{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [
        "3H8vfniWnwZy",
        "yilB3s2xwmR5",
        "GQz5a8QmvWi-",
        "bxhSbhcbwvnS"
      ]
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Data processing tools for MATE Floats! lesson\n",
        "\n",
        "Created by Ethan Campbell for NCAT/MATE/GO-BGC Marine Technology Summer Program\n",
        "\n",
        "Tuesday, August 22, 2023"
      ],
      "metadata": {
        "id": "OxvLAQ1SWpeR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np                         # NumPy is an array and math library\n",
        "import matplotlib.pyplot as plt            # Matplotlib is a visualization (plotting) library\n",
        "import pandas as pd                        # Pandas lets us work with spreadsheet (.csv) data\n",
        "import xarray as xr\n",
        "from datetime import datetime, timedelta   # Datetime helps us work with dates and times"
      ],
      "metadata": {
        "id": "34tFnmCvvP2Y"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Routine to process R/V Carson Carkeek `.cnv` cast files"
      ],
      "metadata": {
        "id": "3H8vfniWnwZy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# May 2023 R/V Carson cruise data\n",
        "# filepaths = ['/content/2023051001001_Carkeek.cnv','/content/2023051101001_Carkeek.cnv']\n",
        "# export_filepaths = ['/content/2023051001001_Carkeek.csv','/content/2023051101001_Carkeek.csv']\n",
        "\n",
        "# August 2023 R/V Carson MATE cruise data\n",
        "filepaths = ['/content/20230825ctd01_Carkeek.cnv','/content/20230825ctd02_Carkeek.cnv']\n",
        "export_filepaths = ['/content/20230825ctd01_Carkeek.csv','/content/20230825ctd02_Carkeek.csv']\n",
        "\n",
        "casts = []\n",
        "for idx, filepath in enumerate(filepaths):\n",
        "  # Identify header line number (= line_idx - 1) and extract column names\n",
        "  file_object = open(filepath,'r')\n",
        "  all_lines = file_object.readlines()\n",
        "  file_object.close()\n",
        "  header_names = []\n",
        "  preamble_to_save = []\n",
        "  for line_idx, line in enumerate(all_lines):\n",
        "    if line[0] == '*':\n",
        "      preamble_to_save.append('# ' + line)\n",
        "    if line[0] == '#':\n",
        "      preamble_to_save.append(line)\n",
        "    if '*END*' in line:\n",
        "      break\n",
        "    elif ' name' in line:\n",
        "      header_names.append(line.split('= ')[1].split(':')[0])\n",
        "  print('First line of data after header:',line_idx, line)\n",
        "  print('Header column names:',header_names,'\\n')\n",
        "\n",
        "  # Load data\n",
        "  cnv_data = pd.read_csv(filepath,header=None,names=header_names,\n",
        "                        skiprows=line_idx+1,delim_whitespace=True)\n",
        "  # data = pd.read_csv(filepath,comment='$',delim_whitespace=True,na_values='*',\n",
        "  #                    header=None,names=col_names[2:])\n",
        "\n",
        "  # Extract approximate cast (note: this only works for a CNV file with a single cast)\n",
        "  first_sample_idx = np.argmax(np.diff(cnv_data['depSM'].rolling(window=17,center=True).mean()) > 0.03)\n",
        "  last_sample_idx = np.where(np.diff(cnv_data['depSM'].rolling(window=17,center=True).mean()) > 0.03)[0][-1]\n",
        "  cast = cnv_data.loc[first_sample_idx:last_sample_idx]\n",
        "  cast.reset_index(inplace=True,drop=True)\n",
        "\n",
        "  # De-spike cast data\n",
        "  neg_spike_idx = cast['depSM'].index[cast['depSM'].diff() < -10].values\n",
        "  pos_spike_idx = cast['depSM'].index[cast['depSM'].diff() > 10].values\n",
        "  oxy_spike_idx = cast['sbeox0ML/L'].index[cast['sbeox0ML/L'] < 0.0].values\n",
        "  all_spike_idx = np.sort(np.concatenate((neg_spike_idx,pos_spike_idx,oxy_spike_idx)))\n",
        "  if len(all_spike_idx) > 0:\n",
        "    cast = cast.drop(index=all_spike_idx)\n",
        "\n",
        "  # Display and save cast data\n",
        "  display(cast)\n",
        "  casts.append(cast)\n",
        "\n",
        "  # Export data and pre-pend with original header preamble\n",
        "  cast.to_csv(export_filepaths[idx])\n",
        "  with open(export_filepaths[idx], 'r+') as f:\n",
        "    content = f.read()\n",
        "    f.seek(0,0)\n",
        "    f.write(\"\".join(preamble_to_save) + content)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "E3bePjbinzrr",
        "outputId": "13d77a39-14d4-4033-8e3a-2ce85dc7a029"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "First line of data after header: 250 *END*\n",
            "\n",
            "Header column names: ['altM', 'CStarTr0', 'c0mS/cm', 'density00', 'depSM', 'latitude', 'longitude', 'flECO-AFL', 'modError', 'sbeox0Mg/L', 'sbeox0ML/L', 'ph', 'potemp090C', 'prDM', 'sal00', 't090C', 'scan', 'flag'] \n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "       altM  CStarTr0    c0mS/cm  density00    depSM  latitude  longitude  \\\n",
              "0     98.51   85.0319  36.454765  1022.5799    3.094  47.69744 -122.45666   \n",
              "1     98.53   85.0319  36.454386  1022.5800    3.110  47.69744 -122.45666   \n",
              "2     98.53   85.0575  36.450979  1022.5803    3.151  47.69744 -122.45666   \n",
              "3     98.53   85.0319  36.447381  1022.5802    3.094  47.69744 -122.45666   \n",
              "4     98.53   85.0319  36.447445  1022.5819    3.231  47.69744 -122.45666   \n",
              "...     ...       ...        ...        ...      ...       ...        ...   \n",
              "9006  13.60   76.3392  36.207341  1024.1586  188.034  47.69732 -122.45778   \n",
              "9007  13.55   76.3392  36.207467  1024.1587  188.034  47.69732 -122.45778   \n",
              "9008  13.53   76.3392  36.207656  1024.1593  188.114  47.69732 -122.45778   \n",
              "9009  13.53   76.3392  36.207278  1024.1589  188.098  47.69732 -122.45778   \n",
              "9010  13.55   76.3392  36.206901  1024.1589  188.154  47.69732 -122.45778   \n",
              "\n",
              "      flECO-AFL  modError  sbeox0Mg/L  sbeox0ML/L     ph  potemp090C     prDM  \\\n",
              "0        1.6112         0      8.0144      5.6080  9.035     13.6443    3.121   \n",
              "1        1.6112         0      8.0145      5.6081  9.035     13.6439    3.137   \n",
              "2        1.6112         0      8.0096      5.6046  9.030     13.6407    3.177   \n",
              "3        1.6112         0      8.0143      5.6080  9.035     13.6374    3.121   \n",
              "4        1.6112         0      8.0139      5.6077  9.035     13.6360    3.258   \n",
              "...         ...       ...         ...         ...    ...         ...      ...   \n",
              "9006     0.2925         2      5.9266      4.1471  8.865     12.4265  189.707   \n",
              "9007     0.3218         2      5.9256      4.1464  8.865     12.4266  189.707   \n",
              "9008     0.3218         2      5.9247      4.1458  8.865     12.4263  189.788   \n",
              "9009     0.2925         2      5.9237      4.1451  8.865     12.4264  189.772   \n",
              "9010     0.3218         2      5.9234      4.1449  8.865     12.4264  189.829   \n",
              "\n",
              "        sal00    t090C   scan  flag  \n",
              "0     30.2181  13.6447   5364   0.0  \n",
              "1     30.2180  13.6443   5365   0.0  \n",
              "2     30.2174  13.6411   5366   0.0  \n",
              "3     30.2167  13.6378   5367   0.0  \n",
              "4     30.2178  13.6364   5368   0.0  \n",
              "...       ...      ...    ...   ...  \n",
              "9006  30.8767  12.4508  14370   0.0  \n",
              "9007  30.8768  12.4508  14371   0.0  \n",
              "9008  30.8771  12.4506  14372   0.0  \n",
              "9009  30.8767  12.4507  14373   0.0  \n",
              "9010  30.8763  12.4507  14374   0.0  \n",
              "\n",
              "[9006 rows x 18 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-dedc24f4-36c2-40fb-b3ee-76283ab31439\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>altM</th>\n",
              "      <th>CStarTr0</th>\n",
              "      <th>c0mS/cm</th>\n",
              "      <th>density00</th>\n",
              "      <th>depSM</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>flECO-AFL</th>\n",
              "      <th>modError</th>\n",
              "      <th>sbeox0Mg/L</th>\n",
              "      <th>sbeox0ML/L</th>\n",
              "      <th>ph</th>\n",
              "      <th>potemp090C</th>\n",
              "      <th>prDM</th>\n",
              "      <th>sal00</th>\n",
              "      <th>t090C</th>\n",
              "      <th>scan</th>\n",
              "      <th>flag</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>98.51</td>\n",
              "      <td>85.0319</td>\n",
              "      <td>36.454765</td>\n",
              "      <td>1022.5799</td>\n",
              "      <td>3.094</td>\n",
              "      <td>47.69744</td>\n",
              "      <td>-122.45666</td>\n",
              "      <td>1.6112</td>\n",
              "      <td>0</td>\n",
              "      <td>8.0144</td>\n",
              "      <td>5.6080</td>\n",
              "      <td>9.035</td>\n",
              "      <td>13.6443</td>\n",
              "      <td>3.121</td>\n",
              "      <td>30.2181</td>\n",
              "      <td>13.6447</td>\n",
              "      <td>5364</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>98.53</td>\n",
              "      <td>85.0319</td>\n",
              "      <td>36.454386</td>\n",
              "      <td>1022.5800</td>\n",
              "      <td>3.110</td>\n",
              "      <td>47.69744</td>\n",
              "      <td>-122.45666</td>\n",
              "      <td>1.6112</td>\n",
              "      <td>0</td>\n",
              "      <td>8.0145</td>\n",
              "      <td>5.6081</td>\n",
              "      <td>9.035</td>\n",
              "      <td>13.6439</td>\n",
              "      <td>3.137</td>\n",
              "      <td>30.2180</td>\n",
              "      <td>13.6443</td>\n",
              "      <td>5365</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>98.53</td>\n",
              "      <td>85.0575</td>\n",
              "      <td>36.450979</td>\n",
              "      <td>1022.5803</td>\n",
              "      <td>3.151</td>\n",
              "      <td>47.69744</td>\n",
              "      <td>-122.45666</td>\n",
              "      <td>1.6112</td>\n",
              "      <td>0</td>\n",
              "      <td>8.0096</td>\n",
              "      <td>5.6046</td>\n",
              "      <td>9.030</td>\n",
              "      <td>13.6407</td>\n",
              "      <td>3.177</td>\n",
              "      <td>30.2174</td>\n",
              "      <td>13.6411</td>\n",
              "      <td>5366</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>98.53</td>\n",
              "      <td>85.0319</td>\n",
              "      <td>36.447381</td>\n",
              "      <td>1022.5802</td>\n",
              "      <td>3.094</td>\n",
              "      <td>47.69744</td>\n",
              "      <td>-122.45666</td>\n",
              "      <td>1.6112</td>\n",
              "      <td>0</td>\n",
              "      <td>8.0143</td>\n",
              "      <td>5.6080</td>\n",
              "      <td>9.035</td>\n",
              "      <td>13.6374</td>\n",
              "      <td>3.121</td>\n",
              "      <td>30.2167</td>\n",
              "      <td>13.6378</td>\n",
              "      <td>5367</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>98.53</td>\n",
              "      <td>85.0319</td>\n",
              "      <td>36.447445</td>\n",
              "      <td>1022.5819</td>\n",
              "      <td>3.231</td>\n",
              "      <td>47.69744</td>\n",
              "      <td>-122.45666</td>\n",
              "      <td>1.6112</td>\n",
              "      <td>0</td>\n",
              "      <td>8.0139</td>\n",
              "      <td>5.6077</td>\n",
              "      <td>9.035</td>\n",
              "      <td>13.6360</td>\n",
              "      <td>3.258</td>\n",
              "      <td>30.2178</td>\n",
              "      <td>13.6364</td>\n",
              "      <td>5368</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9006</th>\n",
              "      <td>13.60</td>\n",
              "      <td>76.3392</td>\n",
              "      <td>36.207341</td>\n",
              "      <td>1024.1586</td>\n",
              "      <td>188.034</td>\n",
              "      <td>47.69732</td>\n",
              "      <td>-122.45778</td>\n",
              "      <td>0.2925</td>\n",
              "      <td>2</td>\n",
              "      <td>5.9266</td>\n",
              "      <td>4.1471</td>\n",
              "      <td>8.865</td>\n",
              "      <td>12.4265</td>\n",
              "      <td>189.707</td>\n",
              "      <td>30.8767</td>\n",
              "      <td>12.4508</td>\n",
              "      <td>14370</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9007</th>\n",
              "      <td>13.55</td>\n",
              "      <td>76.3392</td>\n",
              "      <td>36.207467</td>\n",
              "      <td>1024.1587</td>\n",
              "      <td>188.034</td>\n",
              "      <td>47.69732</td>\n",
              "      <td>-122.45778</td>\n",
              "      <td>0.3218</td>\n",
              "      <td>2</td>\n",
              "      <td>5.9256</td>\n",
              "      <td>4.1464</td>\n",
              "      <td>8.865</td>\n",
              "      <td>12.4266</td>\n",
              "      <td>189.707</td>\n",
              "      <td>30.8768</td>\n",
              "      <td>12.4508</td>\n",
              "      <td>14371</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9008</th>\n",
              "      <td>13.53</td>\n",
              "      <td>76.3392</td>\n",
              "      <td>36.207656</td>\n",
              "      <td>1024.1593</td>\n",
              "      <td>188.114</td>\n",
              "      <td>47.69732</td>\n",
              "      <td>-122.45778</td>\n",
              "      <td>0.3218</td>\n",
              "      <td>2</td>\n",
              "      <td>5.9247</td>\n",
              "      <td>4.1458</td>\n",
              "      <td>8.865</td>\n",
              "      <td>12.4263</td>\n",
              "      <td>189.788</td>\n",
              "      <td>30.8771</td>\n",
              "      <td>12.4506</td>\n",
              "      <td>14372</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9009</th>\n",
              "      <td>13.53</td>\n",
              "      <td>76.3392</td>\n",
              "      <td>36.207278</td>\n",
              "      <td>1024.1589</td>\n",
              "      <td>188.098</td>\n",
              "      <td>47.69732</td>\n",
              "      <td>-122.45778</td>\n",
              "      <td>0.2925</td>\n",
              "      <td>2</td>\n",
              "      <td>5.9237</td>\n",
              "      <td>4.1451</td>\n",
              "      <td>8.865</td>\n",
              "      <td>12.4264</td>\n",
              "      <td>189.772</td>\n",
              "      <td>30.8767</td>\n",
              "      <td>12.4507</td>\n",
              "      <td>14373</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9010</th>\n",
              "      <td>13.55</td>\n",
              "      <td>76.3392</td>\n",
              "      <td>36.206901</td>\n",
              "      <td>1024.1589</td>\n",
              "      <td>188.154</td>\n",
              "      <td>47.69732</td>\n",
              "      <td>-122.45778</td>\n",
              "      <td>0.3218</td>\n",
              "      <td>2</td>\n",
              "      <td>5.9234</td>\n",
              "      <td>4.1449</td>\n",
              "      <td>8.865</td>\n",
              "      <td>12.4264</td>\n",
              "      <td>189.829</td>\n",
              "      <td>30.8763</td>\n",
              "      <td>12.4507</td>\n",
              "      <td>14374</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>9006 rows × 18 columns</p>\n",
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              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      fill: #FFFFFF;\n",
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              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-dedc24f4-36c2-40fb-b3ee-76283ab31439 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-dedc24f4-36c2-40fb-b3ee-76283ab31439');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
              "\n",
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              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-58ab3c1b-03fb-4821-a59a-9be70a70bfd3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "First line of data after header: 250 *END*\n",
            "\n",
            "Header column names: ['altM', 'CStarTr0', 'c0mS/cm', 'density00', 'depSM', 'latitude', 'longitude', 'flECO-AFL', 'modError', 'sbeox0Mg/L', 'sbeox0ML/L', 'ph', 'potemp090C', 'prDM', 'sal00', 't090C', 'scan', 'flag'] \n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "       altM  CStarTr0    c0mS/cm  density00    depSM  latitude  longitude  \\\n",
              "0     98.53   84.5703  37.265011  1022.3681    2.294  47.69982 -122.45644   \n",
              "1     98.51   84.5703  37.262911  1022.3688    2.438  47.69982 -122.45644   \n",
              "2     98.53   84.5703  37.263164  1022.3679    2.118  47.69982 -122.45644   \n",
              "3     98.51   84.5703  37.263674  1022.3684    2.254  47.69982 -122.45644   \n",
              "4     98.53   84.5703  37.263546  1022.3673    2.062  47.69982 -122.45644   \n",
              "...     ...       ...        ...        ...      ...       ...        ...   \n",
              "9253  13.33   69.1337  36.215576  1024.1453  184.981  47.69966 -122.45648   \n",
              "9254  13.31   69.1337  36.215449  1024.1448  184.941  47.69966 -122.45648   \n",
              "9255  13.31   69.1337  36.215513  1024.1451  184.981  47.69966 -122.45648   \n",
              "9256  13.31   69.1337  36.215261  1024.1448  185.038  47.69966 -122.45648   \n",
              "9257  13.26   69.1337  36.215198  1024.1449  185.062  47.69966 -122.45648   \n",
              "\n",
              "      flECO-AFL  modError  sbeox0Mg/L  sbeox0ML/L     ph  potemp090C     prDM  \\\n",
              "0        0.3511         0      8.1838      5.7265  9.033     14.6083    2.313   \n",
              "1        0.3804         0      8.1890      5.7302  9.038     14.6065    2.459   \n",
              "2        0.3804         0      8.1888      5.7300  9.038     14.6062    2.136   \n",
              "3        0.3511         0      8.1893      5.7304  9.033     14.6067    2.273   \n",
              "4        0.3804         0      8.1947      5.7341  9.033     14.6069    2.079   \n",
              "...         ...       ...         ...         ...    ...         ...      ...   \n",
              "9253     0.3511         0      5.9840      4.1872  8.846     12.4347  186.626   \n",
              "9254     0.3804         0      5.9894      4.1910  8.846     12.4350  186.585   \n",
              "9255     0.3804         0      5.9844      4.1875  8.846     12.4349  186.626   \n",
              "9256     0.3511         0      5.9842      4.1874  8.846     12.4353  186.683   \n",
              "9257     0.3804         0      5.9896      4.1911  8.846     12.4352  186.707   \n",
              "\n",
              "        sal00    t090C   scan  flag  \n",
              "0     30.2016  14.6087   3917   0.0  \n",
              "1     30.2011  14.6068   3918   0.0  \n",
              "2     30.2017  14.6065   3919   0.0  \n",
              "3     30.2017  14.6070   3920   0.0  \n",
              "4     30.2015  14.6072   3921   0.0  \n",
              "...       ...      ...    ...   ...  \n",
              "9253  30.8793  12.4586  13170   0.0  \n",
              "9254  30.8790  12.4589  13171   0.0  \n",
              "9255  30.8791  12.4588  13172   0.0  \n",
              "9256  30.8785  12.4592  13173   0.0  \n",
              "9257  30.8785  12.4591  13174   0.0  \n",
              "\n",
              "[9258 rows x 18 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-efc6b16e-fcbf-49f9-9ce5-e4a5f7dea924\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>altM</th>\n",
              "      <th>CStarTr0</th>\n",
              "      <th>c0mS/cm</th>\n",
              "      <th>density00</th>\n",
              "      <th>depSM</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>flECO-AFL</th>\n",
              "      <th>modError</th>\n",
              "      <th>sbeox0Mg/L</th>\n",
              "      <th>sbeox0ML/L</th>\n",
              "      <th>ph</th>\n",
              "      <th>potemp090C</th>\n",
              "      <th>prDM</th>\n",
              "      <th>sal00</th>\n",
              "      <th>t090C</th>\n",
              "      <th>scan</th>\n",
              "      <th>flag</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>98.53</td>\n",
              "      <td>84.5703</td>\n",
              "      <td>37.265011</td>\n",
              "      <td>1022.3681</td>\n",
              "      <td>2.294</td>\n",
              "      <td>47.69982</td>\n",
              "      <td>-122.45644</td>\n",
              "      <td>0.3511</td>\n",
              "      <td>0</td>\n",
              "      <td>8.1838</td>\n",
              "      <td>5.7265</td>\n",
              "      <td>9.033</td>\n",
              "      <td>14.6083</td>\n",
              "      <td>2.313</td>\n",
              "      <td>30.2016</td>\n",
              "      <td>14.6087</td>\n",
              "      <td>3917</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>98.51</td>\n",
              "      <td>84.5703</td>\n",
              "      <td>37.262911</td>\n",
              "      <td>1022.3688</td>\n",
              "      <td>2.438</td>\n",
              "      <td>47.69982</td>\n",
              "      <td>-122.45644</td>\n",
              "      <td>0.3804</td>\n",
              "      <td>0</td>\n",
              "      <td>8.1890</td>\n",
              "      <td>5.7302</td>\n",
              "      <td>9.038</td>\n",
              "      <td>14.6065</td>\n",
              "      <td>2.459</td>\n",
              "      <td>30.2011</td>\n",
              "      <td>14.6068</td>\n",
              "      <td>3918</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>98.53</td>\n",
              "      <td>84.5703</td>\n",
              "      <td>37.263164</td>\n",
              "      <td>1022.3679</td>\n",
              "      <td>2.118</td>\n",
              "      <td>47.69982</td>\n",
              "      <td>-122.45644</td>\n",
              "      <td>0.3804</td>\n",
              "      <td>0</td>\n",
              "      <td>8.1888</td>\n",
              "      <td>5.7300</td>\n",
              "      <td>9.038</td>\n",
              "      <td>14.6062</td>\n",
              "      <td>2.136</td>\n",
              "      <td>30.2017</td>\n",
              "      <td>14.6065</td>\n",
              "      <td>3919</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>98.51</td>\n",
              "      <td>84.5703</td>\n",
              "      <td>37.263674</td>\n",
              "      <td>1022.3684</td>\n",
              "      <td>2.254</td>\n",
              "      <td>47.69982</td>\n",
              "      <td>-122.45644</td>\n",
              "      <td>0.3511</td>\n",
              "      <td>0</td>\n",
              "      <td>8.1893</td>\n",
              "      <td>5.7304</td>\n",
              "      <td>9.033</td>\n",
              "      <td>14.6067</td>\n",
              "      <td>2.273</td>\n",
              "      <td>30.2017</td>\n",
              "      <td>14.6070</td>\n",
              "      <td>3920</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>98.53</td>\n",
              "      <td>84.5703</td>\n",
              "      <td>37.263546</td>\n",
              "      <td>1022.3673</td>\n",
              "      <td>2.062</td>\n",
              "      <td>47.69982</td>\n",
              "      <td>-122.45644</td>\n",
              "      <td>0.3804</td>\n",
              "      <td>0</td>\n",
              "      <td>8.1947</td>\n",
              "      <td>5.7341</td>\n",
              "      <td>9.033</td>\n",
              "      <td>14.6069</td>\n",
              "      <td>2.079</td>\n",
              "      <td>30.2015</td>\n",
              "      <td>14.6072</td>\n",
              "      <td>3921</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>9253</th>\n",
              "      <td>13.33</td>\n",
              "      <td>69.1337</td>\n",
              "      <td>36.215576</td>\n",
              "      <td>1024.1453</td>\n",
              "      <td>184.981</td>\n",
              "      <td>47.69966</td>\n",
              "      <td>-122.45648</td>\n",
              "      <td>0.3511</td>\n",
              "      <td>0</td>\n",
              "      <td>5.9840</td>\n",
              "      <td>4.1872</td>\n",
              "      <td>8.846</td>\n",
              "      <td>12.4347</td>\n",
              "      <td>186.626</td>\n",
              "      <td>30.8793</td>\n",
              "      <td>12.4586</td>\n",
              "      <td>13170</td>\n",
              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>9254</th>\n",
              "      <td>13.31</td>\n",
              "      <td>69.1337</td>\n",
              "      <td>36.215449</td>\n",
              "      <td>1024.1448</td>\n",
              "      <td>184.941</td>\n",
              "      <td>47.69966</td>\n",
              "      <td>-122.45648</td>\n",
              "      <td>0.3804</td>\n",
              "      <td>0</td>\n",
              "      <td>5.9894</td>\n",
              "      <td>4.1910</td>\n",
              "      <td>8.846</td>\n",
              "      <td>12.4350</td>\n",
              "      <td>186.585</td>\n",
              "      <td>30.8790</td>\n",
              "      <td>12.4589</td>\n",
              "      <td>13171</td>\n",
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              "      <th>9255</th>\n",
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              "      <td>1024.1451</td>\n",
              "      <td>184.981</td>\n",
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              "      <td>-122.45648</td>\n",
              "      <td>0.3804</td>\n",
              "      <td>0</td>\n",
              "      <td>5.9844</td>\n",
              "      <td>4.1875</td>\n",
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              "      <td>12.4349</td>\n",
              "      <td>186.626</td>\n",
              "      <td>30.8791</td>\n",
              "      <td>12.4588</td>\n",
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              "      <td>0.3511</td>\n",
              "      <td>0</td>\n",
              "      <td>5.9842</td>\n",
              "      <td>4.1874</td>\n",
              "      <td>8.846</td>\n",
              "      <td>12.4353</td>\n",
              "      <td>186.683</td>\n",
              "      <td>30.8785</td>\n",
              "      <td>12.4592</td>\n",
              "      <td>13173</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9257</th>\n",
              "      <td>13.26</td>\n",
              "      <td>69.1337</td>\n",
              "      <td>36.215198</td>\n",
              "      <td>1024.1449</td>\n",
              "      <td>185.062</td>\n",
              "      <td>47.69966</td>\n",
              "      <td>-122.45648</td>\n",
              "      <td>0.3804</td>\n",
              "      <td>0</td>\n",
              "      <td>5.9896</td>\n",
              "      <td>4.1911</td>\n",
              "      <td>8.846</td>\n",
              "      <td>12.4352</td>\n",
              "      <td>186.707</td>\n",
              "      <td>30.8785</td>\n",
              "      <td>12.4591</td>\n",
              "      <td>13174</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>9258 rows × 18 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-efc6b16e-fcbf-49f9-9ce5-e4a5f7dea924')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-efc6b16e-fcbf-49f9-9ce5-e4a5f7dea924 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-efc6b16e-fcbf-49f9-9ce5-e4a5f7dea924');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-772033cf-bf1c-4e1b-bfae-e0290331763f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-772033cf-bf1c-4e1b-bfae-e0290331763f')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-772033cf-bf1c-4e1b-bfae-e0290331763f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Diagnostic plots for R/V Carson casts"
      ],
      "metadata": {
        "id": "yilB3s2xwmR5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(dpi=400)\n",
        "plt.plot(cnv_data['depSM'])\n",
        "plt.xlabel('Sample number')\n",
        "plt.ylabel('Depth (m)')\n",
        "plt.title('R/V Carson MATE cruise (8/25/23) - CTD #1')\n",
        "plt.grid();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 822
        },
        "id": "o-pCl4k3yeHA",
        "outputId": "f02e64e2-7883-4e73-b3d0-7b352361ae6c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2560x1920 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(np.diff(cnv_data['depSM']),lw=0.5,c='k')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "id": "LVvlub-90rdY",
        "outputId": "17c5e958-1bb4-467b-e6e4-375ab066818b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7c260f095bd0>]"
            ]
          },
          "metadata": {},
          "execution_count": 96
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(np.diff(cnv_data['depSM'].rolling(window=19,center=True).mean()),lw=0.5,c='k')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "id": "R3YwVVP2zeJ_",
        "outputId": "c07b6742-cb00-4fcb-b020-07e149489203"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7c260f2c0130>]"
            ]
          },
          "metadata": {},
          "execution_count": 97
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(casts[1]['depSM'])\n",
        "plt.xlabel('Sample number')\n",
        "plt.ylabel('Depth (m)');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 454
        },
        "id": "jnNwnPs5o8zI",
        "outputId": "6c11158b-6af4-4731-fa07-17f27b9dbde9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(casts[0]['t090C'],casts[0]['depSM'],label='Cast #1')\n",
        "plt.plot(casts[1]['t090C'],casts[1]['depSM'],label='Cast #2')\n",
        "plt.legend()\n",
        "plt.gca().invert_yaxis()\n",
        "plt.grid(alpha=0.5)\n",
        "plt.xlabel('Temperature (°C)')\n",
        "plt.ylabel('Depth (m)');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "FFXQK_cX2EbL",
        "outputId": "c452ad9f-a45d-47b0-bc45-63ece8060e6f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "casts[1]['t090C'].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kC4vfeI0HNwx",
        "outputId": "b6e6b8bf-d3f9-40bc-81b3-70176ceae8d0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8.751454190571213"
            ]
          },
          "metadata": {},
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(dpi=400)\n",
        "plt.plot(casts[0]['t090C'],casts[0]['depSM'],label='Cast #1 (morning)')\n",
        "plt.plot(casts[1]['t090C'],casts[1]['depSM'],label='Cast #2 (afternoon)')\n",
        "plt.legend()\n",
        "plt.gca().invert_yaxis()\n",
        "plt.grid(alpha=0.5)\n",
        "plt.xlabel('Temperature (°C)')\n",
        "plt.ylabel('Depth (m)')\n",
        "plt.title('R/V Carson MATE cruise (8/25/23)');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 823
        },
        "id": "amyM-HYvvX52",
        "outputId": "1ebb5ca0-b6b8-4c45-8640-ce155571b9e4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2560x1920 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "oxy_bot_dep = [185,130,90,30,20,0]\n",
        "oxy_bot_val = [6.23,5.56,5.54,6.57,7.09,8.06]\n",
        "\n",
        "plt.figure(dpi=400)\n",
        "plt.plot(casts[1]['sbeox0Mg/L'],casts[1]['depSM'],label='Cast #2 (afternoon) - SBE 43 sensor')\n",
        "plt.scatter(oxy_bot_val,oxy_bot_dep,c='purple',s=30,zorder=2,label='Cast #2 (afternoon) - bottle titrations')\n",
        "plt.legend()\n",
        "plt.gca().invert_yaxis()\n",
        "plt.grid(alpha=0.5)\n",
        "plt.xlabel('Dissolved oxygen (mg/L)')\n",
        "plt.ylabel('Depth (m)')\n",
        "plt.title('R/V Carson MATE cruise (8/25/23)');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 822
        },
        "id": "D8nSYlwvjifP",
        "outputId": "39acb903-19ec-46c5-b949-92acc2d3ead3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2560x1920 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "chl_bot_dep = [[185,185,185],150,120,90,60,40,30,20,10,0]\n",
        "chl_bot_val = [[0.612,0.813,0.799],0.468,0.460,0.274,0.345,0.426,1.111,1.791,4.589,4.165]\n",
        "\n",
        "plt.figure(dpi=400)\n",
        "plt.plot(casts[1]['flECO-AFL'],casts[1]['depSM'],label='Cast #2 (afternoon) - ECO-AFL/FL sensor')\n",
        "for idx in range(len(chl_bot_dep)):\n",
        "  if type(chl_bot_val[idx]) is not list:\n",
        "    if idx == len(chl_bot_dep)-1: label = 'Cast #2 (afternoon) - bottle sample analyses'\n",
        "    else:                         label = None\n",
        "    plt.scatter(chl_bot_val[idx],chl_bot_dep[idx],c='purple',s=30,zorder=2,label=label)\n",
        "  else:\n",
        "    # plt.scatter(chl_bot_val[idx],chl_bot_dep[idx],c='purple',s=10,marker='x',zorder=2,label=label)\n",
        "    plt.errorbar(np.mean(chl_bot_val[idx]),np.mean(chl_bot_dep[idx]),xerr=np.std(chl_bot_val[idx]),\n",
        "                 marker='o',ms=3,capsize=3,c='purple')\n",
        "plt.legend()\n",
        "plt.gca().invert_yaxis()\n",
        "plt.grid(alpha=0.5)\n",
        "plt.xlabel('Chlorophyll fluorescence (mg/m$^3$)')\n",
        "plt.ylabel('Depth (m)')\n",
        "plt.title('R/V Carson MATE cruise (8/25/23)');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 828
        },
        "id": "3LhEelVGzMZy",
        "outputId": "0d1a02c3-2910-44e5-e041-651b5808bf15"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2560x1920 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "chl_bot_dep[idx]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1vFwuqg02MQc",
        "outputId": "fbc81557-a99f-42c3-8638-750821595ed1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[185, 185, 185]"
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Routine to process glider `.nc` cast files"
      ],
      "metadata": {
        "id": "GQz5a8QmvWi-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "filepath = '/content/p1750005.nc'\n",
        "\n",
        "data = xr.open_dataset(filepath)\n",
        "display(data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "fF-Z8zXNvZkj",
        "outputId": "bdb6dcf2-158d-4483-9d5b-84be3618a2f1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<xarray.Dataset>\n",
              "Dimensions:                             (sg_data_point: 340,\n",
              "                                         magnetometer_data_point: 340,\n",
              "                                         gc_event: 32, gc_state: 10,\n",
              "                                         gps_info: 3, trajectory: 1)\n",
              "Coordinates:\n",
