03_advanced_glider_analysis.ipynb

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   "source": [
    "# Advanced glider analysis\n",
    "\n",
    "Some gliders have specialist sensors that are not easily integrated into the main datasets. One of these is the Nortek 1MHz ADCP. This notebook shows how to download ADCP data and integrate it with the main dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dcaee511-bf67-47de-b102-90617128b389",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import datetime\n",
    "from matplotlib import style\n",
    "style.use('presentation.mplstyle')\n",
    "import utils\n",
    "from erddapy import ERDDAP\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b65d32a-4750-415a-9ccd-4af34b74b66d",
   "metadata": {},
   "source": [
    "### 1. Find a dataset with ADCP data\n",
    "\n",
    "We fetch the table of all datasets and keep only those that whose ID starts with \"adcp\"\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "081e3148-cbb1-4c03-be92-5b0bde0d2b65",
   "metadata": {},
   "outputs": [],
   "source": [
    "e = ERDDAP(\n",
    "    server=\"https://erddap.observations.voiceoftheocean.org/erddap\",\n",
    "    protocol=\"tabledap\",\n",
    ")\n",
    "\n",
    "# Fetch dataset list\n",
    "e.response = \"csv\"\n",
    "e.dataset_id = \"allDatasets\"\n",
    "df_datasets = e.to_pandas(parse_dates=['minTime (UTC)', 'maxTime (UTC)'])\n",
    "\n",
    "# drop the allDatasets row and make the datasetID the index for easier reading\n",
    "df_datasets.set_index(\"datasetID\", inplace=True)\n",
    "df_datasets.drop(\"allDatasets\", inplace=True)"
   ]
  },
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   "execution_count": 3,
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>accessible</th>\n",
       "      <th>institution</th>\n",
       "      <th>dataStructure</th>\n",
       "      <th>cdm_data_type</th>\n",
       "      <th>class</th>\n",
       "      <th>title</th>\n",
       "      <th>minLongitude (degrees_east)</th>\n",
       "      <th>maxLongitude (degrees_east)</th>\n",
       "      <th>longitudeSpacing (degrees_east)</th>\n",
       "      <th>minLatitude (degrees_north)</th>\n",
       "      <th>...</th>\n",
       "      <th>fgdc</th>\n",
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       "      <th>infoUrl</th>\n",
       "      <th>rss</th>\n",
       "      <th>email</th>\n",
       "      <th>testOutOfDate</th>\n",
       "      <th>outOfDate</th>\n",
       "      <th>summary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datasetID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>adcp_SEA045_M33</th>\n",
       "      <td>public</td>\n",
       "      <td>Voice of the Ocean Foundation</td>\n",
       "      <td>grid</td>\n",
       "      <td>Grid</td>\n",
       "      <td>EDDGridFromNcFiles</td>\n",
       "      <td>Kvanne45-20200820T0747_adcp</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>(local files)</td>\n",
       "      <td>https://observations.voiceoftheocean.org</td>\n",
       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Part of SAMBA continuous monitoring</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>adcp_SEA045_M37</th>\n",
       "      <td>public</td>\n",
       "      <td>Voice of the Ocean Foundation</td>\n",
       "      <td>grid</td>\n",
       "      <td>Grid</td>\n",
       "      <td>EDDGridFromNcFiles</td>\n",
       "      <td>Kvanne45-20210319T1415_adcp</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>(local files)</td>\n",
       "      <td>https://observations.voiceoftheocean.org</td>\n",
       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Part of SAMBA continuous monitoring</td>\n",
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       "    <tr>\n",
       "      <th>adcp_SEA045_M41</th>\n",
       "      <td>public</td>\n",
       "      <td>Voice of the Ocean Foundation</td>\n",
       "      <td>grid</td>\n",
       "      <td>Grid</td>\n",
       "      <td>EDDGridFromNcFiles</td>\n",
       "      <td>Kvanne45-20210413T1204_adcp</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>(local files)</td>\n",
       "      <td>https://observations.voiceoftheocean.org</td>\n",
       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Part of SAMBA continuous monitoring</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>adcp_SEA045_M42</th>\n",
       "      <td>public</td>\n",
       "      <td>Voice of the Ocean Foundation</td>\n",
       "      <td>grid</td>\n",
       "      <td>Grid</td>\n",
       "      <td>EDDGridFromNcFiles</td>\n",
       "      <td>Kvanne45-20210518T0809_adcp</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>(local files)</td>\n",
       "      <td>https://observations.voiceoftheocean.org</td>\n",
       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>adcp_SEA045_M48</th>\n",
       "      <td>public</td>\n",
       "      <td>Voice of the Ocean Foundation</td>\n",
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       "      <td>Grid</td>\n",
       "      <td>EDDGridFromNcFiles</td>\n",
       "      <td>Kvanne45-20211004T1941_adcp</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>https://erddap.observations.voiceoftheocean.or...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Part of SAMBA continuous monitoring</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "                accessible                    institution dataStructure  \\\n",
       "datasetID                                                                 \n",
       "adcp_SEA045_M33     public  Voice of the Ocean Foundation          grid   \n",
       "adcp_SEA045_M37     public  Voice of the Ocean Foundation          grid   \n",
       "adcp_SEA045_M41     public  Voice of the Ocean Foundation          grid   \n",
       "adcp_SEA045_M42     public  Voice of the Ocean Foundation          grid   \n",
       "adcp_SEA045_M48     public  Voice of the Ocean Foundation          grid   \n",
       "\n",
       "                cdm_data_type               class  \\\n",
       "datasetID                                           \n",
       "adcp_SEA045_M33          Grid  EDDGridFromNcFiles   \n",
       "adcp_SEA045_M37          Grid  EDDGridFromNcFiles   \n",
       "adcp_SEA045_M41          Grid  EDDGridFromNcFiles   \n",
       "adcp_SEA045_M42          Grid  EDDGridFromNcFiles   \n",
       "adcp_SEA045_M48          Grid  EDDGridFromNcFiles   \n",
       "\n",
       "                                       title  minLongitude (degrees_east)  \\\n",
       "datasetID                                                                   \n",
       "adcp_SEA045_M33  Kvanne45-20200820T0747_adcp                          NaN   \n",
       "adcp_SEA045_M37  Kvanne45-20210319T1415_adcp                          NaN   \n",
       "adcp_SEA045_M41  Kvanne45-20210413T1204_adcp                          NaN   \n",
       "adcp_SEA045_M42  Kvanne45-20210518T0809_adcp                          NaN   \n",
       "adcp_SEA045_M48  Kvanne45-20211004T1941_adcp                          NaN   \n",
       "\n",
       "                 maxLongitude (degrees_east)  longitudeSpacing (degrees_east)  \\\n",
       "datasetID                                                                       \n",
       "adcp_SEA045_M33                          NaN                              NaN   \n",
       "adcp_SEA045_M37                          NaN                              NaN   \n",
       "adcp_SEA045_M41                          NaN                              NaN   \n",
       "adcp_SEA045_M42                          NaN                              NaN   \n",
       "adcp_SEA045_M48                          NaN                              NaN   \n",
       "\n",
       "                 minLatitude (degrees_north)  ...  fgdc  iso19115  \\\n",
       "datasetID                                     ...                   \n",
       "adcp_SEA045_M33                          NaN  ...   NaN       NaN   \n",
       "adcp_SEA045_M37                          NaN  ...   NaN       NaN   \n",
       "adcp_SEA045_M41                          NaN  ...   NaN       NaN   \n",
       "adcp_SEA045_M42                          NaN  ...   NaN       NaN   \n",
       "adcp_SEA045_M48                          NaN  ...   NaN       NaN   \n",
       "\n",
       "                                                          metadata  \\\n",
       "datasetID                                                            \n",
       "adcp_SEA045_M33  https://erddap.observations.voiceoftheocean.or...   \n",
       "adcp_SEA045_M37  https://erddap.observations.voiceoftheocean.or...   \n",
       "adcp_SEA045_M41  https://erddap.observations.voiceoftheocean.or...   \n",
       "adcp_SEA045_M42  https://erddap.observations.voiceoftheocean.or...   \n",
       "adcp_SEA045_M48  https://erddap.observations.voiceoftheocean.or...   \n",
       "\n",
       "                     sourceUrl                                   infoUrl  \\\n",
       "datasetID                                                                  \n",
       "adcp_SEA045_M33  (local files)  https://observations.voiceoftheocean.org   \n",
       "adcp_SEA045_M37  (local files)  https://observations.voiceoftheocean.org   \n",
       "adcp_SEA045_M41  (local files)  https://observations.voiceoftheocean.org   \n",
       "adcp_SEA045_M42  (local files)  https://observations.voiceoftheocean.org   \n",
       "adcp_SEA045_M48  (local files)  https://observations.voiceoftheocean.org   \n",
       "\n",
       "                                                               rss  \\\n",
       "datasetID                                                            \n",
       "adcp_SEA045_M33  https://erddap.observations.voiceoftheocean.or...   \n",
       "adcp_SEA045_M37  https://erddap.observations.voiceoftheocean.or...   \n",
       "adcp_SEA045_M41  https://erddap.observations.voiceoftheocean.or...   \n",
       "adcp_SEA045_M42  https://erddap.observations.voiceoftheocean.or...   \n",
       "adcp_SEA045_M48  https://erddap.observations.voiceoftheocean.or...   \n",
       "\n",
       "                                                             email  \\\n",
       "datasetID                                                            \n",
       "adcp_SEA045_M33  https://erddap.observations.voiceoftheocean.or...   \n",
       "adcp_SEA045_M37  https://erddap.observations.voiceoftheocean.or...   \n",
       "adcp_SEA045_M41  https://erddap.observations.voiceoftheocean.or...   \n",
       "adcp_SEA045_M42  https://erddap.observations.voiceoftheocean.or...   \n",
       "adcp_SEA045_M48  https://erddap.observations.voiceoftheocean.or...   \n",
       "\n",
       "                testOutOfDate outOfDate                              summary  \n",
       "datasetID                                                                     \n",
       "adcp_SEA045_M33           NaN       NaN  Part of SAMBA continuous monitoring  \n",
       "adcp_SEA045_M37           NaN       NaN  Part of SAMBA continuous monitoring  \n",
       "adcp_SEA045_M41           NaN       NaN  Part of SAMBA continuous monitoring  \n",
       "adcp_SEA045_M42           NaN       NaN  Part of SAMBA continuous monitoring  \n",
       "adcp_SEA045_M48           NaN       NaN  Part of SAMBA continuous monitoring  \n",
       "\n",
       "[5 rows x 35 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
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    }
   ],
   "source": [
    "df_datasets = df_datasets[df_datasets.index.str[:4] == \"adcp\"]\n",
    "df_datasets.head()"
   ]
  },
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   "source": [
    "### 2. Download ADCP data and combine it with glider data\n",
    "\n",
    "Here we use a time constraint to download only the most recent few days to check the quality of the ADCP data without downloading the entire dataset"
   ]
  },
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       "  0%|          | 0/2 [00:00<?, ?it/s]"
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     "text": [
      "Found delayed_SEA063_M33 in voto_erddap_data_cache. Loading from disk\n",
      "Found voto_erddap_data_cache/adcp_SEA063_M33.nc. Loading from disk\n",
      "Downloading nrt_SEA063_M33\n",
      "Found voto_erddap_data_cache/adcp_SEA063_M33.nc. Loading from disk\n",
      "WARNING: matching adcp data to nearest nrt timestamp. Potential missmatch of ~ 15 seconds. Use delayed mode data for closer timestamp match\n"
     ]
    }
   ],
   "source": [
    "datasets_to_download = ['delayed_SEA063_M33', \"nrt_SEA063_M33\"]\n",
    "ds_dict = utils.download_glider_dataset(datasets_to_download, nrt_only=False, adcp=True,\n",
    "                                        constraints={\"time>=\": datetime.datetime(2022,1,20)})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9eea99bd-5508-419c-be1b-8b7f58acb279",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = ds_dict['delayed_SEA063_M33']\n",
    "nrt = ds_dict['nrt_SEA063_M33']"
   ]
  },
  {
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   "id": "a20d309e-c256-400f-b76c-a970d02256e2",
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   "source": [
    "### 3. Examine the datasets\n",
    "\n",
    "We see that adding ADCP with the kwarg `adcp=True` has added two additional dimenstions to our dataset: cell and beam. These are from the 4 beams and 30 sampling cells of the ADCP"
   ]
  },
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                        (time: 1410, cell: 30, beam: 4)\n",
       "Coordinates:\n",
       "    latitude                       (time) float64 ...\n",
       "    longitude                      (time) float64 ...\n",
       "  * time                           (time) datetime64[ns] 2022-01-20T00:54:39....\n",
       "    depth                          (time) float64 ...\n",
       "  * cell                           (cell) int16 0 1 2 3 4 5 ... 25 26 27 28 29\n",
       "  * beam                           (beam) int16 0 1 2 3\n",
       "Data variables: (12/55)\n",
       "    ad2cp_beam1_cell_number1       (time) float32 ...\n",
       "    ad2cp_beam2_cell_number1       (time) float32 ...\n",
       "    ad2cp_beam3_cell_number1       (time) float32 ...\n",
       "    ad2cp_beam4_cell_number1       (time) float32 ...\n",
       "    ad2cp_heading                  (time) float32 ...\n",
       "    ad2cp_pitch                    (time) float32 ...\n",
       "    ...                             ...\n",
       "    turbidity_raw                  (time) float32 ...\n",
       "    vertical_distance_to_seafloor  (time) float32 ...\n",
       "    voltage                        (time) float32 ...\n",
       "    adcp_correlation               (time, cell, beam) float32 ...\n",
       "    adcp_amplitude                 (time, cell, beam) float32 ...\n",
       "    adcp_velocity                  (time, cell, beam) float32 ...\n",
       "Attributes: (12/78)\n",
       "    acknowledgement:               This study used data collected and made fr...\n",
       "    AD2CP:                         {&#x27;calibration_date&#x27;: &#x27;2021-02-03&#x27;, &#x27;factor...\n",
       "    altimeter:                     {&#x27;make&#x27;: &#x27;UNKNOWN&#x27;, &#x27;model&#x27;: &#x27;UNKNOWN&#x27;, &#x27;s...\n",
       "    basin:                         Bornholm Basin\n",
       "    cdm_data_type:                 TimeSeries\n",
       "    cdm_timeseries_variables:      profile_index\n",
       "    ...                            ...\n",
       "    total_dives:                   132.0\n",
