -0.61 -0.62</div><input id='attrs-a4f0eb9a-5e1c-4479-b48b-3880f59b8f96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4f0eb9a-5e1c-4479-b48b-3880f59b8f96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28812d85-9015-465a-af8a-e46e818d90da' class='xr-var-data-in' type='checkbox'><label for='data-28812d85-9015-465a-af8a-e46e818d90da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform vertical offset from nominal water level</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 0.70999998,  0.63999999,  0.57999998, ..., -0.58999997,\n",
+       "       -0.61000001, -0.62      ], shape=(1837,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-82bfe1ba-cde4-4d16-979d-ad906684c6fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82bfe1ba-cde4-4d16-979d-ad906684c6fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a5d00c0-ae5c-4ceb-9d10-40d88e39bc7a' class='xr-var-data-in' type='checkbox'><label for='data-8a5d00c0-ae5c-4ceb-9d10-40d88e39bc7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance from the platform coordinate system origin to the nominal water level along the z-axis</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drop_keel_offset</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.15</div><input id='attrs-948c48cb-d644-4035-a399-ee052589bbc4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-948c48cb-d644-4035-a399-ee052589bbc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3b74464-cfb1-4fb5-966a-5ca0dd8e3fe7' class='xr-var-data-in' type='checkbox'><label for='data-a3b74464-cfb1-4fb5-966a-5ca0dd8e3fe7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(9.15)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drop_keel_offset_is_manual</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-18a3105b-6a62-44cf-b0d6-11a63ea9e2cd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18a3105b-6a62-44cf-b0d6-11a63ea9e2cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-867f900f-7374-442c-aec3-c859a4ac75dd' class='xr-var-data-in' type='checkbox'><label for='data-867f900f-7374-442c-aec3-c859a4ac75dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_level_draft_is_manual</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-d55669e4-118a-453d-8f19-e5ae2c77143d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d55669e4-118a-453d-8f19-e5ae2c77143d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3544cc81-7caf-48f0-8f32-c963ab08dff5' class='xr-var-data-in' type='checkbox'><label for='data-3544cc81-7caf-48f0-8f32-c963ab08dff5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_x</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 0.0</div><input id='attrs-54bc0829-a9bb-49ab-b814-a7ee94ac492e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54bc0829-a9bb-49ab-b814-a7ee94ac492e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32efb299-47a6-4182-93f7-cf8022a76af5' class='xr-var-data-in' type='checkbox'><label for='data-32efb299-47a6-4182-93f7-cf8022a76af5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_y</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 0.0</div><input id='attrs-903d22cb-5080-4d14-bb6a-813f7628ba0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-903d22cb-5080-4d14-bb6a-813f7628ba0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ab617c4-b2e5-49c0-8e75-9bad4f999825' class='xr-var-data-in' type='checkbox'><label for='data-0ab617c4-b2e5-49c0-8e75-9bad4f999825' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_z</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 0.0</div><input id='attrs-4a803d86-cf98-440a-94a5-5820f8c3436e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a803d86-cf98-440a-94a5-5820f8c3436e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cff0c52-f236-4dac-bbb4-f0573cb44a4d' class='xr-var-data-in' type='checkbox'><label for='data-8cff0c52-f236-4dac-bbb4-f0573cb44a4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-22bd1b7a-bc75-4ff6-9b83-2e07565970b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22bd1b7a-bc75-4ff6-9b83-2e07565970b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-540199c2-7fef-42c5-8194-82bab44ded20' class='xr-var-data-in' type='checkbox'><label for='data-540199c2-7fef-42c5-8194-82bab44ded20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the x-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-5cf595ba-43c0-42dc-b5e0-392958bf77e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cf595ba-43c0-42dc-b5e0-392958bf77e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40cef1a2-f791-4601-89aa-7a669cf4bf52' class='xr-var-data-in' type='checkbox'><label for='data-40cef1a2-f791-4601-89aa-7a669cf4bf52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the y-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-2c3f4b45-cb2a-4c50-877d-95b8fa77300b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c3f4b45-cb2a-4c50-877d-95b8fa77300b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e37b322-3f53-4358-bc08-bbac4db0a90e' class='xr-var-data-in' type='checkbox'><label for='data-6e37b322-3f53-4358-bc08-bbac4db0a90e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the z-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-b82fba8d-9129-4567-b558-48fdf63c6627' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b82fba8d-9129-4567-b558-48fdf63c6627' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4488825-117b-420f-abea-03af41332567' class='xr-var-data-in' type='checkbox'><label for='data-a4488825-117b-420f-abea-03af41332567' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the x-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-5e3138e9-8243-430c-ad72-df9f4dfe84d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e3138e9-8243-430c-ad72-df9f4dfe84d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68ce576a-c47f-495a-9829-0d8cacdc77e8' class='xr-var-data-in' type='checkbox'><label for='data-68ce576a-c47f-495a-9829-0d8cacdc77e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the y-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-020ff732-98aa-4a96-b10d-6b78c162b5da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-020ff732-98aa-4a96-b10d-6b78c162b5da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4c7ab8a-7557-43ea-9232-8ca893202e03' class='xr-var-data-in' type='checkbox'><label for='data-a4c7ab8a-7557-43ea-9232-8ca893202e03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the z-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-c9b1e878-ff29-4b9b-88ea-1c18f103b078' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9b1e878-ff29-4b9b-88ea-1c18f103b078' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46b75cb6-749e-4032-90b1-8f4cfddf6457' class='xr-var-data-in' type='checkbox'><label for='data-46b75cb6-749e-4032-90b1-8f4cfddf6457' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the x-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-8ed6cb27-052c-402e-95d7-f2e4d0631b4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ed6cb27-052c-402e-95d7-f2e4d0631b4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4f618c1-2494-4029-abb7-c6099025785b' class='xr-var-data-in' type='checkbox'><label for='data-f4f618c1-2494-4029-abb7-c6099025785b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the y-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-896db848-4de4-4769-ad29-02d652cea6c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-896db848-4de4-4769-ad29-02d652cea6c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d77db254-35f7-4316-a1c1-81e47adcde1f' class='xr-var-data-in' type='checkbox'><label for='data-d77db254-35f7-4316-a1c1-81e47adcde1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the z-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-33591ea7-b3b9-481c-bf23-fc9769919991' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33591ea7-b3b9-481c-bf23-fc9769919991' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bda27e64-54a0-4558-aece-63f5fd2e4094' class='xr-var-data-in' type='checkbox'><label for='data-bda27e64-54a0-4558-aece-63f5fd2e4094' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>94.5 94.5 94.5 ... 91.4 91.4 91.4</div><input id='attrs-7a98125d-0b42-4c3d-985a-5c56af7062cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a98125d-0b42-4c3d-985a-5c56af7062cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cab7da3f-6b1b-4973-b5f2-32401190f256' class='xr-var-data-in' type='checkbox'><label for='data-cab7da3f-6b1b-4973-b5f2-32401190f256' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform heading (true)</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>360.0</dd></dl></div><div class='xr-var-data'><pre>array([94.5       , 94.5       , 94.5       , ..., 91.40000153,\n",
+       "       91.40000153, 91.40000153], shape=(1837,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_mru1</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-d4781c9d-b2e2-4bd5-bae6-5b445704e91c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4781c9d-b2e2-4bd5-bae6-5b445704e91c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8298fa26-7538-479d-95ec-449ee187b950' class='xr-var-data-in' type='checkbox'><label for='data-8298fa26-7538-479d-95ec-449ee187b950' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd><dt><span>comment :</span></dt><dd>Derived from the Simrad MRU1 Datagrams which are a wrapper of the Kongsberg Maritime Binary Datagrams.</dd></dl></div><div class='xr-var-data'><pre>array([nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_mru1</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan</div><input id='attrs-60d9eacb-ce38-4625-9fa9-cb3c09e46bea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60d9eacb-ce38-4625-9fa9-cb3c09e46bea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c6a6437-692b-4c30-95c4-70faef5e5c5d' class='xr-var-data-in' type='checkbox'><label for='data-1c6a6437-692b-4c30-95c4-70faef5e5c5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_range :</span></dt><dd>(-180.0, 180.0)</dd><dt><span>comment :</span></dt><dd>Derived from the Simrad MRU1 Datagrams which are a wrapper of the Kongsberg Maritime Binary Datagrams.</dd></dl></div><div class='xr-var-data'><pre>array([nan])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8fc50529-cc1f-428c-a87f-e430bfa8ebcc' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8fc50529-cc1f-428c-a87f-e430bfa8ebcc' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>platform_name :</span></dt><dd></dd><dt><span>platform_type :</span></dt><dd></dd><dt><span>platform_code_ICES :</span></dt><dd></dd></dl></div></li></ul></div></div><br></div>\n",
        "                        </ul>\n",
        "                    </div>\n",
-       "                </li><ul><li class=\"xr-section-list\"><input id=\"idata_8984ba332aa716d494313d052c002e72\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-       "                    <label for=\"idata_8984ba332aa716d494313d052c002e72\" class=\"xr-section-summary\">NMEA: contains information specific to the NMEA protocol.</label>\n",
+       "                </li><ul><li class=\"xr-section-list\"><input id=\"idata_15ac44e82e2752e9a1ed60d524b1ddfa\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                    <label for=\"idata_15ac44e82e2752e9a1ed60d524b1ddfa\" class=\"xr-section-summary\">NMEA: contains information specific to the NMEA protocol.</label>\n",
        "                    <div class=\"xr-section-inline-details\"></div>\n",
        "                    <div class=\"xr-section-details\">\n",
        "                        <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
@@ -2504,27 +2589,27 @@
        "Data variables:\n",
        "    NMEA_datagram  (nmea_time) &lt;U70 2MB &#x27;$SDVLW,4418.987,N,4418.987,N&#x27; ... &#x27;$...\n",
        "Attributes:\n",
-       "    description:  All NMEA sensor datagrams</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-abfc55bd-a8f5-46f9-be4b-9b57481a92c4' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-abfc55bd-a8f5-46f9-be4b-9b57481a92c4' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>nmea_time</span>: 5479</li><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>time1</span>: 1451</li><li><span class='xr-has-index'>time2</span>: 1837</li><li><span class='xr-has-index'>time3</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-57cace7b-0363-4cd4-ae94-026b1c5f3faa' class='xr-section-summary-in' type='checkbox' checked /><label for='section-57cace7b-0363-4cd4-ae94-026b1c5f3faa' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nmea_time</span></div><div class='xr-var-dims'>(nmea_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-f4eb37a2-6477-45af-8c49-a5ba930c749e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4eb37a2-6477-45af-8c49-a5ba930c749e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9e6181f-8c08-486f-89ce-1d4d4f6491ae' class='xr-var-data-in' type='checkbox'><label for='data-b9e6181f-8c08-486f-89ce-1d4d4f6491ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to NMEA sensor data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:27.277163000&#x27;,\n",
+       "    description:  All NMEA sensor datagrams</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-543a4b26-cd66-439f-a0a3-16f91290ee6a' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-543a4b26-cd66-439f-a0a3-16f91290ee6a' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>nmea_time</span>: 5479</li><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>time1</span>: 1451</li><li><span class='xr-has-index'>time2</span>: 1837</li><li><span class='xr-has-index'>time3</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-2083f6c4-cebc-486e-9dd3-e2f9d765a948' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2083f6c4-cebc-486e-9dd3-e2f9d765a948' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nmea_time</span></div><div class='xr-var-dims'>(nmea_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-8ce7f3ba-b4e6-46cb-8982-34059ff4e2a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ce7f3ba-b4e6-46cb-8982-34059ff4e2a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-783a0987-e2ec-43fe-82dc-7c0a4a51929c' class='xr-var-data-in' type='checkbox'><label for='data-783a0987-e2ec-43fe-82dc-7c0a4a51929c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to NMEA sensor data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:27.277163000&#x27;,\n",
        "       &#x27;2023-08-11T16:57:27.277163000&#x27;, ..., &#x27;2023-08-11T17:05:30.086050000&#x27;,\n",
        "       &#x27;2023-08-11T17:05:30.186049000&#x27;, &#x27;2023-08-11T17:05:30.261047000&#x27;],\n",
-       "      shape=(5479,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U25</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-b34b5ffe-a9ae-466c-bed8-69380c525096' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b34b5ffe-a9ae-466c-bed8-69380c525096' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c307886c-0dad-4e1a-bc23-d379b02000ab' class='xr-var-data-in' type='checkbox'><label for='data-c307886c-0dad-4e1a-bc23-d379b02000ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
+       "      shape=(5479,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U25</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-690ed171-62a5-4589-aab0-9394937b5b18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-690ed171-62a5-4589-aab0-9394937b5b18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a87e9bb-3e6f-49e1-b25e-c0a977e55ab1' class='xr-var-data-in' type='checkbox'><label for='data-5a87e9bb-3e6f-49e1-b25e-c0a977e55ab1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
        "       &#x27;WBT 400142-15 ES70-7C_ES&#x27;, &#x27;WBT 400143-15 ES38B_ES&#x27;,\n",
-       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time1</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-9386e59a-c79f-4d3e-9d27-079d7796fe3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9386e59a-c79f-4d3e-9d27-079d7796fe3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8457aff-15c2-488e-84e7-d4f20d9595fd' class='xr-var-data-in' type='checkbox'><label for='data-a8457aff-15c2-488e-84e7-d4f20d9595fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to NMEA position data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:27.277163000&#x27;,\n",
+       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time1</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-d034f70c-1b65-4f48-bc17-6cb7ed38c931' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d034f70c-1b65-4f48-bc17-6cb7ed38c931' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d29e9a66-7767-44f9-980b-88da0185cc21' class='xr-var-data-in' type='checkbox'><label for='data-d29e9a66-7767-44f9-980b-88da0185cc21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to NMEA position data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:27.277163000&#x27;,\n",
        "       &#x27;2023-08-11T16:57:27.277163000&#x27;, ..., &#x27;2023-08-11T17:05:30.095901000&#x27;,\n",
        "       &#x27;2023-08-11T17:05:29.858971000&#x27;, &#x27;2023-08-11T17:05:30.086050000&#x27;],\n",
-       "      shape=(1451,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time2</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:28.465496 ... 2...</div><input id='attrs-c09293a5-064f-4bd2-b5b3-78b36e20a138' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c09293a5-064f-4bd2-b5b3-78b36e20a138' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ac6346d-e227-4625-8b0c-f2a8eb4fe32f' class='xr-var-data-in' type='checkbox'><label for='data-7ac6346d-e227-4625-8b0c-f2a8eb4fe32f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform motion and orientation data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:28.465496000&#x27;, &#x27;2023-08-11T16:57:28.739187000&#x27;,\n",
+       "      shape=(1451,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time2</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:28.465496 ... 2...</div><input id='attrs-41996607-ab31-4227-b428-2d41c7cc40ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41996607-ab31-4227-b428-2d41c7cc40ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6ca3a1c-d70e-44aa-bb20-60f24b7c592e' class='xr-var-data-in' type='checkbox'><label for='data-e6ca3a1c-d70e-44aa-bb20-60f24b7c592e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform motion and orientation data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:28.465496000&#x27;, &#x27;2023-08-11T16:57:28.739187000&#x27;,\n",
        "       &#x27;2023-08-11T16:57:28.953922000&#x27;, ..., &#x27;2023-08-11T17:05:30.767675000&#x27;,\n",
        "       &#x27;2023-08-11T17:05:31.043379000&#x27;, &#x27;2023-08-11T17:05:31.258127000&#x27;],\n",
-       "      shape=(1837,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time3</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163</div><input id='attrs-691903a0-8a04-402d-ab52-2a64b50bf8da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-691903a0-8a04-402d-ab52-2a64b50bf8da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9f89727-950b-4a29-98c3-076fd4563748' class='xr-var-data-in' type='checkbox'><label for='data-a9f89727-950b-4a29-98c3-076fd4563748' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data from the Kongsberg Maritime Binary Datagram</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform motion and orientation data from the Kongsberg Maritime Binary Datagram.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-386aba39-8951-4032-9563-c6725d539e39' class='xr-section-summary-in' type='checkbox' checked /><label for='section-386aba39-8951-4032-9563-c6725d539e39' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>NMEA_datagram</span></div><div class='xr-var-dims'>(nmea_time)</div><div class='xr-var-dtype'>&lt;U70</div><div class='xr-var-preview xr-preview'>&#x27;$SDVLW,4418.987,N,4418.987,N&#x27; ....</div><input id='attrs-e6e9576b-ebcd-4e79-8c5e-2e6ca36da0cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6e9576b-ebcd-4e79-8c5e-2e6ca36da0cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6de9a1a6-b7df-42f7-a491-0615e3a080ad' class='xr-var-data-in' type='checkbox'><label for='data-6de9a1a6-b7df-42f7-a491-0615e3a080ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>NMEA datagram</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;$SDVLW,4418.987,N,4418.987,N&#x27;, &#x27;$GPALR,,,V,V,&#x27;,\n",
+       "      shape=(1837,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time3</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163</div><input id='attrs-3b8de37c-bb3e-4979-ad3c-4204e01c2a41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b8de37c-bb3e-4979-ad3c-4204e01c2a41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc4f2ecd-8a76-4466-8f09-454b63f6b7c2' class='xr-var-data-in' type='checkbox'><label for='data-bc4f2ecd-8a76-4466-8f09-454b63f6b7c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data from the Kongsberg Maritime Binary Datagram</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform motion and orientation data from the Kongsberg Maritime Binary Datagram.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36c53680-07eb-487d-83ce-171b1bda8c6a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-36c53680-07eb-487d-83ce-171b1bda8c6a' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>NMEA_datagram</span></div><div class='xr-var-dims'>(nmea_time)</div><div class='xr-var-dtype'>&lt;U70</div><div class='xr-var-preview xr-preview'>&#x27;$SDVLW,4418.987,N,4418.987,N&#x27; ....</div><input id='attrs-a07da986-ab56-476c-91b4-c4511d8ec06e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a07da986-ab56-476c-91b4-c4511d8ec06e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-236be500-1ef9-429c-8072-ffa32317eef2' class='xr-var-data-in' type='checkbox'><label for='data-236be500-1ef9-429c-8072-ffa32317eef2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>NMEA datagram</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;$SDVLW,4418.987,N,4418.987,N&#x27;, &#x27;$GPALR,,,V,V,&#x27;,\n",
        "       &#x27;$GPDTM,W84,,00.0000,N,00.0000,E,,W84&#x27;, ...,\n",
        "       &#x27;$GPGLL,4356.7432,N,12456.2076,W,170529.00,A,D&#x27;,\n",
        "       &#x27;$GPZDA,170530.00,11,08,2023,00,00&#x27;,\n",
        "       &#x27;$GPVTG,89.8,T,74.9,M,10.357,N,19.181,K,D&#x27;],\n",
-       "      shape=(5479,), dtype=&#x27;&lt;U70&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ab6a0207-9bb7-470f-a947-cdcb2bc5a594' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ab6a0207-9bb7-470f-a947-cdcb2bc5a594' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>All NMEA sensor datagrams</dd></dl></div></li></ul></div></div><br></div>\n",
+       "      shape=(5479,), dtype=&#x27;&lt;U70&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ce6bbc4-76a0-47b3-821f-b59ffcf1e475' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9ce6bbc4-76a0-47b3-821f-b59ffcf1e475' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>All NMEA sensor datagrams</dd></dl></div></li></ul></div></div><br></div>\n",
        "                        </ul>\n",
        "                    </div>\n",
-       "                </li></ul><li class=\"xr-section-list\"><input id=\"idata_c9aecde7e4f8d06a068a12cc00b683e0\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-       "                    <label for=\"idata_c9aecde7e4f8d06a068a12cc00b683e0\" class=\"xr-section-summary\">Provenance: contains metadata about how the SONAR-netCDF4 version of the data were obtained.</label>\n",
+       "                </li></ul><li class=\"xr-section-list\"><input id=\"idata_16473ba15f39d0e971280da42db97051\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                    <label for=\"idata_16473ba15f39d0e971280da42db97051\" class=\"xr-section-summary\">Provenance: contains metadata about how the SONAR-netCDF4 version of the data were obtained.</label>\n",
        "                    <div class=\"xr-section-inline-details\"></div>\n",
        "                    <div class=\"xr-section-details\">\n",
        "                        <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
@@ -3078,13 +3163,13 @@
        "    source_filenames  (filenames) &lt;U82 328B &#x27;s3://noaa-wcsd-pds/data/raw/Bell...\n",
        "Attributes:\n",
        "    conversion_software_name:     echopype\n",
-       "    conversion_software_version:  0.11.2.dev107+g1bec67e4d\n",
-       "    conversion_time:              2026-07-22T22:42:26+00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c4498b41-e276-4aa5-9e36-dcbbbe233087' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-c4498b41-e276-4aa5-9e36-dcbbbe233087' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>filenames</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-12e178a6-1e9a-4f8b-a9ec-ba4f991ea532' class='xr-section-summary-in' type='checkbox' checked /><label for='section-12e178a6-1e9a-4f8b-a9ec-ba4f991ea532' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>filenames</span></div><div class='xr-var-dims'>(filenames)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-4787d9ba-a409-44f5-ba33-741179b9cb43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4787d9ba-a409-44f5-ba33-741179b9cb43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb87ede6-743f-4cb1-b794-2f1ef218737a' class='xr-var-data-in' type='checkbox'><label for='data-eb87ede6-743f-4cb1-b794-2f1ef218737a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Index for data and metadata source filenames</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc0a3a2b-b6b0-4f7f-a950-f60db3816f3a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-fc0a3a2b-b6b0-4f7f-a950-f60db3816f3a' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>source_filenames</span></div><div class='xr-var-dims'>(filenames)</div><div class='xr-var-dtype'>&lt;U82</div><div class='xr-var-preview xr-preview'>&#x27;s3://noaa-wcsd-pds/data/raw/Bel...</div><input id='attrs-bbdabcf8-e234-4bc7-82cf-0dade350be09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbdabcf8-e234-4bc7-82cf-0dade350be09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1108785-3c2a-4939-8e79-4e85232e5a02' class='xr-var-data-in' type='checkbox'><label for='data-f1108785-3c2a-4939-8e79-4e85232e5a02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Source filenames</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;s3://noaa-wcsd-pds/data/raw/Bell_M._Shimada/SH2306/EK80/Hake-D20230811-T165727.raw&#x27;],\n",
-       "      dtype=&#x27;&lt;U82&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4d01f088-4f51-4e56-9795-f51c5b58e57e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4d01f088-4f51-4e56-9795-f51c5b58e57e' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>conversion_software_name :</span></dt><dd>echopype</dd><dt><span>conversion_software_version :</span></dt><dd>0.11.2.dev107+g1bec67e4d</dd><dt><span>conversion_time :</span></dt><dd>2026-07-22T22:42:26+00:00</dd></dl></div></li></ul></div></div><br></div>\n",
+       "    conversion_software_version:  0.11.2.dev252+gaa99ea273.d20260806\n",
+       "    conversion_time:              2026-08-06T20:25:05+00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1df832cb-c168-4fc9-a60b-c0738df553cd' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-1df832cb-c168-4fc9-a60b-c0738df553cd' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>filenames</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-c0216ad8-6b8c-458a-9a58-95b34ab0abac' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c0216ad8-6b8c-458a-9a58-95b34ab0abac' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>filenames</span></div><div class='xr-var-dims'>(filenames)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-fe1a9fb3-18b1-48e9-9c5c-abfb0310bf2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe1a9fb3-18b1-48e9-9c5c-abfb0310bf2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1e54c82-21ad-4141-81af-bc62f57e60c8' class='xr-var-data-in' type='checkbox'><label for='data-f1e54c82-21ad-4141-81af-bc62f57e60c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Index for data and metadata source filenames</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9103df8d-0c39-4ccc-9c57-3eb27b573d5a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9103df8d-0c39-4ccc-9c57-3eb27b573d5a' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>source_filenames</span></div><div class='xr-var-dims'>(filenames)</div><div class='xr-var-dtype'>&lt;U82</div><div class='xr-var-preview xr-preview'>&#x27;s3://noaa-wcsd-pds/data/raw/Bel...</div><input id='attrs-793b0b3a-2734-4fef-a784-d1711a536ce7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-793b0b3a-2734-4fef-a784-d1711a536ce7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f7031c4-9162-49fc-b1ce-16cb7a4954a1' class='xr-var-data-in' type='checkbox'><label for='data-4f7031c4-9162-49fc-b1ce-16cb7a4954a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Source filenames</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;s3://noaa-wcsd-pds/data/raw/Bell_M._Shimada/SH2306/EK80/Hake-D20230811-T165727.raw&#x27;],\n",
+       "      dtype=&#x27;&lt;U82&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f8dd932-02a4-4d61-9a55-01145e8d49ae' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4f8dd932-02a4-4d61-9a55-01145e8d49ae' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>conversion_software_name :</span></dt><dd>echopype</dd><dt><span>conversion_software_version :</span></dt><dd>0.11.2.dev252+gaa99ea273.d20260806</dd><dt><span>conversion_time :</span></dt><dd>2026-08-06T20:25:05+00:00</dd></dl></div></li></ul></div></div><br></div>\n",
        "                        </ul>\n",
        "                    </div>\n",
-       "                </li><li class=\"xr-section-list\"><input id=\"idata_293d7243f61d349bd4a91d120025fbe0\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-       "                    <label for=\"idata_293d7243f61d349bd4a91d120025fbe0\" class=\"xr-section-summary\">Sonar: contains sonar system metadata and sonar beam groups.</label>\n",
+       "                </li><li class=\"xr-section-list\"><input id=\"idata_bf79690ef19fa5f986b06dfc4f0db719\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                    <label for=\"idata_bf79690ef19fa5f986b06dfc4f0db719\" class=\"xr-section-summary\">Sonar: contains sonar system metadata and sonar beam groups.</label>\n",
        "                    <div class=\"xr-section-inline-details\"></div>\n",
        "                    <div class=\"xr-section-details\">\n",
        "                        <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
@@ -3650,14 +3735,14 @@
        "    sonar_serial_number:     \n",
        "    sonar_software_name:     EK80\n",
        "    sonar_software_version:  21.15.2.0\n",
-       "    sonar_type:              echosounder</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-dd52eb09-95fc-4126-8154-db32fc63797c' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-dd52eb09-95fc-4126-8154-db32fc63797c' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>channel_all</span>: 5</li><li><span class='xr-has-index'>beam_group</span>: 1</li><li><span class='xr-has-index'>beam_group_index</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-00e52260-241c-4933-9d39-4a91f00da8f6' class='xr-section-summary-in' type='checkbox' checked /><label for='section-00e52260-241c-4933-9d39-4a91f00da8f6' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel_all</span></div><div class='xr-var-dims'>(channel_all)</div><div class='xr-var-dtype'>&lt;U25</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-498d5772-8dc4-4f39-a290-838320e8f597' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-498d5772-8dc4-4f39-a290-838320e8f597' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff8c0125-308e-4334-9aee-b6ad20f2073c' class='xr-var-data-in' type='checkbox'><label for='data-ff8c0125-308e-4334-9aee-b6ad20f2073c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
+       "    sonar_type:              echosounder</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c0a66d9a-cc98-452d-b153-0c9297893237' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-c0a66d9a-cc98-452d-b153-0c9297893237' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>channel_all</span>: 5</li><li><span class='xr-has-index'>beam_group</span>: 1</li><li><span class='xr-has-index'>beam_group_index</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-5b36075e-0463-44fb-a66c-56d54880e9be' class='xr-section-summary-in' type='checkbox' checked /><label for='section-5b36075e-0463-44fb-a66c-56d54880e9be' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel_all</span></div><div class='xr-var-dims'>(channel_all)</div><div class='xr-var-dtype'>&lt;U25</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-9658905c-d8ed-4858-ad06-21b7acabf5ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9658905c-d8ed-4858-ad06-21b7acabf5ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbf8ffb8-70d9-4442-bf2c-e74d556a0dca' class='xr-var-data-in' type='checkbox'><label for='data-bbf8ffb8-70d9-4442-bf2c-e74d556a0dca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
        "       &#x27;WBT 400142-15 ES70-7C_ES&#x27;, &#x27;WBT 400143-15 ES38B_ES&#x27;,\n",
-       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam_group</span></div><div class='xr-var-dims'>(beam_group)</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;Beam_group1&#x27;</div><input id='attrs-a7f59ec4-841d-43f4-8fa9-a2c4b456dcc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7f59ec4-841d-43f4-8fa9-a2c4b456dcc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82ce6f3e-d7b1-47ca-9304-d38c67d8f1aa' class='xr-var-data-in' type='checkbox'><label for='data-82ce6f3e-d7b1-47ca-9304-d38c67d8f1aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Beam group name</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;Beam_group1&#x27;], dtype=&#x27;&lt;U11&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam_group_index</span></div><div class='xr-var-dims'>(beam_group_index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-bfdffa7b-638b-4600-90b2-64556111f531' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bfdffa7b-638b-4600-90b2-64556111f531' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f1210dd-9ec6-4bff-a3cc-e33a2aca93ba' class='xr-var-data-in' type='checkbox'><label for='data-4f1210dd-9ec6-4bff-a3cc-e33a2aca93ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c014c565-c783-43cd-bc3a-9ee5408cd723' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c014c565-c783-43cd-bc3a-9ee5408cd723' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel_all)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-7969a9d7-a303-4722-9e45-e99c064b4ab9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7969a9d7-a303-4722-9e45-e99c064b4ab9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e305bb67-13b5-42e5-9f68-a902eb4369c4' class='xr-var-data-in' type='checkbox'><label for='data-e305bb67-13b5-42e5-9f68-a902eb4369c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transceiver_serial_number</span></div><div class='xr-var-dims'>(channel_all)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;400140&#x27; &#x27;400141&#x27; ... &#x27;400145&#x27;</div><input id='attrs-4594a091-47f7-42fb-bc50-e4efa14acae6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4594a091-47f7-42fb-bc50-e4efa14acae6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f438bd27-15b9-4c9d-9531-922b01840924' class='xr-var-data-in' type='checkbox'><label for='data-f438bd27-15b9-4c9d-9531-922b01840924' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transceiver serial number</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;400140&#x27;, &#x27;400141&#x27;, &#x27;400142&#x27;, &#x27;400143&#x27;, &#x27;400145&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_name</span></div><div class='xr-var-dims'>(channel_all)</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;ES18&#x27; &#x27;ES18&#x27; &#x27;ES18&#x27; &#x27;ES18&#x27; &#x27;ES18&#x27;</div><input id='attrs-f203bd0f-e486-4894-a222-9552be136480' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f203bd0f-e486-4894-a222-9552be136480' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a38e859-2fb3-4fde-8903-c1eb913c74f9' class='xr-var-data-in' type='checkbox'><label for='data-5a38e859-2fb3-4fde-8903-c1eb913c74f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transducer name</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;ES18&#x27;, &#x27;ES18&#x27;, &#x27;ES18&#x27;, &#x27;ES18&#x27;, &#x27;ES18&#x27;], dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_serial_number</span></div><div class='xr-var-dims'>(channel_all)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;0&#x27; &#x27;0&#x27; &#x27;0&#x27; &#x27;0&#x27; &#x27;0&#x27;</div><input id='attrs-ea47ef49-eaed-4aee-b39c-dfba168a4624' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea47ef49-eaed-4aee-b39c-dfba168a4624' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb3934ad-75f5-4efd-bebf-dc5efcb95346' class='xr-var-data-in' type='checkbox'><label for='data-fb3934ad-75f5-4efd-bebf-dc5efcb95346' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transducer serial number</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;0&#x27;, &#x27;0&#x27;, &#x27;0&#x27;, &#x27;0&#x27;, &#x27;0&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_group_descr</span></div><div class='xr-var-dims'>(beam_group)</div><div class='xr-var-dtype'>&lt;U131</div><div class='xr-var-preview xr-preview'>&#x27;contains backscatter power (unc...</div><input id='attrs-af0053aa-7d29-418b-8dff-b2656e295b05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af0053aa-7d29-418b-8dff-b2656e295b05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4933b71-97cf-437e-bde2-d1acf3eb3457' class='xr-var-data-in' type='checkbox'><label for='data-a4933b71-97cf-437e-bde2-d1acf3eb3457' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Beam group description</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;contains backscatter power (uncalibrated) and other beam or channel-specific data, including split-beam angle data when they exist.&#x27;],\n",
-       "      dtype=&#x27;&lt;U131&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>waveform_encode_descr</span></div><div class='xr-var-dims'>(beam_group_index)</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;power&#x27;</div><input id='attrs-d275c67c-e4e6-4fee-b9d8-712a29ddfe3c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d275c67c-e4e6-4fee-b9d8-712a29ddfe3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c76ec697-4e6f-4907-9052-1284d3f125c3' class='xr-var-data-in' type='checkbox'><label for='data-c76ec697-4e6f-4907-9052-1284d3f125c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;power&#x27;], dtype=&#x27;&lt;U5&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-647bb8be-7502-4d7f-8bbd-40d49e0b8a4c' class='xr-section-summary-in' type='checkbox' checked /><label for='section-647bb8be-7502-4d7f-8bbd-40d49e0b8a4c' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>sonar_manufacturer :</span></dt><dd>Simrad</dd><dt><span>sonar_model :</span></dt><dd>EK80</dd><dt><span>sonar_serial_number :</span></dt><dd></dd><dt><span>sonar_software_name :</span></dt><dd>EK80</dd><dt><span>sonar_software_version :</span></dt><dd>21.15.2.0</dd><dt><span>sonar_type :</span></dt><dd>echosounder</dd></dl></div></li></ul></div></div><br></div>\n",
+       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam_group</span></div><div class='xr-var-dims'>(beam_group)</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;Beam_group1&#x27;</div><input id='attrs-9555ef29-b348-42c4-90b9-68432a9bbdf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9555ef29-b348-42c4-90b9-68432a9bbdf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00ea0bee-eea1-4614-b1de-69570db7031e' class='xr-var-data-in' type='checkbox'><label for='data-00ea0bee-eea1-4614-b1de-69570db7031e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Beam group name</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;Beam_group1&#x27;], dtype=&#x27;&lt;U11&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam_group_index</span></div><div class='xr-var-dims'>(beam_group_index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-c9983eb9-8d7c-4b7a-9801-a04bcabaf6ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9983eb9-8d7c-4b7a-9801-a04bcabaf6ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e187b4d0-6959-46d9-ae64-53e955f8fe5e' class='xr-var-data-in' type='checkbox'><label for='data-e187b4d0-6959-46d9-ae64-53e955f8fe5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-607d8c17-ecc0-42aa-8abc-2670aa6917ba' class='xr-section-summary-in' type='checkbox' checked /><label for='section-607d8c17-ecc0-42aa-8abc-2670aa6917ba' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel_all)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-90626d52-a69c-490c-9aca-1751c59f4c83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90626d52-a69c-490c-9aca-1751c59f4c83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-465599a5-d84b-4a44-bf29-18f9fb41a802' class='xr-var-data-in' type='checkbox'><label for='data-465599a5-d84b-4a44-bf29-18f9fb41a802' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transceiver_serial_number</span></div><div class='xr-var-dims'>(channel_all)</div><div class='xr-var-dtype'>&lt;U6</div><div class='xr-var-preview xr-preview'>&#x27;400140&#x27; &#x27;400141&#x27; ... &#x27;400145&#x27;</div><input id='attrs-8e3d87ac-7032-42a2-8396-24898c3065af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e3d87ac-7032-42a2-8396-24898c3065af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7eae35c-4ffc-4f24-8193-e3f2b54091ee' class='xr-var-data-in' type='checkbox'><label for='data-b7eae35c-4ffc-4f24-8193-e3f2b54091ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transceiver serial number</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;400140&#x27;, &#x27;400141&#x27;, &#x27;400142&#x27;, &#x27;400143&#x27;, &#x27;400145&#x27;], dtype=&#x27;&lt;U6&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_name</span></div><div class='xr-var-dims'>(channel_all)</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;ES18&#x27; &#x27;ES18&#x27; &#x27;ES18&#x27; &#x27;ES18&#x27; &#x27;ES18&#x27;</div><input id='attrs-0553018c-068a-4a79-b771-3753275f06d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0553018c-068a-4a79-b771-3753275f06d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c274d7a-b87f-45c7-a4c9-a225d3c1dadd' class='xr-var-data-in' type='checkbox'><label for='data-1c274d7a-b87f-45c7-a4c9-a225d3c1dadd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transducer name</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;ES18&#x27;, &#x27;ES18&#x27;, &#x27;ES18&#x27;, &#x27;ES18&#x27;, &#x27;ES18&#x27;], dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_serial_number</span></div><div class='xr-var-dims'>(channel_all)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;0&#x27; &#x27;0&#x27; &#x27;0&#x27; &#x27;0&#x27; &#x27;0&#x27;</div><input id='attrs-47619f97-1329-47d3-85de-0acc8006fa53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47619f97-1329-47d3-85de-0acc8006fa53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f42cc4f-1d27-4869-b5db-2c4ccdac2c3d' class='xr-var-data-in' type='checkbox'><label for='data-2f42cc4f-1d27-4869-b5db-2c4ccdac2c3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transducer serial number</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;0&#x27;, &#x27;0&#x27;, &#x27;0&#x27;, &#x27;0&#x27;, &#x27;0&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_group_descr</span></div><div class='xr-var-dims'>(beam_group)</div><div class='xr-var-dtype'>&lt;U131</div><div class='xr-var-preview xr-preview'>&#x27;contains backscatter power (unc...</div><input id='attrs-73794128-a352-4f1f-b8e0-37a0d8cbd1d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73794128-a352-4f1f-b8e0-37a0d8cbd1d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7304c987-b896-4307-b1c9-ebab9eb4dc53' class='xr-var-data-in' type='checkbox'><label for='data-7304c987-b896-4307-b1c9-ebab9eb4dc53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Beam group description</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;contains backscatter power (uncalibrated) and other beam or channel-specific data, including split-beam angle data when they exist.&#x27;],\n",
+       "      dtype=&#x27;&lt;U131&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>waveform_encode_descr</span></div><div class='xr-var-dims'>(beam_group_index)</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;power&#x27;</div><input id='attrs-e428f2de-9e79-42e3-bc56-c0fb2be58aee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e428f2de-9e79-42e3-bc56-c0fb2be58aee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd69f991-567c-4e9c-8665-6716e34b07d8' class='xr-var-data-in' type='checkbox'><label for='data-bd69f991-567c-4e9c-8665-6716e34b07d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;power&#x27;], dtype=&#x27;&lt;U5&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6bc8a29d-c716-44b2-aac4-fd559d74a0ae' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6bc8a29d-c716-44b2-aac4-fd559d74a0ae' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>sonar_manufacturer :</span></dt><dd>Simrad</dd><dt><span>sonar_model :</span></dt><dd>EK80</dd><dt><span>sonar_serial_number :</span></dt><dd></dd><dt><span>sonar_software_name :</span></dt><dd>EK80</dd><dt><span>sonar_software_version :</span></dt><dd>21.15.2.0</dd><dt><span>sonar_type :</span></dt><dd>echosounder</dd></dl></div></li></ul></div></div><br></div>\n",
        "                        </ul>\n",
        "                    </div>\n",
-       "                </li><ul><li class=\"xr-section-list\"><input id=\"idata_81164b548214dbd8ea642dc22cdcaf20\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-       "                    <label for=\"idata_81164b548214dbd8ea642dc22cdcaf20\" class=\"xr-section-summary\">Beam_group1: contains backscatter power (uncalibrated) and other beam or channel-specific data, including split-beam angle data when they exist.</label>\n",
+       "                </li><ul><li class=\"xr-section-list\"><input id=\"idata_1133a16944448ef41b0ec6c8276b2f82\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                    <label for=\"idata_1133a16944448ef41b0ec6c8276b2f82\" class=\"xr-section-summary\">Beam_group1: contains backscatter power (uncalibrated) and other beam or channel-specific data, including split-beam angle data when they exist.</label>\n",
        "                    <div class=\"xr-section-inline-details\"></div>\n",
        "                    <div class=\"xr-section-details\">\n",
        "                        <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
@@ -4232,12 +4317,12 @@
        "    sample_time_offset             (channel, ping_time) float64 9kB 0.0 ... 0.0\n",
        "Attributes:\n",
        "    beam_mode:              vertical\n",
-       "    conversion_equation_t:  type_3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-693bba21-90ca-41e7-b4f9-ceec661044fa' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-693bba21-90ca-41e7-b4f9-ceec661044fa' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>ping_time</span>: 213</li><li><span class='xr-has-index'>range_sample</span>: 36198</li><li><span class='xr-has-index'>transmit_sample</span>: 148</li><li><span class='xr-has-index'>channel_all</span>: 5</li><li><span class='xr-has-index'>beam_group_index</span>: 1</li><li><span class='xr-has-index'>beam_group</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-2b74f8c2-b15d-4fc6-b82c-263832df9693' class='xr-section-summary-in' type='checkbox' checked /><label for='section-2b74f8c2-b15d-4fc6-b82c-263832df9693' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U25</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-135763bb-5e17-49bc-acab-f156427c04ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-135763bb-5e17-49bc-acab-f156427c04ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1736a317-1f53-4e8a-861a-130599b778cf' class='xr-var-data-in' type='checkbox'><label for='data-1736a317-1f53-4e8a-861a-130599b778cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
+       "    conversion_equation_t:  type_3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7f6f2a9b-f735-428c-a46a-3c85751097b8' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-7f6f2a9b-f735-428c-a46a-3c85751097b8' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>ping_time</span>: 213</li><li><span class='xr-has-index'>range_sample</span>: 36198</li><li><span class='xr-has-index'>transmit_sample</span>: 148</li><li><span class='xr-has-index'>channel_all</span>: 5</li><li><span class='xr-has-index'>beam_group_index</span>: 1</li><li><span class='xr-has-index'>beam_group</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-0fc43f8d-c137-49b6-bed9-b4b49dba1d57' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0fc43f8d-c137-49b6-bed9-b4b49dba1d57' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U25</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-32bc7a19-6fdb-469c-8f06-1b83d3069c78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32bc7a19-6fdb-469c-8f06-1b83d3069c78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d7d097b-dc01-4f7b-975b-8e83230cdb2f' class='xr-var-data-in' type='checkbox'><label for='data-6d7d097b-dc01-4f7b-975b-8e83230cdb2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
        "       &#x27;WBT 400142-15 ES70-7C_ES&#x27;, &#x27;WBT 400143-15 ES38B_ES&#x27;,\n",
-       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ping_time</span></div><div class='xr-var-dims'>(ping_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-7bf655da-9e3f-4431-9606-6e0ec1090d61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bf655da-9e3f-4431-9606-6e0ec1090d61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e288348-bd16-46eb-87cf-f070217c29e2' class='xr-var-data-in' type='checkbox'><label for='data-4e288348-bd16-46eb-87cf-f070217c29e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Timestamp of each ping</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:30.276106000&#x27;,\n",