              "    ctd_time                            (sg_data_point) datetime64[ns] ...\n",
              "    ctd_depth                           (sg_data_point) float64 ...\n",
              "    latitude                            (sg_data_point) float64 ...\n",
              "    longitude                           (sg_data_point) float64 ...\n",
              "  * trajectory                          (trajectory) int32 5\n",
              "Dimensions without coordinates: sg_data_point, magnetometer_data_point,\n",
              "                                gc_event, gc_state, gps_info\n",
              "Data variables: (12/454)\n",
              "    time                                (sg_data_point) datetime64[ns] ...\n",
              "    pressure                            (sg_data_point) float64 ...\n",
              "    depth                               (sg_data_point) float64 ...\n",
              "    speed_gsm                           (sg_data_point) float64 ...\n",
              "    glide_angle_gsm                     (sg_data_point) float64 ...\n",
              "    horz_speed_gsm                      (sg_data_point) float64 ...\n",
              "    ...                                  ...\n",
              "    depth_avg_curr_east_gsm             float64 ...\n",
              "    depth_avg_curr_north_gsm            float64 ...\n",
              "    depth_avg_curr_east                 float64 ...\n",
              "    depth_avg_curr_north                float64 ...\n",
              "    depth_avg_curr_error                float64 ...\n",
              "    reviewed                            int32 ...\n",
              "Attributes: (12/48)\n",
              "    time_coverage_start:             2023-05-12T19:05:17Z\n",
              "    time_coverage_end:               2023-05-12T20:05:19Z\n",
              "    geospatial_lat_min:              47.71529999999999\n",
              "    geospatial_lat_max:              47.72470982097746\n",
              "    geospatial_lon_min:              -122.3988\n",
              "    geospatial_lon_max:              -122.39744937788291\n",
              "    ...                              ...\n",
              "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
              "    Conventions:                     CF-1.6\n",
              "    standard_name_vocabulary:        CF-1.6\n",
              "    featureType:                     trajectory\n",
              "    cdm_data_type:                   Trajectory\n",
              "    nodc_template_version:           NODC_NetCDF_Trajectory_Template_v0.9"
            ],
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              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
              "Dimensions:                             (sg_data_point: 340,\n",
              "                                         magnetometer_data_point: 340,\n",
              "                                         gc_event: 32, gc_state: 10,\n",
              "                                         gps_info: 3, trajectory: 1)\n",
              "Coordinates:\n",
              "    ctd_time                            (sg_data_point) datetime64[ns] ...\n",
              "    ctd_depth                           (sg_data_point) float64 ...\n",
              "    latitude                            (sg_data_point) float64 ...\n",
              "    longitude                           (sg_data_point) float64 ...\n",
              "  * trajectory                          (trajectory) int32 5\n",
              "Dimensions without coordinates: sg_data_point, magnetometer_data_point,\n",
              "                                gc_event, gc_state, gps_info\n",
              "Data variables: (12/454)\n",
              "    time                                (sg_data_point) datetime64[ns] ...\n",
              "    pressure                            (sg_data_point) float64 ...\n",
              "    depth                               (sg_data_point) float64 ...\n",
              "    speed_gsm                           (sg_data_point) float64 ...\n",
              "    glide_angle_gsm                     (sg_data_point) float64 ...\n",
              "    horz_speed_gsm                      (sg_data_point) float64 ...\n",
              "    ...                                  ...\n",
              "    depth_avg_curr_east_gsm             float64 ...\n",
              "    depth_avg_curr_north_gsm            float64 ...\n",
              "    depth_avg_curr_east                 float64 ...\n",
              "    depth_avg_curr_north                float64 ...\n",
              "    depth_avg_curr_error                float64 ...\n",
              "    reviewed                            int32 ...\n",
              "Attributes: (12/48)\n",
              "    time_coverage_start:             2023-05-12T19:05:17Z\n",
              "    time_coverage_end:               2023-05-12T20:05:19Z\n",
              "    geospatial_lat_min:              47.71529999999999\n",
              "    geospatial_lat_max:              47.72470982097746\n",
              "    geospatial_lon_min:              -122.3988\n",
              "    geospatial_lon_max:              -122.39744937788291\n",
              "    ...                              ...\n",
              "    Metadata_Conventions:            Unidata Dataset Discovery v1.0\n",
              "    Conventions:                     CF-1.6\n",
              "    standard_name_vocabulary:        CF-1.6\n",
              "    featureType:                     trajectory\n",
              "    cdm_data_type:                   Trajectory\n",
              "    nodc_template_version:           NODC_NetCDF_Trajectory_Template_v0.9</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-a3703133-e996-4d44-9622-9ec72b47b867' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a3703133-e996-4d44-9622-9ec72b47b867' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>sg_data_point</span>: 340</li><li><span>magnetometer_data_point</span>: 340</li><li><span>gc_event</span>: 32</li><li><span>gc_state</span>: 10</li><li><span>gps_info</span>: 3</li><li><span class='xr-has-index'>trajectory</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3d1a2973-8a8f-49a7-be80-f4476781f4e0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3d1a2973-8a8f-49a7-be80-f4476781f4e0' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>ctd_time</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-66b4b35f-572e-49f2-b7c6-f612240029e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66b4b35f-572e-49f2-b7c6-f612240029e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40d2897d-bd29-4f69-8072-9e34b4533c00' class='xr-var-data-in' type='checkbox'><label for='data-40d2897d-bd29-4f69-8072-9e34b4533c00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment :</span></dt><dd>Time of CTD sample in GMT epoch format</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ctd_depth</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-01736d4b-00fe-4d0a-b2d2-112476b64444' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01736d4b-00fe-4d0a-b2d2-112476b64444' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c7a35cf-6737-47e4-999b-24b837c7e436' class='xr-var-data-in' type='checkbox'><label for='data-9c7a35cf-6737-47e4-999b-24b837c7e436' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>comment :</span></dt><dd>CTD thermistor depth corrected for average latitude</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8ea36375-8fbe-4e91-a8d9-e03e5f7e30e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ea36375-8fbe-4e91-a8d9-e03e5f7e30e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7df3d770-6a73-4ebf-ada9-1b6cfc3dc34b' class='xr-var-data-in' type='checkbox'><label for='data-7df3d770-6a73-4ebf-ada9-1b6cfc3dc34b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>comment :</span></dt><dd>Latitude of the sample based on hdm DAC</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 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'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42b47043-b286-4ab4-a53e-04f79f8050e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42b47043-b286-4ab4-a53e-04f79f8050e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-267ab6ee-d017-4ef8-9cb8-f5910f976a37' class='xr-var-data-in' type='checkbox'><label for='data-267ab6ee-d017-4ef8-9cb8-f5910f976a37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>comment :</span></dt><dd>Longitude of the sample based on hdm DAC</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>trajectory</span></div><div class='xr-var-dims'>(trajectory)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>5</div><input id='attrs-bbd3ba7b-1baa-4cc3-b899-25924f3c35b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbd3ba7b-1baa-4cc3-b899-25924f3c35b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dda64f6-d6b6-41bb-9ea8-7eac744d5602' class='xr-var-data-in' type='checkbox'><label for='data-8dda64f6-d6b6-41bb-9ea8-7eac744d5602' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Unique identifier for each feature instance</dd><dt><span>cf_role :</span></dt><dd>trajectory_id</dd><dt><span>comment :</span></dt><dd>Dive number for observations</dd></dl></div><div class='xr-var-data'><pre>array([5], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-266f61c3-434f-46e6-89cf-a3db42179355' class='xr-section-summary-in' type='checkbox'  ><label for='section-266f61c3-434f-46e6-89cf-a3db42179355' class='xr-section-summary' >Data variables: <span>(454)</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>time</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4023d057-67ed-4bb0-8104-869636eb3be7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4023d057-67ed-4bb0-8104-869636eb3be7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64f281e5-ffc7-42d2-bcfd-a559be8a68c0' class='xr-var-data-in' type='checkbox'><label for='data-64f281e5-ffc7-42d2-bcfd-a559be8a68c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>comment :</span></dt><dd>Time of the sample in GMT epoch format</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb4d90bc-564e-4765-8c45-0eeaa15b63bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb4d90bc-564e-4765-8c45-0eeaa15b63bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcac1f54-b233-4e43-ab0f-6d2e13511bdb' class='xr-var-data-in' type='checkbox'><label for='data-bcac1f54-b233-4e43-ab0f-6d2e13511bdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dbar</dd><dt><span>comment :</span></dt><dd>Uncorrected sea-water pressure at pressure sensor</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da918e66-b105-4b00-a9cd-45504a727b88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da918e66-b105-4b00-a9cd-45504a727b88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd8df3e9-d64b-4979-86bc-0ee7d717c87f' class='xr-var-data-in' type='checkbox'><label for='data-fd8df3e9-d64b-4979-86bc-0ee7d717c87f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>comment :</span></dt><dd>Depth below the surface, corrected for average latitude</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>speed_gsm</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a899f818-f2af-4ec7-81b3-52023979ac96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a899f818-f2af-4ec7-81b3-52023979ac96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa4d48e8-d318-4ef3-a506-eb8e221cf20c' class='xr-var-data-in' type='checkbox'><label for='data-fa4d48e8-d318-4ef3-a506-eb8e221cf20c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cm/s</dd><dt><span>comment :</span></dt><dd>Vehicle speed based on gsm</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>glide_angle_gsm</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-94936fa8-cd46-4c5a-80b4-0bf829ff6a6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94936fa8-cd46-4c5a-80b4-0bf829ff6a6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-057539e0-be33-46f9-a994-23a084dc8578' class='xr-var-data-in' type='checkbox'><label for='data-057539e0-be33-46f9-a994-23a084dc8578' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>comment :</span></dt><dd>Glide angle based on gsm</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>horz_speed_gsm</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-44c475a9-a4b4-478d-af8a-b7da9f21e403' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44c475a9-a4b4-478d-af8a-b7da9f21e403' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f92a9f21-6ecd-4cdf-9ed6-46bc06ffade8' class='xr-var-data-in' type='checkbox'><label for='data-f92a9f21-6ecd-4cdf-9ed6-46bc06ffade8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cm/s</dd><dt><span>comment :</span></dt><dd>Vehicle horizontal speed based on gsm</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vert_speed_gsm</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7601dec3-8ba5-4f3c-a379-f4be8303f61d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7601dec3-8ba5-4f3c-a379-f4be8303f61d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04269e3b-c520-43d4-89b2-1fefc62b80a3' class='xr-var-data-in' type='checkbox'><label for='data-04269e3b-c520-43d4-89b2-1fefc62b80a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cm/s</dd><dt><span>comment :</span></dt><dd>Vehicle vertical speed based on gsm</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ctd_pressure</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7215efac-fc46-4c08-ae74-c6d22c55d824' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7215efac-fc46-4c08-ae74-c6d22c55d824' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e3a8184-3fb3-4c77-bc35-d845949a6264' class='xr-var-data-in' type='checkbox'><label for='data-4e3a8184-3fb3-4c77-bc35-d845949a6264' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>dbar</dd><dt><span>comment :</span></dt><dd>Pressure at CTD thermistor</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_raw</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-828518f7-b443-4622-b382-f77a69e3500e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-828518f7-b443-4622-b382-f77a69e3500e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16a1c205-4366-46d6-8208-676abc672a3a' class='xr-var-data-in' type='checkbox'><label for='data-16a1c205-4366-46d6-8208-676abc672a3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_Celsius</dd><dt><span>comment :</span></dt><dd>Uncorrected temperature (in situ)</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_raw_qc</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f43c5a79-039a-41c6-9203-82dffdc7a655' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f43c5a79-039a-41c6-9203-82dffdc7a655' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97c7631a-231c-468b-8d4f-af48c45e7267' class='xr-var-data-in' type='checkbox'><label for='data-97c7631a-231c-468b-8d4f-af48c45e7267' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust each raw temperature value</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conductivity_raw</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fcbdd6a5-3727-40d5-b0c2-12fe7ca48401' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcbdd6a5-3727-40d5-b0c2-12fe7ca48401' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b34b62b-8176-4f52-9949-257aca3dc8ec' class='xr-var-data-in' type='checkbox'><label for='data-0b34b62b-8176-4f52-9949-257aca3dc8ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>S/m</dd><dt><span>comment :</span></dt><dd>Uncorrected conductivity</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conductivity_raw_qc</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ead81d39-ccff-4e9a-99e2-9a1a817257a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ead81d39-ccff-4e9a-99e2-9a1a817257a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09ed3fc5-fd95-4991-b007-892af2862623' class='xr-var-data-in' type='checkbox'><label for='data-09ed3fc5-fd95-4991-b007-892af2862623' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust each raw conductivity value</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity_raw</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2a073aa1-0731-4c06-9ec9-c31d8a1ddd4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a073aa1-0731-4c06-9ec9-c31d8a1ddd4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0421851-48fc-4632-9055-139232c4c297' class='xr-var-data-in' type='checkbox'><label for='data-a0421851-48fc-4632-9055-139232c4c297' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1e-3</dd><dt><span>comment :</span></dt><dd>Uncorrected salinity derived from temperature_raw and conductivity_raw (PSU)</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity_raw_qc</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd077f37-249f-4710-af62-5f389148d477' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd077f37-249f-4710-af62-5f389148d477' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc51e1ce-8d84-48f8-9cbe-179483f2ee40' class='xr-var-data-in' type='checkbox'><label for='data-bc51e1ce-8d84-48f8-9cbe-179483f2ee40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust each raw salinity value</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7d6caee0-e8a0-4c55-9b9a-8ec35b35ab31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d6caee0-e8a0-4c55-9b9a-8ec35b35ab31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e772970d-4d1c-4ee6-aadb-46394909a2b4' class='xr-var-data-in' type='checkbox'><label for='data-e772970d-4d1c-4ee6-aadb-46394909a2b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>degrees_Celsius</dd><dt><span>comment :</span></dt><dd>Termperature (in situ) corrected for thermistor first-order lag</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_qc</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4aaa89e-ea59-48d2-ad74-a6e3c0c7fd9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4aaa89e-ea59-48d2-ad74-a6e3c0c7fd9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47ea8494-ecfd-4eb0-9ee2-ca7c86a8cd14' class='xr-var-data-in' type='checkbox'><label for='data-47ea8494-ecfd-4eb0-9ee2-ca7c86a8cd14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust each corrected temperature value</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conductivity</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0cd4daa5-f437-4813-8398-b42caadf073c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cd4daa5-f437-4813-8398-b42caadf073c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cea7be0b-1bec-4a1c-981a-0e9d20e51355' class='xr-var-data-in' type='checkbox'><label for='data-cea7be0b-1bec-4a1c-981a-0e9d20e51355' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_water_electrical_conductivity</dd><dt><span>units :</span></dt><dd>S/m</dd><dt><span>comment :</span></dt><dd>Conductivity corrected for anomalies</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conductivity_qc</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-97e21ea6-bb51-4f13-b0bf-3f34753dc0a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97e21ea6-bb51-4f13-b0bf-3f34753dc0a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df68f1ac-6ef4-4d17-a647-d33e4b21ef13' class='xr-var-data-in' type='checkbox'><label for='data-df68f1ac-6ef4-4d17-a647-d33e4b21ef13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust each corrected conductivity value</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30457744-bed6-4bc4-9e4b-36e42c8d2553' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30457744-bed6-4bc4-9e4b-36e42c8d2553' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74797886-7a8c-4a71-8721-c47a4b76f0c3' class='xr-var-data-in' type='checkbox'><label for='data-74797886-7a8c-4a71-8721-c47a4b76f0c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd><dt><span>units :</span></dt><dd>1e-3</dd><dt><span>comment :</span></dt><dd>Salinity corrected for thermal-inertia effects (PSU)</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity_qc</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dfd1e335-4568-43c5-9b63-f8075f8c8e22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfd1e335-4568-43c5-9b63-f8075f8c8e22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-675dbb69-2283-49d1-8d16-488a3fe134e3' class='xr-var-data-in' type='checkbox'><label for='data-675dbb69-2283-49d1-8d16-488a3fe134e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust each corrected salinity value</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>buoyancy</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad1af6bb-7a83-4510-bd6b-851d358c09b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad1af6bb-7a83-4510-bd6b-851d358c09b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b343e6b7-a2ec-4950-937c-6814effa54ce' class='xr-var-data-in' type='checkbox'><label for='data-b343e6b7-a2ec-4950-937c-6814effa54ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>g</dd><dt><span>comment :</span></dt><dd>Buoyancy of vehicle, corrected for compression effects</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>speed</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1557bb7b-3169-45d3-9128-681045c5fce6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1557bb7b-3169-45d3-9128-681045c5fce6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24c06d25-451b-4134-8c04-3f2848463d8b' class='xr-var-data-in' type='checkbox'><label for='data-24c06d25-451b-4134-8c04-3f2848463d8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cm/s</dd><dt><span>comment :</span></dt><dd>Vehicle speed based on hdm</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>glide_angle</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b922fcaa-8bef-4889-8ccc-a75b7c2aea0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b922fcaa-8bef-4889-8ccc-a75b7c2aea0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3169644e-7c7b-4afc-a5a4-b3e285f101f7' class='xr-var-data-in' type='checkbox'><label for='data-3169644e-7c7b-4afc-a5a4-b3e285f101f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>comment :</span></dt><dd>Glide angle based on hdm</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>horz_speed</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-90d0ecec-1509-4f2c-8167-b207f89538e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90d0ecec-1509-4f2c-8167-b207f89538e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0967f875-8d14-4f86-aefe-5cb9fc093b65' class='xr-var-data-in' type='checkbox'><label for='data-0967f875-8d14-4f86-aefe-5cb9fc093b65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cm/s</dd><dt><span>comment :</span></dt><dd>Vehicle horizontal speed based on hdm</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vert_speed</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-43570c68-04ee-435c-8d81-c6beacdf1a95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43570c68-04ee-435c-8d81-c6beacdf1a95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-401636bd-ff7b-4125-ab94-9fc9efb34a9f' class='xr-var-data-in' type='checkbox'><label for='data-401636bd-ff7b-4125-ab94-9fc9efb34a9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cm/s</dd><dt><span>comment :</span></dt><dd>Vehicle vertical speed based on hdm</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>speed_qc</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-37c96a8a-ccc8-42e3-8f6d-788e9353a0f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37c96a8a-ccc8-42e3-8f6d-788e9353a0f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cd8ea15-f3c0-4cb1-af7b-e65640e69b50' class='xr-var-data-in' type='checkbox'><label for='data-9cd8ea15-f3c0-4cb1-af7b-e65640e69b50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust each hdm speed value</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sigma_t</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a72c31d-d64a-47ef-95d4-0a816e16b87c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a72c31d-d64a-47ef-95d4-0a816e16b87c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc28ddd4-92e5-4340-82d6-9219404e9075' class='xr-var-data-in' type='checkbox'><label for='data-dc28ddd4-92e5-4340-82d6-9219404e9075' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_water_sigma_t</dd><dt><span>ref_pressure :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>g/m^3</dd><dt><span>comment :</span></dt><dd>Sigma based on density</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca3b0def-216d-4ad5-b2cf-0b699fca0a26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca3b0def-216d-4ad5-b2cf-0b699fca0a26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39bf4eb5-ba22-4424-92f5-0ea5e188f2e0' class='xr-var-data-in' type='checkbox'><label for='data-39bf4eb5-ba22-4424-92f5-0ea5e188f2e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd><dt><span>units :</span></dt><dd>degrees_Celsius</dd><dt><span>comment :</span></dt><dd>Potential temperature based on corrected salinity</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>density</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b5248ed-306b-4951-9eab-167137c5d645' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b5248ed-306b-4951-9eab-167137c5d645' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-357732c0-2ebd-4eb2-b89a-513ffe56d943' class='xr-var-data-in' type='checkbox'><label for='data-357732c0-2ebd-4eb2-b89a-513ffe56d943' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_water_density</dd><dt><span>ref_pressure :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>g/m^3</dd><dt><span>comment :</span></dt><dd>Sea water potential density</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>density_insitu</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-52baf7c6-9d85-448f-afb2-f9d8cbde2280' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52baf7c6-9d85-448f-afb2-f9d8cbde2280' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4aee9955-6486-4edc-bc91-d6afbe92acd1' class='xr-var-data-in' type='checkbox'><label for='data-4aee9955-6486-4edc-bc91-d6afbe92acd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>g/m^3</dd><dt><span>comment :</span></dt><dd>Sea water in-situ density based on pressure</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sigma_theta</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9a2bd237-fb30-4f4f-a43b-0583909fe512' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a2bd237-fb30-4f4f-a43b-0583909fe512' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b330a9d0-0105-4b96-b616-aca29b958b51' class='xr-var-data-in' type='checkbox'><label for='data-b330a9d0-0105-4b96-b616-aca29b958b51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_water_sigma_theta</dd><dt><span>ref_pressure :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>kg/m^3</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sound_velocity</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c89f1b4f-8e90-45fa-a911-b930b8e9576f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c89f1b4f-8e90-45fa-a911-b930b8e9576f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94105f0c-5146-481c-85b5-88d24b874370' class='xr-var-data-in' type='checkbox'><label for='data-94105f0c-5146-481c-85b5-88d24b874370' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>speed_of_sound_in_sea_water</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>comment :</span></dt><dd>Sound velocity</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dissolved_oxygen_sat</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e6befd8-b133-493b-84ea-4aeb2b166b8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e6befd8-b133-493b-84ea-4aeb2b166b8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eca7d26f-89ca-4d9c-b75e-7c0d7460d693' class='xr-var-data-in' type='checkbox'><label for='data-eca7d26f-89ca-4d9c-b75e-7c0d7460d693' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>micromoles/kg</dd><dt><span>comment :</span></dt><dd>Calculated saturation value for oxygen given measured presure and corrected temperature, and salinity</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>east_displacement_gsm</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-218ee14d-5716-4e41-a453-c2509d234b74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-218ee14d-5716-4e41-a453-c2509d234b74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44f1148b-2a25-4ae1-a0e2-1a910ca0811a' class='xr-var-data-in' type='checkbox'><label for='data-44f1148b-2a25-4ae1-a0e2-1a910ca0811a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Eastward displacement from gsm</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>north_displacement_gsm</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5199fe0-7c95-4792-8d0d-28f5364d907f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5199fe0-7c95-4792-8d0d-28f5364d907f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf6fe357-455a-4d41-a866-be145294176e' class='xr-var-data-in' type='checkbox'><label for='data-bf6fe357-455a-4d41-a866-be145294176e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Northward displacement from gsm</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>east_displacement</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e7cdaae1-ad0c-4dcf-972d-0ad1d27b9864' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7cdaae1-ad0c-4dcf-972d-0ad1d27b9864' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cfb09be-8662-4404-8720-2ea83f4d92d1' class='xr-var-data-in' type='checkbox'><label for='data-3cfb09be-8662-4404-8720-2ea83f4d92d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Eastward displacement from hdm</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>north_displacement</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a0f6a09c-2612-457b-8beb-76345b8002c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0f6a09c-2612-457b-8beb-76345b8002c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2648b518-32f1-41a4-8a78-2bb8406ad624' class='xr-var-data-in' type='checkbox'><label for='data-2648b518-32f1-41a4-8a78-2bb8406ad624' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Northward displacement from hdm</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>delta_time_s</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-243d5a17-8a70-42ab-bc1b-9c5c439e993b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-243d5a17-8a70-42ab-bc1b-9c5c439e993b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dd0dcb2-ad1f-41c0-800d-f74424a3510c' class='xr-var-data-in' type='checkbox'><label for='data-4dd0dcb2-ad1f-41c0-800d-f74424a3510c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s</dd><dt><span>comment :</span></dt><dd>Difference between sample times</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>polar_heading</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c36d2c9b-f0af-4685-86b7-02c8c3d05fb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c36d2c9b-f0af-4685-86b7-02c8c3d05fb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc6478a5-e482-4a60-b35a-187451333890' class='xr-var-data-in' type='checkbox'><label for='data-bc6478a5-e482-4a60-b35a-187451333890' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>radians</dd><dt><span>comment :</span></dt><dd>Vehicle heading from the east</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_gsm</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-50c4129d-d5ba-48c8-81cb-471154dd6923' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50c4129d-d5ba-48c8-81cb-471154dd6923' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d051d91-7f7d-4171-ab71-18f81c196d4e' class='xr-var-data-in' type='checkbox'><label for='data-5d051d91-7f7d-4171-ab71-18f81c196d4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>comment :</span></dt><dd>Latitude of the sample based on gsm DAC</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_gsm</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-87b50180-30bb-41a2-addc-d2fe44b357af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87b50180-30bb-41a2-addc-d2fe44b357af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a556db92-eeab-4cc5-ac38-6dbf1ec06580' class='xr-var-data-in' type='checkbox'><label for='data-a556db92-eeab-4cc5-ac38-6dbf1ec06580' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>comment :</span></dt><dd>Longitude of the sample based on gsm DAC</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conservative_temperature</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0eb4bbbe-82c5-4989-a304-dab7c440db26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0eb4bbbe-82c5-4989-a304-dab7c440db26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3e8191e-e346-4056-96fa-d7507eb9fb40' class='xr-var-data-in' type='checkbox'><label for='data-f3e8191e-e346-4056-96fa-d7507eb9fb40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_Celsius</dd><dt><span>comment :</span></dt><dd>Conservative termperature per TEOS-10</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>absolute_salinity</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7ba8e68f-bb88-407e-a8d4-60ba83e44a36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ba8e68f-bb88-407e-a8d4-60ba83e44a36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d95e77d1-f88a-4453-920e-a772c09a0225' class='xr-var-data-in' type='checkbox'><label for='data-d95e77d1-f88a-4453-920e-a772c09a0225' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>g/kg</dd><dt><span>comment :</span></dt><dd>Absolute salinity per TEOS-10</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gsw_sigma0</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7e76a027-3f75-4b30-b65d-4ea16263f953' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e76a027-3f75-4b30-b65d-4ea16263f953' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7971cd0f-ea82-4256-955d-745d6b0a663d' class='xr-var-data-in' type='checkbox'><label for='data-7971cd0f-ea82-4256-955d-745d6b0a663d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_water_sigma_theta</dd><dt><span>ref_pressure :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>kg/m^3</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gsw_sigma3</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78636abf-a73c-4c33-a6be-37eb462587cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78636abf-a73c-4c33-a6be-37eb462587cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26fbf2d5-fa11-45ff-8c32-7fdf967c9298' class='xr-var-data-in' type='checkbox'><label for='data-26fbf2d5-fa11-45ff-8c32-7fdf967c9298' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_water_sigma_theta</dd><dt><span>ref_pressure :</span></dt><dd>3000</dd><dt><span>units :</span></dt><dd>kg/m^3</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gsw_sigma4</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0ad880a-9992-469e-b265-5b47cdd78515' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0ad880a-9992-469e-b265-5b47cdd78515' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a677b01-7eca-406c-93eb-0f97938fbff8' class='xr-var-data-in' type='checkbox'><label for='data-1a677b01-7eca-406c-93eb-0f97938fbff8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_water_sigma_theta</dd><dt><span>ref_pressure :</span></dt><dd>4000</dd><dt><span>units :</span></dt><dd>kg/m^3</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_elaps_t_0000</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-72e9fa07-0176-48a3-afd3-9d75bdf0752c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72e9fa07-0176-48a3-afd3-9d75bdf0752c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ce19e36-6ebb-4715-8469-f3dc759bb854' class='xr-var-data-in' type='checkbox'><label for='data-2ce19e36-6ebb-4715-8469-f3dc759bb854' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Elapsed seconds since start of mission</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_elaps_t</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fbb18842-1c43-4705-a7ff-ff32cf6a99b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbb18842-1c43-4705-a7ff-ff32cf6a99b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0d57942-1e39-493d-b645-8e70c5adf4aa' class='xr-var-data-in' type='checkbox'><label