       "    transmission_system:           IRIDIUM\n",
       "    variables:                     time\\nlatitude\\nlongitude\\nnav_state\\nhead...\n",
       "    Westernmost_Easting:           16.041083333333333\n",
       "    wmo_id:                        6801707\n",
       "    adcp_attributes:               {&#x27;alternateEnable&#x27;: 0, &#x27;alternateEnable_de...</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-ad92a778-dd46-4840-8d42-2bb5bd73a226' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ad92a778-dd46-4840-8d42-2bb5bd73a226' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1410</li><li><span class='xr-has-index'>cell</span>: 30</li><li><span class='xr-has-index'>beam</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-413888a7-c454-46a4-9548-944005ea07a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-413888a7-c454-46a4-9548-944005ea07a4' class='xr-section-summary' >Coordinates: <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>latitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4245c4d4-8735-4ba7-b246-b1f60df3f211' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4245c4d4-8735-4ba7-b246-b1f60df3f211' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef07385f-81d4-485c-8e36-ebabd6e8371b' class='xr-var-data-in' type='checkbox'><label for='data-ef07385f-81d4-485c-8e36-ebabd6e8371b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd><dt><span>actual_range :</span></dt><dd>[55.29526667 55.54708333]</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>colorBarMaximum :</span></dt><dd>90.0</dd><dt><span>colorBarMinimum :</span></dt><dd>-90.0</dd><dt><span>comment :</span></dt><dd>Estimated between surface fixes</dd><dt><span>conversion :</span></dt><dd>nmea2deg</dd><dt><span>coordinate_reference_frame :</span></dt><dd>urn:ogc:crs:EPSG::4326</dd><dt><span>ioos_category :</span></dt><dd>Location</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>references :</span></dt><dd>WGS84</dd><dt><span>source :</span></dt><dd>NAV_LATITUDE</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd></dl></div><div class='xr-var-data'><pre>[1410 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'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d344f3d6-4e4f-4d65-bd54-f106cb15f798' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d344f3d6-4e4f-4d65-bd54-f106cb15f798' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bc8e218-c88e-4096-bca5-7dc1f521e08d' class='xr-var-data-in' type='checkbox'><label for='data-7bc8e218-c88e-4096-bca5-7dc1f521e08d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd><dt><span>actual_range :</span></dt><dd>[16.04108333 16.32393333]</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>colorBarMaximum :</span></dt><dd>180.0</dd><dt><span>colorBarMinimum :</span></dt><dd>-180.0</dd><dt><span>comment :</span></dt><dd>Estimated between surface fixes</dd><dt><span>conversion :</span></dt><dd>nmea2deg</dd><dt><span>coordinate_reference_frame :</span></dt><dd>urn:ogc:crs:EPSG::4326</dd><dt><span>ioos_category :</span></dt><dd>Location</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>references :</span></dt><dd>WGS84</dd><dt><span>source :</span></dt><dd>NAV_LONGITUDE</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-01-20T00:54:39.801999872 .....</div><input id='attrs-ae053bc0-a909-4650-a911-25184ecf2923' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae053bc0-a909-4650-a911-25184ecf2923' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20527e74-6c74-4f0e-9ee8-1bee6941930c' class='xr-var-data-in' type='checkbox'><label for='data-20527e74-6c74-4f0e-9ee8-1bee6941930c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd><dt><span>actual_range :</span></dt><dd>[1.64130963e+09 1.64292716e+09]</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>ioos_category :</span></dt><dd>Time</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>time_origin :</span></dt><dd>01-JAN-1970 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-01-20T00:54:39.801999872&#x27;, &#x27;2022-01-20T00:55:09.824000000&#x27;,\n",
       "       &#x27;2022-01-20T00:55:39.839000064&#x27;, ..., &#x27;2022-01-23T08:01:32.092000000&#x27;,\n",
       "       &#x27;2022-01-23T08:02:02.148000000&#x27;, &#x27;2022-01-23T08:02:32.169999872&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-430044ef-3b45-4f87-a57d-a5bf25f0dbe1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-430044ef-3b45-4f87-a57d-a5bf25f0dbe1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a445cf3-f3a1-4d88-b620-55b940ae9e5d' class='xr-var-data-in' type='checkbox'><label for='data-2a445cf3-f3a1-4d88-b620-55b940ae9e5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Height</dd><dt><span>_CoordinateZisPositive :</span></dt><dd>down</dd><dt><span>accuracy :</span></dt><dd>1</dd><dt><span>actual_range :</span></dt><dd>[ 0.08135668 79.80132037]</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>colorBarMaximum :</span></dt><dd>8000.0</dd><dt><span>colorBarMinimum :</span></dt><dd>-8000.0</dd><dt><span>colorBarPalette :</span></dt><dd>TopographyDepth</dd><dt><span>comment :</span></dt><dd>from science pressure and interpolated</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>ioos_category :</span></dt><dd>Location</dd><dt><span>long_name :</span></dt><dd>glider depth</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>reference_datum :</span></dt><dd>surface</dd><dt><span>source :</span></dt><dd>pressure</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_max :</span></dt><dd>2000.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cell</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 24 25 26 27 28 29</div><input id='attrs-93205e03-22f5-45a5-bee5-5531f68f7d76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93205e03-22f5-45a5-bee5-5531f68f7d76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0154e36a-d7a1-4979-bcfa-dba00487b258' class='xr-var-data-in' type='checkbox'><label for='data-0154e36a-d7a1-4979-bcfa-dba00487b258' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[ 0 29]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>Cell</dd><dt><span>units :</span></dt><dd>count</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29], dtype=int16)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>beam</span></div><div class='xr-var-dims'>(beam)</div><div class='xr-var-dtype'>int16</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-deda0a12-0ba9-4715-acf7-eaacaa6bd265' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-deda0a12-0ba9-4715-acf7-eaacaa6bd265' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a112b4d-d23e-4126-8a79-e2806a0364a5' class='xr-var-data-in' type='checkbox'><label for='data-4a112b4d-d23e-4126-8a79-e2806a0364a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[0 3]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>Beam</dd><dt><span>units :</span></dt><dd>count</dd></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3], dtype=int16)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f6406d07-b5f6-4477-9444-e72c3d297ab1' class='xr-section-summary-in' type='checkbox'  ><label for='section-f6406d07-b5f6-4477-9444-e72c3d297ab1' class='xr-section-summary' >Data variables: <span>(55)</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>ad2cp_beam1_cell_number1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3bb4e362-531c-4382-955f-f05ac142694d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bb4e362-531c-4382-955f-f05ac142694d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4de2ef2-3687-426e-8f97-c566613cf879' class='xr-var-data-in' type='checkbox'><label for='data-d4de2ef2-3687-426e-8f97-c566613cf879' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-0.74  0.36]</dd><dt><span>colorBarMaximum :</span></dt><dd>100.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>ioos_category :</span></dt><dd>Statistics</dd><dt><span>long_name :</span></dt><dd>glider beam 1 measure from AD2CP in cell 1</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>AD2CP_V1_CN1</dd><dt><span>standard_name :</span></dt><dd>platform_beam1_measure_ad2cp_cell1</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ad2cp_beam2_cell_number1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-707c79ab-60a3-45c5-9650-a20cc36c8a1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-707c79ab-60a3-45c5-9650-a20cc36c8a1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d34c74b-42f1-47c1-b674-d7ec45a0b49f' class='xr-var-data-in' type='checkbox'><label for='data-1d34c74b-42f1-47c1-b674-d7ec45a0b49f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-0.38  0.46]</dd><dt><span>colorBarMaximum :</span></dt><dd>100.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>ioos_category :</span></dt><dd>Statistics</dd><dt><span>long_name :</span></dt><dd>glider beam 2 measure from AD2CP in cell 1</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>AD2CP_V2_CN1</dd><dt><span>standard_name :</span></dt><dd>platform_beam1_measure_ad2cp_cell1</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ad2cp_beam3_cell_number1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-89ba18eb-4f6f-42cf-923e-63685dbf4a89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89ba18eb-4f6f-42cf-923e-63685dbf4a89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2236816c-dc93-4b25-ac25-5d9497323f07' class='xr-var-data-in' type='checkbox'><label for='data-2236816c-dc93-4b25-ac25-5d9497323f07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-0.45  0.56]</dd><dt><span>colorBarMaximum :</span></dt><dd>100.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>ioos_category :</span></dt><dd>Statistics</dd><dt><span>long_name :</span></dt><dd>glider beam 3 measure from AD2CP in cell 1</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>AD2CP_V3_CN1</dd><dt><span>standard_name :</span></dt><dd>platform_beam1_measure_ad2cp_cell1</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ad2cp_beam4_cell_number1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d9501f5-251a-4070-9364-404a6e6fb5c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d9501f5-251a-4070-9364-404a6e6fb5c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a226125-53a6-4274-9944-15dfc99596ed' class='xr-var-data-in' type='checkbox'><label for='data-5a226125-53a6-4274-9944-15dfc99596ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-0.38  0.3 ]</dd><dt><span>colorBarMaximum :</span></dt><dd>100.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>ioos_category :</span></dt><dd>Statistics</dd><dt><span>long_name :</span></dt><dd>glider beam 4 measure from AD2CP in cell 1</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>AD2CP_V4_CN1</dd><dt><span>standard_name :</span></dt><dd>platform_beam1_measure_ad2cp_cell1</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ad2cp_heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d08a4f55-8999-4712-9b8f-6e70b7929cdd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d08a4f55-8999-4712-9b8f-6e70b7929cdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca76e301-816b-4d6c-9a6d-1740941f962c' class='xr-var-data-in' type='checkbox'><label for='data-ca76e301-816b-4d6c-9a6d-1740941f962c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[3.000e-01 3.599e+02]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider heading angle from AD2CP</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>AD2CP_HEADING</dd><dt><span>standard_name :</span></dt><dd>platform_orientation_ad2cp</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ad2cp_pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-73a13587-b0c3-4d58-b69f-d402776613a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73a13587-b0c3-4d58-b69f-d402776613a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac17755f-2bd9-43fb-9372-21741e54ffc9' class='xr-var-data-in' type='checkbox'><label for='data-ac17755f-2bd9-43fb-9372-21741e54ffc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-77.3  59.9]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider pitch angle from AD2CP</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>AD2CP_PITCH</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle_ad2cp</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ad2cp_pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-899311ff-e47a-41f7-afdd-9c9bc358c0cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-899311ff-e47a-41f7-afdd-9c9bc358c0cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6c93f72-1bd7-4af3-816c-b0cb1c94889c' class='xr-var-data-in' type='checkbox'><label for='data-e6c93f72-1bd7-4af3-816c-b0cb1c94889c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[ 0.8 81.5]</dd><dt><span>ioos_category :</span></dt><dd>Pressure</dd><dt><span>long_name :</span></dt><dd>glider pressure from AD2CP</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>AD2CP_PRESSURE</dd><dt><span>standard_name :</span></dt><dd>platform_pressure_ad2cp</dd><dt><span>units :</span></dt><dd>dbar</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ad2cp_roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ed2a7ec-376f-4dfd-8c34-0e9653dbbc19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ed2a7ec-376f-4dfd-8c34-0e9653dbbc19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3812ab00-9a08-47d3-acc4-42d9a1c1c8e5' class='xr-var-data-in' type='checkbox'><label for='data-3812ab00-9a08-47d3-acc4-42d9a1c1c8e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-43.   48.8]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider roll angle from AD2CP</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>AD2CP_ROLL</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle_ad2cp</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ad2cp_time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9856a32d-63cd-4d71-a61f-0373e60721cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9856a32d-63cd-4d71-a61f-0373e60721cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e04d81d8-a592-4cd2-bbdf-14512f15e68e' class='xr-var-data-in' type='checkbox'><label for='data-e04d81d8-a592-4cd2-bbdf-14512f15e68e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[1.64264007e+09 1.64292495e+09]</dd><dt><span>ioos_category :</span></dt><dd>Time</dd><dt><span>long_name :</span></dt><dd>AD2CP recorded time</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>AD2CP_TIME</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>time_origin :</span></dt><dd>01-JAN-1970 00:00:00</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>altimeter</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7c4a30e8-36ba-4874-af12-7ac7f00c076b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c4a30e8-36ba-4874-af12-7ac7f00c076b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d580b29f-d2a5-4e8a-b20b-ae563b827fef' class='xr-var-data-in' type='checkbox'><label for='data-d580b29f-d2a5-4e8a-b20b-ae563b827fef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-1.      