+       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ping_time</span></div><div class='xr-var-dims'>(ping_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-455fc5c5-f9ca-4707-8988-87c1a9e3570b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-455fc5c5-f9ca-4707-8988-87c1a9e3570b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f40ed541-8875-427e-845d-98f9e1268848' class='xr-var-data-in' type='checkbox'><label for='data-f40ed541-8875-427e-845d-98f9e1268848' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Timestamp of each ping</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:30.276106000&#x27;,\n",
        "       &#x27;2023-08-11T16:57:33.288034000&#x27;, ..., &#x27;2023-08-11T17:05:25.278637000&#x27;,\n",
        "       &#x27;2023-08-11T17:05:27.281294000&#x27;, &#x27;2023-08-11T17:05:29.279934000&#x27;],\n",
-       "      shape=(213,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_sample</span></div><div class='xr-var-dims'>(range_sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 36194 36195 36196 36197</div><input id='attrs-8430af34-5be4-4155-9b6d-073a8695384e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8430af34-5be4-4155-9b6d-073a8695384e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31092812-6f16-4750-b104-a9cc75483bdd' class='xr-var-data-in' type='checkbox'><label for='data-31092812-6f16-4750-b104-a9cc75483bdd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Along-range sample number, base 0</dd></dl></div><div class='xr-var-data'><pre>array([    0,     1,     2, ..., 36195, 36196, 36197], shape=(36198,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>transmit_sample</span></div><div class='xr-var-dims'>(transmit_sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 143 144 145 146 147</div><input id='attrs-55932991-fff8-498e-b9cd-6896d0e75b70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55932991-fff8-498e-b9cd-6896d0e75b70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef4b7d9b-910e-488e-b588-626c313b7627' class='xr-var-data-in' type='checkbox'><label for='data-ef4b7d9b-910e-488e-b588-626c313b7627' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transmit pulse sample number, base 0</dd><dt><span>comment :</span></dt><dd>Only exist for Simrad EK80 file with RAW4 datagrams</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
+       "      shape=(213,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_sample</span></div><div class='xr-var-dims'>(range_sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 36194 36195 36196 36197</div><input id='attrs-ebe0b5ab-3c8d-4ac8-a7e1-801464eac85a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebe0b5ab-3c8d-4ac8-a7e1-801464eac85a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c40fbe8-0791-40c6-aaab-f96e1fd0cff9' class='xr-var-data-in' type='checkbox'><label for='data-9c40fbe8-0791-40c6-aaab-f96e1fd0cff9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Along-range sample number, base 0</dd></dl></div><div class='xr-var-data'><pre>array([    0,     1,     2, ..., 36195, 36196, 36197], shape=(36198,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>transmit_sample</span></div><div class='xr-var-dims'>(transmit_sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 143 144 145 146 147</div><input id='attrs-dfaf7ba6-d62b-4814-8034-0333b15f091a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfaf7ba6-d62b-4814-8034-0333b15f091a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9ff4915-9bb1-4524-b69b-fa83197d7b73' class='xr-var-data-in' type='checkbox'><label for='data-f9ff4915-9bb1-4524-b69b-fa83197d7b73' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transmit pulse sample number, base 0</dd><dt><span>comment :</span></dt><dd>Only exist for Simrad EK80 file with RAW4 datagrams</dd></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
        "        14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,  27,\n",
        "        28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,  40,  41,\n",
        "        42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,  53,  54,  55,\n",
@@ -4247,9 +4332,9 @@
        "        98,  99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,\n",
        "       112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,\n",
        "       126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,\n",
-       "       140, 141, 142, 143, 144, 145, 146, 147])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel_all</span></div><div class='xr-var-dims'>(channel_all)</div><div class='xr-var-dtype'>&lt;U25</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-5bfc9173-43a7-45ad-972d-99ccd7861af6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bfc9173-43a7-45ad-972d-99ccd7861af6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0796fbab-5eeb-4d50-a138-19522b85b6aa' class='xr-var-data-in' type='checkbox'><label for='data-0796fbab-5eeb-4d50-a138-19522b85b6aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
+       "       140, 141, 142, 143, 144, 145, 146, 147])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel_all</span></div><div class='xr-var-dims'>(channel_all)</div><div class='xr-var-dtype'>&lt;U25</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-47f40dc1-64b7-4a65-bf6e-dd9afb5b8bda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47f40dc1-64b7-4a65-bf6e-dd9afb5b8bda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82f2df73-fc17-46bd-a7eb-80b04526bac6' class='xr-var-data-in' type='checkbox'><label for='data-82f2df73-fc17-46bd-a7eb-80b04526bac6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
        "       &#x27;WBT 400142-15 ES70-7C_ES&#x27;, &#x27;WBT 400143-15 ES38B_ES&#x27;,\n",
-       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam_group_index</span></div><div class='xr-var-dims'>(beam_group_index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-4b80ecaa-6fc5-4493-afb7-723523601e75' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b80ecaa-6fc5-4493-afb7-723523601e75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fc26149-21d2-4cb4-97ae-89656b3dfb44' class='xr-var-data-in' type='checkbox'><label for='data-3fc26149-21d2-4cb4-97ae-89656b3dfb44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam_group</span></div><div class='xr-var-dims'>(beam_group)</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;Beam_group1&#x27;</div><input id='attrs-f169457b-785f-49c2-86eb-c5c1463285d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f169457b-785f-49c2-86eb-c5c1463285d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f45dc995-a9e6-42d8-9190-6eb446210eed' class='xr-var-data-in' type='checkbox'><label for='data-f45dc995-a9e6-42d8-9190-6eb446210eed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Beam group name</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;Beam_group1&#x27;], dtype=&#x27;&lt;U11&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f134fdac-ccb2-4e83-a89b-80514d9cf232' class='xr-section-summary-in' type='checkbox' /><label for='section-f134fdac-ccb2-4e83-a89b-80514d9cf232' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-2a52235c-b212-4d96-b4c7-d5f617dc05fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a52235c-b212-4d96-b4c7-d5f617dc05fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fc2bcec-871a-465f-801e-692c02b2d914' class='xr-var-data-in' type='checkbox'><label for='data-2fc2bcec-871a-465f-801e-692c02b2d914' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_type</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 1 1</div><input id='attrs-62a57390-6fcc-4265-a140-05b617031f50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62a57390-6fcc-4265-a140-05b617031f50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc3af108-355e-42b2-8ad6-a3baf7bb7504' class='xr-var-data-in' type='checkbox'><label for='data-fc3af108-355e-42b2-8ad6-a3baf7bb7504' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>type of transducer (0-single, 1-split)</dd></dl></div><div class='xr-var-data'><pre>array([1, 1, 1, 1, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_twoway_alongship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.63 10.92 6.55 6.71 6.79</div><input id='attrs-5c8d4f59-2fba-420d-a3a2-294ef3e05b14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c8d4f59-2fba-420d-a3a2-294ef3e05b14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cc81fdf-e078-4259-af45-b7fb7a6e0b76' class='xr-var-data-in' type='checkbox'><label for='data-5cc81fdf-e078-4259-af45-b7fb7a6e0b76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Half power two-way beam width along alongship axis of beam</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(0.0, 360.0)</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders to avoid potential confusion with convention definitions. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. The convention defines one-way transmit or receive beamwidth (beamwidth_receive_minor and beamwidth_transmit_minor), but Simrad echosounders record two-way beamwidth in the data.</dd></dl></div><div class='xr-var-data'><pre>array([ 6.63, 10.92,  6.55,  6.71,  6.79])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_twoway_athwartship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.74 10.6 6.61 6.81 6.07</div><input id='attrs-e3ddee43-e8b7-4ab8-9130-e13678cfc270' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3ddee43-e8b7-4ab8-9130-e13678cfc270' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2c7d116-141d-47b1-a209-58738ff66146' class='xr-var-data-in' type='checkbox'><label for='data-e2c7d116-141d-47b1-a209-58738ff66146' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Half power two-way beam width along athwartship axis of beam</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(0.0, 360.0)</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders to avoid potential confusion with convention definitions. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. The convention defines one-way transmit or receive beamwidth (beamwidth_receive_major and beamwidth_transmit_major), but Simrad echosounders record two-way beamwidth in the data.</dd></dl></div><div class='xr-var-data'><pre>array([ 6.74, 10.6 ,  6.61,  6.81,  6.07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_direction_x</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan nan</div><input id='attrs-2cd7f959-d2db-4bf2-a173-620e32559567' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cd7f959-d2db-4bf2-a173-620e32559567' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3e4c0b8-30d8-4ce4-bb66-59aa817746ba' class='xr-var-data-in' type='checkbox'><label for='data-a3e4c0b8-30d8-4ce4-bb66-59aa817746ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x-component of the vector that gives the pointing direction of the beam, in sonar beam coordinate system</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_range :</span></dt><dd>(-1.0, 1.0)</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_direction_y</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan nan</div><input id='attrs-a6e3570e-bacb-4900-bfe7-42d298663909' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6e3570e-bacb-4900-bfe7-42d298663909' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5eff59e1-e5be-4759-8a23-402358bb989f' class='xr-var-data-in' type='checkbox'><label for='data-5eff59e1-e5be-4759-8a23-402358bb989f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y-component of the vector that gives the pointing direction of the beam, in sonar beam coordinate system</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_range :</span></dt><dd>(-1.0, 1.0)</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_direction_z</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan nan</div><input id='attrs-28efaad3-5eb1-4a78-8c26-da964bc2c54c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28efaad3-5eb1-4a78-8c26-da964bc2c54c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e7e84c1-995a-408f-9610-b840725ea103' class='xr-var-data-in' type='checkbox'><label for='data-2e7e84c1-995a-408f-9610-b840725ea103' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z-component of the vector that gives the pointing direction of the beam, in sonar beam coordinate system</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_range :</span></dt><dd>(-1.0, 1.0)</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_alongship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.04 -0.11 -0.02 -0.2 -0.07</div><input id='attrs-e742ff6c-a2ce-47d8-ad3c-a302102b080c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e742ff6c-a2ce-47d8-ad3c-a302102b080c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbbbe4fe-72ef-4292-9b5c-165043b96a25' class='xr-var-data-in' type='checkbox'><label for='data-cbbbe4fe-72ef-4292-9b5c-165043b96a25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>electrical alongship angle offset of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([-0.04, -0.11, -0.02, -0.2 , -0.07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_athwartship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.17 -0.05 0.0 -0.17 0.25</div><input id='attrs-4a2e3d8c-4333-4342-bfa0-dfda0327cb62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a2e3d8c-4333-4342-bfa0-dfda0327cb62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-755a52b5-22c5-47f7-923a-ccdbb42ddec3' class='xr-var-data-in' type='checkbox'><label for='data-755a52b5-22c5-47f7-923a-ccdbb42ddec3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>electrical athwartship angle offset of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([ 0.17, -0.05,  0.  , -0.17,  0.25])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_sensitivity_alongship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.0 15.5 23.0 23.0 23.0</div><input id='attrs-0077d45d-b44d-46b8-b510-39b3ec7887e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0077d45d-b44d-46b8-b510-39b3ec7887e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3859ef7-ef88-40bf-858f-5a587c2f6206' class='xr-var-data-in' type='checkbox'><label for='data-e3859ef7-ef88-40bf-858f-5a587c2f6206' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>alongship angle sensitivity of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([23. , 15.5, 23. , 23. , 23. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_sensitivity_athwartship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.0 15.5 23.0 23.0 23.0</div><input id='attrs-df4cd2d2-9b52-44af-ab15-25034f22b0db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df4cd2d2-9b52-44af-ab15-25034f22b0db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9da2b9e-a164-49b9-8e5c-3197d3ef3b93' class='xr-var-data-in' type='checkbox'><label for='data-c9da2b9e-a164-49b9-8e5c-3197d3ef3b93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>athwartship angle sensitivity of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([23. , 15.5, 23. , 23. , 23. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>equivalent_beam_angle</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-20.7 -17.0 -20.7 -20.7 -20.7</div><input id='attrs-e7750d21-e158-42fa-bfa8-2e510cd63ca9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7750d21-e158-42fa-bfa8-2e510cd63ca9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cf68f86-40cd-4c0a-b4d8-d26b4cee3c31' class='xr-var-data-in' type='checkbox'><label for='data-8cf68f86-40cd-4c0a-b4d8-d26b4cee3c31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Equivalent beam angle</dd><dt><span>units :</span></dt><dd>sr</dd><dt><span>valid_range :</span></dt><dd>(0.0, 12.566370614359172)</dd></dl></div><div class='xr-var-data'><pre>array([-20.7, -17. , -20.7, -20.7, -20.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transceiver_software_version</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;2.54&#x27; &#x27;2.54&#x27; &#x27;2.54&#x27; &#x27;2.54&#x27; &#x27;2.54&#x27;</div><input id='attrs-4e6ff8ad-e2bb-4168-838f-7f161499cb46' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4e6ff8ad-e2bb-4168-838f-7f161499cb46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1074af9f-3ba1-46c0-8297-7ba96d46dd19' class='xr-var-data-in' type='checkbox'><label for='data-1074af9f-3ba1-46c0-8297-7ba96d46dd19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2.54&#x27;, &#x27;2.54&#x27;, &#x27;2.54&#x27;, &#x27;2.54&#x27;, &#x27;2.54&#x27;], dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_stabilisation</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-34e3bf7f-6acd-41da-b851-4c3b3d00c845' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34e3bf7f-6acd-41da-b851-4c3b3d00c845' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60b90424-b2b8-4d4a-a68d-f22563688c2b' class='xr-var-data-in' type='checkbox'><label for='data-60b90424-b2b8-4d4a-a68d-f22563688c2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Beam stabilisation applied (or not)</dd><dt><span>flag_values :</span></dt><dd>[0, 1]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;not stabilised&#x27;, &#x27;stabilised&#x27;]</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>non_quantitative_processing</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-37c19e61-4f22-4fed-a057-ca78d79379aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37c19e61-4f22-4fed-a057-ca78d79379aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6c0042b-5070-4d25-9035-d3f33f0c0d0d' class='xr-var-data-in' type='checkbox'><label for='data-c6c0042b-5070-4d25-9035-d3f33f0c0d0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Presence or not of non-quantitative processing applied to the backscattering data (sonar specific)</dd><dt><span>flag_values :</span></dt><dd>[0]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;None&#x27;]</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_frequency_start</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-b2f9ea9d-b283-405e-a1c0-951859115032' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2f9ea9d-b283-405e-a1c0-951859115032' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88b6a59d-0115-409b-95d9-767fc6a2cc24' class='xr-var-data-in' type='checkbox'><label for='data-88b6a59d-0115-409b-95d9-767fc6a2cc24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Start frequency in transmitted pulse</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_frequency_stop</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-9842d76b-0fa2-4518-be78-2dcf02cb9ac2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9842d76b-0fa2-4518-be78-2dcf02cb9ac2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7458ad3d-a7bd-45ec-97ba-663bb1a01f2c' class='xr-var-data-in' type='checkbox'><label for='data-7458ad3d-a7bd-45ec-97ba-663bb1a01f2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Stop frequency in transmitted pulse</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>backscatter_r</span></div><div class='xr-var-dims'>(channel, ping_time, range_sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.38 13.88 16.02 ... nan nan nan</div><input id='attrs-16f5c6a0-fb9a-4667-a3d1-16e140ae116c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16f5c6a0-fb9a-4667-a3d1-16e140ae116c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca8ca187-babe-4786-bfe5-f3990498ed1b' class='xr-var-data-in' type='checkbox'><label for='data-ca8ca187-babe-4786-bfe5-f3990498ed1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Raw backscatter measurements (real part)</dd><dt><span>units :</span></dt><dd>dB</dd></dl></div><div class='xr-var-data'><pre>array([[[  10.38318305,   13.87560136,   16.01573649, ...,\n",
+       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam_group_index</span></div><div class='xr-var-dims'>(beam_group_index)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-231efc2c-fba7-462d-ac4d-fd8102bc2313' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-231efc2c-fba7-462d-ac4d-fd8102bc2313' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6bc2e29-29bf-4e70-bc33-a88939b1c2e7' class='xr-var-data-in' type='checkbox'><label for='data-d6bc2e29-29bf-4e70-bc33-a88939b1c2e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam_group</span></div><div class='xr-var-dims'>(beam_group)</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;Beam_group1&#x27;</div><input id='attrs-6cd28876-4c86-4716-a631-978ed75212a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cd28876-4c86-4716-a631-978ed75212a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1fab5fe-2893-49fc-851d-85bd7b3e0476' class='xr-var-data-in' type='checkbox'><label for='data-e1fab5fe-2893-49fc-851d-85bd7b3e0476' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Beam group name</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;Beam_group1&#x27;], dtype=&#x27;&lt;U11&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e9af61d-67ae-4395-9960-59a9e95e4a38' class='xr-section-summary-in' type='checkbox' /><label for='section-0e9af61d-67ae-4395-9960-59a9e95e4a38' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-178dba64-c0ce-4097-ba30-83aba5aefdae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-178dba64-c0ce-4097-ba30-83aba5aefdae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e5b81cc-30f6-4995-a3be-ec07b77c2354' class='xr-var-data-in' type='checkbox'><label for='data-1e5b81cc-30f6-4995-a3be-ec07b77c2354' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_type</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 1 1</div><input id='attrs-3f224007-1498-4da8-989a-df88e661e01f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f224007-1498-4da8-989a-df88e661e01f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8c4c365-c143-4a0f-9847-26ce1fee622e' class='xr-var-data-in' type='checkbox'><label for='data-e8c4c365-c143-4a0f-9847-26ce1fee622e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>type of transducer (0-single, 1-split)</dd></dl></div><div class='xr-var-data'><pre>array([1, 1, 1, 1, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_twoway_alongship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.63 10.92 6.55 6.71 6.79</div><input id='attrs-d7026b48-dc00-45e9-993d-0f886644114d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7026b48-dc00-45e9-993d-0f886644114d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-937eddf6-aed9-4d4c-bca3-632a0917b8df' class='xr-var-data-in' type='checkbox'><label for='data-937eddf6-aed9-4d4c-bca3-632a0917b8df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Half power two-way beam width along alongship axis of beam</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(0.0, 360.0)</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders to avoid potential confusion with convention definitions. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. The convention defines one-way transmit or receive beamwidth (beamwidth_receive_minor and beamwidth_transmit_minor), but Simrad echosounders record two-way beamwidth in the data.</dd></dl></div><div class='xr-var-data'><pre>array([ 6.63, 10.92,  6.55,  6.71,  6.79])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_twoway_athwartship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.74 10.6 6.61 6.81 6.07</div><input id='attrs-5f9d329b-d0cd-482b-8fea-cdd25451c1a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f9d329b-d0cd-482b-8fea-cdd25451c1a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-046fbd8b-fe21-4e02-8f87-f74b2e74d694' class='xr-var-data-in' type='checkbox'><label for='data-046fbd8b-fe21-4e02-8f87-f74b2e74d694' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Half power two-way beam width along athwartship axis of beam</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(0.0, 360.0)</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders to avoid potential confusion with convention definitions. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. The convention defines one-way transmit or receive beamwidth (beamwidth_receive_major and beamwidth_transmit_major), but Simrad echosounders record two-way beamwidth in the data.</dd></dl></div><div class='xr-var-data'><pre>array([ 6.74, 10.6 ,  6.61,  6.81,  6.07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_direction_x</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan nan</div><input id='attrs-5089847a-1b0b-4a88-b47c-00bc539f292e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5089847a-1b0b-4a88-b47c-00bc539f292e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-498e9570-20db-4eaf-a403-a1835d34d2a5' class='xr-var-data-in' type='checkbox'><label for='data-498e9570-20db-4eaf-a403-a1835d34d2a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x-component of the vector that gives the pointing direction of the beam, in sonar beam coordinate system</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_range :</span></dt><dd>(-1.0, 1.0)</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_direction_y</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan nan</div><input id='attrs-01fbf00c-e0ad-4d30-8c50-17ade0c093d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01fbf00c-e0ad-4d30-8c50-17ade0c093d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c5386bd-0c0f-44fa-89dd-af26fc5e60bf' class='xr-var-data-in' type='checkbox'><label for='data-1c5386bd-0c0f-44fa-89dd-af26fc5e60bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y-component of the vector that gives the pointing direction of the beam, in sonar beam coordinate system</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_range :</span></dt><dd>(-1.0, 1.0)</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_direction_z</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan nan</div><input id='attrs-dd1d8611-6661-4e45-b8b0-4d259c5e23f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd1d8611-6661-4e45-b8b0-4d259c5e23f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da0286e3-78fc-4b21-99c8-a512e1879a7b' class='xr-var-data-in' type='checkbox'><label for='data-da0286e3-78fc-4b21-99c8-a512e1879a7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z-component of the vector that gives the pointing direction of the beam, in sonar beam coordinate system</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_range :</span></dt><dd>(-1.0, 1.0)</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_alongship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.04 -0.11 -0.02 -0.2 -0.07</div><input id='attrs-42885b1e-3fd6-47ef-8188-ef501c359049' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42885b1e-3fd6-47ef-8188-ef501c359049' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69adaae8-62f8-4810-b6b8-b1819dea1bf4' class='xr-var-data-in' type='checkbox'><label for='data-69adaae8-62f8-4810-b6b8-b1819dea1bf4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>electrical alongship angle offset of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([-0.04, -0.11, -0.02, -0.2 , -0.07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_athwartship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.17 -0.05 0.0 -0.17 0.25</div><input id='attrs-7920585c-bc25-4c9b-b510-ef94455c8eac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7920585c-bc25-4c9b-b510-ef94455c8eac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec4c6c3d-bc80-4473-977f-e9503988439c' class='xr-var-data-in' type='checkbox'><label for='data-ec4c6c3d-bc80-4473-977f-e9503988439c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>electrical athwartship angle offset of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([ 0.17, -0.05,  0.  , -0.17,  0.25])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_sensitivity_alongship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.0 15.5 23.0 23.0 23.0</div><input id='attrs-14c97021-8e4b-4661-9a36-7601d1be3c00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14c97021-8e4b-4661-9a36-7601d1be3c00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a807644d-8ec5-457e-bb14-c382f87fa774' class='xr-var-data-in' type='checkbox'><label for='data-a807644d-8ec5-457e-bb14-c382f87fa774' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>alongship angle sensitivity of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([23. , 15.5, 23. , 23. , 23. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_sensitivity_athwartship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.0 15.5 23.0 23.0 23.0</div><input id='attrs-fd5d4bee-d110-4964-b214-d9d976c0cd5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd5d4bee-d110-4964-b214-d9d976c0cd5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-386fac88-6b49-4650-a454-f934d03318e5' class='xr-var-data-in' type='checkbox'><label for='data-386fac88-6b49-4650-a454-f934d03318e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>athwartship angle sensitivity of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([23. , 15.5, 23. , 23. , 23. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>equivalent_beam_angle</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-20.7 -17.0 -20.7 -20.7 -20.7</div><input id='attrs-5c12f9b2-0939-4f68-8430-1234244d161f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c12f9b2-0939-4f68-8430-1234244d161f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed9f70de-1f05-4d38-a56d-aaa662e76e89' class='xr-var-data-in' type='checkbox'><label for='data-ed9f70de-1f05-4d38-a56d-aaa662e76e89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Equivalent beam angle</dd><dt><span>units :</span></dt><dd>sr</dd><dt><span>valid_range :</span></dt><dd>(0.0, 12.566370614359172)</dd></dl></div><div class='xr-var-data'><pre>array([-20.7, -17. , -20.7, -20.7, -20.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transceiver_software_version</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U4</div><div class='xr-var-preview xr-preview'>&#x27;2.54&#x27; &#x27;2.54&#x27; &#x27;2.54&#x27; &#x27;2.54&#x27; &#x27;2.54&#x27;</div><input id='attrs-c2c44dee-9d4b-4800-9ea1-18df885af7dd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c2c44dee-9d4b-4800-9ea1-18df885af7dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75adfcb2-835b-4ecb-90af-eb669d9608f4' class='xr-var-data-in' type='checkbox'><label for='data-75adfcb2-835b-4ecb-90af-eb669d9608f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2.54&#x27;, &#x27;2.54&#x27;, &#x27;2.54&#x27;, &#x27;2.54&#x27;, &#x27;2.54&#x27;], dtype=&#x27;&lt;U4&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beam_stabilisation</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-50fb4450-52ad-4567-8c8a-b81b5e378a3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50fb4450-52ad-4567-8c8a-b81b5e378a3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00ac2ce0-7849-49c5-88fc-6c9b1beee588' class='xr-var-data-in' type='checkbox'><label for='data-00ac2ce0-7849-49c5-88fc-6c9b1beee588' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Beam stabilisation applied (or not)</dd><dt><span>flag_values :</span></dt><dd>[0, 1]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;not stabilised&#x27;, &#x27;stabilised&#x27;]</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>non_quantitative_processing</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-cb0c39ca-030b-4c61-9744-d8e69f63f6d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb0c39ca-030b-4c61-9744-d8e69f63f6d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba2f0721-1dd9-4928-a108-a5dca212898f' class='xr-var-data-in' type='checkbox'><label for='data-ba2f0721-1dd9-4928-a108-a5dca212898f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Presence or not of non-quantitative processing applied to the backscattering data (sonar specific)</dd><dt><span>flag_values :</span></dt><dd>[0]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;None&#x27;]</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_frequency_start</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-ee5795f8-6357-4ce7-a980-c7bf0fc4161b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee5795f8-6357-4ce7-a980-c7bf0fc4161b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c70495f1-5904-4241-baa9-acbcec417694' class='xr-var-data-in' type='checkbox'><label for='data-c70495f1-5904-4241-baa9-acbcec417694' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Start frequency in transmitted pulse</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_frequency_stop</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-8ba37bb3-7214-4e70-a56c-88c2410b63be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ba37bb3-7214-4e70-a56c-88c2410b63be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0240768c-9112-48b0-b546-dab82813c33c' class='xr-var-data-in' type='checkbox'><label for='data-0240768c-9112-48b0-b546-dab82813c33c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Stop frequency in transmitted pulse</dd><dt><span>units :</span></dt><dd>Hz</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>backscatter_r</span></div><div class='xr-var-dims'>(channel, ping_time, range_sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.38 13.88 16.02 ... nan nan nan</div><input id='attrs-92d04359-6982-4a53-8659-f7f816e4f5b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92d04359-6982-4a53-8659-f7f816e4f5b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61888917-35d9-4e17-8a5f-c7b94832799a' class='xr-var-data-in' type='checkbox'><label for='data-61888917-35d9-4e17-8a5f-c7b94832799a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Raw backscatter measurements (real part)</dd><dt><span>units :</span></dt><dd>dB</dd></dl></div><div class='xr-var-data'><pre>array([[[  10.38318305,   13.87560136,   16.01573649, ...,\n",
        "                   nan,           nan,           nan],\n",
        "        [  10.43021899,   13.91087832,   16.05101344, ...,\n",
        "                   nan,           nan,           nan],\n",
@@ -4289,7 +4374,7 @@
        "                   nan,           nan,           nan],\n",
        "        [   6.30281553,    9.07793581,   10.97113226, ...,\n",
        "                   nan,           nan,           nan]]],\n",
-       "      shape=(5, 213, 36198))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_pulse_r</span></div><div class='xr-var-dims'>(channel, ping_time, transmit_sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>30.66 30.91 33.56 ... nan nan nan</div><input id='attrs-6d9c7033-7adf-4117-a15f-0083d6f4c4ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d9c7033-7adf-4117-a15f-0083d6f4c4ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81fb5e96-e2fc-441f-9742-599a96fc2a93' class='xr-var-data-in' type='checkbox'><label for='data-81fb5e96-e2fc-441f-9742-599a96fc2a93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Real part of the transmit pulse</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>comment :</span></dt><dd>Only exist for Simrad EK80 file with RAW4 datagrams</dd></dl></div><div class='xr-var-data'><pre>array([[[ 30.65556717,  30.90556717,  33.56114578, ...,          nan,\n",
+       "      shape=(5, 213, 36198))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_pulse_r</span></div><div class='xr-var-dims'>(channel, ping_time, transmit_sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>30.66 30.91 33.56 ... nan nan nan</div><input id='attrs-0848c70b-681d-4399-829c-4685b12315ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0848c70b-681d-4399-829c-4685b12315ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9355c44e-23bd-4f4e-94ca-882010b91cb0' class='xr-var-data-in' type='checkbox'><label for='data-9355c44e-23bd-4f4e-94ca-882010b91cb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Real part of the transmit pulse</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>comment :</span></dt><dd>Only exist for Simrad EK80 file with RAW4 datagrams</dd></dl></div><div class='xr-var-data'><pre>array([[[ 30.65556717,  30.90556717,  33.56114578, ...,          nan,\n",
        "                  nan,          nan],\n",
        "        [ 34.56123352,  34.81124496,  37.56124878, ...,          nan,\n",
        "                  nan,          nan],\n",
@@ -4329,7 +4414,7 @@
        "        [ -5.96051025,  -5.17925501,  -5.89802504, ...,          nan,\n",
        "                  nan,          nan],\n",
        "        [-21.96796036, -21.09298134, -22.46796227, ...,          nan,\n",
-       "                  nan,          nan]]], shape=(5, 213, 148))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_pulse_i</span></div><div class='xr-var-dims'>(channel, ping_time, transmit_sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-23.34 -23.22 -26.34 ... nan nan</div><input id='attrs-d5084801-8254-4026-b6d7-09477bd08cec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5084801-8254-4026-b6d7-09477bd08cec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60a30fbd-ae16-4b15-825b-0f1b45643bc1' class='xr-var-data-in' type='checkbox'><label for='data-60a30fbd-ae16-4b15-825b-0f1b45643bc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Imaginary part of the transmit pulse</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>comment :</span></dt><dd>Only exist for Simrad EK80 file with RAW4 datagrams</dd></dl></div><div class='xr-var-data'><pre>array([[[-23.34309959, -23.21811867, -26.34310722, ...,          nan,\n",
+       "                  nan,          nan]]], shape=(5, 213, 148))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_pulse_i</span></div><div class='xr-var-dims'>(channel, ping_time, transmit_sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-23.34 -23.22 -26.34 ... nan nan</div><input id='attrs-3fa4670f-1795-4d1c-95eb-61bcc856ca9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fa4670f-1795-4d1c-95eb-61bcc856ca9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c501bc0-1a34-4e05-8c9d-fa7ed8e725c1' class='xr-var-data-in' type='checkbox'><label for='data-5c501bc0-1a34-4e05-8c9d-fa7ed8e725c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Imaginary part of the transmit pulse</dd><dt><span>units :</span></dt><dd>V</dd><dt><span>comment :</span></dt><dd>Only exist for Simrad EK80 file with RAW4 datagrams</dd></dl></div><div class='xr-var-data'><pre>array([[[-23.34309959, -23.21811867, -26.34310722, ...,          nan,\n",
        "                  nan,          nan],\n",
        "        [-17.84304619, -17.46806526, -20.46805382, ...,          nan,\n",
        "                  nan,          nan],\n",
@@ -4369,7 +4454,7 @@
        "        [ 23.90554619,  23.40556145,  24.65554619, ...,          nan,\n",
        "                  nan,          nan],\n",
        "        [ 11.70268917,  11.95269871,  12.26518536, ...,          nan,\n",
-       "                  nan,          nan]]], shape=(5, 213, 148))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_athwartship</span></div><div class='xr-var-dims'>(channel, ping_time, range_sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-0ec1c002-03c5-4e9c-af2a-6edd4337b372' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ec1c002-03c5-4e9c-af2a-6edd4337b372' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-389d125e-9a49-4fae-a57b-0ff367be9a6f' class='xr-var-data-in' type='checkbox'><label for='data-389d125e-9a49-4fae-a57b-0ff367be9a6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>electrical athwartship angle</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([[[  0.,   0.,   0., ...,  nan,  nan,  nan],\n",
+       "                  nan,          nan]]], shape=(5, 213, 148))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_athwartship</span></div><div class='xr-var-dims'>(channel, ping_time, range_sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... nan nan nan nan</div><input id='attrs-350171b9-ca42-4b81-a8a6-db946bde5d7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-350171b9-ca42-4b81-a8a6-db946bde5d7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2048af7a-7520-4b89-9ed6-e53bde979f99' class='xr-var-data-in' type='checkbox'><label for='data-2048af7a-7520-4b89-9ed6-e53bde979f99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>electrical athwartship angle</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([[[  0.,   0.,   0., ...,  nan,  nan,  nan],\n",
        "        [  0.,   0.,   0., ...,  nan,  nan,  nan],\n",
        "        [  0.,   0.,   0., ...,  nan,  nan,  nan],\n",
        "        ...,\n",
@@ -4408,7 +4493,7 @@
        "        [  0.,   0.,   0., ...,  nan,  nan,  nan],\n",
        "        [  0.,   0.,   0., ...,  nan,  nan,  nan],\n",
        "        [  0.,   0.,   0., ...,  nan,  nan,  nan]]],\n",
-       "      shape=(5, 213, 36198), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_alongship</span></div><div class='xr-var-dims'>(channel, ping_time, range_sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.0 -1.0 -1.0 -1.0 ... nan nan nan</div><input id='attrs-2272494c-0d07-4053-8c81-7a78a949fcb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2272494c-0d07-4053-8c81-7a78a949fcb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24cd9104-5983-4499-ae89-170cae8449df' class='xr-var-data-in' type='checkbox'><label for='data-24cd9104-5983-4499-ae89-170cae8449df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>electrical alongship angle</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([[[ -1.,  -1.,  -1., ...,  nan,  nan,  nan],\n",
+       "      shape=(5, 213, 36198), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_alongship</span></div><div class='xr-var-dims'>(channel, ping_time, range_sample)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.0 -1.0 -1.0 -1.0 ... nan nan nan</div><input id='attrs-9fa78004-80ff-4192-9920-c99142c47cac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fa78004-80ff-4192-9920-c99142c47cac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fb1e635-0545-48d1-b8a0-a3c96d96eb2c' class='xr-var-data-in' type='checkbox'><label for='data-6fb1e635-0545-48d1-b8a0-a3c96d96eb2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>electrical alongship angle</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([[[ -1.,  -1.,  -1., ...,  nan,  nan,  nan],\n",
        "        [ -1.,  -1.,  -1., ...,  nan,  nan,  nan],\n",
        "        [ -1.,  -1.,  -1., ...,  nan,  nan,  nan],\n",
        "        ...,\n",
@@ -4447,21 +4532,21 @@
        "        [  0.,   0.,  -1., ...,  nan,  nan,  nan],\n",
        "        [ -1.,   0.,  -1., ...,  nan,  nan,  nan],\n",
        "        [  0.,   0.,  -1., ...,  nan,  nan,  nan]]],\n",
-       "      shape=(5, 213, 36198), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sample_interval</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4e-05 4e-05 ... 3.2e-05 3.2e-05</div><input id='attrs-2fca900b-7d5e-473d-a00a-d70f4fdac0be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fca900b-7d5e-473d-a00a-d70f4fdac0be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d7a71d4-19db-40b5-821c-fdf1c72b0089' class='xr-var-data-in' type='checkbox'><label for='data-6d7a71d4-19db-40b5-821c-fdf1c72b0089' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Interval between recorded raw data samples</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[4.0e-05, 4.0e-05, 4.0e-05, ..., 4.0e-05, 4.0e-05, 4.0e-05],\n",
+       "      shape=(5, 213, 36198), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sample_interval</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4e-05 4e-05 ... 3.2e-05 3.2e-05</div><input id='attrs-760e3562-f1cf-4dc1-8f1a-967a867e8243' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-760e3562-f1cf-4dc1-8f1a-967a867e8243' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f34d9f8-6094-461a-b5b7-cf6ba510fd6f' class='xr-var-data-in' type='checkbox'><label for='data-8f34d9f8-6094-461a-b5b7-cf6ba510fd6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Interval between recorded raw data samples</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[4.0e-05, 4.0e-05, 4.0e-05, ..., 4.0e-05, 4.0e-05, 4.0e-05],\n",
        "       [2.8e-05, 2.8e-05, 2.8e-05, ..., 2.8e-05, 2.8e-05, 2.8e-05],\n",
        "       [4.8e-05, 4.8e-05, 4.8e-05, ..., 4.8e-05, 4.8e-05, 4.8e-05],\n",
        "       [4.0e-05, 4.0e-05, 4.0e-05, ..., 4.0e-05, 4.0e-05, 4.0e-05],\n",
        "       [3.2e-05, 3.2e-05, 3.2e-05, ..., 3.2e-05, 3.2e-05, 3.2e-05]],\n",
-       "      shape=(5, 213))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_power</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>250.0 250.0 250.0 ... 105.0 105.0</div><input id='attrs-39f9e244-d896-4a87-bce8-9f7c618d460a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39f9e244-d896-4a87-bce8-9f7c618d460a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1c5dc14-4042-4956-99c2-b7605930f041' class='xr-var-data-in' type='checkbox'><label for='data-b1c5dc14-4042-4956-99c2-b7605930f041' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Nominal transmit power</dd><dt><span>units :</span></dt><dd>W</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 250.,  250.,  250., ...,  250.,  250.,  250.],\n",
+       "      shape=(5, 213))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_power</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>250.0 250.0 250.0 ... 105.0 105.0</div><input id='attrs-505ae3b7-85db-4ac8-80ae-72dbbd1a155f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-505ae3b7-85db-4ac8-80ae-72dbbd1a155f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac1e5c2c-3e2e-499f-9bc1-d89f19ed1e83' class='xr-var-data-in' type='checkbox'><label for='data-ac1e5c2c-3e2e-499f-9bc1-d89f19ed1e83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Nominal transmit power</dd><dt><span>units :</span></dt><dd>W</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[ 250.,  250.,  250., ...,  250.,  250.,  250.],\n",
        "       [1000., 1000., 1000., ..., 1000., 1000., 1000.],\n",
        "       [ 750.,  750.,  750., ...,  750.,  750.,  750.],\n",
        "       [2000., 2000., 2000., ..., 2000., 2000., 2000.],\n",
-       "       [ 105.,  105.,  105., ...,  105.,  105.,  105.]], shape=(5, 213))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_duration_nominal</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.001024 0.001024 ... 0.001024</div><input id='attrs-70d6b1f0-9270-4510-897e-fb59dd692fe2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70d6b1f0-9270-4510-897e-fb59dd692fe2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4503b807-4ace-47e7-8c4b-44a81f5ab717' class='xr-var-data-in' type='checkbox'><label for='data-4503b807-4ace-47e7-8c4b-44a81f5ab717' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Nominal bandwidth of transmitted pulse</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[0.001024, 0.001024, 0.001024, ..., 0.001024, 0.001024, 0.001024],\n",
+       "       [ 105.,  105.,  105., ...,  105.,  105.,  105.]], shape=(5, 213))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_duration_nominal</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.001024 0.001024 ... 0.001024</div><input id='attrs-9ec24b3a-f6a2-43a6-9174-b797291818fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ec24b3a-f6a2-43a6-9174-b797291818fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc390d8a-a6e2-4434-9b1a-b43ded1632ea' class='xr-var-data-in' type='checkbox'><label for='data-cc390d8a-a6e2-4434-9b1a-b43ded1632ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Nominal bandwidth of transmitted pulse</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>array([[0.001024, 0.001024, 0.001024, ..., 0.001024, 0.001024, 0.001024],\n",
        "       [0.001024, 0.001024, 0.001024, ..., 0.001024, 0.001024, 0.001024],\n",
        "       [0.001024, 0.001024, 0.001024, ..., 0.001024, 0.001024, 0.001024],\n",
        "       [0.001024, 0.001024, 0.001024, ..., 0.001024, 0.001024, 0.001024],\n",
        "       [0.001024, 0.001024, 0.001024, ..., 0.001024, 0.001024, 0.001024]],\n",
-       "      shape=(5, 213), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slope</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01628 0.01628 ... 0.009766</div><input id='attrs-7a543025-9ec3-4642-99f2-e9df43fbcec6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a543025-9ec3-4642-99f2-e9df43fbcec6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bd2ae4e-ecfa-4fa4-be8f-8f46bfbfae69' class='xr-var-data-in' type='checkbox'><label for='data-7bd2ae4e-ecfa-4fa4-be8f-8f46bfbfae69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Hann window slope parameter for transmit signal</dd></dl></div><div class='xr-var-data'><pre>array([[0.016276  , 0.016276  , 0.016276  , ..., 0.016276  , 0.016276  ,\n",
+       "      shape=(5, 213), dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slope</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01628 0.01628 ... 0.009766</div><input id='attrs-42e06931-4b78-48ed-bc9c-d5d8609dc986' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42e06931-4b78-48ed-bc9c-d5d8609dc986' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b5b188f-77cb-41af-9bba-5e88784056f0' class='xr-var-data-in' type='checkbox'><label for='data-3b5b188f-77cb-41af-9bba-5e88784056f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Hann window slope parameter for transmit signal</dd></dl></div><div class='xr-var-data'><pre>array([[0.016276  , 0.016276  , 0.016276  , ..., 0.016276  , 0.016276  ,\n",
        "        0.016276  ],\n",
        "       [0.5       , 0.5       , 0.5       , ..., 0.5       , 0.5       ,\n",
        "        0.5       ],\n",
@@ -4470,24 +4555,24 @@
        "       [0.25699   , 0.25699   , 0.25699   , ..., 0.25699   , 0.25699   ,\n",
        "        0.25699   ],\n",
        "       [0.00976563, 0.00976563, 0.00976563, ..., 0.00976563, 0.00976563,\n",