for='data-a0d57942-1e39-493d-b645-8e70c5adf4aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>Elapsed seconds since start of dive</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_depth</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c9e599ec-f839-4768-b13f-2e6373520880' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9e599ec-f839-4768-b13f-2e6373520880' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dd444a5-0771-4e4f-bf9d-d52765c8bb4a' class='xr-var-data-in' type='checkbox'><label for='data-3dd444a5-0771-4e4f-bf9d-d52765c8bb4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>units :</span></dt><dd>cm</dd><dt><span>comment :</span></dt><dd>Measured vertical distance below the surface</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_head</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8e651eed-91fb-4668-9a16-1824cd9fdd4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e651eed-91fb-4668-9a16-1824cd9fdd4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dbb6685-b03e-42cc-b6d5-59971cc2b1f5' class='xr-var-data-in' type='checkbox'><label for='data-4dbb6685-b03e-42cc-b6d5-59971cc2b1f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>comment :</span></dt><dd>Vehicle heading (magnetic)</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_pitchAng</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aeb7d7a6-bc57-49cd-98b4-42e91723db77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aeb7d7a6-bc57-49cd-98b4-42e91723db77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b75364a-3964-45b8-858a-42a80bd5e645' class='xr-var-data-in' type='checkbox'><label for='data-9b75364a-3964-45b8-858a-42a80bd5e645' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>comment :</span></dt><dd>Vehicle pitch</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_rollAng</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d41bd557-8d0c-429c-a992-ce9f8a814f4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d41bd557-8d0c-429c-a992-ce9f8a814f4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-219f57fa-a225-4f61-ba86-fef1559ddcc5' class='xr-var-data-in' type='checkbox'><label for='data-219f57fa-a225-4f61-ba86-fef1559ddcc5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>comment :</span></dt><dd>Vehicle roll</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_pitchCtl</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-306362e0-af6e-438c-b68f-f23b8587dc3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-306362e0-af6e-438c-b68f-f23b8587dc3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3b7d129-9c7a-4fc3-a82c-91e7722e3bc7' class='xr-var-data-in' type='checkbox'><label for='data-e3b7d129-9c7a-4fc3-a82c-91e7722e3bc7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_rollCtl</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dcb48e27-38ef-4478-9de7-952d683f71b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcb48e27-38ef-4478-9de7-952d683f71b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c679ac21-307e-4cd5-b4f0-5873bdc2f42f' class='xr-var-data-in' type='checkbox'><label for='data-c679ac21-307e-4cd5-b4f0-5873bdc2f42f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_vbdCC</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-df2f2b7a-b823-438d-86dd-15138193764f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df2f2b7a-b823-438d-86dd-15138193764f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a8513b0-24fe-4c92-b786-eae87c7902a7' class='xr-var-data-in' type='checkbox'><label for='data-4a8513b0-24fe-4c92-b786-eae87c7902a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_rec</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-306b511c-c540-4c64-b4c6-828c2f83c300' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-306b511c-c540-4c64-b4c6-828c2f83c300' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f3fb980-3fb4-4e1e-b92d-22616807d85a' class='xr-var-data-in' type='checkbox'><label for='data-9f3fb980-3fb4-4e1e-b92d-22616807d85a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_GC_phase</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7a365ad9-88f8-4cca-b8be-8f7faa1d19f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a365ad9-88f8-4cca-b8be-8f7faa1d19f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1fe0eff-e0d0-4f7b-ab8f-2522291bf2d8' class='xr-var-data-in' type='checkbox'><label for='data-d1fe0eff-e0d0-4f7b-ab8f-2522291bf2d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>flag_values :</span></dt><dd>[1 2 3 4 5 6]</dd><dt><span>flag_meanings :</span></dt><dd>pitch vbd active_roll passive_roll roll_back passive</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_sbect_condFreq</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f9495cf3-e937-41c3-a832-22615b42753b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9495cf3-e937-41c3-a832-22615b42753b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6169e8b8-b389-4959-b26f-2ea7844e1d92' class='xr-var-data-in' type='checkbox'><label for='data-6169e8b8-b389-4959-b26f-2ea7844e1d92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>instrument :</span></dt><dd>sbe41</dd><dt><span>comment :</span></dt><dd>As reported by the instrument</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_sbect_tempFreq</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3cb18b73-4a28-4301-8518-07cdb9f63ad7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cb18b73-4a28-4301-8518-07cdb9f63ad7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5bba703-b31e-46bc-8fc1-6f9fbc8d101b' class='xr-var-data-in' type='checkbox'><label for='data-f5bba703-b31e-46bc-8fc1-6f9fbc8d101b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>instrument :</span></dt><dd>sbe41</dd><dt><span>comment :</span></dt><dd>As reported by the instrument</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_sbe43_O2Freq</span></div><div class='xr-var-dims'>(sg_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd7aaea7-7248-41c1-b36e-be18ad3250d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd7aaea7-7248-41c1-b36e-be18ad3250d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa7feb7d-aa08-4d82-afed-ca8c1f378b9f' class='xr-var-data-in' type='checkbox'><label for='data-aa7feb7d-aa08-4d82-afed-ca8c1f378b9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>instrument :</span></dt><dd>sbe43</dd><dt><span>comment :</span></dt><dd>As reported by instrument</dd><dt><span>platform :</span></dt><dd>glider</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_mag_x</span></div><div class='xr-var-dims'>(magnetometer_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc8c8192-d3a3-48f4-ab14-822bdd4a0415' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc8c8192-d3a3-48f4-ab14-822bdd4a0415' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd3f4226-abe2-4e94-8e20-75ee5630d20d' class='xr-var-data-in' type='checkbox'><label for='data-cd3f4226-abe2-4e94-8e20-75ee5630d20d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>magnetometer x</dd><dt><span>platform :</span></dt><dd>glider</dd><dt><span>instrument :</span></dt><dd>magnetometer</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_mag_y</span></div><div class='xr-var-dims'>(magnetometer_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ddca007a-0642-4c3b-ad23-6272922d71d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddca007a-0642-4c3b-ad23-6272922d71d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c88b37ce-0805-4225-ae84-4949c1709631' class='xr-var-data-in' type='checkbox'><label for='data-c88b37ce-0805-4225-ae84-4949c1709631' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>magnetometer y</dd><dt><span>platform :</span></dt><dd>glider</dd><dt><span>instrument :</span></dt><dd>magnetometer</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eng_mag_z</span></div><div class='xr-var-dims'>(magnetometer_data_point)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c445dc27-eb38-44af-b969-3692a7a3514a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c445dc27-eb38-44af-b969-3692a7a3514a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22986ae7-d5ea-42bf-ac51-2e89f25c342e' class='xr-var-data-in' type='checkbox'><label for='data-22986ae7-d5ea-42bf-ac51-2e89f25c342e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>magnetometer z</dd><dt><span>platform :</span></dt><dd>glider</dd><dt><span>instrument :</span></dt><dd>magnetometer</dd></dl></div><div class='xr-var-data'><pre>[340 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DEVICES</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S294</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-61961cc0-3bc5-4875-87b2-e8cf45d47c64' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-61961cc0-3bc5-4875-87b2-e8cf45d47c64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-353fe1f7-dce7-4d96-82c7-7e4e233a7181' class='xr-var-data-in' type='checkbox'><label for='data-353fe1f7-dce7-4d96-82c7-7e4e233a7181' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S294]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DEVICE_SECS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S159</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-053e93c1-06b5-4410-879b-4fcb9663ae8a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-053e93c1-06b5-4410-879b-4fcb9663ae8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-228c262a-036f-48a5-81e8-b6402de26bcf' class='xr-var-data-in' type='checkbox'><label for='data-228c262a-036f-48a5-81e8-b6402de26bcf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S159]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DEVICE_MAMPS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S154</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3370f16e-d8f8-4ac2-885b-40cf43f3681b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3370f16e-d8f8-4ac2-885b-40cf43f3681b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5e84b2e-746e-400b-b92c-61cdb07f2db7' class='xr-var-data-in' type='checkbox'><label for='data-f5e84b2e-746e-400b-b92c-61cdb07f2db7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S154]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SM_GC</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S100</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bffa7138-66d4-4e50-8aa6-b5b6a4e14229' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bffa7138-66d4-4e50-8aa6-b5b6a4e14229' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31049428-3914-4ec5-a97d-2d9b95becd99' class='xr-var-data-in' type='checkbox'><label for='data-31049428-3914-4ec5-a97d-2d9b95becd99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S100]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SENSOR_SECS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S61</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0bcce0d0-9d8b-49ad-b873-0a798294d479' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0bcce0d0-9d8b-49ad-b873-0a798294d479' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b05ffdde-38e0-4714-983b-d553fce02805' class='xr-var-data-in' type='checkbox'><label for='data-b05ffdde-38e0-4714-983b-d553fce02805' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S61]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SENSOR_MAMPS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S60</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9642b934-e251-4df4-9b3c-7ba69c75d86e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9642b934-e251-4df4-9b3c-7ba69c75d86e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6981c15e-a18f-4eab-85b8-16ea88e0538f' class='xr-var-data-in' type='checkbox'><label for='data-6981c15e-a18f-4eab-85b8-16ea88e0538f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S60]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_GPS2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S53</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3b36f66-8286-48bb-b474-633adab6155d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3b36f66-8286-48bb-b474-633adab6155d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de42f68c-6dab-48d3-a306-43f4da66736b' class='xr-var-data-in' type='checkbox'><label for='data-de42f68c-6dab-48d3-a306-43f4da66736b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>String reported in logfile for GPS2 fix (last surface position before dive)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S53]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_GPS1</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S52</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f36af09-aaf7-44c4-95ad-171792ec1b73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f36af09-aaf7-44c4-95ad-171792ec1b73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ced627db-b24d-453c-a2e2-7429454da1c7' class='xr-var-data-in' type='checkbox'><label for='data-ced627db-b24d-453c-a2e2-7429454da1c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>String reported in logfile for GPS1 fix (first surface position before dive)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S52]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_GPS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S52</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6e0bc3c-0592-4575-8e39-b46d6e45ef32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6e0bc3c-0592-4575-8e39-b46d6e45ef32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-504cdb99-ff9d-42c0-a6c6-1936981e5cfe' class='xr-var-data-in' type='checkbox'><label for='data-504cdb99-ff9d-42c0-a6c6-1936981e5cfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>String reported in logfile for GPS fix (first surface position after dive)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S52]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SENSORS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S45</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d958d598-8be6-4469-b520-204af81aa166' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d958d598-8be6-4469-b520-204af81aa166' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37998b5d-c73e-4b97-b59c-2001b78ff076' class='xr-var-data-in' type='checkbox'><label for='data-37998b5d-c73e-4b97-b59c-2001b78ff076' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S45]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_calibcomm</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S39</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0f8efe80-7913-4a33-bfa6-bbd2fc674842' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0f8efe80-7913-4a33-bfa6-bbd2fc674842' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6500b7e-b9ce-40b7-84ea-2aa82fb6ac9c' class='xr-var-data-in' type='checkbox'><label for='data-e6500b7e-b9ce-40b7-84ea-2aa82fb6ac9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S39]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_MHEAD_RNG_PITCHd_Wd</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S36</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-51f10b30-cf5c-478a-b755-1fbf4e00a376' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-51f10b30-cf5c-478a-b755-1fbf4e00a376' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e5f2d74-20d9-4691-87be-a181e9a47997' class='xr-var-data-in' type='checkbox'><label for='data-2e5f2d74-20d9-4691-87be-a181e9a47997' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S36]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_mission_title</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S34</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-79e842c1-fd96-42fe-a79c-3aa02067584b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79e842c1-fd96-42fe-a79c-3aa02067584b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78e504e7-4dec-4a34-b7fd-6e8a50dcbdfc' class='xr-var-data-in' type='checkbox'><label for='data-78e504e7-4dec-4a34-b7fd-6e8a50dcbdfc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Description of mission</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S34]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SM_CCo</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ffea923a-9ca7-49fa-aad8-3248649cb103' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ffea923a-9ca7-49fa-aad8-3248649cb103' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df8976af-8f1e-47f0-935c-1e65ba8f4f80' class='xr-var-data-in' type='checkbox'><label for='data-df8976af-8f1e-47f0-935c-1e65ba8f4f80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_st_secs</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-105c39e3-4767-4b80-ace7-bd22eeb95596' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-105c39e3-4767-4b80-ace7-bd22eeb95596' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bec037e-24cf-4834-aa74-270394063580' class='xr-var-data-in' type='checkbox'><label for='data-9bec037e-24cf-4834-aa74-270394063580' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Start of GC time in GMT epoch format</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_pitch_ctl</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-39d1e0a6-9c17-4090-841e-08863567d03e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39d1e0a6-9c17-4090-841e-08863567d03e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f5d3474-f414-4003-be4f-ed3e7c7f1b06' class='xr-var-data-in' type='checkbox'><label for='data-9f5d3474-f414-4003-be4f-ed3e7c7f1b06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cm</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_vbd_ctl</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-adeb9892-d6f9-4ef0-a06b-daeb4c1a3653' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adeb9892-d6f9-4ef0-a06b-daeb4c1a3653' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e95bf715-bfaa-43e4-a848-28b92b8f2857' class='xr-var-data-in' type='checkbox'><label for='data-e95bf715-bfaa-43e4-a848-28b92b8f2857' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cm</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_pitch_ad_start</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f9e4ced-441e-49f0-90d0-017459f97b2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f9e4ced-441e-49f0-90d0-017459f97b2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e96459bf-c164-4a77-9b60-fca0a6f22780' class='xr-var-data-in' type='checkbox'><label for='data-e96459bf-c164-4a77-9b60-fca0a6f22780' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_roll_ad_start</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6cc2e8d3-2542-4dc7-8e16-4658dd47aab4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cc2e8d3-2542-4dc7-8e16-4658dd47aab4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-629df8fa-ba76-476a-be5a-ffed98a1daf4' class='xr-var-data-in' type='checkbox'><label for='data-629df8fa-ba76-476a-be5a-ffed98a1daf4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_vbd_pot1_ad_start</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5e0b6b00-330f-475b-9d2f-30a219cf843e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e0b6b00-330f-475b-9d2f-30a219cf843e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91193e90-d6c3-4189-ac77-a4f3a1b8fdbd' class='xr-var-data-in' type='checkbox'><label for='data-91193e90-d6c3-4189-ac77-a4f3a1b8fdbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_vbd_pot2_ad_start</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-833501a9-b76b-4a6a-bd08-bc20dc24aff2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-833501a9-b76b-4a6a-bd08-bc20dc24aff2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eaaa06b-9a83-47b7-9995-43bb23e4926e' class='xr-var-data-in' type='checkbox'><label for='data-0eaaa06b-9a83-47b7-9995-43bb23e4926e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_depth</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e91e0fc-e80c-48bb-9b75-d585ab914514' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e91e0fc-e80c-48bb-9b75-d585ab914514' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96e1148c-397b-495e-ad75-e98f6a2fe2e6' class='xr-var-data-in' type='checkbox'><label for='data-96e1148c-397b-495e-ad75-e98f6a2fe2e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_ob_vertv</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1aa7bc0c-e9e2-468c-83d3-853ffbf7f5ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1aa7bc0c-e9e2-468c-83d3-853ffbf7f5ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15b47678-77e4-48d2-9fcb-52b9352a3803' class='xr-var-data-in' type='checkbox'><label for='data-15b47678-77e4-48d2-9fcb-52b9352a3803' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cm/s</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_data_pts</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-495d6e72-4ce7-44d4-8091-45777cff06b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-495d6e72-4ce7-44d4-8091-45777cff06b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fcec139-5f0d-4637-80bf-46d14eefcec2' class='xr-var-data-in' type='checkbox'><label for='data-5fcec139-5f0d-4637-80bf-46d14eefcec2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_end_secs</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd2f0629-3a9e-402a-8332-ec6ccf1ef983' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd2f0629-3a9e-402a-8332-ec6ccf1ef983' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68af7d68-7daa-4b8f-bba9-aa15c183a386' class='xr-var-data-in' type='checkbox'><label for='data-68af7d68-7daa-4b8f-bba9-aa15c183a386' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>End of GC time in GMT epoch format</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_pitch_secs</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb53416c-a274-4cad-abd0-4279687302ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb53416c-a274-4cad-abd0-4279687302ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe44ae35-d26b-4536-b594-052e11e734e2' class='xr-var-data-in' type='checkbox'><label for='data-fe44ae35-d26b-4536-b594-052e11e734e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Elapsed seconds since start of this pitch change</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_roll_secs</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5bb9ac58-cd41-46d7-9ac5-9cde1fd91281' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bb9ac58-cd41-46d7-9ac5-9cde1fd91281' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-792f6cd9-a195-43c2-ae2c-ce8cf6fed3c5' class='xr-var-data-in' type='checkbox'><label for='data-792f6cd9-a195-43c2-ae2c-ce8cf6fed3c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Elapsed seconds since start of this roll change</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_vbd_secs</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca90409b-f13b-4290-a1e1-dc9723825201' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca90409b-f13b-4290-a1e1-dc9723825201' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25e9c4e4-3fe7-4725-b46b-5c00f07866ed' class='xr-var-data-in' type='checkbox'><label for='data-25e9c4e4-3fe7-4725-b46b-5c00f07866ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Elapsed seconds since start of this VBD change</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_vbd_i</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9e54c540-bb24-4c24-b7c0-a281cc39d49d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e54c540-bb24-4c24-b7c0-a281cc39d49d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6f6ef1c-2883-4736-b2e5-11db10b83632' class='xr-var-data-in' type='checkbox'><label for='data-c6f6ef1c-2883-4736-b2e5-11db10b83632' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>A</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_gcphase</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-582a7eb9-3366-4295-92b6-d10512eaf5f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-582a7eb9-3366-4295-92b6-d10512eaf5f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83c7b82e-329d-43e2-9d40-bd82e2621043' class='xr-var-data-in' type='checkbox'><label for='data-83c7b82e-329d-43e2-9d40-bd82e2621043' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>flag_values :</span></dt><dd>[1 2 3 4 5 6]</dd><dt><span>flag_meanings :</span></dt><dd>pitch vbd active_roll passive_roll roll_back passive</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_pitch_i</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8ea1b124-044b-4bae-8261-25ef6d17e338' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ea1b124-044b-4bae-8261-25ef6d17e338' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03effb61-1b13-4f2a-af63-cb220e7fc93d' class='xr-var-data-in' type='checkbox'><label for='data-03effb61-1b13-4f2a-af63-cb220e7fc93d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>A</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_roll_i</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a95c010d-ca8e-48a2-b56a-c8a379bf7c06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a95c010d-ca8e-48a2-b56a-c8a379bf7c06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8215750b-d6b8-401f-ad3e-8056caed88eb' class='xr-var-data-in' type='checkbox'><label for='data-8215750b-d6b8-401f-ad3e-8056caed88eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>A</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_pitch_ad</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e11a3362-796c-4270-b012-57109f96d634' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e11a3362-796c-4270-b012-57109f96d634' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08cb56aa-a3e3-4dd8-a306-4898dd4e5f50' class='xr-var-data-in' type='checkbox'><label for='data-08cb56aa-a3e3-4dd8-a306-4898dd4e5f50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_roll_ad</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e2c6006c-665c-44bd-8922-898bfeffbd0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2c6006c-665c-44bd-8922-898bfeffbd0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-159c4e0d-d26b-4c71-9002-f5fbc2c11e02' class='xr-var-data-in' type='checkbox'><label for='data-159c4e0d-d26b-4c71-9002-f5fbc2c11e02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_vbd_ad</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ac34f565-1ae4-46ad-8321-ca5ed69acbe3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac34f565-1ae4-46ad-8321-ca5ed69acbe3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5162ee1a-7780-4852-aa19-1176237a4b36' class='xr-var-data-in' type='checkbox'><label for='data-5162ee1a-7780-4852-aa19-1176237a4b36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_vbd_pot1_ad</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-07078a68-68f4-474d-aec1-3b07a9e1eccd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07078a68-68f4-474d-aec1-3b07a9e1eccd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06faa1d0-51d5-4d7a-b633-9fdb407ad6d6' class='xr-var-data-in' type='checkbox'><label for='data-06faa1d0-51d5-4d7a-b633-9fdb407ad6d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_vbd_pot2_ad</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7cd30bfe-39e4-4052-bc86-c3e567e49efc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cd30bfe-39e4-4052-bc86-c3e567e49efc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9b27221-921b-4061-a353-a9013dfc3ba9' class='xr-var-data-in' type='checkbox'><label for='data-f9b27221-921b-4061-a353-a9013dfc3ba9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_pitch_retries</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-add9ead3-945a-40f6-867f-090be163547b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-add9ead3-945a-40f6-867f-090be163547b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6aba9702-0f2c-4ba5-b7dc-d728111ffbd2' class='xr-var-data-in' type='checkbox'><label for='data-6aba9702-0f2c-4ba5-b7dc-d728111ffbd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_pitch_errors</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7fbf39e8-6b71-49a3-8b33-9ef2161d73b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fbf39e8-6b71-49a3-8b33-9ef2161d73b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37d87a4e-ca93-481c-88d5-865bf3ec1d6c' class='xr-var-data-in' type='checkbox'><label for='data-37d87a4e-ca93-481c-88d5-865bf3ec1d6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_roll_retries</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d03fb820-535c-46ba-8003-f5585bca277e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d03fb820-535c-46ba-8003-f5585bca277e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe186fd4-952e-4706-92e7-6414042c7cbc' class='xr-var-data-in' type='checkbox'><label for='data-fe186fd4-952e-4706-92e7-6414042c7cbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_roll_errors</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd118ba3-2251-4d5c-94cc-e6ad9530b65b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd118ba3-2251-4d5c-94cc-e6ad9530b65b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f865c7aa-8e1b-4a6a-a465-5b4f0aab1233' class='xr-var-data-in' type='checkbox'><label for='data-f865c7aa-8e1b-4a6a-a465-5b4f0aab1233' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_vbd_retries</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc4fcaf8-35b4-4b96-ae6c-d84ad17eb3ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc4fcaf8-35b4-4b96-ae6c-d84ad17eb3ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3471c25-4986-4b29-b700-c91b15b820c5' class='xr-var-data-in' type='checkbox'><label for='data-b3471c25-4986-4b29-b700-c91b15b820c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_vbd_errors</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f76604b-21c7-44a3-b820-fa9622bacb37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f76604b-21c7-44a3-b820-fa9622bacb37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe9366d0-f7ea-44a3-a7cc-cc35071620c3' class='xr-var-data-in' type='checkbox'><label for='data-fe9366d0-f7ea-44a3-a7cc-cc35071620c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_pitch_volts</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-57d96003-e555-4d6a-9082-c13e5d27851f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57d96003-e555-4d6a-9082-c13e5d27851f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2d5a4ab-9674-4148-966a-44a6ae2c6612' class='xr-var-data-in' type='checkbox'><label for='data-c2d5a4ab-9674-4148-966a-44a6ae2c6612' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_roll_volts</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-df4618ae-7acc-43f8-8fdc-daa8fa4466f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df4618ae-7acc-43f8-8fdc-daa8fa4466f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-828b86c0-c056-4b3b-aa55-eafcf11c0151' class='xr-var-data-in' type='checkbox'><label for='data-828b86c0-c056-4b3b-aa55-eafcf11c0151' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_vbd_volts</span></div><div class='xr-var-dims'>(gc_event)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-05f0350e-8c9a-4c9b-9e97-ec49ea5f8f9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05f0350e-8c9a-4c9b-9e97-ec49ea5f8f9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69b1b556-6660-412a-9aad-4a7bbcb193e4' class='xr-var-data-in' type='checkbox'><label for='data-69b1b556-6660-412a-9aad-4a7bbcb193e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>V</dd></dl></div><div class='xr-var-data'><pre>[32 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_IRIDIUM_FIX</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S31</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36fb4729-7d99-4a36-9cf5-4009358fb2ca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36fb4729-7d99-4a36-9cf5-4009358fb2ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-870cd3e4-e1ea-4f35-9dbe-8ff2ae25a862' class='xr-var-data-in' type='checkbox'><label for='data-870cd3e4-e1ea-4f35-9dbe-8ff2ae25a862' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S31]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ERRORS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S31</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-26fae7e8-c0af-447c-993e-708d417bbd35' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-26fae7e8-c0af-447c-993e-708d417bbd35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d83f68c-38ce-4a6d-af85-5339ffe3f781' class='xr-var-data-in' type='checkbox'><label for='data-8d83f68c-38ce-4a6d-af85-5339ffe3f781' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S31]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_TGT_LATLONG</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S19</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-81763135-31a6-466f-981a-05fd805be64a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-81763135-31a6-466f-981a-05fd805be64a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b97e2cc-e68e-4480-971a-b7b9434048c1' class='xr-var-data-in' type='checkbox'><label for='data-4b97e2cc-e68e-4480-971a-b7b9434048c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S19]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_KALMAN_X</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S19</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c6c274b-f298-4571-bc6d-66894a62f512' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c6c274b-f298-4571-bc6d-66894a62f512' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-604e68b7-8762-473a-8ceb-340ff6905578' class='xr-var-data-in' type='checkbox'><label for='data-604e68b7-8762-473a-8ceb-340ff6905578' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S19]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_KALMAN_Y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S19</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c1ca9ba6-dd01-4d09-a449-bfca5c866a86' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1ca9ba6-dd01-4d09-a449-bfca5c866a86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fe9237d-f349-49f0-867f-6a28e711860a' class='xr-var-data-in' type='checkbox'><label for='data-7fe9237d-f349-49f0-867f-6a28e711860a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S19]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_CFSIZE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S19</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c9f52885-8054-46a9-baa3-614086fa1fba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9f52885-8054-46a9-baa3-614086fa1fba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16430cac-96b1-46aa-bf7c-0f196f06dc05' class='xr-var-data-in' type='checkbox'><label for='data-16430cac-96b1-46aa-bf7c-0f196f06dc05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S19]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_TT8_MAMPS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S17</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb2964d1-fc2f-4bc9-a661-4bdcc06b3550' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb2964d1-fc2f-4bc9-a661-4bdcc06b3550' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-461a18c6-f17d-4528-8e81-9972e0754f49' class='xr-var-data-in' type='checkbox'><label for='data-461a18c6-f17d-4528-8e81-9972e0754f49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S17]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>glider</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S15</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-917614b0-b037-435b-b104-e61092abf994' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-917614b0-b037-435b-b104-e61092abf994' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe45b52e-1011-446e-92cb-b2d52b173523' class='xr-var-data-in' type='checkbox'><label for='data-fe45b52e-1011-446e-92cb-b2d52b173523' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>nodc_name :</span></dt><dd>glider</dd><dt><span>call_sign :</span></dt><dd>SG175</dd><dt><span>long_name :</span></dt><dd>seaglider</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S15]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_CURRENT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S13</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ff69467-350a-443b-a23d-af244001684e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ff69467-350a-443b-a23d-af244001684e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bbc5959-de8b-43f2-aa51-5691240b8f57' class='xr-var-data-in' type='checkbox'><label