44.01878]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider altimeter reading</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>Altitude</dd><dt><span>standard_name :</span></dt><dd>glider_altimeter_reading</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angular_cmd</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c1e9678-9881-49d0-8069-2d7f6fe71532' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c1e9678-9881-49d0-8069-2d7f6fe71532' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e157029f-fbc7-47cc-af33-1167ea77a77c' class='xr-var-data-in' type='checkbox'><label for='data-e157029f-fbc7-47cc-af33-1167ea77a77c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-70  70]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider angular command</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>AngCmd</dd><dt><span>standard_name :</span></dt><dd>angular_command</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angular_pos</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-000f8e08-f522-4e63-ba8e-1b8f89a2fc14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-000f8e08-f522-4e63-ba8e-1b8f89a2fc14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7524545a-abbf-4eb7-9455-68d95a7a9432' class='xr-var-data-in' type='checkbox'><label for='data-7524545a-abbf-4eb7-9455-68d95a7a9432' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-70.64012  70.4    ]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider angular position</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>AngPos</dd><dt><span>standard_name :</span></dt><dd>angular_position</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ballast_cmd</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e1379ea3-0922-4c67-92dd-a7a564f2718d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1379ea3-0922-4c67-92dd-a7a564f2718d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dea18a8e-a1f3-45e0-bea9-cbb13cf41001' class='xr-var-data-in' type='checkbox'><label for='data-dea18a8e-a1f3-45e0-bea9-cbb13cf41001' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-304  500]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider ballast command</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>BallastCmd</dd><dt><span>standard_name :</span></dt><dd>ballast_command</dd><dt><span>units :</span></dt><dd>ml</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ballast_pos</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-11f2c6bf-a842-4eeb-89e6-e515f31fa25d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11f2c6bf-a842-4eeb-89e6-e515f31fa25d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cc4a063-0782-4a2e-b39b-fb918dc21e2d' class='xr-var-data-in' type='checkbox'><label for='data-1cc4a063-0782-4a2e-b39b-fb918dc21e2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-311.677   509.6743]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider ballast position</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>BallastPos</dd><dt><span>standard_name :</span></dt><dd>ballast_position</dd><dt><span>units :</span></dt><dd>ml</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlorophyll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0f826c43-597b-49e1-87ff-727e9a8adf5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f826c43-597b-49e1-87ff-727e9a8adf5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f315f3fa-ce46-452d-9546-f650ca78928b' class='xr-var-data-in' type='checkbox'><label for='data-f315f3fa-ce46-452d-9546-f650ca78928b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[0.1452 0.4961]</dd><dt><span>colorBarMaximum :</span></dt><dd>30.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.03</dd><dt><span>colorBarScale :</span></dt><dd>Log</dd><dt><span>instrument :</span></dt><dd>instrument_flourometer</dd><dt><span>ioos_category :</span></dt><dd>Ocean Color</dd><dt><span>long_name :</span></dt><dd>chlorophyll</dd><dt><span>observation_type :</span></dt><dd>calculated</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>sensitivity :</span></dt><dd>0.025</dd><dt><span>source :</span></dt><dd>FLNTU_CHL_SCALED</dd><dt><span>standard_name :</span></dt><dd>concentration_of_chlorophyll_in_sea_water</dd><dt><span>units :</span></dt><dd>mg m-3</dd><dt><span>valid_max :</span></dt><dd>50.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlorophyll_qc</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0cd65d29-428c-4340-96c7-0bac2de8c038' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cd65d29-428c-4340-96c7-0bac2de8c038' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c800f47-8b41-4a06-b803-cefb330a82f0' class='xr-var-data-in' type='checkbox'><label for='data-3c800f47-8b41-4a06-b803-cefb330a82f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[1 1]</dd><dt><span>colorBarMaximum :</span></dt><dd>10.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>Quality control flags from IOOS QC QARTOD https://github.com/ioos/ioos_qc Version: 2.1.0. Using config: [&lt;Call stream_id=chlorophyll function=qartod.gross_range_test(suspect_span=[0, 15], fail_span=[-1, 20])&gt;, &lt;Call stream_id=chlorophyll function=qartod.spike_test(suspect_threshold=1, fail_threshold=5)&gt;, &lt;Call stream_id=chlorophyll function=qartod.location_test(bbox=[10, 50, 25, 60])&gt;].</dd><dt><span>flag_meanings :</span></dt><dd>GOOD, UNKNOWN, SUSPECT, FAIL, MISSING</dd><dt><span>flag_values :</span></dt><dd>[1. 2. 3. 4. 9.]</dd><dt><span>ioos_category :</span></dt><dd>Quality</dd><dt><span>ioos_qc_module :</span></dt><dd>qartod</dd><dt><span>long_name :</span></dt><dd>quality control flags for chlorophyll</dd><dt><span>quality_control_conventions :</span></dt><dd>IOOS QARTOD standard flags</dd><dt><span>quality_control_set :</span></dt><dd>1.0</dd><dt><span>standard_name :</span></dt><dd>concentration_of_chlorophyll_in_sea_water_flag</dd><dt><span>valid_max :</span></dt><dd>9</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlorophyll_raw</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a8231479-cb3c-457f-93fa-cd9eb023dc3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8231479-cb3c-457f-93fa-cd9eb023dc3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b202c287-b314-45df-a92a-458394582340' class='xr-var-data-in' type='checkbox'><label for='data-b202c287-b314-45df-a92a-458394582340' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[60 89]</dd><dt><span>colorBarMaximum :</span></dt><dd>100.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>instrument :</span></dt><dd>instrument_flourometer</dd><dt><span>ioos_category :</span></dt><dd>Statistics</dd><dt><span>long_name :</span></dt><dd>raw chlorophyll</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>FLNTU_CHL_COUNT</dd><dt><span>standard_name :</span></dt><dd>raw_chlorophyll_in_sea_water</dd><dt><span>units :</span></dt><dd>counts</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conductivity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-330cfa70-4060-42a8-8b87-df464997c9ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-330cfa70-4060-42a8-8b87-df464997c9ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1a0de1f-6ed2-4db6-b4d5-ed1657e59ac4' class='xr-var-data-in' type='checkbox'><label for='data-a1a0de1f-6ed2-4db6-b4d5-ed1657e59ac4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>accuracy :</span></dt><dd>0.003</dd><dt><span>actual_range :</span></dt><dd>[ 7.8825 17.3067]</dd><dt><span>colorBarMaximum :</span></dt><dd>40.0</dd><dt><span>colorBarMinimum :</span></dt><dd>30.0</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>ioos_category :</span></dt><dd>Salinity</dd><dt><span>long_name :</span></dt><dd>water conductivity</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>LEGATO_CONDUCTIVITY</dd><dt><span>standard_name :</span></dt><dd>sea_water_electrical_conductivity</dd><dt><span>units :</span></dt><dd>mS cm-1</dd><dt><span>valid_max :</span></dt><dd>85.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conductivity_qc</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-32220023-c519-4ffb-80d6-8983f6e7be1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32220023-c519-4ffb-80d6-8983f6e7be1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab0c8363-c9d0-48a3-8b2d-2cc8c28611f8' class='xr-var-data-in' type='checkbox'><label for='data-ab0c8363-c9d0-48a3-8b2d-2cc8c28611f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[1 1]</dd><dt><span>colorBarMaximum :</span></dt><dd>10.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>Quality control flags from IOOS QC QARTOD https://github.com/ioos/ioos_qc Version: 2.1.0. Using config: [&lt;Call stream_id=conductivity function=qartod.gross_range_test(suspect_span=[6, 42], fail_span=[3, 45])&gt;, &lt;Call stream_id=conductivity function=qartod.location_test(bbox=[10, 50, 25, 60])&gt;].  Threshold values from EuroGOOS DATA-MEQ Working Group (2010) Recommendations for in-situ data Near Real Time Quality Control [Version 1.2]. EuroGOOS, 23pp. DOI https://dx.doi.org/10.25607/OBP-214.</dd><dt><span>flag_meanings :</span></dt><dd>GOOD, UNKNOWN, SUSPECT, FAIL, MISSING</dd><dt><span>flag_values :</span></dt><dd>[1. 2. 3. 4. 9.]</dd><dt><span>ioos_category :</span></dt><dd>Quality</dd><dt><span>ioos_qc_module :</span></dt><dd>qartod</dd><dt><span>long_name :</span></dt><dd>quality control flags for water conductivity</dd><dt><span>quality_control_conventions :</span></dt><dd>IOOS QARTOD standard flags</dd><dt><span>quality_control_set :</span></dt><dd>1.0</dd><dt><span>standard_name :</span></dt><dd>sea_water_electrical_conductivity_flag</dd><dt><span>valid_max :</span></dt><dd>9</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>declination</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4137230a-5ee8-46b2-84a3-91c64978dd53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4137230a-5ee8-46b2-84a3-91c64978dd53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12d48039-029b-462e-86c6-2dcc20370397' class='xr-var-data-in' type='checkbox'><label for='data-12d48039-029b-462e-86c6-2dcc20370397' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[6. 6.]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>declination</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>Declination</dd><dt><span>standard_name :</span></dt><dd>declination</dd><dt><span>units :</span></dt><dd>None</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>density</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a43d9068-5f1f-4124-a1e0-b33459482311' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a43d9068-5f1f-4124-a1e0-b33459482311' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe9f5136-45f9-4ffb-b789-1c0e98d16cbb' class='xr-var-data-in' type='checkbox'><label for='data-fe9f5136-45f9-4ffb-b789-1c0e98d16cbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>actual_range :</span></dt><dd>[1005.952 1012.175]</dd><dt><span>colorBarMaximum :</span></dt><dd>28.0</dd><dt><span>colorBarMinimum :</span></dt><dd>20.0</dd><dt><span>comment :</span></dt><dd>raw, uncorrected salinity</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>ioos_category :</span></dt><dd>Salinity</dd><dt><span>long_name :</span></dt><dd>Density</dd><dt><span>method :</span></dt><dd>get_derived_eos_raw</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>precision :</span></dt><dd>0.01</dd><dt><span>sources :</span></dt><dd>salinity temperature pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_density</dd><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>valid_max :</span></dt><dd>1040.0</dd><dt><span>valid_min :</span></dt><dd>1000.0</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>density_qc</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc525552-f16c-4ec0-89c7-30f662580b5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc525552-f16c-4ec0-89c7-30f662580b5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6d44f03-3f73-4384-9d68-62b25842bd9f' class='xr-var-data-in' type='checkbox'><label for='data-b6d44f03-3f73-4384-9d68-62b25842bd9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[1 4]</dd><dt><span>colorBarMaximum :</span></dt><dd>10.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>Quality control flags from IOOS QC QARTOD https://github.com/ioos/ioos_qc Version: 2.1.0. Using config: [&lt;Call stream_id=temperature function=qartod.gross_range_test(suspect_span=[0, 30], fail_span=[-2.5, 40])&gt;, &lt;Call stream_id=temperature function=qartod.spike_test(suspect_threshold=2.0, fail_threshold=6.0)&gt;, &lt;Call stream_id=temperature function=qartod.location_test(bbox=[10, 50, 25, 60])&gt;, &lt;Call stream_id=conductivity function=qartod.gross_range_test(suspect_span=[6, 42], fail_span=[3, 45])&gt;, &lt;Call stream_id=salinity function=qartod.gross_range_test(suspect_span=[5, 38], fail_span=[2, 41])&gt;, &lt;Call stream_id=salinity function=qartod.spike_test(suspect_threshold=0.3, fail_threshold=0.9)&gt;, &lt;Call stream_id=salinity function=qartod.location_test(bbox=[10, 50, 25, 60])&gt;].  Threshold values from EuroGOOS DATA-MEQ Working Group (2010) Recommendations for in-situ data Near Real Time Quality Control [Version 1.2]. EuroGOOS, 23pp. DOI https://dx.doi.org/10.25607/OBP-214.</dd><dt><span>flag_meanings :</span></dt><dd>GOOD, UNKNOWN, SUSPECT, FAIL, MISSING</dd><dt><span>flag_values :</span></dt><dd>[1. 2. 3. 4. 9.]</dd><dt><span>ioos_category :</span></dt><dd>Quality</dd><dt><span>ioos_qc_module :</span></dt><dd>qartod</dd><dt><span>long_name :</span></dt><dd>quality control flags for Density</dd><dt><span>quality_control_conventions :</span></dt><dd>IOOS QARTOD standard flags</dd><dt><span>quality_control_set :</span></dt><dd>1.0</dd><dt><span>standard_name :</span></dt><dd>sea_water_density_flag</dd><dt><span>valid_max :</span></dt><dd>9</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>desired_heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-354c2b27-a6b4-4a7c-9c0f-e3fcb412e80d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-354c2b27-a6b4-4a7c-9c0f-e3fcb412e80d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78ced60f-816d-418b-b111-bdde9a93650e' class='xr-var-data-in' type='checkbox'><label for='data-78ced60f-816d-418b-b111-bdde9a93650e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[21 48]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider desired heading angle</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>DesiredH</dd><dt><span>standard_name :</span></dt><dd>platform_desired_orientation</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance_over_ground</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-613388ef-6b8d-4f5e-8b56-f24f283b6d73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-613388ef-6b8d-4f5e-8b56-f24f283b6d73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87fa9569-c80f-4429-88be-38b748401466' class='xr-var-data-in' type='checkbox'><label for='data-87fa9569-c80f-4429-88be-38b748401466' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[229.4861 269.6958]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>distance over ground flown since mission start</dd><dt><span>method :</span></dt><dd>get_distance_over_ground</dd><dt><span>sources :</span></dt><dd>latitude longitude</dd><dt><span>units :</span></dt><dd>km</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dive_num</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0472eca-ad98-4296-890b-649ea92fd620' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0472eca-ad98-4296-890b-649ea92fd620' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82c67617-0e11-40f0-bdfd-f8364ee9cf74' class='xr-var-data-in' type='checkbox'><label for='data-82c67617-0e11-40f0-bdfd-f8364ee9cf74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[ 840. 1002.]</dd><dt><span>colorBarMaximum :</span></dt><dd>100.