-       "        0.00976563]], shape=(5, 213))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>channel_mode</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-1683ae7b-9e13-4e61-9351-089bb1f7b23d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1683ae7b-9e13-4e61-9351-089bb1f7b23d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dd497f1-622f-4bb6-8384-f61d77d635c1' class='xr-var-data-in' type='checkbox'><label for='data-2dd497f1-622f-4bb6-8384-f61d77d635c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transceiver mode</dd><dt><span>flag_values :</span></dt><dd>[0, 1]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;Active&#x27;, &#x27;Unknown&#x27;]</dd></dl></div><div class='xr-var-data'><pre>array([[0, 0, 0, ..., 0, 0, 0],\n",
+       "        0.00976563]], shape=(5, 213))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>channel_mode</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-60699cc8-56b2-4add-bbc6-30e6ff46a1d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60699cc8-56b2-4add-bbc6-30e6ff46a1d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c894941-8de2-4809-8a34-d161703eb2d3' class='xr-var-data-in' type='checkbox'><label for='data-3c894941-8de2-4809-8a34-d161703eb2d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transceiver mode</dd><dt><span>flag_values :</span></dt><dd>[0, 1]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;Active&#x27;, &#x27;Unknown&#x27;]</dd></dl></div><div class='xr-var-data'><pre>array([[0, 0, 0, ..., 0, 0, 0],\n",
        "       [0, 0, 0, ..., 0, 0, 0],\n",
        "       [0, 0, 0, ..., 0, 0, 0],\n",
        "       [0, 0, 0, ..., 0, 0, 0],\n",
-       "       [0, 0, 0, ..., 0, 0, 0]], shape=(5, 213), dtype=int8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_type</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;CW&#x27; &#x27;CW&#x27; &#x27;CW&#x27; ... &#x27;CW&#x27; &#x27;CW&#x27; &#x27;CW&#x27;</div><input id='attrs-fac16ed2-9db9-4d44-9c92-1ed933c5d976' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fac16ed2-9db9-4d44-9c92-1ed933c5d976' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dbd9f54-ae0f-4ec1-b013-e07370029d6c' class='xr-var-data-in' type='checkbox'><label for='data-6dbd9f54-ae0f-4ec1-b013-e07370029d6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Type of transmitted pulse</dd><dt><span>flag_values :</span></dt><dd>[&#x27;CW&#x27;, &#x27;LFM&#x27;, &#x27;FMD&#x27;]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;Continuous Wave – a pulse nominally of one frequency&#x27;, &#x27;Linear Frequency Modulation – a pulse which varies from transmit_frequency_start to transmit_frequency_stop in a linear manner over the nominal pulse duration (transmit_duration_nominal)&#x27;, &quot;Frequency Modulated &#x27;D&#x27; - An EK80-specific FM type that is not clearly described&quot;]</dd></dl></div><div class='xr-var-data'><pre>array([[&#x27;CW&#x27;, &#x27;CW&#x27;, &#x27;CW&#x27;, ..., &#x27;CW&#x27;, &#x27;CW&#x27;, &#x27;CW&#x27;],\n",
+       "       [0, 0, 0, ..., 0, 0, 0]], shape=(5, 213), dtype=int8)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transmit_type</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;CW&#x27; &#x27;CW&#x27; &#x27;CW&#x27; ... &#x27;CW&#x27; &#x27;CW&#x27; &#x27;CW&#x27;</div><input id='attrs-5d379c16-a345-4066-85ea-f066b7bb87d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d379c16-a345-4066-85ea-f066b7bb87d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28598760-77ce-40de-831e-2639bf4eb8ef' class='xr-var-data-in' type='checkbox'><label for='data-28598760-77ce-40de-831e-2639bf4eb8ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Type of transmitted pulse</dd><dt><span>flag_values :</span></dt><dd>[&#x27;CW&#x27;, &#x27;LFM&#x27;, &#x27;FMD&#x27;]</dd><dt><span>flag_meanings :</span></dt><dd>[&#x27;Continuous Wave – a pulse nominally of one frequency&#x27;, &#x27;Linear Frequency Modulation – a pulse which varies from transmit_frequency_start to transmit_frequency_stop in a linear manner over the nominal pulse duration (transmit_duration_nominal)&#x27;, &quot;Frequency Modulated &#x27;D&#x27; - An EK80-specific FM type that is not clearly described&quot;]</dd></dl></div><div class='xr-var-data'><pre>array([[&#x27;CW&#x27;, &#x27;CW&#x27;, &#x27;CW&#x27;, ..., &#x27;CW&#x27;, &#x27;CW&#x27;, &#x27;CW&#x27;],\n",
        "       [&#x27;CW&#x27;, &#x27;CW&#x27;, &#x27;CW&#x27;, ..., &#x27;CW&#x27;, &#x27;CW&#x27;, &#x27;CW&#x27;],\n",
        "       [&#x27;CW&#x27;, &#x27;CW&#x27;, &#x27;CW&#x27;, ..., &#x27;CW&#x27;, &#x27;CW&#x27;, &#x27;CW&#x27;],\n",
        "       [&#x27;CW&#x27;, &#x27;CW&#x27;, &#x27;CW&#x27;, ..., &#x27;CW&#x27;, &#x27;CW&#x27;, &#x27;CW&#x27;],\n",
        "       [&#x27;CW&#x27;, &#x27;CW&#x27;, &#x27;CW&#x27;, ..., &#x27;CW&#x27;, &#x27;CW&#x27;, &#x27;CW&#x27;]],\n",
-       "      shape=(5, 213), dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sample_time_offset</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-0e367750-1e5a-4a9b-8d44-1be8bc3654fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e367750-1e5a-4a9b-8d44-1be8bc3654fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5905901b-87d4-491a-b22a-f7866d516da2' class='xr-var-data-in' type='checkbox'><label for='data-5905901b-87d4-491a-b22a-f7866d516da2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time offset that is subtracted from the timestamp of each sample</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "      shape=(5, 213), dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sample_time_offset</span></div><div class='xr-var-dims'>(channel, ping_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d852fa04-99f5-4d0e-aa56-228eb1f18181' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d852fa04-99f5-4d0e-aa56-228eb1f18181' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96360376-6749-482c-af94-95a50685d6b5' class='xr-var-data-in' type='checkbox'><label for='data-96360376-6749-482c-af94-95a50685d6b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time offset that is subtracted from the timestamp of each sample</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
-       "       [0., 0., 0., ..., 0., 0., 0.]], shape=(5, 213))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9d6cae4f-490d-46d0-9e5d-faa0bf66c5fe' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9d6cae4f-490d-46d0-9e5d-faa0bf66c5fe' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>beam_mode :</span></dt><dd>vertical</dd><dt><span>conversion_equation_t :</span></dt><dd>type_3</dd></dl></div></li></ul></div></div><br></div>\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], shape=(5, 213))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4317d206-3030-439e-af5d-0de0df8d8fcf' class='xr-section-summary-in' type='checkbox' checked /><label for='section-4317d206-3030-439e-af5d-0de0df8d8fcf' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>beam_mode :</span></dt><dd>vertical</dd><dt><span>conversion_equation_t :</span></dt><dd>type_3</dd></dl></div></li></ul></div></div><br></div>\n",
        "                        </ul>\n",
        "                    </div>\n",
-       "                </li></ul><li class=\"xr-section-list\"><input id=\"idata_99fc7bf7db86b888c22fa21629e3cec9\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
-       "                    <label for=\"idata_99fc7bf7db86b888c22fa21629e3cec9\" class=\"xr-section-summary\">Vendor_specific: contains vendor-specific information about the sonar and the data.</label>\n",
+       "                </li></ul><li class=\"xr-section-list\"><input id=\"idata_e294af3d823a5673447619a57b59f4a7\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
+       "                    <label for=\"idata_e294af3d823a5673447619a57b59f4a7\" class=\"xr-section-summary\">Vendor_specific: contains vendor-specific information about the sonar and the data.</label>\n",
        "                    <div class=\"xr-section-inline-details\"></div>\n",
        "                    <div class=\"xr-section-details\">\n",
        "                        <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
@@ -5058,22 +5143,22 @@
        "    PC_coeffs_imag               (channel, filter_time, PC_filter_n) float64 5kB ...\n",
        "    WBT_deci_fac                 (channel, filter_time) float64 40B 6.0 ... 6.0\n",
        "    PC_deci_fac                  (channel, filter_time) float64 40B 10.0 ... 8.0\n",
-       "    config_xml                   &lt;U74340 297kB &#x27;&lt;?xml version=&quot;1.0&quot; encoding=...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1c3225e1-be9b-455e-aba5-802d7bff53a5' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-1c3225e1-be9b-455e-aba5-802d7bff53a5' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>pulse_length_bin</span>: 5</li><li><span class='xr-has-index'>cal_channel_id</span>: 3</li><li><span class='xr-has-index'>cal_frequency</span>: 269</li><li><span class='xr-has-index'>filter_time</span>: 1</li><li><span>WBT_filter_n</span>: 47</li><li><span>PC_filter_n</span>: 123</li></ul></div></li><li class='xr-section-item'><input id='section-c41fcabe-1e3d-4094-88ab-58c536652eae' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c41fcabe-1e3d-4094-88ab-58c536652eae' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U25</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-da827ccf-77e1-443f-9b84-7fa00e5b5cec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-da827ccf-77e1-443f-9b84-7fa00e5b5cec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdb6d496-fcb3-4de2-8254-0ad0de8d76ff' class='xr-var-data-in' type='checkbox'><label for='data-bdb6d496-fcb3-4de2-8254-0ad0de8d76ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
+       "    config_xml                   &lt;U74340 297kB &#x27;&lt;?xml version=&quot;1.0&quot; encoding=...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DatasetView</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9dd80f54-9bbc-492e-abe9-049e99c97e18' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-9dd80f54-9bbc-492e-abe9-049e99c97e18' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>pulse_length_bin</span>: 5</li><li><span class='xr-has-index'>cal_channel_id</span>: 3</li><li><span class='xr-has-index'>cal_frequency</span>: 269</li><li><span class='xr-has-index'>filter_time</span>: 1</li><li><span>WBT_filter_n</span>: 47</li><li><span>PC_filter_n</span>: 123</li></ul></div></li><li class='xr-section-item'><input id='section-594db6c1-7d87-4fc7-8b1b-824fb4aa07da' class='xr-section-summary-in' type='checkbox' checked /><label for='section-594db6c1-7d87-4fc7-8b1b-824fb4aa07da' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U25</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-42647731-5f66-42f3-a7fa-9bd2395eed3c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42647731-5f66-42f3-a7fa-9bd2395eed3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-465b1de0-4ccb-4065-a694-a39e20697903' class='xr-var-data-in' type='checkbox'><label for='data-465b1de0-4ccb-4065-a694-a39e20697903' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
        "       &#x27;WBT 400142-15 ES70-7C_ES&#x27;, &#x27;WBT 400143-15 ES38B_ES&#x27;,\n",
-       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>pulse_length_bin</span></div><div class='xr-var-dims'>(pulse_length_bin)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4</div><input id='attrs-b420ff4b-91de-4b43-b82b-43e68f24d37b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b420ff4b-91de-4b43-b82b-43e68f24d37b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-086c0435-1bd2-49bd-bdc9-ab707bd53299' class='xr-var-data-in' type='checkbox'><label for='data-086c0435-1bd2-49bd-bdc9-ab707bd53299' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cal_channel_id</span></div><div class='xr-var-dims'>(cal_channel_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-5cd2c889-e501-4e73-96e6-8fbd6a9424f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cd2c889-e501-4e73-96e6-8fbd6a9424f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a3075d3-333a-4d58-bd21-41b51a429f89' class='xr-var-data-in' type='checkbox'><label for='data-1a3075d3-333a-4d58-bd21-41b51a429f89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ID of channels containing broadband calibration information</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400142-15 ES70-7C_ES&#x27;,\n",
-       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cal_frequency</span></div><div class='xr-var-dims'>(cal_frequency)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>45000 45473 45947 ... 240478 241459</div><input id='attrs-26c8351f-d24e-4edc-95ea-49d587e467d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26c8351f-d24e-4edc-95ea-49d587e467d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bb42ce0-9a38-450f-b11a-b726d00211c1' class='xr-var-data-in' type='checkbox'><label for='data-9bb42ce0-9a38-450f-b11a-b726d00211c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Frequency of calibration parameter</dd><dt><span>units :</span></dt><dd>Hz</dd></dl></div><div class='xr-var-data'><pre>array([ 45000,  45473,  45947, ..., 239497, 240478, 241459], shape=(269,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>filter_time</span></div><div class='xr-var-dims'>(filter_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163</div><input id='attrs-b76629ed-307d-43d5-afdd-9e15408c51a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b76629ed-307d-43d5-afdd-9e15408c51a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31077cf6-b37f-4a7e-8ca5-b048c1be4c6b' class='xr-var-data-in' type='checkbox'><label for='data-31077cf6-b37f-4a7e-8ca5-b048c1be4c6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c1c77e9a-c774-4089-9a06-3d3aebfe66ad' class='xr-section-summary-in' type='checkbox' /><label for='section-c1c77e9a-c774-4089-9a06-3d3aebfe66ad' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-f1de4ad4-d80c-4e04-8fc5-64f73a8fa895' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1de4ad4-d80c-4e04-8fc5-64f73a8fa895' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4e832b7-9c1e-4348-abb2-ce3c59b37568' class='xr-var-data-in' type='checkbox'><label for='data-d4e832b7-9c1e-4348-abb2-ce3c59b37568' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sa_correction</span></div><div class='xr-var-dims'>(channel, pulse_length_bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 -0.09</div><input id='attrs-9b0f5172-3227-4d88-9532-bc93c71d5d75' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9b0f5172-3227-4d88-9532-bc93c71d5d75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86b17f1c-7e20-4dc0-a2bb-0c181e8878b7' class='xr-var-data-in' type='checkbox'><label for='data-86b17f1c-7e20-4dc0-a2bb-0c181e8878b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.  ,  0.  ,  0.  ,  0.  , -0.12],\n",
+       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=&#x27;&lt;U25&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>pulse_length_bin</span></div><div class='xr-var-dims'>(pulse_length_bin)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4</div><input id='attrs-0c6bb69b-bd4f-49b4-b3e9-cce1499ccdb3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c6bb69b-bd4f-49b4-b3e9-cce1499ccdb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f64d356-a26c-4888-89a6-c9e90dcbe5a7' class='xr-var-data-in' type='checkbox'><label for='data-7f64d356-a26c-4888-89a6-c9e90dcbe5a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cal_channel_id</span></div><div class='xr-var-dims'>(cal_channel_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-0d87ea3f-0381-4d86-9969-722a3216953a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d87ea3f-0381-4d86-9969-722a3216953a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-560d7849-cb18-43f9-ae34-f034161e17de' class='xr-var-data-in' type='checkbox'><label for='data-560d7849-cb18-43f9-ae34-f034161e17de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ID of channels containing broadband calibration information</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400142-15 ES70-7C_ES&#x27;,\n",
+       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cal_frequency</span></div><div class='xr-var-dims'>(cal_frequency)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>45000 45473 45947 ... 240478 241459</div><input id='attrs-a187ded7-afab-4a97-9fbf-be0965354a85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a187ded7-afab-4a97-9fbf-be0965354a85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0df95e44-0c75-4099-bd61-178f5a17e21d' class='xr-var-data-in' type='checkbox'><label for='data-0df95e44-0c75-4099-bd61-178f5a17e21d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Frequency of calibration parameter</dd><dt><span>units :</span></dt><dd>Hz</dd></dl></div><div class='xr-var-data'><pre>array([ 45000,  45473,  45947, ..., 239497, 240478, 241459], shape=(269,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>filter_time</span></div><div class='xr-var-dims'>(filter_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163</div><input id='attrs-612277be-b6e5-4747-9c0e-34428e2d240b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-612277be-b6e5-4747-9c0e-34428e2d240b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6baa7449-6f02-493e-baa2-b3df664bbc5e' class='xr-var-data-in' type='checkbox'><label for='data-6baa7449-6f02-493e-baa2-b3df664bbc5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b55771ce-569d-4f1d-b3c6-35bd8ac15fbc' class='xr-section-summary-in' type='checkbox' /><label for='section-b55771ce-569d-4f1d-b3c6-35bd8ac15fbc' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-46871ddc-ea07-43ff-b721-efb0a3bc6dc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46871ddc-ea07-43ff-b721-efb0a3bc6dc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-451471f9-b01b-4ae6-86f1-70858bbdd493' class='xr-var-data-in' type='checkbox'><label for='data-451471f9-b01b-4ae6-86f1-70858bbdd493' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sa_correction</span></div><div class='xr-var-dims'>(channel, pulse_length_bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 -0.09</div><input id='attrs-6ac8fc17-9d90-4cb1-9b37-5ec612535fdc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ac8fc17-9d90-4cb1-9b37-5ec612535fdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06796fba-90dc-4a89-9059-f03911efb929' class='xr-var-data-in' type='checkbox'><label for='data-06796fba-90dc-4a89-9059-f03911efb929' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.  ,  0.  ,  0.  ,  0.  , -0.12],\n",
        "       [ 0.  , -0.07,  0.  ,  0.  ,  0.  ],\n",
        "       [ 0.  ,  0.  ,  0.  , -0.2 ,  0.  ],\n",
        "       [ 0.  ,  0.  , -0.07,  0.  ,  0.  ],\n",
-       "       [ 0.  ,  0.  ,  0.  ,  0.  , -0.09]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gain_correction</span></div><div class='xr-var-dims'>(channel, pulse_length_bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.0 27.0 27.0 ... 26.0 26.0 27.55</div><input id='attrs-f937f0c4-3a54-4785-beb3-1a1465d4529a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f937f0c4-3a54-4785-beb3-1a1465d4529a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48fc2f51-6b91-4de7-8b94-901dc61d5c0d' class='xr-var-data-in' type='checkbox'><label for='data-48fc2f51-6b91-4de7-8b94-901dc61d5c0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[27.  , 27.  , 27.  , 27.  , 26.76],\n",
+       "       [ 0.  ,  0.  ,  0.  ,  0.  , -0.09]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gain_correction</span></div><div class='xr-var-dims'>(channel, pulse_length_bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>27.0 27.0 27.0 ... 26.0 26.0 27.55</div><input id='attrs-df352877-5fd4-44eb-873d-639a6080df08' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-df352877-5fd4-44eb-873d-639a6080df08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0dcb88b-15e0-46fe-a993-60ec06bd75a9' class='xr-var-data-in' type='checkbox'><label for='data-c0dcb88b-15e0-46fe-a993-60ec06bd75a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[27.  , 27.  , 27.  , 27.  , 26.76],\n",
        "       [20.3 , 23.08, 22.9 , 23.  , 23.  ],\n",
        "       [27.  , 27.  , 27.  , 28.1 , 27.  ],\n",
        "       [23.  , 25.  , 26.46, 25.5 , 25.  ],\n",
-       "       [26.  , 26.  , 26.  , 26.  , 27.55]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pulse_length</span></div><div class='xr-var-dims'>(channel, pulse_length_bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.4e-05 0.000128 ... 0.001024</div><input id='attrs-12b8827a-9d51-47c5-a594-977b051a8212' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12b8827a-9d51-47c5-a594-977b051a8212' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23a6d832-86e3-4bbc-b56f-3d420e1fd4b1' class='xr-var-data-in' type='checkbox'><label for='data-23a6d832-86e3-4bbc-b56f-3d420e1fd4b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[6.400e-05, 1.280e-04, 2.560e-04, 5.120e-04, 1.024e-03],\n",
+       "       [26.  , 26.  , 26.  , 26.  , 27.55]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pulse_length</span></div><div class='xr-var-dims'>(channel, pulse_length_bin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.4e-05 0.000128 ... 0.001024</div><input id='attrs-6bfad4fe-d60a-4712-b7c5-2347b012932c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6bfad4fe-d60a-4712-b7c5-2347b012932c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba54d165-e108-48b4-a630-5152b0e65b67' class='xr-var-data-in' type='checkbox'><label for='data-ba54d165-e108-48b4-a630-5152b0e65b67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[6.400e-05, 1.280e-04, 2.560e-04, 5.120e-04, 1.024e-03],\n",
        "       [5.120e-04, 1.024e-03, 2.048e-03, 4.096e-03, 8.192e-03],\n",
        "       [1.280e-04, 2.560e-04, 5.120e-04, 1.024e-03, 2.048e-03],\n",
        "       [2.560e-04, 5.120e-04, 1.024e-03, 2.048e-03, 4.096e-03],\n",
-       "       [6.400e-05, 1.280e-04, 2.560e-04, 5.120e-04, 1.024e-03]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>impedance_transceiver</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5400 5400 5400 5400 5400</div><input id='attrs-7ce3b52c-bcbb-4d9b-80b2-7ccfce37ad08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ce3b52c-bcbb-4d9b-80b2-7ccfce37ad08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68cc9283-41c5-449c-9333-993e40107d29' class='xr-var-data-in' type='checkbox'><label for='data-68cc9283-41c5-449c-9333-993e40107d29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ohm</dd><dt><span>long_name :</span></dt><dd>Transceiver impedance</dd></dl></div><div class='xr-var-data'><pre>array([5400, 5400, 5400, 5400, 5400])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>receiver_sampling_frequency</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.5e+06 1.5e+06 ... 1.5e+06 1.5e+06</div><input id='attrs-923e6b11-6a09-4079-a847-26a45eb2d6ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-923e6b11-6a09-4079-a847-26a45eb2d6ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e5867fc-a885-4967-839c-4f02198bf887' class='xr-var-data-in' type='checkbox'><label for='data-8e5867fc-a885-4967-839c-4f02198bf887' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Receiver sampling frequency</dd></dl></div><div class='xr-var-data'><pre>array([1500000., 1500000., 1500000., 1500000., 1500000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transceiver_type</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;WBT&#x27; &#x27;WBT&#x27; &#x27;WBT&#x27; &#x27;WBT&#x27; &#x27;WBT&#x27;</div><input id='attrs-adba1af8-6843-48ab-88a6-e78eafc1b952' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adba1af8-6843-48ab-88a6-e78eafc1b952' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eeed4997-22d8-4510-9e89-638f6e1ab2be' class='xr-var-data-in' type='checkbox'><label for='data-eeed4997-22d8-4510-9e89-638f6e1ab2be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transceiver type</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT&#x27;, &#x27;WBT&#x27;, &#x27;WBT&#x27;, &#x27;WBT&#x27;, &#x27;WBT&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gain</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 28.41 28.33 28.35</div><input id='attrs-695ae516-8764-4ba9-adb7-ede5768e6327' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-695ae516-8764-4ba9-adb7-ede5768e6327' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e476d35d-e34c-4d86-b331-993697ee2480' class='xr-var-data-in' type='checkbox'><label for='data-e476d35d-e34c-4d86-b331-993697ee2480' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
+       "       [6.400e-05, 1.280e-04, 2.560e-04, 5.120e-04, 1.024e-03]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>impedance_transceiver</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5400 5400 5400 5400 5400</div><input id='attrs-4757aeff-2194-4c74-80b6-e817ca6ddc84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4757aeff-2194-4c74-80b6-e817ca6ddc84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69468d44-fcea-4588-b6a4-89905106932a' class='xr-var-data-in' type='checkbox'><label for='data-69468d44-fcea-4588-b6a4-89905106932a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ohm</dd><dt><span>long_name :</span></dt><dd>Transceiver impedance</dd></dl></div><div class='xr-var-data'><pre>array([5400, 5400, 5400, 5400, 5400])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>receiver_sampling_frequency</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.5e+06 1.5e+06 ... 1.5e+06 1.5e+06</div><input id='attrs-32282aa4-0649-4a88-bdbe-4855235ec620' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32282aa4-0649-4a88-bdbe-4855235ec620' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a01ffc10-fe57-49a7-82e4-7cae9fecd058' class='xr-var-data-in' type='checkbox'><label for='data-a01ffc10-fe57-49a7-82e4-7cae9fecd058' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Receiver sampling frequency</dd></dl></div><div class='xr-var-data'><pre>array([1500000., 1500000., 1500000., 1500000., 1500000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transceiver_type</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;WBT&#x27; &#x27;WBT&#x27; &#x27;WBT&#x27; &#x27;WBT&#x27; &#x27;WBT&#x27;</div><input id='attrs-a888c906-08f6-43b3-b324-535e574591b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a888c906-08f6-43b3-b324-535e574591b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-191ac490-4d47-4247-ab33-c587a2634c16' class='xr-var-data-in' type='checkbox'><label for='data-191ac490-4d47-4247-ab33-c587a2634c16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Transceiver type</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT&#x27;, &#x27;WBT&#x27;, &#x27;WBT&#x27;, &#x27;WBT&#x27;, &#x27;WBT&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gain</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 28.41 28.33 28.35</div><input id='attrs-a1fbbbcf-a745-4077-816e-6974ddf0d603' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a1fbbbcf-a745-4077-816e-6974ddf0d603' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cd34717-037a-492d-abf6-dc7048a95690' class='xr-var-data-in' type='checkbox'><label for='data-4cd34717-037a-492d-abf6-dc7048a95690' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
@@ -5113,7 +5198,7 @@
        "        27.99, 27.73, 27.53, 27.72, 28.02, 28.29, 28.13, 27.84, 28.94,\n",
        "        28.81, 28.46, 28.19, 28.44, 28.89, 29.07, 28.78, 27.5 , 26.81,\n",
        "        27.19, 27.7 , 28.74, 28.36, 27.99, 28.06, 28.44, 28.68, 28.53,\n",
-       "        27.93, 27.9 , 28.31, 28.77, 28.81, 28.41, 28.33, 28.35]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>impedance_transducer</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 75.0 75.0 75.0</div><input id='attrs-9b01ddc9-8a47-4f4b-83ae-a1a5bc079227' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9b01ddc9-8a47-4f4b-83ae-a1a5bc079227' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d72d0828-5a39-44cd-84d9-15950d1b2242' class='xr-var-data-in' type='checkbox'><label for='data-d72d0828-5a39-44cd-84d9-15950d1b2242' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "        27.93, 27.9 , 28.31, 28.77, 28.81, 28.41, 28.33, 28.35]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>impedance_transducer</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 75.0 75.0 75.0</div><input id='attrs-a35bfc94-1d6c-4499-bcd3-e4bcca932f42' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a35bfc94-1d6c-4499-bcd3-e4bcca932f42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c78c06d0-5a51-48de-b8bc-133cc8841d41' class='xr-var-data-in' type='checkbox'><label for='data-c78c06d0-5a51-48de-b8bc-133cc8841d41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
        "        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
        "        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
        "        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
@@ -5153,7 +5238,7 @@
        "        75., 75., 75., 75., 75., 75., 75., 75., 75., 75., 75., 75., 75.,\n",
        "        75., 75., 75., 75., 75., 75., 75., 75., 75., 75., 75., 75., 75.,\n",
        "        75., 75., 75., 75., 75., 75., 75., 75., 75., 75., 75., 75., 75.,\n",
-       "        75., 75., 75., 75., 75., 75., 75., 75., 75.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phase</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.0 0.0 0.0 0.0</div><input id='attrs-2b817d00-3cb7-4a5d-a066-9dbded5644fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2b817d00-3cb7-4a5d-a066-9dbded5644fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a393545-f13f-4d43-a9c6-d2dd9f67123e' class='xr-var-data-in' type='checkbox'><label for='data-0a393545-f13f-4d43-a9c6-d2dd9f67123e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "        75., 75., 75., 75., 75., 75., 75., 75., 75.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phase</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.0 0.0 0.0 0.0</div><input id='attrs-40f4c924-5540-41e0-9421-04124f65e397' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-40f4c924-5540-41e0-9421-04124f65e397' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b714f541-b41a-45cf-980e-05547067b5bb' class='xr-var-data-in' type='checkbox'><label for='data-b714f541-b41a-45cf-980e-05547067b5bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
        "        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
        "        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
        "        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
@@ -5193,7 +5278,7 @@
        "         0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,\n",
        "         0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,\n",
        "         0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,\n",
-       "         0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_alongship</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 6.25 5.95 5.85</div><input id='attrs-0508ea1a-1239-4285-a00b-f1b1c02e57b0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0508ea1a-1239-4285-a00b-f1b1c02e57b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df36875b-4736-4fdc-9777-79c7b1d686fb' class='xr-var-data-in' type='checkbox'><label for='data-df36875b-4736-4fdc-9777-79c7b1d686fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
+       "         0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_alongship</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 6.25 5.95 5.85</div><input id='attrs-ae2fce68-b6e8-4f2c-93c2-c20973fcf4a3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae2fce68-b6e8-4f2c-93c2-c20973fcf4a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f546d996-8477-43f3-963a-69f3b0550bfb' class='xr-var-data-in' type='checkbox'><label for='data-f546d996-8477-43f3-963a-69f3b0550bfb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
@@ -5233,7 +5318,7 @@
        "         7.23,  7.28,  7.05,  7.03,  6.77,  7.39,  7.32,  7.03,  6.61,\n",
        "         6.67,  6.51,  6.81,  6.46,  6.3 ,  6.24,  6.7 ,  6.33,  6.37,\n",
        "         6.02,  7.76,  6.17,  6.35,  6.1 ,  6.22,  6.06,  6.15,  6.24,\n",
-       "         5.78,  6.6 ,  6.15,  5.98,  6.6 ,  6.25,  5.95,  5.85]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_athwartship</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 5.91 5.55 5.38</div><input id='attrs-71ffae14-171b-407f-a4f9-b6398c26393e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-71ffae14-171b-407f-a4f9-b6398c26393e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fae78e9-2133-41da-958f-8364c1ab453a' class='xr-var-data-in' type='checkbox'><label for='data-0fae78e9-2133-41da-958f-8364c1ab453a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
+       "         5.78,  6.6 ,  6.15,  5.98,  6.6 ,  6.25,  5.95,  5.85]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_athwartship</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 5.91 5.55 5.38</div><input id='attrs-1f62c02f-699e-424a-a920-726436d45b11' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f62c02f-699e-424a-a920-726436d45b11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1bc79c1-931d-4f93-88bf-04e743ba8a0f' class='xr-var-data-in' type='checkbox'><label for='data-a1bc79c1-931d-4f93-88bf-04e743ba8a0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
@@ -5273,7 +5358,7 @@
        "         6.43,  6.57,  6.32,  6.31,  6.44,  6.28,  6.73,  6.35,  6.01,\n",
        "         6.17,  6.11,  5.8 ,  5.9 ,  5.74,  5.88,  6.13,  6.05,  6.02,\n",
        "         5.78,  5.68,  5.83,  5.95,  5.69,  5.86,  5.8 ,  5.67,  5.71,\n",
-       "         6.11,  5.77,  5.55,  5.49,  5.29,  5.91,  5.55,  5.38]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_alongship</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -0.12 -0.07 0.02</div><input id='attrs-c5951160-a2bd-4de5-8491-ed17f793e501' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c5951160-a2bd-4de5-8491-ed17f793e501' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52b47acb-6c7b-4cc2-9a75-7913e0f611f3' class='xr-var-data-in' type='checkbox'><label for='data-52b47acb-6c7b-4cc2-9a75-7913e0f611f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
+       "         6.11,  5.77,  5.55,  5.49,  5.29,  5.91,  5.55,  5.38]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_alongship</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -0.12 -0.07 0.02</div><input id='attrs-39b40b43-25e6-43d0-adfe-5ac7c3a1be5d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39b40b43-25e6-43d0-adfe-5ac7c3a1be5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2ec4357-e477-4f17-a255-4a0773ccfe60' class='xr-var-data-in' type='checkbox'><label for='data-d2ec4357-e477-4f17-a255-4a0773ccfe60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
@@ -5313,7 +5398,7 @@
        "        -0.16, -0.22, -0.2 , -0.07,  0.07, -0.09, -0.13, -0.17,  0.05,\n",
        "        -0.02, -0.07, -0.13,  0.08,  0.07, -0.02,  0.03, -0.12,  0.04,\n",
        "         0.02,  0.17, -0.04, -0.13, -0.02,  0.12,  0.04, -0.01, -0.07,\n",
-       "        -0.02, -0.09,  0.  , -0.02, -0.25, -0.12, -0.07,  0.02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_athwartship</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.11 0.08 0.09</div><input id='attrs-9c0be1b3-27a4-4da3-878a-0cd4411177c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9c0be1b3-27a4-4da3-878a-0cd4411177c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51e1851e-dc79-4672-b190-aaf5d86af42c' class='xr-var-data-in' type='checkbox'><label for='data-51e1851e-dc79-4672-b190-aaf5d86af42c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
+       "        -0.02, -0.09,  0.  , -0.02, -0.25, -0.12, -0.07,  0.02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_athwartship</span></div><div class='xr-var-dims'>(cal_channel_id, cal_frequency)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.11 0.08 0.09</div><input id='attrs-c7133be6-fffd-40df-a3c8-db0a104989cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7133be6-fffd-40df-a3c8-db0a104989cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fffbbcfc-a0fc-4e89-a3f3-9969044eb53c' class='xr-var-data-in' type='checkbox'><label for='data-fffbbcfc-a0fc-4e89-a3f3-9969044eb53c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
        "          nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,   nan,\n",
@@ -5353,7 +5438,7 @@
        "         0.08,  0.06,  0.06,  0.08,  0.15,  0.1 ,  0.09,  0.04,  0.17,\n",
        "         0.14,  0.11,  0.17,  0.2 ,  0.19,  0.14,  0.11,  0.16,  0.13,\n",
        "         0.12,  0.13,  0.18,  0.11,  0.08,  0.06,  0.14,  0.14,  0.13,\n",
-       "         0.13,  0.09,  0.13,  0.09,  0.03,  0.11,  0.08,  0.09]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WBT_coeffs_real</span></div><div class='xr-var-dims'>(channel, filter_time, WBT_filter_n)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0004548 0.0008335 ... nan nan</div><input id='attrs-a31d47af-7531-4dd1-bc31-dd8e12995761' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a31d47af-7531-4dd1-bc31-dd8e12995761' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4754db0b-eb58-4546-9b74-cd32439c364d' class='xr-var-data-in' type='checkbox'><label for='data-4754db0b-eb58-4546-9b74-cd32439c364d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wideband transceiver filter coefficients (real part)</dd></dl></div><div class='xr-var-data'><pre>array([[[ 4.54773195e-04,  8.33493425e-04, -1.44901872e-03,\n",
+       "         0.13,  0.09,  0.13,  0.09,  0.03,  0.11,  0.08,  0.09]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WBT_coeffs_real</span></div><div class='xr-var-dims'>(channel, filter_time, WBT_filter_n)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0004548 0.0008335 ... nan nan</div><input id='attrs-a0126a9c-a5a4-4766-82e9-5bdb0c82e206' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0126a9c-a5a4-4766-82e9-5bdb0c82e206' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fddd1204-b0b3-428d-90e9-0c0e76ca937c' class='xr-var-data-in' type='checkbox'><label for='data-fddd1204-b0b3-428d-90e9-0c0e76ca937c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wideband transceiver filter coefficients (real part)</dd></dl></div><div class='xr-var-data'><pre>array([[[ 4.54773195e-04,  8.33493425e-04, -1.44901872e-03,\n",
        "         -1.11878719e-02, -3.14850174e-02, -5.71385771e-02,\n",
        "         -7.13678747e-02, -5.25236800e-02,  9.97805130e-03,\n",
        "          1.01650387e-01,  1.84622541e-01,  2.18127519e-01,\n",
@@ -5393,7 +5478,7 @@
        "                     nan,             nan,             nan,\n",
        "                     nan,             nan,             nan,\n",
        "                     nan,             nan,             nan,\n",
-       "                     nan,             nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WBT_coeffs_imag</span></div><div class='xr-var-dims'>(channel, filter_time, WBT_filter_n)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0004271 0.002565 ... 0.0 0.0</div><input id='attrs-3e78d34c-c464-459a-8eed-34c87cf7f49f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e78d34c-c464-459a-8eed-34c87cf7f49f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37510ead-1fe4-4406-8e06-137c09c241c5' class='xr-var-data-in' type='checkbox'><label for='data-37510ead-1fe4-4406-8e06-137c09c241c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wideband transceiver filter coefficients (imaginary part)</dd></dl></div><div class='xr-var-data'><pre>array([[[ 4.27060440e-04,  2.56522908e-03,  7.59602245e-03,\n",
+       "                     nan,             nan]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WBT_coeffs_imag</span></div><div class='xr-var-dims'>(channel, filter_time, WBT_filter_n)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0004271 0.002565 ... 0.0 0.0</div><input id='attrs-344036e9-d98b-42ab-b2fe-afcf35f272bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-344036e9-d98b-42ab-b2fe-afcf35f272bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffdd8fed-eb9f-4d7c-9045-a2424cd3ac49' class='xr-var-data-in' type='checkbox'><label for='data-ffdd8fed-eb9f-4d7c-9045-a2424cd3ac49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wideband transceiver filter coefficients (imaginary part)</dd></dl></div><div class='xr-var-data'><pre>array([[[ 4.27060440e-04,  2.56522908e-03,  7.59602245e-03,\n",
        "          1.35238143e-02,  1.24657992e-02, -7.21828081e-03,\n",
        "         -5.18517978e-02, -1.11618504e-01, -1.58596575e-01,\n",
        "         -1.60175383e-01, -1.01497099e-01,  0.00000000e+00,\n",
@@ -5433,7 +5518,7 @@
        "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
        "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
        "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "          0.00000000e+00,  0.00000000e+00]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PC_coeffs_real</span></div><div class='xr-var-dims'>(channel, filter_time, PC_filter_n)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.649e-06 8.591e-06 ... 9.147e-06</div><input id='attrs-3271af0d-69d5-4d29-8b59-ad5d1ceaf61a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3271af0d-69d5-4d29-8b59-ad5d1ceaf61a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc7a9875-cc9b-4d10-8ca9-3a67a03cc139' class='xr-var-data-in' type='checkbox'><label for='data-cc7a9875-cc9b-4d10-8ca9-3a67a03cc139' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Pulse compression filter coefficients (real part)</dd></dl></div><div class='xr-var-data'><pre>array([[[-5.64898892e-06,  8.59066949e-06, -1.70977128e-05,\n",
+       "          0.00000000e+00,  0.00000000e+00]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PC_coeffs_real</span></div><div class='xr-var-dims'>(channel, filter_time, PC_filter_n)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.649e-06 8.591e-06 ... 9.147e-06</div><input id='attrs-981dc0ed-e1bf-42da-878c-f5d30d6747e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-981dc0ed-e1bf-42da-878c-f5d30d6747e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07874d28-9fd4-4d07-a9be-600a86d2e407' class='xr-var-data-in' type='checkbox'><label for='data-07874d28-9fd4-4d07-a9be-600a86d2e407' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Pulse compression filter coefficients (real part)</dd></dl></div><div class='xr-var-data'><pre>array([[[-5.64898892e-06,  8.59066949e-06, -1.70977128e-05,\n",
        "          3.03576016e-05, -4.91530809e-05,  7.50781110e-05,\n",
        "         -1.08841901e-04,  1.51761589e-04, -2.04027383e-04,\n",
        "          2.66163552e-04, -3.37272882e-04,  4.16491675e-04,\n",
@@ -5473,7 +5558,7 @@
        "          4.16190072e-04,  1.04815445e-04, -2.22525108e-04,\n",
        "         -1.77823618e-04,  5.32472586e-05,  1.34346395e-04,\n",
        "          3.15534780e-05, -6.27002737e-05, -4.60112933e-05,\n",
-       "          1.21937455e-05,  2.73860878e-05,  9.14701923e-06]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PC_coeffs_imag</span></div><div class='xr-var-dims'>(channel, filter_time, PC_filter_n)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.988e-05 2.629e-05 ... -2.893e-05</div><input id='attrs-84a6ccfc-9dcb-4d21-b75c-c470ec71a87d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84a6ccfc-9dcb-4d21-b75c-c470ec71a87d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21c9d8f6-992b-4596-a407-3dc7a0f00ce0' class='xr-var-data-in' type='checkbox'><label for='data-21c9d8f6-992b-4596-a407-3dc7a0f00ce0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Pulse compression filter coefficients (imaginary part)</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.98759260e-05,  2.62850190e-05, -3.64410589e-05,\n",
+       "          1.21937455e-05,  2.73860878e-05,  9.14701923e-06]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PC_coeffs_imag</span></div><div class='xr-var-dims'>(channel, filter_time, PC_filter_n)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.988e-05 2.629e-05 ... -2.893e-05</div><input id='attrs-918ff91e-1f36-4935-a115-acf8f8f10ab3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-918ff91e-1f36-4935-a115-acf8f8f10ab3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-058c8aac-ed43-43e8-bb73-16b9550f78bf' class='xr-var-data-in' type='checkbox'><label for='data-058c8aac-ed43-43e8-bb73-16b9550f78bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Pulse compression filter coefficients (imaginary part)</dd></dl></div><div class='xr-var-data'><pre>array([[[-2.98759260e-05,  2.62850190e-05, -3.64410589e-05,\n",
        "          4.77569047e-05, -5.94764861e-05,  7.04559498e-05,\n",
        "         -7.91147031e-05,  8.34040766e-05, -8.08000113e-05,\n",
        "          6.83263133e-05, -4.26138067e-05,  2.45083441e-18,\n",
@@ -5513,15 +5598,15 @@
        "         -1.58999218e-17, -3.23363201e-04, -1.61491145e-04,\n",
        "          1.29013599e-04,  1.64652651e-04, -5.26718670e-18,\n",
        "         -9.78860553e-05, -4.53715948e-05,  3.32463424e-05,\n",
-       "          3.83029255e-05, -1.88707877e-18, -2.89260643e-05]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WBT_deci_fac</span></div><div class='xr-var-dims'>(channel, filter_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.0 6.0 6.0 6.0 6.0</div><input id='attrs-3d6d1c39-6574-4d10-be81-03ecfbc65294' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d6d1c39-6574-4d10-be81-03ecfbc65294' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ce94460-911e-4664-be90-c0aa65fea69c' class='xr-var-data-in' type='checkbox'><label for='data-3ce94460-911e-4664-be90-c0aa65fea69c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wideband transceiver decimation factor</dd></dl></div><div class='xr-var-data'><pre>array([[6.],\n",
+       "          3.83029255e-05, -1.88707877e-18, -2.89260643e-05]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WBT_deci_fac</span></div><div class='xr-var-dims'>(channel, filter_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.0 6.0 6.0 6.0 6.0</div><input id='attrs-533013eb-20f8-4b4c-9fb4-2f5f400f6ced' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-533013eb-20f8-4b4c-9fb4-2f5f400f6ced' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-753a7bc1-33c6-4e8f-a0bb-72960ea5c35c' class='xr-var-data-in' type='checkbox'><label for='data-753a7bc1-33c6-4e8f-a0bb-72960ea5c35c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wideband transceiver decimation factor</dd></dl></div><div class='xr-var-data'><pre>array([[6.],\n",
        "       [6.],\n",
        "       [6.],\n",
        "       [6.],\n",
-       "       [6.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PC_deci_fac</span></div><div class='xr-var-dims'>(channel, filter_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0 7.0 12.0 10.0 8.0</div><input id='attrs-8a16f411-cc1b-4743-a9e8-f9823405050a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a16f411-cc1b-4743-a9e8-f9823405050a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21914cf1-7e7f-4581-8ea6-59ea318bcddc' class='xr-var-data-in' type='checkbox'><label for='data-21914cf1-7e7f-4581-8ea6-59ea318bcddc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Pulse compression decimation factor</dd></dl></div><div class='xr-var-data'><pre>array([[10.],\n",
+       "       [6.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PC_deci_fac</span></div><div class='xr-var-dims'>(channel, filter_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0 7.0 12.0 10.0 8.0</div><input id='attrs-622e9254-2b9e-40c6-a226-38a10affddde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-622e9254-2b9e-40c6-a226-38a10affddde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-757f4385-4a1f-48cb-8330-44df48d37672' class='xr-var-data-in' type='checkbox'><label for='data-757f4385-4a1f-48cb-8330-44df48d37672' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Pulse compression decimation factor</dd></dl></div><div class='xr-var-data'><pre>array([[10.],\n",
        "       [ 7.],\n",
        "       [12.],\n",
        "       [10.],\n",