for='data-0bbc5959-de8b-43f2-aa51-5691240b8f57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S13]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>magnetometer</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S12</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0a7b414d-d8e8-4fb6-8821-169cd57ea81a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a7b414d-d8e8-4fb6-8821-169cd57ea81a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-336504a7-6745-4ebe-9dd5-e3e8cc456748' class='xr-var-data-in' type='checkbox'><label for='data-336504a7-6745-4ebe-9dd5-e3e8cc456748' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>magnetometer</dd><dt><span>make_model :</span></dt><dd>magnetometer</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S12]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SPEED_LIMITS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S11</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25a19bd8-2e92-42a7-ae63-27f6f326df7f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-25a19bd8-2e92-42a7-ae63-27f6f326df7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bc189f7-20c1-47f2-b674-b4123f27b221' class='xr-var-data-in' type='checkbox'><label for='data-8bc189f7-20c1-47f2-b674-b4123f27b221' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S11]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_KALMAN_CONTROL</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S11</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f7b7ef13-3cec-457f-a6e6-8c2eefd00f29' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f7b7ef13-3cec-457f-a6e6-8c2eefd00f29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73806e4d-160f-4f22-a32e-412189c9715c' class='xr-var-data-in' type='checkbox'><label for='data-73806e4d-160f-4f22-a32e-412189c9715c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S11]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_24V_AH</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S11</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-beb0d762-7697-47db-a4c8-ead2ba46130e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-beb0d762-7697-47db-a4c8-ead2ba46130e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac19c7db-26f1-45a2-a6a7-bdba61b5bb96' class='xr-var-data-in' type='checkbox'><label for='data-ac19c7db-26f1-45a2-a6a7-bdba61b5bb96' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S11]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_10V_AH</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S11</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d26f47c-2ef1-440a-969c-747b608b63f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3d26f47c-2ef1-440a-969c-747b608b63f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-003d2416-b722-4f71-b166-065626976de9' class='xr-var-data-in' type='checkbox'><label for='data-003d2416-b722-4f71-b166-065626976de9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S11]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ALTIM_BOTTOM_PING</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S10</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-589e9fb6-dd94-4ac5-9a0a-25f2bdacbc7e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-589e9fb6-dd94-4ac5-9a0a-25f2bdacbc7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c0e8024-009f-4c81-8292-ae19eb004296' class='xr-var-data-in' type='checkbox'><label for='data-6c0e8024-009f-4c81-8292-ae19eb004296' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S10]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_state_secs</span></div><div class='xr-var-dims'>(gc_state)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e134e4cb-137d-4347-9897-7645508a238a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e134e4cb-137d-4347-9897-7645508a238a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30c8ace0-4511-493d-a3d2-22e730a20790' class='xr-var-data-in' type='checkbox'><label for='data-30c8ace0-4511-493d-a3d2-22e730a20790' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Start of STATE time in GMT epoch format</dd></dl></div><div class='xr-var-data'><pre>[10 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_state_state</span></div><div class='xr-var-dims'>(gc_state)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cb5f3a1e-a6c7-41e3-b243-eb5c0e0498b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb5f3a1e-a6c7-41e3-b243-eb5c0e0498b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02b11a8d-6fae-47cb-92ac-01aafa9f3b88' class='xr-var-data-in' type='checkbox'><label for='data-02b11a8d-6fae-47cb-92ac-01aafa9f3b88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Name of the GC state</dd></dl></div><div class='xr-var-data'><pre>[10 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gc_state_eop_code</span></div><div class='xr-var-dims'>(gc_state)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-62b48f66-1d3e-40f0-9841-a14e0cde6945' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62b48f66-1d3e-40f0-9841-a14e0cde6945' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4ec4807-7716-4a6e-83d0-66a3aa18a58f' class='xr-var-data-in' type='checkbox'><label for='data-c4ec4807-7716-4a6e-83d0-66a3aa18a58f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>GC states end of phase (EOP) code</dd></dl></div><div class='xr-var-data'><pre>[10 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DATA_FILE_SIZE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S9</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b972603b-3285-4a53-87b0-4ef3758d0ce9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b972603b-3285-4a53-87b0-4ef3758d0ce9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6efb16b4-9716-483d-b4ea-2ab6eb9ef12c' class='xr-var-data-in' type='checkbox'><label for='data-6efb16b4-9716-483d-b4ea-2ab6eb9ef12c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S9]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ALTIM_TOP_PING</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S8</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a48be2fb-a67f-476b-97e5-dd0ee74253eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a48be2fb-a67f-476b-97e5-dd0ee74253eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2ab65be-d180-4f1f-bd5b-bb7d019e4d8c' class='xr-var-data-in' type='checkbox'><label for='data-d2ab65be-d180-4f1f-bd5b-bb7d019e4d8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S8]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_CAP_FILE_SIZE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S7</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b29890b-b914-41bf-92cc-4afebc235820' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b29890b-b914-41bf-92cc-4afebc235820' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8084d31a-14bc-4e17-a295-34f211d7c896' class='xr-var-data-in' type='checkbox'><label for='data-8084d31a-14bc-4e17-a295-34f211d7c896' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S7]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_MEM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S6</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-12abd9fe-87f8-4933-9d8a-f3138d488bec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12abd9fe-87f8-4933-9d8a-f3138d488bec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a09884e-1c6d-4544-9b73-342153778570' class='xr-var-data-in' type='checkbox'><label for='data-2a09884e-1c6d-4544-9b73-342153778570' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S6]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_TGT_NAME</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S5</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-afc50b79-688f-4c99-a6c4-240cec94d40f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-afc50b79-688f-4c99-a6c4-240cec94d40f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b26fd81-cb32-4c75-816e-25daa60974a6' class='xr-var-data-in' type='checkbox'><label for='data-8b26fd81-cb32-4c75-816e-25daa60974a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S5]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sbe41</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S5</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e9bd5f21-3f09-4070-9ec1-501998c9232a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9bd5f21-3f09-4070-9ec1-501998c9232a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10f61a12-1d1a-4898-bf25-c1091fb1ea80' class='xr-var-data-in' type='checkbox'><label for='data-10f61a12-1d1a-4898-bf25-c1091fb1ea80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>underway thermosalinograph</dd><dt><span>nodc_name :</span></dt><dd>thermosalinograph</dd><dt><span>make_model :</span></dt><dd>unpumped Seabird SBE41</dd><dt><span>ancillary_variables :</span></dt><dd>sg_cal_t_g sg_cal_t_h sg_cal_t_i sg_cal_t_j sg_cal_c_g sg_cal_c_h sg_cal_c_i sg_cal_c_j </dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S5]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sbe43</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S5</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bffa6899-4d62-42bd-b5c5-af2024573cee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bffa6899-4d62-42bd-b5c5-af2024573cee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e23eccbf-cc4b-4ea8-93eb-37cc9b5198c5' class='xr-var-data-in' type='checkbox'><label for='data-e23eccbf-cc4b-4ea8-93eb-37cc9b5198c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>underway oxygen sensor</dd><dt><span>nodc_name :</span></dt><dd>oxygen sensor</dd><dt><span>make_model :</span></dt><dd>unpumped Seabird SBE43</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S5]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_id_str</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S3</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f3229dd9-5cc2-4e31-829a-798a6be3f36a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3229dd9-5cc2-4e31-829a-798a6be3f36a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a3510d4-f6dc-4cf2-85b3-1046a2cece53' class='xr-var-data-in' type='checkbox'><label for='data-3a3510d4-f6dc-4cf2-85b3-1046a2cece53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Three digit vehicle identification string</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S3]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_gps_time</span></div><div class='xr-var-dims'>(gps_info)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-33322761-3145-43e0-84aa-d8e905deb3f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33322761-3145-43e0-84aa-d8e905deb3f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-295a9b67-4aa6-4afd-8093-5fc956d0186e' class='xr-var-data-in' type='checkbox'><label for='data-295a9b67-4aa6-4afd-8093-5fc956d0186e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>comment :</span></dt><dd>GPS times in GMT epoch format</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_gps_lat</span></div><div class='xr-var-dims'>(gps_info)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0d0ffc4a-1acf-418c-a9ab-dc3c80af399c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d0ffc4a-1acf-418c-a9ab-dc3c80af399c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec52dd78-0aed-4d54-864f-239a015f21f7' class='xr-var-data-in' type='checkbox'><label for='data-ec52dd78-0aed-4d54-864f-239a015f21f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>comment :</span></dt><dd>GPS latitudes</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_gps_lon</span></div><div class='xr-var-dims'>(gps_info)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6ba8d408-eab2-42c9-8fec-11376fd82805' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ba8d408-eab2-42c9-8fec-11376fd82805' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce813745-f9b6-4b51-b9a0-9534442255ea' class='xr-var-data-in' type='checkbox'><label for='data-ce813745-f9b6-4b51-b9a0-9534442255ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>comment :</span></dt><dd>GPS longitudes</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_gps_first_fix_time</span></div><div class='xr-var-dims'>(gps_info)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd92510b-6082-46f8-aaf8-faba9af7bb05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd92510b-6082-46f8-aaf8-faba9af7bb05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bbe50ec-d03f-418b-a3f5-84eae1418ccf' class='xr-var-data-in' type='checkbox'><label for='data-2bbe50ec-d03f-418b-a3f5-84eae1418ccf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Time to first fix</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_gps_final_fix_time</span></div><div class='xr-var-dims'>(gps_info)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78cf0115-fe09-4945-8524-badc2e06fa31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78cf0115-fe09-4945-8524-badc2e06fa31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-832777fe-89d6-44d8-8683-2f03f9faf9fc' class='xr-var-data-in' type='checkbox'><label for='data-832777fe-89d6-44d8-8683-2f03f9faf9fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Time to fix</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_gps_hdop</span></div><div class='xr-var-dims'>(gps_info)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-523674db-b22d-49f5-83ce-a816c0364041' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-523674db-b22d-49f5-83ce-a816c0364041' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acbf42d6-ca7c-458d-b999-77776cb7dc55' class='xr-var-data-in' type='checkbox'><label for='data-acbf42d6-ca7c-458d-b999-77776cb7dc55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Horizontal Dilution Of Precision</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_gps_magvar</span></div><div class='xr-var-dims'>(gps_info)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-244ecf28-436a-4c19-ac09-0487d72f8902' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-244ecf28-436a-4c19-ac09-0487d72f8902' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14f9047c-69fb-4b9e-aca6-8e5a6681333c' class='xr-var-data-in' type='checkbox'><label for='data-14f9047c-69fb-4b9e-aca6-8e5a6681333c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>comment :</span></dt><dd>Magnetic variance (degrees, positive E)</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_gps_driftspeed</span></div><div class='xr-var-dims'>(gps_info)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a63a165c-93a3-492a-b48b-903f8305a970' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a63a165c-93a3-492a-b48b-903f8305a970' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acbe04e3-bea9-435b-964f-48b03ff94132' class='xr-var-data-in' type='checkbox'><label for='data-acbe04e3-bea9-435b-964f-48b03ff94132' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>knots</dd><dt><span>comment :</span></dt><dd>Estimated surface drift speed</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_gps_driftheading</span></div><div class='xr-var-dims'>(gps_info)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-09c84433-1561-47e7-955d-fb9cc8bd9821' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09c84433-1561-47e7-955d-fb9cc8bd9821' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f6bf7a3-5bea-49da-82f5-22745570de8e' class='xr-var-data-in' type='checkbox'><label for='data-8f6bf7a3-5bea-49da-82f5-22745570de8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees true</dd><dt><span>comment :</span></dt><dd>Estimated drift direction</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_gps_n_satellites</span></div><div class='xr-var-dims'>(gps_info)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00f6358b-f5c1-4f4f-8604-2da43dafd292' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00f6358b-f5c1-4f4f-8604-2da43dafd292' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc1005b1-00f6-44f0-9c02-f4a67c1c07a1' class='xr-var-data-in' type='checkbox'><label for='data-fc1005b1-00f6-44f0-9c02-f4a67c1c07a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Number of satellites contributing to the final fix</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_gps_hpe</span></div><div class='xr-var-dims'>(gps_info)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b19c202f-615b-45d5-9d3d-37b013f17ce0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b19c202f-615b-45d5-9d3d-37b013f17ce0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6d9b578-cb84-4121-afc6-0dcd718f958c' class='xr-var-data-in' type='checkbox'><label for='data-f6d9b578-cb84-4121-afc6-0dcd718f958c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Horizontal position error</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_gps_qc</span></div><div class='xr-var-dims'>(gps_info)</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-407c3630-47ca-42a1-be7d-0f16f070d1d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-407c3630-47ca-42a1-be7d-0f16f070d1d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69dfc91a-f0bb-4960-b33f-aba125497bf7' class='xr-var-data-in' type='checkbox'><label for='data-69dfc91a-f0bb-4960-b33f-aba125497bf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust the GPS1 information</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd></dl></div><div class='xr-var-data'><pre>[3 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_XPDR_PINGS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S2</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-63296f52-9cb2-4592-8905-dcbf4e4d0fa1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63296f52-9cb2-4592-8905-dcbf4e4d0fa1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d0721ca-2b8c-4273-acdb-94643741b8d6' class='xr-var-data-in' type='checkbox'><label for='data-9d0721ca-2b8c-4273-acdb-94643741b8d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S2]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GPS1_qc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c1cfcc0b-24eb-4b0a-9e36-2bc27efa8441' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1cfcc0b-24eb-4b0a-9e36-2bc27efa8441' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-974cbb80-5023-455f-8b86-86ab2c48e000' class='xr-var-data-in' type='checkbox'><label for='data-974cbb80-5023-455f-8b86-86ab2c48e000' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust the GPS1 information</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GPS2_qc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c15316dd-4aed-4307-a297-28993d53c06c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c15316dd-4aed-4307-a297-28993d53c06c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6b25173-e9eb-4595-b634-cd670ce39203' class='xr-var-data-in' type='checkbox'><label for='data-b6b25173-e9eb-4595-b634-cd670ce39203' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust the GPS2 information</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GPSE_qc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a58c7b7-aa93-4705-85ae-81a5d8727feb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a58c7b7-aa93-4705-85ae-81a5d8727feb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4204de0-1763-454c-a23f-026885c6989f' class='xr-var-data-in' type='checkbox'><label for='data-f4204de0-1763-454c-a23f-026885c6989f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust the final GPS information</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CTD_qc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef2c2d3b-5701-4f37-a789-db417b1b0af6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef2c2d3b-5701-4f37-a789-db417b1b0af6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5097991-b371-4d1f-ae7e-403b8554a10e' class='xr-var-data-in' type='checkbox'><label for='data-e5097991-b371-4d1f-ae7e-403b8554a10e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust the corrected CTD values</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hdm_qc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c24098e-4355-48a5-8042-c7c3ecf5ab77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c24098e-4355-48a5-8042-c7c3ecf5ab77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beff5cca-051c-447e-a3ff-09d86bd2ac0c' class='xr-var-data-in' type='checkbox'><label for='data-beff5cca-051c-447e-a3ff-09d86bd2ac0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether corrected temperatures, salinities, and velocities from the hydrodynamic model converged on a consistent solution</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_curr_qc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b31643b-4bea-4300-b882-d3da2e8b7207' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b31643b-4bea-4300-b882-d3da2e8b7207' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20b028d7-5d06-4640-a6c4-a274ae10baef' class='xr-var-data-in' type='checkbox'><label for='data-20b028d7-5d06-4640-a6c4-a274ae10baef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust the surface current values</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth_avg_curr_qc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0c087ae1-7679-42e8-a439-56de33420403' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c087ae1-7679-42e8-a439-56de33420403' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5fe473a-0eb0-4929-b982-7426cb49c37f' class='xr-var-data-in' type='checkbox'><label for='data-a5fe473a-0eb0-4929-b982-7426cb49c37f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust the dive depth-average current values and displacements</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latlong_qc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78903806-96ec-487f-adea-f318e27f378f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78903806-96ec-487f-adea-f318e27f378f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd940ad8-541c-4635-ae65-0bf2bfe63eb9' class='xr-var-data-in' type='checkbox'><label for='data-cd940ad8-541c-4635-ae65-0bf2bfe63eb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to trust the dive estimated latitude and longitude estimates</dd><dt><span>flag_values :</span></dt><dd>0 1 2 3 4 5 6 8 9</dd><dt><span>flag_meanings :</span></dt><dd>QC_NO_CHANGE QC_GOOD QC_PROBABLY_GOOD QC_PROBABLY_BAD QC_BAD QC_CHANGED QC_UNSAMPLED QC_INTERPOLATED QC_MISSING</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_mass</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-27985be5-2c72-41e4-802d-3a6d08568a01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27985be5-2c72-41e4-802d-3a6d08568a01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57c77b46-181c-4163-b0e4-2737b696c9c0' class='xr-var-data-in' type='checkbox'><label for='data-57c77b46-181c-4163-b0e4-2737b696c9c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg</dd><dt><span>comment :</span></dt><dd>Mass of the glider</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_t_g</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6f8c6849-6179-4e72-9f41-3c592a5edb7e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6f8c6849-6179-4e72-9f41-3c592a5edb7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63871410-f6c4-427b-941f-2104709db4ee' class='xr-var-data-in' type='checkbox'><label for='data-63871410-f6c4-427b-941f-2104709db4ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_t_h</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c42897e4-8c63-47e8-8b2b-062658981e22' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c42897e4-8c63-47e8-8b2b-062658981e22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a6ba75c-b009-40be-8f7e-f06fed192aeb' class='xr-var-data-in' type='checkbox'><label for='data-7a6ba75c-b009-40be-8f7e-f06fed192aeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_t_i</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8464ca21-b50e-40d4-b2f7-9e17cdfded24' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8464ca21-b50e-40d4-b2f7-9e17cdfded24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-155428f4-c552-46f2-91dd-0bf3c1860093' class='xr-var-data-in' type='checkbox'><label for='data-155428f4-c552-46f2-91dd-0bf3c1860093' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_t_j</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0134741e-15de-4fe4-a4b3-0e43be691744' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0134741e-15de-4fe4-a4b3-0e43be691744' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bebc10c6-63bd-4f9e-8f98-d88d57bfe4cd' class='xr-var-data-in' type='checkbox'><label for='data-bebc10c6-63bd-4f9e-8f98-d88d57bfe4cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_c_g</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-23d1ee51-6dfb-427a-8cde-9789920e03e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-23d1ee51-6dfb-427a-8cde-9789920e03e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08686c78-6817-4dee-878b-6ea0048e337b' class='xr-var-data-in' type='checkbox'><label for='data-08686c78-6817-4dee-878b-6ea0048e337b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_c_h</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c06f0700-39b6-46f0-9a24-ad3a23073a13' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c06f0700-39b6-46f0-9a24-ad3a23073a13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-828bfb4a-68b6-41e6-9115-a8be9f9f77a9' class='xr-var-data-in' type='checkbox'><label for='data-828bfb4a-68b6-41e6-9115-a8be9f9f77a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_c_i</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6fa12dd9-59e9-422d-a00a-925e484987f1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6fa12dd9-59e9-422d-a00a-925e484987f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b8229a1-76cd-4098-8104-0f3610f8a104' class='xr-var-data-in' type='checkbox'><label for='data-4b8229a1-76cd-4098-8104-0f3610f8a104' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_c_j</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a50533e-3259-45ec-aecd-d93c2c566ed1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a50533e-3259-45ec-aecd-d93c2c566ed1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79fa7d0d-63d4-4eab-a1da-d6c1f23833a7' class='xr-var-data-in' type='checkbox'><label for='data-79fa7d0d-63d4-4eab-a1da-d6c1f23833a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_cpcor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3ef976c-6c61-4983-932b-4d56b5c76867' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3ef976c-6c61-4983-932b-4d56b5c76867' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7a03225-dcf5-4d5c-9971-c02f67be010b' class='xr-var-data-in' type='checkbox'><label for='data-f7a03225-dcf5-4d5c-9971-c02f67be010b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Nominal compression factor of conductivity tube with pressure</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_ctcor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-426def6a-c063-4ef3-b9ab-bfe66dc1a7fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-426def6a-c063-4ef3-b9ab-bfe66dc1a7fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cebe529-ba32-48a3-980c-98bc41884cad' class='xr-var-data-in' type='checkbox'><label for='data-6cebe529-ba32-48a3-980c-98bc41884cad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Nominal thermal expansion factor of a cube of boro-silicate glass</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sg_configuration</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c827e3d0-6acb-4a23-ae2b-e53bae70b862' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c827e3d0-6acb-4a23-ae2b-e53bae70b862' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40cc8ff7-f584-4728-8c9d-3059d97c7d7c' class='xr-var-data-in' type='checkbox'><label for='data-40cc8ff7-f584-4728-8c9d-3059d97c7d7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>The general configuration of the glider</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sg_ct_type</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d682fc39-4cea-488f-b4fe-f288fc12915a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d682fc39-4cea-488f-b4fe-f288fc12915a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbd24b77-9abe-41ba-8914-81d2007051f3' class='xr-var-data-in' type='checkbox'><label for='data-fbd24b77-9abe-41ba-8914-81d2007051f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>flag</dd><dt><span>comment :</span></dt><dd>The type of CT sensor (original, gun, pumped)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sg_vehicle_geometry</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a94c24b3-c3de-4d22-a6c3-e9fb150e5b2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a94c24b3-c3de-4d22-a6c3-e9fb150e5b2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a1fe6ca-ac7d-43e8-92ce-aae172e99cae' class='xr-var-data-in' type='checkbox'><label for='data-6a1fe6ca-ac7d-43e8-92ce-aae172e99cae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Various size measurements of the vehicle itself</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sg_sensor_geometry</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d565a7e8-4fb9-47a9-9d27-b83240223f1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d565a7e8-4fb9-47a9-9d27-b83240223f1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7282d4fd-893f-49a9-a268-7e5fb751a5fc' class='xr-var-data-in' type='checkbox'><label for='data-7282d4fd-893f-49a9-a268-7e5fb751a5fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>How the CT is mounted with respect to the SG pressure sensor</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sg_ct_geometry</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-181730e6-d7a8-4daf-b702-1d4f5bea2b6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-181730e6-d7a8-4daf-b702-1d4f5bea2b6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69e2fa04-ebb2-4e03-8a45-acf2690f1a13' class='xr-var-data-in' type='checkbox'><label for='data-69e2fa04-ebb2-4e03-8a45-acf2690f1a13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>The geometry of the CT sensor itself</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_unpumped</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92bba293-bef5-4287-9151-2db62618cfbd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92bba293-bef5-4287-9151-2db62618cfbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-447b55e6-e722-4c6f-b5f1-0f09800f752f' class='xr-var-data-in' type='checkbox'><label for='data-447b55e6-e722-4c6f-b5f1-0f09800f752f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>flag</dd><dt><span>comment :</span></dt><dd>Whether the CTD is pumped or not</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_inlet_bl_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bdfa2865-d79e-4772-b119-030b70dbc212' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdfa2865-d79e-4772-b119-030b70dbc212' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92940483-0ec1-4fed-9afd-85f0ec878591' class='xr-var-data-in' type='checkbox'><label for='data-92940483-0ec1-4fed-9afd-85f0ec878591' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Scale factor for inlet boundary layer formation</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_Nu_0i</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42fa38c9-fc94-45e7-84cb-d4eb6dc3661b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42fa38c9-fc94-45e7-84cb-d4eb6dc3661b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be69e054-dd18-42f2-b252-a2eb145b8223' class='xr-var-data-in' type='checkbox'><label for='data-be69e054-dd18-42f2-b252-a2eb145b8223' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Scale factor for unmodeled flow disruption to interior flow Biot number</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_Nu_0e</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-62cf2c58-ea85-41a5-939d-7461765030d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62cf2c58-ea85-41a5-939d-7461765030d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29ef3853-45ca-49c8-9a70-c397d907a3f1' class='xr-var-data-in' type='checkbox'><label for='data-29ef3853-45ca-49c8-9a70-c397d907a3f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Scale factor for unmodeled flow disruption to exterior flow Biot number</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_modes</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0a115917-9c4d-452b-b700-12b0e3031bba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a115917-9c4d-452b-b700-12b0e3031bba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e90febc-e9a5-4085-9f7d-3e76d772512f' class='xr-var-data-in' type='checkbox'><label for='data-3e90febc-e9a5-4085-9f7d-3e76d772512f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Number of modes to use for thermal-inertia correction</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_tau_T</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-33d7f0f7-b7fa-4a71-a845-bc4e72f1832e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33d7f0f7-b7fa-4a71-a845-bc4e72f1832e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55df21c7-317c-479c-bc3f-8475c82f3e18' class='xr-var-data-in' type='checkbox'><label for='data-55df21c7-317c-479c-bc3f-8475c82f3e18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Thermistor response (from Seabird)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_solve_flare_apogee_speed</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c5449993-2dae-4ae8-8944-200d72fa07a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5449993-2dae-4ae8-8944-200d72fa07a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0650a052-7b2a-4aa5-906a-3920e1454d3c' class='xr-var-data-in' type='checkbox'><label for='data-0650a052-7b2a-4aa5-906a-3920e1454d3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to solve for accelerated speeds during flare and apogee</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_vbdbias</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b38d0f6e-ba4c-465b-9d16-71ba84cc9e56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b38d0f6e-ba4c-465b-9d16-71ba84cc9e56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-771d1e7e-069a-4515-a3fe-62aa46f831ac' class='xr-var-data-in' type='checkbox'><label for='data-771d1e7e-069a-4515-a3fe-62aa46f831ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cc</dd><dt><span>comment :</span></dt><dd>VBD bias</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbe_temp_freq_offset</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-839cd2b1-b0ef-4885-8076-1fbd636d1559' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-839cd2b1-b0ef-4885-8076-1fbd636d1559' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa920066-75ff-4f46-b1d7-f6f6c4ed0806' class='xr-var-data-in' type='checkbox'><label for='data-aa920066-75ff-4f46-b1d7-f6f6c4ed0806' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>comment :</span></dt><dd>Temperature frequency offset</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_temp_bias</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-494206b4-dfc2-4848-a322-50d2a2bbe2a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-494206b4-dfc2-4848-a322-50d2a2bbe2a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f000271-5bbd-4bb7-a487-eba7ea1bb2b6' class='xr-var-data-in' type='checkbox'><label for='data-8f000271-5bbd-4bb7-a487-eba7ea1bb2b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_Celsius</dd><dt><span>comment :</span></dt><dd>Temperature bias</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbe_cond_freq_offset</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-86952d79-22af-48e0-a42c-834c4dfbd423' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86952d79-22af-48e0-a42c-834c4dfbd423' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fa4c61a-f510-450c-b6c9-50cd265347b4' class='xr-var-data-in' type='checkbox'><label for='data-7fa4c61a-f510-450c-b6c9-50cd265347b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Hz</dd><dt><span>comment :</span></dt><dd>Conductivity frequency offset</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_cond_bias</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e546fd31-322e-45a9-9c2b-9a1b2e449037' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e546fd31-322e-45a9-9c2b-9a1b2e449037' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9d1fd1f-0bde-4314-8a9b-3f36e1d3b74e' class='xr-var-data-in' type='checkbox'><label for='data-d9d1fd1f-0bde-4314-8a9b-3f36e1d3b74e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mS/cm</dd><dt><span>comment :</span></dt><dd> Conductivity bias</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_pitchbias</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2ece68c3-89a3-4afd-a8fa-3eb7ede04ebc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ece68c3-89a3-4afd-a8fa-3eb7ede04ebc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32098da0-bea8-4309-bc30-8001e645132f' class='xr-var-data-in' type='checkbox'><label for='data-32098da0-bea8-4309-bc30-8001e645132f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>comment :</span></dt><dd>Pitch sensor bias</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_rollbias</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9bf39b74-6991-4674-8612-a2a3aec885f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bf39b74-6991-4674-8612-a2a3aec885f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62dafbc1-32d3-43ed-88f6-f725204b8754' class='xr-var-data-in' type='checkbox'><label for='data-62dafbc1-32d3-43ed-88f6-f725204b8754' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>comment :</span></dt><dd>Roll sensor bias</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_depth_bias</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4fd97abe-a354-475c-9ddc-8fdf9625ce18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fd97abe-a354-475c-9ddc-8fdf9625ce18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3b58d43-ae63-4120-aa51-6c0674986214' class='xr-var-data-in' type='checkbox'><label for='data-c3b58d43-ae63-4120-aa51-6c0674986214' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Depth bias of pressure sensor</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_min_stall_speed</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc5c3b76-c0f4-472a-9022-818fa5c0e42b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc5c3b76-c0f4-472a-9022-818fa5c0e42b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-439bc331-dff1-44af-9c1b-76684a1af831' class='xr-var-data-in' type='checkbox'><label for='data-439bc331-dff1-44af-9c1b-76684a1af831' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cm/s</dd><dt><span>comment :</span></dt><dd>Minimum likely speed for vehicle, else stalled</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_max_stall_speed</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-37ea1337-c963-41ec-bbca-b756c93796a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37ea1337-c963-41ec-bbca-b756c93796a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-674d385f-636c-44d8-bcd6-960aef3cf55a' class='xr-var-data-in' type='checkbox'><label for='data-674d385f-636c-44d8-bcd6-960aef3cf55a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cm/s</dd><dt><span>comment :</span></dt><dd>Maximum likely speed for vehicle, else stalled</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_min_stall_angle</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0bb36f44-202a-4c03-9d35-006d9a5e9220' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bb36f44-202a-4c03-9d35-006d9a5e9220' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97ee5a94-0bec-4bdb-afa3-e87206023340' class='xr-var-data-in' type='checkbox'><label for='data-97ee5a94-0bec-4bdb-afa3-e87206023340' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees</dd><dt><span>comment :</span></dt><dd>Minimum flight angle, else stalled</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_bound_action</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0f65884a-9266-4a2b-b6e6-284fcb13d7f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f65884a-9266-4a2b-b6e6-284fcb13d7f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-783bbbf1-8950-45d6-aa09-614b03a701fe' class='xr-var-data-in' type='checkbox'><label for='data-783bbbf1-8950-45d6-aa09-614b03a701fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>What QC to assert when a bound is exceeded</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_spike_action</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-52a60349-cf68-4aea-b454-8d958b34015f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52a60349-cf68-4aea-b454-8d958b34015f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9644112-338a-4b79-b038-a2f44dfc5aed' class='xr-var-data-in' type='checkbox'><label for='data-f9644112-338a-4b79-b038-a2f44dfc5aed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>What QC to assert when a spike is detected</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_temp_min</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bceb32e4-8b67-48d5-aaae-be53c2b18ffb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bceb32e4-8b67-48d5-aaae-be53c2b18ffb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-427af00e-3db1-4bbe-a8ab-9095fbfe88f1' class='xr-var-data-in' type='checkbox'><label for='data-427af00e-3db1-4bbe-a8ab-9095fbfe88f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_Celsius</dd><dt><span>comment :</span></dt><dd>Minimum allowable temperature</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_temp_max</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-806766db-9510-4a78-86ed-d7e6a2bf0c57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-806766db-9510-4a78-86ed-d7e6a2bf0c57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ae71f73-409b-4909-adea-b5bfa05dbf6a' class='xr-var-data-in' type='checkbox'><label for='data-5ae71f73-409b-4909-adea-b5bfa05dbf6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_Celsius</dd><dt><span>comment :</span></dt><dd>Maximum allowable temperature</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_temp_spike_depth</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-749904c9-f296-4ab6-8205-536a5971908a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-749904c9-f296-4ab6-8205-536a5971908a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67cd3a59-e999-4747-bfa7-c054abfbeb44' class='xr-var-data-in' type='checkbox'><label for='data-67cd3a59-e999-4747-bfa7-c054abfbeb44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Depth for deep temperature spike test</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_temp_spike_shallow</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b01dbb0-9706-4e99-bc5a-855532a84ff7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b01dbb0-9706-4e99-bc5a-855532a84ff7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8b5da2b-c3c1-46de-b025-f48d20e593ff' class='xr-var-data-in' type='checkbox'><label for='data-b8b5da2b-c3c1-46de-b025-f48d20e593ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_Celsius/meter</dd><dt><span>comment :</span></dt><dd>Allowable temperature spike in shallow deep water</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_temp_spike_deep</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-67113e03-9f97-4bc3-a1b5-3e1253a239d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67113e03-9f97-4bc3-a1b5-3e1253a239d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4aae6ad2-e1f3-45c6-9491-22f30862d342' class='xr-var-data-in' type='checkbox'><label for='data-4aae6ad2-e1f3-45c6-9491-22f30862d342' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_Celsius/meter</dd><dt><span>comment :</span></dt><dd>Allowable temperature spike in deep water</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_cond_min</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f667054b-6d21-4a51-a7bc-7297e85342d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f667054b-6d21-4a51-a7bc-7297e85342d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bba78e8-5e4f-4584-96db-35774c838cdb' class='xr-var-data-in' type='checkbox'><label for='data-8bba78e8-5e4f-4584-96db-35774c838cdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mS/cm</dd><dt><span>comment :</span></dt><dd>Minimum conductivity value</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_cond_max</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-39705ea8-5b00-4717-b74d-558efc76ac80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39705ea8-5b00-4717-b74d-558efc76ac80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d339163d-14c9-4723-9e70-9c1f00874c8b' class='xr-var-data-in' type='checkbox'><label for='data-d339163d-14c9-4723-9e70-9c1f00874c8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mS/cm</dd><dt><span>comment :</span></dt><dd>Maximum conductivity value</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_cond_spike_depth</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa62ac5e-f443-4a3d-b94e-dec347ba167f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa62ac5e-f443-4a3d-b94e-dec347ba167f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-013e145a-4da8-4e75-b0fc-1f475b7be0be' class='xr-var-data-in' type='checkbox'><label for='data-013e145a-4da8-4e75-b0fc-1f475b7be0be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Depth for deep conductivity spike test</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_cond_spike_shallow</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef67add9-21d1-42cb-87bc-9c0837577813' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef67add9-21d1-42cb-87bc-9c0837577813' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db7cc8e7-8c2b-4196-866f-2ce9d09b88cf' class='xr-var-data-in' type='checkbox'><label for='data-db7cc8e7-8c2b-4196-866f-2ce9d09b88cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mS/cm/m</dd><dt><span>comment :</span></dt><dd>Allowable conductivity spike in shallow deep water</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_cond_spike_deep</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b93dfc7-b901-4847-9dc3-daaaa96108a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b93dfc7-b901-4847-9dc3-daaaa96108a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf103576-8e39-4ba4-b650-98b5d3613026' class='xr-var-data-in' type='checkbox'><label for='data-cf103576-8e39-4ba4-b650-98b5d3613026' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mS/cm/m</dd><dt><span>comment :</span></dt><dd>Allowable conductivity spike in deep water</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_salin_min</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98fe4bba-49fd-413f-93a6-121c299c1ccb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98fe4bba-49fd-413f-93a6-121c299c1ccb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88771fb3-d026-4c40-9b02-b2307199f6bb' class='xr-var-data-in' type='checkbox'><label for='data-88771fb3-d026-4c40-9b02-b2307199f6bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1e-3</dd><dt><span>comment :</span></dt><dd>Minimum salinity value (PSU)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_salin_max</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b6173bd-f770-4d9f-b824-dc0bf6161d8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b6173bd-f770-4d9f-b824-dc0bf6161d8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9446451b-d457-4cc9-85a4-9efd1cebf8d0' class='xr-var-data-in' type='checkbox'><label for='data-9446451b-d457-4cc9-85a4-9efd1cebf8d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1e-3</dd><dt><span>comment :</span></dt><dd>Maximum salinity value (PSU)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_overall_ctd_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-72ca970e-3d4b-455b-8ed0-cf51bd68216d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72ca970e-3d4b-455b-8ed0-cf51bd68216d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6491417-af5a-4ea3-bb22-710146413533' class='xr-var-data-in' type='checkbox'><label for='data-b6491417-af5a-4ea3-bb22-710146413533' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Maximum fraction of CTD data that can be QC_BAD</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_overall_speed_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b3f21c5-8f77-4458-a739-735df339582a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b3f21c5-8f77-4458-a739-735df339582a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be294e06-03a3-4edd-9d6c-e49805b144fc' class='xr-var-data-in' type='checkbox'><label for='data-be294e06-03a3-4edd-9d6c-e49805b144fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Maximum fraction of CTD data that can be QC_BAD</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_QC_high_freq_noise</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0cec0583-5f45-4299-9d84-2974b4cd5816' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cec0583-5f45-4299-9d84-2974b4cd5816' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6316621d-9b90-4b7a-a540-2bcef3c445f2' class='xr-var-data-in' type='checkbox'><label for='data-6316621d-9b90-4b7a-a540-2bcef3c445f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>The smoothing window width (in samples) for QC noise on scicon</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_GPS_position_error</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9bd0e9ad-65de-4ff4-bdd1-874cefec7aa4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bd0e9ad-65de-4ff4-bdd1-874cefec7aa4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c0d39eb-fc4a-49c8-b4e2-0460d53aeb8d' class='xr-var-data-in' type='checkbox'><label for='data-5c0d39eb-fc4a-49c8-b4e2-0460d53aeb8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Assumed error of GPS fixes</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_use_auxpressure</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2e72595b-88be-4fab-b496-f6bf337ce979' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e72595b-88be-4fab-b496-f6bf337ce979' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-787bed0c-8368-4f1a-b803-1064ca90cdcb' class='xr-var-data-in' type='checkbox'><label for='data-787bed0c-8368-4f1a-b803-1064ca90cdcb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to use aux pressure sensor data</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_use_auxcompass</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-05822fc3-4965-4ce8-afb9-5b31fe4c4462' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05822fc3-4965-4ce8-afb9-5b31fe4c4462' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a31f8b3-7032-4e53-ae98-a04128389d64' class='xr-var-data-in' type='checkbox'><label for='data-9a31f8b3-7032-4e53-ae98-a04128389d64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether to use aux compass sensor data</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_x_m</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-666a93a2-cd14-4888-b68c-b38f0daba00e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-666a93a2-cd14-4888-b68c-b38f0daba00e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b1d9d98-d814-44bd-9a6a-0e8a7c9339a9' class='xr-var-data-in' type='checkbox'><label for='data-4b1d9d98-d814-44bd-9a6a-0e8a7c9339a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Length of mouth portion of cell</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_r_m</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42773486-48ce-44c2-ba08-ca06a8de7b71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42773486-48ce-44c2-ba08-ca06a8de7b71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d77ee1b-6756-4342-9ed8-53087d70de20' class='xr-var-data-in' type='checkbox'><label for='data-7d77ee1b-6756-4342-9ed8-53087d70de20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Radius of mouth portion of cell</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_cell_length</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d05c391-17f2-4b1a-8420-aa3552dd4a56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d05c391-17f2-4b1a-8420-aa3552dd4a56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdcd2202-7e5a-4454-9074-9be3be60bd14' class='xr-var-data-in' type='checkbox'><label for='data-fdcd2202-7e5a-4454-9074-9be3be60bd14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Combined length of the 2 narrow (sample) portions of cell</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_x_w</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6448b49-70eb-4dcd-9b77-a18609e117a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6448b49-70eb-4dcd-9b77-a18609e117a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73f9b9b8-1b61-4797-ad05-10cb02cb1d57' class='xr-var-data-in' type='checkbox'><label for='data-73f9b9b8-1b61-4797-ad05-10cb02cb1d57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Length of wide portion of cell</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_r_w</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-48588521-129a-41b9-9f52-e6e3af13f35a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48588521-129a-41b9-9f52-e6e3af13f35a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf40bfde-6280-452b-aa12-69ba4a2a8ff7' class='xr-var-data-in' type='checkbox'><label for='data-bf40bfde-6280-452b-aa12-69ba4a2a8ff7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Radius of wide portion of cell</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_r_n</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3dec848c-5790-44d4-a177-4e258813444e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3dec848c-5790-44d4-a177-4e258813444e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8679087b-a432-432e-8720-d9c2a473fa09' class='xr-var-data-in' type='checkbox'><label for='data-8679087b-a432-432e-8720-d9c2a473fa09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Radius of narrow portion of cell</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_x_T</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d69db37c-f605-4a52-9bad-64c6efd0de21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d69db37c-f605-4a52-9bad-64c6efd0de21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b09d8f5f-1d5d-4598-817c-0cfb96d3378e' class='xr-var-data-in' type='checkbox'><label for='data-b09d8f5f-1d5d-4598-817c-0cfb96d3378e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Cell mouth to thermistor x offset</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_z_T</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-76dd2319-ee1c-456e-80b7-be0605fd6503' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76dd2319-ee1c-456e-80b7-be0605fd6503' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38830b76-828f-4066-9b5b-ef7bc181d7f9' class='xr-var-data-in' type='checkbox'><label for='data-38830b76-828f-4066-9b5b-ef7bc181d7f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Cell mouth to thermistor z offset</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_sbect_C_d0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1d40b87c-de48-4067-a48e-62761416aff5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d40b87c-de48-4067-a48e-62761416aff5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08476de9-8456-48a7-8f3b-7b8bfce4924d' class='xr-var-data-in' type='checkbox'><label for='data-08476de9-8456-48a7-8f3b-7b8bfce4924d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Measured cell drag coefficient</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_rho0</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a66fc6b-14e5-4392-9a93-b818088d57a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a66fc6b-14e5-4392-9a93-b818088d57a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beef8f85-16ab-4f7c-b5ec-2436d84c0e68' class='xr-var-data-in' type='checkbox'><label for='data-beef8f85-16ab-4f7c-b5ec-2436d84c0e68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg/m^3</dd><dt><span>comment :</span></dt><dd>Typical expected density of seawater for this deployment</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_volmax</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f867ed2-183b-4f7f-b7ad-05ae61db301f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f867ed2-183b-4f7f-b7ad-05ae61db301f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13e2f11a-2e66-4ee5-a634-e7f6ee41524e' class='xr-var-data-in' type='checkbox'><label for='data-13e2f11a-2e66-4ee5-a634-e7f6ee41524e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m^3</dd><dt><span>comment :</span></dt><dd>Maximum displaced volume of the glider</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_mass_comp</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1e93516f-478f-476d-9a74-d2c45057e386' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e93516f-478f-476d-9a74-d2c45057e386' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fe89093-9a57-40fd-80e7-4ed2acb97bba' class='xr-var-data-in' type='checkbox'><label for='data-4fe89093-9a57-40fd-80e7-4ed2acb97bba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg</dd><dt><span>comment :</span></dt><dd>Mass of the compressee</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_hd_c</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-71a644fc-046b-463b-903a-d0cf026525aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71a644fc-046b-463b-903a-d0cf026525aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bac4fd1-7d28-4e52-99a6-ca2b0a0f0c02' class='xr-var-data-in' type='checkbox'><label for='data-0bac4fd1-7d28-4e52-99a6-ca2b0a0f0c02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Hydrodynamic induced drag factor for given hull shape (1/radians^2 of attack angle)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_glider_length</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9c49b4f5-b562-4e2c-b229-3ff3e2c76aaf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c49b4f5-b562-4e2c-b229-3ff3e2c76aaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3f4b791-e20d-4441-bd8a-30fec2a13ada' class='xr-var-data-in' type='checkbox'><label for='data-b3f4b791-e20d-4441-bd8a-30fec2a13ada' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Length of standard glider body (not including antenna mast)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_temp_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e45f8c3d-4c6a-4ce0-91f4-ac4b270a8511' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e45f8c3d-4c6a-4ce0-91f4-ac4b270a8511' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d27242d-e30a-4ba1-8981-ccc8deb7a939' class='xr-var-data-in' type='checkbox'><label for='data-1d27242d-e30a-4ba1-8981-ccc8deb7a939' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_Celsius</dd><dt><span>comment :</span></dt><dd>Reference temperature for SG thermal expansion calculation</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_hd_a</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-15874eab-5918-4fdb-8e21-a67127e9bc3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15874eab-5918-4fdb-8e21-a67127e9bc3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b491681f-18f8-47d4-849d-a3d93401e511' class='xr-var-data-in' type='checkbox'><label for='data-b491681f-18f8-47d4-849d-a3d93401e511' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Hydrodynamic lift factor for given hull shape (1/degrees of attack angle)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_hd_b</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b27d052-145b-4821-8ff5-0aa83e38bb4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b27d052-145b-4821-8ff5-0aa83e38bb4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6e4b82f-8f34-4ddc-9a8a-a21f79848453' class='xr-var-data-in' type='checkbox'><label for='data-c6e4b82f-8f34-4ddc-9a8a-a21f79848453' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Hydrodynamic drag factor for given hull shape (Pa^(-1/4))</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_hd_s</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b9459c07-98d0-4273-adbe-4074df451754' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9459c07-98d0-4273-adbe-4074df451754' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-875acff5-399a-47e8-ac8c-bcaa678b6cff' class='xr-var-data-in' type='checkbox'><label for='data-875acff5-399a-47e8-ac8c-bcaa678b6cff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>fraction</dd><dt><span>comment :</span></dt><dd>How the drag scales by shape (-1/4 for SG per Eriksen, et al.)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_therm_expan</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2423da03-6bc7-4de3-8b19-6630d336ab43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2423da03-6bc7-4de3-8b19-6630d336ab43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0ac382c-b3f9-44f1-aa82-6e72bb2afc4f' class='xr-var-data-in' type='checkbox'><label for='data-e0ac382c-b3f9-44f1-aa82-6e72bb2afc4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cc/degrees_Celsius</dd><dt><span>comment :</span></dt><dd>SG thermal expansion coeff</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_abs_compress</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7408b778-a81e-4841-a60f-e365308fc927' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7408b778-a81e-4841-a60f-e365308fc927' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9ce8cc1-6123-4088-bc5f-648c0daf4f5e' class='xr-var-data-in' type='checkbox'><label for='data-e9ce8cc1-6123-4088-bc5f-648c0daf4f5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>cc/dbar</dd><dt><span>comment :</span></dt><dd>SG vehicle compressibility</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_glider_interstitial_length</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d438b13-7456-474a-9198-e994af196f9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d438b13-7456-474a-9198-e994af196f9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0617fd3c-eab6-401d-9ec4-3a28ef6583d8' class='xr-var-data-in' type='checkbox'><label for='data-0617fd3c-eab6-401d-9ec4-3a28ef6583d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>SG equivalent interstitial pipe length</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_glider_interstitial_volume</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36160e89-2677-42f2-9ed4-a8db59fbf516' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36160e89-2677-42f2-9ed4-a8db59fbf516' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3385eded-d28a-4e2e-a39d-1ec18c46ac6d' class='xr-var-data-in' type='checkbox'><label for='data-3385eded-d28a-4e2e-a39d-1ec18c46ac6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m^3</dd><dt><span>comment :</span></dt><dd>SG interstitial volume between fairing and hull</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_glider_r_en</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8283a916-b615-46d4-a0da-ee7c5e20f8b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8283a916-b615-46d4-a0da-ee7c5e20f8b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b0ffcae-e712-4cbc-9e11-ae417c041d90' class='xr-var-data-in' type='checkbox'><label for='data-7b0ffcae-e712-4cbc-9e11-ae417c041d90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Nose entry hole radius</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_glider_wake_entry_thickness</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9905fbf6-321a-4de4-be5b-d92bad2f94f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9905fbf6-321a-4de4-be5b-d92bad2f94f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba6631ec-bc84-48ca-a39f-0e9045f6c4e7' class='xr-var-data-in' type='checkbox'><label for='data-ba6631ec-bc84-48ca-a39f-0e9045f6c4e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Wake entry region thickness</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_glider_vol_wake</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f6cc9d9-1157-405d-98a0-1216973d676e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f6cc9d9-1157-405d-98a0-1216973d676e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34e0ce49-b647-4191-95d3-b3a6904f6911' class='xr-var-data-in' type='checkbox'><label for='data-34e0ce49-b647-4191-95d3-b3a6904f6911' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m^3</dd><dt><span>comment :</span></dt><dd>Attached wake volume</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_glider_r_fair</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c5e2439a-7745-40a1-8a74-d721774d2565' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5e2439a-7745-40a1-8a74-d721774d2565' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33c5e049-f332-40e3-bdf0-7d9a7277fd1d' class='xr-var-data-in' type='checkbox'><label for='data-33c5e049-f332-40e3-bdf0-7d9a7277fd1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Maximum radius of fairing</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_glider_xT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-60a4f988-d80f-47d1-8ac9-898e5dc1b6a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60a4f988-d80f-47d1-8ac9-898e5dc1b6a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd0e41c0-452e-4a4f-95d4-d6d7b144cad9' class='xr-var-data-in' type='checkbox'><label for='data-cd0e41c0-452e-4a4f-95d4-d6d7b144cad9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Glider x coord of thermistor tip</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_glider_zT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8bb43edc-cf80-4802-a94d-acfafd315546' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bb43edc-cf80-4802-a94d-acfafd315546' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15ebb2c2-c7dd-4dd5-b817-caed3472cf80' class='xr-var-data-in' type='checkbox'><label for='data-15ebb2c2-c7dd-4dd5-b817-caed3472cf80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Glider z coord of thermistor tip</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_glider_xP</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3bf5792e-bbcc-404d-937b-100579db2187' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bf5792e-bbcc-404d-937b-100579db2187' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0050c537-4c0b-4064-b3e6-9cf25f9059f7' class='xr-var-data-in' type='checkbox'><label for='data-0050c537-4c0b-4064-b3e6-9cf25f9059f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Glider x coord of pressure gauge</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sg_cal_glider_zP</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a7be91a6-68a3-42ef-b9b7-eca137c68a54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7be91a6-68a3-42ef-b9b7-eca137c68a54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2f6fa9c-7a69-4f09-a391-8d650f80ddff' class='xr-var-data-in' type='checkbox'><label for='data-e2f6fa9c-7a69-4f09-a391-8d650f80ddff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>meters</dd><dt><span>comment :</span></dt><dd>Glider z coord of pressure gauge</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_version</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-061977b3-a24f-4e61-9cbd-631f7d6cedaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-061977b3-a24f-4e61-9cbd-631f7d6cedaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-072792d2-8d9d-49dd-b41f-595633ab5a00' class='xr-var-data-in' type='checkbox'><label for='data-072792d2-8d9d-49dd-b41f-595633ab5a00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Version of glider software</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_glider</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7be4e17e-2d98-4e3a-b281-fe0a3c0690d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7be4e17e-2d98-4e3a-b281-fe0a3c0690d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b1b2708-a043-4404-b339-e8b04a80ef08' class='xr-var-data-in' type='checkbox'><label for='data-3b1b2708-a043-4404-b339-e8b04a80ef08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Glider three digit id</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_mission</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4687a015-b4a9-47b2-a06e-06b1f4d43c20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4687a015-b4a9-47b2-a06e-06b1f4d43c20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e079cb39-25bd-4233-bd6c-f312ab17ef3a' class='xr-var-data-in' type='checkbox'><label for='data-e079cb39-25bd-4233-bd6c-f312ab17ef3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Mission number</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_dive</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f7c7ab6e-63df-4520-a940-ed5af9e57888' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7c7ab6e-63df-4520-a940-ed5af9e57888' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a99909b7-31af-403c-9c7c-0d5a6d4a9fab' class='xr-var-data-in' type='checkbox'><label for='data-a99909b7-31af-403c-9c7c-0d5a6d4a9fab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Dive number</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_start</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-998db96c-6772-4e1e-925b-05f86311c95d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-998db96c-6772-4e1e-925b-05f86311c95d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca82553e-1a9b-4eb3-afbf-637aea1bc511' class='xr-var-data-in' type='checkbox'><label for='data-ca82553e-1a9b-4eb3-afbf-637aea1bc511' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Dive start time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ID</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d4a74e7-3c4d-49d6-989c-9bcfb7d99701' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4d4a74e7-3c4d-49d6-989c-9bcfb7d99701' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1a6ffd2-2ae3-445f-9314-dbc1199d190e' class='xr-var-data-in' type='checkbox'><label for='data-c1a6ffd2-2ae3-445f-9314-dbc1199d190e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_MISSION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-47115145-de84-4053-8972-711f58445812' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47115145-de84-4053-8972-711f58445812' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83f53054-36f6-4321-a260-a89e5b847fd6' class='xr-var-data-in' type='checkbox'><label for='data-83f53054-36f6-4321-a260-a89e5b847fd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DIVE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cf9b5f9f-b80b-4cbb-8f34-26574192a953' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cf9b5f9f-b80b-4cbb-8f34-26574192a953' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46d9591d-76f0-4b48-bc8f-efd93fc61a2d' class='xr-var-data-in' type='checkbox'><label for='data-46d9591d-76f0-4b48-bc8f-efd93fc61a2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_N_DIVES</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3fa47c87-ff45-456e-b981-50291aeedff6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3fa47c87-ff45-456e-b981-50291aeedff6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52a4f0b4-1462-4b7d-804a-c293bc4fbf67' class='xr-var-data-in' type='checkbox'><label for='data-52a4f0b4-1462-4b7d-804a-c293bc4fbf67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_D_SURF</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9156c6b4-6b61-4362-898d-fa55b6555bc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9156c6b4-6b61-4362-898d-fa55b6555bc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57507ac4-2bc6-40e2-966c-6fe8ddd1cbc3' class='xr-var-data-in' type='checkbox'><label for='data-57507ac4-2bc6-40e2-966c-6fe8ddd1cbc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_D_FLARE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cf28433a-5704-4b55-9348-072384b75957' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cf28433a-5704-4b55-9348-072384b75957' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc599dcb-fe5a-4383-bf9a-bf1085be30e3' class='xr-var-data-in' type='checkbox'><label for='data-bc599dcb-fe5a-4383-bf9a-bf1085be30e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_D_TGT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-369f8e33-bf17-4298-be4d-4080dae8296d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-369f8e33-bf17-4298-be4d-4080dae8296d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-868bcc36-a76c-4542-8dff-2f8e29eeb998' class='xr-var-data-in' type='checkbox'><label for='data-868bcc36-a76c-4542-8dff-2f8e29eeb998' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_D_ABORT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd561d11-8d25-4c1d-8996-d85af2f6b895' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd561d11-8d25-4c1d-8996-d85af2f6b895' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c81cd852-9df6-4767-8f2a-337c22f278f0' class='xr-var-data-in' type='checkbox'><label for='data-c81cd852-9df6-4767-8f2a-337c22f278f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_D_NO_BLEED</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc14cc9f-fe1f-4e46-a834-76dbbddc1f99' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc14cc9f-fe1f-4e46-a834-76dbbddc1f99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8738046-ee9c-4cbb-b0d5-3cee087b8558' class='xr-var-data-in' type='checkbox'><label for='data-b8738046-ee9c-4cbb-b0d5-3cee087b8558' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_D_BOOST</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6280855d-3dd1-4b90-8dd5-a2a3d79cd92b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6280855d-3dd1-4b90-8dd5-a2a3d79cd92b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79d43787-3229-4078-8409-61078a47f330' class='xr-var-data-in' type='checkbox'><label for='data-79d43787-3229-4078-8409-61078a47f330' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_BOOST</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6e2ba5a-8e6e-4a2a-ae3a-02015ecb9b6e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6e2ba5a-8e6e-4a2a-ae3a-02015ecb9b6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2c9493d-94e5-4773-a081-06dfbb0847ba' class='xr-var-data-in' type='checkbox'><label for='data-c2c9493d-94e5-4773-a081-06dfbb0847ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_D_FINISH</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca435891-f206-4736-ac2e-b188d9a588b3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ca435891-f206-4736-ac2e-b188d9a588b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d583819-0bf9-43eb-8586-7db09a8ac478' class='xr-var-data-in' type='checkbox'><label for='data-1d583819-0bf9-43eb-8586-7db09a8ac478' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_D_PITCH</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b9bd4091-c7e7-473b-bba0-1aed981f4b4b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9bd4091-c7e7-473b-bba0-1aed981f4b4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e2abada-85ff-4b9b-8d00-41e6d10206a6' class='xr-var-data-in' type='checkbox'><label for='data-1e2abada-85ff-4b9b-8d00-41e6d10206a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_D_SAFE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0f356fa4-d0e5-46fd-a6fe-0350c7578afe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0f356fa4-d0e5-46fd-a6fe-0350c7578afe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-854e7883-6e08-4946-a563-0d59e23e632f' class='xr-var-data-in' type='checkbox'><label for='data-854e7883-6e08-4946-a563-0d59e23e632f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_D_CALL</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-24573697-22ed-4bf4-ba7b-27e929239d16' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-24573697-22ed-4bf4-ba7b-27e929239d16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d816f245-ccdd-45e7-b1d1-fd7fc56cb5d2' class='xr-var-data-in' type='checkbox'><label for='data-d816f245-ccdd-45e7-b1d1-fd7fc56cb5d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SURFACE_URGENCY</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-45fa36ae-aef4-43ba-ae71-11238d251f79' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45fa36ae-aef4-43ba-ae71-11238d251f79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1ce7388-d7f5-4049-96b3-7b1355a04b4c' class='xr-var-data-in' type='checkbox'><label for='data-b1ce7388-d7f5-4049-96b3-7b1355a04b4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SURFACE_URGENCY_TRY</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-240af859-5315-449d-84aa-f316ea85e06d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-240af859-5315-449d-84aa-f316ea85e06d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67a9c9da-bded-4b2c-981b-98ba9e106f69' class='xr-var-data-in' type='checkbox'><label for='data-67a9c9da-bded-4b2c-981b-98ba9e106f69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SURFACE_URGENCY_FORCE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ecaa74a6-50b4-4dba-b241-d287727a06a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ecaa74a6-50b4-4dba-b241-d287727a06a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-502eb80d-09fc-4ea1-ad44-7a6ee8b1e0fa' class='xr-var-data-in' type='checkbox'><label for='data-502eb80d-09fc-4ea1-ad44-7a6ee8b1e0fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_DIVE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f0d7b2d5-9cfe-4588-bbcf-dc15599490ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f0d7b2d5-9cfe-4588-bbcf-dc15599490ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8747ff80-e3e1-40af-8caf-72a123445b21' class='xr-var-data-in' type='checkbox'><label for='data-8747ff80-e3e1-40af-8caf-72a123445b21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_MISSION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a3766bb-72e8-427e-8c5d-9ce70ab92fd2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a3766bb-72e8-427e-8c5d-9ce70ab92fd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ebfd779-40cb-43d7-b421-c679baf80ff9' class='xr-var-data-in' type='checkbox'><label for='data-1ebfd779-40cb-43d7-b421-c679baf80ff9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_ABORT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-147a5da3-a002-434e-9001-ab313441b699' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-147a5da3-a002-434e-9001-ab313441b699' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c47b8df-5376-4582-86be-67dd2d90cd6c' class='xr-var-data-in' type='checkbox'><label for='data-6c47b8df-5376-4582-86be-67dd2d90cd6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_TURN</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-55a39244-c4c2-4e2c-ba8a-14ae362d6e9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-55a39244-c4c2-4e2c-ba8a-14ae362d6e9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2b3cc1b-9219-4b47-b958-8a56d554a876' class='xr-var-data-in' type='checkbox'><label for='data-c2b3cc1b-9219-4b47-b958-8a56d554a876' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_TURN_SAMPINT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-187d6ba4-1688-4e05-854a-7b8973d46a54' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-187d6ba4-1688-4e05-854a-7b8973d46a54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23f34f0e-06d0-4782-81e2-866f6c5f1c5d' class='xr-var-data-in' type='checkbox'><label for='data-23f34f0e-06d0-4782-81e2-866f6c5f1c5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_NO_W</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd1107ec-dfa3-4957-9e18-f4b8c4614ad2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd1107ec-dfa3-4957-9e18-f4b8c4614ad2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-749e2868-42bf-450f-b33e-2c101e7b5382' class='xr-var-data-in' type='checkbox'><label for='data-749e2868-42bf-450f-b33e-2c101e7b5382' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_LOITER</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25856556-751c-46b3-a1b4-ab71b234dca5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-25856556-751c-46b3-a1b4-ab71b234dca5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ec0cb8a-63c6-47fa-b19b-d2d3d8c08aed' class='xr-var-data-in' type='checkbox'><label for='data-3ec0cb8a-63c6-47fa-b19b-d2d3d8c08aed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_EPIRB</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8784f0b5-83a1-4f04-8db3-cfb712db3780' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8784f0b5-83a1-4f04-8db3-cfb712db3780' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-445505bc-a82d-4398-b912-fbaa3949d92f' class='xr-var-data-in' type='checkbox'><label for='data-445505bc-a82d-4398-b912-fbaa3949d92f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_USE_BATHY</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-34f80b71-27bb-4e45-8c69-915f305df166' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-34f80b71-27bb-4e45-8c69-915f305df166' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f39f0a40-6b53-4f94-8fe6-f1e9f77a3665' class='xr-var-data-in' type='checkbox'><label for='data-f39f0a40-6b53-4f94-8fe6-f1e9f77a3665' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_USE_ICE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7b216ab1-93e0-4ca3-a1b3-9ed161f032e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b216ab1-93e0-4ca3-a1b3-9ed161f032e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3283bf91-f670-4896-b808-326bfb9f1b57' class='xr-var-data-in' type='checkbox'><label for='data-3283bf91-f670-4896-b808-326bfb9f1b57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ICE_FREEZE_MARGIN</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa2cd6d5-f211-4318-9709-3e5e86e2ce0a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa2cd6d5-f211-4318-9709-3e5e86e2ce0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce9efff1-b51a-4c49-9c82-624cded1ccc5' class='xr-var-data-in' type='checkbox'><label for='data-ce9efff1-b51a-4c49-9c82-624cded1ccc5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_D_OFFGRID</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2743b66f-fac6-4fd1-a8b3-d6f43649881d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2743b66f-fac6-4fd1-a8b3-d6f43649881d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85a5e84d-21fa-4f3f-9cee-9c5519540111' class='xr-var-data-in' type='checkbox'><label for='data-85a5e84d-21fa-4f3f-9cee-9c5519540111' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_WATCHDOG</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-291c5c2f-bea7-48b3-9ec9-9662c0ce1e01' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-291c5c2f-bea7-48b3-9ec9-9662c0ce1e01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52c1555e-17e8-4e51-9ff4-96407b809270' class='xr-var-data-in' type='checkbox'><label for='data-52c1555e-17e8-4e51-9ff4-96407b809270' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_RELAUNCH</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7eab9111-6c7e-4c7b-9186-e5375b5d8a9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7eab9111-6c7e-4c7b-9186-e5375b5d8a9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-639b7f64-4167-4d62-bd12-b4d9a1b2bb37' class='xr-var-data-in' type='checkbox'><label for='data-639b7f64-4167-4d62-bd12-b4d9a1b2bb37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_APOGEE_PITCH</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f4d8443-c7ea-479e-a7d8-0640d5b9342f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f4d8443-c7ea-479e-a7d8-0640d5b9342f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef312283-88ae-4378-8d40-49146485c6ab' class='xr-var-data-in' type='checkbox'><label for='data-ef312283-88ae-4378-8d40-49146485c6ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_MAX_BUOY</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d3b8461c-4aad-4e10-8d2a-aaf6f1049304' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d3b8461c-4aad-4e10-8d2a-aaf6f1049304' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f91ca23a-47a2-4baa-a9c3-c0f54fb420d7' class='xr-var-data-in' type='checkbox'><label for='data-f91ca23a-47a2-4baa-a9c3-c0f54fb420d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_COURSE_BIAS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1e0044db-0e47-4b93-8ee7-5666664f1d57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e0044db-0e47-4b93-8ee7-5666664f1d57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b434e4f-c762-44ba-8686-560eb8f0806b' class='xr-var-data-in' type='checkbox'><label for='data-1b434e4f-c762-44ba-8686-560eb8f0806b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_GLIDE_SLOPE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d34d0f4-fc72-4c40-b3a4-2c28dbc8d395' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d34d0f4-fc72-4c40-b3a4-2c28dbc8d395' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54ed58fb-5b1e-4088-bdad-9fc28c20165b' class='xr-var-data-in' type='checkbox'><label for='data-54ed58fb-5b1e-4088-bdad-9fc28c20165b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SPEED_FACTOR</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d930a7f-c281-49f3-a53f-966277361cb0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3d930a7f-c281-49f3-a53f-966277361cb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5b6f059-f256-4b4b-96f3-c5f3ca9f449b' class='xr-var-data-in' type='checkbox'><label for='data-d5b6f059-f256-4b4b-96f3-c5f3ca9f449b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_RHO</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-310ed409-ab72-47ce-953d-bad2452f8142' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-310ed409-ab72-47ce-953d-bad2452f8142' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a8f9dba-de56-467e-a8ba-d7b123cf0299' class='xr-var-data-in' type='checkbox'><label for='data-2a8f9dba-de56-467e-a8ba-d7b123cf0299' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>gram/cc</dd><dt><span>comment :</span></dt><dd>Expected density at deepest point over the deployment</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_MASS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bc9e30e2-eda9-4b31-88fe-c6213057099e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bc9e30e2-eda9-4b31-88fe-c6213057099e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b660836-eeee-4209-87a3-de51d4c4c3e2' class='xr-var-data-in' type='checkbox'><label for='data-3b660836-eeee-4209-87a3-de51d4c4c3e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_MASS_COMP</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-073b0edc-44f9-4dab-8c7a-9bb524672438' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-073b0edc-44f9-4dab-8c7a-9bb524672438' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5af15928-ee87-4176-b479-11b4e660da56' class='xr-var-data-in' type='checkbox'><label for='data-5af15928-ee87-4176-b479-11b4e660da56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_NAV_MODE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-953d4237-408d-4c07-9a7c-8061a20b7aec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-953d4237-408d-4c07-9a7c-8061a20b7aec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fd87133-a5a7-46ac-a3a7-1dc8b6c80ee4' class='xr-var-data-in' type='checkbox'><label for='data-7fd87133-a5a7-46ac-a3a7-1dc8b6c80ee4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_FERRY_MAX</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f91d950-2ab7-4bbe-81d5-5bd931518912' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f91d950-2ab7-4bbe-81d5-5bd931518912' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a724776a-9ba4-4779-b2aa-8c856bf052ac' class='xr-var-data-in' type='checkbox'><label for='data-a724776a-9ba4-4779-b2aa-8c856bf052ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_KALMAN_USE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-108ad4d9-5308-428b-b2ed-eafcd93f4821' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-108ad4d9-5308-428b-b2ed-eafcd93f4821' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7453bdff-7d14-4fc5-b5c2-1e6c0fb4c0db' class='xr-var-data-in' type='checkbox'><label for='data-7453bdff-7d14-4fc5-b5c2-1e6c0fb4c0db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_HD_A</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fad181b4-5a5b-4fd4-a429-1fa489e84e30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fad181b4-5a5b-4fd4-a429-1fa489e84e30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-846be971-7b87-4a61-84cc-99a7e53084e8' class='xr-var-data-in' type='checkbox'><label for='data-846be971-7b87-4a61-84cc-99a7e53084e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Hydrodynamic lift factor for given hull shape (1/degrees of attack angle)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_HD_B</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eadd3a95-3d8d-45fd-8d1e-8562da1df3f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eadd3a95-3d8d-45fd-8d1e-8562da1df3f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e85ed7f-74dd-43c9-8794-62bb9a6b590d' class='xr-var-data-in' type='checkbox'><label for='data-9e85ed7f-74dd-43c9-8794-62bb9a6b590d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Hydrodynamic drag factor for given hull shape (Pa^(-1/4))</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_HD_C</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-590017c9-91df-4790-9884-65faf7028edd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-590017c9-91df-4790-9884-65faf7028edd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e5ea0de-ef1c-4b77-8698-02a102e5e1c7' class='xr-var-data-in' type='checkbox'><label for='data-9e5ea0de-ef1c-4b77-8698-02a102e5e1c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Hydrodynamic induced drag factor for given hull shape (1/degrees^2 of attack angle)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_HEADING</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6f96ca46-a788-4d40-875b-26b59b600b9e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6f96ca46-a788-4d40-875b-26b59b600b9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cf58741-1184-491d-abcc-6eb3a89e72b8' class='xr-var-data-in' type='checkbox'><label for='data-5cf58741-1184-491d-abcc-6eb3a89e72b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ESCAPE_HEADING</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7418fec6-c135-4313-bc54-23b07449fded' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7418fec6-c135-4313-bc54-23b07449fded' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd3fa5f9-969d-49dc-ad07-85ffc12e1941' class='xr-var-data-in' type='checkbox'><label for='data-dd3fa5f9-969d-49dc-ad07-85ffc12e1941' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ESCAPE_HEADING_DELTA</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-39fc040d-08cb-456d-8753-605926208f59' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39fc040d-08cb-456d-8753-605926208f59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7895641f-6627-434e-a126-6e0a6a8beef7' class='xr-var-data-in' type='checkbox'><label for='data-7895641f-6627-434e-a126-6e0a6a8beef7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_FIX_MISSING_TIMEOUT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9494afff-d001-4d69-abbb-66aa08c013c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9494afff-d001-4d69-abbb-66aa08c013c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea20f7a4-0e16-471b-b0a5-f35774ec1d21' class='xr-var-data-in' type='checkbox'><label for='data-ea20f7a4-0e16-471b-b0a5-f35774ec1d21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_TGT_DEFAULT_LAT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8de06c2c-dd8a-4153-a7fe-f4bd3b0f95e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8de06c2c-dd8a-4153-a7fe-f4bd3b0f95e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8775a442-ac60-4b0a-ba6c-e700bf2e49dc' class='xr-var-data-in' type='checkbox'><label for='data-8775a442-ac60-4b0a-ba6c-e700bf2e49dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_TGT_DEFAULT_LON</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ae42ec6e-4fef-43ab-96a3-006117e571b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae42ec6e-4fef-43ab-96a3-006117e571b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cb3ca78-da87-4125-9b61-5826f4ee4d1f' class='xr-var-data-in' type='checkbox'><label for='data-4cb3ca78-da87-4125-9b61-5826f4ee4d1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_TGT_AUTO_DEFAULT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29ae0f5a-3d8c-4bee-87ff-70498a2c69a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-29ae0f5a-3d8c-4bee-87ff-70498a2c69a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d90fa4a2-c1c5-40cf-9eec-52615bb373a6' class='xr-var-data-in' type='checkbox'><label for='data-d90fa4a2-c1c5-40cf-9eec-52615bb373a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SM_CC</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa32ca08-5454-44a3-b83c-45df11d6d0e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa32ca08-5454-44a3-b83c-45df11d6d0e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f65a64fd-73cb-4978-ae6b-6a632b90e3de' class='xr-var-data-in' type='checkbox'><label for='data-f65a64fd-73cb-4978-ae6b-6a632b90e3de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_N_FILEKB</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-09f5a9ad-cf87-4b61-92a1-4970153240a3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-09f5a9ad-cf87-4b61-92a1-4970153240a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0f25008-34a1-4b79-afb9-6e95695eae68' class='xr-var-data-in' type='checkbox'><label for='data-b0f25008-34a1-4b79-afb9-6e95695eae68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_FILEMGR</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0ce46cd9-3740-488d-a9dd-cecffdaca755' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ce46cd9-3740-488d-a9dd-cecffdaca755' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d9e26f5-7aba-445f-91f9-03155e728dd7' class='xr-var-data-in' type='checkbox'><label for='data-4d9e26f5-7aba-445f-91f9-03155e728dd7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_CALL_NDIVES</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e0ebe3c6-44b3-4796-a731-b45d969c2743' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e0ebe3c6-44b3-4796-a731-b45d969c2743' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e98a217-76f5-4fb2-8ed1-cf0c10cca28a' class='xr-var-data-in' type='checkbox'><label for='data-7e98a217-76f5-4fb2-8ed1-cf0c10cca28a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_COMM_SEQ</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3b5773f5-478c-4cf9-b287-8aef87ccbd1d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3b5773f5-478c-4cf9-b287-8aef87ccbd1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c03482c1-08de-43c8-853a-2e14ea0dd4fc' class='xr-var-data-in' type='checkbox'><label for='data-c03482c1-08de-43c8-853a-2e14ea0dd4fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PROTOCOL</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-70df5567-e8d2-4b52-908e-0d1eba0e6549' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-70df5567-e8d2-4b52-908e-0d1eba0e6549' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5f574e8-826b-486a-a056-30d0a67a202f' class='xr-var-data-in' type='checkbox'><label for='data-a5f574e8-826b-486a-a056-30d0a67a202f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_N_NOCOMM</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-578ffc9d-4336-4582-846d-183147cfe68c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-578ffc9d-4336-4582-846d-183147cfe68c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3a7f284-1e3f-420a-9199-c88ca4cc613f' class='xr-var-data-in' type='checkbox'><label for='data-f3a7f284-1e3f-420a-9199-c88ca4cc613f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_NOCOMM_ACTION</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7e293bca-4698-4924-b32a-680f110fcc09' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7e293bca-4698-4924-b32a-680f110fcc09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb5f815b-d02d-4589-978b-ba5b5995558e' class='xr-var-data-in' type='checkbox'><label for='data-bb5f815b-d02d-4589-978b-ba5b5995558e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_N_NOSURFACE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7ac291c1-cab6-4088-aa18-864d8153e8b5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7ac291c1-cab6-4088-aa18-864d8153e8b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4aa46fa9-9151-4238-89a5-623a10a63c07' class='xr-var-data-in' type='checkbox'><label for='data-4aa46fa9-9151-4238-89a5-623a10a63c07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_UPLOAD_DIVES_MAX</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-62063b91-905f-442c-bfa2-e70ef734cf04' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-62063b91-905f-442c-bfa2-e70ef734cf04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87f0170a-d5a2-408d-ae62-ec0f97088f33' class='xr-var-data-in' type='checkbox'><label for='data-87f0170a-d5a2-408d-ae62-ec0f97088f33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_CALL_TRIES</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0a320310-81ad-4ef8-9209-0836854da47a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0a320310-81ad-4ef8-9209-0836854da47a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e155444b-7b8d-42b4-b75f-d88088707317' class='xr-var-data-in' type='checkbox'><label for='data-e155444b-7b8d-42b4-b75f-d88088707317' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_CALL_WAIT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4f0698ba-fce4-4b06-b4cf-ee8e3c0fadc4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4f0698ba-fce4-4b06-b4cf-ee8e3c0fadc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20064495-30eb-48dd-ad49-469bd7bd6c7e' class='xr-var-data-in' type='checkbox'><label for='data-20064495-30eb-48dd-ad49-469bd7bd6c7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_CAPUPLOAD</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc03d7b6-188d-4bbf-8824-1d6aed74db82' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cc03d7b6-188d-4bbf-8824-1d6aed74db82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7515daa5-ed5c-43e3-8657-192e5367c453' class='xr-var-data-in' type='checkbox'><label for='data-7515daa5-ed5c-43e3-8657-192e5367c453' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_CAPMAXSIZE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8a7f00aa-f333-4147-a733-be6ac6412b72' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a7f00aa-f333-4147-a733-be6ac6412b72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ec7b319-ff3b-429c-b6af-df98346cc03b' class='xr-var-data-in' type='checkbox'><label for='data-0ec7b319-ff3b-429c-b6af-df98346cc03b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_HEAPDBG</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-47e8f0e0-65e4-4ac5-a76f-db6103594d20' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47e8f0e0-65e4-4ac5-a76f-db6103594d20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efe8f2a4-b5be-4d4a-ae3a-c3ace123ac8c' class='xr-var-data-in' type='checkbox'><label for='data-efe8f2a4-b5be-4d4a-ae3a-c3ace123ac8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_GPS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc9a7ad2-abb0-4a9f-8abe-e229d77b9031' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cc9a7ad2-abb0-4a9f-8abe-e229d77b9031' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5766816-c191-43cc-8905-0c40afd13f9b' class='xr-var-data-in' type='checkbox'><label for='data-f5766816-c191-43cc-8905-0c40afd13f9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_N_GPS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-873f748b-9d26-4c35-8b06-0f877551ba86' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-873f748b-9d26-4c35-8b06-0f877551ba86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-908110ad-a2c1-4a7d-adf5-cd781e08cfb3' class='xr-var-data-in' type='checkbox'><label for='data-908110ad-a2c1-4a7d-adf5-cd781e08cfb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_GPS_ALMANAC</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3f73e87e-d96b-45d6-a883-5e634c1079c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3f73e87e-d96b-45d6-a883-5e634c1079c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2024e167-8b69-4ee5-b611-2d66d7b1214e' class='xr-var-data-in' type='checkbox'><label for='data-2024e167-8b69-4ee5-b611-2d66d7b1214e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_GPS_CHARGE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7560729d-d8ab-4fbd-8a07-2f713549ec0c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7560729d-d8ab-4fbd-8a07-2f713549ec0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cbc3f6b-7a1a-457f-8ba0-3c345e89700d' class='xr-var-data-in' type='checkbox'><label for='data-7cbc3f6b-7a1a-457f-8ba0-3c345e89700d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_T_RSLEEP</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-90879f3e-7f2b-482e-92e4-7af2c92b9ec1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90879f3e-7f2b-482e-92e4-7af2c92b9ec1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e8e858c-a760-4c77-a273-a4e6aee816cc' class='xr-var-data-in' type='checkbox'><label for='data-6e8e858c-a760-4c77-a273-a4e6aee816cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_STROBE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-58e6f1df-70ae-4fba-952c-3995fee332a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58e6f1df-70ae-4fba-952c-3995fee332a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0aeda1fa-9ae0-41a9-8483-0064b44a95f5' class='xr-var-data-in' type='checkbox'><label for='data-0aeda1fa-9ae0-41a9-8483-0064b44a95f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_RAFOS_PEAK_OFFSET</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-86147daa-7637-4fe8-a463-74e9490dd0b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-86147daa-7637-4fe8-a463-74e9490dd0b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7da9b278-0ab8-4d65-9a13-98fe807571b7' class='xr-var-data-in' type='checkbox'><label for='data-7da9b278-0ab8-4d65-9a13-98fe807571b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_RAFOS_CORR_THRESH</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0617b62e-075a-4c39-ad4e-e425f6654882' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0617b62e-075a-4c39-ad4e-e425f6654882' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8f797de-d356-4b9c-a51a-3a3463090306' class='xr-var-data-in' type='checkbox'><label for='data-f8f797de-d356-4b9c-a51a-3a3463090306' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_RAFOS_HIT_WINDOW</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-248774b9-bc4a-4bce-8ee8-fd590b7c3df2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-248774b9-bc4a-4bce-8ee8-fd590b7c3df2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b57c3d1d-cbbc-48b6-9a91-46d630966df7' class='xr-var-data-in' type='checkbox'><label for='data-b57c3d1d-cbbc-48b6-9a91-46d630966df7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PITCH_MIN</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-007a3265-f681-4fe7-82ac-b5c805e0e172' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-007a3265-f681-4fe7-82ac-b5c805e0e172' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-432d9f83-7d83-460e-8825-48d9ff15de52' class='xr-var-data-in' type='checkbox'><label for='data-432d9f83-7d83-460e-8825-48d9ff15de52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PITCH_MAX</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-99f6a0ec-03ad-4a63-816f-f0e98d59de63' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99f6a0ec-03ad-4a63-816f-f0e98d59de63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f89d5460-0504-43e8-b233-3442065fa344' class='xr-var-data-in' type='checkbox'><label for='data-f89d5460-0504-43e8-b233-3442065fa344' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_C_PITCH</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f4f39c2-6830-4fee-bd46-5b551f256cba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f4f39c2-6830-4fee-bd46-5b551f256cba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08c29660-a4dd-482f-8f59-c1bd9a1ca1eb' class='xr-var-data-in' type='checkbox'><label for='data-08c29660-a4dd-482f-8f59-c1bd9a1ca1eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PITCH_DBAND</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8a87a322-800d-4b36-a6c4-551bf4b444f6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a87a322-800d-4b36-a6c4-551bf4b444f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e25d45d6-94ff-4ad6-8211-89b490131a3d' class='xr-var-data-in' type='checkbox'><label for='data-e25d45d6-94ff-4ad6-8211-89b490131a3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PITCH_CNV</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-48d7da11-3499-4af8-a797-5c0c44614553' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48d7da11-3499-4af8-a797-5c0c44614553' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78dece85-5ec3-4582-a6db-a37d6c5da22d' class='xr-var-data-in' type='checkbox'><label for='data-78dece85-5ec3-4582-a6db-a37d6c5da22d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_P_OVSHOOT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fbab5685-416d-404b-9abb-392756bcaaef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fbab5685-416d-404b-9abb-392756bcaaef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ff7074e-35d2-4f6f-b9a4-6f395c41d8fd' class='xr-var-data-in' type='checkbox'><label for='data-9ff7074e-35d2-4f6f-b9a4-6f395c41d8fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PITCH_GAIN</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a7b204f9-6929-4039-86e6-19ac5536571c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a7b204f9-6929-4039-86e6-19ac5536571c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b148583d-966f-4d7b-a1af-5c3f999c04dd' class='xr-var-data-in' type='checkbox'><label for='data-b148583d-966f-4d7b-a1af-5c3f999c04dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PITCH_TIMEOUT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4d680566-f2d3-4ae2-930c-234ad31d4b46' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4d680566-f2d3-4ae2-930c-234ad31d4b46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-366a085d-40b4-410a-b5c6-bd540e17bbf5' class='xr-var-data-in' type='checkbox'><label for='data-366a085d-40b4-410a-b5c6-bd540e17bbf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PITCH_AD_RATE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2a479ef1-e669-4016-95ec-8c585585d200' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a479ef1-e669-4016-95ec-8c585585d200' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f758cb48-2027-4f0f-9006-f01ae3d7b6d3' class='xr-var-data-in' type='checkbox'><label for='data-f758cb48-2027-4f0f-9006-f01ae3d7b6d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PITCH_MAXERRORS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e4e6439d-93af-4499-95d0-2a433511c2ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4e6439d-93af-4499-95d0-2a433511c2ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d359940-641f-4cf9-a42e-7b44aedb4d19' class='xr-var-data-in' type='checkbox'><label for='data-4d359940-641f-4cf9-a42e-7b44aedb4d19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PITCH_ADJ_GAIN</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-08082c51-b9a3-4825-a18c-4e5b8ee6bc40' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08082c51-b9a3-4825-a18c-4e5b8ee6bc40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66c9fd6a-35b5-44c1-96dd-baee848172d2' class='xr-var-data-in' type='checkbox'><label for='data-66c9fd6a-35b5-44c1-96dd-baee848172d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PITCH_ADJ_DBAND</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad33e790-8bfc-4506-a240-01271cb26bae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad33e790-8bfc-4506-a240-01271cb26bae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27060aae-367d-4917-bd8b-377872f7a63f' class='xr-var-data-in' type='checkbox'><label for='data-27060aae-367d-4917-bd8b-377872f7a63f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ROLL_MIN</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5260b6b-d038-474a-a827-c262265fc6fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f5260b6b-d038-474a-a827-c262265fc6fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f228ba2-6f20-4e7b-a708-7bf176479a77' class='xr-var-data-in' type='checkbox'><label for='data-9f228ba2-6f20-4e7b-a708-7bf176479a77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ROLL_MAX</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8a1e4643-0ebe-4cce-9850-c53c4db151f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a1e4643-0ebe-4cce-9850-c53c4db151f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b883d43d-5c82-45d6-be43-63b8d2cebd46' class='xr-var-data-in' type='checkbox'><label for='data-b883d43d-5c82-45d6-be43-63b8d2cebd46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ROLL_DEG</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4371c55-8dfa-426c-a0f8-70a2ac670ab6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4371c55-8dfa-426c-a0f8-70a2ac670ab6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acd1e99d-446a-4cd8-8078-6070a9c61883' class='xr-var-data-in' type='checkbox'><label for='data-acd1e99d-446a-4cd8-8078-6070a9c61883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_C_ROLL_DIVE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce4fac36-aff9-45ff-a678-d47431ece7cb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce4fac36-aff9-45ff-a678-d47431ece7cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d24e20e-f8bf-4e6f-8ef2-f21c510ef901' class='xr-var-data-in' type='checkbox'><label for='data-5d24e20e-f8bf-4e6f-8ef2-f21c510ef901' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_C_ROLL_CLIMB</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-91bc49ab-e7dd-42bb-88b2-f9259f55f188' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91bc49ab-e7dd-42bb-88b2-f9259f55f188' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6c56b01-5577-467d-95f7-973ce92ca40c' class='xr-var-data-in' type='checkbox'><label for='data-d6c56b01-5577-467d-95f7-973ce92ca40c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_HEAD_ERRBAND</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c5a6cde-2b04-4cca-9bdc-b8de5774108d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c5a6cde-2b04-4cca-9bdc-b8de5774108d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8da4464b-7370-4780-9f82-ffc559ae0059' class='xr-var-data-in' type='checkbox'><label for='data-8da4464b-7370-4780-9f82-ffc559ae0059' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ROLL_CNV</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e8b61631-017e-4682-a9b2-4576998a13f6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e8b61631-017e-4682-a9b2-4576998a13f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00510207-4352-45e9-9578-9e61064ed40e' class='xr-var-data-in' type='checkbox'><label for='data-00510207-4352-45e9-9578-9e61064ed40e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ROLL_TIMEOUT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a271c121-1144-4f01-88cc-8da6c07c9754' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a271c121-1144-4f01-88cc-8da6c07c9754' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1f64703-1fd5-486b-aa3c-f806668bbeff' class='xr-var-data-in' type='checkbox'><label for='data-f1f64703-1fd5-486b-aa3c-f806668bbeff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_R_PORT_OVSHOOT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ba630a4-4081-4cd8-8fed-f9035d60f9bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ba630a4-4081-4cd8-8fed-f9035d60f9bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec597319-9b6b-456b-afec-a387cec4495a' class='xr-var-data-in' type='checkbox'><label for='data-ec597319-9b6b-456b-afec-a387cec4495a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_R_STBD_OVSHOOT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8087727e-0c79-4f4b-97ab-08b4e136c713' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8087727e-0c79-4f4b-97ab-08b4e136c713' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2dfe337-0297-4150-9e92-0ddf931895d1' class='xr-var-data-in' type='checkbox'><label for='data-f2dfe337-0297-4150-9e92-0ddf931895d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ROLL_AD_RATE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce0b802a-1af4-4ed9-adc2-c2b4ba14abf7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce0b802a-1af4-4ed9-adc2-c2b4ba14abf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2626be74-5fdc-4c64-bbfc-9fd2bfdba104' class='xr-var-data-in' type='checkbox'><label for='data-2626be74-5fdc-4c64-bbfc-9fd2bfdba104' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ROLL_MAXERRORS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-24c2144f-11ed-42c1-ad88-8eb4d4b9c2fb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-24c2144f-11ed-42c1-ad88-8eb4d4b9c2fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97eb025c-caec-4776-ab2d-d3bded1a3929' class='xr-var-data-in' type='checkbox'><label for='data-97eb025c-caec-4776-ab2d-d3bded1a3929' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ROLL_ADJ_GAIN</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-89e13452-a9fd-42fc-b9c0-3a9a4414ae90' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-89e13452-a9fd-42fc-b9c0-3a9a4414ae90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-193971bf-a399-4c5a-8b51-28082c72f495' class='xr-var-data-in' type='checkbox'><label for='data-193971bf-a399-4c5a-8b51-28082c72f495' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ROLL_ADJ_DBAND</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-308210bb-6d9a-4567-8396-c36a93ee6c32' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-308210bb-6d9a-4567-8396-c36a93ee6c32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-211b347d-4993-4097-a230-005cbe5a4fc8' class='xr-var-data-in' type='checkbox'><label for='data-211b347d-4993-4097-a230-005cbe5a4fc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_VBD_MIN</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a95daeb4-7214-4c72-a86a-ece1a26837be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a95daeb4-7214-4c72-a86a-ece1a26837be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b04d780-1da7-450c-b2aa-920dd60327e0' class='xr-var-data-in' type='checkbox'><label for='data-9b04d780-1da7-450c-b2aa-920dd60327e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_VBD_MAX</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0af0dcd9-2d37-40ef-9fa7-7b885ff745bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0af0dcd9-2d37-40ef-9fa7-7b885ff745bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1899e4d0-8a9d-49dc-a8e4-53a017d07b48' class='xr-var-data-in' type='checkbox'><label for='data-1899e4d0-8a9d-49dc-a8e4-53a017d07b48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_C_VBD</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6cf23570-2dbe-4bfe-895b-5218042b202f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6cf23570-2dbe-4bfe-895b-5218042b202f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-627e0272-9b7c-435f-8987-db89c68a9c09' class='xr-var-data-in' type='checkbox'><label for='data-627e0272-9b7c-435f-8987-db89c68a9c09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_VBD_DBAND</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0d6a20b-3b80-409b-892c-27538a93aeb1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0d6a20b-3b80-409b-892c-27538a93aeb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee0aa25f-35e2-4b29-a96f-cd392794a57a' class='xr-var-data-in' type='checkbox'><label for='data-ee0aa25f-35e2-4b29-a96f-cd392794a57a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_VBD_CNV</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d2ced3d2-414d-4627-9d91-09ed756974c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2ced3d2-414d-4627-9d91-09ed756974c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0526b0c5-6e87-4305-8e07-d93d01a0933b' class='xr-var-data-in' type='checkbox'><label for='data-0526b0c5-6e87-4305-8e07-d93d01a0933b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_VBD_TIMEOUT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a17d4a30-7e81-4b5e-b2ab-bb69c42d3b26' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a17d4a30-7e81-4b5e-b2ab-bb69c42d3b26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a83c985-3aca-4061-bf20-730ab7d1ab35' class='xr-var-data-in' type='checkbox'><label for='data-1a83c985-3aca-4061-bf20-730ab7d1ab35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PITCH_VBD_SHIFT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5da5fb97-4a44-4f66-9596-39f798d4df2b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5da5fb97-4a44-4f66-9596-39f798d4df2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b73736e-2d4d-440c-ad5b-7f21a56de4b0' class='xr-var-data-in' type='checkbox'><label for='data-2b73736e-2d4d-440c-ad5b-7f21a56de4b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_VBD_PUMP_AD_RATE_SURFACE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cfa908bb-a29a-484d-af66-a32ca39115e6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cfa908bb-a29a-484d-af66-a32ca39115e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ccab6b3-8735-4ccd-a8bd-5edbb16a6ff5' class='xr-var-data-in' type='checkbox'><label for='data-3ccab6b3-8735-4ccd-a8bd-5edbb16a6ff5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_VBD_PUMP_AD_RATE_APOGEE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8d7977f6-2991-425d-b213-2988cd881972' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d7977f6-2991-425d-b213-2988cd881972' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-707fda47-b197-498f-bc7f-e9712deec284' class='xr-var-data-in' type='checkbox'><label for='data-707fda47-b197-498f-bc7f-e9712deec284' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_VBD_BLEED_AD_RATE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5496939a-489c-47e5-8bcd-8150a9766d5d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5496939a-489c-47e5-8bcd-8150a9766d5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bc1f7b8-a898-434b-8c5a-3f4f72a31f3e' class='xr-var-data-in' type='checkbox'><label for='data-7bc1f7b8-a898-434b-8c5a-3f4f72a31f3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_UNCOM_BLEED</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-de65ef62-c38f-4b93-8acb-50e8e4c17346' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de65ef62-c38f-4b93-8acb-50e8e4c17346' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b916074-c9ba-4253-b440-3bd55ffd3360' class='xr-var-data-in' type='checkbox'><label for='data-3b916074-c9ba-4253-b440-3bd55ffd3360' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_VBD_MAXERRORS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6eb644f-af93-4442-91c4-d26352eec94e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c6eb644f-af93-4442-91c4-d26352eec94e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50b598a1-9b48-4e2a-bf3b-892c03250aac' class='xr-var-data-in' type='checkbox'><label for='data-50b598a1-9b48-4e2a-bf3b-892c03250aac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_W_ADJ_DBAND</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-38ada1e2-4a6c-4f1a-ba2e-9fe8409d7be7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38ada1e2-4a6c-4f1a-ba2e-9fe8409d7be7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3de26831-6aef-4040-afab-d9b0f4c39254' class='xr-var-data-in' type='checkbox'><label for='data-3de26831-6aef-4040-afab-d9b0f4c39254' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DBDW</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-12667635-b7e2-4b07-8334-3e488c5c6a36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12667635-b7e2-4b07-8334-3e488c5c6a36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea29c31c-88a1-4e5a-8665-a63e2e84f8f1' class='xr-var-data-in' type='checkbox'><label for='data-ea29c31c-88a1-4e5a-8665-a63e2e84f8f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PITCH_W_GAIN</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d8db0d3-9171-4468-8905-c64be778af05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d8db0d3-9171-4468-8905-c64be778af05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c90fbf1-7e42-4549-aa01-943b7c92b8d3' class='xr-var-data-in' type='checkbox'><label for='data-4c90fbf1-7e42-4549-aa01-943b7c92b8d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PITCH_W_DBAND</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-14698ea9-0a7d-4e9d-a685-aacdc0f50925' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-14698ea9-0a7d-4e9d-a685-aacdc0f50925' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2705e739-903c-41f3-a135-75a6c751b377' class='xr-var-data-in' type='checkbox'><label for='data-2705e739-903c-41f3-a135-75a6c751b377' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_CF8_MAXERRORS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d0100d9-1887-4243-bf62-9e9c87018b7b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d0100d9-1887-4243-bf62-9e9c87018b7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb6e5a94-ebf2-4e64-ba17-2b6fe53695c7' class='xr-var-data-in' type='checkbox'><label for='data-eb6e5a94-ebf2-4e64-ba17-2b6fe53695c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_AH0_24V</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-18181043-7eb2-42a1-9db1-a9f95092c24a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18181043-7eb2-42a1-9db1-a9f95092c24a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4891cf73-6194-4fb8-b5c9-b91e1ef7f2fc' class='xr-var-data-in' type='checkbox'><label for='data-4891cf73-6194-4fb8-b5c9-b91e1ef7f2fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_AH0_10V</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-292bdf38-9d90-414c-801b-2096002e5c4b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-292bdf38-9d90-414c-801b-2096002e5c4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bd56aba-f5b4-40f0-965a-a8caab348c36' class='xr-var-data-in' type='checkbox'><label for='data-6bd56aba-f5b4-40f0-965a-a8caab348c36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_MINV_24V</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-40c01ac7-6af8-4f74-9531-ed20a0f7ef74' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-40c01ac7-6af8-4f74-9531-ed20a0f7ef74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-865810cb-8e9a-45fc-be27-5f0c0cd71df6' class='xr-var-data-in' type='checkbox'><label for='data-865810cb-8e9a-45fc-be27-5f0c0cd71df6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_MINV_10V</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-872f7c2f-8ff5-4035-a702-cf6baa3426f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-872f7c2f-8ff5-4035-a702-cf6baa3426f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dfea2cb-7e50-4d5c-8713-2a3fb79ef402' class='xr-var-data-in' type='checkbox'><label for='data-4dfea2cb-7e50-4d5c-8713-2a3fb79ef402' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_FG_AHR_10V</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c385586-e23a-434d-b7d9-d094c5714226' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c385586-e23a-434d-b7d9-d094c5714226' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19554ec1-eb2a-4801-8beb-3b04ead9da91' class='xr-var-data-in' type='checkbox'><label for='data-19554ec1-eb2a-4801-8beb-3b04ead9da91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_FG_AHR_24V</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6708370a-cb6f-4ad7-8416-c60bf006096a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6708370a-cb6f-4ad7-8416-c60bf006096a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6aa93a3a-af4b-46e3-a917-263576e6b1df' class='xr-var-data-in' type='checkbox'><label for='data-6aa93a3a-af4b-46e3-a917-263576e6b1df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PHONE_SUPPLY</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fdb9beeb-528e-48bb-8822-402969c7a715' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fdb9beeb-528e-48bb-8822-402969c7a715' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0d88048-c56b-4db9-a0a5-09355f374762' class='xr-var-data-in' type='checkbox'><label for='data-c0d88048-c56b-4db9-a0a5-09355f374762' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PRESSURE_YINT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f8b24a9f-8b01-4c20-a491-0da40202b742' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f8b24a9f-8b01-4c20-a491-0da40202b742' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72655165-c310-49e7-b861-d253ad04ddfe' class='xr-var-data-in' type='checkbox'><label for='data-72655165-c310-49e7-b861-d253ad04ddfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PRESSURE_SLOPE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a9caed1-d353-43a6-87ee-a3cdb33df6ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a9caed1-d353-43a6-87ee-a3cdb33df6ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40dde2aa-a8a7-4bf0-ac3f-58b093eb7d66' class='xr-var-data-in' type='checkbox'><label for='data-40dde2aa-a8a7-4bf0-ac3f-58b093eb7d66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_AD7714Ch0Gain</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-58dab565-d689-4738-a8ae-052eb41dea75' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58dab565-d689-4738-a8ae-052eb41dea75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-668030aa-b1c3-4a15-8c3c-b3a4ed356f18' class='xr-var-data-in' type='checkbox'><label for='data-668030aa-b1c3-4a15-8c3c-b3a4ed356f18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_TCM_PITCH_OFFSET</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-208bbe75-c78c-490a-8ecc-904a7f793d05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-208bbe75-c78c-490a-8ecc-904a7f793d05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fefab55-940d-48c8-a262-6c6c3980da24' class='xr-var-data-in' type='checkbox'><label for='data-7fefab55-940d-48c8-a262-6c6c3980da24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_TCM_ROLL_OFFSET</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e61a4fb1-f7e0-478d-8863-04e17ffce951' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e61a4fb1-f7e0-478d-8863-04e17ffce951' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-145a874e-8da9-45c9-b3f8-6ae7eaad457d' class='xr-var-data-in' type='checkbox'><label for='data-145a874e-8da9-45c9-b3f8-6ae7eaad457d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_COMPASS_USE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2756616-c0fa-4b77-8d6e-0be5b6d48356' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b2756616-c0fa-4b77-8d6e-0be5b6d48356' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5b2a106-1ccd-4cc9-ba9e-32ae9d1f6949' class='xr-var-data-in' type='checkbox'><label for='data-e5b2a106-1ccd-4cc9-ba9e-32ae9d1f6949' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ALTIM_BOTTOM_PING_RANGE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-afd77f23-bb1c-4d78-8ee9-470bb8c559f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-afd77f23-bb1c-4d78-8ee9-470bb8c559f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f2cb07d-705b-4b33-9544-9687821a328f' class='xr-var-data-in' type='checkbox'><label for='data-1f2cb07d-705b-4b33-9544-9687821a328f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ALTIM_TOP_PING_RANGE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e30a75d5-7ce1-4266-b9d2-4ecf39fede1f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e30a75d5-7ce1-4266-b9d2-4ecf39fede1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d9fefba-722b-441a-abae-013fd5b31014' class='xr-var-data-in' type='checkbox'><label for='data-3d9fefba-722b-441a-abae-013fd5b31014' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ALTIM_BOTTOM_TURN_MARGIN</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0c3ea6d6-633a-4bf8-aeda-e43fdc4f051f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c3ea6d6-633a-4bf8-aeda-e43fdc4f051f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f39cc228-b025-4a0a-a830-e6299f0a12ab' class='xr-var-data-in' type='checkbox'><label for='data-f39cc228-b025-4a0a-a830-e6299f0a12ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ALTIM_TOP_TURN_MARGIN</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f326c899-5f12-4cdf-89ae-1549641861d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f326c899-5f12-4cdf-89ae-1549641861d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0ddb1e5-12ab-4f56-a9d9-960b0ab65ce8' class='xr-var-data-in' type='checkbox'><label for='data-d0ddb1e5-12ab-4f56-a9d9-960b0ab65ce8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ALTIM_TOP_MIN_OBSTACLE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ba682244-39f8-4763-b54e-25d1d2fb04b6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba682244-39f8-4763-b54e-25d1d2fb04b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbb9c46c-4d6f-42b4-8751-b11a2bd3f7df' class='xr-var-data-in' type='checkbox'><label for='data-fbb9c46c-4d6f-42b4-8751-b11a2bd3f7df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ALTIM_PING_DEPTH</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ddff227-b2f5-4451-944c-e9d58f922bfb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ddff227-b2f5-4451-944c-e9d58f922bfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-967c2f5f-d9f1-40ff-af85-75c9e78d4e4c' class='xr-var-data-in' type='checkbox'><label for='data-967c2f5f-d9f1-40ff-af85-75c9e78d4e4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ALTIM_PING_DELTA</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-60b4cad1-3eed-47a7-b41f-987609feaac8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-60b4cad1-3eed-47a7-b41f-987609feaac8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7620ce60-d6ca-46f8-8555-a9e5aea1ff5a' class='xr-var-data-in' type='checkbox'><label for='data-7620ce60-d6ca-46f8-8555-a9e5aea1ff5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ALTIM_FREQUENCY</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-80e044bb-93af-4591-a627-34a2db113a48' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-80e044bb-93af-4591-a627-34a2db113a48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25df978a-f9aa-4509-ac0c-ddc467a72f32' class='xr-var-data-in' type='checkbox'><label for='data-25df978a-f9aa-4509-ac0c-ddc467a72f32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ALTIM_PULSE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd5da9ff-1541-4a49-8066-f895694c5f68' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd5da9ff-1541-4a49-8066-f895694c5f68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5d8f204-3e61-474a-a7b8-f5d4f3be8169' class='xr-var-data-in' type='checkbox'><label for='data-f5d8f204-3e61-474a-a7b8-f5d4f3be8169' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_ALTIM_SENSITIVITY</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9a10bd96-035b-40cc-8486-e2771fde22f8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a10bd96-035b-40cc-8486-e2771fde22f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97d6e874-93cc-4d67-a348-d4b2abf56933' class='xr-var-data-in' type='checkbox'><label for='data-97d6e874-93cc-4d67-a348-d4b2abf56933' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_XPDR_VALID</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5a74cc6-c5e3-416f-a1e8-c3be63b89cf4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e5a74cc6-c5e3-416f-a1e8-c3be63b89cf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52f398ea-7f5d-4aaa-85a1-5833ebc0d3c9' class='xr-var-data-in' type='checkbox'><label for='data-52f398ea-7f5d-4aaa-85a1-5833ebc0d3c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_XPDR_INHIBIT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-51451fb3-36ba-4062-b741-d5b90417279a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-51451fb3-36ba-4062-b741-d5b90417279a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff04b86c-c996-4b3f-9d0c-4ab9b87607c4' class='xr-var-data-in' type='checkbox'><label for='data-ff04b86c-c996-4b3f-9d0c-4ab9b87607c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_INT_PRESSURE_SLOPE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-91b92399-266b-4ac5-ad9c-967aed9ec0f3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91b92399-266b-4ac5-ad9c-967aed9ec0f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-508fec96-13dc-41df-8768-f5d6c5d51622' class='xr-var-data-in' type='checkbox'><label for='data-508fec96-13dc-41df-8768-f5d6c5d51622' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_INT_PRESSURE_YINT</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf66a5fb-882d-4856-99d3-3592a71aec57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bf66a5fb-882d-4856-99d3-3592a71aec57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e749b9fb-ea05-4e92-a3f1-f4e929696c3d' class='xr-var-data-in' type='checkbox'><label for='data-e749b9fb-ea05-4e92-a3f1-f4e929696c3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DEEPGLIDER</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e454bacf-0cb2-4776-b52b-3bf06fe03ce3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e454bacf-0cb2-4776-b52b-3bf06fe03ce3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22242635-f7e6-4fc6-a8f8-b9599461076f' class='xr-var-data-in' type='checkbox'><label for='data-22242635-f7e6-4fc6-a8f8-b9599461076f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DEEPGLIDERMB</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c55a8484-ebc7-4846-9c56-fe0cc83c7fc4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c55a8484-ebc7-4846-9c56-fe0cc83c7fc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a994a9c-90b4-4cfe-896b-ab118760bfcf' class='xr-var-data-in' type='checkbox'><label for='data-7a994a9c-90b4-4cfe-896b-ab118760bfcf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_MOTHERBOARD</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8751efbd-0ff1-483a-8c78-fb703a1e5ef7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8751efbd-0ff1-483a-8c78-fb703a1e5ef7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-983f1c39-cccc-4793-887d-c616e2301a67' class='xr-var-data-in' type='checkbox'><label for='data-983f1c39-cccc-4793-887d-c616e2301a67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DEVICE1</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b79cd5fa-155c-4a25-b872-a8f862cd25a3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b79cd5fa-155c-4a25-b872-a8f862cd25a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a139a21d-1a8b-4db3-9e1d-412f70fb78b9' class='xr-var-data-in' type='checkbox'><label for='data-a139a21d-1a8b-4db3-9e1d-412f70fb78b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DEVICE2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b53ed38-de01-466d-adc0-69e820f5e5bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b53ed38-de01-466d-adc0-69e820f5e5bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-859282bf-a458-4fdc-843e-dfd7dcb6a934' class='xr-var-data-in' type='checkbox'><label for='data-859282bf-a458-4fdc-843e-dfd7dcb6a934' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DEVICE3</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f3bb536a-fc09-4aba-ba6d-a99bfc82e0c6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f3bb536a-fc09-4aba-ba6d-a99bfc82e0c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-789b8305-6b21-4267-b7b6-0141a677dcfc' class='xr-var-data-in' type='checkbox'><label for='data-789b8305-6b21-4267-b7b6-0141a677dcfc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DEVICE4</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98e33eff-13ba-4ddc-bb01-7ba5c1a0e5e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98e33eff-13ba-4ddc-bb01-7ba5c1a0e5e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-755185b8-87db-4fa9-8a93-fa73abe91150' class='xr-var-data-in' type='checkbox'><label for='data-755185b8-87db-4fa9-8a93-fa73abe91150' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DEVICE5</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-90c2ab8f-4b1e-4d6a-87f7-f1a0e9c76cdc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90c2ab8f-4b1e-4d6a-87f7-f1a0e9c76cdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6d71e67-34ec-4fdc-9507-f7deeaa2cd6d' class='xr-var-data-in' type='checkbox'><label for='data-d6d71e67-34ec-4fdc-9507-f7deeaa2cd6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_DEVICE6</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e4a59f81-13e7-46ac-8d80-0963ff254a6e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4a59f81-13e7-46ac-8d80-0963ff254a6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-384cd0af-238b-489a-abd6-221a692b2cd1' class='xr-var-data-in' type='checkbox'><label for='data-384cd0af-238b-489a-abd6-221a692b2cd1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_LOGGERS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-99f290af-e874-467c-8551-10cf441ba7db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99f290af-e874-467c-8551-10cf441ba7db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b039bb61-4240-4e2e-97ac-c0c843b94882' class='xr-var-data-in' type='checkbox'><label for='data-b039bb61-4240-4e2e-97ac-c0c843b94882' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_LOGGERDEVICE1</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f526b6a5-9654-4d65-addd-7916b2623c8a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f526b6a5-9654-4d65-addd-7916b2623c8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41e13b6d-a62a-4fdc-a696-e0f5395a4258' class='xr-var-data-in' type='checkbox'><label for='data-41e13b6d-a62a-4fdc-a696-e0f5395a4258' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_LOGGERDEVICE2</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2fd54097-e27c-48f5-9ef2-ad4c3d43f77e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2fd54097-e27c-48f5-9ef2-ad4c3d43f77e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd621456-d66a-4035-afad-51470f6fb183' class='xr-var-data-in' type='checkbox'><label for='data-dd621456-d66a-4035-afad-51470f6fb183' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_LOGGERDEVICE3</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-28fc5abb-71fb-47eb-8b2f-20c30d2c1eb0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-28fc5abb-71fb-47eb-8b2f-20c30d2c1eb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81617861-5573-4280-872d-079dcb0783ab' class='xr-var-data-in' type='checkbox'><label for='data-81617861-5573-4280-872d-079dcb0783ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_LOGGERDEVICE4</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-774a0bc0-6dd2-457a-812b-a51cfeb51a28' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-774a0bc0-6dd2-457a-812b-a51cfeb51a28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d34fc02a-8402-4932-96bf-ee03e1482177' class='xr-var-data-in' type='checkbox'><label for='data-d34fc02a-8402-4932-96bf-ee03e1482177' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_COMPASS_DEVICE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f48d1e96-e80d-4c50-a122-bc26cdfaa06d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f48d1e96-e80d-4c50-a122-bc26cdfaa06d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cc1aaf0-7e30-49f4-b781-066d413ec18a' class='xr-var-data-in' type='checkbox'><label for='data-7cc1aaf0-7e30-49f4-b781-066d413ec18a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_COMPASS2_DEVICE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d165cb2-e8b9-4a64-8c11-f5dea0a16a98' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d165cb2-e8b9-4a64-8c11-f5dea0a16a98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7eb47b3e-ffc3-45f3-a1a6-bb34eee5de51' class='xr-var-data-in' type='checkbox'><label for='data-7eb47b3e-ffc3-45f3-a1a6-bb34eee5de51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_PHONE_DEVICE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0116b289-7631-4e19-a4a8-4f7e6626da5d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0116b289-7631-4e19-a4a8-4f7e6626da5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47c0ed96-84a0-49ca-b96d-b6f67300177f' class='xr-var-data-in' type='checkbox'><label for='data-47c0ed96-84a0-49ca-b96d-b6f67300177f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_GPS_DEVICE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fb5a9356-5911-4746-80d0-77955c92722b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb5a9356-5911-4746-80d0-77955c92722b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83c46d30-6d8b-4678-95b4-beed9d276948' class='xr-var-data-in' type='checkbox'><label for='data-83c46d30-6d8b-4678-95b4-beed9d276948' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_RAFOS_DEVICE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3634d3a8-8fbb-45f5-9d09-6e229de9226a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3634d3a8-8fbb-45f5-9d09-6e229de9226a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94ba8c41-6e6c-4d85-b5c2-9cf46cc604e2' class='xr-var-data-in' type='checkbox'><label for='data-94ba8c41-6e6c-4d85-b5c2-9cf46cc604e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_XPDR_DEVICE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b4dd34b-97ed-4d64-a540-9af52abd7586' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b4dd34b-97ed-4d64-a540-9af52abd7586' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e40d05e0-83e1-4df8-861b-87dcf8e72a1f' class='xr-var-data-in' type='checkbox'><label for='data-e40d05e0-83e1-4df8-861b-87dcf8e72a1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SIM_W</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1e452e67-fe24-4e64-81ff-cdc863ff08e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e452e67-fe24-4e64-81ff-cdc863ff08e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87f37d61-db7f-4bdd-92ec-c870ff5066ce' class='xr-var-data-in' type='checkbox'><label for='data-87f37d61-db7f-4bdd-92ec-c870ff5066ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SIM_PITCH</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c13c1b7c-919a-428f-aaff-c4f82eb83d05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c13c1b7c-919a-428f-aaff-c4f82eb83d05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5af1b795-32e6-4064-9922-7e233d69949b' class='xr-var-data-in' type='checkbox'><label for='data-5af1b795-32e6-4064-9922-7e233d69949b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SEABIRD_T_G</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-08c6b470-5616-40d4-8a5f-ad2c2549afa7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08c6b470-5616-40d4-8a5f-ad2c2549afa7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcdf765e-8313-40ed-a7ce-ef9dfbd8a1b7' class='xr-var-data-in' type='checkbox'><label for='data-bcdf765e-8313-40ed-a7ce-ef9dfbd8a1b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SEABIRD_T_H</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0ab6bf24-0deb-4483-a217-789ffbb070ca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ab6bf24-0deb-4483-a217-789ffbb070ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79ec207c-0d8e-49ac-b337-d835ff82d8ba' class='xr-var-data-in' type='checkbox'><label for='data-79ec207c-0d8e-49ac-b337-d835ff82d8ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SEABIRD_T_I</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-91f553a0-9c17-4450-98ef-8dbd9f03282b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91f553a0-9c17-4450-98ef-8dbd9f03282b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c6b28d1-bed0-4842-bbba-ae60480486f9' class='xr-var-data-in' type='checkbox'><label for='data-8c6b28d1-bed0-4842-bbba-ae60480486f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SEABIRD_T_J</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-62a865d8-1971-4b5f-bbef-d8f4693e59ae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-62a865d8-1971-4b5f-bbef-d8f4693e59ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b568a1d-d6fd-4cf0-8981-882da69f6f46' class='xr-var-data-in' type='checkbox'><label for='data-1b568a1d-d6fd-4cf0-8981-882da69f6f46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SEABIRD_C_G</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ea94438-9bb4-4be7-853a-5c1b8be475ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ea94438-9bb4-4be7-853a-5c1b8be475ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-873837b5-20de-4b49-89ce-6e5afa49cd04' class='xr-var-data-in' type='checkbox'><label