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>ioos_category :</span></dt><dd>Statistics</dd><dt><span>long_name :</span></dt><dd>glider dive number from original SeaExplorer filename</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>fnum</dd><dt><span>standard_name :</span></dt><dd>dive_number</dd><dt><span>units :</span></dt><dd>None</dd></dl></div><div class='xr-var-data'><pre>[1410 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'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0780679c-5559-46a9-84d6-e78e04a02b8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0780679c-5559-46a9-84d6-e78e04a02b8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3322be9-d8cf-4eda-82c9-34732649b338' class='xr-var-data-in' type='checkbox'><label for='data-c3322be9-d8cf-4eda-82c9-34732649b338' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[  0.782596 358.0527  ]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider heading angle</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>Heading</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e487f14a-b754-4093-964f-9a2db621dd92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e487f14a-b754-4093-964f-9a2db621dd92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44b997d0-6d7e-4da1-a3b0-0cee14196535' class='xr-var-data-in' type='checkbox'><label for='data-44b997d0-6d7e-4da1-a3b0-0cee14196535' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[73758.34 76476.32]</dd><dt><span>ioos_category :</span></dt><dd>Pressure</dd><dt><span>long_name :</span></dt><dd>internal pressure</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>Pa</dd><dt><span>standard_name :</span></dt><dd>internal_pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_temperature</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8780da41-6297-493f-8a5f-cdc7fdcce2ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8780da41-6297-493f-8a5f-cdc7fdcce2ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfd5cc04-9cc5-44b4-93e8-d4c61fd460c5' class='xr-var-data-in' type='checkbox'><label for='data-cfd5cc04-9cc5-44b4-93e8-d4c61fd460c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[6.  8.6]</dd><dt><span>colorBarMaximum :</span></dt><dd>40.0</dd><dt><span>colorBarMinimum :</span></dt><dd>-10.0</dd><dt><span>ioos_category :</span></dt><dd>Temperature</dd><dt><span>long_name :</span></dt><dd>internal temperature</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>Temperature</dd><dt><span>standard_name :</span></dt><dd>internal_temperature</dd><dt><span>units :</span></dt><dd>Celsius</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>linear_cmd</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c204289-fd60-49ac-88f1-7b554ed2219d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c204289-fd60-49ac-88f1-7b554ed2219d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02653288-66d5-4da4-a5b6-8e07fd5ef8a3' class='xr-var-data-in' type='checkbox'><label for='data-02653288-66d5-4da4-a5b6-8e07fd5ef8a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[  5 100]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider linear command</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>LinCmd</dd><dt><span>standard_name :</span></dt><dd>linear_command</dd><dt><span>units :</span></dt><dd>cm</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>linear_pos</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-957775da-dfc0-4a6b-b769-28eb4de66a86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-957775da-dfc0-4a6b-b769-28eb4de66a86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-358d2a9f-224f-4883-98cb-df9731ed2593' class='xr-var-data-in' type='checkbox'><label for='data-358d2a9f-224f-4883-98cb-df9731ed2593' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[  4.50786 100.7    ]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider linear position</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>LinPos</dd><dt><span>standard_name :</span></dt><dd>linear_position</dd><dt><span>units :</span></dt><dd>cm</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nav_state</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1840b90b-7592-4357-b69f-34e827ffd4db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1840b90b-7592-4357-b69f-34e827ffd4db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4ed1978-78bf-45ac-976e-555ff73b03f3' class='xr-var-data-in' type='checkbox'><label for='data-f4ed1978-78bf-45ac-976e-555ff73b03f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[100 118]</dd><dt><span>ioos_category :</span></dt><dd>Statistics</dd><dt><span>long_name :</span></dt><dd>seaexplorer navigation state</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>NAV_RESOURCE</dd><dt><span>standard_name :</span></dt><dd>navigation_state</dd><dt><span>units :</span></dt><dd>None</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>oxygen_concentration</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6ffd1538-4ad8-4b63-a7e5-fd6d55d4013f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ffd1538-4ad8-4b63-a7e5-fd6d55d4013f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fd652eb-ced8-4f8b-905a-a57aff5e7c10' class='xr-var-data-in' type='checkbox'><label for='data-2fd652eb-ced8-4f8b-905a-a57aff5e7c10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>accuracy :</span></dt><dd>2% or 2.0</dd><dt><span>actual_range :</span></dt><dd>[  0.     383.1096]</dd><dt><span>colorBarMaximum :</span></dt><dd>500.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>correct_oxygen :</span></dt><dd>True</dd><dt><span>instrument :</span></dt><dd>instrument_phosphorescence</dd><dt><span>ioos_category :</span></dt><dd>Dissolved O2</dd><dt><span>long_name :</span></dt><dd>oxygen concentration</dd><dt><span>observation_type :</span></dt><dd>calculated</dd><dt><span>oxygen_concentration_QC_RTQC_methodology :</span></dt><dd>oxygen concentration corrected for salinity using gsw.O2sol_SP_pt withsalinity and potential temperature from dataset. Original oxygen concentration assumed to have been calculated using salinity = 0.0 PSU</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>reference_salinity :</span></dt><dd>0</dd><dt><span>source :</span></dt><dd>AROD_FT_DO</dd><dt><span>standard_name :</span></dt><dd>mole_concentration_of_dissolved_molecular_oxygen_in_sea_water</dd><dt><span>units :</span></dt><dd>mmol m-3</dd><dt><span>valid_max :</span></dt><dd>425.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>oxygen_concentration_qc</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4ed4823b-78d0-490d-b242-23e8a32badf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ed4823b-78d0-490d-b242-23e8a32badf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1f9cdeb-79a8-4ef4-8348-3d555469cd7e' class='xr-var-data-in' type='checkbox'><label for='data-f1f9cdeb-79a8-4ef4-8348-3d555469cd7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[1 4]</dd><dt><span>colorBarMaximum :</span></dt><dd>10.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>Quality control flags from IOOS QC QARTOD https://github.com/ioos/ioos_qc Version: 2.1.0. Using config: [&lt;Call stream_id=oxygen_concentration function=qartod.gross_range_test(suspect_span=[0, 350], fail_span=[0, 500])&gt;, &lt;Call stream_id=oxygen_concentration function=qartod.spike_test(suspect_threshold=10, fail_threshold=50)&gt;, &lt;Call stream_id=oxygen_concentration function=qartod.location_test(bbox=[10, 50, 25, 60])&gt;].</dd><dt><span>flag_meanings :</span></dt><dd>GOOD, UNKNOWN, SUSPECT, FAIL, MISSING</dd><dt><span>flag_values :</span></dt><dd>[1. 2. 3. 4. 9.]</dd><dt><span>ioos_category :</span></dt><dd>Quality</dd><dt><span>ioos_qc_module :</span></dt><dd>qartod</dd><dt><span>long_name :</span></dt><dd>quality control flags for oxygen concentration</dd><dt><span>quality_control_conventions :</span></dt><dd>IOOS QARTOD standard flags</dd><dt><span>quality_control_set :</span></dt><dd>1.0</dd><dt><span>standard_name :</span></dt><dd>mole_concentration_of_dissolved_molecular_oxygen_in_sea_water_flag</dd><dt><span>valid_max :</span></dt><dd>9</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4308df2d-d7fd-4917-a72d-4eeba9414744' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4308df2d-d7fd-4917-a72d-4eeba9414744' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cf0217c-dd21-4cfe-89b8-3c813502de4e' class='xr-var-data-in' type='checkbox'><label for='data-2cf0217c-dd21-4cfe-89b8-3c813502de4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-78.91396  60.15847]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider pitch angle</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>Pitch</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_density</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-304f6215-b43c-4419-98a9-2459fb5b5088' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-304f6215-b43c-4419-98a9-2459fb5b5088' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b90613a0-559f-436f-a96e-3a2ec83d0548' class='xr-var-data-in' type='checkbox'><label for='data-b90613a0-559f-436f-a96e-3a2ec83d0548' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>actual_range :</span></dt><dd>[1006.016 1011.867]</dd><dt><span>colorBarMaximum :</span></dt><dd>28.0</dd><dt><span>colorBarMinimum :</span></dt><dd>20.0</dd><dt><span>comment :</span></dt><dd>raw, uncorrected salinity</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>ioos_category :</span></dt><dd>Physical Oceanography</dd><dt><span>long_name :</span></dt><dd>water potential density</dd><dt><span>method :</span></dt><dd>get_derived_eos_raw</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>precision :</span></dt><dd>0.01</dd><dt><span>sources :</span></dt><dd>salinity temperature pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_density</dd><dt><span>units :</span></dt><dd>kg m-3</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_density_qc</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5175a9c6-440e-4990-8dd1-e4453f1fffe9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5175a9c6-440e-4990-8dd1-e4453f1fffe9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47fa4577-b5ef-4698-a6e2-c543d81dfe5c' class='xr-var-data-in' type='checkbox'><label for='data-47fa4577-b5ef-4698-a6e2-c543d81dfe5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[1 4]</dd><dt><span>colorBarMaximum :</span></dt><dd>10.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>Quality control flags from IOOS QC QARTOD https://github.com/ioos/ioos_qc Version: 2.1.0. Using config: [&lt;Call stream_id=temperature function=qartod.gross_range_test(suspect_span=[0, 30], fail_span=[-2.5, 40])&gt;, &lt;Call stream_id=temperature function=qartod.spike_test(suspect_threshold=2.0, fail_threshold=6.0)&gt;, &lt;Call stream_id=temperature function=qartod.location_test(bbox=[10, 50, 25, 60])&gt;, &lt;Call stream_id=conductivity function=qartod.gross_range_test(suspect_span=[6, 42], fail_span=[3, 45])&gt;, &lt;Call stream_id=salinity function=qartod.gross_range_test(suspect_span=[5, 38], fail_span=[2, 41])&gt;, &lt;Call stream_id=salinity function=qartod.spike_test(suspect_threshold=0.3, fail_threshold=0.9)&gt;, &lt;Call stream_id=salinity function=qartod.location_test(bbox=[10, 50, 25, 60])&gt;].  Threshold values from EuroGOOS DATA-MEQ Working Group (2010) Recommendations for in-situ data Near Real Time Quality Control [Version 1.2]. EuroGOOS, 23pp. DOI https://dx.doi.org/10.25607/OBP-214.</dd><dt><span>flag_meanings :</span></dt><dd>GOOD, UNKNOWN, SUSPECT, FAIL, MISSING</dd><dt><span>flag_values :</span></dt><dd>[1. 2. 3. 4. 9.]</dd><dt><span>ioos_category :</span></dt><dd>Quality</dd><dt><span>ioos_qc_module :</span></dt><dd>qartod</dd><dt><span>long_name :</span></dt><dd>quality control flags for water potential density</dd><dt><span>quality_control_conventions :</span></dt><dd>IOOS QARTOD standard flags</dd><dt><span>quality_control_set :</span></dt><dd>1.0</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_density_flag</dd><dt><span>valid_max :</span></dt><dd>9</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_temperature</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1080293e-988d-4e22-a43c-e1694359af1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1080293e-988d-4e22-a43c-e1694359af1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3216b4d-234d-4019-9cc6-1a1e67a43f5e' class='xr-var-data-in' type='checkbox'><label for='data-f3216b4d-234d-4019-9cc6-1a1e67a43f5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>accuracy :</span></dt><dd>0.002</dd><dt><span>actual_range :</span></dt><dd>[ 3.921233 10.77763 ]</dd><dt><span>colorBarMaximum :</span></dt><dd>32.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>raw, uncorrected salinity</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>ioos_category :</span></dt><dd>Temperature</dd><dt><span>long_name :</span></dt><dd>water potential temperature</dd><dt><span>method :</span></dt><dd>get_derived_eos_raw</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>precision :</span></dt><dd>0.001</dd><dt><span>sources :</span></dt><dd>salinity temperature pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd><dt><span>units :</span></dt><dd>Celsius</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_temperature_qc</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6240a418-3983-47cc-bff4-d4e87e13440e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6240a418-3983-47cc-bff4-d4e87e13440e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd42a7e9-e616-4723-b734-f52741526084' class='xr-var-data-in' type='checkbox'><label for='data-fd42a7e9-e616-4723-b734-f52741526084' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[1 4]</dd><dt><span>colorBarMaximum :</span></dt><dd>10.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>Quality control flags from IOOS QC QARTOD https://github.com/ioos/ioos_qc Version: 2.1.0. Using config: [&lt;Call stream_id=temperature function=qartod.gross_range_test(suspect_span=[0, 30], fail_span=[-2.5, 40])&gt;, &lt;Call stream_id=temperature function=qartod.spike_test(suspect_threshold=2.0, fail_threshold=6.0)&gt;, &lt;Call stream_id=temperature function=qartod.location_test(bbox=[10, 50, 25, 60])&gt;, &lt;Call stream_id=conductivity function=qartod.gross_range_test(suspect_span=[6, 42], fail_span=[3, 45])&gt;, &lt;Call stream_id=salinity function=qartod.gross_range_test(suspect_span=[5, 38], fail_span=[2, 41])&gt;, &lt;Call stream_id=salinity function=qartod.spike_test(suspect_threshold=0.3, fail_threshold=0.9)&gt;, &lt;Call stream_id=salinity function=qartod.location_test(bbox=[10, 50, 25, 60])&gt;].  Threshold values from EuroGOOS DATA-MEQ Working Group (2010) Recommendations for in-situ data Near Real Time Quality Control [Version 1.2]. EuroGOOS, 23pp. DOI https://dx.doi.org/10.25607/OBP-214.</dd><dt><span>flag_meanings :</span></dt><dd>GOOD, UNKNOWN, SUSPECT, FAIL, MISSING</dd><dt><span>flag_values :</span></dt><dd>[1. 2. 3. 4. 9.]</dd><dt><span>ioos_category :</span></dt><dd>Quality</dd><dt><span>ioos_qc_module :</span></dt><dd>qartod</dd><dt><span>long_name :</span></dt><dd>quality control flags for water potential temperature</dd><dt><span>quality_control_conventions :</span></dt><dd>IOOS QARTOD standard flags</dd><dt><span>quality_control_set :</span></dt><dd>1.0</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature_flag</dd><dt><span>valid_max :</span></dt><dd>9</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-23e94547-6f4f-4681-a7d1-17ccbbc3550a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23e94547-6f4f-4681-a7d1-17ccbbc3550a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bf93e28-1582-49bc-8dd1-cc326935095e' class='xr-var-data-in' type='checkbox'><label for='data-4bf93e28-1582-49bc-8dd1-cc326935095e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>accuracy :</span></dt><dd>0.5</dd><dt><span>actual_range :</span></dt><dd>[ 0.0821 80.5449]</dd><dt><span>colorBarMaximum :</span></dt><dd>5000.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>ctd pressure sensor</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>ioos_category :</span></dt><dd>Pressure</dd><dt><span>long_name :</span></dt><dd>water pressure</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>reference_datum :</span></dt><dd>sea-surface</dd><dt><span>source :</span></dt><dd>LEGATO_PRESSURE</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>dbar</dd><dt><span>valid_max :</span></dt><dd>1000.