-       "       [ 8.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>config_xml</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U74340</div><div class='xr-var-preview xr-preview'>&#x27;&lt;?xml version=&quot;1.0&quot; encoding=&quot;u...</div><input id='attrs-97542bc8-7cf0-4a0e-b493-a138cd58b87b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-97542bc8-7cf0-4a0e-b493-a138cd58b87b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2797ef99-37ff-4a61-af18-bf7c6fe2b8b6' class='xr-var-data-in' type='checkbox'><label for='data-2797ef99-37ff-4a61-af18-bf7c6fe2b8b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;&lt;?xml version=&quot;1.0&quot; encoding=&quot;utf-8&quot; ?&gt;\\n&lt;Configuration&gt;\\n    &lt;Header Copyright=&quot;Copyright(c) Kongsberg Maritime AS, Norway&quot; ApplicationName=&quot;EK80&quot; Version=&quot;21.15.2.0&quot; FileFormatVersion=&quot;1.27&quot; TimeBias=&quot;0&quot; /&gt;\\n    &lt;ActivePingMode Mode=&quot;Direct&quot; /&gt;\\n    &lt;Transceivers MergeOperation=&quot;AddNodeTree&quot;&gt;\\n        &lt;Transceiver TransceiverName=&quot;WBT 400141&quot; IPAddress=&quot;157.237.15.100&quot; MarketSegment=&quot;Scientific&quot; SerialNumber=&quot;400141&quot; Impedance=&quot;5400&quot; Multiplexing=&quot;0&quot; RxSampleFrequency=&quot;1500000&quot; TransceiverType=&quot;WBT&quot; EthernetAddress=&quot;009072061b0d&quot; Version=&quot;[0] Ethernet: 00:90:72:06:1B:0D&amp;#x0D;&amp;#x0A;[1] Parts-list: WBT 371790/F&amp;#x0D;&amp;#x0A;[2] Product: WBT&amp;#x0D;&amp;#x0A;IP Address: 157.237.15.100&amp;#x0D;&amp;#x0A;Subnet mask: 255.255.0.0&amp;#x0D;&amp;#x0A;Default gateway: 157.237.15.1&amp;#x0D;&amp;#x0A;Serial number: 400141&amp;#x0D;&amp;#x0A;Embedded software: Rev. 2.54&amp;#x0D;&amp;#x0A;FPGA TX firmware: Rev. 5&amp;#x0D;&amp;#x0A;FPGA RX firmware: Rev. 7&amp;#x0D;&amp;#x0A;CH1: 509W CH2: 498W CH3: 494W CH4: 499W&amp;#x0D;&amp;#x0A;TRD1: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD2: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD3: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD4: Unable to detect transducer&amp;#x0D;&amp;#x0A;&quot; TransceiverSoftwareVersion=&quot;2.54&quot; TransceiverNumber=&quot;1&quot;&gt;\\n            &lt;Channels&gt;\\n                &lt;Channel ChannelID=&quot;WBT 400141-15 ES18_ES&quot; LogicalChannelID=&quot;WBT 400141-15 ES18&quot; ChannelIdShort=&quot;ES18 Shimada&quot; MaxTxPowerTransceiver=&quot;2000&quot; HWChannelConfiguration=&quot;15&quot; PulseDuration=&quot;0.000512;0.001024;0.002048;0.004096;0.008192&quot;&gt;\\n                    &lt;Transducer TransducerName=&quot;ES18&quot; ArticleNumber=&quot;KSV-088694&quot; SerialNumber=&quot;0&quot; Frequency=&quot;18000&quot; FrequencyMinimum=&quot;18000&quot; FrequencyMaximum=&quot;18000&quot; MaxTxPowerTransducer=&quot;1000&quot; Gain=&quot;20.3;23.08;22.9;23;23&quot; SaCorrection=&quot;0;-0.07;0;0;0&quot; EquivalentBeamAngle=&quot;-17&quot; DirectivityDropAt2XBeamWidth=&quot;0&quot; AngleSensitivityAlongship=&quot;15.5&quot; AngleSensitivityAthwartship=&quot;15.5&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;-0.05&quot; BeamWidthAlongship=&quot;10.92&quot; BeamWidthAthwartship=&quot;10.6&quot; BeamType=&quot;1&quot; /&gt;\\n                &lt;/Channel&gt;\\n            &lt;/Channels&gt;\\n        &lt;/Transceiver&gt;\\n        &lt;Transceiver TransceiverName=&quot;WBT 400143&quot; IPAddress=&quot;157.237.15.104&quot; MarketSegment=&quot;Scientific&quot; SerialNumber=&quot;400143&quot; Impedance=&quot;5400&quot; Multiplexing=&quot;0&quot; RxSampleFrequency=&quot;1500000&quot; TransceiverType=&quot;WBT&quot; EthernetAddress=&quot;009072061b0f&quot; Version=&quot;[0] Ethernet: 00:90:72:06:1B:0F&amp;#x0D;&amp;#x0A;[1] Parts-list: WBT 371790/F&amp;#x0D;&amp;#x0A;[2] Product: WBT&amp;#x0D;&amp;#x0A;IP Address: 157.237.15.104&amp;#x0D;&amp;#x0A;Subnet mask: 255.255.0.0&amp;#x0D;&amp;#x0A;Default gateway: 157.237.15.1&amp;#x0D;&amp;#x0A;Serial number: 400143&amp;#x0D;&amp;#x0A;Embedded software: Rev. 2.54&amp;#x0D;&amp;#x0A;FPGA TX firmware: Rev. 5&amp;#x0D;&amp;#x0A;FPGA RX firmware: Rev. 7&amp;#x0D;&amp;#x0A;CH1: 514W CH2: 499W CH3: 491W CH4: 502W&amp;#x0D;&amp;#x0A;TRD1: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD2: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD3: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD4: Unable to detect transducer&amp;#x0D;&amp;#x0A;&quot; TransceiverSoftwareVersion=&quot;2.54&quot; TransceiverNumber=&quot;2&quot;&gt;\\n            &lt;Channels&gt;\\n                &lt;Channel ChannelID=&quot;WBT 400143-15 ES38B_ES&quot; LogicalChannelID=&quot;WBT 400143-15 ES38B&quot; ChannelIdShort=&quot;ES 38 Shimada&quot; MaxTxPowerTransceiver=&quot;2000&quot; HWChannelConfiguration=&quot;15&quot; PulseDuration=&quot;0.000256;0.000512;0.001024;0.002048;0.004096&quot;&gt;\\n                    &lt;Transducer TransducerName=&quot;ES38B&quot; SerialNumber=&quot;0&quot; Frequency=&quot;38000&quot; FrequencyMinimum=&quot;38000&quot; FrequencyMaximum=&quot;38000&quot; MaxTxPowerTransducer=&quot;2000&quot; Gain=&quot;23;25;26.46;25.5;25&quot; SaCorrection=&quot;0;0;-0.07;0;0&quot; EquivalentBeamAngle=&quot;-20.7&quot; DirectivityDropAt2XBeamWidth=&quot;0&quot; AngleSensitivityAlongship=&quot;23&quot; AngleSensitivityAthwartship=&quot;23&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;-0.17&quot; BeamWidthAlongship=&quot;6.71&quot; BeamWidthAthwartship=&quot;6.81&quot; BeamType=&quot;1&quot; /&gt;\\n                &lt;/Channel&gt;\\n            &lt;/Channels&gt;\\n        &lt;/Transceiver&gt;\\n        &lt;Transceiver TransceiverName=&quot;WBT 400142&quot; IPAddress=&quot;157.237.15.103&quot; MarketSegment=&quot;Scientific&quot; SerialNumber=&quot;400142&quot; Impedance=&quot;5400&quot; Multiplexing=&quot;0&quot; RxSampleFrequency=&quot;1500000&quot; TransceiverType=&quot;WBT&quot; EthernetAddress=&quot;009072061b0e&quot; Version=&quot;[0] Ethernet: 00:90:72:06:1B:0E&amp;#x0D;&amp;#x0A;[1] Parts-list: WBT 371790/F&amp;#x0D;&amp;#x0A;[2] Product: WBT&amp;#x0D;&amp;#x0A;IP Address: 157.237.15.103&amp;#x0D;&amp;#x0A;Subnet mask: 255.255.0.0&amp;#x0D;&amp;#x0A;Default gateway: 157.237.15.1&amp;#x0D;&amp;#x0A;Serial number: 400142&amp;#x0D;&amp;#x0A;Embedded software: Rev. 2.54&amp;#x0D;&amp;#x0A;FPGA TX firmware: Rev. 5&amp;#x0D;&amp;#x0A;FPGA RX firmware: Rev. 7&amp;#x0D;&amp;#x0A;CH1: 512W CH2: 502W CH3: 490W CH4: 509W&amp;#x0D;&amp;#x0A;TRD1: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD2: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD3: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD4: Unable to detect transducer&amp;#x0D;&amp;#x0A;&quot; TransceiverSoftwareVersion=&quot;2.54&quot; TransceiverNumber=&quot;3&quot;&gt;\\n            &lt;Channels&gt;\\n                &lt;Channel ChannelID=&quot;WBT 400142-15 ES70-7C_ES&quot; LogicalChannelID=&quot;WBT 400142-15 ES70-7C&quot; ChannelIdShort=&quot;ES70 Shimada&quot; MaxTxPowerTransceiver=&quot;2000&quot; HWChannelConfiguration=&quot;15&quot; PulseDuration=&quot;0.000128;0.000256;0.000512;0.001024;0.002048&quot; PulseDurationFM=&quot;0.000512;0.001024;0.002048;0.004096;0.008192&quot;&gt;\\n                    &lt;Transducer TransducerName=&quot;ES70-7C&quot; ArticleNumber=&quot;KSV-203678&quot; SerialNumber=&quot;0&quot; Frequency=&quot;70000&quot; FrequencyMinimum=&quot;45000&quot; FrequencyMaximum=&quot;90000&quot; MaxTxPowerTransducer=&quot;750&quot; Gain=&quot;27;27;27;28.1;27&quot; SaCorrection=&quot;0;0;0;-0.2;0&quot; EquivalentBeamAngle=&quot;-20.7&quot; DirectivityDropAt2XBeamWidth=&quot;0&quot; AngleSensitivityAlongship=&quot;23&quot; AngleSensitivityAthwartship=&quot;23&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0&quot; BeamWidthAlongship=&quot;6.55&quot; BeamWidthAthwartship=&quot;6.61&quot; BeamType=&quot;1&quot;&gt;\\n                        &lt;FrequencyPar Frequency=&quot;45000&quot; Gain=&quot;22.04&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;10.13&quot; BeamWidthAthwartship=&quot;9.87&quot; AngleOffsetAlongship=&quot;0.41&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;45473&quot; Gain=&quot;22.46&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;10.23&quot; BeamWidthAthwartship=&quot;10.09&quot; AngleOffsetAlongship=&quot;0.48&quot; AngleOffsetAthwartship=&quot;-0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;45947&quot; Gain=&quot;22.96&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;10.25&quot; BeamWidthAthwartship=&quot;10.07&quot; AngleOffsetAlongship=&quot;0.5&quot; AngleOffsetAthwartship=&quot;-0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;46420&quot; Gain=&quot;23.46&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.87&quot; BeamWidthAthwartship=&quot;9.9&quot; AngleOffsetAlongship=&quot;0.48&quot; AngleOffsetAthwartship=&quot;-0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;46894&quot; Gain=&quot;23.87&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.72&quot; BeamWidthAthwartship=&quot;9.8&quot; AngleOffsetAlongship=&quot;0.49&quot; AngleOffsetAthwartship=&quot;-0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;47367&quot; Gain=&quot;24.15&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.66&quot; BeamWidthAthwartship=&quot;9.64&quot; AngleOffsetAlongship=&quot;0.42&quot; AngleOffsetAthwartship=&quot;-0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;47841&quot; Gain=&quot;24.36&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.51&quot; BeamWidthAthwartship=&quot;9.53&quot; AngleOffsetAlongship=&quot;0.37&quot; AngleOffsetAthwartship=&quot;-0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;48314&quot; Gain=&quot;24.45&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.39&quot; BeamWidthAthwartship=&quot;9.39&quot; AngleOffsetAlongship=&quot;0.32&quot; AngleOffsetAthwartship=&quot;-0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;48788&quot; Gain=&quot;24.48&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.46&quot; BeamWidthAthwartship=&quot;9.19&quot; AngleOffsetAlongship=&quot;0.27&quot; AngleOffsetAthwartship=&quot;-0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;49261&quot; Gain=&quot;24.42&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.72&quot; BeamWidthAthwartship=&quot;9.09&quot; AngleOffsetAlongship=&quot;0.25&quot; AngleOffsetAthwartship=&quot;-0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;49735&quot; Gain=&quot;24.41&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.31&quot; BeamWidthAthwartship=&quot;9.11&quot; AngleOffsetAlongship=&quot;0.13&quot; AngleOffsetAthwartship=&quot;-0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;50208&quot; Gain=&quot;24.38&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.23&quot; BeamWidthAthwartship=&quot;8.97&quot; AngleOffsetAlongship=&quot;0.1&quot; AngleOffsetAthwartship=&quot;-0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;50682&quot; Gain=&quot;24.38&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.13&quot; BeamWidthAthwartship=&quot;8.88&quot; AngleOffsetAlongship=&quot;0.08&quot; AngleOffsetAthwartship=&quot;-0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;51155&quot; Gain=&quot;24.43&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.82&quot; BeamWidthAthwartship=&quot;8.85&quot; AngleOffsetAlongship=&quot;-0.01&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;51629&quot; Gain=&quot;24.48&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.95&quot; BeamWidthAthwartship=&quot;8.8&quot; AngleOffsetAlongship=&quot;-0.01&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;52102&quot; Gain=&quot;24.62&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.7&quot; BeamWidthAthwartship=&quot;8.64&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;52576&quot; Gain=&quot;24.7&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.54&quot; BeamWidthAthwartship=&quot;8.48&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;53049&quot; Gain=&quot;24.78&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.57&quot; BeamWidthAthwartship=&quot;8.41&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;53523&quot; Gain=&quot;24.8&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.67&quot; BeamWidthAthwartship=&quot;8.37&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;53996&quot; Gain=&quot;24.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.49&quot; BeamWidthAthwartship=&quot;8.29&quot; AngleOffsetAlongship=&quot;-0.04&quot; AngleOffsetAthwartship=&quot;0&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;54469&quot; Gain=&quot;24.88&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.24&quot; BeamWidthAthwartship=&quot;8.28&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;-0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;54943&quot; Gain=&quot;24.94&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.35&quot; BeamWidthAthwartship=&quot;8.22&quot; AngleOffsetAlongship=&quot;0&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;55416&quot; Gain=&quot;25.01&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.26&quot; BeamWidthAthwartship=&quot;8.16&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;55890&quot; Gain=&quot;25.08&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.21&quot; BeamWidthAthwartship=&quot;8.15&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;56363&quot; Gain=&quot;25.23&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.11&quot; BeamWidthAthwartship=&quot;8.01&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;56837&quot; Gain=&quot;25.37&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.06&quot; BeamWidthAthwartship=&quot;7.84&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;57310&quot; Gain=&quot;25.54&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.93&quot; BeamWidthAthwartship=&quot;7.79&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;57784&quot; Gain=&quot;25.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.9&quot; BeamWidthAthwartship=&quot;7.76&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;58257&quot; Gain=&quot;25.79&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.9&quot; BeamWidthAthwartship=&quot;7.71&quot; AngleOffsetAlongship=&quot;-0.04&quot; AngleOffsetAthwartship=&quot;-0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;58731&quot; Gain=&quot;25.92&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.62&quot; BeamWidthAthwartship=&quot;7.59&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;59204&quot; Gain=&quot;25.99&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.75&quot; BeamWidthAthwartship=&quot;7.52&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;59678&quot; Gain=&quot;26.05&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.73&quot; BeamWidthAthwartship=&quot;7.52&quot; AngleOffsetAlongship=&quot;-0.06&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;60151&quot; Gain=&quot;26.14&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.36&quot; BeamWidthAthwartship=&quot;7.5&quot; AngleOffsetAlongship=&quot;-0.04&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;60625&quot; Gain=&quot;26.23&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.45&quot; BeamWidthAthwartship=&quot;7.39&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;61098&quot; Gain=&quot;26.3&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.45&quot; BeamWidthAthwartship=&quot;7.31&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;61572&quot; Gain=&quot;26.46&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.28&quot; BeamWidthAthwartship=&quot;7.17&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;62045&quot; Gain=&quot;26.56&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.18&quot; BeamWidthAthwartship=&quot;7.14&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;62519&quot; Gain=&quot;26.7&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.18&quot; BeamWidthAthwartship=&quot;7.07&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;62992&quot; Gain=&quot;26.83&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.19&quot; BeamWidthAthwartship=&quot;6.94&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;63465&quot; Gain=&quot;26.96&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.17&quot; BeamWidthAthwartship=&quot;6.87&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;63939&quot; Gain=&quot;27.02&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.07&quot; BeamWidthAthwartship=&quot;6.96&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;64412&quot; Gain=&quot;27.09&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.05&quot; BeamWidthAthwartship=&quot;6.96&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;64886&quot; Gain=&quot;27.15&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.96&quot; BeamWidthAthwartship=&quot;6.85&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;65359&quot; Gain=&quot;27.22&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.79&quot; BeamWidthAthwartship=&quot;6.82&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;65833&quot; Gain=&quot;27.25&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.9&quot; BeamWidthAthwartship=&quot;6.8&quot; AngleOffsetAlongship=&quot;-0.06&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;66306&quot; Gain=&quot;27.32&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.78&quot; BeamWidthAthwartship=&quot;6.79&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;66780&quot; Gain=&quot;27.38&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.7&quot; BeamWidthAthwartship=&quot;6.73&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;67253&quot; Gain=&quot;27.46&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.72&quot; BeamWidthAthwartship=&quot;6.6&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;67727&quot; Gain=&quot;27.58&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.7&quot; BeamWidthAthwartship=&quot;6.53&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;68200&quot; Gain=&quot;27.69&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.57&quot; BeamWidthAthwartship=&quot;6.5&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;68674&quot; Gain=&quot;27.79&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.59&quot; BeamWidthAthwartship=&quot;6.47&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;69147&quot; Gain=&quot;27.95&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.52&quot; BeamWidthAthwartship=&quot;6.39&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;69621&quot; Gain=&quot;28.09&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.3&quot; BeamWidthAthwartship=&quot;6.28&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;70094&quot; Gain=&quot;28.14&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.4&quot; BeamWidthAthwartship=&quot;6.34&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;70568&quot; Gain=&quot;28.16&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.38&quot; BeamWidthAthwartship=&quot;6.32&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;71041&quot; Gain=&quot;28.24&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.25&quot; BeamWidthAthwartship=&quot;6.15&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;71515&quot; Gain=&quot;28.3&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.16&quot; BeamWidthAthwartship=&quot;6.05&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;71988&quot; Gain=&quot;28.19&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.14&quot; BeamWidthAthwartship=&quot;6.08&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;72461&quot; Gain=&quot;28.21&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.14&quot; BeamWidthAthwartship=&quot;6&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;72935&quot; Gain=&quot;28.3&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.97&quot; BeamWidthAthwartship=&quot;5.91&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;73408&quot; Gain=&quot;28.26&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.06&quot; BeamWidthAthwartship=&quot;5.87&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;73882&quot; Gain=&quot;28.36&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.94&quot; BeamWidthAthwartship=&quot;5.79&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;74355&quot; Gain=&quot;28.49&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.83&quot; BeamWidthAthwartship=&quot;5.79&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;74829&quot; Gain=&quot;28.49&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.94&quot; BeamWidthAthwartship=&quot;5.83&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;75302&quot; Gain=&quot;28.52&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.91&quot; BeamWidthAthwartship=&quot;5.77&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;75776&quot; Gain=&quot;28.65&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.84&quot; BeamWidthAthwartship=&quot;5.68&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;76249&quot; Gain=&quot;28.7&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.7&quot; BeamWidthAthwartship=&quot;5.66&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;76723&quot; Gain=&quot;28.61&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.84&quot; BeamWidthAthwartship=&quot;5.66&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;77196&quot; Gain=&quot;28.59&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.74&quot; BeamWidthAthwartship=&quot;5.63&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;77670&quot; Gain=&quot;28.63&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.63&quot; BeamWidthAthwartship=&quot;5.54&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;78143&quot; Gain=&quot;28.64&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.69&quot; BeamWidthAthwartship=&quot;5.49&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;78617&quot; Gain=&quot;28.61&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.6&quot; BeamWidthAthwartship=&quot;5.53&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;79090&quot; Gain=&quot;28.62&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.6&quot; BeamWidthAthwartship=&quot;5.45&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;79564&quot; Gain=&quot;28.74&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.53&quot; BeamWidthAthwartship=&quot;5.43&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;80037&quot; Gain=&quot;28.89&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.49&quot; BeamWidthAthwartship=&quot;5.45&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;80511&quot; Gain=&quot;29.12&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.34&quot; BeamWidthAthwartship=&quot;5.32&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;80984&quot; Gain=&quot;29.24&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.35&quot; BeamWidthAthwartship=&quot;5.27&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;81457&quot; Gain=&quot;29.35&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.29&quot; BeamWidthAthwartship=&quot;5.24&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;81931&quot; Gain=&quot;29.4&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.21&quot; BeamWidthAthwartship=&quot;5.16&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;82404&quot; Gain=&quot;29.42&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.25&quot; BeamWidthAthwartship=&quot;5.08&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;82878&quot; Gain=&quot;29.42&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.18&quot; BeamWidthAthwartship=&quot;5.12&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;83351&quot; Gain=&quot;29.42&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.24&quot; BeamWidthAthwartship=&quot;5.1&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;83825&quot; Gain=&quot;29.51&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.12&quot; BeamWidthAthwartship=&quot;5.04&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;84298&quot; Gain=&quot;29.57&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.12&quot; BeamWidthAthwartship=&quot;5&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;84772&quot; Gain=&quot;29.68&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.07&quot; BeamWidthAthwartship=&quot;4.92&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;85245&quot; Gain=&quot;29.81&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.94&quot; BeamWidthAthwartship=&quot;4.95&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;85719&quot; Gain=&quot;29.9&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.03&quot; BeamWidthAthwartship=&quot;4.93&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;86192&quot; Gain=&quot;30.12&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.92&quot; BeamWidthAthwartship=&quot;4.85&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;86666&quot; Gain=&quot;30.35&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.85&quot; BeamWidthAthwartship=&quot;4.79&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;87139&quot; Gain=&quot;30.65&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.76&quot; BeamWidthAthwartship=&quot;4.74&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;87613&quot; Gain=&quot;31.01&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.68&quot; BeamWidthAthwartship=&quot;4.67&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;88000&quot; Gain=&quot;31.2&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.78&quot; BeamWidthAthwartship=&quot;4.62&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                    &lt;/Transducer&gt;\\n                &lt;/Channel&gt;\\n            &lt;/Channels&gt;\\n        &lt;/Transceiver&gt;\\n        &lt;Transceiver TransceiverName=&quot;WBT 400140&quot; IPAddress=&quot;157.237.15.101&quot; MarketSegment=&quot;Scientific&quot; SerialNumber=&quot;400140&quot; Impedance=&quot;5400&quot; Multiplexing=&quot;0&quot; RxSampleFrequency=&quot;1500000&quot; TransceiverType=&quot;WBT&quot; EthernetAddress=&quot;009072061b0c&quot; Version=&quot;[0] Ethernet: 00:90:72:06:1B:0C&amp;#x0D;&amp;#x0A;[1] Parts-list: WBT 371790/F&amp;#x0D;&amp;#x0A;[2] Product: WBT&amp;#x0D;&amp;#x0A;IP Address: 157.237.15.101&amp;#x0D;&amp;#x0A;Subnet mask: 255.255.0.0&amp;#x0D;&amp;#x0A;Default gateway: 157.237.15.1&amp;#x0D;&amp;#x0A;Serial number: 400140&amp;#x0D;&amp;#x0A;Embedded software: Rev. 2.54&amp;#x0D;&amp;#x0A;FPGA TX firmware: Rev. 5&amp;#x0D;&amp;#x0A;FPGA RX firmware: Rev. 7&amp;#x0D;&amp;#x0A;CH1: 507W CH2: 489W CH3: 491W CH4: 486W&amp;#x0D;&amp;#x0A;TRD1: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD2: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD3: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD4: Unable to detect transducer&amp;#x0D;&amp;#x0A;&quot; TransceiverSoftwareVersion=&quot;2.54&quot; TransceiverNumber=&quot;4&quot;&gt;\\n            &lt;Channels&gt;\\n                &lt;Channel ChannelID=&quot;WBT 400140-15 ES120-7C_ES&quot; LogicalChannelID=&quot;WBT 400140-15 ES120-7C&quot; ChannelIdShort=&quot;ES120 Shimada&quot; MaxTxPowerTransceiver=&quot;2000&quot; HWChannelConfiguration=&quot;15&quot; PulseDuration=&quot;6.4E-05;0.000128;0.000256;0.000512;0.001024&quot; PulseDurationFM=&quot;0.000512;0.001024;0.002048;0.004096;0.008192&quot;&gt;\\n                    &lt;Transducer TransducerName=&quot;ES120-7C&quot; ArticleNumber=&quot;KSV-204580&quot; SerialNumber=&quot;0&quot; Frequency=&quot;120000&quot; FrequencyMinimum=&quot;90000&quot; FrequencyMaximum=&quot;170000&quot; MaxTxPowerTransducer=&quot;250&quot; Gain=&quot;27;27;27;27;26.76&quot; SaCorrection=&quot;0;0;0;0;-0.12&quot; EquivalentBeamAngle=&quot;-20.7&quot; DirectivityDropAt2XBeamWidth=&quot;0&quot; AngleSensitivityAlongship=&quot;23&quot; AngleSensitivityAthwartship=&quot;23&quot; AngleOffsetAlongship=&quot;-0.04&quot; AngleOffsetAthwartship=&quot;0.17&quot; BeamWidthAlongship=&quot;6.63&quot; BeamWidthAthwartship=&quot;6.74&quot; BeamType=&quot;1&quot;&gt;\\n                        &lt;FrequencyPar Frequency=&quot;95237&quot; Gain=&quot;25.45&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.81&quot; BeamWidthAthwartship=&quot;8.17&quot; AngleOffsetAlongship=&quot;0.02&quot; AngleOffsetAthwartship=&quot;-0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;95699&quot; Gain=&quot;25.44&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.99&quot; BeamWidthAthwartship=&quot;8.17&quot; AngleOffsetAlongship=&quot;0.07&quot; AngleOffsetAthwartship=&quot;-0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;96162&quot; Gain=&quot;25.4&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.72&quot; BeamWidthAthwartship=&quot;8.39&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;-0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;96624&quot; Gain=&quot;25.63&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.31&quot; BeamWidthAthwartship=&quot;8.06&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;-0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;97087&quot; Gain=&quot;25.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.67&quot; BeamWidthAthwartship=&quot;7.96&quot; AngleOffsetAlongship=&quot;-0.03&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;97549&quot; Gain=&quot;25.85&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8&quot; BeamWidthAthwartship=&quot;8.09&quot; AngleOffsetAlongship=&quot;0&quot; AngleOffsetAthwartship=&quot;0&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;98012&quot; Gain=&quot;25.85&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.64&quot; BeamWidthAthwartship=&quot;8.03&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;98474&quot; Gain=&quot;26.07&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.02&quot; BeamWidthAthwartship=&quot;8.03&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;98936&quot; Gain=&quot;26.16&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.65&quot; BeamWidthAthwartship=&quot;7.88&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;99399&quot; Gain=&quot;26.01&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8&quot; BeamWidthAthwartship=&quot;7.8&quot; AngleOffsetAlongship=&quot;0.05&quot; AngleOffsetAthwartship=&quot;-0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;99861&quot; Gain=&quot;25.9&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.23&quot; BeamWidthAthwartship=&quot;7.81&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;100324&quot; Gain=&quot;25.92&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.75&quot; BeamWidthAthwartship=&quot;7.77&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;100786&quot; Gain=&quot;25.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.43&quot; BeamWidthAthwartship=&quot;7.6&quot; AngleOffsetAlongship=&quot;0.07&quot; AngleOffsetAthwartship=&quot;0&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;101249&quot; Gain=&quot;25.77&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.81&quot; BeamWidthAthwartship=&quot;7.63&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;101711&quot; Gain=&quot;25.8&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.83&quot; BeamWidthAthwartship=&quot;7.69&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;102174&quot; Gain=&quot;25.89&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.59&quot; BeamWidthAthwartship=&quot;7.66&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;102636&quot; Gain=&quot;25.99&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.59&quot; BeamWidthAthwartship=&quot;7.59&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;103099&quot; Gain=&quot;26.03&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.68&quot; BeamWidthAthwartship=&quot;7.6&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;103561&quot; Gain=&quot;26.11&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.76&quot; BeamWidthAthwartship=&quot;7.62&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;104024&quot; Gain=&quot;26.23&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.51&quot; BeamWidthAthwartship=&quot;7.46&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;104486&quot; Gain=&quot;26.24&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.46&quot; BeamWidthAthwartship=&quot;7.43&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;104948&quot; Gain=&quot;26.17&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.52&quot; BeamWidthAthwartship=&quot;7.4&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;105411&quot; Gain=&quot;26.07&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.45&quot; BeamWidthAthwartship=&quot;7.36&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;105873&quot; Gain=&quot;26.02&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.33&quot; BeamWidthAthwartship=&quot;7.32&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;106336&quot; Gain=&quot;25.93&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.34&quot; BeamWidthAthwartship=&quot;7.28&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;106798&quot; Gain=&quot;25.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.42&quot; BeamWidthAthwartship=&quot;7.3&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;107261&quot; Gain=&quot;25.87&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.41&quot; BeamWidthAthwartship=&quot;7.31&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;107723&quot; Gain=&quot;25.92&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.46&quot; BeamWidthAthwartship=&quot;7.3&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;108186&quot; Gain=&quot;26.07&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.53&quot; BeamWidthAthwartship=&quot;7.27&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;108648&quot; Gain=&quot;26.17&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.37&quot; BeamWidthAthwartship=&quot;7.29&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;109111&quot; Gain=&quot;26.29&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.37&quot; BeamWidthAthwartship=&quot;7.28&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;109573&quot; Gain=&quot;26.35&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.47&quot; BeamWidthAthwartship=&quot;7.13&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;110036&quot; Gain=&quot;26.38&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.38&quot; BeamWidthAthwartship=&quot;7.08&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;110498&quot; Gain=&quot;26.38&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.18&quot; BeamWidthAthwartship=&quot;7.16&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;110960&quot; Gain=&quot;26.26&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.26&quot; BeamWidthAthwartship=&quot;7.11&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;111423&quot; Gain=&quot;26.21&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.36&quot; BeamWidthAthwartship=&quot;7.16&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;111885&quot; Gain=&quot;26.16&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.17&quot; BeamWidthAthwartship=&quot;7.06&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;112348&quot; Gain=&quot;26.23&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.12&quot; BeamWidthAthwartship=&quot;7.05&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;112810&quot; Gain=&quot;26.25&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.1&quot; BeamWidthAthwartship=&quot;7.03&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;113273&quot; Gain=&quot;26.45&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.02&quot; BeamWidthAthwartship=&quot;7&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;113735&quot; Gain=&quot;26.64&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.96&quot; BeamWidthAthwartship=&quot;6.9&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;119285&quot; Gain=&quot;26.83&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.67&quot; BeamWidthAthwartship=&quot;6.63&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;119747&quot; Gain=&quot;26.97&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.54&quot; BeamWidthAthwartship=&quot;6.5&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;120210&quot; Gain=&quot;27.11&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.49&quot; BeamWidthAthwartship=&quot;6.49&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;120672&quot; Gain=&quot;27.24&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.41&quot; BeamWidthAthwartship=&quot;6.42&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;121135&quot; Gain=&quot;27.25&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.31&quot; BeamWidthAthwartship=&quot;6.34&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;121597&quot; Gain=&quot;27.27&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.3&quot; BeamWidthAthwartship=&quot;6.34&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;122060&quot; Gain=&quot;27.13&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.34&quot; BeamWidthAthwartship=&quot;6.27&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;122522&quot; Gain=&quot;27.05&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.34&quot; BeamWidthAthwartship=&quot;6.27&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;122984&quot; Gain=&quot;26.94&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.33&quot; BeamWidthAthwartship=&quot;6.25&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;123447&quot; Gain=&quot;26.88&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.44&quot; BeamWidthAthwartship=&quot;6.23&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;123909&quot; Gain=&quot;26.87&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.52&quot; BeamWidthAthwartship=&quot;6.23&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;124372&quot; Gain=&quot;26.92&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.42&quot; BeamWidthAthwartship=&quot;6.27&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;124834&quot; Gain=&quot;27.13&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.29&quot; BeamWidthAthwartship=&quot;6.22&quot; AngleOffsetAlongship=&quot;-0.22&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;125297&quot; Gain=&quot;27.29&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.31&quot; BeamWidthAthwartship=&quot;6.17&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;125759&quot; Gain=&quot;27.47&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.28&quot; BeamWidthAthwartship=&quot;6.14&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;126222&quot; Gain=&quot;27.62&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.12&quot; BeamWidthAthwartship=&quot;6.08&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.2&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;126684&quot; Gain=&quot;27.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.06&quot; BeamWidthAthwartship=&quot;5.99&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;127147&quot; Gain=&quot;27.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.1&quot; BeamWidthAthwartship=&quot;6&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;127609&quot; Gain=&quot;27.57&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.14&quot; BeamWidthAthwartship=&quot;5.96&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;128072&quot; Gain=&quot;27.54&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.04&quot; BeamWidthAthwartship=&quot;5.85&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;128534&quot; Gain=&quot;27.45&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.09&quot; BeamWidthAthwartship=&quot;5.87&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;128996&quot; Gain=&quot;27.37&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.21&quot; BeamWidthAthwartship=&quot;5.92&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;129459&quot; Gain=&quot;27.39&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.17&quot; BeamWidthAthwartship=&quot;5.95&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;129921&quot; Gain=&quot;27.52&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.01&quot; BeamWidthAthwartship=&quot;6&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.21&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;130384&quot; Gain=&quot;27.67&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.03&quot; BeamWidthAthwartship=&quot;5.94&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;130846&quot; Gain=&quot;27.87&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.04&quot; BeamWidthAthwartship=&quot;5.87&quot; AngleOffsetAlongship=&quot;-0.22&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;131309&quot; Gain=&quot;28.01&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.86&quot; BeamWidthAthwartship=&quot;5.79&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;131771&quot; Gain=&quot;28.12&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.8&quot; BeamWidthAthwartship=&quot;5.83&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;132234&quot; Gain=&quot;28.08&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.84&quot; BeamWidthAthwartship=&quot;5.78&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;132696&quot; Gain=&quot;28&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.83&quot; BeamWidthAthwartship=&quot;5.68&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;133159&quot; Gain=&quot;27.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.88&quot; BeamWidthAthwartship=&quot;5.66&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;133621&quot; Gain=&quot;27.52&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.83&quot; BeamWidthAthwartship=&quot;5.72&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;140096&quot; Gain=&quot;26.98&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.5&quot; BeamWidthAthwartship=&quot;5.39&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;140558&quot; Gain=&quot;26.93&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.45&quot; BeamWidthAthwartship=&quot;5.42&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;141021&quot; Gain=&quot;26.93&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.52&quot; BeamWidthAthwartship=&quot;5.36&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;141483&quot; Gain=&quot;27.01&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.45&quot; BeamWidthAthwartship=&quot;5.32&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;141945&quot; Gain=&quot;27.16&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.36&quot; BeamWidthAthwartship=&quot;5.33&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;142408&quot; Gain=&quot;27.39&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.3&quot; BeamWidthAthwartship=&quot;5.28&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;142870&quot; Gain=&quot;27.67&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.29&quot; BeamWidthAthwartship=&quot;5.26&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.2&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;143333&quot; Gain=&quot;27.97&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.31&quot; BeamWidthAthwartship=&quot;5.18&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;143795&quot; Gain=&quot;28.13&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.24&quot; BeamWidthAthwartship=&quot;5.19&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;144258&quot; Gain=&quot;28.09&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.25&quot; BeamWidthAthwartship=&quot;5.19&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;144720&quot; Gain=&quot;27.98&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.25&quot; BeamWidthAthwartship=&quot;5.17&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;145183&quot; Gain=&quot;27.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.19&quot; BeamWidthAthwartship=&quot;5.15&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;145645&quot; Gain=&quot;27.77&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.2&quot; BeamWidthAthwartship=&quot;5.07&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;146108&quot; Gain=&quot;27.75&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.16&quot; BeamWidthAthwartship=&quot;5&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;146570&quot; Gain=&quot;27.71&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.13&quot; BeamWidthAthwartship=&quot;5.07&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;147033&quot; Gain=&quot;27.74&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.07&quot; BeamWidthAthwartship=&quot;5.03&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;147495&quot; Gain=&quot;27.8&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.95&quot; BeamWidthAthwartship=&quot;5.01&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;147957&quot; Gain=&quot;27.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.95&quot; BeamWidthAthwartship=&quot;4.96&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;148420&quot; Gain=&quot;27.96&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.97&quot; BeamWidthAthwartship=&quot;4.92&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;148882&quot; Gain=&quot;28&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.95&quot; BeamWidthAthwartship=&quot;4.92&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;149345&quot; Gain=&quot;28.04&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.9&quot; BeamWidthAthwartship=&quot;4.91&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;149807&quot; Gain=&quot;28&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.92&quot; BeamWidthAthwartship=&quot;4.88&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;150270&quot; Gain=&quot;27.89&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.89&quot; BeamWidthAthwartship=&quot;4.88&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;150732&quot; Gain=&quot;27.78&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.84&quot; BeamWidthAthwartship=&quot;4.89&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;151195&quot; Gain=&quot;27.74&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.81&quot; BeamWidthAthwartship=&quot;4.78&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;151657&quot; Gain=&quot;27.67&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.84&quot; BeamWidthAthwartship=&quot;4.79&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;152120&quot; Gain=&quot;27.68&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.84&quot; BeamWidthAthwartship=&quot;4.79&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;152582&quot; Gain=&quot;27.75&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.79&quot; BeamWidthAthwartship=&quot;4.85&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.2&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;153045&quot; Gain=&quot;27.88&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.8&quot; BeamWidthAthwartship=&quot;4.82&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.23&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;153507&quot; Gain=&quot;28.02&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.79&quot; BeamWidthAthwartship=&quot;4.8&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.2&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;153969&quot; Gain=&quot;28.17&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.74&quot; BeamWidthAthwartship=&quot;4.78&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.21&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;154432&quot; Gain=&quot;28.32&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.71&quot; BeamWidthAthwartship=&quot;4.74&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;154894&quot; Gain=&quot;28.47&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.73&quot; BeamWidthAthwartship=&quot;4.72&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;155357&quot; Gain=&quot;28.55&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.7&quot; BeamWidthAthwartship=&quot;4.78&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;155819&quot; Gain=&quot;28.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.71&quot; BeamWidthAthwartship=&quot;4.7&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;156282&quot; Gain=&quot;28.71&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.67&quot; BeamWidthAthwartship=&quot;4.75&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;156744&quot; Gain=&quot;28.