for='data-873837b5-20de-4b49-89ce-6e5afa49cd04' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SEABIRD_C_H</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1479b677-d50c-4054-8034-040a4c11229f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1479b677-d50c-4054-8034-040a4c11229f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d8a504b-1a8d-40cc-9983-2f60e355fefe' class='xr-var-data-in' type='checkbox'><label for='data-4d8a504b-1a8d-40cc-9983-2f60e355fefe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SEABIRD_C_I</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ddd28fff-c193-42e1-8ff9-9f28b28ed76c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ddd28fff-c193-42e1-8ff9-9f28b28ed76c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e4bc003-0c91-4f1a-806a-54bbd9c23c77' class='xr-var-data-in' type='checkbox'><label for='data-9e4bc003-0c91-4f1a-806a-54bbd9c23c77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_SEABIRD_C_J</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-438fefb6-b15f-415c-a57e-79c77801b3f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-438fefb6-b15f-415c-a57e-79c77801b3f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-202365dd-6fa8-498b-8d47-c1687c3e5deb' class='xr-var-data-in' type='checkbox'><label for='data-202365dd-6fa8-498b-8d47-c1687c3e5deb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log__CALLS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-54294d8d-7581-4d0f-93e2-896d1591abde' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-54294d8d-7581-4d0f-93e2-896d1591abde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e58b5ef2-27e4-45f1-94c2-e839f1ba35ce' class='xr-var-data-in' type='checkbox'><label for='data-e58b5ef2-27e4-45f1-94c2-e839f1ba35ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log__XMS_NAKs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1411bbe2-80f8-480d-9799-ff68280ddaa1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1411bbe2-80f8-480d-9799-ff68280ddaa1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e39ff9e-2bcd-4894-abea-beb1b3909e14' class='xr-var-data-in' type='checkbox'><label for='data-6e39ff9e-2bcd-4894-abea-beb1b3909e14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log__XMS_TOUTs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8a42e72a-8035-4e2b-9fa2-3e7f8e3f2994' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a42e72a-8035-4e2b-9fa2-3e7f8e3f2994' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f8d074d-0755-470f-b42f-a40a18e7545c' class='xr-var-data-in' type='checkbox'><label for='data-0f8d074d-0755-470f-b42f-a40a18e7545c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log__SM_DEPTHo</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e1c307df-b941-4396-80bb-56cde33add99' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1c307df-b941-4396-80bb-56cde33add99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c5f959d-9dd9-416d-b3c5-c41c2caade07' class='xr-var-data-in' type='checkbox'><label for='data-1c5f959d-9dd9-416d-b3c5-c41c2caade07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log__SM_ANGLEo</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-66dc5b88-2f3c-44be-aca4-7d57becf2a71' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-66dc5b88-2f3c-44be-aca4-7d57becf2a71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33a4f12d-dff4-443f-954c-ba25ce48a5f5' class='xr-var-data-in' type='checkbox'><label for='data-33a4f12d-dff4-443f-954c-ba25ce48a5f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_TGT_RADIUS</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b6f95190-3ca6-453c-a25f-5d2511a0e701' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6f95190-3ca6-453c-a25f-5d2511a0e701' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e230939-babb-4b54-92d7-93f30b75b46a' class='xr-var-data-in' type='checkbox'><label for='data-0e230939-babb-4b54-92d7-93f30b75b46a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_D_GRID</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-568d2edc-e3b2-4139-9d8d-cab675fb9986' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-568d2edc-e3b2-4139-9d8d-cab675fb9986' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f29518a-96f7-403c-9626-6bd7a7486b61' class='xr-var-data-in' type='checkbox'><label for='data-7f29518a-96f7-403c-9626-6bd7a7486b61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_HUMID</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-05bb890b-701d-45ca-b3d3-5cff353431ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-05bb890b-701d-45ca-b3d3-5cff353431ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bb53252-bcc5-4c8d-8d16-17605f27240f' class='xr-var-data-in' type='checkbox'><label for='data-6bb53252-bcc5-4c8d-8d16-17605f27240f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_INTERNAL_PRESSURE</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c144431-56d9-46fb-8389-a27ef547104d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c144431-56d9-46fb-8389-a27ef547104d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba793d6b-4605-4299-990a-13014be346e4' class='xr-var-data-in' type='checkbox'><label for='data-ba793d6b-4605-4299-990a-13014be346e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_TCM_TEMP</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cb4c1617-c3e7-4ccc-829c-4f986b99fa9e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cb4c1617-c3e7-4ccc-829c-4f986b99fa9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed4061d4-43c3-45d1-a03c-6bdee058f7f8' class='xr-var-data-in' type='checkbox'><label for='data-ed4061d4-43c3-45d1-a03c-6bdee058f7f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_FG_AHR_24Vo</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-038f1b29-e6f5-48ae-8037-ee26f24e0433' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-038f1b29-e6f5-48ae-8037-ee26f24e0433' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c72e71f2-be5b-4956-bca2-d2272fe7ece7' class='xr-var-data-in' type='checkbox'><label for='data-c72e71f2-be5b-4956-bca2-d2272fe7ece7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>log_FG_AHR_10Vo</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-15b052db-8aad-499b-b210-4b46cbbf430d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15b052db-8aad-499b-b210-4b46cbbf430d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7daecc6-466f-4dad-b40b-94ad2c63f8f8' class='xr-var-data-in' type='checkbox'><label for='data-a7daecc6-466f-4dad-b40b-94ad2c63f8f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>avg_latitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-420df3d8-be37-4a08-9e07-fb6d398f5bb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-420df3d8-be37-4a08-9e07-fb6d398f5bb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b10a22e2-18fa-46e2-95b1-c823e8e78639' class='xr-var-data-in' type='checkbox'><label for='data-b10a22e2-18fa-46e2-95b1-c823e8e78639' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>comment :</span></dt><dd>The average latitude of the dive</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>avg_longitude</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-830bdd1b-7bdb-4fce-b106-95e2f12cfe03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-830bdd1b-7bdb-4fce-b106-95e2f12cfe03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a06dd7ee-4e3e-4159-97a6-b788af33496f' class='xr-var-data-in' type='checkbox'><label for='data-a06dd7ee-4e3e-4159-97a6-b788af33496f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>comment :</span></dt><dd>The average longitude of the dive</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>magnetic_variation</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3224289-f73e-475f-bb87-568033c61ca3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3224289-f73e-475f-bb87-568033c61ca3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d21751c2-64e5-4666-b48e-a11cbff219f0' class='xr-var-data-in' type='checkbox'><label for='data-d21751c2-64e5-4666-b48e-a11cbff219f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>The magnetic variance from true north (degrees)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>start_of_climb_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4afc9f58-c389-4a73-9a11-3c7b29de3b5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4afc9f58-c389-4a73-9a11-3c7b29de3b5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-148d7120-c967-4e3b-9082-f5c64e34bd46' class='xr-var-data-in' type='checkbox'><label for='data-148d7120-c967-4e3b-9082-f5c64e34bd46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Elapsed seconds after dive start when second (positive) apogee pump starts</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=timedelta64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_curr_east</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4685e1e2-305e-4202-b546-fce1688c2442' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4685e1e2-305e-4202-b546-fce1688c2442' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b9c35ea-e187-4f7a-8d11-b6ac9841321b' class='xr-var-data-in' type='checkbox'><label for='data-5b9c35ea-e187-4f7a-8d11-b6ac9841321b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_eastward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>cm/s</dd><dt><span>comment :</span></dt><dd>Eastward component of surface current</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_curr_north</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-961a6f6e-2ae0-4b9d-962e-4351a5b70175' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-961a6f6e-2ae0-4b9d-962e-4351a5b70175' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92df5a1a-4fbf-4d02-a7df-e17bf7ac0ea3' class='xr-var-data-in' type='checkbox'><label for='data-92df5a1a-4fbf-4d02-a7df-e17bf7ac0ea3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_northward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>cm/s</dd><dt><span>comment :</span></dt><dd>Northward component of surface current</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface_curr_error</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c589718-31a1-4df6-bb89-ff5d9f2a8619' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c589718-31a1-4df6-bb89-ff5d9f2a8619' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd186e75-67da-4507-bb50-b9fcd77f397a' class='xr-var-data-in' type='checkbox'><label for='data-cd186e75-67da-4507-bb50-b9fcd77f397a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>comment :</span></dt><dd>Expected error of surface drift current from GPS</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>flight_avg_speed_east_gsm</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98f31d1d-975b-450d-b673-f55a29e66635' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98f31d1d-975b-450d-b673-f55a29e66635' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-942da05a-549e-41bc-bdd3-9ce267d147be' class='xr-var-data-in' type='checkbox'><label for='data-942da05a-549e-41bc-bdd3-9ce267d147be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>comment :</span></dt><dd>Eastward component of flight average speed based on gsm</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>flight_avg_speed_north_gsm</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5662eefe-8a2c-42c9-905f-4e946e9d7cc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5662eefe-8a2c-42c9-905f-4e946e9d7cc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e4efdbc-bac7-4f62-ad1f-825e8030c82a' class='xr-var-data-in' type='checkbox'><label for='data-3e4efdbc-bac7-4f62-ad1f-825e8030c82a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>comment :</span></dt><dd>Northward component of flight average speed based on gsm</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>flight_avg_speed_east</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1a11a8a8-90ea-446b-a258-c604da9f2f90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a11a8a8-90ea-446b-a258-c604da9f2f90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bfd321c-b53c-4b70-a5cd-ac5f53189297' class='xr-var-data-in' type='checkbox'><label for='data-0bfd321c-b53c-4b70-a5cd-ac5f53189297' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>comment :</span></dt><dd>Eastward component of flight average speed based on hdm</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>flight_avg_speed_north</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-39690298-6e7f-4f4b-8cdd-48c32251cb73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39690298-6e7f-4f4b-8cdd-48c32251cb73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f56641b-2f63-479b-967d-457d7fa02646' class='xr-var-data-in' type='checkbox'><label for='data-2f56641b-2f63-479b-967d-457d7fa02646' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>comment :</span></dt><dd>Northward component of flight average speed based on hdm</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GPS_north_displacement_m</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78e332ec-f3cb-4f4c-b758-8364d2d69b55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78e332ec-f3cb-4f4c-b758-8364d2d69b55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcd5f83c-b54d-4496-b202-2facd45296c5' class='xr-var-data-in' type='checkbox'><label for='data-fcd5f83c-b54d-4496-b202-2facd45296c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>comment :</span></dt><dd>Total vehicle northward displacement based on GPS2 and GPSE locations</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>GPS_east_displacement_m</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5f11bb2-156e-489f-bcd9-4334aede351c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5f11bb2-156e-489f-bcd9-4334aede351c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a28348d9-e5f7-4fc2-91ae-f2a94a3d1ba1' class='xr-var-data-in' type='checkbox'><label for='data-a28348d9-e5f7-4fc2-91ae-f2a94a3d1ba1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd><dt><span>comment :</span></dt><dd>Total vehicle eastward displacement based on GPS2 and GPSE locations</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_flight_time_s</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-95f32c66-f643-47ee-ad3b-b04ea333af05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95f32c66-f643-47ee-ad3b-b04ea333af05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f77561d8-4380-4ee5-b212-e55d1feb57e9' class='xr-var-data-in' type='checkbox'><label for='data-f77561d8-4380-4ee5-b212-e55d1feb57e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s</dd><dt><span>comment :</span></dt><dd>Total flight time seconds including surface maneuver drift time</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth_avg_curr_east_gsm</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2a75bde3-3ca8-4d33-b999-ac881f40de76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a75bde3-3ca8-4d33-b999-ac881f40de76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2aca3bfe-78ca-48a4-866b-790bd37f9e6f' class='xr-var-data-in' type='checkbox'><label for='data-2aca3bfe-78ca-48a4-866b-790bd37f9e6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>comment :</span></dt><dd>Eastward component of depth-average current based on gsm</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth_avg_curr_north_gsm</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4bda11bf-2f02-48dd-be98-64126481cedc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bda11bf-2f02-48dd-be98-64126481cedc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-060f2e94-1d23-40e1-88d8-01a902ddf8c0' class='xr-var-data-in' type='checkbox'><label for='data-060f2e94-1d23-40e1-88d8-01a902ddf8c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>comment :</span></dt><dd>Northward component of depth-average current based on gsm</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth_avg_curr_east</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c424d88b-757d-44df-bd94-0f2d19a64a2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c424d88b-757d-44df-bd94-0f2d19a64a2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a45899e1-65a0-4fb4-b6cf-44e02e040cfd' class='xr-var-data-in' type='checkbox'><label for='data-a45899e1-65a0-4fb4-b6cf-44e02e040cfd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>eastward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>comment :</span></dt><dd>Eastward component of the dive depth-average current based on hdm</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth_avg_curr_north</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-40097323-0a5a-4b05-8220-6e29eb9f1ad8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40097323-0a5a-4b05-8220-6e29eb9f1ad8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b841eb8-e653-436d-aecf-49b8dd290fa9' class='xr-var-data-in' type='checkbox'><label for='data-3b841eb8-e653-436d-aecf-49b8dd290fa9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>northward_sea_water_velocity</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>comment :</span></dt><dd>Northward component of the dive depth-average current based on hdm</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth_avg_curr_error</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-45862484-a8b8-4526-8193-0083dc7fef5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45862484-a8b8-4526-8193-0083dc7fef5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03bc4d92-3a6d-4c42-852e-23bc631d3b69' class='xr-var-data-in' type='checkbox'><label for='data-03bc4d92-3a6d-4c42-852e-23bc631d3b69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd><dt><span>comment :</span></dt><dd>Expected error of depth-average current from GPS</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>reviewed</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e00d5da8-1d79-435e-afc9-f00280392397' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e00d5da8-1d79-435e-afc9-f00280392397' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92996ada-7cad-43d7-89fe-e42142691826' class='xr-var-data-in' type='checkbox'><label for='data-92996ada-7cad-43d7-89fe-e42142691826' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Whether a scientist has reviewed and approved this profile</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-69455496-a2c6-467c-9a8c-017d359b8179' class='xr-section-summary-in' type='checkbox'  ><label for='section-69455496-a2c6-467c-9a8c-017d359b8179' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>trajectory</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dba6200a-2eb7-4b23-b74f-8b811769329c' class='xr-index-data-in' type='checkbox'/><label for='index-dba6200a-2eb7-4b23-b74f-8b811769329c' 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([5], dtype=&#x27;int64&#x27;, name=&#x27;trajectory&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f17acb25-7369-4e7b-ab91-b4e4441461d4' class='xr-section-summary-in' type='checkbox'  ><label for='section-f17acb25-7369-4e7b-ab91-b4e4441461d4' class='xr-section-summary' >Attributes: <span>(48)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>time_coverage_start :</span></dt><dd>2023-05-12T19:05:17Z</dd><dt><span>time_coverage_end :</span></dt><dd>2023-05-12T20:05:19Z</dd><dt><span>geospatial_lat_min :</span></dt><dd>47.71529999999999</dd><dt><span>geospatial_lat_max :</span></dt><dd>47.72470982097746</dd><dt><span>geospatial_lon_min :</span></dt><dd>-122.3988</dd><dt><span>geospatial_lon_max :</span></dt><dd>-122.39744937788291</dd><dt><span>time_coverage_resolution :</span></dt><dd>PT1S</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.3393587208211447</dd><dt><span>geospatial_vertical_max :</span></dt><dd>165.68974399827462</dd><dt><span>geospatial_vertical_units :</span></dt><dd>meter</dd><dt><span>geospatial_vertical_resolution :</span></dt><dd>centimeter</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>no</dd><dt><span>id :</span></dt><dd>p1750005_20230512</dd><dt><span>platform_id :</span></dt><dd>SG175</dd><dt><span>source :</span></dt><dd>Seaglider SG175</dd><dt><span>platform :</span></dt><dd>glider</dd><dt><span>summary :</span></dt><dd>SG175 UWSSC Mission 002-first deployment</dd><dt><span>project :</span></dt><dd>UWSSC Mission 002-first deployment</dd><dt><span>history :</span></dt><dd>Processing start:\n",
              "INFO: FlightModel.py(833): Updating FM parameters using per-dive estimations for dive 5 (1.00,1.00)\n",
              "INFO: MakeDiveProfiles.py(2567): FM: volmax=51208.6\n",
              "INFO: MakeDiveProfiles.py(2567): FM: vbdbias=56.0819\n",
              "INFO: MakeDiveProfiles.py(2567): FM: hd_a=0.00398107\n",
              "INFO: MakeDiveProfiles.py(2567): FM: hd_b=0.010145\n",
              "INFO: MakeDiveProfiles.py(2567): FM: hd_c=5.7e-06\n",
              "INFO: MakeDiveProfiles.py(2567): FM: hd_s=-0.25\n",
              "INFO: MakeDiveProfiles.py(2567): FM: abs_compress=3.92694e-06\n",
              "INFO: MakeDiveProfiles.py(2567): FM: therm_expan=7.05e-05\n",
              "INFO: MakeDiveProfiles.py(2567): FM: temp_ref=15\n",
              "INFO: MakeDiveProfiles.py(2567): FM: glider_length=1.8\n",
              "INFO: MakeDiveProfiles.py(2567): FM: rho0=1027.5\n",
              "INFO: MakeDiveProfiles.py(2587): auxcompass data not present, auxPressure data not present\n",
              "INFO: MakeDiveProfiles.py(2742): Not using auxcompass Not using auxPressure\n",
              "INFO: MakeDiveProfiles.py(2807): Directive: correct_thermal_inertia_effects\n",
              "INFO: MakeDiveProfiles.py(2807): Directive: detect_conductivity_anomalies\n",
              "INFO: MakeDiveProfiles.py(2807): Directive: no_interp_gc_temperatures\n",
              "INFO: MakeDiveProfiles.py(2807): Directive: no_interp_suspect_thermal_inertia_salinities\n",
              "INFO: MakeDiveProfiles.py(3701): ct_type:gun-style Seabird unpumped CTD\n",
              "INFO: QC.py(510): Changed (2/340) 337 338 to QC_PROBABLY_BAD because raw temperature spikes\n",
              "INFO: QC.py(531): Changed (1/340) 339 to QC_BAD because raw salinity below bound\n",
              "INFO: QC.py(547): Changed (1/340) 339 to QC_BAD because bad raw salinity indicates raw conductivity issues\n",
              "INFO: QC.py(592): Changed (4/340) 2 336:338 to QC_PROBABLY_BAD because raw conductivity spikes\n",
              "INFO: MakeDiveProfiles.py(4792): Changed (1/340) 340 to QC_BAD because uncorrectable 0.0m raw conductivity bubble on climb\n",
              "INFO: QC.py(247): Changed (2/340) 337 338 to QC_PROBABLY_BAD because changed raw temp implies changed raw salinity\n",
              "INFO: QC.py(247): Changed (2/340) 2 336 to QC_PROBABLY_BAD because changed raw cond implies changed raw salinity\n",
              "INFO: QC.py(247): Changed (1/340) 340 to QC_BAD because changed raw cond implies changed raw salinity\n",
              "INFO: QC.py(510): Changed (2/340) 337 338 to QC_INTERPOLATED because temperature spikes\n",
              "INFO: QC.py(531): Changed (1/340) 339 to QC_BAD because salinity below bound\n",
              "INFO: QC.py(547): Changed (1/340) 339 to QC_BAD because bad salinity indicates conductivity issues\n",
              "INFO: QC.py(592): Changed (4/340) 2 336:338 to QC_INTERPOLATED because conductivity spikes\n",
              "INFO: MakeDiveProfiles.py(4848): Changed (1/340) 340 to QC_BAD because uncorrectable 0.0m conductivity bubble on climb\n",
              "INFO: MakeDiveProfiles.py(5037): Changed (33/340) 156:188 to QC_BAD because slow apogee CT flow\n",
              "INFO: MakeDiveProfiles.py(5225): Changed (10/340) 1:10 to QC_BAD because during VBD bleed\n",
              "INFO: MakeDiveProfiles.py(5349): Changed (3/340) 336:338 to QC_BAD because end of climb\n",
              "INFO: MakeDiveProfiles.py(5413): Changed (48/340) 1:10 156:188 336:340 to QC_BAD because bad corrected temperature and conductivity suggests bad salinity\n",
              "INFO: MakeDiveProfiles.py(5578): Using 1-mode thermal-inertia correction.\n",
              "INFO: QC.py(247): Changed (48/340) 1:10 156:188 336:340 to QC_BAD because changed corrected salin implies changed speed\n",
              "INFO: TempSalinityVelocity.py(845): 0: max temp_c diff: 0.03C TI time: 0.009s loop: 0.008s\n",
              "INFO: TempSalinityVelocity.py(845): 1: max temp_c diff: 0.04C TI time: 0.008s loop: 0.008s\n",
              "INFO: TempSalinityVelocity.py(845): 2: max temp_c diff: 0.04C TI time: 0.008s loop: 0.008s\n",
              "INFO: TempSalinityVelocity.py(1086): TSV exiting after 2 iterations\n",
              "INFO: TempSalinityVelocity.py(1088): max_temp_c_diff = 0.04C\n",
              "INFO: TempSalinityVelocity.py(1114): Changed (1/340) 335 to QC_PROBABLY_BAD because TS bad extrapolation\n",
              "INFO: MakeDiveProfiles.py(6061): 13 (3.82%) HDM speeds are QC_BAD; 0 (0.00%) are stalled (340)\n",
              "INFO: MakeDiveProfiles.py(6271): Estimated total flight and drift time: 3223.7s (SM: 173.7s)\n",
              "INFO: MakeDiveProfiles.py(6638): DAC east: 2.33 cm/s DAC north: 7.80 cm/s\n",
              "INFO: MakeDiveProfiles.py(6769): Starting sensor extensions data processing\n",
              "INFO: sbe43_ext.py(422): Changed (340/340) 1:340 to QC_UNSAMPLED because unsampled SBE43 oyxgen\n",
              "WARNING: sbe43_ext.py(527): SBE43 O2 data found but calibration constant(s) missing - skipping SBE43 O2 corrections\n",
              "INFO: MakeDiveProfiles.py(6773): Finished sensor extensions data processing\n",
              "</dd><dt><span>dive_number :</span></dt><dd>5</dd><dt><span>glider :</span></dt><dd>175</dd><dt><span>mission :</span></dt><dd>2</dd><dt><span>seaglider_software_version :</span></dt><dd>66.11</dd><dt><span>file_version :</span></dt><dd>2.71</dd><dt><span>start_time :</span></dt><dd>1683918840.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>seconds</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>seconds</dd><dt><span>instrument :</span></dt><dd>magnetometer sbe41 sbe43 </dd><dt><span>title :</span></dt><dd>Physical and chemical data collected from Seaglider SG175 during UWSSC Mission 002-first deployment deployed on 2023-05-12</dd><dt><span>naming_authority :</span></dt><dd>edu.washington.apl</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA/GCMD Earth Science Keywords Version 6.0.0.0</dd><dt><span>keywords :</span></dt><dd>Water Temperature, Conductivity, Salinity, Density, Potential Density, Potential Temperature</dd><dt><span>processing_level :</span></dt><dd>1.12</dd><dt><span>references :</span></dt><dd>http://data.nodc.noaa.gov/accession/0092291</dd><dt><span>date_created :</span></dt><dd>2023-05-16T22:05:28Z</dd><dt><span>date_modified :</span></dt><dd>2023-05-16T22:05:28Z</dd><dt><span>uuid :</span></dt><dd>2c0f77b9-f43d-11ed-a54e-b9bdd6c163ed</dd><dt><span>base_station_version :</span></dt><dd>3.0.0</dd><dt><span>base_station_micro_version :</span></dt><dd>0</dd><dt><span>quality_control_version :</span></dt><dd>1.12</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF-1.6</dd><dt><span>featureType :</span></dt><dd>trajectory</dd><dt><span>cdm_data_type :</span></dt><dd>Trajectory</dd><dt><span>nodc_template_version :</span></dt><dd>NODC_NetCDF_Trajectory_Template_v0.9</dd></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_to_export = data[['time','pressure','depth','temperature','conductivity','salinity',\n",
        "                       'sigma_theta','density','latitude','longitude','buoyancy','speed',\n",
        "                       'glide_angle','horz_speed','vert_speed','polar_heading']].drop(['ctd_time','ctd_depth'])"
      ],
      "metadata": {
        "id": "pUPSNIoC4UjA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "export_filepath = '/content/20230512_glider.csv'\n",
        "data_to_export.to_pandas().to_csv(export_filepath)"
      ],
      "metadata": {
        "id": "jRaPpgCc6EXu"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Diagnostic plots for glider data"
      ],
      "metadata": {
        "id": "bxhSbhcbwvnS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(data['speed'],data['depth'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "id": "TXDA6a6H3ub7",
        "outputId": "90c0ddd4-e2a5-43ab-af9d-bee869c03fe8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7b89cfa064d0>]"
            ]
          },
          "metadata": {},
          "execution_count": 30
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.scatter(data['ctd_time'],data['ctd_depth'],c=data['buoyancy'])\n",
        "plt.colorbar()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "id": "UvAlmiTqvf7l",
        "outputId": "a42b225a-3815-4e13-e9e4-da0a6a637d1b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.colorbar.Colorbar at 0x7b89cf8fb040>"
            ]
          },
          "metadata": {},
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(casts[0]['longitude'],casts[0]['latitude'],label='R/V Rachel Carson cast #1')\n",
        "plt.plot(casts[1]['longitude'],casts[1]['latitude'],label='R/V Rachel Carson cast #2')\n",
        "plt.plot(data['longitude'],data['latitude'],label='Glider')\n",
        "\n",
        "plt.legend()\n",
        "plt.xlabel('Longitude (°E)')\n",
        "plt.ylabel('Latitude (°N)');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "6x12G_MBvgkz",
        "outputId": "b31975d9-3b39-44d5-bf06-f0e027817915"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(casts[0]['t090C'],casts[0]['depSM'],label='R/V Carson cast #1')\n",
        "plt.plot(casts[1]['t090C'],casts[1]['depSM'],label='R/V Carson cast #2')\n",
        "plt.plot(data['temperature'],data['depth'],label='Glider')\n",
        "plt.legend()\n",
        "plt.gca().invert_yaxis()\n",
        "plt.grid(alpha=0.5)\n",
        "plt.xlabel('Temperature (°C)')\n",
        "plt.ylabel('Depth (m)');\n",
        "plt.ylim([20,0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 473
        },
        "id": "5XGRdUI62vcZ",
        "outputId": "720217f0-ec48-49c5-8152-91da73e1f7ba"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(20.0, 0.0)"
            ]
          },
          "metadata": {},
          "execution_count": 53
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(casts[0]['sal00'],casts[0]['depSM'],label='R/V Carson cast #1')\n",
        "plt.plot(casts[1]['sal00'],casts[1]['depSM'],label='R/V Carson cast #2')\n",
        "plt.plot(data['salinity'],data['depth'],label='Glider')\n",
        "plt.legend()\n",
        "plt.gca().invert_yaxis()\n",
        "plt.grid(alpha=0.5)\n",
        "plt.xlabel('Salinity (PSU)')\n",
        "plt.ylabel('Depth (m)');\n",
        "plt.ylim([175,130])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 473
        },
        "id": "v__MU3k7DIr0",
        "outputId": "a3079e65-385e-43c5-f73f-3d38d61e08b8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(175.0, 130.0)"
            ]
          },
          "metadata": {},
          "execution_count": 55
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(casts[0]['sal00'],casts[0]['depSM'],label='R/V Carson cast #1')\n",
        "plt.plot(casts[1]['sal00'],casts[1]['depSM'],label='R/V Carson cast #2')\n",
        "plt.plot(data['salinity'],data['depth'],label='Glider')\n",
        "plt.legend()\n",
        "plt.gca().invert_yaxis()\n",
        "plt.grid(alpha=0.5)\n",
        "plt.xlabel('Salinity (PSU)')\n",
        "plt.ylabel('Depth (m)');\n",
        "plt.ylim([20,0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 473
        },
        "id": "ljxxBGjNEqYx",
        "outputId": "de72f3ac-a01e-4ea0-9097-52caeda877d1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(20.0, 0.0)"
            ]
          },
          "metadata": {},
          "execution_count": 56
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "casts[0]['t090C'].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LbF8gbS4CsFF",
        "outputId": "8c654d0f-5290-42c1-83dc-1ed9f7425cd2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8.731828714198661"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "casts[1]['t090C'].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "h5AxpceeCbuH",
        "outputId": "fb63de5a-37e1-490b-9824-fe95ab31bbfa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8.751454190571213"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data['temperature'].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 156
        },
        "id": "uMBhiGXiCvjC",
        "outputId": "c179d394-59a5-4f31-f04c-3acce49fbd28"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<xarray.DataArray 'temperature' ()>\n",
              "array(8.94580976)"
            ],
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              "  --xr-disabled-color: #515151;\n",
              "  --xr-background-color: #111111;\n",
              "  --xr-background-color-row-even: #111111;\n",
              "  --xr-background-color-row-odd: #313131;\n",
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              ".xr-wrap {\n",
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              "  padding-top: 6px;\n",
              "  padding-bottom: 6px;\n",
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              "\n",
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              "\n",
              ".xr-section-inline-details {\n",
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              "\n",
              ".xr-section-details {\n",
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              ".xr-array-in:checked ~ .xr-array-data,\n",
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              "\n",
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              ".xr-dim-list:after {\n",
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              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
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              "\n",
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              "\n",
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              "\n",
              ".xr-attrs dt,\n",
              ".xr-attrs dd {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
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              "}\n",
              "\n",
              ".xr-attrs dt {\n",
              "  font-weight: normal;\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-attrs dt:hover span {\n",
              "  display: inline-block;\n",
              "  background: var(--xr-background-color);\n",
              "  padding-right: 10px;\n",
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              "\n",
              ".xr-attrs dd {\n",
              "  grid-column: 2;\n",
              "  white-space: pre-wrap;\n",
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              "\n",
              ".xr-icon-database,\n",
              ".xr-icon-file-text2,\n",
              ".xr-no-icon {\n",
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              "}\n",
              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;temperature&#x27; ()&gt;\n",
              "array(8.94580976)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'temperature'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c64d1992-7795-4254-8270-fcd4b604dc51' class='xr-array-in' type='checkbox' checked><label for='section-c64d1992-7795-4254-8270-fcd4b604dc51' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>8.946</span></div><div class='xr-array-data'><pre>array(8.94580976)</pre></div></div></li><li class='xr-section-item'><input id='section-aabd7da2-2d99-40c1-8e5d-f0c92d36be88' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aabd7da2-2d99-40c1-8e5d-f0c92d36be88' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-669d07dd-3b8d-43f2-a4a1-68d7aed8189b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-669d07dd-3b8d-43f2-a4a1-68d7aed8189b' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-693611f7-dfc6-4f73-8fd0-38fbe9b7992f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-693611f7-dfc6-4f73-8fd0-38fbe9b7992f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    }
  ]
}