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profile_direction</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1bb99b44-91ff-4b01-9393-41c401d2fea7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bb99b44-91ff-4b01-9393-41c401d2fea7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0d4f166-955c-46df-b7ee-07b5831fa913' class='xr-var-data-in' type='checkbox'><label for='data-e0d4f166-955c-46df-b7ee-07b5831fa913' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-1.  1.]</dd><dt><span>colorBarMaximum :</span></dt><dd>360.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>-1 = ascending, 1 = descending</dd><dt><span>ioos_category :</span></dt><dd>Currents</dd><dt><span>long_name :</span></dt><dd>profile direction</dd><dt><span>sources :</span></dt><dd>pressure, time, dive_num</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profile_num</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-79e4f17b-9dce-4004-8389-a6e9422d3260' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79e4f17b-9dce-4004-8389-a6e9422d3260' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed3acb55-fbd6-4306-b969-e5c901dda213' class='xr-var-data-in' type='checkbox'><label for='data-ed3acb55-fbd6-4306-b969-e5c901dda213' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[215. 268.]</dd><dt><span>colorBarMaximum :</span></dt><dd>100.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>ioos_category :</span></dt><dd>Statistics</dd><dt><span>long_name :</span></dt><dd>profile number</dd><dt><span>sources :</span></dt><dd>pressure, time, dive_num</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1410 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'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f2df1d3-c71e-4a95-81e3-b651fede2073' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f2df1d3-c71e-4a95-81e3-b651fede2073' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18d51ce1-42f1-426d-bf48-135cf3d7d8ea' class='xr-var-data-in' type='checkbox'><label for='data-18d51ce1-42f1-426d-bf48-135cf3d7d8ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-42.88686  48.54694]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider roll angle</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>Roll</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ed506a48-7d7b-4a80-9308-6afb24a4014f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed506a48-7d7b-4a80-9308-6afb24a4014f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8eb94dbe-5f76-4d36-a075-0698b006022e' class='xr-var-data-in' type='checkbox'><label for='data-8eb94dbe-5f76-4d36-a075-0698b006022e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>actual_range :</span></dt><dd>[ 7.50051 15.34021]</dd><dt><span>colorBarMaximum :</span></dt><dd>37.0</dd><dt><span>colorBarMinimum :</span></dt><dd>32.0</dd><dt><span>comment :</span></dt><dd>raw, uncorrected salinity</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>ioos_category :</span></dt><dd>Salinity</dd><dt><span>long_name :</span></dt><dd>water salinity</dd><dt><span>method :</span></dt><dd>get_derived_eos_raw</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>precision :</span></dt><dd>0.01</dd><dt><span>sources :</span></dt><dd>conductivity temperature pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_practical_salinity</dd><dt><span>units :</span></dt><dd>1e-3</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity_qc</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-776f5399-c4f2-4dfc-811a-861f4f82cae5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-776f5399-c4f2-4dfc-811a-861f4f82cae5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e7e7d76-af9b-432b-8cf6-a15b3fdc16a5' class='xr-var-data-in' type='checkbox'><label for='data-4e7e7d76-af9b-432b-8cf6-a15b3fdc16a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[1 4]</dd><dt><span>colorBarMaximum :</span></dt><dd>10.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>Quality control flags from IOOS QC QARTOD https://github.com/ioos/ioos_qc Version: 2.1.0. Using config: [&lt;Call stream_id=conductivity function=qartod.gross_range_test(suspect_span=[6, 42], fail_span=[3, 45])&gt;, &lt;Call stream_id=salinity function=qartod.gross_range_test(suspect_span=[5, 38], fail_span=[2, 41])&gt;, &lt;Call stream_id=salinity function=qartod.spike_test(suspect_threshold=0.3, fail_threshold=0.9)&gt;, &lt;Call stream_id=salinity function=qartod.location_test(bbox=[10, 50, 25, 60])&gt;].  Threshold values from EuroGOOS DATA-MEQ Working Group (2010) Recommendations for in-situ data Near Real Time Quality Control [Version 1.2]. EuroGOOS, 23pp. DOI https://dx.doi.org/10.25607/OBP-214.</dd><dt><span>flag_meanings :</span></dt><dd>GOOD, UNKNOWN, SUSPECT, FAIL, MISSING</dd><dt><span>flag_values :</span></dt><dd>[1. 2. 3. 4. 9.]</dd><dt><span>ioos_category :</span></dt><dd>Quality</dd><dt><span>ioos_qc_module :</span></dt><dd>qartod</dd><dt><span>long_name :</span></dt><dd>quality control flags for water salinity</dd><dt><span>quality_control_conventions :</span></dt><dd>IOOS QARTOD standard flags</dd><dt><span>quality_control_set :</span></dt><dd>1.0</dd><dt><span>standard_name :</span></dt><dd>sea_water_practical_salinity_flag</dd><dt><span>valid_max :</span></dt><dd>9</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>security_level</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d32ee1fb-6410-4d8c-b797-259230b340f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d32ee1fb-6410-4d8c-b797-259230b340f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edaa27f9-d2e2-4ca3-a90b-da180598b193' class='xr-var-data-in' type='checkbox'><label for='data-edaa27f9-d2e2-4ca3-a90b-da180598b193' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[   0 2080]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>security level</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>SecurityLevel</dd><dt><span>standard_name :</span></dt><dd>security_level</dd><dt><span>units :</span></dt><dd>None</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-975cda32-fdaf-4d78-a0f0-16e97096624f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-975cda32-fdaf-4d78-a0f0-16e97096624f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9380606c-be49-4230-88f8-1750c33bf5b6' class='xr-var-data-in' type='checkbox'><label for='data-9380606c-be49-4230-88f8-1750c33bf5b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>accuracy :</span></dt><dd>0.002</dd><dt><span>actual_range :</span></dt><dd>[ 3.9213 10.7834]</dd><dt><span>colorBarMaximum :</span></dt><dd>32.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>ioos_category :</span></dt><dd>Temperature</dd><dt><span>long_name :</span></dt><dd>water temperature</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>LEGATO_TEMPERATURE</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>valid_max :</span></dt><dd>42.0</dd><dt><span>valid_min :</span></dt><dd>-5.0</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_oxygen</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-35cfd14e-f334-4765-a5a5-ca9e2799dcc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35cfd14e-f334-4765-a5a5-ca9e2799dcc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-724fae93-283a-4478-bf46-d02c74b15788' class='xr-var-data-in' type='checkbox'><label for='data-724fae93-283a-4478-bf46-d02c74b15788' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>actual_range :</span></dt><dd>[ 3.933 10.74 ]</dd><dt><span>colorBarMaximum :</span></dt><dd>500.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>instrument :</span></dt><dd>instrument_thermistor</dd><dt><span>ioos_category :</span></dt><dd>Temperature</dd><dt><span>long_name :</span></dt><dd>oxygen sensor temperature</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>AROD_FT_TEMP</dd><dt><span>standard_name :</span></dt><dd>temperature_of_sensor_for_oxygen_in_sea_water</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>valid_max :</span></dt><dd>45.0</dd><dt><span>valid_min :</span></dt><dd>-3.0</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_qc</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00f35978-b796-4933-a5b5-a2883de73fd5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00f35978-b796-4933-a5b5-a2883de73fd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-794beae0-79f6-4ece-8384-ba164ceb74de' class='xr-var-data-in' type='checkbox'><label for='data-794beae0-79f6-4ece-8384-ba164ceb74de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[1 1]</dd><dt><span>colorBarMaximum :</span></dt><dd>10.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>Quality control flags from IOOS QC QARTOD https://github.com/ioos/ioos_qc Version: 2.1.0. Using config: [&lt;Call stream_id=temperature function=qartod.gross_range_test(suspect_span=[0, 30], fail_span=[-2.5, 40])&gt;, &lt;Call stream_id=temperature function=qartod.spike_test(suspect_threshold=2.0, fail_threshold=6.0)&gt;, &lt;Call stream_id=temperature function=qartod.location_test(bbox=[10, 50, 25, 60])&gt;].  Threshold values from EuroGOOS DATA-MEQ Working Group (2010) Recommendations for in-situ data Near Real Time Quality Control [Version 1.2]. EuroGOOS, 23pp. DOI https://dx.doi.org/10.25607/OBP-214.</dd><dt><span>flag_meanings :</span></dt><dd>GOOD, UNKNOWN, SUSPECT, FAIL, MISSING</dd><dt><span>flag_values :</span></dt><dd>[1. 2. 3. 4. 9.]</dd><dt><span>ioos_category :</span></dt><dd>Quality</dd><dt><span>ioos_qc_module :</span></dt><dd>qartod</dd><dt><span>long_name :</span></dt><dd>quality control flags for water temperature</dd><dt><span>quality_control_conventions :</span></dt><dd>IOOS QARTOD standard flags</dd><dt><span>quality_control_set :</span></dt><dd>1.0</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature_flag</dd><dt><span>valid_max :</span></dt><dd>9</dd><dt><span>valid_min :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>turbidity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-278a8d1a-51b8-48ec-8a6f-cbf766f73f6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-278a8d1a-51b8-48ec-8a6f-cbf766f73f6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4465c6f0-86ae-4409-b304-7276c0e488d9' class='xr-var-data-in' type='checkbox'><label for='data-4465c6f0-86ae-4409-b304-7276c0e488d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[0.06  6.342]</dd><dt><span>colorBarMaximum :</span></dt><dd>30.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>instrument :</span></dt><dd>instrument_turbidity_meter</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>turbidity</dd><dt><span>observation_type :</span></dt><dd>calculated</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>sensitivity :</span></dt><dd>0.01</dd><dt><span>source :</span></dt><dd>FLNTU_NTU_SCALED</dd><dt><span>standard_name :</span></dt><dd>turbidity_in_sea_water</dd><dt><span>units :</span></dt><dd>NTU</dd><dt><span>valid_max :</span></dt><dd>25.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>turbidity_raw</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5efe0f72-04bb-4e66-afa4-ada36a480847' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5efe0f72-04bb-4e66-afa4-ada36a480847' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-808d2f44-da88-475c-bc22-5bc508766401' class='xr-var-data-in' type='checkbox'><label for='data-808d2f44-da88-475c-bc22-5bc508766401' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[  59 1106]</dd><dt><span>colorBarMaximum :</span></dt><dd>100.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>instrument :</span></dt><dd>instrument_flourometer</dd><dt><span>ioos_category :</span></dt><dd>Statistics</dd><dt><span>long_name :</span></dt><dd>raw turbidity</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>FLNTU_NTU_COUNT</dd><dt><span>standard_name :</span></dt><dd>raw_turbidity_in_sea_water</dd><dt><span>units :</span></dt><dd>counts</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vertical_distance_to_seafloor</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98a152be-ba49-46b7-a0a4-974b06b0ca0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98a152be-ba49-46b7-a0a4-974b06b0ca0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ef03969-1d9b-4754-8476-60850e138a90' class='xr-var-data-in' type='checkbox'><label for='data-3ef03969-1d9b-4754-8476-60850e138a90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[ 0.09022021 43.99015   ]</dd><dt><span>comment :</span></dt><dd>Distance to the seafloor is calculated from the glider altimeter (see altimeter variable), which is oriented at 20 degrees from the vertical such that it is vertical when the glider is pitched downwards at 20 degrees.</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>vertical distance from glider to seafloor</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>Altitude</dd><dt><span>standard_name :</span></dt><dd>vertical_distance_to_seafloor</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>voltage</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0953e0fe-52e4-4741-9391-4501554f01e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0953e0fe-52e4-4741-9391-4501554f01e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1419b2c2-3381-4b54-a02e-cdefe5670991' class='xr-var-data-in' type='checkbox'><label for='data-1419b2c2-3381-4b54-a02e-cdefe5670991' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[24.16101 25.8    ]</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>glider voltage</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>source :</span></dt><dd>Voltage</dd><dt><span>standard_name :</span></dt><dd>platform_voltage</dd><dt><span>units :</span></dt><dd>V</dd></dl></div><div class='xr-var-data'><pre>[1410 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adcp_correlation</span></div><div class='xr-var-dims'>(time, cell, beam)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f00f1d7-9f5c-4c5b-ae67-213f89951107' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f00f1d7-9f5c-4c5b-ae67-213f89951107' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9067780-4eea-4d3d-9828-11e2c43c582b' class='xr-var-data-in' type='checkbox'><label for='data-f9067780-4eea-4d3d-9828-11e2c43c582b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>colorBarMaximum :</span></dt><dd>100.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>description :</span></dt><dd>Percent (100 = full scale)</dd><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>Adcp Correlation</dd><dt><span>units :</span></dt><dd>percent</dd></dl></div><div class='xr-var-data'><pre>[169200 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adcp_amplitude</span></div><div class='xr-var-dims'>(time, cell, beam)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e20a26e0-9771-412b-8117-785df8f36a7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e20a26e0-9771-412b-8117-785df8f36a7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07074d00-69ef-41c8-b514-e2a5776ac2b7' class='xr-var-data-in' type='checkbox'><label for='data-07074d00-69ef-41c8-b514-e2a5776ac2b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>ioos_category :</span></dt><dd>Unknown</dd><dt><span>long_name :</span></dt><dd>Adcp Amplitude</dd><dt><span>units :</span></dt><dd>dB</dd></dl></div><div class='xr-var-data'><pre>[169200 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adcp_velocity</span></div><div class='xr-var-dims'>(time, cell, beam)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d016ad2d-c586-417b-b36a-bfac87ebd8f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d016ad2d-c586-417b-b36a-bfac87ebd8f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd135595-252b-416d-a006-98c1274942c7' class='xr-var-data-in' type='checkbox'><label for='data-fd135595-252b-416d-a006-98c1274942c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>ioos_category :</span></dt><dd>Currents</dd><dt><span>long_name :</span></dt><dd>Adcp Velocity</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>[169200 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb63077c-f942-4025-bde2-85e453f015ff' class='xr-section-summary-in' type='checkbox'  ><label for='section-eb63077c-f942-4025-bde2-85e453f015ff' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7107816e-5728-4bea-b7c3-60ddc6290c2d' class='xr-index-data-in' type='checkbox'/><label for='index-7107816e-5728-4bea-b7c3-60ddc6290c2d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-01-20 00:54:39.801999872&#x27;,\n",