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.67&quot; BeamWidthAthwartship=&quot;4.71&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;157207&quot; Gain=&quot;28.54&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.69&quot; BeamWidthAthwartship=&quot;4.67&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;157669&quot; Gain=&quot;28.36&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.54&quot; BeamWidthAthwartship=&quot;4.75&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;158000&quot; Gain=&quot;28.29&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.54&quot; BeamWidthAthwartship=&quot;4.66&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                    &lt;/Transducer&gt;\\n                &lt;/Channel&gt;\\n            &lt;/Channels&gt;\\n        &lt;/Transceiver&gt;\\n        &lt;Transceiver TransceiverName=&quot;WBT 400145&quot; IPAddress=&quot;157.237.15.105&quot; MarketSegment=&quot;Scientific&quot; SerialNumber=&quot;400145&quot; Impedance=&quot;5400&quot; Multiplexing=&quot;0&quot; RxSampleFrequency=&quot;1500000&quot; TransceiverType=&quot;WBT&quot; EthernetAddress=&quot;009072061b11&quot; Version=&quot;[0] Ethernet: 00:90:72:06:1B:11&amp;#x0D;&amp;#x0A;[1] Parts-list: WBT 371790/F&amp;#x0D;&amp;#x0A;[2] Product: WBT&amp;#x0D;&amp;#x0A;IP Address: 157.237.15.105&amp;#x0D;&amp;#x0A;Subnet mask: 255.255.0.0&amp;#x0D;&amp;#x0A;Default gateway: 157.237.15.1&amp;#x0D;&amp;#x0A;Serial number: 400145&amp;#x0D;&amp;#x0A;Embedded software: Rev. 2.54&amp;#x0D;&amp;#x0A;FPGA TX firmware: Rev. 5&amp;#x0D;&amp;#x0A;FPGA RX firmware: Rev. 7&amp;#x0D;&amp;#x0A;CH1: 518W CH2: 515W CH3: 510W CH4: 509W&amp;#x0D;&amp;#x0A;TRD1: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD2: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD3: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD4: Unable to detect transducer&amp;#x0D;&amp;#x0A;&quot; TransceiverSoftwareVersion=&quot;2.54&quot; TransceiverNumber=&quot;5&quot;&gt;\\n            &lt;Channels&gt;\\n                &lt;Channel ChannelID=&quot;WBT 400145-15 ES200-7C_ES&quot; LogicalChannelID=&quot;WBT 400145-15 ES200-7C&quot; ChannelIdShort=&quot;ES200 Shimada&quot; MaxTxPowerTransceiver=&quot;2000&quot; HWChannelConfiguration=&quot;15&quot; PulseDuration=&quot;6.4E-05;0.000128;0.000256;0.000512;0.001024&quot; PulseDurationFM=&quot;0.000512;0.001024;0.002048;0.004096;0.008192&quot;&gt;\\n                    &lt;Transducer TransducerName=&quot;ES200-7C&quot; ArticleNumber=&quot;KSV-203003&quot; SerialNumber=&quot;0&quot; Frequency=&quot;200000&quot; FrequencyMinimum=&quot;160000&quot; FrequencyMaximum=&quot;260000&quot; MaxTxPowerTransducer=&quot;150&quot; Gain=&quot;26;26;26;26;27.55&quot; SaCorrection=&quot;0;0;0;0;-0.09&quot; EquivalentBeamAngle=&quot;-20.7&quot; DirectivityDropAt2XBeamWidth=&quot;0&quot; AngleSensitivityAlongship=&quot;23&quot; AngleSensitivityAthwartship=&quot;23&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.25&quot; BeamWidthAlongship=&quot;6.79&quot; BeamWidthAthwartship=&quot;6.07&quot; BeamType=&quot;1&quot;&gt;\\n                        &lt;FrequencyPar Frequency=&quot;162000&quot; Gain=&quot;24.16&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;11.32&quot; BeamWidthAthwartship=&quot;7.77&quot; AngleOffsetAlongship=&quot;0.9&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;162981&quot; Gain=&quot;24.84&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.04&quot; BeamWidthAthwartship=&quot;7.06&quot; AngleOffsetAlongship=&quot;0.17&quot; AngleOffsetAthwartship=&quot;0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;163962&quot; Gain=&quot;25.38&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;10.95&quot; BeamWidthAthwartship=&quot;7.62&quot; AngleOffsetAlongship=&quot;0.22&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;164943&quot; Gain=&quot;28.08&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.84&quot; BeamWidthAthwartship=&quot;7.8&quot; AngleOffsetAlongship=&quot;-0.04&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;165924&quot; Gain=&quot;24.69&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.95&quot; BeamWidthAthwartship=&quot;7.79&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.2&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;166905&quot; Gain=&quot;25.39&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.15&quot; BeamWidthAthwartship=&quot;7.63&quot; AngleOffsetAlongship=&quot;-0.22&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;167886&quot; Gain=&quot;25.48&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.08&quot; BeamWidthAthwartship=&quot;7.1&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;168867&quot; Gain=&quot;25.8&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.66&quot; BeamWidthAthwartship=&quot;7.52&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;169848&quot; Gain=&quot;26.26&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.2&quot; BeamWidthAthwartship=&quot;7.14&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;179658&quot; Gain=&quot;26.42&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.82&quot; BeamWidthAthwartship=&quot;7.74&quot; AngleOffsetAlongship=&quot;-0.03&quot; AngleOffsetAthwartship=&quot;0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;180639&quot; Gain=&quot;26.71&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.73&quot; BeamWidthAthwartship=&quot;8.09&quot; AngleOffsetAlongship=&quot;0.05&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;181620&quot; Gain=&quot;27.17&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.15&quot; BeamWidthAthwartship=&quot;7.69&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;182601&quot; Gain=&quot;27.17&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.46&quot; BeamWidthAthwartship=&quot;7.88&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;183582&quot; Gain=&quot;26.95&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.12&quot; BeamWidthAthwartship=&quot;7.45&quot; AngleOffsetAlongship=&quot;-0.06&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;184563&quot; Gain=&quot;26.61&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.79&quot; BeamWidthAthwartship=&quot;7.82&quot; AngleOffsetAlongship=&quot;-0.03&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;185544&quot; Gain=&quot;26.83&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.15&quot; BeamWidthAthwartship=&quot;7.15&quot; AngleOffsetAlongship=&quot;0.03&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;186525&quot; Gain=&quot;27.31&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.15&quot; BeamWidthAthwartship=&quot;7.16&quot; AngleOffsetAlongship=&quot;0.03&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;187506&quot; Gain=&quot;27.62&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.74&quot; BeamWidthAthwartship=&quot;7.2&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;188486&quot; Gain=&quot;27.57&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.91&quot; BeamWidthAthwartship=&quot;7.33&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;189467&quot; Gain=&quot;27.29&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.59&quot; BeamWidthAthwartship=&quot;7.21&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;190448&quot; Gain=&quot;27.07&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.13&quot; BeamWidthAthwartship=&quot;7.25&quot; AngleOffsetAlongship=&quot;0.01&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;191429&quot; Gain=&quot;27.44&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.38&quot; BeamWidthAthwartship=&quot;6.6&quot; AngleOffsetAlongship=&quot;0.01&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;192410&quot; Gain=&quot;27.7&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.62&quot; BeamWidthAthwartship=&quot;7.05&quot; AngleOffsetAlongship=&quot;-0.01&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;193391&quot; Gain=&quot;27.83&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.38&quot; BeamWidthAthwartship=&quot;6.88&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;194372&quot; Gain=&quot;27.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.35&quot; BeamWidthAthwartship=&quot;6.75&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;195353&quot; Gain=&quot;27.31&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.03&quot; BeamWidthAthwartship=&quot;6.89&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;196334&quot; Gain=&quot;27.31&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.15&quot; BeamWidthAthwartship=&quot;6.5&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;197315&quot; Gain=&quot;27.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.02&quot; BeamWidthAthwartship=&quot;6.58&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;198296&quot; Gain=&quot;27.98&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.87&quot; BeamWidthAthwartship=&quot;6.45&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;199277&quot; Gain=&quot;27.99&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.23&quot; BeamWidthAthwartship=&quot;6.43&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;200258&quot; Gain=&quot;27.73&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.28&quot; BeamWidthAthwartship=&quot;6.57&quot; AngleOffsetAlongship=&quot;-0.22&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;201239&quot; Gain=&quot;27.53&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.05&quot; BeamWidthAthwartship=&quot;6.32&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;202220&quot; Gain=&quot;27.72&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.03&quot; BeamWidthAthwartship=&quot;6.31&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;203201&quot; Gain=&quot;28.02&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.77&quot; BeamWidthAthwartship=&quot;6.44&quot; AngleOffsetAlongship=&quot;0.07&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;204182&quot; Gain=&quot;28.29&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.39&quot; BeamWidthAthwartship=&quot;6.28&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;205163&quot; Gain=&quot;28.13&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.32&quot; BeamWidthAthwartship=&quot;6.73&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;206144&quot; Gain=&quot;27.84&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.03&quot; BeamWidthAthwartship=&quot;6.35&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;215954&quot; Gain=&quot;28.94&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.61&quot; BeamWidthAthwartship=&quot;6.01&quot; AngleOffsetAlongship=&quot;0.05&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;216935&quot; Gain=&quot;28.81&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.67&quot; BeamWidthAthwartship=&quot;6.17&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;217916&quot; Gain=&quot;28.46&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.51&quot; BeamWidthAthwartship=&quot;6.11&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;218897&quot; Gain=&quot;28.19&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.81&quot; BeamWidthAthwartship=&quot;5.8&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;219878&quot; Gain=&quot;28.44&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.46&quot; BeamWidthAthwartship=&quot;5.9&quot; AngleOffsetAlongship=&quot;0.08&quot; AngleOffsetAthwartship=&quot;0.2&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;220859&quot; Gain=&quot;28.89&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.3&quot; BeamWidthAthwartship=&quot;5.74&quot; AngleOffsetAlongship=&quot;0.07&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;221840&quot; Gain=&quot;29.07&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.24&quot; BeamWidthAthwartship=&quot;5.88&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;222821&quot; Gain=&quot;28.78&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.7&quot; BeamWidthAthwartship=&quot;6.13&quot; AngleOffsetAlongship=&quot;0.03&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;223802&quot; Gain=&quot;27.5&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.33&quot; BeamWidthAthwartship=&quot;6.05&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;224783&quot; Gain=&quot;26.81&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.37&quot; BeamWidthAthwartship=&quot;6.02&quot; AngleOffsetAlongship=&quot;0.04&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;225764&quot; Gain=&quot;27.19&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.02&quot; BeamWidthAthwartship=&quot;5.78&quot; AngleOffsetAlongship=&quot;0.02&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;226745&quot; Gain=&quot;27.7&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.76&quot; BeamWidthAthwartship=&quot;5.68&quot; AngleOffsetAlongship=&quot;0.17&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;227726&quot; Gain=&quot;28.74&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.17&quot; BeamWidthAthwartship=&quot;5.83&quot; AngleOffsetAlongship=&quot;-0.04&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;228707&quot; Gain=&quot;28.36&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.35&quot; BeamWidthAthwartship=&quot;5.95&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;229688&quot; Gain=&quot;27.99&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.1&quot; BeamWidthAthwartship=&quot;5.69&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;230669&quot; Gain=&quot;28.06&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.22&quot; BeamWidthAthwartship=&quot;5.86&quot; AngleOffsetAlongship=&quot;0.12&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;231650&quot; Gain=&quot;28.44&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.06&quot; BeamWidthAthwartship=&quot;5.8&quot; AngleOffsetAlongship=&quot;0.04&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;232631&quot; Gain=&quot;28.68&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.15&quot; BeamWidthAthwartship=&quot;5.67&quot; AngleOffsetAlongship=&quot;-0.01&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;233612&quot; Gain=&quot;28.53&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.24&quot; BeamWidthAthwartship=&quot;5.71&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;234593&quot; Gain=&quot;27.93&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.78&quot; BeamWidthAthwartship=&quot;6.11&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;235574&quot; Gain=&quot;27.9&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.6&quot; BeamWidthAthwartship=&quot;5.77&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;236555&quot; Gain=&quot;28.31&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.15&quot; BeamWidthAthwartship=&quot;5.55&quot; AngleOffsetAlongship=&quot;0&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;237536&quot; Gain=&quot;28.77&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.98&quot; BeamWidthAthwartship=&quot;5.49&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;238517&quot; Gain=&quot;28.81&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.6&quot; BeamWidthAthwartship=&quot;5.29&quot; AngleOffsetAlongship=&quot;-0.25&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;239497&quot; Gain=&quot;28.41&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.25&quot; BeamWidthAthwartship=&quot;5.91&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;240478&quot; Gain=&quot;28.33&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.95&quot; BeamWidthAthwartship=&quot;5.55&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;241459&quot; Gain=&quot;28.35&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.85&quot; BeamWidthAthwartship=&quot;5.38&quot; AngleOffsetAlongship=&quot;0.02&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                    &lt;/Transducer&gt;\\n                &lt;/Channel&gt;\\n            &lt;/Channels&gt;\\n        &lt;/Transceiver&gt;\\n    &lt;/Transceivers&gt;\\n    &lt;Transducers MergeOperation=&quot;AddNodeTree&quot;&gt;\\n        &lt;Transducer TransducerName=&quot;ES18&quot; TransducerSerialNumber=&quot;0&quot; TransducerCustomName=&quot;ES18 Shimada&quot; TransducerMounting=&quot;DropKeel&quot; TransducerOrientation=&quot;Vertical&quot; TransducerOffsetX=&quot;0&quot; TransducerOffsetY=&quot;0&quot; TransducerOffsetZ=&quot;0&quot; TransducerAlphaX=&quot;0&quot; TransducerAlphaY=&quot;0&quot; TransducerAlphaZ=&quot;0&quot; /&gt;\\n        &lt;Transducer TransducerName=&quot;ES38B&quot; TransducerSerialNumber=&quot;0&quot; TransducerCustomName=&quot;ES 38 Shimada&quot; TransducerMounting=&quot;DropKeel&quot; TransducerOrientation=&quot;Vertical&quot; TransducerOffsetX=&quot;0&quot; TransducerOffsetY=&quot;0&quot; TransducerOffsetZ=&quot;0&quot; TransducerAlphaX=&quot;0&quot; TransducerAlphaY=&quot;0&quot; TransducerAlphaZ=&quot;0&quot; /&gt;\\n        &lt;Transducer TransducerName=&quot;ES70-7C&quot; TransducerSerialNumber=&quot;0&quot; TransducerCustomName=&quot;ES70 Shimada&quot; TransducerMounting=&quot;DropKeel&quot; TransducerOrientation=&quot;Vertical&quot; TransducerOffsetX=&quot;0&quot; TransducerOffsetY=&quot;0&quot; TransducerOffsetZ=&quot;0&quot; TransducerAlphaX=&quot;0&quot; TransducerAlphaY=&quot;0&quot; TransducerAlphaZ=&quot;0&quot; /&gt;\\n        &lt;Transducer TransducerName=&quot;ES120-7C&quot; TransducerSerialNumber=&quot;0&quot; TransducerCustomName=&quot;ES120 Shimada&quot; TransducerMounting=&quot;DropKeel&quot; TransducerOrientation=&quot;Vertical&quot; TransducerOffsetX=&quot;0&quot; TransducerOffsetY=&quot;0&quot; TransducerOffsetZ=&quot;0&quot; TransducerAlphaX=&quot;0&quot; TransducerAlphaY=&quot;0&quot; TransducerAlphaZ=&quot;0&quot; /&gt;\\n        &lt;Transducer TransducerName=&quot;ES200-7C&quot; TransducerSerialNumber=&quot;0&quot; TransducerCustomName=&quot;ES200 Shimada&quot; TransducerMounting=&quot;DropKeel&quot; TransducerOrientation=&quot;Vertical&quot; TransducerOffsetX=&quot;0&quot; TransducerOffsetY=&quot;0&quot; TransducerOffsetZ=&quot;0&quot; TransducerAlphaX=&quot;0&quot; TransducerAlphaY=&quot;0&quot; TransducerAlphaZ=&quot;0&quot; /&gt;\\n    &lt;/Transducers&gt;\\n    &lt;ConfiguredSensors MergeOperation=&quot;AddNodeTree&quot;&gt;\\n        &lt;Sensor Name=&quot; Furuno GPS From Serial Port 8&quot; Type=&quot;GPS&quot; Port=&quot;Serial Port 8&quot; TalkerID=&quot;&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;GLL from  Furuno GPS From Serial Port 8&quot; SensorType=&quot;GPS&quot; Type=&quot;GLL&quot; SubscriptionPath=&quot; Furuno GPS From Serial Port 8@GPS.Geographical.Position&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Latitude&quot; Priority=&quot;3&quot; /&gt;\\n                &lt;Value Name=&quot;Longitude&quot; Priority=&quot;3&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;GGA from  Furuno GPS From Serial Port 8&quot; SensorType=&quot;GPS&quot; Type=&quot;GGA&quot; SubscriptionPath=&quot; Furuno GPS From Serial Port 8@GPS.Global.Position&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Latitude&quot; Priority=&quot;4&quot; /&gt;\\n                &lt;Value Name=&quot;Longitude&quot; Priority=&quot;4&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;RMC from  Furuno GPS From Serial Port 8&quot; SensorType=&quot;GPS&quot; Type=&quot;RMC&quot; SubscriptionPath=&quot; Furuno GPS From Serial Port 8@GPS.Specific.PositionSpeedCourse&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Latitude&quot; Priority=&quot;5&quot; /&gt;\\n                &lt;Value Name=&quot;Longitude&quot; Priority=&quot;5&quot; /&gt;\\n                &lt;Value Name=&quot;Course&quot; Priority=&quot;7&quot; /&gt;\\n                &lt;Value Name=&quot;Speed&quot; Priority=&quot;3&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;VTG from  Furuno GPS From Serial Port 8&quot; SensorType=&quot;GPS&quot; Type=&quot;VTG&quot; SubscriptionPath=&quot; Furuno GPS From Serial Port 8@GPS.Ground&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Course&quot; Priority=&quot;8&quot; /&gt;\\n                &lt;Value Name=&quot;CourseNotUsedMagnetic&quot; Priority=&quot;1&quot; /&gt;\\n                &lt;Value Name=&quot;Speed&quot; Priority=&quot;4&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;ZDA from  Furuno GPS From Serial Port 8&quot; SensorType=&quot;GPS&quot; Type=&quot;ZDA&quot; SubscriptionPath=&quot; Furuno GPS From Serial Port 8@GPS.TimeInfo&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;TimeInfo&quot; Priority=&quot;1&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n        &lt;Sensor Name=&quot;Gyro From POS/MV Serial Port 13&quot; Type=&quot;Gyro&quot; Port=&quot;Serial Port 13&quot; TalkerID=&quot;&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;HDT from Gyro From POS/MV Serial Port 13&quot; SensorType=&quot;Gyro&quot; Type=&quot;HDT&quot; SubscriptionPath=&quot;Gyro From POS/MV Serial Port 13@Gyro.HeadingTrue&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Heading&quot; Priority=&quot;1&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;HDM from Gyro From POS/MV Serial Port 13&quot; SensorType=&quot;Gyro&quot; Type=&quot;HDM&quot; SubscriptionPath=&quot;Gyro From POS/MV Serial Port 13@Gyro.HeadingMagnetic&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Heading&quot; Priority=&quot;2&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;HDG from Gyro From POS/MV Serial Port 13&quot; SensorType=&quot;Gyro&quot; Type=&quot;HDG&quot; SubscriptionPath=&quot;Gyro From POS/MV Serial Port 13@Gyro.HeadingMagneticDeviation&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Heading&quot; Priority=&quot;4&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;THS from Gyro From POS/MV Serial Port 13&quot; SensorType=&quot;Gyro&quot; Type=&quot;THS&quot; SubscriptionPath=&quot;Gyro From POS/MV Serial Port 13@Gyro.HeadingTrueStatus&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Heading&quot; Priority=&quot;6&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n        &lt;Sensor Name=&quot;ITI-FS From FS70&quot; Type=&quot;ITI-FS&quot; Port=&quot;Serial Port 11&quot; TalkerID=&quot;II&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;ITI-FS Datagrams from ITI-FS From FS70&quot; SensorType=&quot;ITI-FS&quot; Type=&quot;ITI-FS Datagrams&quot; SubscriptionPath=&quot;ITI-FS From FS70@ITI-FS.ITI-FS&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;ITI-FS&quot; Priority=&quot;2&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n        &lt;Sensor Name=&quot;ITI-FS From Serial Port 9&quot; Type=&quot;ITI-FS&quot; Port=&quot;Serial Port 9&quot; TalkerID=&quot;II&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;ITI-FS Datagrams from ITI-FS From Serial Port 9&quot; SensorType=&quot;ITI-FS&quot; Type=&quot;ITI-FS Datagrams&quot; SubscriptionPath=&quot;ITI-FS From Serial Port 9@ITI-FS.ITI-FS&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;ITI-FS&quot; Priority=&quot;2&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n        &lt;Sensor Name=&quot;GPS From POS/MV Port 13&quot; Type=&quot;GPS&quot; Port=&quot;Serial Port 13&quot; TalkerID=&quot;&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;GGA from GPS From POS/MV Port 13&quot; SensorType=&quot;GPS&quot; Type=&quot;GGA&quot; SubscriptionPath=&quot;GPS From POS/MV Port 13@GPS.Global.Position&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Latitude&quot; Priority=&quot;1&quot; /&gt;\\n                &lt;Value Name=&quot;Longitude&quot; Priority=&quot;1&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;RMC from GPS From POS/MV Port 13&quot; SensorType=&quot;GPS&quot; Type=&quot;RMC&quot; SubscriptionPath=&quot;GPS From POS/MV Port 13@GPS.Specific.PositionSpeedCourse&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Latitude&quot; Priority=&quot;2&quot; /&gt;\\n                &lt;Value Name=&quot;Longitude&quot; Priority=&quot;2&quot; /&gt;\\n                &lt;Value Name=&quot;Course&quot; Priority=&quot;3&quot; /&gt;\\n                &lt;Value Name=&quot;Speed&quot; Priority=&quot;1&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;VTG from GPS From POS/MV Port 13&quot; SensorType=&quot;GPS&quot; Type=&quot;VTG&quot; SubscriptionPath=&quot;GPS From POS/MV Port 13@GPS.Ground&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Course&quot; Priority=&quot;5&quot; /&gt;\\n                &lt;Value Name=&quot;CourseNotUsedMagnetic&quot; Priority=&quot;2&quot; /&gt;\\n                &lt;Value Name=&quot;Speed&quot; Priority=&quot;2&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;ZDA from GPS From POS/MV Port 13&quot; SensorType=&quot;GPS&quot; Type=&quot;ZDA&quot; SubscriptionPath=&quot;GPS From POS/MV Port 13@GPS.TimeInfo&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;TimeInfo&quot; Priority=&quot;2&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n        &lt;Sensor Name=&quot;Motion EM3000 From Serial Port 12&quot; Type=&quot;MotionBinary&quot; Port=&quot;Serial Port 12&quot; TalkerID=&quot;&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;MRU from Motion EM3000 From Serial Port 12&quot; SensorType=&quot;MotionBinary&quot; Type=&quot;MRU&quot; SubscriptionPath=&quot;Motion EM3000 From Serial Port 12@MotionBinary.MotionData&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Roll&quot; Priority=&quot;2&quot; /&gt;\\n                &lt;Value Name=&quot;Pitch&quot; Priority=&quot;2&quot; /&gt;\\n                &lt;Value Name=&quot;Heading&quot; Priority=&quot;9&quot; /&gt;\\n                &lt;Value Name=&quot;Heave&quot; Priority=&quot;2&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n        &lt;Sensor Name=&quot;Motion TSS1 From Serial Port 10&quot; Type=&quot;MotionAscii&quot; Port=&quot;Serial Port 10&quot; TalkerID=&quot;&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;MRU from Motion TSS1 From Serial Port 10&quot; SensorType=&quot;MotionAscii&quot; Type=&quot;MRU&quot; SubscriptionPath=&quot;Motion TSS1 From Serial Port 10@MotionAscii.MotionData&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Roll&quot; Priority=&quot;1&quot; /&gt;\\n                &lt;Value Name=&quot;Pitch&quot; Priority=&quot;1&quot; /&gt;\\n                &lt;Value Name=&quot;Heading_Dummy&quot; Priority=&quot;1&quot; /&gt;\\n                &lt;Value Name=&quot;Heave&quot; Priority=&quot;1&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n    &lt;/ConfiguredSensors&gt;\\n&lt;/Configuration&gt;&#x27;,\n",
+       "       [ 8.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>config_xml</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U74340</div><div class='xr-var-preview xr-preview'>&#x27;&lt;?xml version=&quot;1.0&quot; encoding=&quot;u...</div><input id='attrs-d14c0bf3-bfd6-4a0b-a803-94273e3b2b54' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d14c0bf3-bfd6-4a0b-a803-94273e3b2b54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2910924e-7178-428a-8c2a-6a8d98638fb3' class='xr-var-data-in' type='checkbox'><label for='data-2910924e-7178-428a-8c2a-6a8d98638fb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;&lt;?xml version=&quot;1.0&quot; encoding=&quot;utf-8&quot; ?&gt;\\n&lt;Configuration&gt;\\n    &lt;Header Copyright=&quot;Copyright(c) Kongsberg Maritime AS, Norway&quot; ApplicationName=&quot;EK80&quot; Version=&quot;21.15.2.0&quot; FileFormatVersion=&quot;1.27&quot; TimeBias=&quot;0&quot; /&gt;\\n    &lt;ActivePingMode Mode=&quot;Direct&quot; /&gt;\\n    &lt;Transceivers MergeOperation=&quot;AddNodeTree&quot;&gt;\\n        &lt;Transceiver TransceiverName=&quot;WBT 400141&quot; IPAddress=&quot;157.237.15.100&quot; MarketSegment=&quot;Scientific&quot; SerialNumber=&quot;400141&quot; Impedance=&quot;5400&quot; Multiplexing=&quot;0&quot; RxSampleFrequency=&quot;1500000&quot; TransceiverType=&quot;WBT&quot; EthernetAddress=&quot;009072061b0d&quot; Version=&quot;[0] Ethernet: 00:90:72:06:1B:0D&amp;#x0D;&amp;#x0A;[1] Parts-list: WBT 371790/F&amp;#x0D;&amp;#x0A;[2] Product: WBT&amp;#x0D;&amp;#x0A;IP Address: 157.237.15.100&amp;#x0D;&amp;#x0A;Subnet mask: 255.255.0.0&amp;#x0D;&amp;#x0A;Default gateway: 157.237.15.1&amp;#x0D;&amp;#x0A;Serial number: 400141&amp;#x0D;&amp;#x0A;Embedded software: Rev. 2.54&amp;#x0D;&amp;#x0A;FPGA TX firmware: Rev. 5&amp;#x0D;&amp;#x0A;FPGA RX firmware: Rev. 7&amp;#x0D;&amp;#x0A;CH1: 509W CH2: 498W CH3: 494W CH4: 499W&amp;#x0D;&amp;#x0A;TRD1: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD2: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD3: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD4: Unable to detect transducer&amp;#x0D;&amp;#x0A;&quot; TransceiverSoftwareVersion=&quot;2.54&quot; TransceiverNumber=&quot;1&quot;&gt;\\n            &lt;Channels&gt;\\n                &lt;Channel ChannelID=&quot;WBT 400141-15 ES18_ES&quot; LogicalChannelID=&quot;WBT 400141-15 ES18&quot; ChannelIdShort=&quot;ES18 Shimada&quot; MaxTxPowerTransceiver=&quot;2000&quot; HWChannelConfiguration=&quot;15&quot; PulseDuration=&quot;0.000512;0.001024;0.002048;0.004096;0.008192&quot;&gt;\\n                    &lt;Transducer TransducerName=&quot;ES18&quot; ArticleNumber=&quot;KSV-088694&quot; SerialNumber=&quot;0&quot; Frequency=&quot;18000&quot; FrequencyMinimum=&quot;18000&quot; FrequencyMaximum=&quot;18000&quot; MaxTxPowerTransducer=&quot;1000&quot; Gain=&quot;20.3;23.08;22.9;23;23&quot; SaCorrection=&quot;0;-0.07;0;0;0&quot; EquivalentBeamAngle=&quot;-17&quot; DirectivityDropAt2XBeamWidth=&quot;0&quot; AngleSensitivityAlongship=&quot;15.5&quot; AngleSensitivityAthwartship=&quot;15.5&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;-0.05&quot; BeamWidthAlongship=&quot;10.92&quot; BeamWidthAthwartship=&quot;10.6&quot; BeamType=&quot;1&quot; /&gt;\\n                &lt;/Channel&gt;\\n            &lt;/Channels&gt;\\n        &lt;/Transceiver&gt;\\n        &lt;Transceiver TransceiverName=&quot;WBT 400143&quot; IPAddress=&quot;157.237.15.104&quot; MarketSegment=&quot;Scientific&quot; SerialNumber=&quot;400143&quot; Impedance=&quot;5400&quot; Multiplexing=&quot;0&quot; RxSampleFrequency=&quot;1500000&quot; TransceiverType=&quot;WBT&quot; EthernetAddress=&quot;009072061b0f&quot; Version=&quot;[0] Ethernet: 00:90:72:06:1B:0F&amp;#x0D;&amp;#x0A;[1] Parts-list: WBT 371790/F&amp;#x0D;&amp;#x0A;[2] Product: WBT&amp;#x0D;&amp;#x0A;IP Address: 157.237.15.104&amp;#x0D;&amp;#x0A;Subnet mask: 255.255.0.0&amp;#x0D;&amp;#x0A;Default gateway: 157.237.15.1&amp;#x0D;&amp;#x0A;Serial number: 400143&amp;#x0D;&amp;#x0A;Embedded software: Rev. 2.54&amp;#x0D;&amp;#x0A;FPGA TX firmware: Rev. 5&amp;#x0D;&amp;#x0A;FPGA RX firmware: Rev. 7&amp;#x0D;&amp;#x0A;CH1: 514W CH2: 499W CH3: 491W CH4: 502W&amp;#x0D;&amp;#x0A;TRD1: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD2: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD3: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD4: Unable to detect transducer&amp;#x0D;&amp;#x0A;&quot; TransceiverSoftwareVersion=&quot;2.54&quot; TransceiverNumber=&quot;2&quot;&gt;\\n            &lt;Channels&gt;\\n                &lt;Channel ChannelID=&quot;WBT 400143-15 ES38B_ES&quot; LogicalChannelID=&quot;WBT 400143-15 ES38B&quot; ChannelIdShort=&quot;ES 38 Shimada&quot; MaxTxPowerTransceiver=&quot;2000&quot; HWChannelConfiguration=&quot;15&quot; PulseDuration=&quot;0.000256;0.000512;0.001024;0.002048;0.004096&quot;&gt;\\n                    &lt;Transducer TransducerName=&quot;ES38B&quot; SerialNumber=&quot;0&quot; Frequency=&quot;38000&quot; FrequencyMinimum=&quot;38000&quot; FrequencyMaximum=&quot;38000&quot; MaxTxPowerTransducer=&quot;2000&quot; Gain=&quot;23;25;26.46;25.5;25&quot; SaCorrection=&quot;0;0;-0.07;0;0&quot; EquivalentBeamAngle=&quot;-20.7&quot; DirectivityDropAt2XBeamWidth=&quot;0&quot; AngleSensitivityAlongship=&quot;23&quot; AngleSensitivityAthwartship=&quot;23&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;-0.17&quot; BeamWidthAlongship=&quot;6.71&quot; BeamWidthAthwartship=&quot;6.81&quot; BeamType=&quot;1&quot; /&gt;\\n                &lt;/Channel&gt;\\n            &lt;/Channels&gt;\\n        &lt;/Transceiver&gt;\\n        &lt;Transceiver TransceiverName=&quot;WBT 400142&quot; IPAddress=&quot;157.237.15.103&quot; MarketSegment=&quot;Scientific&quot; SerialNumber=&quot;400142&quot; Impedance=&quot;5400&quot; Multiplexing=&quot;0&quot; RxSampleFrequency=&quot;1500000&quot; TransceiverType=&quot;WBT&quot; EthernetAddress=&quot;009072061b0e&quot; Version=&quot;[0] Ethernet: 00:90:72:06:1B:0E&amp;#x0D;&amp;#x0A;[1] Parts-list: WBT 371790/F&amp;#x0D;&amp;#x0A;[2] Product: WBT&amp;#x0D;&amp;#x0A;IP Address: 157.237.15.103&amp;#x0D;&amp;#x0A;Subnet mask: 255.255.0.0&amp;#x0D;&amp;#x0A;Default gateway: 157.237.15.1&amp;#x0D;&amp;#x0A;Serial number: 400142&amp;#x0D;&amp;#x0A;Embedded software: Rev. 2.54&amp;#x0D;&amp;#x0A;FPGA TX firmware: Rev. 5&amp;#x0D;&amp;#x0A;FPGA RX firmware: Rev. 7&amp;#x0D;&amp;#x0A;CH1: 512W CH2: 502W CH3: 490W CH4: 509W&amp;#x0D;&amp;#x0A;TRD1: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD2: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD3: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD4: Unable to detect transducer&amp;#x0D;&amp;#x0A;&quot; TransceiverSoftwareVersion=&quot;2.54&quot; TransceiverNumber=&quot;3&quot;&gt;\\n            &lt;Channels&gt;\\n                &lt;Channel ChannelID=&quot;WBT 400142-15 ES70-7C_ES&quot; LogicalChannelID=&quot;WBT 400142-15 ES70-7C&quot; ChannelIdShort=&quot;ES70 Shimada&quot; MaxTxPowerTransceiver=&quot;2000&quot; HWChannelConfiguration=&quot;15&quot; PulseDuration=&quot;0.000128;0.000256;0.000512;0.001024;0.002048&quot; PulseDurationFM=&quot;0.000512;0.001024;0.002048;0.004096;0.008192&quot;&gt;\\n                    &lt;Transducer TransducerName=&quot;ES70-7C&quot; ArticleNumber=&quot;KSV-203678&quot; SerialNumber=&quot;0&quot; Frequency=&quot;70000&quot; FrequencyMinimum=&quot;45000&quot; FrequencyMaximum=&quot;90000&quot; MaxTxPowerTransducer=&quot;750&quot; Gain=&quot;27;27;27;28.1;27&quot; SaCorrection=&quot;0;0;0;-0.2;0&quot; EquivalentBeamAngle=&quot;-20.7&quot; DirectivityDropAt2XBeamWidth=&quot;0&quot; AngleSensitivityAlongship=&quot;23&quot; AngleSensitivityAthwartship=&quot;23&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0&quot; BeamWidthAlongship=&quot;6.55&quot; BeamWidthAthwartship=&quot;6.61&quot; BeamType=&quot;1&quot;&gt;\\n                        &lt;FrequencyPar Frequency=&quot;45000&quot; Gain=&quot;22.04&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;10.13&quot; BeamWidthAthwartship=&quot;9.87&quot; AngleOffsetAlongship=&quot;0.41&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;45473&quot; Gain=&quot;22.46&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;10.23&quot; BeamWidthAthwartship=&quot;10.09&quot; AngleOffsetAlongship=&quot;0.48&quot; AngleOffsetAthwartship=&quot;-0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;45947&quot; Gain=&quot;22.96&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;10.25&quot; BeamWidthAthwartship=&quot;10.07&quot; AngleOffsetAlongship=&quot;0.5&quot; AngleOffsetAthwartship=&quot;-0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;46420&quot; Gain=&quot;23.46&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.87&quot; BeamWidthAthwartship=&quot;9.9&quot; AngleOffsetAlongship=&quot;0.48&quot; AngleOffsetAthwartship=&quot;-0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;46894&quot; Gain=&quot;23.87&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.72&quot; BeamWidthAthwartship=&quot;9.8&quot; AngleOffsetAlongship=&quot;0.49&quot; AngleOffsetAthwartship=&quot;-0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;47367&quot; Gain=&quot;24.15&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.66&quot; BeamWidthAthwartship=&quot;9.64&quot; AngleOffsetAlongship=&quot;0.42&quot; AngleOffsetAthwartship=&quot;-0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;47841&quot; Gain=&quot;24.36&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.51&quot; BeamWidthAthwartship=&quot;9.53&quot; AngleOffsetAlongship=&quot;0.37&quot; AngleOffsetAthwartship=&quot;-0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;48314&quot; Gain=&quot;24.45&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.39&quot; BeamWidthAthwartship=&quot;9.39&quot; AngleOffsetAlongship=&quot;0.32&quot; AngleOffsetAthwartship=&quot;-0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;48788&quot; Gain=&quot;24.48&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.46&quot; BeamWidthAthwartship=&quot;9.19&quot; AngleOffsetAlongship=&quot;0.27&quot; AngleOffsetAthwartship=&quot;-0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;49261&quot; Gain=&quot;24.42&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.72&quot; BeamWidthAthwartship=&quot;9.09&quot; AngleOffsetAlongship=&quot;0.25&quot; AngleOffsetAthwartship=&quot;-0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;49735&quot; Gain=&quot;24.41&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.31&quot; BeamWidthAthwartship=&quot;9.11&quot; AngleOffsetAlongship=&quot;0.13&quot; AngleOffsetAthwartship=&quot;-0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;50208&quot; Gain=&quot;24.38&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.23&quot; BeamWidthAthwartship=&quot;8.97&quot; AngleOffsetAlongship=&quot;0.1&quot; AngleOffsetAthwartship=&quot;-0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;50682&quot; Gain=&quot;24.38&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.13&quot; BeamWidthAthwartship=&quot;8.88&quot; AngleOffsetAlongship=&quot;0.08&quot; AngleOffsetAthwartship=&quot;-0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;51155&quot; Gain=&quot;24.43&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.82&quot; BeamWidthAthwartship=&quot;8.85&quot; AngleOffsetAlongship=&quot;-0.01&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;51629&quot; Gain=&quot;24.48&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.95&quot; BeamWidthAthwartship=&quot;8.8&quot; AngleOffsetAlongship=&quot;-0.01&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;52102&quot; Gain=&quot;24.62&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.7&quot; BeamWidthAthwartship=&quot;8.64&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;52576&quot; Gain=&quot;24.7&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.54&quot; BeamWidthAthwartship=&quot;8.48&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;53049&quot; Gain=&quot;24.78&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.57&quot; BeamWidthAthwartship=&quot;8.41&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;53523&quot; Gain=&quot;24.8&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.67&quot; BeamWidthAthwartship=&quot;8.37&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;53996&quot; Gain=&quot;24.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.49&quot; BeamWidthAthwartship=&quot;8.29&quot; AngleOffsetAlongship=&quot;-0.04&quot; AngleOffsetAthwartship=&quot;0&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;54469&quot; Gain=&quot;24.88&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.24&quot; BeamWidthAthwartship=&quot;8.28&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;-0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;54943&quot; Gain=&quot;24.94&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.35&quot; BeamWidthAthwartship=&quot;8.22&quot; AngleOffsetAlongship=&quot;0&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;55416&quot; Gain=&quot;25.01&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.26&quot; BeamWidthAthwartship=&quot;8.16&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;55890&quot; Gain=&quot;25.08&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.21&quot; BeamWidthAthwartship=&quot;8.15&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;56363&quot; Gain=&quot;25.23&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.11&quot; BeamWidthAthwartship=&quot;8.01&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;56837&quot; Gain=&quot;25.37&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.06&quot; BeamWidthAthwartship=&quot;7.84&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;57310&quot; Gain=&quot;25.54&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.93&quot; BeamWidthAthwartship=&quot;7.79&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;57784&quot; Gain=&quot;25.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.9&quot; BeamWidthAthwartship=&quot;7.76&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;58257&quot; Gain=&quot;25.79&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.9&quot; BeamWidthAthwartship=&quot;7.71&quot; AngleOffsetAlongship=&quot;-0.04&quot; AngleOffsetAthwartship=&quot;-0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;58731&quot; Gain=&quot;25.92&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.62&quot; BeamWidthAthwartship=&quot;7.59&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;59204&quot; Gain=&quot;25.99&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.75&quot; BeamWidthAthwartship=&quot;7.52&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;59678&quot; Gain=&quot;26.05&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.73&quot; BeamWidthAthwartship=&quot;7.52&quot; AngleOffsetAlongship=&quot;-0.06&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;60151&quot; Gain=&quot;26.14&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.36&quot; BeamWidthAthwartship=&quot;7.5&quot; AngleOffsetAlongship=&quot;-0.04&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;60625&quot; Gain=&quot;26.23&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.45&quot; BeamWidthAthwartship=&quot;7.39&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;61098&quot; Gain=&quot;26.3&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.45&quot; BeamWidthAthwartship=&quot;7.31&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;61572&quot; Gain=&quot;26.46&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.28&quot; BeamWidthAthwartship=&quot;7.17&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;62045&quot; Gain=&quot;26.56&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.18&quot; BeamWidthAthwartship=&quot;7.14&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;62519&quot; Gain=&quot;26.7&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.18&quot; BeamWidthAthwartship=&quot;7.07&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;62992&quot; Gain=&quot;26.83&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.19&quot; BeamWidthAthwartship=&quot;6.94&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;63465&quot; Gain=&quot;26.96&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.17&quot; BeamWidthAthwartship=&quot;6.87&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;63939&quot; Gain=&quot;27.02&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.07&quot; BeamWidthAthwartship=&quot;6.96&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;64412&quot; Gain=&quot;27.09&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.05&quot; BeamWidthAthwartship=&quot;6.96&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;64886&quot; Gain=&quot;27.15&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.96&quot; BeamWidthAthwartship=&quot;6.85&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;65359&quot; Gain=&quot;27.22&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.79&quot; BeamWidthAthwartship=&quot;6.82&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;65833&quot; Gain=&quot;27.25&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.9&quot; BeamWidthAthwartship=&quot;6.8&quot; AngleOffsetAlongship=&quot;-0.06&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;66306&quot; Gain=&quot;27.32&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.78&quot; BeamWidthAthwartship=&quot;6.79&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;66780&quot; Gain=&quot;27.38&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.7&quot; BeamWidthAthwartship=&quot;6.73&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;67253&quot; Gain=&quot;27.46&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.72&quot; BeamWidthAthwartship=&quot;6.6&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;67727&quot; Gain=&quot;27.58&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.7&quot; BeamWidthAthwartship=&quot;6.53&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;68200&quot; Gain=&quot;27.69&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.57&quot; BeamWidthAthwartship=&quot;6.5&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;68674&quot; Gain=&quot;27.79&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.59&quot; BeamWidthAthwartship=&quot;6.47&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;69147&quot; Gain=&quot;27.95&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.52&quot; BeamWidthAthwartship=&quot;6.39&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;69621&quot; Gain=&quot;28.09&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.3&quot; BeamWidthAthwartship=&quot;6.28&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;70094&quot; Gain=&quot;28.14&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.4&quot; BeamWidthAthwartship=&quot;6.34&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;70568&quot; Gain=&quot;28.16&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.38&quot; BeamWidthAthwartship=&quot;6.32&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;71041&quot; Gain=&quot;28.24&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.25&quot; BeamWidthAthwartship=&quot;6.15&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;71515&quot; Gain=&quot;28.3&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.16&quot; BeamWidthAthwartship=&quot;6.05&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;71988&quot; Gain=&quot;28.19&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.14&quot; BeamWidthAthwartship=&quot;6.08&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;72461&quot; Gain=&quot;28.21&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.14&quot; BeamWidthAthwartship=&quot;6&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;72935&quot; Gain=&quot;28.3&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.97&quot; BeamWidthAthwartship=&quot;5.91&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;73408&quot; Gain=&quot;28.26&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.06&quot; BeamWidthAthwartship=&quot;5.87&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;73882&quot; Gain=&quot;28.36&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.94&quot; BeamWidthAthwartship=&quot;5.79&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;74355&quot; Gain=&quot;28.49&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.83&quot; BeamWidthAthwartship=&quot;5.79&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;74829&quot; Gain=&quot;28.49&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.94&quot; BeamWidthAthwartship=&quot;5.83&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;75302&quot; Gain=&quot;28.52&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.91&quot; BeamWidthAthwartship=&quot;5.77&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;75776&quot; Gain=&quot;28.65&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.84&quot; BeamWidthAthwartship=&quot;5.68&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;76249&quot; Gain=&quot;28.7&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.7&quot; BeamWidthAthwartship=&quot;5.66&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;76723&quot; Gain=&quot;28.61&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.84&quot; BeamWidthAthwartship=&quot;5.66&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;77196&quot; Gain=&quot;28.59&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.74&quot; BeamWidthAthwartship=&quot;5.63&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;77670&quot; Gain=&quot;28.63&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.63&quot; BeamWidthAthwartship=&quot;5.54&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;78143&quot; Gain=&quot;28.64&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.69&quot; BeamWidthAthwartship=&quot;5.49&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;78617&quot; Gain=&quot;28.61&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.6&quot; BeamWidthAthwartship=&quot;5.53&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;79090&quot; Gain=&quot;28.62&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.6&quot; BeamWidthAthwartship=&quot;5.45&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;79564&quot; Gain=&quot;28.74&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.53&quot; BeamWidthAthwartship=&quot;5.43&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;80037&quot; Gain=&quot;28.89&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.49&quot; BeamWidthAthwartship=&quot;5.45&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;80511&quot; Gain=&quot;29.12&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.34&quot; BeamWidthAthwartship=&quot;5.32&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;80984&quot; Gain=&quot;29.24&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.35&quot; BeamWidthAthwartship=&quot;5.27&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;81457&quot; Gain=&quot;29.35&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.29&quot; BeamWidthAthwartship=&quot;5.24&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;81931&quot; Gain=&quot;29.4&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.21&quot; BeamWidthAthwartship=&quot;5.16&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;82404&quot; Gain=&quot;29.42&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.25&quot; BeamWidthAthwartship=&quot;5.08&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;82878&quot; Gain=&quot;29.42&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.18&quot; BeamWidthAthwartship=&quot;5.12&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;83351&quot; Gain=&quot;29.42&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.24&quot; BeamWidthAthwartship=&quot;5.1&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;83825&quot; Gain=&quot;29.51&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.12&quot; BeamWidthAthwartship=&quot;5.04&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;84298&quot; Gain=&quot;29.57&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.12&quot; BeamWidthAthwartship=&quot;5&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;84772&quot; Gain=&quot;29.68&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.07&quot; BeamWidthAthwartship=&quot;4.92&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;85245&quot; Gain=&quot;29.81&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.94&quot; BeamWidthAthwartship=&quot;4.95&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;85719&quot; Gain=&quot;29.9&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.03&quot; BeamWidthAthwartship=&quot;4.93&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;86192&quot; Gain=&quot;30.12&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.92&quot; BeamWidthAthwartship=&quot;4.85&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;86666&quot; Gain=&quot;30.35&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.85&quot; BeamWidthAthwartship=&quot;4.79&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;87139&quot; Gain=&quot;30.65&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.76&quot; BeamWidthAthwartship=&quot;4.74&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;87613&quot; Gain=&quot;31.01&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.68&quot; BeamWidthAthwartship=&quot;4.67&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;88000&quot; Gain=&quot;31.2&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.78&quot; BeamWidthAthwartship=&quot;4.62&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                    &lt;/Transducer&gt;\\n                &lt;/Channel&gt;\\n            &lt;/Channels&gt;\\n        &lt;/Transceiver&gt;\\n        &lt;Transceiver TransceiverName=&quot;WBT 400140&quot; IPAddress=&quot;157.237.15.101&quot; MarketSegment=&quot;Scientific&quot; SerialNumber=&quot;400140&quot; Impedance=&quot;5400&quot; Multiplexing=&quot;0&quot; RxSampleFrequency=&quot;1500000&quot; TransceiverType=&quot;WBT&quot; EthernetAddress=&quot;009072061b0c&quot; Version=&quot;[0] Ethernet: 00:90:72:06:1B:0C&amp;#x0D;&amp;#x0A;[1] Parts-list: WBT 371790/F&amp;#x0D;&amp;#x0A;[2] Product: WBT&amp;#x0D;&amp;#x0A;IP Address: 157.237.15.101&amp;#x0D;&amp;#x0A;Subnet mask: 255.255.0.0&amp;#x0D;&amp;#x0A;Default gateway: 157.237.15.1&amp;#x0D;&amp;#x0A;Serial number: 400140&amp;#x0D;&amp;#x0A;Embedded software: Rev. 2.54&amp;#x0D;&amp;#x0A;FPGA TX firmware: Rev. 5&amp;#x0D;&amp;#x0A;FPGA RX firmware: Rev. 7&amp;#x0D;&amp;#x0A;CH1: 507W CH2: 489W CH3: 491W CH4: 486W&amp;#x0D;&amp;#x0A;TRD1: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD2: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD3: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD4: Unable to detect transducer&amp;#x0D;&amp;#x0A;&quot; TransceiverSoftwareVersion=&quot;2.54&quot; TransceiverNumber=&quot;4&quot;&gt;\\n            &lt;Channels&gt;\\n                &lt;Channel ChannelID=&quot;WBT 400140-15 ES120-7C_ES&quot; LogicalChannelID=&quot;WBT 400140-15 ES120-7C&quot; ChannelIdShort=&quot;ES120 Shimada&quot; MaxTxPowerTransceiver=&quot;2000&quot; HWChannelConfiguration=&quot;15&quot; PulseDuration=&quot;6.4E-05;0.000128;0.000256;0.000512;0.001024&quot; PulseDurationFM=&quot;0.000512;0.001024;0.002048;0.004096;0.008192&quot;&gt;\\n                    &lt;Transducer TransducerName=&quot;ES120-7C&quot; ArticleNumber=&quot;KSV-204580&quot; SerialNumber=&quot;0&quot; Frequency=&quot;120000&quot; FrequencyMinimum=&quot;90000&quot; FrequencyMaximum=&quot;170000&quot; MaxTxPowerTransducer=&quot;250&quot; Gain=&quot;27;27;27;27;26.76&quot; SaCorrection=&quot;0;0;0;0;-0.12&quot; EquivalentBeamAngle=&quot;-20.7&quot; DirectivityDropAt2XBeamWidth=&quot;0&quot; AngleSensitivityAlongship=&quot;23&quot; AngleSensitivityAthwartship=&quot;23&quot; AngleOffsetAlongship=&quot;-0.04&quot; AngleOffsetAthwartship=&quot;0.17&quot; BeamWidthAlongship=&quot;6.63&quot; BeamWidthAthwartship=&quot;6.74&quot; BeamType=&quot;1&quot;&gt;\\n                        &lt;FrequencyPar Frequency=&quot;95237&quot; Gain=&quot;25.45&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.81&quot; BeamWidthAthwartship=&quot;8.17&quot; AngleOffsetAlongship=&quot;0.02&quot; AngleOffsetAthwartship=&quot;-0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;95699&quot; Gain=&quot;25.44&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.99&quot; BeamWidthAthwartship=&quot;8.17&quot; AngleOffsetAlongship=&quot;0.07&quot; AngleOffsetAthwartship=&quot;-0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;96162&quot; Gain=&quot;25.4&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.72&quot; BeamWidthAthwartship=&quot;8.39&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;-0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;96624&quot; Gain=&quot;25.63&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.31&quot; BeamWidthAthwartship=&quot;8.06&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;-0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;97087&quot; Gain=&quot;25.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.67&quot; BeamWidthAthwartship=&quot;7.96&quot; AngleOffsetAlongship=&quot;-0.03&quot; AngleOffsetAthwartship=&quot;0.02&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;97549&quot; Gain=&quot;25.85&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8&quot; BeamWidthAthwartship=&quot;8.09&quot; AngleOffsetAlongship=&quot;0&quot; AngleOffsetAthwartship=&quot;0&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;98012&quot; Gain=&quot;25.85&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.64&quot; BeamWidthAthwartship=&quot;8.03&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;98474&quot; Gain=&quot;26.07&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.02&quot; BeamWidthAthwartship=&quot;8.03&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;98936&quot; Gain=&quot;26.16&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.65&quot; BeamWidthAthwartship=&quot;7.88&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;99399&quot; Gain=&quot;26.01&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8&quot; BeamWidthAthwartship=&quot;7.8&quot; AngleOffsetAlongship=&quot;0.05&quot; AngleOffsetAthwartship=&quot;-0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;99861&quot; Gain=&quot;25.9&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.23&quot; BeamWidthAthwartship=&quot;7.81&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.01&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;100324&quot; Gain=&quot;25.92&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.75&quot; BeamWidthAthwartship=&quot;7.77&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;100786&quot; Gain=&quot;25.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.43&quot; BeamWidthAthwartship=&quot;7.6&quot; AngleOffsetAlongship=&quot;0.07&quot; AngleOffsetAthwartship=&quot;0&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;101249&quot; Gain=&quot;25.77&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.81&quot; BeamWidthAthwartship=&quot;7.63&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;101711&quot; Gain=&quot;25.8&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.83&quot; BeamWidthAthwartship=&quot;7.69&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;102174&quot; Gain=&quot;25.89&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.59&quot; BeamWidthAthwartship=&quot;7.66&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;102636&quot; Gain=&quot;25.99&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.59&quot; BeamWidthAthwartship=&quot;7.59&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;103099&quot; Gain=&quot;26.03&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.68&quot; BeamWidthAthwartship=&quot;7.6&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;103561&quot; Gain=&quot;26.11&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.76&quot; BeamWidthAthwartship=&quot;7.62&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;104024&quot; Gain=&quot;26.23&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.51&quot; BeamWidthAthwartship=&quot;7.46&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;104486&quot; Gain=&quot;26.24&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.46&quot; BeamWidthAthwartship=&quot;7.43&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;104948&quot; Gain=&quot;26.17&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.52&quot; BeamWidthAthwartship=&quot;7.4&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;105411&quot; Gain=&quot;26.07&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.45&quot; BeamWidthAthwartship=&quot;7.36&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;105873&quot; Gain=&quot;26.02&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.33&quot; BeamWidthAthwartship=&quot;7.32&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;106336&quot; Gain=&quot;25.93&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.34&quot; BeamWidthAthwartship=&quot;7.28&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;106798&quot; Gain=&quot;25.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.42&quot; BeamWidthAthwartship=&quot;7.3&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;107261&quot; Gain=&quot;25.87&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.41&quot; BeamWidthAthwartship=&quot;7.31&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;107723&quot; Gain=&quot;25.92&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.46&quot; BeamWidthAthwartship=&quot;7.3&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;108186&quot; Gain=&quot;26.07&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.53&quot; BeamWidthAthwartship=&quot;7.27&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;108648&quot; Gain=&quot;26.17&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.37&quot; BeamWidthAthwartship=&quot;7.29&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;109111&quot; Gain=&quot;26.29&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.37&quot; BeamWidthAthwartship=&quot;7.28&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;109573&quot; Gain=&quot;26.35&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.47&quot; BeamWidthAthwartship=&quot;7.13&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;110036&quot; Gain=&quot;26.38&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.38&quot; BeamWidthAthwartship=&quot;7.08&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;110498&quot; Gain=&quot;26.38&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.18&quot; BeamWidthAthwartship=&quot;7.16&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;110960&quot; Gain=&quot;26.26&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.26&quot; BeamWidthAthwartship=&quot;7.11&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;111423&quot; Gain=&quot;26.21&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.36&quot; BeamWidthAthwartship=&quot;7.16&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;111885&quot; Gain=&quot;26.16&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.17&quot; BeamWidthAthwartship=&quot;7.06&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;112348&quot; Gain=&quot;26.23&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.12&quot; BeamWidthAthwartship=&quot;7.05&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;112810&quot; Gain=&quot;26.25&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.1&quot; BeamWidthAthwartship=&quot;7.03&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;113273&quot; Gain=&quot;26.45&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.02&quot; BeamWidthAthwartship=&quot;7&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;113735&quot; Gain=&quot;26.64&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.96&quot; BeamWidthAthwartship=&quot;6.9&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;119285&quot; Gain=&quot;26.83&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.67&quot; BeamWidthAthwartship=&quot;6.63&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;119747&quot; Gain=&quot;26.97&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.54&quot; BeamWidthAthwartship=&quot;6.5&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;120210&quot; Gain=&quot;27.11&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.49&quot; BeamWidthAthwartship=&quot;6.49&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;120672&quot; Gain=&quot;27.24&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.41&quot; BeamWidthAthwartship=&quot;6.42&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;121135&quot; Gain=&quot;27.25&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.31&quot; BeamWidthAthwartship=&quot;6.34&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;121597&quot; Gain=&quot;27.27&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.3&quot; BeamWidthAthwartship=&quot;6.34&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;122060&quot; Gain=&quot;27.13&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.34&quot; BeamWidthAthwartship=&quot;6.27&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;122522&quot; Gain=&quot;27.05&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.34&quot; BeamWidthAthwartship=&quot;6.27&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;122984&quot; Gain=&quot;26.94&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.33&quot; BeamWidthAthwartship=&quot;6.25&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;123447&quot; Gain=&quot;26.88&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.44&quot; BeamWidthAthwartship=&quot;6.23&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;123909&quot; Gain=&quot;26.87&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.52&quot; BeamWidthAthwartship=&quot;6.23&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;124372&quot; Gain=&quot;26.92&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.42&quot; BeamWidthAthwartship=&quot;6.27&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;124834&quot; Gain=&quot;27.13&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.29&quot; BeamWidthAthwartship=&quot;6.22&quot; AngleOffsetAlongship=&quot;-0.22&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;125297&quot; Gain=&quot;27.29&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.31&quot; BeamWidthAthwartship=&quot;6.17&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;125759&quot; Gain=&quot;27.47&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.28&quot; BeamWidthAthwartship=&quot;6.14&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;126222&quot; Gain=&quot;27.62&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.12&quot; BeamWidthAthwartship=&quot;6.08&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.2&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;126684&quot; Gain=&quot;27.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.06&quot; BeamWidthAthwartship=&quot;5.99&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;127147&quot; Gain=&quot;27.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.1&quot; BeamWidthAthwartship=&quot;6&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;127609&quot; Gain=&quot;27.57&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.14&quot; BeamWidthAthwartship=&quot;5.96&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;128072&quot; Gain=&quot;27.54&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.04&quot; BeamWidthAthwartship=&quot;5.85&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;128534&quot; Gain=&quot;27.45&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.09&quot; BeamWidthAthwartship=&quot;5.87&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;128996&quot; Gain=&quot;27.37&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.21&quot; BeamWidthAthwartship=&quot;5.92&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;129459&quot; Gain=&quot;27.39&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.17&quot; BeamWidthAthwartship=&quot;5.95&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;129921&quot; Gain=&quot;27.52&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.01&quot; BeamWidthAthwartship=&quot;6&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.21&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;130384&quot; Gain=&quot;27.67&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.03&quot; BeamWidthAthwartship=&quot;5.94&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;130846&quot; Gain=&quot;27.87&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.04&quot; BeamWidthAthwartship=&quot;5.87&quot; AngleOffsetAlongship=&quot;-0.22&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;131309&quot; Gain=&quot;28.01&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.86&quot; BeamWidthAthwartship=&quot;5.79&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;131771&quot; Gain=&quot;28.12&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.8&quot; BeamWidthAthwartship=&quot;5.83&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;132234&quot; Gain=&quot;28.08&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.84&quot; BeamWidthAthwartship=&quot;5.78&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;132696&quot; Gain=&quot;28&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.83&quot; BeamWidthAthwartship=&quot;5.68&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;133159&quot; Gain=&quot;27.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.88&quot; BeamWidthAthwartship=&quot;5.66&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;133621&quot; Gain=&quot;27.52&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.83&quot; BeamWidthAthwartship=&quot;5.72&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;140096&quot; Gain=&quot;26.98&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.5&quot; BeamWidthAthwartship=&quot;5.39&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;140558&quot; Gain=&quot;26.93&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.45&quot; BeamWidthAthwartship=&quot;5.42&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;141021&quot; Gain=&quot;26.93&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.52&quot; BeamWidthAthwartship=&quot;5.36&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;141483&quot; Gain=&quot;27.01&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.45&quot; BeamWidthAthwartship=&quot;5.32&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;141945&quot; Gain=&quot;27.16&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.36&quot; BeamWidthAthwartship=&quot;5.33&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;142408&quot; Gain=&quot;27.39&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.3&quot; BeamWidthAthwartship=&quot;5.28&quot; AngleOffsetAlongship=&quot;-0.21&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;142870&quot; Gain=&quot;27.67&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.29&quot; BeamWidthAthwartship=&quot;5.26&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.2&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;143333&quot; Gain=&quot;27.97&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.31&quot; BeamWidthAthwartship=&quot;5.18&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;143795&quot; Gain=&quot;28.13&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.24&quot; BeamWidthAthwartship=&quot;5.19&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;144258&quot; Gain=&quot;28.09&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.25&quot; BeamWidthAthwartship=&quot;5.19&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;144720&quot; Gain=&quot;27.98&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.25&quot; BeamWidthAthwartship=&quot;5.17&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;145183&quot; Gain=&quot;27.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.19&quot; BeamWidthAthwartship=&quot;5.15&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;145645&quot; Gain=&quot;27.77&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.2&quot; BeamWidthAthwartship=&quot;5.07&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;146108&quot; Gain=&quot;27.75&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.16&quot; BeamWidthAthwartship=&quot;5&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;146570&quot; Gain=&quot;27.71&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.13&quot; BeamWidthAthwartship=&quot;5.07&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;147033&quot; Gain=&quot;27.74&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.07&quot; BeamWidthAthwartship=&quot;5.03&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;147495&quot; Gain=&quot;27.8&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.95&quot; BeamWidthAthwartship=&quot;5.01&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;147957&quot; Gain=&quot;27.86&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.95&quot; BeamWidthAthwartship=&quot;4.96&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;148420&quot; Gain=&quot;27.96&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.97&quot; BeamWidthAthwartship=&quot;4.92&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;148882&quot; Gain=&quot;28&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.95&quot; BeamWidthAthwartship=&quot;4.92&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;149345&quot; Gain=&quot;28.04&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.9&quot; BeamWidthAthwartship=&quot;4.91&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;149807&quot; Gain=&quot;28&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.92&quot; BeamWidthAthwartship=&quot;4.88&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;150270&quot; Gain=&quot;27.89&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.89&quot; BeamWidthAthwartship=&quot;4.88&quot; AngleOffsetAlongship=&quot;-0.14&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;150732&quot; Gain=&quot;27.78&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.84&quot; BeamWidthAthwartship=&quot;4.89&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;151195&quot; Gain=&quot;27.74&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.81&quot; BeamWidthAthwartship=&quot;4.78&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;151657&quot; Gain=&quot;27.67&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.84&quot; BeamWidthAthwartship=&quot;4.79&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;152120&quot; Gain=&quot;27.68&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.84&quot; BeamWidthAthwartship=&quot;4.79&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;152582&quot; Gain=&quot;27.75&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.79&quot; BeamWidthAthwartship=&quot;4.85&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.2&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;153045&quot; Gain=&quot;27.88&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.8&quot; BeamWidthAthwartship=&quot;4.82&quot; AngleOffsetAlongship=&quot;-0.19&quot; AngleOffsetAthwartship=&quot;0.23&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;153507&quot; Gain=&quot;28.02&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.79&quot; BeamWidthAthwartship=&quot;4.8&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.2&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;153969&quot; Gain=&quot;28.17&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.74&quot; BeamWidthAthwartship=&quot;4.78&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.21&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;154432&quot; Gain=&quot;28.32&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.71&quot; BeamWidthAthwartship=&quot;4.74&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;154894&quot; Gain=&quot;28.47&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.73&quot; BeamWidthAthwartship=&quot;4.72&quot; AngleOffsetAlongship=&quot;-0.18&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;155357&quot; Gain=&quot;28.55&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.7&quot; BeamWidthAthwartship=&quot;4.78&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;155819&quot; Gain=&quot;28.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.71&quot; BeamWidthAthwartship=&quot;4.7&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;156282&quot; Gain=&quot;28.71&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.67&quot; BeamWidthAthwartship=&quot;4.75&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;156744&quot; Gain=&quot;28.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.67&quot; BeamWidthAthwartship=&quot;4.71&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;157207&quot; Gain=&quot;28.54&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.69&quot; BeamWidthAthwartship=&quot;4.67&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;157669&quot; Gain=&quot;28.36&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.54&quot; BeamWidthAthwartship=&quot;4.75&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;158000&quot; Gain=&quot;28.29&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;4.54&quot; BeamWidthAthwartship=&quot;4.66&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                    &lt;/Transducer&gt;\\n                &lt;/Channel&gt;\\n            &lt;/Channels&gt;\\n        &lt;/Transceiver&gt;\\n        &lt;Transceiver TransceiverName=&quot;WBT 400145&quot; IPAddress=&quot;157.237.15.105&quot; MarketSegment=&quot;Scientific&quot; SerialNumber=&quot;400145&quot; Impedance=&quot;5400&quot; Multiplexing=&quot;0&quot; RxSampleFrequency=&quot;1500000&quot; TransceiverType=&quot;WBT&quot; EthernetAddress=&quot;009072061b11&quot; Version=&quot;[0] Ethernet: 00:90:72:06:1B:11&amp;#x0D;&amp;#x0A;[1] Parts-list: WBT 371790/F&amp;#x0D;&amp;#x0A;[2] Product: WBT&amp;#x0D;&amp;#x0A;IP Address: 157.237.15.105&amp;#x0D;&amp;#x0A;Subnet mask: 255.255.0.0&amp;#x0D;&amp;#x0A;Default gateway: 157.237.15.1&amp;#x0D;&amp;#x0A;Serial number: 400145&amp;#x0D;&amp;#x0A;Embedded software: Rev. 2.54&amp;#x0D;&amp;#x0A;FPGA TX firmware: Rev. 5&amp;#x0D;&amp;#x0A;FPGA RX firmware: Rev. 7&amp;#x0D;&amp;#x0A;CH1: 518W CH2: 515W CH3: 510W CH4: 509W&amp;#x0D;&amp;#x0A;TRD1: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD2: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD3: Unable to detect transducer&amp;#x0D;&amp;#x0A;TRD4: Unable to detect transducer&amp;#x0D;&amp;#x0A;&quot; TransceiverSoftwareVersion=&quot;2.54&quot; TransceiverNumber=&quot;5&quot;&gt;\\n            &lt;Channels&gt;\\n                &lt;Channel ChannelID=&quot;WBT 400145-15 ES200-7C_ES&quot; LogicalChannelID=&quot;WBT 400145-15 ES200-7C&quot; ChannelIdShort=&quot;ES200 Shimada&quot; MaxTxPowerTransceiver=&quot;2000&quot; HWChannelConfiguration=&quot;15&quot; PulseDuration=&quot;6.4E-05;0.000128;0.000256;0.000512;0.001024&quot; PulseDurationFM=&quot;0.000512;0.001024;0.002048;0.004096;0.008192&quot;&gt;\\n                    &lt;Transducer TransducerName=&quot;ES200-7C&quot; ArticleNumber=&quot;KSV-203003&quot; SerialNumber=&quot;0&quot; Frequency=&quot;200000&quot; FrequencyMinimum=&quot;160000&quot; FrequencyMaximum=&quot;260000&quot; MaxTxPowerTransducer=&quot;150&quot; Gain=&quot;26;26;26;26;27.55&quot; SaCorrection=&quot;0;0;0;0;-0.09&quot; EquivalentBeamAngle=&quot;-20.7&quot; DirectivityDropAt2XBeamWidth=&quot;0&quot; AngleSensitivityAlongship=&quot;23&quot; AngleSensitivityAthwartship=&quot;23&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.25&quot; BeamWidthAlongship=&quot;6.79&quot; BeamWidthAthwartship=&quot;6.07&quot; BeamType=&quot;1&quot;&gt;\\n                        &lt;FrequencyPar Frequency=&quot;162000&quot; Gain=&quot;24.16&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;11.32&quot; BeamWidthAthwartship=&quot;7.77&quot; AngleOffsetAlongship=&quot;0.9&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;162981&quot; Gain=&quot;24.84&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;9.04&quot; BeamWidthAthwartship=&quot;7.06&quot; AngleOffsetAlongship=&quot;0.17&quot; AngleOffsetAthwartship=&quot;0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;163962&quot; Gain=&quot;25.38&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;10.95&quot; BeamWidthAthwartship=&quot;7.62&quot; AngleOffsetAlongship=&quot;0.22&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;164943&quot; Gain=&quot;28.08&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.84&quot; BeamWidthAthwartship=&quot;7.8&quot; AngleOffsetAlongship=&quot;-0.04&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;165924&quot; Gain=&quot;24.69&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.95&quot; BeamWidthAthwartship=&quot;7.79&quot; AngleOffsetAlongship=&quot;-0.11&quot; AngleOffsetAthwartship=&quot;0.2&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;166905&quot; Gain=&quot;25.39&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.15&quot; BeamWidthAthwartship=&quot;7.63&quot; AngleOffsetAlongship=&quot;-0.22&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;167886&quot; Gain=&quot;25.48&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.08&quot; BeamWidthAthwartship=&quot;7.1&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;168867&quot; Gain=&quot;25.8&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.66&quot; BeamWidthAthwartship=&quot;7.52&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;169848&quot; Gain=&quot;26.26&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.2&quot; BeamWidthAthwartship=&quot;7.14&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;179658&quot; Gain=&quot;26.42&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.82&quot; BeamWidthAthwartship=&quot;7.74&quot; AngleOffsetAlongship=&quot;-0.03&quot; AngleOffsetAthwartship=&quot;0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;180639&quot; Gain=&quot;26.71&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.73&quot; BeamWidthAthwartship=&quot;8.09&quot; AngleOffsetAlongship=&quot;0.05&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;181620&quot; Gain=&quot;27.17&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.15&quot; BeamWidthAthwartship=&quot;7.69&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;182601&quot; Gain=&quot;27.17&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.46&quot; BeamWidthAthwartship=&quot;7.88&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;183582&quot; Gain=&quot;26.95&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.12&quot; BeamWidthAthwartship=&quot;7.45&quot; AngleOffsetAlongship=&quot;-0.06&quot; AngleOffsetAthwartship=&quot;0.07&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;184563&quot; Gain=&quot;26.61&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.79&quot; BeamWidthAthwartship=&quot;7.82&quot; AngleOffsetAlongship=&quot;-0.03&quot; AngleOffsetAthwartship=&quot;0.05&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;185544&quot; Gain=&quot;26.83&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.15&quot; BeamWidthAthwartship=&quot;7.15&quot; AngleOffsetAlongship=&quot;0.03&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;186525&quot; Gain=&quot;27.31&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.15&quot; BeamWidthAthwartship=&quot;7.16&quot; AngleOffsetAlongship=&quot;0.03&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;187506&quot; Gain=&quot;27.62&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.74&quot; BeamWidthAthwartship=&quot;7.2&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;188486&quot; Gain=&quot;27.57&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.91&quot; BeamWidthAthwartship=&quot;7.33&quot; AngleOffsetAlongship=&quot;-0.08&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;189467&quot; Gain=&quot;27.29&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.59&quot; BeamWidthAthwartship=&quot;7.21&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;190448&quot; Gain=&quot;27.07&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;8.13&quot; BeamWidthAthwartship=&quot;7.25&quot; AngleOffsetAlongship=&quot;0.01&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;191429&quot; Gain=&quot;27.44&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.38&quot; BeamWidthAthwartship=&quot;6.6&quot; AngleOffsetAlongship=&quot;0.01&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;192410&quot; Gain=&quot;27.7&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.62&quot; BeamWidthAthwartship=&quot;7.05&quot; AngleOffsetAlongship=&quot;-0.01&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;193391&quot; Gain=&quot;27.83&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.38&quot; BeamWidthAthwartship=&quot;6.88&quot; AngleOffsetAlongship=&quot;-0.15&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;194372&quot; Gain=&quot;27.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.35&quot; BeamWidthAthwartship=&quot;6.75&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;195353&quot; Gain=&quot;27.31&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.03&quot; BeamWidthAthwartship=&quot;6.89&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;196334&quot; Gain=&quot;27.31&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.15&quot; BeamWidthAthwartship=&quot;6.5&quot; AngleOffsetAlongship=&quot;-0.05&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;197315&quot; Gain=&quot;27.66&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.02&quot; BeamWidthAthwartship=&quot;6.58&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;198296&quot; Gain=&quot;27.98&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.87&quot; BeamWidthAthwartship=&quot;6.45&quot; AngleOffsetAlongship=&quot;-0.1&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;199277&quot; Gain=&quot;27.99&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.23&quot; BeamWidthAthwartship=&quot;6.43&quot; AngleOffsetAlongship=&quot;-0.16&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;200258&quot; Gain=&quot;27.73&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.28&quot; BeamWidthAthwartship=&quot;6.57&quot; AngleOffsetAlongship=&quot;-0.22&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;201239&quot; Gain=&quot;27.53&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.05&quot; BeamWidthAthwartship=&quot;6.32&quot; AngleOffsetAlongship=&quot;-0.2&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;202220&quot; Gain=&quot;27.72&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.03&quot; BeamWidthAthwartship=&quot;6.31&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;203201&quot; Gain=&quot;28.02&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.77&quot; BeamWidthAthwartship=&quot;6.44&quot; AngleOffsetAlongship=&quot;0.07&quot; AngleOffsetAthwartship=&quot;0.15&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;204182&quot; Gain=&quot;28.29&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.39&quot; BeamWidthAthwartship=&quot;6.28&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.1&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;205163&quot; Gain=&quot;28.13&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.32&quot; BeamWidthAthwartship=&quot;6.73&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;206144&quot; Gain=&quot;27.84&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.03&quot; BeamWidthAthwartship=&quot;6.35&quot; AngleOffsetAlongship=&quot;-0.17&quot; AngleOffsetAthwartship=&quot;0.04&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;215954&quot; Gain=&quot;28.94&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.61&quot; BeamWidthAthwartship=&quot;6.01&quot; AngleOffsetAlongship=&quot;0.05&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;216935&quot; Gain=&quot;28.81&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.67&quot; BeamWidthAthwartship=&quot;6.17&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;217916&quot; Gain=&quot;28.46&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.51&quot; BeamWidthAthwartship=&quot;6.11&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;218897&quot; Gain=&quot;28.19&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.81&quot; BeamWidthAthwartship=&quot;5.8&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.17&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;219878&quot; Gain=&quot;28.44&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.46&quot; BeamWidthAthwartship=&quot;5.9&quot; AngleOffsetAlongship=&quot;0.08&quot; AngleOffsetAthwartship=&quot;0.2&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;220859&quot; Gain=&quot;28.89&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.3&quot; BeamWidthAthwartship=&quot;5.74&quot; AngleOffsetAlongship=&quot;0.07&quot; AngleOffsetAthwartship=&quot;0.19&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;221840&quot; Gain=&quot;29.07&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.24&quot; BeamWidthAthwartship=&quot;5.88&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;222821&quot; Gain=&quot;28.78&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.7&quot; BeamWidthAthwartship=&quot;6.13&quot; AngleOffsetAlongship=&quot;0.03&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;223802&quot; Gain=&quot;27.5&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.33&quot; BeamWidthAthwartship=&quot;6.05&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.16&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;224783&quot; Gain=&quot;26.81&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.37&quot; BeamWidthAthwartship=&quot;6.02&quot; AngleOffsetAlongship=&quot;0.04&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;225764&quot; Gain=&quot;27.19&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.02&quot; BeamWidthAthwartship=&quot;5.78&quot; AngleOffsetAlongship=&quot;0.02&quot; AngleOffsetAthwartship=&quot;0.12&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;226745&quot; Gain=&quot;27.7&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;7.76&quot; BeamWidthAthwartship=&quot;5.68&quot; AngleOffsetAlongship=&quot;0.17&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;227726&quot; Gain=&quot;28.74&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.17&quot; BeamWidthAthwartship=&quot;5.83&quot; AngleOffsetAlongship=&quot;-0.04&quot; AngleOffsetAthwartship=&quot;0.18&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;228707&quot; Gain=&quot;28.36&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.35&quot; BeamWidthAthwartship=&quot;5.95&quot; AngleOffsetAlongship=&quot;-0.13&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;229688&quot; Gain=&quot;27.99&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.1&quot; BeamWidthAthwartship=&quot;5.69&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;230669&quot; Gain=&quot;28.06&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.22&quot; BeamWidthAthwartship=&quot;5.86&quot; AngleOffsetAlongship=&quot;0.12&quot; AngleOffsetAthwartship=&quot;0.06&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;231650&quot; Gain=&quot;28.44&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.06&quot; BeamWidthAthwartship=&quot;5.8&quot; AngleOffsetAlongship=&quot;0.04&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;232631&quot; Gain=&quot;28.68&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.15&quot; BeamWidthAthwartship=&quot;5.67&quot; AngleOffsetAlongship=&quot;-0.01&quot; AngleOffsetAthwartship=&quot;0.14&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;233612&quot; Gain=&quot;28.53&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.24&quot; BeamWidthAthwartship=&quot;5.71&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;234593&quot; Gain=&quot;27.93&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.78&quot; BeamWidthAthwartship=&quot;6.11&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;235574&quot; Gain=&quot;27.9&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.6&quot; BeamWidthAthwartship=&quot;5.77&quot; AngleOffsetAlongship=&quot;-0.09&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;236555&quot; Gain=&quot;28.31&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.15&quot; BeamWidthAthwartship=&quot;5.55&quot; AngleOffsetAlongship=&quot;0&quot; AngleOffsetAthwartship=&quot;0.13&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;237536&quot; Gain=&quot;28.77&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.98&quot; BeamWidthAthwartship=&quot;5.49&quot; AngleOffsetAlongship=&quot;-0.02&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;238517&quot; Gain=&quot;28.81&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.6&quot; BeamWidthAthwartship=&quot;5.29&quot; AngleOffsetAlongship=&quot;-0.25&quot; AngleOffsetAthwartship=&quot;0.03&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;239497&quot; Gain=&quot;28.41&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;6.25&quot; BeamWidthAthwartship=&quot;5.91&quot; AngleOffsetAlongship=&quot;-0.12&quot; AngleOffsetAthwartship=&quot;0.11&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;240478&quot; Gain=&quot;28.33&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.95&quot; BeamWidthAthwartship=&quot;5.55&quot; AngleOffsetAlongship=&quot;-0.07&quot; AngleOffsetAthwartship=&quot;0.08&quot; /&gt;\\n                        &lt;FrequencyPar Frequency=&quot;241459&quot; Gain=&quot;28.35&quot; Impedance=&quot;75&quot; Phase=&quot;0&quot; BeamWidthAlongship=&quot;5.85&quot; BeamWidthAthwartship=&quot;5.38&quot; AngleOffsetAlongship=&quot;0.02&quot; AngleOffsetAthwartship=&quot;0.09&quot; /&gt;\\n                    &lt;/Transducer&gt;\\n                &lt;/Channel&gt;\\n            &lt;/Channels&gt;\\n        &lt;/Transceiver&gt;\\n    &lt;/Transceivers&gt;\\n    &lt;Transducers MergeOperation=&quot;AddNodeTree&quot;&gt;\\n        &lt;Transducer TransducerName=&quot;ES18&quot; TransducerSerialNumber=&quot;0&quot; TransducerCustomName=&quot;ES18 Shimada&quot; TransducerMounting=&quot;DropKeel&quot; TransducerOrientation=&quot;Vertical&quot; TransducerOffsetX=&quot;0&quot; TransducerOffsetY=&quot;0&quot; TransducerOffsetZ=&quot;0&quot; TransducerAlphaX=&quot;0&quot; TransducerAlphaY=&quot;0&quot; TransducerAlphaZ=&quot;0&quot; /&gt;\\n        &lt;Transducer TransducerName=&quot;ES38B&quot; TransducerSerialNumber=&quot;0&quot; TransducerCustomName=&quot;ES 38 Shimada&quot; TransducerMounting=&quot;DropKeel&quot; TransducerOrientation=&quot;Vertical&quot; TransducerOffsetX=&quot;0&quot; TransducerOffsetY=&quot;0&quot; TransducerOffsetZ=&quot;0&quot; TransducerAlphaX=&quot;0&quot; TransducerAlphaY=&quot;0&quot; TransducerAlphaZ=&quot;0&quot; /&gt;\\n        &lt;Transducer TransducerName=&quot;ES70-7C&quot; TransducerSerialNumber=&quot;0&quot; TransducerCustomName=&quot;ES70 Shimada&quot; TransducerMounting=&quot;DropKeel&quot; TransducerOrientation=&quot;Vertical&quot; TransducerOffsetX=&quot;0&quot; TransducerOffsetY=&quot;0&quot; TransducerOffsetZ=&quot;0&quot; TransducerAlphaX=&quot;0&quot; TransducerAlphaY=&quot;0&quot; TransducerAlphaZ=&quot;0&quot; /&gt;\\n        &lt;Transducer TransducerName=&quot;ES120-7C&quot; TransducerSerialNumber=&quot;0&quot; TransducerCustomName=&quot;ES120 Shimada&quot; TransducerMounting=&quot;DropKeel&quot; TransducerOrientation=&quot;Vertical&quot; TransducerOffsetX=&quot;0&quot; TransducerOffsetY=&quot;0&quot; TransducerOffsetZ=&quot;0&quot; TransducerAlphaX=&quot;0&quot; TransducerAlphaY=&quot;0&quot; TransducerAlphaZ=&quot;0&quot; /&gt;\\n        &lt;Transducer TransducerName=&quot;ES200-7C&quot; TransducerSerialNumber=&quot;0&quot; TransducerCustomName=&quot;ES200 Shimada&quot; TransducerMounting=&quot;DropKeel&quot; TransducerOrientation=&quot;Vertical&quot; TransducerOffsetX=&quot;0&quot; TransducerOffsetY=&quot;0&quot; TransducerOffsetZ=&quot;0&quot; TransducerAlphaX=&quot;0&quot; TransducerAlphaY=&quot;0&quot; TransducerAlphaZ=&quot;0&quot; /&gt;\\n    &lt;/Transducers&gt;\\n    &lt;ConfiguredSensors MergeOperation=&quot;AddNodeTree&quot;&gt;\\n        &lt;Sensor Name=&quot; Furuno GPS From Serial Port 8&quot; Type=&quot;GPS&quot; Port=&quot;Serial Port 8&quot; TalkerID=&quot;&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;GLL from  Furuno GPS From Serial Port 8&quot; SensorType=&quot;GPS&quot; Type=&quot;GLL&quot; SubscriptionPath=&quot; Furuno GPS From Serial Port 8@GPS.Geographical.Position&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Latitude&quot; Priority=&quot;3&quot; /&gt;\\n                &lt;Value Name=&quot;Longitude&quot; Priority=&quot;3&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;GGA from  Furuno GPS From Serial Port 8&quot; SensorType=&quot;GPS&quot; Type=&quot;GGA&quot; SubscriptionPath=&quot; Furuno GPS From Serial Port 8@GPS.Global.Position&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Latitude&quot; Priority=&quot;4&quot; /&gt;\\n                &lt;Value Name=&quot;Longitude&quot; Priority=&quot;4&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;RMC from  Furuno GPS From Serial Port 8&quot; SensorType=&quot;GPS&quot; Type=&quot;RMC&quot; SubscriptionPath=&quot; Furuno GPS From Serial Port 8@GPS.Specific.PositionSpeedCourse&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Latitude&quot; Priority=&quot;5&quot; /&gt;\\n                &lt;Value Name=&quot;Longitude&quot; Priority=&quot;5&quot; /&gt;\\n                &lt;Value Name=&quot;Course&quot; Priority=&quot;7&quot; /&gt;\\n                &lt;Value Name=&quot;Speed&quot; Priority=&quot;3&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;VTG from  Furuno GPS From Serial Port 8&quot; SensorType=&quot;GPS&quot; Type=&quot;VTG&quot; SubscriptionPath=&quot; Furuno GPS From Serial Port 8@GPS.Ground&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Course&quot; Priority=&quot;8&quot; /&gt;\\n                &lt;Value Name=&quot;CourseNotUsedMagnetic&quot; Priority=&quot;1&quot; /&gt;\\n                &lt;Value Name=&quot;Speed&quot; Priority=&quot;4&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;ZDA from  Furuno GPS From Serial Port 8&quot; SensorType=&quot;GPS&quot; Type=&quot;ZDA&quot; SubscriptionPath=&quot; Furuno GPS From Serial Port 8@GPS.TimeInfo&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;TimeInfo&quot; Priority=&quot;1&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n        &lt;Sensor Name=&quot;Gyro From POS/MV Serial Port 13&quot; Type=&quot;Gyro&quot; Port=&quot;Serial Port 13&quot; TalkerID=&quot;&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;HDT from Gyro From POS/MV Serial Port 13&quot; SensorType=&quot;Gyro&quot; Type=&quot;HDT&quot; SubscriptionPath=&quot;Gyro From POS/MV Serial Port 13@Gyro.HeadingTrue&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Heading&quot; Priority=&quot;1&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;HDM from Gyro From POS/MV Serial Port 13&quot; SensorType=&quot;Gyro&quot; Type=&quot;HDM&quot; SubscriptionPath=&quot;Gyro From POS/MV Serial Port 13@Gyro.HeadingMagnetic&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Heading&quot; Priority=&quot;2&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;HDG from Gyro From POS/MV Serial Port 13&quot; SensorType=&quot;Gyro&quot; Type=&quot;HDG&quot; SubscriptionPath=&quot;Gyro From POS/MV Serial Port 13@Gyro.HeadingMagneticDeviation&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Heading&quot; Priority=&quot;4&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;THS from Gyro From POS/MV Serial Port 13&quot; SensorType=&quot;Gyro&quot; Type=&quot;THS&quot; SubscriptionPath=&quot;Gyro From POS/MV Serial Port 13@Gyro.HeadingTrueStatus&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Heading&quot; Priority=&quot;6&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n        &lt;Sensor Name=&quot;ITI-FS From FS70&quot; Type=&quot;ITI-FS&quot; Port=&quot;Serial Port 11&quot; TalkerID=&quot;II&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;ITI-FS Datagrams from ITI-FS From FS70&quot; SensorType=&quot;ITI-FS&quot; Type=&quot;ITI-FS Datagrams&quot; SubscriptionPath=&quot;ITI-FS From FS70@ITI-FS.ITI-FS&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;ITI-FS&quot; Priority=&quot;2&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n        &lt;Sensor Name=&quot;ITI-FS From Serial Port 9&quot; Type=&quot;ITI-FS&quot; Port=&quot;Serial Port 9&quot; TalkerID=&quot;II&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;ITI-FS Datagrams from ITI-FS From Serial Port 9&quot; SensorType=&quot;ITI-FS&quot; Type=&quot;ITI-FS Datagrams&quot; SubscriptionPath=&quot;ITI-FS From Serial Port 9@ITI-FS.ITI-FS&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;ITI-FS&quot; Priority=&quot;2&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n        &lt;Sensor Name=&quot;GPS From POS/MV Port 13&quot; Type=&quot;GPS&quot; Port=&quot;Serial Port 13&quot; TalkerID=&quot;&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;GGA from GPS From POS/MV Port 13&quot; SensorType=&quot;GPS&quot; Type=&quot;GGA&quot; SubscriptionPath=&quot;GPS From POS/MV Port 13@GPS.Global.Position&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Latitude&quot; Priority=&quot;1&quot; /&gt;\\n                &lt;Value Name=&quot;Longitude&quot; Priority=&quot;1&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;RMC from GPS From POS/MV Port 13&quot; SensorType=&quot;GPS&quot; Type=&quot;RMC&quot; SubscriptionPath=&quot;GPS From POS/MV Port 13@GPS.Specific.PositionSpeedCourse&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Latitude&quot; Priority=&quot;2&quot; /&gt;\\n                &lt;Value Name=&quot;Longitude&quot; Priority=&quot;2&quot; /&gt;\\n                &lt;Value Name=&quot;Course&quot; Priority=&quot;3&quot; /&gt;\\n                &lt;Value Name=&quot;Speed&quot; Priority=&quot;1&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;VTG from GPS From POS/MV Port 13&quot; SensorType=&quot;GPS&quot; Type=&quot;VTG&quot; SubscriptionPath=&quot;GPS From POS/MV Port 13@GPS.Ground&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Course&quot; Priority=&quot;5&quot; /&gt;\\n                &lt;Value Name=&quot;CourseNotUsedMagnetic&quot; Priority=&quot;2&quot; /&gt;\\n                &lt;Value Name=&quot;Speed&quot; Priority=&quot;2&quot; /&gt;\\n            &lt;/Telegram&gt;\\n            &lt;Telegram Name=&quot;ZDA from GPS From POS/MV Port 13&quot; SensorType=&quot;GPS&quot; Type=&quot;ZDA&quot; SubscriptionPath=&quot;GPS From POS/MV Port 13@GPS.TimeInfo&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;TimeInfo&quot; Priority=&quot;2&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n        &lt;Sensor Name=&quot;Motion EM3000 From Serial Port 12&quot; Type=&quot;MotionBinary&quot; Port=&quot;Serial Port 12&quot; TalkerID=&quot;&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;MRU from Motion EM3000 From Serial Port 12&quot; SensorType=&quot;MotionBinary&quot; Type=&quot;MRU&quot; SubscriptionPath=&quot;Motion EM3000 From Serial Port 12@MotionBinary.MotionData&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Roll&quot; Priority=&quot;2&quot; /&gt;\\n                &lt;Value Name=&quot;Pitch&quot; Priority=&quot;2&quot; /&gt;\\n                &lt;Value Name=&quot;Heading&quot; Priority=&quot;9&quot; /&gt;\\n                &lt;Value Name=&quot;Heave&quot; Priority=&quot;2&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n        &lt;Sensor Name=&quot;Motion TSS1 From Serial Port 10&quot; Type=&quot;MotionAscii&quot; Port=&quot;Serial Port 10&quot; TalkerID=&quot;&quot; X=&quot;0&quot; Y=&quot;0&quot; Z=&quot;0&quot; AngleX=&quot;0&quot; AngleY=&quot;0&quot; AngleZ=&quot;0&quot; Unique=&quot;0&quot; Timeout=&quot;20&quot;&gt;\\n            &lt;Telegram Name=&quot;MRU from Motion TSS1 From Serial Port 10&quot; SensorType=&quot;MotionAscii&quot; Type=&quot;MRU&quot; SubscriptionPath=&quot;Motion TSS1 From Serial Port 10@MotionAscii.MotionData&quot; Enabled=&quot;1&quot;&gt;\\n                &lt;Value Name=&quot;Roll&quot; Priority=&quot;1&quot; /&gt;\\n                &lt;Value Name=&quot;Pitch&quot; Priority=&quot;1&quot; /&gt;\\n                &lt;Value Name=&quot;Heading_Dummy&quot; Priority=&quot;1&quot; /&gt;\\n                &lt;Value Name=&quot;Heave&quot; Priority=&quot;1&quot; /&gt;\\n            &lt;/Telegram&gt;\\n        &lt;/Sensor&gt;\\n    &lt;/ConfiguredSensors&gt;\\n&lt;/Configuration&gt;&#x27;,\n",
        "      dtype=&#x27;&lt;U74340&#x27;)</pre></div></li></ul></div></li></ul></div></div><br></div>\n",
        "                        </ul>\n",
        "                    </div>\n",
@@ -5901,7 +5986,7 @@
        "└── Vendor_specific: contains vendor-specific information about the sonar and the data."