       "                  &#x27;2022-01-20 00:55:09.824000&#x27;,\n",
       "               &#x27;2022-01-20 00:55:39.839000064&#x27;,\n",
       "                  &#x27;2022-01-20 00:56:09.860000&#x27;,\n",
       "                  &#x27;2022-01-20 00:56:39.888000&#x27;,\n",
       "               &#x27;2022-01-20 00:57:09.905999872&#x27;,\n",
       "                  &#x27;2022-01-20 00:57:39.912000&#x27;,\n",
       "               &#x27;2022-01-20 00:58:09.936999936&#x27;,\n",
       "                  &#x27;2022-01-20 00:58:39.956000&#x27;,\n",
       "                  &#x27;2022-01-20 00:59:09.972000&#x27;,\n",
       "               ...\n",
       "                  &#x27;2022-01-23 07:58:01.772000&#x27;,\n",
       "               &#x27;2022-01-23 07:58:31.855000064&#x27;,\n",
       "               &#x27;2022-01-23 07:59:01.870000128&#x27;,\n",
       "                  &#x27;2022-01-23 07:59:31.908000&#x27;,\n",
       "               &#x27;2022-01-23 08:00:01.952999936&#x27;,\n",
       "                  &#x27;2022-01-23 08:00:31.996000&#x27;,\n",
       "                  &#x27;2022-01-23 08:01:02.052000&#x27;,\n",
       "                  &#x27;2022-01-23 08:01:32.092000&#x27;,\n",
       "                  &#x27;2022-01-23 08:02:02.148000&#x27;,\n",
       "               &#x27;2022-01-23 08:02:32.169999872&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1410, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>cell</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-038ba9c7-7126-477d-9133-66398d3d0284' class='xr-index-data-in' type='checkbox'/><label for='index-038ba9c7-7126-477d-9133-66398d3d0284' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
       "            17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;cell&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>beam</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d9b0062a-8140-4512-8555-4e5a150d9c4a' class='xr-index-data-in' type='checkbox'/><label for='index-d9b0062a-8140-4512-8555-4e5a150d9c4a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;beam&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-be9460f3-d909-466c-80b9-a5f69283ad86' class='xr-section-summary-in' type='checkbox'  ><label for='section-be9460f3-d909-466c-80b9-a5f69283ad86' class='xr-section-summary' >Attributes: <span>(78)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>acknowledgement :</span></dt><dd>This study used data collected and made freely available by Voice of the Ocean Foundation (https://voiceoftheocean.org) accessed from https://erddap.observations.voiceoftheocean.org/erddap/index.html</dd><dt><span>AD2CP :</span></dt><dd>{&#x27;calibration_date&#x27;: &#x27;2021-02-03&#x27;, &#x27;factory_calibrated&#x27;: &#x27;Yes&#x27;, &#x27;long_name&#x27;: &#x27;Nortek Glider1000 AD2CP&#x27;, &#x27;make&#x27;: &#x27;Nortek&#x27;, &#x27;make_model&#x27;: &#x27;Nortek AD2CP&#x27;, &#x27;model&#x27;: &#x27;AD2CP&#x27;, &#x27;serial&#x27;: &#x27;101589&#x27;}</dd><dt><span>altimeter :</span></dt><dd>{&#x27;make&#x27;: &#x27;UNKNOWN&#x27;, &#x27;model&#x27;: &#x27;UNKNOWN&#x27;, &#x27;serial&#x27;: &#x27;25&#x27;}</dd><dt><span>basin :</span></dt><dd>Bornholm Basin</dd><dt><span>cdm_data_type :</span></dt><dd>TimeSeries</dd><dt><span>cdm_timeseries_variables :</span></dt><dd>profile_index</dd><dt><span>comment :</span></dt><dd>deployment and recovery in Bornholm</dd><dt><span>contributor_name :</span></dt><dd>Callum Rollo, Louise Biddle, Olle Petersson, Aleksandra Mazur, Marcus Melin</dd><dt><span>contributor_role :</span></dt><dd>Data Processor, PI, Head of Operations, Glider Technician, Glider Technician</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, COARDS, ACDD-1.3</dd><dt><span>creator_email :</span></dt><dd>callum.rollo@voiceoftheocean.org</dd><dt><span>creator_name :</span></dt><dd>Callum Rollo</dd><dt><span>creator_type :</span></dt><dd>person</dd><dt><span>creator_url :</span></dt><dd>https://observations.voiceoftheocean.org</dd><dt><span>ctd :</span></dt><dd>{&#x27;calibration_date&#x27;: &#x27;2021-03-01&#x27;, &#x27;factory_calibrated&#x27;: &#x27;Yes&#x27;, &#x27;long_name&#x27;: &#x27;RBR legato CTD&#x27;, &#x27;make&#x27;: &#x27;RBR&#x27;, &#x27;make_model&#x27;: &#x27;RBR legato CTD&#x27;, &#x27;model&#x27;: &#x27;legato&#x27;, &#x27;serial&#x27;: &#x27;206523&#x27;}</dd><dt><span>dataset_id :</span></dt><dd>nrt_SEA063_M33</dd><dt><span>date_created :</span></dt><dd>2023-02-21T13:24:32Z</dd><dt><span>date_issued :</span></dt><dd>2023-02-21T13:24:32Z</dd><dt><span>deployment_end :</span></dt><dd>2022-01-23T08:02:32.170000000</dd><dt><span>deployment_id :</span></dt><dd>33</dd><dt><span>deployment_name :</span></dt><dd>SAMBA</dd><dt><span>deployment_start :</span></dt><dd>2022-01-04T15:19:36.557000000</dd><dt><span>disclaimer :</span></dt><dd>Data, products and services from VOTO are provided &#x27;as is&#x27; without any warranty as to fitness for a particular purpose.</dd><dt><span>Easternmost_Easting :</span></dt><dd>16.323933333333333</dd><dt><span>featureType :</span></dt><dd>TimeSeries</dd><dt><span>format_version :</span></dt><dd>IOOS_Glider_NetCDF_v2.0.nc</dd><dt><span>geospatial_lat_max :</span></dt><dd>55.54708333333333</dd><dt><span>geospatial_lat_min :</span></dt><dd>55.29526666666667</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>16.323933333333333</dd><dt><span>geospatial_lon_min :</span></dt><dd>16.041083333333333</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>79.80132037394564</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.08135667667498238</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>down</dd><dt><span>geospatial_vertical_units :</span></dt><dd>m</dd><dt><span>glider_instrument_name :</span></dt><dd>seaexplorer</dd><dt><span>glider_model :</span></dt><dd>SeaExplorer</dd><dt><span>glider_name :</span></dt><dd>Ljung</dd><dt><span>glider_serial :</span></dt><dd>63</dd><dt><span>history :</span></dt><dd>CPROOF glider toolbox version: pre-tag\n",
       "2023-02-24T10:02:50Z (local files)\n",
       "2023-02-24T10:02:50Z https://erddap.observations.voiceoftheocean.org/erddap/tabledap/nrt_SEA063_M33.ncCF?&amp;time%3E=1642636800.0</dd><dt><span>id :</span></dt><dd>Ljung63-20220104T1519</dd><dt><span>infoUrl :</span></dt><dd>https://cfconventions.org/cf-conventions/v1.6.0/cf-conventions.html</dd><dt><span>institution :</span></dt><dd>Voice of the Ocean Foundation</dd><dt><span>keywords :</span></dt><dd>20220104t1519, ad2cp, ad2cp_beam1_cell_number1, ad2cp_beam2_cell_number1, ad2cp_beam3_cell_number1, ad2cp_beam4_cell_number1, ad2cp_heading, ad2cp_pitch, ad2cp_pressure, ad2cp_roll, ad2cp_time, altimeter, angle, angular, angular_cmd, angular_command, angular_pos, angular_position, autonomous underwater vehicles, auvs, ballast, ballast_cmd, ballast_command, ballast_pos, ballast_position, beam, beam1, cell, cell1, chemistry, chlorophyll, chlorophyll_qc, chlorophyll_raw, color, command, concentration, concentration_of_chlorophyll_in_sea_water, concentration_of_chlorophyll_in_sea_water_flag, conductivity, conductivity_qc, control, currents, data, declination, density, density_qc, depth, desired, desired_heading, direction, dissolved, dissolved o2, distance, distance_over_ground, dive, dive_num, dive_number, earth, Earth Science &gt; Oceans &gt; Ocean Chemistry &gt; Chlorophyll, Earth Science &gt; Oceans &gt; Ocean Chemistry &gt; Oxygen, Earth Science &gt; Oceans &gt; Ocean Pressure &gt; Water Pressure, Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Potential Temperature, Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Water Temperature, Earth Science &gt; Oceans &gt; Salinity/Density &gt; Conductivity, Earth Science &gt; Oceans &gt; Salinity/Density &gt; Density, Earth Science &gt; Oceans &gt; Salinity/Density &gt; Potential Density, Earth Science &gt; Oceans &gt; Salinity/Density &gt; Salinity, electrical, filename, flag, flags, flown, foundation, glider, glider_altimeter_reading, ground, heading, index, internal, internal_pressure, internal_temperature, latitude, level, linear, linear_cmd, linear_command, linear_pos, linear_position, ljung63, ljung63-20220104t1519, longitude, measure, mission, mole, mole_concentration_of_dissolved_molecular_oxygen_in_sea_water, mole_concentration_of_dissolved_molecular_oxygen_in_sea_water_flag, molecular, nav_state, navigation, navigation_state, number, O2, ocean, ocean color, ocean pressure, ocean temperature, oceanography, oceans, orientation, original, over, oxygen, oxygen_concentration, oxygen_concentration_qc, physical, physical oceanography, pitch, platform, platform_beam1_measure_ad2cp_cell1, platform_desired_orientation, platform_orientation, platform_orientation_ad2cp, platform_pitch_angle, platform_pitch_angle_ad2cp, platform_pressure_ad2cp, platform_roll_angle, platform_roll_angle_ad2cp, platform_voltage, position, potential, potential_density, potential_density_qc, potential_temperature, potential_temperature_qc, practical, pressure, profile, profile_direction, profile_index, profile_num, quality, raw, raw_chlorophyll_in_sea_water, raw_turbidity_in_sea_water, reading, recorded, roll, salinity, salinity/density, salinity_qc, science, sea, sea_water_density, sea_water_density_flag, sea_water_electrical_conductivity, sea_water_electrical_conductivity_flag, sea_water_potential_density, sea_water_potential_density_flag, sea_water_potential_temperature, sea_water_potential_temperature_flag, sea_water_practical_salinity, sea_water_practical_salinity_flag, sea_water_pressure, sea_water_temperature, sea_water_temperature_flag, seaexplorer, seafloor, seawater, security, security_level, sensor, since, start, state, statistics, temperature, temperature_of_sensor_for_oxygen_in_sea_water, temperature_oxygen, temperature_qc, time, turbidity, turbidity_in_sea_water, turbidity_raw, vertical, vertical_distance_to_seafloor, voice, voltage, water, water pressure, water temperature</dd><dt><span>keywords_vocabulary :</span></dt><dd>GCMD Science Keywords</dd><dt><span>license :</span></dt><dd>Creative Commons Attribution 4.0 (https://creativecommons.org/licenses/by/4.0/) This study used data collected and made freely available by Voice of the Ocean Foundation (https://voiceoftheocean.org) accessed from https://erddap.observations.voiceoftheocean.org/erddap/index.html</dd><dt><span>metadata_link :</span></dt><dd>https://cfconventions.org/cf-conventions/v1.6.0/cf-conventions.html</dd><dt><span>naming_authority :</span></dt><dd>Voice of the Ocean Foundation</dd><dt><span>netcdf_version :</span></dt><dd>4.0</dd><dt><span>Northernmost_Northing :</span></dt><dd>55.54708333333333</dd><dt><span>optics :</span></dt><dd>{&#x27;calibration_date&#x27;: &#x27;2021-02-01&#x27;, &#x27;calibration_parameters&#x27;: {&#x27;Chl_DarkCounts&#x27;: 48, &#x27;Chl_SF&#x27;: 0.0121, &#x27;NTU_DarkCounts&#x27;: 49, &#x27;NTU_SF&#x27;: 0.006}, &#x27;factory_calibrated&#x27;: &#x27;Yes&#x27;, &#x27;long_name&#x27;: &#x27;Wetlabs ECO Puck FLNTU&#x27;, &#x27;make&#x27;: &#x27;Wetlabs&#x27;, &#x27;make_model&#x27;: &#x27;Wetlabs FLNTU&#x27;, &#x27;model&#x27;: &#x27;FLNTU&#x27;, &#x27;serial&#x27;: &#x27;6661&#x27;}</dd><dt><span>oxygen :</span></dt><dd>{&#x27;calibration_date&#x27;: &#x27;2021-01-20&#x27;, &#x27;factory_calibrated&#x27;: &#x27;Yes&#x27;, &#x27;long_name&#x27;: &#x27;JFE Advantech RINKO-FT&#x27;, &#x27;make&#x27;: &#x27;JFE Advantech&#x27;, &#x27;make_model&#x27;: &#x27;JFE Advantech AROD_FT&#x27;, &#x27;model&#x27;: &#x27;AROD-FT&#x27;, &#x27;serial&#x27;: &#x27;0044&#x27;}</dd><dt><span>platform :</span></dt><dd>SeaExplorer Glider</dd><dt><span>processing_level :</span></dt><dd>L1. Quality control flags from IOOS QC QARTOD https://github.com/ioos/ioos_qc Version: 2.1.0</dd><dt><span>project :</span></dt><dd>SAMBA</dd><dt><span>project_url :</span></dt><dd>https://voiceoftheocean.org/samba-smart-autonomous-monitoring-of-the-baltic-sea/</dd><dt><span>publisher_email :</span></dt><dd>callum.rollo@voiceoftheocean.org</dd><dt><span>publisher_name :</span></dt><dd>Callum Rollo</dd><dt><span>publisher_type :</span></dt><dd>person</dd><dt><span>publisher_url :</span></dt><dd>https://voiceoftheocean.org</dd><dt><span>references :</span></dt><dd>created with pyglider https://github.com/c-proof/pyglider</dd><dt><span>sea_name :</span></dt><dd>Baltic</dd><dt><span>source :</span></dt><dd>Observational data from a profiling glider.</dd><dt><span>sourceUrl :</span></dt><dd>(local files)</dd><dt><span>Southernmost_Northing :</span></dt><dd>55.29526666666667</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v70</dd><dt><span>subsetVariables :</span></dt><dd>profile_index</dd><dt><span>summary :</span></dt><dd>Part of SAMBA continuous monitoring</dd><dt><span>time_coverage_end :</span></dt><dd>2022-01-23T08:02:32Z</dd><dt><span>time_coverage_start :</span></dt><dd>2022-01-20T00:54:39Z</dd><dt><span>title :</span></dt><dd>Ljung63-20220104T1519</dd><dt><span>total_dives :</span></dt><dd>132.0</dd><dt><span>transmission_system :</span></dt><dd>IRIDIUM</dd><dt><span>variables :</span></dt><dd>time\n",
       "latitude\n",
       "longitude\n",
       "nav_state\n",
       "heading\n",
       "pitch\n",
       "roll\n",
       "dive_num\n",
       "security_level\n",
       "declination\n",
       "internal_temperature\n",
       "internal_pressure\n",
       "desired_heading\n",
       "ballast_cmd\n",
       "ballast_pos\n",
       "linear_cmd\n",
       "linear_pos\n",
       "angular_cmd\n",
       "angular_pos\n",
       "voltage\n",
       "altimeter\n",
       "conductivity\n",
       "temperature\n",
       "pressure\n",
       "salinity\n",
       "chlorophyll\n",
       "chlorophyll_raw\n",
       "turbidity\n",
       "turbidity_raw\n",
       "oxygen_concentration\n",
       "temperature_oxygen\n",
       "ad2cp_heading\n",
       "ad2cp_pitch\n",
       "ad2cp_roll\n",
       "ad2cp_pressure\n",
       "ad2cp_time\n",
       "ad2cp_beam1_cell_number1\n",
       "ad2cp_beam2_cell_number1\n",
       "ad2cp_beam3_cell_number1\n",
       "ad2cp_beam4_cell_number1</dd><dt><span>Westernmost_Easting :</span></dt><dd>16.041083333333333</dd><dt><span>wmo_id :</span></dt><dd>6801707</dd><dt><span>adcp_attributes :</span></dt><dd>{&#x27;alternateEnable&#x27;: 0, &#x27;alternateEnable_description&#x27;: &#x27;Enable / disable the alternate configuration&#x27;, &#x27;analogBoard&#x27;: &#x27;G-1&#x27;, &#x27;analogBoard2_description&#x27;: &#x27;Analog board 2 version&#x27;, &#x27;analogBoard_description&#x27;: &#x27;Analog board version&#x27;, &#x27;avg_activeBeams&#x27;: 4, &#x27;avg_activeBeams_description&#x27;: &#x27;Actual number of beams used for average mode&#x27;, &#x27;avg_altiEnd&#x27;: 30.0, &#x27;avg_altiEnd_description&#x27;: &#x27;Average mode end range for altitude measurement&#x27;, &#x27;avg_altimeter&#x27;: 0, &#x27;avg_altimeter_description&#x27;: &#x27;Enable (1) / disable (0) altimeter output&#x27;, &#x27;avg_altiStart&#x27;: 0.1, &#x27;avg_altiStart_description&#x27;: &#x27;Average mode start range for altitude measurement&#x27;, &#x27;avg_averagingInterval&#x27;: 1, &#x27;avg_averagingInterval_description&#x27;: &#x27;Average mode averaging interval (s)&#x27;, &#x27;avg_bandwidth&#x27;: &#x27;BROAD&#x27;, &#x27;avg_bandwidth_description&#x27;: &#x27;Average mode bandwidth (NARROW or BROAD)&#x27;, &#x27;avg_beam2xyz&#x27;: array([ 0.6782,  0.    , -0.6782,  0.    ,  0.    , -1.1831,  0.    ,\n",
       "        1.1831,  0.74  ,  0.    ,  0.74  ,  0.    ,  0.    ,  0.5518,\n",
       "        0.    ,  0.5518], dtype=float32), &#x27;avg_beam2xyz_columns&#x27;: 4, &#x27;avg_beam2xyz_columns_description&#x27;: &#x27;Average XYZ co-ordinate transfer matrix number of columns&#x27;, &#x27;avg_beam2xyz_description&#x27;: &#x27;Average XYZ co-ordinate transfer matrix&#x27;, &#x27;avg_beam2xyz_rows&#x27;: 4, &#x27;avg_beam2xyz_rows_description&#x27;: &#x27;Average XYZ co-ordinate transfer matrix number of rows&#x27;, &#x27;avg_blankingDistance&#x27;: 0.2, &#x27;avg_blankingDistance_description&#x27;: &#x27;Average mode distance to first cell (m)&#x27;, &#x27;avg_bottomTrack&#x27;: 1, &#x27;avg_bottomTrack_description&#x27;: &#x27;Enable (1) / disable (0) CP bottom tracking&#x27;, &#x27;avg_cellSize&#x27;: 1.0, &#x27;avg_cellSize_description&#x27;: &#x27;Average mode cell Size (m)&#x27;, &#x27;avg_channelMapping&#x27;: 0, &#x27;avg_channelMapping_description&#x27;: &#x27;Which beams are enabled in average mode (e.g. 1234 = beam 1 - 2 - 3 - 4)&#x27;, &#x27;avg_coordSystem&#x27;: &#x27;BEAM&#x27;, &#x27;avg_coordSystem_description&#x27;: &#x27;Average mode coordinate system&#x27;, &#x27;avg_enable&#x27;: 1, &#x27;avg_enable_description&#x27;: &#x27;Average mode enabled (1) or disabled (0)&#x27;, &#x27;avg_format&#x27;: 3, &#x27;avg_format_description&#x27;: &#x27;Average mode data record format&#x27;, &#x27;avg_ice&#x27;: 0, &#x27;avg_ice_description&#x27;: &#x27;Average mode enable (1) / disable (0) ice velocity measurements&#x27;, &#x27;avg_measurementInterval&#x27;: 10, &#x27;avg_measurementInterval_description&#x27;: &#x27;Average mode measurement interval (s)&#x27;, &#x27;avg_memoryUsage&#x27;: 0.238, &#x27;avg_memoryUsage_description&#x27;: &#x27;Average mode memory usage rate (MB/hr)&#x27;, &#x27;avg_mux&#x27;: 0, &#x27;avg_mux_description&#x27;: &#x27;Average mode multiplexor enable (0/1)&#x27;, &#x27;avg_nBeams&#x27;: 4, &#x27;avg_nBeams_description&#x27;: &#x27;Number of configured beams for average mode (0 = PLAN,VD based)&#x27;, &#x27;avg_nCells&#x27;: 30, &#x27;avg_nCells_description&#x27;: &#x27;Number of cells in the average mode profile&#x27;, &#x27;avg_nPings&#x27;: 4, &#x27;avg_nPings_description&#x27;: &#x27;Average mode number of pings per ensemble&#x27;, &#x27;avg_powerUsage&#x27;: 340.21, &#x27;avg_powerUsage_description&#x27;: &#x27;Power consumption for the current average mode settings (mW)&#x27;, &#x27;avg_rawAlti&#x27;: 0, &#x27;avg_rawAlti_description&#x27;: &#x27;Include/exclude raw altimeter data&#x27;, &#x27;avg_rawAltiSpacing&#x27;: 0, &#x27;avg_rawAltiSpacing_description&#x27;: &quot;Add raw altimeter every &#x27;N&#x27; avg measurement intervals&quot;, &#x27;avg_transmitPower&#x27;: 0.0, &#x27;avg_transmitPower_description&#x27;: &#x27;Average mode transmit power level (-100 to 0) (dB)&#x27;, &#x27;avg_velocityPrecision&#x27;: 0.0, &#x27;avg_velocityPrecision_description&#x27;: &#x27;Average mode velocity precision&#x27;, &#x27;avg_velocityRange&#x27;: 2.5, &#x27;avg_velocityRange_description&#x27;: &#x27;Average mode velocity range along beam (m/s)&#x27;, &#x27;avgAltimeter_enable&#x27;: 0, &#x27;avgRawAltimeter_enable&#x27;: 0, &#x27;avgRawAltimeter_enable_description&#x27;: &#x27;Enable avg raw enable data&#x27;, &#x27;beamConfiguration1_bandwidth&#x27;: 25.0, &#x27;beamConfiguration1_bandwidth_description&#x27;: &#x27;Bandwidth (kHz)&#x27;, &#x27;beamConfiguration1_beam&#x27;: 1, &#x27;beamConfiguration1_beam_description&#x27;: &#x27;Beam number&#x27;, &#x27;beamConfiguration1_board&#x27;: 1, &#x27;beamConfiguration1_frequency&#x27;: 1000.0, &#x27;beamConfiguration1_frequency_description&#x27;: &#x27;Center Frequency (kHz)&#x27;, &#x27;beamConfiguration1_hwbeam&#x27;: 1, &#x27;beamConfiguration1_phi&#x27;: 0.0, &#x27;beamConfiguration1_phi_description&#x27;: &#x27;Phi angle (degrees)&#x27;, &#x27;beamConfiguration1_theta&#x27;: 47.5, &#x27;beamConfiguration1_theta_description&#x27;: &#x27;Theta angle (degrees)&#x27;, &#x27;beamConfiguration1_znominal&#x27;: 60.0, &#x27;beamConfiguration1_znominal_description&#x27;: &#x27;Nominal transducer impedance (ohms)&#x27;, &#x27;beamConfiguration2_bandwidth&#x27;: 25.0, &#x27;beamConfiguration2_bandwidth_description&#x27;: &#x27;Bandwidth (kHz)&#x27;, &#x27;beamConfiguration2_beam&#x27;: 2, &#x27;beamConfiguration2_beam_description&#x27;: &#x27;Beam number&#x27;, &#x27;beamConfiguration2_board&#x27;: 1, &#x27;beamConfiguration2_frequency&#x27;: 1000.0, &#x27;beamConfiguration2_frequency_description&#x27;: &#x27;Center Frequency (kHz)&#x27;, &#x27;beamConfiguration2_hwbeam&#x27;: 2, &#x27;beamConfiguration2_phi&#x27;: -90.0, &#x27;beamConfiguration2_phi_description&#x27;: &#x27;Phi angle (degrees)&#x27;, &#x27;beamConfiguration2_theta&#x27;: 25.0, &#x27;beamConfiguration2_theta_description&#x27;: &#x27;Theta angle (degrees)&#x27;, &#x27;beamConfiguration2_znominal&#x27;: 60.0, &#x27;beamConfiguration2_znominal_description&#x27;: &#x27;Nominal transducer impedance (ohms)&#x27;, &#x27;beamConfiguration3_bandwidth&#x27;: 25.0, &#x27;beamConfiguration3_bandwidth_description&#x27;: &#x27;Bandwidth (kHz)&#x27;, &#x27;beamConfiguration3_beam&#x27;: 3, &#x27;beamConfiguration3_beam_description&#x27;: &#x27;Beam number&#x27;, &#x27;beamConfiguration3_board&#x27;: 1, &#x27;beamConfiguration3_frequency&#x27;: 1000.0, &#x27;beamConfiguration3_frequency_description&#x27;: &#x27;Center Frequency (kHz)&#x27;, &#x27;beamConfiguration3_hwbeam&#x27;: 3, &#x27;beamConfiguration3_phi&#x27;: 180.0, &#x27;beamConfiguration3_phi_description&#x27;: &#x27;Phi angle (degrees)&#x27;, &#x27;beamConfiguration3_theta&#x27;: 47.5, &#x27;beamConfiguration3_theta_description&#x27;: &#x27;Theta angle (degrees)&#x27;, &#x27;beamConfiguration3_znominal&#x27;: 60.0, &#x27;beamConfiguration3_znominal_description&#x27;: &#x27;Nominal transducer impedance (ohms)&#x27;, &#x27;beamConfiguration4_bandwidth&#x27;: 25.0, &#x27;beamConfiguration4_bandwidth_description&#x27;: &#x27;Bandwidth (kHz)&#x27;, &#x27;beamConfiguration4_beam&#x27;: 4, &#x27;beamConfiguration4_beam_description&#x27;: &#x27;Beam number&#x27;, &#x27;beamConfiguration4_board&#x27;: 1, &#x27;beamConfiguration4_frequency&#x27;: 1000.0, &#x27;beamConfiguration4_frequency_description&#x27;: &#x27;Center Frequency (kHz)&#x27;, &#x27;beamConfiguration4_hwbeam&#x27;: 4, &#x27;beamConfiguration4_phi&#x27;: 90.0, &#x27;beamConfiguration4_phi_description&#x27;: &#x27;Phi angle (degrees)&#x27;, &#x27;beamConfiguration4_theta&#x27;: 25.0, &#x27;beamConfiguration4_theta_description&#x27;: &#x27;Theta angle (degrees)&#x27;, &#x27;beamConfiguration4_znominal&#x27;: 60.0, &#x27;beamConfiguration4_znominal_description&#x27;: &#x27;Nominal transducer impedance (ohms)&#x27;, &#x27;beamImplementation1_beam&#x27;: 1, &#x27;beamImplementation1_beam_description&#x27;: &#x27;Beam number&#x27;, &#x27;beamImplementation1_P0&#x27;: 100.0, &#x27;beamImplementation1_P0_description&#x27;: &#x27;Polynomial coefficient 0&#x27;, &#x27;beamImplementation1_P1&#x27;: 0.0, &#x27;beamImplementation1_P1_description&#x27;: &#x27;Polynomial coefficient 1&#x27;, &#x27;beamImplementation1_P2&#x27;: 0.0, &#x27;beamImplementation1_P2_description&#x27;: &#x27;Polynomial coefficient 2&#x27;, &#x27;beamImplementation1_P3&#x27;: 0.0, &#x27;beamImplementation1_P3_description&#x27;: &#x27;Polynomial coefficient 3&#x27;, &#x27;beamImplementation1_P4&#x27;: 0.0, &#x27;beamImplementation1_P4_description&#x27;: &#x27;Polynomial coefficient 4&#x27;, &#x27;beamImplementation1_temperature&#x27;: 0.0, &#x27;beamImplementation1_temperature_description&#x27;: &#x27;Temperature (Celsius)&#x27;, &#x27;beamImplementation2_beam&#x27;: 2, &#x27;beamImplementation2_beam_description&#x27;: &#x27;Beam number&#x27;, &#x27;beamImplementation2_P0&#x27;: 100.0, &#x27;beamImplementation2_P0_description&#x27;: &#x27;Polynomial coefficient 0&#x27;, &#x27;beamImplementation2_P1&#x27;: 0.0, &#x27;beamImplementation2_P1_description&#x27;: &#x27;Polynomial coefficient 1&#x27;, &#x27;beamImplementation2_P2&#x27;: 0.0, &#x27;beamImplementation2_P2_description&#x27;: &#x27;Polynomial coefficient 2&#x27;, &#x27;beamImplementation2_P3&#x27;: 0.0, &#x27;beamImplementation2_P3_description&#x27;: &#x27;Polynomial coefficient 3&#x27;, &#x27;beamImplementation2_P4&#x27;: 0.0, &#x27;beamImplementation2_P4_description&#x27;: &#x27;Polynomial coefficient 4&#x27;, &#x27;beamImplementation2_temperature&#x27;: 0.0, &#x27;beamImplementation2_temperature_description&#x27;: &#x27;Temperature (Celsius)&#x27;, &#x27;beamImplementation3_beam&#x27;: 3, &#x27;beamImplementation3_beam_description&#x27;: &#x27;Beam number&#x27;, &#x27;beamImplementation3_P0&#x27;: 100.0, &#x27;beamImplementation3_P0_description&#x27;: &#x27;Polynomial coefficient 0&#x27;, &#x27;beamImplementation3_P1&#x27;: 0.0, &#x27;beamImplementation3_P1_description&#x27;: &#x27;Polynomial coefficient 1&#x27;, &#x27;beamImplementation3_P2&#x27;: 0.0, &#x27;beamImplementation3_P2_description&#x27;: &#x27;Polynomial coefficient 2&#x27;, &#x27;beamImplementation3_P3&#x27;: 0.0, &#x27;beamImplementation3_P3_description&#x27;: &#x27;Polynomial coefficient 3&#x27;, &#x27;beamImplementation3_P4&#x27;: 0.0, &#x27;beamImplementation3_P4_description&#x27;: &#x27;Polynomial coefficient 4&#x27;, &#x27;beamImplementation3_temperature&#x27;: 0.0, &#x27;beamImplementation3_temperature_description&#x27;: &#x27;Temperature (Celsius)&#x27;, &#x27;beamImplementation4_beam&#x27;: 4, &#x27;beamImplementation4_beam_description&#x27;: &#x27;Beam number&#x27;, &#x27;beamImplementation4_P0&#x27;: 100.0, &#x27;beamImplementation4_P0_description&#x27;: &#x27;Polynomial coefficient 0&#x27;, &#x27;beamImplementation4_P1&#x27;: 0.0, &#x27;beamImplementation4_P1_description&#x27;: &#x27;Polynomial coefficient 1&#x27;, &#x27;beamImplementation4_P2&#x27;: 0.0, &#x27;beamImplementation4_P2_description&#x27;: &#x27;Polynomial coefficient 2&#x27;, &#x27;beamImplementation4_P3&#x27;: 0.0, &#x27;beamImplementation4_P3_description&#x27;: &#x27;Polynomial coefficient 3&#x27;, &#x27;beamImplementation4_P4&#x27;: 0.0, &#x27;beamImplementation4_P4_description&#x27;: &#x27;Polynomial coefficient 4&#x27;, &#x27;beamImplementation4_temperature&#x27;: 0.0, &#x27;beamImplementation4_temperature_description&#x27;: &#x27;Temperature (Celsius)&#x27;, &#x27;Blanking&#x27;: 0.20000000949949026, &#x27;bootloader&#x27;: &#x27;23&#x27;, &#x27;bootloader_description&#x27;: &#x27;Doppler bootloader version&#x27;, &#x27;bt_activeBeams&#x27;: 4, &#x27;bt_activeBeams_description&#x27;: &#x27;Actual number of beams used for bottom track&#x27;, &#x27;bt_beam2xyz&#x27;: array([ 0.6782,  0.    , -0.6782,  0.    ,  0.    , -1.1831,  0.    ,\n",
       "        1.1831,  0.74  ,  0.    ,  0.74  ,  0.    ,  0.    ,  0.5518,\n",
       "        0.    ,  0.5518], dtype=float32), &#x27;bt_beam2xyz_columns&#x27;: 4, &#x27;bt_beam2xyz_columns_description&#x27;: &#x27;Bottom track XYZ co-ordinate transfer matrix number of columns&#x27;, &#x27;bt_beam2xyz_description&#x27;: &#x27;Bottom track XYZ co-ordinate transfer matrix&#x27;, &#x27;bt_beam2xyz_rows&#x27;: 4, &#x27;bt_beam2xyz_rows_description&#x27;: &#x27;Bottom track XYZ co-ordinate transfer matrix number of rows&#x27;, &#x27;bt_blankingDistance&#x27;: 0.1, &#x27;bt_blankingDistance_description&#x27;: &#x27;Bottom track distance to first cell (m)&#x27;, &#x27;bt_cellSize&#x27;: 0.05625, &#x27;bt_cellSize_description&#x27;: &#x27;Bottom track cell size (m)&#x27;, &#x27;bt_channelMapping&#x27;: 0, &#x27;bt_channelMapping_description&#x27;: &#x27;Bottom track channel mapping&#x27;, &#x27;bt_format&#x27;: 20, &#x27;bt_format_description&#x27;: &#x27;Bottom track data record format&#x27;, &#x27;bt_hwEnabled&#x27;: 0, &#x27;bt_hwEnabled_description&#x27;: &#x27;Bottom track HW mode enabled&#x27;, &#x27;bt_nBeams&#x27;: 4, &#x27;bt_nBeams_description&#x27;: &#x27;Number of configured beams for bottom track&#x27;, &#x27;bt_nCells&#x27;: 596, &#x27;bt_nCells_description&#x27;: &#x27;Number of cells used by bottom track,&#x27;, &#x27;bt_range&#x27;: 30.0, &#x27;bt_range_description&#x27;: &#x27;Bottom track measuring distance (m)&#x27;, &#x27;bt_rangeEnd&#x27;: 0.0, &#x27;bt_rangeEnd_description&#x27;: &#x27;Bottom track threshold end range (m)&#x27;, &#x27;bt_rangeStart&#x27;: 0.0, &#x27;bt_rangeStart_description&#x27;: &#x27;Bottom track threshold start range (m)&#x27;, &#x27;bt_threshHigh&#x27;: 0.0, &#x27;bt_threshHigh_description&#x27;: &#x27;Bottom track high thresholding value&#x27;, &#x27;bt_threshLow&#x27;: 0.0, &#x27;bt_threshLow_description&#x27;: &#x27;Bottom track low thresholding value&#x27;, &#x27;bt_transmitPower&#x27;: 0.0, &#x27;bt_transmitPower_description&#x27;: &#x27;Bottom track transmit power level (-100 to 0) (dB)&#x27;, &#x27;bt_velocityRange&#x27;: 5.0, &#x27;bt_velocityRange_description&#x27;: &#x27;Bottom track velocity range (m/s)&#x27;, &#x27;burst_enable&#x27;: 0, &#x27;burst_enable_description&#x27;: &#x27;Burst mode enabled (1) or disabled (0)&#x27;, &#x27;burstAltimeter_enable&#x27;: 0, &#x27;bursthr_enable&#x27;: 0, &#x27;bursthr_enable5&#x27;: 0, &#x27;bursthr_enable5_description&#x27;: &#x27;Enable high resolution mode on beam 5&#x27;, &#x27;bursthr_enable_description&#x27;: &#x27;Enable HR mode for burst data&#x27;, &#x27;burstRawAltimeter_enable&#x27;: 0, &#x27;burstRawAltimeter_enable_description&#x27;: &#x27;Enable burst raw enable data&#x27;, &#x27;CellSize&#x27;: 1.0, &#x27;compass&#x27;: 1, &#x27;compass_calibrationMatrix&#x27;: array([31993,   585,  -435,   739, 32767,  -616,  1079,  -181, 31955],\n",
       "      dtype=int16), &#x27;compass_calibrationMatrix_description&#x27;: &#x27;Compass calibration matrix&#x27;, &#x27;compass_calibrationOffset&#x27;: array([-21, 119,  33], dtype=int16), &#x27;compass_calibrationOffset_description&#x27;: &#x27;Compass calibration offsets&#x27;, &#x27;compass_description&#x27;: &#x27;Compass installed&#x27;, &#x27;date&#x27;: &#x27;2023-01-24 13:13:49.283 CET&#x27;, &#x27;date_description&#x27;: &#x27;Date of collection&#x27;, &#x27;digitalBoard&#x27;: &#x27;I-3&#x27;, &#x27;digitalBoard_description&#x27;: &#x27;Digital board version&#x27;, &#x27;droppedSets&#x27;: 0.0, &#x27;droppedSets_description&#x27;: &#x27;Number of data records dropped due to read errors&#x27;, &#x27;echo_enable&#x27;: 0, &#x27;echo_enable_description&#x27;: &#x27;Enable echo sounder (1/0)&#x27;, &#x27;enableNTP&#x27;: 0, &#x27;enablePTP&#x27;: 0, &#x27;endCollectionTime_seconds&#x27;: 1643031110, &#x27;endCollectionTime_seconds_description&#x27;: &#x27;Seconds since Jan 1, 1970 00:00:00 UTC (s)&#x27;, &#x27;endCollectionTime_subseconds&#x27;: 0.5589, &#x27;endCollectionTime_subseconds_description&#x27;: &#x27;Fractional seconds (s)&#x27;, &#x27;EnsembleCount&#x27;: 1.0, &#x27;Error&#x27;: 0.0, &#x27;exportRevision&#x27;: &#x27;4489&#x27;, &#x27;ExtendedStatus&#x27;: 32768.0, &#x27;file_directory_description&#x27;: &#x27;Data file directory&#x27;, &#x27;file_endAction&#x27;: 0, &#x27;file_endAction_description&#x27;: &#x27;On completion, stop recording (0), create new file(1), close file(2), create new file with instrument restart(4)&#x27;, &#x27;file_endCondition&#x27;: 0, &#x27;file_endCondition_description&#x27;: &#x27;File closed manually (0) or based on time(1), size(2) or number of records(4)&#x27;, &#x27;file_endSets&#x27;: 0.0, &#x27;file_endSets_description&#x27;: &#x27;Number of records to collect&#x27;, &#x27;file_endSize&#x27;: 0.0, &#x27;file_endSize_description&#x27;: &#x27;Size of data file to collect (KB)&#x27;, &#x27;file_endTime&#x27;: 0.0, &#x27;file_endTime_description&#x27;: &#x27;Length of time that collection should run for (s)&#x27;, &#x27;File_file_endAction&#x27;: 0, &#x27;File_file_endAction_description&#x27;: &#x27;On completion, stop recording (0), create new file(1), close file(2), create new file with instrument restart(4)&#x27;, &#x27;File_file_endCondition&#x27;: 0, &#x27;File_file_endCondition_description&#x27;: &#x27;File closed manually (0) or based on time(1), size(2) or number of records(4)&#x27;, &#x27;File_file_endSets&#x27;: 0.0, &#x27;File_file_endSets_description&#x27;: &#x27;Number of records to collect&#x27;, &#x27;File_file_endSize&#x27;: 0.0, &#x27;File_file_endSize_description&#x27;: &#x27;Size of data file to collect (KB)&#x27;, &#x27;File_file_endTime&#x27;: 0.0, &#x27;File_file_endTime_description&#x27;: &#x27;Length of time that collection should run for (s)&#x27;, &#x27;File_file_filenum&#x27;: 0, &#x27;File_file_filenum_description&#x27;: &#x27;File extension number&#x27;, &#x27;File_file_prefix&#x27;: &#x27;sea63_m33.ad2cp&#x27;, &#x27;File_file_prefix_description&#x27;: &#x27;Data file prefix&#x27;, &#x27;file_filenum&#x27;: 0, &#x27;file_filenum_description&#x27;: &#x27;File extension number&#x27;, &#x27;File_ins_name&#x27;: &#x27;AD2CPRaw&#x27;, &#x27;File_ins_name_description&#x27;: &#x27;Name of instrument&#x27;, &#x27;File_ins_runTime&#x27;: 1721481120.0, &#x27;File_ins_runTime_description&#x27;: &#x27;Length of time data was collected (ms)&#x27;, &#x27;File_ins_typeName_description&#x27;: &#x27;Type of instrument&#x27;, &#x27;file_prefix&#x27;: &#x27;AD2CPData&#x27;, &#x27;file_prefix_description&#x27;: &#x27;Data file prefix&#x27;, &#x27;fpgaVersionDoppler&#x27;: 169, &#x27;fpgaVersionDoppler_description&#x27;: &#x27;Doppler FPGA version&#x27;, &#x27;fwMinorVersionDoppler&#x27;: 2, &#x27;fwMinorVersionDoppler_description&#x27;: &#x27;Doppler firmware minor version&#x27;, &#x27;fwVersionDoppler&#x27;: 3053, &#x27;fwVersionDoppler_description&#x27;: &#x27;Doppler firmware version&#x27;, &#x27;headFrequency&#x27;: 1000, &#x27;headFrequency_description&#x27;: &#x27;Head Frequency (kHz)&#x27;, &#x27;ifaceBoard&#x27;: &#x27;H-4&#x27;, &#x27;ifaceBoard_description&#x27;: &#x27;Interface board version&#x27;, &#x27;ins_name&#x27;: &#x27;AD2CP&#x27;, &#x27;ins_name_description&#x27;: &#x27;Name of instrument&#x27;, &#x27;ins_runTime&#x27;: 0.0, &#x27;ins_runTime_description&#x27;: &#x27;Length of time data was collected (ms)&#x27;, &#x27;ins_typeName&#x27;: &#x27;AD2CP&#x27;, &#x27;ins_typeName_description&#x27;: &#x27;Type of instrument&#x27;, &#x27;instrumentName&#x27;: &#x27;Glider&#x27;, &#x27;instrumentOffsetTime&#x27;: 0.0, &#x27;instrumentOffsetTime_description&#x27;: &#x27;Offset from instrument time to platform time for MIDAS collected data (s)&#x27;, &#x27;instrumentOffsetTimeMatlab&#x27;: 0.0, &#x27;instrumentOffsetTimeMatlab_description&#x27;: &#x27;Offset from instrument time to platform time for on-line collected data (Matlab serial date number) (days)&#x27;, &#x27;internalFilename_description&#x27;: &#x27;File name used for instrument storage&#x27;, &#x27;maxBeams&#x27;: 4, &#x27;maxBeams_description&#x27;: &#x27;Number of transducers&#x27;, &#x27;NominalCorrelation&#x27;: 82.0, &#x27;nSets&#x27;: 324926.0, &#x27;nSets_description&#x27;: &#x27;Total number of data records in this file&#x27;, &#x27;ntpPeerAddr&#x27;: 0.0, &#x27;NumberofCells&#x27;: 30.0, &#x27;oscilloscopeMode&#x27;: 0, &#x27;oscilloscopeMode_description&#x27;: &#x27;Oscilloscope mode enabled (1)/disabled (0)&#x27;, &#x27;physical_beam&#x27;: array([1., 2., 3., 4.], dtype=float32), &#x27;plan_frequency&#x27;: 1000, &#x27;plan_frequency_description&#x27;: &#x27;Transmit frequency when licensed (system dependent) (kHz)&#x27;, &#x27;plan_maxVelocity&#x27;: 10, &#x27;plan_maxVelocity_description&#x27;: &#x27;Absolute maximum vertical velocity (cm/s)&#x27;, &#x27;plan_nstt&#x27;: 0, &#x27;plan_nstt_description&#x27;: &#x27;Number of slots per second in plan&#x27;, &#x27;plan_powerUsage&#x27;: 341.54, &#x27;plan_powerUsage_description&#x27;: &#x27;Power consumption for the current plan settings (mW)&#x27;, &#x27;plan_verticalDirection&#x27;: 0, &#x27;plan_verticalDirection_description&#x27;: &#x27;Vertical Direction: 0=horizontal (4 beams), 1=descending(3 beams) 2=ascending (3 beams)&#x27;, &#x27;PowerLevel&#x27;: 0.0, &#x27;pressure&#x27;: 1, &#x27;pressure_description&#x27;: &#x27;Pressure sensor installed&#x27;, &#x27;pressureOffset&#x27;: 9.5, &#x27;pressureOffset_description&#x27;: &#x27;Offset to apply to pressure readings (dbar)&#x27;, &#x27;rawConfiguration&#x27;: &#x27;GETCLOCKSTR,TIME=&quot;2022-01-04 15:20:25&quot;\\r\\nID,STR=&quot;Glider&quot;,SN=101589\\r\\nGETHW,FW=3053,FPGA=169,DIGITAL=&quot;I-3&quot;,INTERFACE=&quot;H-4&quot;,ANALOG=&quot;G-1&quot;,SENSOR=&quot;I-0&quot;,BOOT=23,FWMINOR=2\\r\\nBOARDSENSGET,AV=23,NB=4,HF=1000,TTR=2.0000,TTRB5=2.0000\\r\\nGETPWR,PLAN=341.54,BURST=0.00,AVG=340.21,PLAN1=0.00,BURST1=0.00,AVG1=0.00,TOTAL=341.54\\r\\nGETMEM,PLAN=0.238,BURST=0.000,AVG=0.238,PLAN1=0.000,BURST1=0.000,AVG1=0.000,TOTAL=0.238\\r\\nGETPRECISION,AVGHORZ=-9.99,BURSTHORZ=-9.99,BEAM5=-9.99,AVGBEAM=1.04,BURSTBEAM=-9.99\\r\\nGETPLAN,MIAVG=10,AVG=1,DIAVG=0,VD=0,MV=10,SA=0.0,BURST=0,MIBURST=3600,DIBURST=0,SV=0.00,FN=&quot;sea063_M33.ad2cp&quot;,SO=0,FREQ=1000,NSTT=0\\r\\nGETAVG,NC=30,CS=1.00,BD=0.20,CY=&quot;BEAM&quot;,PL=0.0,AI=1,VP=0.000,VR=2.50,DF=3,NPING=4,NB=4,CH=0,MUX=0,BW=&quot;BROAD&quot;,ALTI=0,BT=1,ICE=0,ALTISTART=0.10,ALTIEND=30.00,RAWALTI=0\\r\\nGETTMAVG,EN=1,CD=1,PD=1,AVG=0,TV=1,TA=1,TC=1,CY=&quot;BEAM&quot;,FO=1,SO=1,DF=100,DISTILT=0,TPG=0,MAPBINS=0\\r\\nGETXFAVG,ROWS=4,COLS=4,M11=0.6782,M12=0.0000,M13=-0.6782,M14=0.0000,M21=0.0000,M22=-1.1831,M23=0.0000,M24=1.1831,M31=0.7400,M32=0.0000,M33=0.7400,M34=0.0000,M41=0.0000,M42=0.5518,M43=0.0000,M44=0.5518\\r\\nGETBT,RANGE=30.00,VR=5.00,NB=4,CH=0,DF=20,PL=0.0\\r\\nGETTMBT,EN=1,FO=1,SO=1,DF=300,NPING=1,FOMTH=0,CY=&quot;BEAM&quot;\\r\\nGETXFBT,ROWS=4,COLS=4,M11=0.6782,M12=0.0000,M13=-0.6782,M14=0.0000,M21=0.0000,M22=-1.1831,M23=0.0000,M24=1.1831,M31=0.7400,M32=0.0000,M33=0.7400,M34=0.0000,M41=0.0000,M42=0.5518,M43=0.0000,M44=0.5518\\r\\nGETUSER,POFF=9.50,DECL=0.00,HX=42,HY=-2,HZ=31\\r\\nGETINST,BR=115200,RS=232,LED=&quot;ON&quot;,ORIENT=&quot;AUTOZUPDOWN&quot;,CMTOUT=300,DMTOUT=60,CFMTOUT=60\\r\\nGETCOMPASSCAL,DX=-21,DY=119,DZ=33,M11=31993,M12=585,M13=-435,M21=739,M22=32767,M23=-616,M31=1079,M32=-181,M33=31955\\r\\nRECSTAT,SS=512,CS=32768,FC=15893364736,TC=15927345152,VS=15927345152\\r\\nBEAMCFGLIST,BEAM=1,THETA=47.50,PHI=0.00,FREQ=1000,BW=25,BRD=1,HWBEAM=1,ZNOM=60.00,DIA=0.0\\r\\nBEAMCFGLIST,BEAM=2,THETA=25.00,PHI=-90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=2,ZNOM=60.00,DIA=0.0\\r\\nBEAMCFGLIST,BEAM=3,THETA=47.50,PHI=180.00,FREQ=1000,BW=25,BRD=1,HWBEAM=3,ZNOM=60.00,DIA=0.0\\r\\nBEAMCFGLIST,BEAM=4,THETA=25.00,PHI=90.00,FREQ=1000,BW=25,BRD=1,HWBEAM=4,ZNOM=60.00,DIA=0.0\\r\\nBEAMIMPLIST,BEAM=1,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00\\r\\nBEAMIMPLIST,BEAM=2,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00\\r\\nBEAMIMPLIST,BEAM=3,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00\\r\\nBEAMIMPLIST,BEAM=4,P0=1.00000e+02,P1=0.00000e+00,P2=0.00000e+00,P3=0.00000e+00,P4=0.00000e+00,T1=0.00000e+00\\r\\nLISTLICENSE,KEY=&quot;269X1E452DB1B&quot;,DESC=&quot;Averaging Mode&quot;,TYPE=1\\r\\nLISTLICENSE,KEY=&quot;E9DB04272DB1B&quot;,DESC=&quot;Bottom Track&quot;,TYPE=3\\r\\nLISTLICENSE,KEY=&quot;MGBM9AB62DB1B&quot;,DESC=&quot;16GB Recorder&quot;,TYPE=11\\r\\nCALCOMPGET,DX=-21,DY=119,DZ=33,M11=31993,M12=585,M13=-435,M21=739,M22=32767,M23=-616,M31=1079,M32=-181,M33=31955\\r\\nCALTEMPGET,SC=0.99880\\r\\nCALTILTGET,PO=0.00,RO=0.00,MAGG=1,HO=0.00\\r\\nCALACCLGET,AX=1.000000E+00,B0X=5.691884E-03,B1X=-4.520657E-04,B2X=3.718679E-07,B3X=1.336155E-07,A1X=-5.347110E-05,A2X=1.383004E-06,A3X=-8.779634E-08\\r\\nCALACCLGET,AY=1.000000E+00,B0Y=-2.041904E-02,B1Y=-1.273475E-04,B2Y=-1.874240E-06,B3Y=1.530693E-07,A1Y=-6.913309E-05,A2Y=1.984639E-07,A3Y=-4.430347E-09\\r\\nCALACCLGET,AZ=1.000000E+00,B0Z=-9.403527E-03,B1Z=1.497616E-04,B2Z=-9.771238E-07,B3Z=-2.771407E-07,A1Z=-2.785454E-05,A2Z=1.121201E-06,A3Z=3.273335E-07\\r\\nCALPRESSGET,MT=1,RREF=4.5292200000e+02,RB0=3.6234200000e-01,RB1=-2.5737460940e-02,RB2=4.6010843750e-04,RB3=-1.2233278910e-07,T0=-3.9282660000e+03,T1=3.2349320000e+00,T2=-9.0893331250e-04,T3=8.8582031250e-08,ID=&quot;969896&quot;\\r\\nCALPRESSCOEFFGET,A0=2.4039750000e+02,A1=-2.1926009380e-01,A2=6.5783437500e-05,A3=-6.6509868750e-09,B0=-1.4816370000e+01,B1=1.4281670000e-02,B2=-4.3186887500e-06,B3=4.3480821880e-10\\r\\nCALPRESSCOEFFGET,C0=8.4242875000e-02,C1=-7.8157437500e-05,C2=2.4174179690e-08,C3=-2.4917428130e-12,D0=-2.9352990630e-04,D1=2.7262390630e-07,D2=-8.4347631250e-11,D3=8.6941075000e-15\\r\\nCALROTACCLGET,M11=1.00579,M12=-0.00110,M13=0.00607,M21=0.00149,M22=1.00925,M&#x27;, &#x27;rawConfiguration_continued&#x27;: &#x27;23=-0.01756,M31=-0.00190,M32=0.00252,M33=1.01063\\nCALECHOGET,CHA0=0.00,CHB0=-17.87,CHC0=0.00&#x27;, &#x27;rawConfiguration_description&#x27;: &#x27;Raw instrument configuration string&#x27;, &#x27;salinity&#x27;: 0.0, &#x27;salinity_description&#x27;: &#x27;Salinity (0.0-50.0) (ppt)&#x27;, &#x27;sensorBoard&#x27;: &#x27;I-0&#x27;, &#x27;sensorBoard_description&#x27;: &#x27;Sensor board version&#x27;, &#x27;SerialNumber&#x27;: 101589.0, &#x27;serialNumberDoppler&#x27;: 101589.0, &#x27;soundVelocity&#x27;: 0.0, &#x27;soundVelocity_description&#x27;: &#x27;Velocity of sound (1300-1700, 0 = calculated by sensor) (m/s)&#x27;, &#x27;spectrum1_channelMappingCfg&#x27;: 0, &#x27;spectrum1_channelMappingCfg_description&#x27;: &#x27;Alternate configuration channel mapping currently in use&#x27;, &#x27;spectrum1_decimation&#x27;: 0, &#x27;spectrum1_decimation_description&#x27;: &#x27;Alternate configuration spectrum data decimation value&#x27;, &#x27;spectrum1_enable&#x27;: 0, &#x27;spectrum1_enable_description&#x27;: &#x27;Enable spectrum data&#x27;, &#x27;spectrum_enable&#x27;: 0, &#x27;spectrum_enable_description&#x27;: &#x27;Enable spectrum data&#x27;, &#x27;startCollectionTime_seconds&#x27;: 1641309629, &#x27;startCollectionTime_seconds_description&#x27;: &#x27;Seconds since Jan 1, 1970 00:00:00 UTC (s)&#x27;, &#x27;startCollectionTime_subseconds&#x27;: 0.43829999999999997, &#x27;startCollectionTime_subseconds_description&#x27;: &#x27;Fractional seconds (s)&#x27;, &#x27;swRevision_description&#x27;: &#x27;Software revision&#x27;, &#x27;temperature&#x27;: 1, &#x27;temperature_description&#x27;: &#x27;Temperature sensor installed&#x27;, &#x27;tilt&#x27;: 1, &#x27;tilt_description&#x27;: &#x27;Tilt sensor installed&#x27;, &#x27;timeSync&#x27;: 0, &#x27;timeSync_description&#x27;: &#x27;Time sync mode (0 = disabled, 1 = PTP, 2 = NTP)&#x27;, &#x27;timeZoneOffset&#x27;: 3600, &#x27;timeZoneOffset_description&#x27;: &#x27;Offset of platform local time from GMT (s)&#x27;, &#x27;tmavg_en&#x27;: 0, &#x27;tmavg_en_description&#x27;: &#x27;Enable averaging mode telemetry&#x27;, &#x27;tmbt_en&#x27;: 0, &#x27;tmbt_en_description&#x27;: &#x27;Enable bottom track mode telemetry&#x27;, &#x27;tmburst_en&#x27;: 0, &#x27;tmburst_en_description&#x27;: &#x27;Enable burst mode telemetry&#x27;, &#x27;tmWave1_en&#x27;: 0, &#x27;tmWave1_en_description&#x27;: &#x27;Alternate configuration enable wave processing data&#x27;, &#x27;tmWave_en&#x27;: 0, &#x27;tmWave_en_description&#x27;: &#x27;Enable wave processing telemetry data&#x27;, &#x27;trig_en&#x27;: 0, &#x27;trig_en_description&#x27;: &#x27;Enable sync trigger&#x27;, &#x27;user_decl&#x27;: 0.0, &#x27;user_decl_description&#x27;: &#x27;Magnetic Declination (degrees)&#x27;, &#x27;user_HxHyHz&#x27;: array([42, -2, 31], dtype=int16), &#x27;user_HxHyHz_description&#x27;: &#x27;User magnetometer offsets&#x27;, &#x27;wave1_en&#x27;: 0, &#x27;wave1_en_description&#x27;: &#x27;Enable wave processing data&#x27;, &#x27;wave_en&#x27;: 0, &#x27;wave_en_description&#x27;: &#x27;Enable wave processing data&#x27;}</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                        (time: 1410, cell: 30, beam: 4)\n",
       "Coordinates:\n",
       "    latitude                       (time) float64 ...\n",
       "    longitude                      (time) float64 ...\n",
       "  * time                           (time) datetime64[ns] 2022-01-20T00:54:39....\n",
       "    depth                          (time) float64 ...\n",
       "  * cell                           (cell) int16 0 1 2 3 4 5 ... 25 26 27 28 29\n",
       "  * beam                           (beam) int16 0 1 2 3\n",
       "Data variables: (12/55)\n",
       "    ad2cp_beam1_cell_number1       (time) float32 ...\n",
       "    ad2cp_beam2_cell_number1       (time) float32 ...\n",
       "    ad2cp_beam3_cell_number1       (time) float32 ...\n",
       "    ad2cp_beam4_cell_number1       (time) float32 ...\n",
       "    ad2cp_heading                  (time) float32 ...\n",
       "    ad2cp_pitch                    (time) float32 ...\n",
       "    ...                             ...\n",
       "    turbidity_raw                  (time) float32 ...\n",
       "    vertical_distance_to_seafloor  (time) float32 ...\n",
       "    voltage                        (time) float32 ...\n",
       "    adcp_correlation               (time, cell, beam) float32 ...\n",
       "    adcp_amplitude                 (time, cell, beam) float32 ...\n",
       "    adcp_velocity                  (time, cell, beam) float32 ...\n",
       "Attributes: (12/78)\n",
       "    acknowledgement:               This study used data collected and made fr...\n",
       "    AD2CP:                         {'calibration_date': '2021-02-03', 'factor...\n",
       "    altimeter:                     {'make': 'UNKNOWN', 'model': 'UNKNOWN', 's...\n",
       "    basin:                         Bornholm Basin\n",
       "    cdm_data_type:                 TimeSeries\n",
       "    cdm_timeseries_variables:      profile_index\n",
       "    ...                            ...\n",
       "    total_dives:                   132.0\n",
       "    transmission_system:           IRIDIUM\n",
       "    variables:                     time\\nlatitude\\nlongitude\\nnav_state\\nhead...\n",
       "    Westernmost_Easting:           16.041083333333333\n",
       "    wmo_id:                        6801707\n",
       "    adcp_attributes:               {'alternateEnable': 0, 'alternateEnable_de..."
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nrt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c73ac5c4-905b-463e-a2e5-21150e7ea8ed",
   "metadata": {},
   "source": [
    "We have 20 or so dives in the nrt data. A nice size dataset to inspect"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "32b7f7e3-629c-409b-884a-fcb88a71ba12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fb049184d00>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nrt.depth.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d60fcf6e-ad5b-40b7-ad0c-7bf60f9924b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fb049096550>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nrt.adcp_correlation[:,:,2].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de1122dc-02a8-4e3e-b9e6-a18b925d9c0a",
   "metadata": {},
   "source": [
    "We can see how beam correlation decreases with increasing distance from the glider"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}