       ]
      },
-     "execution_count": 4,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5953,7 +6038,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -5963,7 +6048,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -5999,7 +6084,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6015,7 +6100,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 11,
    "metadata": {
     "scrolled": true
    },
@@ -6614,7 +6699,7 @@
        "  * range_sample  (range_sample) int64 290kB 0 1 2 3 ... 36194 36195 36196 36197\n",
        "Attributes:\n",
        "    long_name:  Raw backscatter measurements (real part)\n",
-       "    units:      dB</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;backscatter_r&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>ping_time</span>: 213</li><li><span class='xr-has-index'>range_sample</span>: 36198</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5870afad-83d4-4339-b52e-f6f75b8deee9' class='xr-array-in' type='checkbox' checked><label for='section-5870afad-83d4-4339-b52e-f6f75b8deee9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>10.38 13.88 16.02 17.17 17.66 17.83 17.86 ... nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[  10.38318305,   13.87560136,   16.01573649, ...,\n",
+       "    units:      dB</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;backscatter_r&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>ping_time</span>: 213</li><li><span class='xr-has-index'>range_sample</span>: 36198</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8c25dc0b-7aef-44de-8f4a-efe048f9f457' class='xr-array-in' type='checkbox' checked><label for='section-8c25dc0b-7aef-44de-8f4a-efe048f9f457' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>10.38 13.88 16.02 17.17 17.66 17.83 17.86 ... nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[  10.38318305,   13.87560136,   16.01573649, ...,\n",
        "                   nan,           nan,           nan],\n",
        "        [  10.43021899,   13.91087832,   16.05101344, ...,\n",
        "                   nan,           nan,           nan],\n",
@@ -6654,12 +6739,12 @@
        "                   nan,           nan,           nan],\n",
        "        [   6.30281553,    9.07793581,   10.97113226, ...,\n",
        "                   nan,           nan,           nan]]],\n",
-       "      shape=(5, 213, 36198))</pre></div></div></li><li class='xr-section-item'><input id='section-8fb8868f-e1be-4d67-b7d0-7581d3b5abee' class='xr-section-summary-in' type='checkbox' checked /><label for='section-8fb8868f-e1be-4d67-b7d0-7581d3b5abee' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-ef67a438-cb21-4938-9992-0433d9fbb133' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef67a438-cb21-4938-9992-0433d9fbb133' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbe95cac-190d-463f-be4c-72cf0a167add' class='xr-var-data-in' type='checkbox'><label for='data-fbe95cac-190d-463f-be4c-72cf0a167add' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
+       "      shape=(5, 213, 36198))</pre></div></div></li><li class='xr-section-item'><input id='section-c9fa4a05-4577-42ee-8205-480ba9ae9858' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c9fa4a05-4577-42ee-8205-480ba9ae9858' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-60458f2e-543c-4ab3-a08b-bd4206ce9928' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60458f2e-543c-4ab3-a08b-bd4206ce9928' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22808c9f-19f7-41f2-862b-1673b703179f' class='xr-var-data-in' type='checkbox'><label for='data-22808c9f-19f7-41f2-862b-1673b703179f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
        "       &#x27;WBT 400142-15 ES70-7C_ES&#x27;, &#x27;WBT 400143-15 ES38B_ES&#x27;,\n",
-       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ping_time</span></div><div class='xr-var-dims'>(ping_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-e8264596-d290-4d05-b6a4-b61646b4f950' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8264596-d290-4d05-b6a4-b61646b4f950' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11ffaaca-895f-41a5-bb77-298eef17121b' class='xr-var-data-in' type='checkbox'><label for='data-11ffaaca-895f-41a5-bb77-298eef17121b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Timestamp of each ping</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:30.276106000&#x27;,\n",
+       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ping_time</span></div><div class='xr-var-dims'>(ping_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-bc74c023-d93d-4804-8c1b-2fd465e33ab4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc74c023-d93d-4804-8c1b-2fd465e33ab4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7b9acf6-1708-4d6c-b355-c8b74f47a826' class='xr-var-data-in' type='checkbox'><label for='data-d7b9acf6-1708-4d6c-b355-c8b74f47a826' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Timestamp of each ping</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:30.276106000&#x27;,\n",
        "       &#x27;2023-08-11T16:57:33.288034000&#x27;, ..., &#x27;2023-08-11T17:05:25.278637000&#x27;,\n",
        "       &#x27;2023-08-11T17:05:27.281294000&#x27;, &#x27;2023-08-11T17:05:29.279934000&#x27;],\n",
-       "      shape=(213,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_sample</span></div><div class='xr-var-dims'>(range_sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 36194 36195 36196 36197</div><input id='attrs-adb0e51b-7fe2-490c-9a11-26114938798f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adb0e51b-7fe2-490c-9a11-26114938798f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2612a074-0b3c-4d45-87bf-8241979fdad6' class='xr-var-data-in' type='checkbox'><label for='data-2612a074-0b3c-4d45-87bf-8241979fdad6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Along-range sample number, base 0</dd></dl></div><div class='xr-var-data'><pre>array([    0,     1,     2, ..., 36195, 36196, 36197], shape=(36198,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3080926-930d-4e5a-bb10-744f63be49d9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e3080926-930d-4e5a-bb10-744f63be49d9' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Raw backscatter measurements (real part)</dd><dt><span>units :</span></dt><dd>dB</dd></dl></div></li></ul></div></div>"
+       "      shape=(213,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_sample</span></div><div class='xr-var-dims'>(range_sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 36194 36195 36196 36197</div><input id='attrs-bd8a127a-44c2-4f19-a9cb-9a4cd0e7033b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd8a127a-44c2-4f19-a9cb-9a4cd0e7033b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e90d3f24-cd0e-4b25-a0f8-6252fafafff5' class='xr-var-data-in' type='checkbox'><label for='data-e90d3f24-cd0e-4b25-a0f8-6252fafafff5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Along-range sample number, base 0</dd></dl></div><div class='xr-var-data'><pre>array([    0,     1,     2, ..., 36195, 36196, 36197], shape=(36198,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-37e92c74-8094-4bb3-9219-cd0ae54a3063' class='xr-section-summary-in' type='checkbox' checked /><label for='section-37e92c74-8094-4bb3-9219-cd0ae54a3063' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Raw backscatter measurements (real part)</dd><dt><span>units :</span></dt><dd>dB</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'backscatter_r' (channel: 5, ping_time: 213,\n",
@@ -6714,7 +6799,7 @@
        "    units:      dB"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6726,7 +6811,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -7283,7 +7368,7 @@
        "  * range_sample  (range_sample) int64 290kB 0 1 2 3 ... 36194 36195 36196 36197\n",
        "Attributes:\n",
        "    long_name:  Raw backscatter measurements (real part)\n",
-       "    units:      dB</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;backscatter_r&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>ping_time</span>: 213</li><li><span class='xr-has-index'>range_sample</span>: 36198</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-80e2f6e4-d2aa-402e-af08-b691d0c34eba' class='xr-array-in' type='checkbox' checked><label for='section-80e2f6e4-d2aa-402e-af08-b691d0c34eba' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(5, 213, 11737), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
+       "    units:      dB</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;backscatter_r&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>ping_time</span>: 213</li><li><span class='xr-has-index'>range_sample</span>: 36198</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-347b42a9-eaaf-49ca-a9f5-1dc815c312d4' class='xr-array-in' type='checkbox' checked><label for='section-347b42a9-eaaf-49ca-a9f5-1dc815c312d4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(5, 213, 11737), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -7367,12 +7452,12 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></div></li><li class='xr-section-item'><input id='section-40497d9d-3ba9-4acc-b470-405f03230d03' class='xr-section-summary-in' type='checkbox' checked /><label for='section-40497d9d-3ba9-4acc-b470-405f03230d03' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-6358b37d-27f9-4808-8224-ffd0de2ad1ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6358b37d-27f9-4808-8224-ffd0de2ad1ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5057ad89-38f5-4e9e-89f5-9639889a9d63' class='xr-var-data-in' type='checkbox'><label for='data-5057ad89-38f5-4e9e-89f5-9639889a9d63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
+       "</table></div></div></li><li class='xr-section-item'><input id='section-adc52629-e108-4e62-ba83-cc3a39716c08' class='xr-section-summary-in' type='checkbox' checked /><label for='section-adc52629-e108-4e62-ba83-cc3a39716c08' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-9ef5c4f5-236e-498c-b541-0dd031f8fd45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ef5c4f5-236e-498c-b541-0dd031f8fd45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b07f7ca-cca0-4c4d-b59b-1acec8e10982' class='xr-var-data-in' type='checkbox'><label for='data-4b07f7ca-cca0-4c4d-b59b-1acec8e10982' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
        "       &#x27;WBT 400142-15 ES70-7C_ES&#x27;, &#x27;WBT 400143-15 ES38B_ES&#x27;,\n",
-       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ping_time</span></div><div class='xr-var-dims'>(ping_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-d2416fc6-b839-424f-9a98-3d1efce683c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2416fc6-b839-424f-9a98-3d1efce683c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb63948f-ba8c-4095-8e39-609976ed7d6d' class='xr-var-data-in' type='checkbox'><label for='data-fb63948f-ba8c-4095-8e39-609976ed7d6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Timestamp of each ping</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:30.276106000&#x27;,\n",
+       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ping_time</span></div><div class='xr-var-dims'>(ping_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-770e47e3-c215-4afa-944a-646c89896d85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-770e47e3-c215-4afa-944a-646c89896d85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5482b493-d83d-4d57-9516-a75d0a653f6e' class='xr-var-data-in' type='checkbox'><label for='data-5482b493-d83d-4d57-9516-a75d0a653f6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Timestamp of each ping</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:30.276106000&#x27;,\n",
        "       &#x27;2023-08-11T16:57:33.288034000&#x27;, ..., &#x27;2023-08-11T17:05:25.278637000&#x27;,\n",
        "       &#x27;2023-08-11T17:05:27.281294000&#x27;, &#x27;2023-08-11T17:05:29.279934000&#x27;],\n",
-       "      shape=(213,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_sample</span></div><div class='xr-var-dims'>(range_sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 36194 36195 36196 36197</div><input id='attrs-d106fdee-b02e-4998-a1c0-80a27cb6250a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d106fdee-b02e-4998-a1c0-80a27cb6250a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ff533ab-937e-4f14-a981-049dd33a3009' class='xr-var-data-in' type='checkbox'><label for='data-2ff533ab-937e-4f14-a981-049dd33a3009' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Along-range sample number, base 0</dd></dl></div><div class='xr-var-data'><pre>array([    0,     1,     2, ..., 36195, 36196, 36197], shape=(36198,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0342c37a-5e94-450b-b9a4-abfb6d5370df' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0342c37a-5e94-450b-b9a4-abfb6d5370df' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Raw backscatter measurements (real part)</dd><dt><span>units :</span></dt><dd>dB</dd></dl></div></li></ul></div></div>"
+       "      shape=(213,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_sample</span></div><div class='xr-var-dims'>(range_sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 36194 36195 36196 36197</div><input id='attrs-92289b9f-67cd-45a5-8b6b-c90ae1ffee41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92289b9f-67cd-45a5-8b6b-c90ae1ffee41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9bd7d4b-8e7b-42c3-bff5-dbbeb8e845de' class='xr-var-data-in' type='checkbox'><label for='data-d9bd7d4b-8e7b-42c3-bff5-dbbeb8e845de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Along-range sample number, base 0</dd></dl></div><div class='xr-var-data'><pre>array([    0,     1,     2, ..., 36195, 36196, 36197], shape=(36198,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bede0168-e556-42c0-94af-4186bb968928' class='xr-section-summary-in' type='checkbox' checked /><label for='section-bede0168-e556-42c0-94af-4186bb968928' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Raw backscatter measurements (real part)</dd><dt><span>units :</span></dt><dd>dB</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'backscatter_r' (channel: 5, ping_time: 213,\n",
@@ -7387,7 +7472,7 @@
        "    units:      dB"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7406,7 +7491,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -7429,7 +7514,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -7441,7 +7526,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -7990,68 +8075,68 @@
        "  stroke-width: 0.8px;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 126kB\n",
-       "Dimensions:                      (channel: 5, time1: 1451, time2: 1837, time3: 1)\n",
+       "Dimensions:                      (channel: 5, time3: 1, time2: 1837, time1: 1451)\n",
        "Coordinates:\n",
        "  * channel                      (channel) StringDType() 80B &#x27;WBT 400140-15 E...\n",
-       "  * time1                        (time1) datetime64[ns] 12kB 2023-08-11T16:57...\n",
-       "  * time2                        (time2) datetime64[ns] 15kB 2023-08-11T16:57...\n",
        "  * time3                        (time3) datetime64[ns] 8B 2023-08-11T16:57:2...\n",
+       "  * time2                        (time2) datetime64[ns] 15kB 2023-08-11T16:57...\n",
+       "  * time1                        (time1) datetime64[ns] 12kB 2023-08-11T16:57...\n",
        "Data variables: (12/26)\n",
+       "    drop_keel_offset             float64 8B ...\n",
+       "    frequency_nominal            (channel) float64 40B ...\n",
+       "    drop_keel_offset_is_manual   int64 8B ...\n",
+       "    latitude_mru1                (time3) float64 8B ...\n",
+       "    heading                      (time2) float64 15kB ...\n",
+       "    latitude                     (time1) float64 12kB ...\n",
+       "    ...                           ...\n",
+       "    transducer_offset_x          (channel) float64 40B ...\n",
+       "    transducer_offset_y          (channel) float64 40B ...\n",
        "    transducer_offset_z          (channel) float64 40B ...\n",
-       "    MRU_offset_z                 float64 8B ...\n",
-       "    position_offset_y            float64 8B ...\n",
        "    water_level                  float64 8B ...\n",
-       "    sentence_type                (time1) &lt;U3 17kB ...\n",
-       "    roll                         (time2) float64 15kB ...\n",
-       "    ...                           ...\n",
-       "    MRU_rotation_x               float64 8B ...\n",
-       "    position_offset_z            float64 8B ...\n",
-       "    latitude_mru1                (time3) float64 8B ...\n",
-       "    position_offset_x            float64 8B ...\n",
-       "    frequency_nominal            (channel) float64 40B ...\n",
-       "    MRU_offset_x                 float64 8B ...\n",
+       "    vertical_offset              (time2) float64 15kB ...\n",
+       "    water_level_draft_is_manual  int64 8B ...\n",
        "Attributes:\n",
        "    platform_name:       \n",
        "    platform_type:       \n",
-       "    platform_code_ICES:  </pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8c80999f-e415-4639-995a-a01be57a03bf' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-8c80999f-e415-4639-995a-a01be57a03bf' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>time1</span>: 1451</li><li><span class='xr-has-index'>time2</span>: 1837</li><li><span class='xr-has-index'>time3</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-c3b8051c-3a77-4b34-b7fa-35d2c187249e' class='xr-section-summary-in' type='checkbox' checked /><label for='section-c3b8051c-3a77-4b34-b7fa-35d2c187249e' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>StringDType()</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-706b86b0-ceff-40a6-a4d1-b0a2ab85c0bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-706b86b0-ceff-40a6-a4d1-b0a2ab85c0bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1737d4d0-0e1d-46c7-992d-bae08394d050' class='xr-var-data-in' type='checkbox'><label for='data-1737d4d0-0e1d-46c7-992d-bae08394d050' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
+       "    platform_code_ICES:  </pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a68e5b31-317d-4d39-9f57-2fff87ce49eb' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-a68e5b31-317d-4d39-9f57-2fff87ce49eb' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>time3</span>: 1</li><li><span class='xr-has-index'>time2</span>: 1837</li><li><span class='xr-has-index'>time1</span>: 1451</li></ul></div></li><li class='xr-section-item'><input id='section-d45fe2be-3894-46a0-a0b6-eb5e5700e3e6' class='xr-section-summary-in' type='checkbox' checked /><label for='section-d45fe2be-3894-46a0-a0b6-eb5e5700e3e6' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>StringDType()</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-90d88ef7-208b-4d60-a3c5-7bb35e5293fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90d88ef7-208b-4d60-a3c5-7bb35e5293fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72f2c71c-2bd2-4d78-9db1-bd8444adee00' class='xr-var-data-in' type='checkbox'><label for='data-72f2c71c-2bd2-4d78-9db1-bd8444adee00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Vendor channel ID</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
        "       &#x27;WBT 400142-15 ES70-7C_ES&#x27;, &#x27;WBT 400143-15 ES38B_ES&#x27;,\n",
-       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=StringDType())</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time1</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-b2191bb2-ae87-4091-9ce6-0f9d35e83ff1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2191bb2-ae87-4091-9ce6-0f9d35e83ff1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1714b80-c242-4c54-8a83-401f4dffd885' class='xr-var-data-in' type='checkbox'><label for='data-b1714b80-c242-4c54-8a83-401f4dffd885' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to NMEA position data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:27.277163000&#x27;,\n",
-       "       &#x27;2023-08-11T16:57:27.277163000&#x27;, ..., &#x27;2023-08-11T17:05:30.095901000&#x27;,\n",
-       "       &#x27;2023-08-11T17:05:29.858971000&#x27;, &#x27;2023-08-11T17:05:30.086050000&#x27;],\n",
-       "      shape=(1451,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time2</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:28.465496 ... 2...</div><input id='attrs-38075207-0546-49a4-b02c-dd43f44297c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38075207-0546-49a4-b02c-dd43f44297c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a876e60-43f4-4e59-bb27-f50f558e263a' class='xr-var-data-in' type='checkbox'><label for='data-6a876e60-43f4-4e59-bb27-f50f558e263a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform motion and orientation data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:28.465496000&#x27;, &#x27;2023-08-11T16:57:28.739187000&#x27;,\n",
+       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=StringDType())</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time3</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163</div><input id='attrs-dbd4c8ae-1495-414a-a378-6f866464396b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbd4c8ae-1495-414a-a378-6f866464396b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe5c8315-2e4c-43a1-b2c4-754268e955c0' class='xr-var-data-in' type='checkbox'><label for='data-fe5c8315-2e4c-43a1-b2c4-754268e955c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data from the Kongsberg Maritime Binary Datagram</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform motion and orientation data from the Kongsberg Maritime Binary Datagram.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time2</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:28.465496 ... 2...</div><input id='attrs-ced14594-f135-4fd5-958f-f0e1624a4f04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ced14594-f135-4fd5-958f-f0e1624a4f04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4077bbbd-ca6f-4700-91f5-e5545a8e7c52' class='xr-var-data-in' type='checkbox'><label for='data-4077bbbd-ca6f-4700-91f5-e5545a8e7c52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform motion and orientation data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:28.465496000&#x27;, &#x27;2023-08-11T16:57:28.739187000&#x27;,\n",
        "       &#x27;2023-08-11T16:57:28.953922000&#x27;, ..., &#x27;2023-08-11T17:05:30.767675000&#x27;,\n",
        "       &#x27;2023-08-11T17:05:31.043379000&#x27;, &#x27;2023-08-11T17:05:31.258127000&#x27;],\n",
-       "      shape=(1837,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time3</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163</div><input id='attrs-1d32d924-c8f4-4e93-9c92-d5a52c9a5da9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d32d924-c8f4-4e93-9c92-d5a52c9a5da9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b442a004-b0c7-4fe6-a0fa-be5ae4698475' class='xr-var-data-in' type='checkbox'><label for='data-b442a004-b0c7-4fe6-a0fa-be5ae4698475' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for platform motion and orientation data from the Kongsberg Maritime Binary Datagram</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to platform motion and orientation data from the Kongsberg Maritime Binary Datagram.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cec2b181-bc1c-4e81-ba77-375dbfe80db9' class='xr-section-summary-in' type='checkbox' /><label for='section-cec2b181-bc1c-4e81-ba77-375dbfe80db9' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_z</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-684042a3-f862-41e4-8147-8793df6bf685' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-684042a3-f862-41e4-8147-8793df6bf685' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7889040-4983-48c7-ada4-ef97c7ae53b2' class='xr-var-data-in' type='checkbox'><label for='data-d7889040-4983-48c7-ada4-ef97c7ae53b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[5 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e58cffa6-d8fc-4216-9fc0-8075952961f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e58cffa6-d8fc-4216-9fc0-8075952961f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-934e7b2d-75c7-4fb7-933a-0a20f029f521' class='xr-var-data-in' type='checkbox'><label for='data-934e7b2d-75c7-4fb7-933a-0a20f029f521' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the z-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b5f729b8-dfd3-46f4-9cd6-75983b3a6ec4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5f729b8-dfd3-46f4-9cd6-75983b3a6ec4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a8da528-d294-437a-94cd-5dafba751716' class='xr-var-data-in' type='checkbox'><label for='data-8a8da528-d294-437a-94cd-5dafba751716' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the y-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0c1fb6d7-7469-4d5a-9550-f61134382fda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c1fb6d7-7469-4d5a-9550-f61134382fda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc3db9cb-393c-4f5d-9153-7728132bc906' class='xr-var-data-in' type='checkbox'><label for='data-dc3db9cb-393c-4f5d-9153-7728132bc906' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance from the platform coordinate system origin to the nominal water level along the z-axis</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sentence_type</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3482290d-15e8-497c-a736-e36182008bd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3482290d-15e8-497c-a736-e36182008bd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da074744-b285-421b-8949-0816ecbc7063' class='xr-var-data-in' type='checkbox'><label for='data-da074744-b285-421b-8949-0816ecbc7063' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>NMEA sentence type</dd></dl></div><div class='xr-var-data'><pre>[1451 values with dtype=&lt;U3]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f992ec4-23f3-4784-b7af-d46400469053' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f992ec4-23f3-4784-b7af-d46400469053' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d10df36f-1df0-438e-b8f2-3def2aa54af0' class='xr-var-data-in' type='checkbox'><label for='data-d10df36f-1df0-438e-b8f2-3def2aa54af0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><pre>[1837 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dee519fc-b1d5-4acc-82c1-42c41d84f5d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dee519fc-b1d5-4acc-82c1-42c41d84f5d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aab2129-2880-4e73-9015-0cc055f70902' class='xr-var-data-in' type='checkbox'><label for='data-9aab2129-2880-4e73-9015-0cc055f70902' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><pre>[1451 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-de573698-2e16-445f-ad94-672ebab66bd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de573698-2e16-445f-ad94-672ebab66bd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba2f046c-953b-4e70-b12a-9dee671ca450' class='xr-var-data-in' type='checkbox'><label for='data-ba2f046c-953b-4e70-b12a-9dee671ca450' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the y-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_offset</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-52c69eab-39f2-4f43-8773-40f115bc0d30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52c69eab-39f2-4f43-8773-40f115bc0d30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47d3cffa-686e-4ab7-92fb-c0edd8d5ff12' class='xr-var-data-in' type='checkbox'><label for='data-47d3cffa-686e-4ab7-92fb-c0edd8d5ff12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform vertical offset from nominal water level</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1837 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drop_keel_offset_is_manual</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b9a2a31-7398-460c-8fbe-2f5bd3a6b57c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b9a2a31-7398-460c-8fbe-2f5bd3a6b57c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7c54908-2b89-488f-bd71-77e00b92a5d1' class='xr-var-data-in' type='checkbox'><label for='data-d7c54908-2b89-488f-bd71-77e00b92a5d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-73e43f99-bd6c-4a01-9131-aa36548f4682' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73e43f99-bd6c-4a01-9131-aa36548f4682' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f61c95b-7a3f-480f-af57-932bb5dd22bc' class='xr-var-data-in' type='checkbox'><label for='data-4f61c95b-7a3f-480f-af57-932bb5dd22bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform heading (true)</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>360.0</dd></dl></div><div class='xr-var-data'><pre>[1837 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_mru1</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-33e9dec1-7e35-4359-bc4b-1052617002ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33e9dec1-7e35-4359-bc4b-1052617002ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0d81f2b-4178-4b4a-8f63-58a0ed4d62b7' class='xr-var-data-in' type='checkbox'><label for='data-c0d81f2b-4178-4b4a-8f63-58a0ed4d62b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_range :</span></dt><dd>(-180.0, 180.0)</dd><dt><span>comment :</span></dt><dd>Derived from the Simrad MRU1 Datagrams which are a wrapper of the Kongsberg Maritime Binary Datagrams.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drop_keel_offset</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-879c8020-2501-4d6d-82bb-38cc5b5228a3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-879c8020-2501-4d6d-82bb-38cc5b5228a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1abc7cd9-617f-427c-b084-7bcc99ca7f1c' class='xr-var-data-in' type='checkbox'><label for='data-1abc7cd9-617f-427c-b084-7bcc99ca7f1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_x</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b68a1fd-f1de-4d1c-b7bc-a3710b81bbcb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b68a1fd-f1de-4d1c-b7bc-a3710b81bbcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-109c6e50-e71e-4766-ad07-fd0661593fb1' class='xr-var-data-in' type='checkbox'><label for='data-109c6e50-e71e-4766-ad07-fd0661593fb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[5 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4fe5fc4d-0600-42d4-8332-6c0a765b107a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fe5fc4d-0600-42d4-8332-6c0a765b107a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-834509ab-4ce5-429c-b716-cf4f9e988410' class='xr-var-data-in' type='checkbox'><label for='data-834509ab-4ce5-429c-b716-cf4f9e988410' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the z-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-139ce4dd-e2c6-47f0-bcda-a701c107bee6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-139ce4dd-e2c6-47f0-bcda-a701c107bee6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d72c5d85-96b0-48b8-90cc-32bd1d0e1e14' class='xr-var-data-in' type='checkbox'><label for='data-d72c5d85-96b0-48b8-90cc-32bd1d0e1e14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_range :</span></dt><dd>(-180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>[1451 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d38bb1a-2b7d-49dc-81a2-6a0e37f14079' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d38bb1a-2b7d-49dc-81a2-6a0e37f14079' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-700e38fa-a166-41ee-ab11-4f3a39830077' class='xr-var-data-in' type='checkbox'><label for='data-700e38fa-a166-41ee-ab11-4f3a39830077' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><pre>[1837 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_level_draft_is_manual</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b36fff82-c98a-41ca-b64e-ebe2ad4c9f87' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b36fff82-c98a-41ca-b64e-ebe2ad4c9f87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78b1d80f-ebca-441e-b48c-69fedce39cba' class='xr-var-data-in' type='checkbox'><label for='data-78b1d80f-ebca-441e-b48c-69fedce39cba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_y</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8cf522d7-9977-41fd-8f25-d6ea90fcd2d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cf522d7-9977-41fd-8f25-d6ea90fcd2d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35e5843b-1237-44be-bfe5-56282270b3e5' class='xr-var-data-in' type='checkbox'><label for='data-35e5843b-1237-44be-bfe5-56282270b3e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[5 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-50e33c0f-9e24-4299-b725-1c543f0221f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50e33c0f-9e24-4299-b725-1c543f0221f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcf2efb6-ccc0-4899-a7a9-645fb3cb5ea4' class='xr-var-data-in' type='checkbox'><label for='data-fcf2efb6-ccc0-4899-a7a9-645fb3cb5ea4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the y-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0adcd0f0-106e-4baa-8d8c-8c7bb58e0c1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0adcd0f0-106e-4baa-8d8c-8c7bb58e0c1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa9a439b-a45e-4cca-84e7-524f5d05217c' class='xr-var-data-in' type='checkbox'><label for='data-aa9a439b-a45e-4cca-84e7-524f5d05217c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the x-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-85681396-aa40-4c34-875a-9a0d95673f77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85681396-aa40-4c34-875a-9a0d95673f77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8328a4be-7233-4274-90d9-f11e5bdc33b8' class='xr-var-data-in' type='checkbox'><label for='data-8328a4be-7233-4274-90d9-f11e5bdc33b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the z-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_mru1</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-76c4a713-afea-4239-a570-66f1d9b03377' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76c4a713-afea-4239-a570-66f1d9b03377' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-848585fa-4441-4eb6-b5bf-1d394a5f96d8' class='xr-var-data-in' type='checkbox'><label for='data-848585fa-4441-4eb6-b5bf-1d394a5f96d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd><dt><span>comment :</span></dt><dd>Derived from the Simrad MRU1 Datagrams which are a wrapper of the Kongsberg Maritime Binary Datagrams.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eb899a3f-0d73-45a9-977e-dd0642b41660' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb899a3f-0d73-45a9-977e-dd0642b41660' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e18bc0d6-65c1-4947-8503-3ac71cf917e2' class='xr-var-data-in' type='checkbox'><label for='data-e18bc0d6-65c1-4947-8503-3ac71cf917e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the x-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-710d59f6-4727-41b6-a384-9f5efd98bc9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-710d59f6-4727-41b6-a384-9f5efd98bc9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3652977e-503c-47d9-a3eb-9ce331f5e5b2' class='xr-var-data-in' type='checkbox'><label for='data-3652977e-503c-47d9-a3eb-9ce331f5e5b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>[5 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4ca60544-6585-4b1b-8971-511493760154' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ca60544-6585-4b1b-8971-511493760154' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bb70d65-518b-4b72-8f92-cbfe6e09a15c' class='xr-var-data-in' type='checkbox'><label for='data-1bb70d65-518b-4b72-8f92-cbfe6e09a15c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the x-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3117ede8-40cb-4d9d-b149-24a909c8d97a' class='xr-section-summary-in' type='checkbox' checked /><label for='section-3117ede8-40cb-4d9d-b149-24a909c8d97a' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>platform_name :</span></dt><dd></dd><dt><span>platform_type :</span></dt><dd></dd><dt><span>platform_code_ICES :</span></dt><dd></dd></dl></div></li></ul></div></div>"
+       "      shape=(1837,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time1</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-fc9054e8-6e32-4fe9-94cd-2b15fd526658' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc9054e8-6e32-4fe9-94cd-2b15fd526658' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dbeb100-3252-4912-ba5a-aed510c56b11' class='xr-var-data-in' type='checkbox'><label for='data-1dbeb100-3252-4912-ba5a-aed510c56b11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>Timestamps for NMEA datagrams</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Time coordinate corresponding to NMEA position data.</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:27.277163000&#x27;,\n",
+       "       &#x27;2023-08-11T16:57:27.277163000&#x27;, ..., &#x27;2023-08-11T17:05:30.095901000&#x27;,\n",
+       "       &#x27;2023-08-11T17:05:29.858971000&#x27;, &#x27;2023-08-11T17:05:30.086050000&#x27;],\n",
+       "      shape=(1451,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-41a095a0-6176-477f-b932-f42a2d05452a' class='xr-section-summary-in' type='checkbox' /><label for='section-41a095a0-6176-477f-b932-f42a2d05452a' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>drop_keel_offset</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f80d754c-c3b8-4edf-9ebc-03ce42b10f64' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f80d754c-c3b8-4edf-9ebc-03ce42b10f64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a60deab-9967-49ce-a3a8-a95c2c9324ff' class='xr-var-data-in' type='checkbox'><label for='data-1a60deab-9967-49ce-a3a8-a95c2c9324ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a9329ada-66ad-46b4-ab78-76f83452fb63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9329ada-66ad-46b4-ab78-76f83452fb63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-197c927b-3e6a-4415-87b9-facc411bdbe7' class='xr-var-data-in' type='checkbox'><label for='data-197c927b-3e6a-4415-87b9-facc411bdbe7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>[5 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drop_keel_offset_is_manual</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5415371f-a511-4821-9a76-9e9dc7b2e664' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5415371f-a511-4821-9a76-9e9dc7b2e664' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45b91c01-e74f-442e-bfb0-7c2f414ddf10' class='xr-var-data-in' type='checkbox'><label for='data-45b91c01-e74f-442e-bfb0-7c2f414ddf10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_mru1</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b28eb5a-2fee-4168-b486-ef9080c4e09f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b28eb5a-2fee-4168-b486-ef9080c4e09f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f1c5195-f970-4c2f-99c9-9be378e8be01' class='xr-var-data-in' type='checkbox'><label for='data-2f1c5195-f970-4c2f-99c9-9be378e8be01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd><dt><span>comment :</span></dt><dd>Derived from the Simrad MRU1 Datagrams which are a wrapper of the Kongsberg Maritime Binary Datagrams.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ea6dab12-f6a9-4054-aebf-200b3d308371' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea6dab12-f6a9-4054-aebf-200b3d308371' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0c67e97-ddef-4672-b5ce-83b140345f7a' class='xr-var-data-in' type='checkbox'><label for='data-d0c67e97-ddef-4672-b5ce-83b140345f7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform heading (true)</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>360.0</dd></dl></div><div class='xr-var-data'><pre>[1837 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-37bd904c-392d-4ae4-b369-4d6cd55caab0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37bd904c-392d-4ae4-b369-4d6cd55caab0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-303eed46-e1c4-4320-8776-dfa2c6483350' class='xr-var-data-in' type='checkbox'><label for='data-303eed46-e1c4-4320-8776-dfa2c6483350' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><pre>[1451 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2eaaef47-9d13-43e6-9b39-274084324886' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2eaaef47-9d13-43e6-9b39-274084324886' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-348e2c7b-0d33-40c2-a9b4-db25d7f3ffa1' class='xr-var-data-in' type='checkbox'><label for='data-348e2c7b-0d33-40c2-a9b4-db25d7f3ffa1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the x-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d5b7f45-d970-4345-9d29-b487e28bf2cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d5b7f45-d970-4345-9d29-b487e28bf2cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18649b76-c5d2-4432-b951-f1c5dcfa0622' class='xr-var-data-in' type='checkbox'><label for='data-18649b76-c5d2-4432-b951-f1c5dcfa0622' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the y-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_mru1</span></div><div class='xr-var-dims'>(time3)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fdaef98e-6514-4b52-ad49-3f378f48f15c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdaef98e-6514-4b52-ad49-3f378f48f15c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d8bda51-b462-4fd9-90ec-892ee3d03836' class='xr-var-data-in' type='checkbox'><label for='data-0d8bda51-b462-4fd9-90ec-892ee3d03836' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_range :</span></dt><dd>(-180.0, 180.0)</dd><dt><span>comment :</span></dt><dd>Derived from the Simrad MRU1 Datagrams which are a wrapper of the Kongsberg Maritime Binary Datagrams.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-757f4307-071a-43f6-9786-c93597145a60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-757f4307-071a-43f6-9786-c93597145a60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97303c0a-2ec6-4a4f-be4b-525fbb29beff' class='xr-var-data-in' type='checkbox'><label for='data-97303c0a-2ec6-4a4f-be4b-525fbb29beff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_range :</span></dt><dd>(-180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>[1451 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d44b4df-eb41-4380-80ec-6c1f6950025d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d44b4df-eb41-4380-80ec-6c1f6950025d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9001a8b-3f8c-407d-aa2b-67cca1ddadc8' class='xr-var-data-in' type='checkbox'><label for='data-b9001a8b-3f8c-407d-aa2b-67cca1ddadc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the y-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9674d3ee-e25e-4664-b5ea-295f13b7e32f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9674d3ee-e25e-4664-b5ea-295f13b7e32f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f6928b1-d36d-48d7-9d17-13c030ee6ecc' class='xr-var-data-in' type='checkbox'><label for='data-9f6928b1-d36d-48d7-9d17-13c030ee6ecc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the x-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_x</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a07872fa-36c1-4864-9f11-771343996a3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a07872fa-36c1-4864-9f11-771343996a3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2697271a-26f5-47cc-93fd-1fa751e4751d' class='xr-var-data-in' type='checkbox'><label for='data-2697271a-26f5-47cc-93fd-1fa751e4751d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the x-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_offset_z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c763f9ff-7004-4d44-bfdd-bb99b14f10d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c763f9ff-7004-4d44-bfdd-bb99b14f10d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fafb220c-db00-4354-94e5-0b756fcca8e4' class='xr-var-data-in' type='checkbox'><label for='data-fafb220c-db00-4354-94e5-0b756fcca8e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the z-axis from the platform coordinate system origin to the motion reference unit sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MRU_rotation_z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7c0238c1-cb08-451b-983e-ce846c420179' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c0238c1-cb08-451b-983e-ce846c420179' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-980fa978-bdee-4bb8-a9d0-c209706c37a8' class='xr-var-data-in' type='checkbox'><label for='data-980fa978-bdee-4bb8-a9d0-c209706c37a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Extrinsic rotation about the z-axis from the platform to MRU coordinate systems</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(–180.0, 180.0)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c71ea77-0fed-41f9-a6fd-4c19001e577b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c71ea77-0fed-41f9-a6fd-4c19001e577b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4aa0662-9ec7-4231-bf5c-f24afe44ab77' class='xr-var-data-in' type='checkbox'><label for='data-f4aa0662-9ec7-4231-bf5c-f24afe44ab77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><pre>[1837 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8edbb152-1a0e-4751-9278-7ed662ecdecc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8edbb152-1a0e-4751-9278-7ed662ecdecc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65736a85-3398-4011-8d36-e9d8cfe9b907' class='xr-var-data-in' type='checkbox'><label for='data-65736a85-3398-4011-8d36-e9d8cfe9b907' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(-90.0, 90.0)</dd></dl></div><div class='xr-var-data'><pre>[1837 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sentence_type</span></div><div class='xr-var-dims'>(time1)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f2db831-cd1d-4458-95b3-7860c9ebebc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f2db831-cd1d-4458-95b3-7860c9ebebc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dbcac4d-cb5e-48cf-b09a-5673d18ea583' class='xr-var-data-in' type='checkbox'><label for='data-6dbcac4d-cb5e-48cf-b09a-5673d18ea583' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>NMEA sentence type</dd></dl></div><div class='xr-var-data'><pre>[1451 values with dtype=&lt;U3]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f49e09d-a07d-4b47-90fa-aacec38c9aac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f49e09d-a07d-4b47-90fa-aacec38c9aac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59e5ad10-04d4-447e-9d0d-33bf477a47c5' class='xr-var-data-in' type='checkbox'><label for='data-59e5ad10-04d4-447e-9d0d-33bf477a47c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the y-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>position_offset_z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-055d064a-7720-4132-a50b-c05d08280dcd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-055d064a-7720-4132-a50b-c05d08280dcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d53577c2-9bb0-4ec2-be65-0aee760d67fa' class='xr-var-data-in' type='checkbox'><label for='data-d53577c2-9bb0-4ec2-be65-0aee760d67fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance along the z-axis from the platform coordinate system origin to the latitude/longitude sensor origin</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_x</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6eee226-41d9-4ce5-8b78-b215a0f57ef0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6eee226-41d9-4ce5-8b78-b215a0f57ef0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46839d04-4943-4b9d-a20f-eafb439b43bd' class='xr-var-data-in' type='checkbox'><label for='data-46839d04-4943-4b9d-a20f-eafb439b43bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[5 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_y</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-50d3ea7d-4919-4e7b-ad72-856a22f6a063' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50d3ea7d-4919-4e7b-ad72-856a22f6a063' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41b0c96d-1af8-43fe-9fcc-a9bd7a0ae7c9' class='xr-var-data-in' type='checkbox'><label for='data-41b0c96d-1af8-43fe-9fcc-a9bd7a0ae7c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[5 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>transducer_offset_z</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7ded2a75-f8c6-4562-a363-4af59de0efe3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ded2a75-f8c6-4562-a363-4af59de0efe3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-416c1f1a-06c1-49d5-bf55-d04aa0d4f220' class='xr-var-data-in' type='checkbox'><label for='data-416c1f1a-06c1-49d5-bf55-d04aa0d4f220' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>z-axis distance from the platform coordinate system origin to the sonar transducer</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[5 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f8f94a87-af57-4e74-b49d-89637a0d3cb7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8f94a87-af57-4e74-b49d-89637a0d3cb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4b0a535-8bed-40cb-a40f-59415e054ee4' class='xr-var-data-in' type='checkbox'><label for='data-c4b0a535-8bed-40cb-a40f-59415e054ee4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance from the platform coordinate system origin to the nominal water level along the z-axis</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_offset</span></div><div class='xr-var-dims'>(time2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-89e4013f-5827-4065-9791-c513f99563b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89e4013f-5827-4065-9791-c513f99563b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25f581f3-3025-471d-be9c-7ee634747948' class='xr-var-data-in' type='checkbox'><label for='data-25f581f3-3025-471d-be9c-7ee634747948' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Platform vertical offset from nominal water level</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1837 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_level_draft_is_manual</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-64a0847d-76bb-42e5-b96d-2a7ffc0bb24f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-64a0847d-76bb-42e5-b96d-2a7ffc0bb24f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e01d206-7fd1-4bc3-96f7-4010ff7a89b4' class='xr-var-data-in' type='checkbox'><label for='data-1e01d206-7fd1-4bc3-96f7-4010ff7a89b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f61cefc0-a855-424a-b442-d525d3cf90aa' class='xr-section-summary-in' type='checkbox' checked /><label for='section-f61cefc0-a855-424a-b442-d525d3cf90aa' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>platform_name :</span></dt><dd></dd><dt><span>platform_type :</span></dt><dd></dd><dt><span>platform_code_ICES :</span></dt><dd></dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 126kB\n",
-       "Dimensions:                      (channel: 5, time1: 1451, time2: 1837, time3: 1)\n",
+       "Dimensions:                      (channel: 5, time3: 1, time2: 1837, time1: 1451)\n",
        "Coordinates:\n",
        "  * channel                      (channel) StringDType() 80B 'WBT 400140-15 E...\n",
-       "  * time1                        (time1) datetime64[ns] 12kB 2023-08-11T16:57...\n",
-       "  * time2                        (time2) datetime64[ns] 15kB 2023-08-11T16:57...\n",
        "  * time3                        (time3) datetime64[ns] 8B 2023-08-11T16:57:2...\n",
+       "  * time2                        (time2) datetime64[ns] 15kB 2023-08-11T16:57...\n",
+       "  * time1                        (time1) datetime64[ns] 12kB 2023-08-11T16:57...\n",
        "Data variables: (12/26)\n",
+       "    drop_keel_offset             float64 8B ...\n",
+       "    frequency_nominal            (channel) float64 40B ...\n",
+       "    drop_keel_offset_is_manual   int64 8B ...\n",
+       "    latitude_mru1                (time3) float64 8B ...\n",
+       "    heading                      (time2) float64 15kB ...\n",
+       "    latitude                     (time1) float64 12kB ...\n",
+       "    ...                           ...\n",
+       "    transducer_offset_x          (channel) float64 40B ...\n",
+       "    transducer_offset_y          (channel) float64 40B ...\n",
        "    transducer_offset_z          (channel) float64 40B ...\n",
-       "    MRU_offset_z                 float64 8B ...\n",
-       "    position_offset_y            float64 8B ...\n",
        "    water_level                  float64 8B ...\n",
-       "    sentence_type                (time1) <U3 17kB ...\n",
-       "    roll                         (time2) float64 15kB ...\n",
-       "    ...                           ...\n",
-       "    MRU_rotation_x               float64 8B ...\n",
-       "    position_offset_z            float64 8B ...\n",
-       "    latitude_mru1                (time3) float64 8B ...\n",
-       "    position_offset_x            float64 8B ...\n",
-       "    frequency_nominal            (channel) float64 40B ...\n",
-       "    MRU_offset_x                 float64 8B ...\n",
+       "    vertical_offset              (time2) float64 15kB ...\n",
+       "    water_level_draft_is_manual  int64 8B ...\n",
        "Attributes:\n",
        "    platform_name:       \n",
        "    platform_type:       \n",
        "    platform_code_ICES:  "
       ]
      },
-     "execution_count": 12,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8090,7 +8175,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8107,7 +8192,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 17,
    "metadata": {
     "tags": []
    },
@@ -8681,14 +8766,14 @@
        "    water_level                    float64 8B 0.0\n",
        "Attributes:\n",
        "    processing_software_name:     echopype\n",
-       "    processing_software_version:  0.11.2.dev107+g1bec67e4d\n",
-       "    processing_time:              2026-07-22T22:42:36+00:00\n",
-       "    processing_function:          calibrate.compute_Sv</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2195fc5b-7fae-4747-88db-3772db139637' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-2195fc5b-7fae-4747-88db-3772db139637' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>ping_time</span>: 213</li><li><span class='xr-has-index'>range_sample</span>: 36198</li><li><span class='xr-has-index'>filenames</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-75ecdaa3-073c-47aa-aa8e-e5f811a822a9' class='xr-section-summary-in' type='checkbox' checked /><label for='section-75ecdaa3-073c-47aa-aa8e-e5f811a822a9' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-106f4dbf-7339-489c-b84d-0009e5c83836' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-106f4dbf-7339-489c-b84d-0009e5c83836' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f0128d0-ac86-4b7b-b4e7-ca36c0ef0de8' class='xr-var-data-in' type='checkbox'><label for='data-6f0128d0-ac86-4b7b-b4e7-ca36c0ef0de8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
+       "    processing_software_version:  0.11.2.dev252+gaa99ea273.d20260806\n",
+       "    processing_time:              2026-08-06T20:25:47+00:00\n",
+       "    processing_function:          calibrate.compute_Sv</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8cf5be1f-5851-4a37-ac6e-8ef8be9df467' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-8cf5be1f-5851-4a37-ac6e-8ef8be9df467' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>channel</span>: 5</li><li><span class='xr-has-index'>ping_time</span>: 213</li><li><span class='xr-has-index'>range_sample</span>: 36198</li><li><span class='xr-has-index'>filenames</span>: 1</li></ul></div></li><li class='xr-section-item'><input id='section-ab35823f-098a-4705-9d55-5fc4176f8df2' class='xr-section-summary-in' type='checkbox' checked /><label for='section-ab35823f-098a-4705-9d55-5fc4176f8df2' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>channel</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;WBT 400140-15 ES120-7C_ES&#x27; ... ...</div><input id='attrs-a518b2bb-7bde-4d85-801e-31fd81c4c797' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a518b2bb-7bde-4d85-801e-31fd81c4c797' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae5935e9-023a-4998-b4bc-3844cf3a2222' class='xr-var-data-in' type='checkbox'><label for='data-ae5935e9-023a-4998-b4bc-3844cf3a2222' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;WBT 400140-15 ES120-7C_ES&#x27;, &#x27;WBT 400141-15 ES18_ES&#x27;,\n",
        "       &#x27;WBT 400142-15 ES70-7C_ES&#x27;, &#x27;WBT 400143-15 ES38B_ES&#x27;,\n",
-       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ping_time</span></div><div class='xr-var-dims'>(ping_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-de28325e-eff2-4ee4-9ede-1b2fd7434661' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de28325e-eff2-4ee4-9ede-1b2fd7434661' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2ea8768-545a-4c7f-a775-6ecece73fa62' class='xr-var-data-in' type='checkbox'><label for='data-c2ea8768-545a-4c7f-a775-6ecece73fa62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:30.276106000&#x27;,\n",
+       "       &#x27;WBT 400145-15 ES200-7C_ES&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ping_time</span></div><div class='xr-var-dims'>(ping_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-08-11T16:57:27.277163 ... 2...</div><input id='attrs-63007ac8-35d8-487b-bbd9-86f0647195ca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63007ac8-35d8-487b-bbd9-86f0647195ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03e1a865-14ce-4efa-8e59-8f19fa26ebb2' class='xr-var-data-in' type='checkbox'><label for='data-03e1a865-14ce-4efa-8e59-8f19fa26ebb2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-08-11T16:57:27.277163000&#x27;, &#x27;2023-08-11T16:57:30.276106000&#x27;,\n",
        "       &#x27;2023-08-11T16:57:33.288034000&#x27;, ..., &#x27;2023-08-11T17:05:25.278637000&#x27;,\n",
        "       &#x27;2023-08-11T17:05:27.281294000&#x27;, &#x27;2023-08-11T17:05:29.279934000&#x27;],\n",
-       "      shape=(213,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_sample</span></div><div class='xr-var-dims'>(range_sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 36194 36195 36196 36197</div><input id='attrs-31adeafb-cc20-4e85-8208-bce8a5e6fce3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31adeafb-cc20-4e85-8208-bce8a5e6fce3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d9df75d-be87-406f-a994-83aeb06f9432' class='xr-var-data-in' type='checkbox'><label for='data-1d9df75d-be87-406f-a994-83aeb06f9432' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Along-range sample number, base 0</dd></dl></div><div class='xr-var-data'><pre>array([    0,     1,     2, ..., 36195, 36196, 36197], shape=(36198,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>filenames</span></div><div class='xr-var-dims'>(filenames)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-5aa9d4e1-7a33-4986-a87a-a102c6517691' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5aa9d4e1-7a33-4986-a87a-a102c6517691' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe087a79-a3b9-424c-b589-db8f8237cf42' class='xr-var-data-in' type='checkbox'><label for='data-fe087a79-a3b9-424c-b589-db8f8237cf42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Index for data and metadata source filenames</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3b28ad03-0630-40bb-a357-400cb22ba19b' class='xr-section-summary-in' type='checkbox' /><label for='section-3b28ad03-0630-40bb-a357-400cb22ba19b' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(25)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Sv</span></div><div class='xr-var-dims'>(channel, ping_time, range_sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-d1feeed1-12e9-4642-a40e-a1a68374a132' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1feeed1-12e9-4642-a40e-a1a68374a132' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45699719-1d0b-40eb-bcfd-05ae77a331d5' class='xr-var-data-in' type='checkbox'><label for='data-45699719-1d0b-40eb-bcfd-05ae77a331d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Volume backscattering strength (Sv re 1 m-1)</dd><dt><span>units :</span></dt><dd>dB</dd><dt><span>waveform_mode :</span></dt><dd>CW</dd><dt><span>encode_mode :</span></dt><dd>power</dd></dl></div><div class='xr-var-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,\n",
+       "      shape=(213,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>range_sample</span></div><div class='xr-var-dims'>(range_sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 36194 36195 36196 36197</div><input id='attrs-1b5b074d-8a3d-44da-8119-c14cec79364d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b5b074d-8a3d-44da-8119-c14cec79364d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b37311f8-3dfe-4688-8bb8-012f0370088f' class='xr-var-data-in' type='checkbox'><label for='data-b37311f8-3dfe-4688-8bb8-012f0370088f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Along-range sample number, base 0</dd></dl></div><div class='xr-var-data'><pre>array([    0,     1,     2, ..., 36195, 36196, 36197], shape=(36198,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>filenames</span></div><div class='xr-var-dims'>(filenames)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-1afffbab-1a41-41c3-ae2e-a4cce73619ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1afffbab-1a41-41c3-ae2e-a4cce73619ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c382fc19-1954-4603-8ba6-a84cac6a4fd9' class='xr-var-data-in' type='checkbox'><label for='data-c382fc19-1954-4603-8ba6-a84cac6a4fd9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Index for data and metadata source filenames</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5d2b548e-b56f-44e0-b165-e72990a75253' class='xr-section-summary-in' type='checkbox' /><label for='section-5d2b548e-b56f-44e0-b165-e72990a75253' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(25)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Sv</span></div><div class='xr-var-dims'>(channel, ping_time, range_sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-47e19222-8f8a-4986-a690-b2caa686826b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47e19222-8f8a-4986-a690-b2caa686826b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01fe285f-6e6b-40c0-82a8-364ff86d1aac' class='xr-var-data-in' type='checkbox'><label for='data-01fe285f-6e6b-40c0-82a8-364ff86d1aac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Volume backscattering strength (Sv re 1 m-1)</dd><dt><span>units :</span></dt><dd>dB</dd><dt><span>waveform_mode :</span></dt><dd>CW</dd><dt><span>encode_mode :</span></dt><dd>power</dd></dl></div><div class='xr-var-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,\n",
        "                  nan,          nan],\n",
        "        [         nan,          nan,          nan, ...,          nan,\n",
        "                  nan,          nan],\n",
@@ -8728,7 +8813,7 @@
        "        [         nan,          nan,          nan, ...,          nan,\n",
        "                  nan,          nan],\n",
        "        [         nan,          nan,          nan, ...,          nan,\n",
-       "                  nan,          nan]]], shape=(5, 213, 36198))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>echo_range</span></div><div class='xr-var-dims'>(channel, ping_time, range_sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0296 0.0592 ... nan nan nan</div><input id='attrs-af418834-d504-4685-91c9-e65924427363' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af418834-d504-4685-91c9-e65924427363' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e86dc821-4a07-42b7-b62c-c58f946a8a85' class='xr-var-data-in' type='checkbox'><label for='data-e86dc821-4a07-42b7-b62c-c58f946a8a85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Range distance</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([[[0.00000000e+00, 2.95990408e-02, 5.91980816e-02, ...,\n",
+       "                  nan,          nan]]], shape=(5, 213, 36198))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>echo_range</span></div><div class='xr-var-dims'>(channel, ping_time, range_sample)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0296 0.0592 ... nan nan nan</div><input id='attrs-9e9a723b-acfc-4b8c-9c5e-e04a7a79f29b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e9a723b-acfc-4b8c-9c5e-e04a7a79f29b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3b56350-d8bd-40e9-83ae-03c9282cf88a' class='xr-var-data-in' type='checkbox'><label for='data-d3b56350-d8bd-40e9-83ae-03c9282cf88a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Range distance</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([[[0.00000000e+00, 2.95990408e-02, 5.91980816e-02, ...,\n",
        "                    nan,            nan,            nan],\n",
        "        [0.00000000e+00, 2.95990408e-02, 5.91980816e-02, ...,\n",
        "                    nan,            nan,            nan],\n",
@@ -8768,20 +8853,20 @@
        "                    nan,            nan,            nan],\n",
        "        [0.00000000e+00, 2.36792326e-02, 4.73584653e-02, ...,\n",
        "                    nan,            nan,            nan]]],\n",
-       "      shape=(5, 213, 36198))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tau_effective</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0009239 0.000397 ... 0.0009306</div><input id='attrs-037b680f-55bf-48ed-97a8-658b6338f04c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-037b680f-55bf-48ed-97a8-658b6338f04c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d965e724-084e-4273-a336-1746389fac75' class='xr-var-data-in' type='checkbox'><label for='data-d965e724-084e-4273-a336-1746389fac75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Effective pulse length</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>description :</span></dt><dd>Effective pulse length used for Sv. GPT uses transmit_duration_nominal.</dd></dl></div><div class='xr-var-data'><pre>array([0.00092386, 0.00039702, 0.00091164, 0.00065538, 0.00093058])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-088d6290-1b5e-461f-a69f-fb201ce1af89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-088d6290-1b5e-461f-a69f-fb201ce1af89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-193b4381-7cb0-4774-8840-a29a36971626' class='xr-var-data-in' type='checkbox'><label for='data-193b4381-7cb0-4774-8840-a29a36971626' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_speed</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.48e+03</div><input id='attrs-2a8f76aa-6dc3-4470-9456-bc99d34e4fa4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a8f76aa-6dc3-4470-9456-bc99d34e4fa4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-311dbe83-3cf9-4845-9cf0-066e12436215' class='xr-var-data-in' type='checkbox'><label for='data-311dbe83-3cf9-4845-9cf0-066e12436215' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1479.95204001)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_absorption</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.03281 0.002841 ... 0.0463</div><input id='attrs-901ab682-e7c0-4c1d-8d8f-77a31dc8d184' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-901ab682-e7c0-4c1d-8d8f-77a31dc8d184' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9e1e19e-28b5-4bc1-9061-fc5e9584c822' class='xr-var-data-in' type='checkbox'><label for='data-c9e1e19e-28b5-4bc1-9061-fc5e9584c822' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>array([0.03280678, 0.00284127, 0.02122259, 0.00992475, 0.0463025 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.9</div><input id='attrs-41159f82-02cd-488e-8a0a-4a3804101072' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-41159f82-02cd-488e-8a0a-4a3804101072' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c8e132f-e9b0-40e5-a26e-8f757667db91' class='xr-var-data-in' type='checkbox'><label for='data-6c8e132f-e9b0-40e5-a26e-8f757667db91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(6.9)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.7</div><input id='attrs-ba0da191-fa3b-46ef-8e5d-9494a1661de5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba0da191-fa3b-46ef-8e5d-9494a1661de5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5735ae96-796d-44a3-9f6f-b0159cf169fe' class='xr-var-data-in' type='checkbox'><label for='data-5735ae96-796d-44a3-9f6f-b0159cf169fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(33.7)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-1e89ddfa-67d0-4b5e-9e52-a60de4546b55' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e89ddfa-67d0-4b5e-9e52-a60de4546b55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b54b4468-46ab-488e-a3b4-0e47899e7b32' class='xr-var-data-in' type='checkbox'><label for='data-b54b4468-46ab-488e-a3b4-0e47899e7b32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(200.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pH</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.0</div><input id='attrs-a0989a48-9937-4888-8ed1-e651ac731357' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a0989a48-9937-4888-8ed1-e651ac731357' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3ecf4c2-9d5b-4232-a34e-3addb88e86b0' class='xr-var-data-in' type='checkbox'><label for='data-c3ecf4c2-9d5b-4232-a34e-3addb88e86b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(8.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>formula_absorption</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;FG&#x27;</div><input id='attrs-6d2c1ce3-6f1c-403d-abfc-10957b5357a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d2c1ce3-6f1c-403d-abfc-10957b5357a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4908f383-51a7-4933-b19f-3d161148ebcf' class='xr-var-data-in' type='checkbox'><label for='data-4908f383-51a7-4933-b19f-3d161148ebcf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;FG&#x27;, dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sa_correction</span></div><div class='xr-var-dims'>(ping_time, channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.12 -0.07 -0.2 ... -0.07 -0.09</div><input id='attrs-94017149-0b0f-4b14-91b9-e3431d554e92' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-94017149-0b0f-4b14-91b9-e3431d554e92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-774943a4-e10c-40f6-9c79-60895cc7e9cf' class='xr-var-data-in' type='checkbox'><label for='data-774943a4-e10c-40f6-9c79-60895cc7e9cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-0.12, -0.07, -0.2 , -0.07, -0.09],\n",
+       "      shape=(5, 213, 36198))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tau_effective</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0009239 0.000397 ... 0.0009306</div><input id='attrs-62429710-38c4-42f5-9ef9-47a595bfb04c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62429710-38c4-42f5-9ef9-47a595bfb04c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5e03f46-a42c-411c-9600-ad61d55a0505' class='xr-var-data-in' type='checkbox'><label for='data-b5e03f46-a42c-411c-9600-ad61d55a0505' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Effective pulse length</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>description :</span></dt><dd>Effective pulse length used for Sv. GPT uses transmit_duration_nominal.</dd></dl></div><div class='xr-var-data'><pre>array([0.00092386, 0.00039702, 0.00091164, 0.00065538, 0.00093058])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>frequency_nominal</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.2e+05 1.8e+04 7e+04 3.8e+04 2e+05</div><input id='attrs-e61e6064-78cd-42b9-baa8-fa53156eaf5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e61e6064-78cd-42b9-baa8-fa53156eaf5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2203c00-b390-486f-a3bb-95311df0bcfe' class='xr-var-data-in' type='checkbox'><label for='data-d2203c00-b390-486f-a3bb-95311df0bcfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>array([120000.,  18000.,  70000.,  38000., 200000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_speed</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.48e+03</div><input id='attrs-e5e671e3-6a62-40a4-99ff-eb11bd6e99ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e5e671e3-6a62-40a4-99ff-eb11bd6e99ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-489f06d8-4968-46d9-84e2-6c7f23eec526' class='xr-var-data-in' type='checkbox'><label for='data-489f06d8-4968-46d9-84e2-6c7f23eec526' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1479.95204001)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_absorption</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.03281 0.002841 ... 0.0463</div><input id='attrs-7ba00aa9-5bc5-42c9-912b-366400d4044a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ba00aa9-5bc5-42c9-912b-366400d4044a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a902b12e-ab70-4b0a-9dff-0f759913c7fe' class='xr-var-data-in' type='checkbox'><label for='data-a902b12e-ab70-4b0a-9dff-0f759913c7fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Transducer frequency</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>standard_name :</span></dt><dd>sound_frequency</dd></dl></div><div class='xr-var-data'><pre>array([0.03280678, 0.00284127, 0.02122259, 0.00992475, 0.0463025 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.9</div><input id='attrs-987ba136-f77a-4edc-b283-f460e4597b63' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-987ba136-f77a-4edc-b283-f460e4597b63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-313e0fb1-2627-47b6-8b46-1025af40c8b3' class='xr-var-data-in' type='checkbox'><label for='data-313e0fb1-2627-47b6-8b46-1025af40c8b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(6.9)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.7</div><input id='attrs-4248d1f9-dcfe-4693-bb2e-ad7cc66a2d1a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4248d1f9-dcfe-4693-bb2e-ad7cc66a2d1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfba36f1-0501-4c05-8af5-1692de578367' class='xr-var-data-in' type='checkbox'><label for='data-bfba36f1-0501-4c05-8af5-1692de578367' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(33.7)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-679d457d-fafb-4725-a341-287aead1f4f2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-679d457d-fafb-4725-a341-287aead1f4f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-423cead7-f366-477d-8d58-cd0bdb505c1e' class='xr-var-data-in' type='checkbox'><label for='data-423cead7-f366-477d-8d58-cd0bdb505c1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(200.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pH</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.0</div><input id='attrs-b99727d8-7901-4a99-bd98-d1881aeb919c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b99727d8-7901-4a99-bd98-d1881aeb919c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29b79273-0574-42e8-9baf-89e5045a949e' class='xr-var-data-in' type='checkbox'><label for='data-29b79273-0574-42e8-9baf-89e5045a949e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(8.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>formula_absorption</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U2</div><div class='xr-var-preview xr-preview'>&#x27;FG&#x27;</div><input id='attrs-66d316bb-c629-4862-8556-28bd76bb63ff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-66d316bb-c629-4862-8556-28bd76bb63ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64a35ef8-dfd8-4c9a-b344-70149d50f55d' class='xr-var-data-in' type='checkbox'><label for='data-64a35ef8-dfd8-4c9a-b344-70149d50f55d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;FG&#x27;, dtype=&#x27;&lt;U2&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sa_correction</span></div><div class='xr-var-dims'>(ping_time, channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.12 -0.07 -0.2 ... -0.07 -0.09</div><input id='attrs-2622c4de-5dc6-40c6-9928-32a78140f2b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2622c4de-5dc6-40c6-9928-32a78140f2b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35b9ba0d-036d-4cc9-b46e-c4f50ab312fd' class='xr-var-data-in' type='checkbox'><label for='data-35b9ba0d-036d-4cc9-b46e-c4f50ab312fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-0.12, -0.07, -0.2 , -0.07, -0.09],\n",
        "       [-0.12, -0.07, -0.2 , -0.07, -0.09],\n",
        "       [-0.12, -0.07, -0.2 , -0.07, -0.09],\n",
        "       ...,\n",
        "       [-0.12, -0.07, -0.2 , -0.07, -0.09],\n",
        "       [-0.12, -0.07, -0.2 , -0.07, -0.09],\n",
-       "       [-0.12, -0.07, -0.2 , -0.07, -0.09]], shape=(213, 5))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gain_correction</span></div><div class='xr-var-dims'>(ping_time, channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>26.76 23.08 28.1 ... 26.46 27.55</div><input id='attrs-25ce7235-2f43-4350-a7fd-7cbe2b154af0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-25ce7235-2f43-4350-a7fd-7cbe2b154af0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07b86636-db24-40cc-a4d1-e9a14510e99e' class='xr-var-data-in' type='checkbox'><label for='data-07b86636-db24-40cc-a4d1-e9a14510e99e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[26.76, 23.08, 28.1 , 26.46, 27.55],\n",
+       "       [-0.12, -0.07, -0.2 , -0.07, -0.09]], shape=(213, 5))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gain_correction</span></div><div class='xr-var-dims'>(ping_time, channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>26.76 23.08 28.1 ... 26.46 27.55</div><input id='attrs-21a4b6fe-d6f3-4ada-a09d-dc19b60e4480' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21a4b6fe-d6f3-4ada-a09d-dc19b60e4480' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f18144af-10cb-4e38-996c-62cd74e48b3a' class='xr-var-data-in' type='checkbox'><label for='data-f18144af-10cb-4e38-996c-62cd74e48b3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[26.76, 23.08, 28.1 , 26.46, 27.55],\n",
        "       [26.76, 23.08, 28.1 , 26.46, 27.55],\n",
        "       [26.76, 23.08, 28.1 , 26.46, 27.55],\n",
        "       ...,\n",
        "       [26.76, 23.08, 28.1 , 26.46, 27.55],\n",
        "       [26.76, 23.08, 28.1 , 26.46, 27.55],\n",
-       "       [26.76, 23.08, 28.1 , 26.46, 27.55]], shape=(213, 5))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>equivalent_beam_angle</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-20.7 -17.0 -20.7 -20.7 -20.7</div><input id='attrs-aefa838f-ae22-48f9-b7b0-99bd7f032b31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aefa838f-ae22-48f9-b7b0-99bd7f032b31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a7110b5-22a9-4511-8d2a-eb1a0679b609' class='xr-var-data-in' type='checkbox'><label for='data-7a7110b5-22a9-4511-8d2a-eb1a0679b609' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Equivalent beam angle</dd><dt><span>units :</span></dt><dd>sr</dd><dt><span>valid_range :</span></dt><dd>(0.0, 12.566370614359172)</dd></dl></div><div class='xr-var-data'><pre>array([-20.7, -17. , -20.7, -20.7, -20.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_alongship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.04 -0.11 -0.02 -0.2 -0.07</div><input id='attrs-2a8c3f6d-4ef1-42ff-bc40-7760d2f01799' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a8c3f6d-4ef1-42ff-bc40-7760d2f01799' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cc223c8-02fe-4074-8e5f-22f34d052dd8' class='xr-var-data-in' type='checkbox'><label for='data-5cc223c8-02fe-4074-8e5f-22f34d052dd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>electrical alongship angle offset of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([-0.04, -0.11, -0.02, -0.2 , -0.07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_athwartship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.17 -0.05 0.0 -0.17 0.25</div><input id='attrs-0017d048-d9e3-4011-8c8d-2a533ef7b623' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0017d048-d9e3-4011-8c8d-2a533ef7b623' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bca3950b-f3f4-471c-a218-d4bfeef60b4c' class='xr-var-data-in' type='checkbox'><label for='data-bca3950b-f3f4-471c-a218-d4bfeef60b4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>electrical athwartship angle offset of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([ 0.17, -0.05,  0.  , -0.17,  0.25])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_sensitivity_alongship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.0 15.5 23.0 23.0 23.0</div><input id='attrs-cdc3d423-cd0d-4589-b35a-97485769cf8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdc3d423-cd0d-4589-b35a-97485769cf8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38605caa-8d84-4d6c-86d7-fa8361404229' class='xr-var-data-in' type='checkbox'><label for='data-38605caa-8d84-4d6c-86d7-fa8361404229' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>alongship angle sensitivity of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([23. , 15.5, 23. , 23. , 23. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_sensitivity_athwartship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.0 15.5 23.0 23.0 23.0</div><input id='attrs-2b1d16ff-28eb-4d6c-b9bc-ddf255e995ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b1d16ff-28eb-4d6c-b9bc-ddf255e995ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fc36142-314e-46fb-8baf-c0ba0307b43a' class='xr-var-data-in' type='checkbox'><label for='data-7fc36142-314e-46fb-8baf-c0ba0307b43a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>athwartship angle sensitivity of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([23. , 15.5, 23. , 23. , 23. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_alongship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.63 10.92 6.55 6.71 6.79</div><input id='attrs-9c96d26b-9f78-4764-a026-f85cedb6a3f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c96d26b-9f78-4764-a026-f85cedb6a3f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-294a23d0-bf2d-400b-ab0e-e5e809fbe3cf' class='xr-var-data-in' type='checkbox'><label for='data-294a23d0-bf2d-400b-ab0e-e5e809fbe3cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Half power two-way beam width along alongship axis of beam</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(0.0, 360.0)</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders to avoid potential confusion with convention definitions. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. The convention defines one-way transmit or receive beamwidth (beamwidth_receive_minor and beamwidth_transmit_minor), but Simrad echosounders record two-way beamwidth in the data.</dd></dl></div><div class='xr-var-data'><pre>array([ 6.63, 10.92,  6.55,  6.71,  6.79])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_athwartship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.74 10.6 6.61 6.81 6.07</div><input id='attrs-edcd1707-7b48-4e8e-9a8a-af9f4eaef6e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-edcd1707-7b48-4e8e-9a8a-af9f4eaef6e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3aee4756-5042-417b-a59c-dcef26604743' class='xr-var-data-in' type='checkbox'><label for='data-3aee4756-5042-417b-a59c-dcef26604743' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Half power two-way beam width along athwartship axis of beam</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(0.0, 360.0)</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders to avoid potential confusion with convention definitions. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. The convention defines one-way transmit or receive beamwidth (beamwidth_receive_major and beamwidth_transmit_major), but Simrad echosounders record two-way beamwidth in the data.</dd></dl></div><div class='xr-var-data'><pre>array([ 6.74, 10.6 ,  6.61,  6.81,  6.07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>impedance_transducer</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 75.0 75.0 75.0 75.0</div><input id='attrs-99518ce4-2cff-435d-b4e8-8b6177c9fc41' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99518ce4-2cff-435d-b4e8-8b6177c9fc41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-489d2203-a17c-4198-8ab2-a41430060b87' class='xr-var-data-in' type='checkbox'><label for='data-489d2203-a17c-4198-8ab2-a41430060b87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75., 75., 75., 75., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>impedance_transceiver</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5400 5400 5400 5400 5400</div><input id='attrs-befe8b12-f931-4d1f-9bdd-6f051096645a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-befe8b12-f931-4d1f-9bdd-6f051096645a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1af8e5d4-a8f7-43f5-9aa3-c54ea5e30031' class='xr-var-data-in' type='checkbox'><label for='data-1af8e5d4-a8f7-43f5-9aa3-c54ea5e30031' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ohm</dd><dt><span>long_name :</span></dt><dd>Transceiver impedance</dd></dl></div><div class='xr-var-data'><pre>array([5400, 5400, 5400, 5400, 5400])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>receiver_sampling_frequency</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.5e+06 1.5e+06 ... 1.5e+06 1.5e+06</div><input id='attrs-a81eb009-8a40-40c5-84f2-1f4d908e1e70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a81eb009-8a40-40c5-84f2-1f4d908e1e70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed411a43-8a65-4730-a6d8-51482829837a' class='xr-var-data-in' type='checkbox'><label for='data-ed411a43-8a65-4730-a6d8-51482829837a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Receiver sampling frequency</dd></dl></div><div class='xr-var-data'><pre>array([1500000., 1500000., 1500000., 1500000., 1500000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source_filenames</span></div><div class='xr-var-dims'>(filenames)</div><div class='xr-var-dtype'>&lt;U82</div><div class='xr-var-preview xr-preview'>&#x27;s3://noaa-wcsd-pds/data/raw/Bel...</div><input id='attrs-4019baee-21d1-45dd-bb6d-5d4eef891d4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4019baee-21d1-45dd-bb6d-5d4eef891d4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16750820-9513-4c93-904b-e3292898e1e5' class='xr-var-data-in' type='checkbox'><label for='data-16750820-9513-4c93-904b-e3292898e1e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Source filenames</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;s3://noaa-wcsd-pds/data/raw/Bell_M._Shimada/SH2306/EK80/Hake-D20230811-T165727.raw&#x27;],\n",
-       "      dtype=&#x27;&lt;U82&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-fc822fce-e8c6-4398-b4e9-f379d8e741e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc822fce-e8c6-4398-b4e9-f379d8e741e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f95cb008-52c8-442f-96a4-882a3c4ea926' class='xr-var-data-in' type='checkbox'><label for='data-f95cb008-52c8-442f-96a4-882a3c4ea926' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance from the platform coordinate system origin to the nominal water level along the z-axis</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e7ad0b18-2a04-4861-b0a0-95f88be4561c' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e7ad0b18-2a04-4861-b0a0-95f88be4561c' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>processing_software_name :</span></dt><dd>echopype</dd><dt><span>processing_software_version :</span></dt><dd>0.11.2.dev107+g1bec67e4d</dd><dt><span>processing_time :</span></dt><dd>2026-07-22T22:42:36+00:00</dd><dt><span>processing_function :</span></dt><dd>calibrate.compute_Sv</dd></dl></div></li></ul></div></div>"
+       "       [26.76, 23.08, 28.1 , 26.46, 27.55]], shape=(213, 5))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>equivalent_beam_angle</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-20.7 -17.0 -20.7 -20.7 -20.7</div><input id='attrs-fad20c17-af26-4d09-b00f-6d3980a1e5c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fad20c17-af26-4d09-b00f-6d3980a1e5c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05677f86-c12e-426c-bccc-02ba5cfabb04' class='xr-var-data-in' type='checkbox'><label for='data-05677f86-c12e-426c-bccc-02ba5cfabb04' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Equivalent beam angle</dd><dt><span>units :</span></dt><dd>sr</dd><dt><span>valid_range :</span></dt><dd>(0.0, 12.566370614359172)</dd></dl></div><div class='xr-var-data'><pre>array([-20.7, -17. , -20.7, -20.7, -20.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_alongship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.04 -0.11 -0.02 -0.2 -0.07</div><input id='attrs-6fc51afd-823e-4fa0-abe1-1c8ece8188da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fc51afd-823e-4fa0-abe1-1c8ece8188da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e43b007-d41e-441a-97d1-28e72051bd72' class='xr-var-data-in' type='checkbox'><label for='data-7e43b007-d41e-441a-97d1-28e72051bd72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>electrical alongship angle offset of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([-0.04, -0.11, -0.02, -0.2 , -0.07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_offset_athwartship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.17 -0.05 0.0 -0.17 0.25</div><input id='attrs-f4d858e5-306f-42f6-9e43-ce7a41f263e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4d858e5-306f-42f6-9e43-ce7a41f263e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2df98ce5-dc0e-4b10-9dd1-aab06b18520e' class='xr-var-data-in' type='checkbox'><label for='data-2df98ce5-dc0e-4b10-9dd1-aab06b18520e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>electrical athwartship angle offset of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([ 0.17, -0.05,  0.  , -0.17,  0.25])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_sensitivity_alongship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.0 15.5 23.0 23.0 23.0</div><input id='attrs-d9264ec7-035f-41d2-9cce-824a0ce59467' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9264ec7-035f-41d2-9cce-824a0ce59467' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bdcd315-56d2-4a0f-ab84-94a6f117d899' class='xr-var-data-in' type='checkbox'><label for='data-3bdcd315-56d2-4a0f-ab84-94a6f117d899' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>alongship angle sensitivity of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([23. , 15.5, 23. , 23. , 23. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_sensitivity_athwartship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>23.0 15.5 23.0 23.0 23.0</div><input id='attrs-b9d25233-b4ff-4dca-bbf9-f1a709069551' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9d25233-b4ff-4dca-bbf9-f1a709069551' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89a3635e-f940-4cf1-a6e2-9bd0a2381a38' class='xr-var-data-in' type='checkbox'><label for='data-89a3635e-f940-4cf1-a6e2-9bd0a2381a38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>athwartship angle sensitivity of the transducer</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. </dd></dl></div><div class='xr-var-data'><pre>array([23. , 15.5, 23. , 23. , 23. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_alongship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.63 10.92 6.55 6.71 6.79</div><input id='attrs-19520de6-fc99-45b7-a83a-7d83c9aff2dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19520de6-fc99-45b7-a83a-7d83c9aff2dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-329e191d-5b18-469f-bbce-f033cd7b0528' class='xr-var-data-in' type='checkbox'><label for='data-329e191d-5b18-469f-bbce-f033cd7b0528' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Half power two-way beam width along alongship axis of beam</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(0.0, 360.0)</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders to avoid potential confusion with convention definitions. The alongship angle corresponds to the minor angle in SONAR-netCDF4 vers 2. The convention defines one-way transmit or receive beamwidth (beamwidth_receive_minor and beamwidth_transmit_minor), but Simrad echosounders record two-way beamwidth in the data.</dd></dl></div><div class='xr-var-data'><pre>array([ 6.63, 10.92,  6.55,  6.71,  6.79])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beamwidth_athwartship</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.74 10.6 6.61 6.81 6.07</div><input id='attrs-185f8f7c-d8c2-4faf-bab3-4af321a2ba4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-185f8f7c-d8c2-4faf-bab3-4af321a2ba4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2c0f78b-a89a-4116-8ee4-1c1dba1f63f0' class='xr-var-data-in' type='checkbox'><label for='data-f2c0f78b-a89a-4116-8ee4-1c1dba1f63f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Half power two-way beam width along athwartship axis of beam</dd><dt><span>units :</span></dt><dd>arc_degree</dd><dt><span>valid_range :</span></dt><dd>(0.0, 360.0)</dd><dt><span>comment :</span></dt><dd>Introduced in echopype for Simrad echosounders to avoid potential confusion with convention definitions. The athwartship angle corresponds to the major angle in SONAR-netCDF4 vers 2. The convention defines one-way transmit or receive beamwidth (beamwidth_receive_major and beamwidth_transmit_major), but Simrad echosounders record two-way beamwidth in the data.</dd></dl></div><div class='xr-var-data'><pre>array([ 6.74, 10.6 ,  6.61,  6.81,  6.07])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>impedance_transducer</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 75.0 75.0 75.0 75.0</div><input id='attrs-6cee6779-3bdb-4011-b2b4-8dea8a641243' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6cee6779-3bdb-4011-b2b4-8dea8a641243' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-257ec280-39e5-49dc-bab5-65ebc3893425' class='xr-var-data-in' type='checkbox'><label for='data-257ec280-39e5-49dc-bab5-65ebc3893425' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75., 75., 75., 75., 75.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>impedance_transceiver</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>5400 5400 5400 5400 5400</div><input id='attrs-47ca6bdb-c314-4c39-86ed-ef7ef179c557' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47ca6bdb-c314-4c39-86ed-ef7ef179c557' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a826806-38da-4e3a-afc1-ecef79f8d7d3' class='xr-var-data-in' type='checkbox'><label for='data-0a826806-38da-4e3a-afc1-ecef79f8d7d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ohm</dd><dt><span>long_name :</span></dt><dd>Transceiver impedance</dd></dl></div><div class='xr-var-data'><pre>array([5400, 5400, 5400, 5400, 5400])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>receiver_sampling_frequency</span></div><div class='xr-var-dims'>(channel)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.5e+06 1.5e+06 ... 1.5e+06 1.5e+06</div><input id='attrs-a1cd2479-a51a-49dc-b5e6-cf37b6e80ed2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1cd2479-a51a-49dc-b5e6-cf37b6e80ed2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-808aca6c-a9d1-4202-864c-a0b0d33ae7d6' class='xr-var-data-in' type='checkbox'><label for='data-808aca6c-a9d1-4202-864c-a0b0d33ae7d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>long_name :</span></dt><dd>Receiver sampling frequency</dd></dl></div><div class='xr-var-data'><pre>array([1500000., 1500000., 1500000., 1500000., 1500000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>source_filenames</span></div><div class='xr-var-dims'>(filenames)</div><div class='xr-var-dtype'>&lt;U82</div><div class='xr-var-preview xr-preview'>&#x27;s3://noaa-wcsd-pds/data/raw/Bel...</div><input id='attrs-1ea81d6e-95f2-496f-a5ea-6e226db4bea8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ea81d6e-95f2-496f-a5ea-6e226db4bea8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a77a228-ad60-41c6-a4f0-1453dae45391' class='xr-var-data-in' type='checkbox'><label for='data-7a77a228-ad60-41c6-a4f0-1453dae45391' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Source filenames</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;s3://noaa-wcsd-pds/data/raw/Bell_M._Shimada/SH2306/EK80/Hake-D20230811-T165727.raw&#x27;],\n",
+       "      dtype=&#x27;&lt;U82&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-e6235bd6-e08f-4a18-b2bd-50108d5605e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6235bd6-e08f-4a18-b2bd-50108d5605e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6978b7fe-7faf-4e9b-b7b7-a38b48e5b225' class='xr-var-data-in' type='checkbox'><label for='data-6978b7fe-7faf-4e9b-b7b7-a38b48e5b225' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Distance from the platform coordinate system origin to the nominal water level along the z-axis</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-139b01c4-a27a-4f09-8a2f-1bee5e41abb1' class='xr-section-summary-in' type='checkbox' checked /><label for='section-139b01c4-a27a-4f09-8a2f-1bee5e41abb1' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>processing_software_name :</span></dt><dd>echopype</dd><dt><span>processing_software_version :</span></dt><dd>0.11.2.dev252+gaa99ea273.d20260806</dd><dt><span>processing_time :</span></dt><dd>2026-08-06T20:25:47+00:00</dd><dt><span>processing_function :</span></dt><dd>calibrate.compute_Sv</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 617MB\n",
@@ -8808,12 +8893,12 @@
        "    water_level                    float64 8B 0.0\n",
        "Attributes:\n",
        "    processing_software_name:     echopype\n",
-       "    processing_software_version:  0.11.2.dev107+g1bec67e4d\n",
-       "    processing_time:              2026-07-22T22:42:36+00:00\n",
+       "    processing_software_version:  0.11.2.dev252+gaa99ea273.d20260806\n",
+       "    processing_time:              2026-08-06T20:25:47+00:00\n",
        "    processing_function:          calibrate.compute_Sv"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8851,22 +8936,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7d1a0d42aea0>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x2358001e8a0>"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x600 with 7 Axes>"
       ]
@@ -8915,7 +9000,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8956,7 +9041,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8967,7 +9052,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -8985,7 +9070,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -9030,7 +9115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -9046,7 +9131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -9063,22 +9148,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<xarray.plot.facetgrid.FacetGrid at 0x7d1a0c186cf0>"
+       "<xarray.plot.facetgrid.FacetGrid at 0x235fdf721e0>"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x600 with 7 Axes>"
       ]
@@ -9105,21 +9190,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2cc024eabbba4084a0726ab76b59d48a",
+       "model_id": "3c207a1edeec4b68bef1ee115f1ef34e",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "BokehModel(combine_events=True, render_bundle={'docs_json': {'d9509e87-393b-4b80-9bfb-ff3d0f01427b': {'version…"
+       "BokehModel(combine_events=True, render_bundle={'docs_json': {'b47e09ee-ab52-40db-9982-45ba6461340c': {'version…"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }