diff --git a/README.md b/README.md
index c8f117c..205b0ff 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,11 @@
 # `glenglat`: Global englacial temperature database
 
-[![DOI](https://zenodo.org/badge/11516611/mjacqu/glenglat.svg)](https://zenodo.org/doi/10.5281/zenodo.11516611)
-[![Frictionless](https://github.com/mjacqu/glenglat/actions/workflows/frictionless.yaml/badge.svg)](https://repository.frictionlessdata.io/pages/dashboard.html?user=mjacqu&repo=glenglat&flow=frictionless)
-![Pytest](https://github.com/mjacqu/glenglat/actions/workflows/pytest.yaml/badge.svg)
+| Quick start | |
+|-|-|
+Download & Cite | [![DOI](https://zenodo.org/badge/11516611/mjacqu/glenglat.svg)](https://zenodo.org/doi/10.5281/zenodo.11516611)
+[Tutorial notebook](tutorial.ipynb) | [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mjacqu/glenglat/blob/main/tutorial.ipynb)
+Version history | [![GitHub Release](https://img.shields.io/github/v/release/mjacqu/glenglat?label=latest)](https://github.com/mjacqu/glenglat/releases)
+Tests | [![Frictionless](https://github.com/mjacqu/glenglat/actions/workflows/frictionless.yaml/badge.svg)](https://github.com/mjacqu/glenglat/actions/workflows/frictionless.yaml) [![Pytest](https://github.com/mjacqu/glenglat/actions/workflows/pytest.yaml/badge.svg)](https://github.com/mjacqu/glenglat/actions/workflows/pytest.yaml)
 
 <!-- <for-zenodo> -->
 Open-access database of englacial temperature measurements compiled from data submissions and published literature. It is developed on [GitHub](https://github.com/mjacqu/glenglat) and published to [Zenodo](https://doi.org/10.5281/zenodo.11516611).
diff --git a/tutorial.ipynb b/tutorial.ipynb
new file mode 100644
index 0000000..a0ad733
--- /dev/null
+++ b/tutorial.ipynb
@@ -0,0 +1,2840 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "toc_visible": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# `glenglat`: Global englacial temperature database\n",
+        "\n",
+        "[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mjacqu/glenglat/blob/main/tutorial.ipynb)\n",
+        "\n",
+        "Python notebook illustrating how to load and navigate the `glenglat` dataset using Python."
+      ],
+      "metadata": {
+        "id": "hzT3VO_0vg-W"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Initialize the environment"
+      ],
+      "metadata": {
+        "id": "F4b1JTZzvl0C"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Import the Python libraries that will be needed later."
+      ],
+      "metadata": {
+        "id": "qUjZmwpZwYXl"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Import standard libraries\n",
+        "from collections import defaultdict\n",
+        "import json\n",
+        "from pathlib import Path\n",
+        "import re\n",
+        "\n",
+        "# Import third party libraries\n",
+        "import geopandas as gpd\n",
+        "import networkx\n",
+        "import numpy as np\n",
+        "import pandas as pd\n",
+        "import plotnine as p9\n",
+        "\n",
+        "# Ignore distracting warnings\n",
+        "import warnings\n",
+        "warnings.filterwarnings('ignore')"
+      ],
+      "metadata": {
+        "id": "nWJCKvNRwRlL"
+      },
+      "execution_count": 1,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Download a published version of glenglat from [Zenodo](https://sandbox.zenodo.org/records/99520) and unzip the file."
+      ],
+      "metadata": {
+        "id": "akXXG9Kev2AP"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "0v73Kxs5q9WK"
+      },
+      "outputs": [],
+      "source": [
+        "!wget --no-clobber --output-document=glenglat.zip https://sandbox.zenodo.org/records/99520/files/glenglat-v1.0.0-rc2.zip\n",
+        "!unzip -n glenglat.zip"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Load the data\n",
+        "\n",
+        "The four tables `source`, `borehole`, `profile`, and `measurement` are stored as comma-separated values (CSV) files in the `data` folder. Since the `profile.csv` and `measurement.csv` files for a few boreholes with many profiles are stored separately in subfolders, to read all the data we concatenate tables with the same name to end up with one [`pandas`](https://pandas.pydata.org/) (pd) [`DataFrame`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html#pandas.DataFrame) (df) for each table.\n",
+        "\n",
+        "Although optional, we use the column data types defined in the metadata file (`datapackage.json`) to ensure that the data is read correctly."
+      ],
+      "metadata": {
+        "id": "lGQjUtWkg1XN"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Convert column data types in metadata to Pandas format\n",
+        "pandas_dtypes = {\n",
+        "  'string': 'string',\n",
+        "  'number': 'float64',\n",
+        "  'integer': 'Int64',\n",
+        "  'boolean': 'boolean',\n",
+        "  'time': 'string',\n",
+        "  'year': 'Int64'\n",
+        "}\n",
+        "\n",
+        "# Extract column data types from the metadata\n",
+        "# (in the metadata, table = resource and column = field)\n",
+        "metadata = json.loads(Path('datapackage.json').read_text())\n",
+        "table_dtypes = defaultdict(dict)\n",
+        "table_dates = defaultdict(list)\n",
+        "for resource in metadata['resources']:\n",
+        "  table_name = resource['name']\n",
+        "  for field in resource['schema']['fields']:\n",
+        "    if field['type'] == 'date':\n",
+        "      table_dates[table_name] += [field['name']]\n",
+        "    else:\n",
+        "      table_dtypes[table_name][field['name']] = pandas_dtypes[field['type']]\n",
+        "\n",
+        "# Read\n",
+        "dfs = {}\n",
+        "for path in Path('data').glob('**/*.csv'):\n",
+        "  # Read table name from file name (data/source.csv -> source)\n",
+        "  table_name = path.stem\n",
+        "  # Read table from file\n",
+        "  table = pd.read_csv(\n",
+        "    path, dtype=table_dtypes[table_name], parse_dates=table_dates[table_name]\n",
+        "  )\n",
+        "  # Build a list of all tables with the same name\n",
+        "  if table_name not in dfs:\n",
+        "    dfs[table_name] = []\n",
+        "  dfs[table_name] += [table]\n",
+        "for table_name, tables in dfs.items():\n",
+        "  # Concatenate tables with the same name\n",
+        "  dfs[table_name] = pd.concat(tables, ignore_index=True)"
+      ],
+      "metadata": {
+        "id": "GpWsWJ7_td-e"
+      },
+      "execution_count": 3,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Alternatively, the same could be achieved more simply (but more slowly) using the [`frictionless`](https://framework.frictionlessdata.io/) library."
+      ],
+      "metadata": {
+        "id": "MHC2E9jg9BP0"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# !pip install frictionless\n",
+        "# import frictionless\n",
+        "\n",
+        "# package = frictionless.Package('datapackage.json')\n",
+        "# dfs = {\n",
+        "#     resource.name: resource.to_pandas().reset_index().convert_dtypes()\n",
+        "#     for resource in package.resources\n",
+        "#   }"
+      ],
+      "metadata": {
+        "id": "Hws3c2Lz9MkG"
+      },
+      "execution_count": 4,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Now we can access each of our four tables by name, for example `borehole`."
+      ],
+      "metadata": {
+        "id": "mE7faAXcy-66"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "dfs['borehole']"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 929
+        },
+        "id": "WqaWKChdvUbA",
+        "outputId": "cafea2be-0d79-46bc-b047-eb3e574f8b9d"
+      },
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "      id     source_id             glacier_name        glims_id  \\\n",
+              "0      1  haeberli1991           Grenzgletscher  G007908E45948N   \n",
+              "1      2   blatter1984           Grenzgletscher  G007800E45965N   \n",
+              "2      3   blatter1984           Grenzgletscher  G007800E45965N   \n",
+              "3      4   blatter1985            White Glacier  G269329E79672N   \n",
+              "4      5   blatter1985            White Glacier  G269329E79672N   \n",
+              "..   ...           ...                      ...             ...   \n",
+              "685  748   blatter1985            White Glacier  G269329E79672N   \n",
+              "686  749   blatter1985            White Glacier  G269329E79672N   \n",
+              "687  750   blatter1985            White Glacier  G269329E79672N   \n",
+              "688  751   blatter1985            White Glacier  G269329E79672N   \n",
+              "689  752        li2017  Qiangtang No. 1 Glacier  G088700E33291N   \n",
+              "\n",
+              "    location_origin   latitude  longitude elevation_origin  elevation   label  \\\n",
+              "0         published  45.930329   7.875013        published     4450.0  CG77-1   \n",
+              "1         estimated  45.967331   7.797442        published     2600.0       2   \n",
+              "2         estimated  45.973722   7.763328        published     2500.0       3   \n",
+              "3         estimated  79.530780 -91.001760        published     1447.0    1/79   \n",
+              "4         estimated  79.472070 -90.756630        published      625.0    4/80   \n",
+              "..              ...        ...        ...              ...        ...     ...   \n",
+              "685       estimated  79.474230 -90.738640        published      632.0    3/80   \n",
+              "686       estimated  79.471090 -90.773390        published      622.0    5/80   \n",
+              "687       estimated  79.471000 -90.775570        published      620.0    6/80   \n",
+              "688       estimated  79.470860 -90.777520        published      618.0    7/80   \n",
+              "689       published  33.297000  88.695000        published     5853.0    <NA>   \n",
+              "\n",
+              "      date_min   date_max drill_method  ice_depth  depth  to_bed  \\\n",
+              "0   1977-08-01 1977-08-20   mechanical        NaN   65.0   False   \n",
+              "1          NaT 1979-12-31         <NA>        NaN    NaN   False   \n",
+              "2          NaT 1980-12-31         <NA>        NaN    NaN   False   \n",
+              "3   1979-07-13 1979-07-13      thermal        NaN  268.0   False   \n",
+              "4   1980-05-20 1980-05-20      thermal        NaN  320.0    True   \n",
+              "..         ...        ...          ...        ...    ...     ...   \n",
+              "685 1980-05-23 1980-05-23      thermal        NaN  180.0    True   \n",
+              "686 1980-05-29 1980-05-29      thermal        NaN  142.0    True   \n",
+              "687 1980-05-26 1980-05-26      thermal        NaN  120.0    True   \n",
+              "688 1980-05-26 1980-05-26      thermal        NaN   80.0    True   \n",
+              "689 2014-05-04 2014-05-04   mechanical        NaN  109.0    True   \n",
+              "\n",
+              "     temperature_accuracy                                              notes  \\\n",
+              "0                     NaN  Accumulation area | label: 1 in blatter1984 | ...   \n",
+              "1                     NaN  Ablation area | location_origin: elevation and...   \n",
+              "2                     NaN  Ablation area | location_origin: elevation and...   \n",
+              "3                    0.20  Accumulation area | location_origin: Converted...   \n",
+              "4                    0.20  Ablation area | location_origin: Converted loc...   \n",
+              "..                    ...                                                ...   \n",
+              "685                  0.20  location_origin: Converted local coordinates i...   \n",
+              "686                  0.20  location_origin: Converted local coordinates i...   \n",
+              "687                  0.20  location_origin: Converted local coordinates i...   \n",
+              "688                  0.20  location_origin: Converted local coordinates i...   \n",
+              "689                  0.01                               glacier_name: 羌塘1号冰川   \n",
+              "\n",
+              "                                   curator  \n",
+              "0                              Ethan Welty  \n",
+              "1    Mylène Jacquemart | Guillem Carcanade  \n",
+              "2    Mylène Jacquemart | Guillem Carcanade  \n",
+              "3                              Ethan Welty  \n",
+              "4                              Ethan Welty  \n",
+              "..                                     ...  \n",
+              "685                            Ethan Welty  \n",
+              "686                            Ethan Welty  \n",
+              "687                            Ethan Welty  \n",
+              "688                            Ethan Welty  \n",
+              "689                            Ethan Welty  \n",
+              "\n",
+              "[690 rows x 19 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-bf44a0c8-6c94-403f-b5a9-8fffb449d409\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>id</th>\n",
+              "      <th>source_id</th>\n",
+              "      <th>glacier_name</th>\n",
+              "      <th>glims_id</th>\n",
+              "      <th>location_origin</th>\n",
+              "      <th>latitude</th>\n",
+              "      <th>longitude</th>\n",
+              "      <th>elevation_origin</th>\n",
+              "      <th>elevation</th>\n",
+              "      <th>label</th>\n",
+              "      <th>date_min</th>\n",
+              "      <th>date_max</th>\n",
+              "      <th>drill_method</th>\n",
+              "      <th>ice_depth</th>\n",
+              "      <th>depth</th>\n",
+              "      <th>to_bed</th>\n",
+              "      <th>temperature_accuracy</th>\n",
+              "      <th>notes</th>\n",
+              "      <th>curator</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1</td>\n",
+              "      <td>haeberli1991</td>\n",
+              "      <td>Grenzgletscher</td>\n",
+              "      <td>G007908E45948N</td>\n",
+              "      <td>published</td>\n",
+              "      <td>45.930329</td>\n",
+              "      <td>7.875013</td>\n",
+              "      <td>published</td>\n",
+              "      <td>4450.0</td>\n",
+              "      <td>CG77-1</td>\n",
+              "      <td>1977-08-01</td>\n",
+              "      <td>1977-08-20</td>\n",
+              "      <td>mechanical</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>65.0</td>\n",
+              "      <td>False</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Accumulation area | label: 1 in blatter1984 | ...</td>\n",
+              "      <td>Ethan Welty</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>2</td>\n",
+              "      <td>blatter1984</td>\n",
+              "      <td>Grenzgletscher</td>\n",
+              "      <td>G007800E45965N</td>\n",
+              "      <td>estimated</td>\n",
+              "      <td>45.967331</td>\n",
+              "      <td>7.797442</td>\n",
+              "      <td>published</td>\n",
+              "      <td>2600.0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>NaT</td>\n",
+              "      <td>1979-12-31</td>\n",
+              "      <td>&lt;NA&gt;</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>False</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Ablation area | location_origin: elevation and...</td>\n",
+              "      <td>Mylène Jacquemart | Guillem Carcanade</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>3</td>\n",
+              "      <td>blatter1984</td>\n",
+              "      <td>Grenzgletscher</td>\n",
+              "      <td>G007800E45965N</td>\n",
+              "      <td>estimated</td>\n",
+              "      <td>45.973722</td>\n",
+              "      <td>7.763328</td>\n",
+              "      <td>published</td>\n",
+              "      <td>2500.0</td>\n",
+              "      <td>3</td>\n",
+              "      <td>NaT</td>\n",
+              "      <td>1980-12-31</td>\n",
+              "      <td>&lt;NA&gt;</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>False</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Ablation area | location_origin: elevation and...</td>\n",
+              "      <td>Mylène Jacquemart | Guillem Carcanade</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>4</td>\n",
+              "      <td>blatter1985</td>\n",
+              "      <td>White Glacier</td>\n",
+              "      <td>G269329E79672N</td>\n",
+              "      <td>estimated</td>\n",
+              "      <td>79.530780</td>\n",
+              "      <td>-91.001760</td>\n",
+              "      <td>published</td>\n",
+              "      <td>1447.0</td>\n",
+              "      <td>1/79</td>\n",
+              "      <td>1979-07-13</td>\n",
+              "      <td>1979-07-13</td>\n",
+              "      <td>thermal</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>268.0</td>\n",
+              "      <td>False</td>\n",
+              "      <td>0.20</td>\n",
+              "      <td>Accumulation area | location_origin: Converted...</td>\n",
+              "      <td>Ethan Welty</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>5</td>\n",
+              "      <td>blatter1985</td>\n",
+              "      <td>White Glacier</td>\n",
+              "      <td>G269329E79672N</td>\n",
+              "      <td>estimated</td>\n",
+              "      <td>79.472070</td>\n",
+              "      <td>-90.756630</td>\n",
+              "      <td>published</td>\n",
+              "      <td>625.0</td>\n",
+              "      <td>4/80</td>\n",
+              "      <td>1980-05-20</td>\n",
+              "      <td>1980-05-20</td>\n",
+              "      <td>thermal</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>320.0</td>\n",
+              "      <td>True</td>\n",
+              "      <td>0.20</td>\n",
+              "      <td>Ablation area | location_origin: Converted loc...</td>\n",
+              "      <td>Ethan Welty</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",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>685</th>\n",
+              "      <td>748</td>\n",
+              "      <td>blatter1985</td>\n",
+              "      <td>White Glacier</td>\n",
+              "      <td>G269329E79672N</td>\n",
+              "      <td>estimated</td>\n",
+              "      <td>79.474230</td>\n",
+              "      <td>-90.738640</td>\n",
+              "      <td>published</td>\n",
+              "      <td>632.0</td>\n",
+              "      <td>3/80</td>\n",
+              "      <td>1980-05-23</td>\n",
+              "      <td>1980-05-23</td>\n",
+              "      <td>thermal</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>180.0</td>\n",
+              "      <td>True</td>\n",
+              "      <td>0.20</td>\n",
+              "      <td>location_origin: Converted local coordinates i...</td>\n",
+              "      <td>Ethan Welty</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>686</th>\n",
+              "      <td>749</td>\n",
+              "      <td>blatter1985</td>\n",
+              "      <td>White Glacier</td>\n",
+              "      <td>G269329E79672N</td>\n",
+              "      <td>estimated</td>\n",
+              "      <td>79.471090</td>\n",
+              "      <td>-90.773390</td>\n",
+              "      <td>published</td>\n",
+              "      <td>622.0</td>\n",
+              "      <td>5/80</td>\n",
+              "      <td>1980-05-29</td>\n",
+              "      <td>1980-05-29</td>\n",
+              "      <td>thermal</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>142.0</td>\n",
+              "      <td>True</td>\n",
+              "      <td>0.20</td>\n",
+              "      <td>location_origin: Converted local coordinates i...</td>\n",
+              "      <td>Ethan Welty</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>687</th>\n",
+              "      <td>750</td>\n",
+              "      <td>blatter1985</td>\n",
+              "      <td>White Glacier</td>\n",
+              "      <td>G269329E79672N</td>\n",
+              "      <td>estimated</td>\n",
+              "      <td>79.471000</td>\n",
+              "      <td>-90.775570</td>\n",
+              "      <td>published</td>\n",
+              "      <td>620.0</td>\n",
+              "      <td>6/80</td>\n",
+              "      <td>1980-05-26</td>\n",
+              "      <td>1980-05-26</td>\n",
+              "      <td>thermal</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>120.0</td>\n",
+              "      <td>True</td>\n",
+              "      <td>0.20</td>\n",
+              "      <td>location_origin: Converted local coordinates i...</td>\n",
+              "      <td>Ethan Welty</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>688</th>\n",
+              "      <td>751</td>\n",
+              "      <td>blatter1985</td>\n",
+              "      <td>White Glacier</td>\n",
+              "      <td>G269329E79672N</td>\n",
+              "      <td>estimated</td>\n",
+              "      <td>79.470860</td>\n",
+              "      <td>-90.777520</td>\n",
+              "      <td>published</td>\n",
+              "      <td>618.0</td>\n",
+              "      <td>7/80</td>\n",
+              "      <td>1980-05-26</td>\n",
+              "      <td>1980-05-26</td>\n",
+              "      <td>thermal</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>80.0</td>\n",
+              "      <td>True</td>\n",
+              "      <td>0.20</td>\n",
+              "      <td>location_origin: Converted local coordinates i...</td>\n",
+              "      <td>Ethan Welty</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>689</th>\n",
+              "      <td>752</td>\n",
+              "      <td>li2017</td>\n",
+              "      <td>Qiangtang No. 1 Glacier</td>\n",
+              "      <td>G088700E33291N</td>\n",
+              "      <td>published</td>\n",
+              "      <td>33.297000</td>\n",
+              "      <td>88.695000</td>\n",
+              "      <td>published</td>\n",
+              "      <td>5853.0</td>\n",
+              "      <td>&lt;NA&gt;</td>\n",
+              "      <td>2014-05-04</td>\n",
+              "      <td>2014-05-04</td>\n",
+              "      <td>mechanical</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>109.0</td>\n",
+              "      <td>True</td>\n",
+              "      <td>0.01</td>\n",
+              "      <td>glacier_name: 羌塘1号冰川</td>\n",
+              "      <td>Ethan Welty</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>690 rows × 19 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-bf44a0c8-6c94-403f-b5a9-8fffb449d409')\"\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",
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+              "  </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-bf44a0c8-6c94-403f-b5a9-8fffb449d409 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-bf44a0c8-6c94-403f-b5a9-8fffb449d409');\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-2892009f-172a-443c-9ff5-9d6941345666\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2892009f-172a-443c-9ff5-9d6941345666')\"\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",
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+              "      border-left-color: var(--fill-color);\n",
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+              "    }\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-2892009f-172a-443c-9ff5-9d6941345666 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "repr_error": "Out of range float values are not JSON compliant: inf"
+            }
+          },
+          "metadata": {},
+          "execution_count": 5
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Compute derived columns\n",
+        "\n",
+        "These additional columns are not present in the original dataset, but will be helpful in the sections that follow."
+      ],
+      "metadata": {
+        "id": "MOl854rXdSj0"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Profile measurement year (`profile.year`)\n",
+        "\n",
+        "Since the measurement date is not always known precisely, we use the year of the mean date between `date_min` and `date_max`."
+      ],
+      "metadata": {
+        "id": "AQ5mQj1ad6V5"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df = dfs['profile']\n",
+        "date_mean = df['date_min'] + (df['date_max'] - df['date_min']) / 2\n",
+        "df['year'] = date_mean.dt.year.astype('Int64')"
+      ],
+      "metadata": {
+        "id": "SSjdy27BetDU"
+      },
+      "execution_count": 6,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Borehole measurement depth (`borehole.measurement_depth`)\n",
+        "\n",
+        "The maximum depth to which temperature was measured in each borehole."
+      ],
+      "metadata": {
+        "id": "f07VuqQXmcTc"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df = dfs['borehole'].set_index('id')\n",
+        "df['measurement_depth'] = dfs['measurement'].groupby('borehole_id')['depth'].max()\n",
+        "dfs['borehole'] = df.reset_index()"
+      ],
+      "metadata": {
+        "id": "40PoVZbZmwTP"
+      },
+      "execution_count": 7,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Glacier identifier (`borehole.glacier_id`)\n",
+        "\n",
+        "We assign a `glacier_id` based on the [Global Land Ice Measurements from Space (GLIMS)](https://www.glims.org) glacier identifier (`glims_id`) or, for the few cases where this is not available, the glacier name (`glacier_name`)."
+      ],
+      "metadata": {
+        "id": "Rbys4LDWde80"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df = dfs['borehole']\n",
+        "df['glacier_id'] = df['glims_id'].combine_first(df['glacier_name'])"
+      ],
+      "metadata": {
+        "id": "ttEvJ8Bydrtq"
+      },
+      "execution_count": 8,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Region identifier (`borehole.region_id`)\n",
+        "\n",
+        "We assign boreholes to their corresponding GTN-G Glacier Region (https://doi.org/10.5904/gtng-glacreg-2023-07) based on their coordinates (`latitude`, `longitude`). In the process, we upgrade the `borehole` table to a [`geopandas`](https://geopandas.org) [`GeoDataFrame`](https://geopandas.org/en/stable/docs/reference/api/geopandas.GeoDataFrame.html)."
+      ],
+      "metadata": {
+        "id": "T1TNKkNsew-g"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Load GTN-G Glacier Regions\n",
+        "regions = gpd.read_file('https://www.gtn-g.ch/database/GlacReg_2023.zip')\n",
+        "\n",
+        "# Upgrade borehole table to GeoDataFrame\n",
+        "df = dfs['borehole']\n",
+        "geometry = gpd.points_from_xy(x=df['longitude'], y=df['latitude'], crs=4326)\n",
+        "dfs['borehole'] = gpd.GeoDataFrame(df, geometry=geometry)\n",
+        "\n",
+        "# Assign region.long_code to borehole.region_id\n",
+        "gdf = dfs['borehole']\n",
+        "indices = gdf.sindex.query(regions.geometry, predicate='contains')\n",
+        "gdf['region_id'] = pd.NA\n",
+        "gdf['region_id'].iloc[indices[1]] = regions['long_code'].iloc[indices[0]]\n",
+        "\n",
+        "# Preview result\n",
+        "dfs['borehole'][['id', 'glacier_name', 'region_id']]"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 423
+        },
+        "id": "urBRkIEJfDgZ",
+        "outputId": "427080d2-2515-4066-f080-3eeb5b33fb2e"
+      },
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "      id             glacier_name               region_id\n",
+              "0      1           Grenzgletscher       11_central_europe\n",
+              "1      2           Grenzgletscher       11_central_europe\n",
+              "2      3           Grenzgletscher       11_central_europe\n",
+              "3      4            White Glacier  03_arctic_canada_north\n",
+              "4      5            White Glacier  03_arctic_canada_north\n",
+              "..   ...                      ...                     ...\n",
+              "685  748            White Glacier  03_arctic_canada_north\n",
+              "686  749            White Glacier  03_arctic_canada_north\n",
+              "687  750            White Glacier  03_arctic_canada_north\n",
+              "688  751            White Glacier  03_arctic_canada_north\n",
+              "689  752  Qiangtang No. 1 Glacier         13_central_asia\n",
+              "\n",
+              "[690 rows x 3 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-9a612d20-eb7d-4924-aef3-3bafb22bc6b5\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>id</th>\n",
+              "      <th>glacier_name</th>\n",
+              "      <th>region_id</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1</td>\n",
+              "      <td>Grenzgletscher</td>\n",
+              "      <td>11_central_europe</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Grenzgletscher</td>\n",
+              "      <td>11_central_europe</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>3</td>\n",
+              "      <td>Grenzgletscher</td>\n",
+              "      <td>11_central_europe</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>4</td>\n",
+              "      <td>White Glacier</td>\n",
+              "      <td>03_arctic_canada_north</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>5</td>\n",
+              "      <td>White Glacier</td>\n",
+              "      <td>03_arctic_canada_north</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>685</th>\n",
+              "      <td>748</td>\n",
+              "      <td>White Glacier</td>\n",
+              "      <td>03_arctic_canada_north</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>686</th>\n",
+              "      <td>749</td>\n",
+              "      <td>White Glacier</td>\n",
+              "      <td>03_arctic_canada_north</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>687</th>\n",
+              "      <td>750</td>\n",
+              "      <td>White Glacier</td>\n",
+              "      <td>03_arctic_canada_north</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>688</th>\n",
+              "      <td>751</td>\n",
+              "      <td>White Glacier</td>\n",
+              "      <td>03_arctic_canada_north</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>689</th>\n",
+              "      <td>752</td>\n",
+              "      <td>Qiangtang No. 1 Glacier</td>\n",
+              "      <td>13_central_asia</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>690 rows × 3 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-9a612d20-eb7d-4924-aef3-3bafb22bc6b5')\"\n",
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+              "\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
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+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
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+              "      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",
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+              "        document.querySelector('#df-9a612d20-eb7d-4924-aef3-3bafb22bc6b5 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-9a612d20-eb7d-4924-aef3-3bafb22bc6b5');\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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+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-53465eab-5b0b-4eee-bcba-029f4aadacd8\">\n",
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+              "            title=\"Suggest charts\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
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+              "    <g>\n",
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+              "    </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",
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+              "    }\n",
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+              "      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",
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+              "      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-53465eab-5b0b-4eee-bcba-029f4aadacd8 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "summary": "{\n  \"name\": \"dfs['borehole'][['id', 'glacier_name', 'region_id']]\",\n  \"rows\": 690,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"Int64\",\n        \"num_unique_values\": 690,\n        \"samples\": [\n          342,\n          574,\n          312\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"glacier_name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 167,\n        \"samples\": [\n          \"\\u54c8\\u62c9\\u65af\\u51b0\\u5ddd [Halasi Glacier]\",\n          \"King George Island Ice Cap\",\n          \"Nunatarssuaq Ice Cap\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"region_id\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 18,\n        \"samples\": [\n          \"11_central_europe\",\n          \"03_arctic_canada_north\",\n          \"17_southern_andes\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 9
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Borehole temperature at 15 m depth (`borehole.temperature_15m`)\n",
+        "\n",
+        "To compare their thermal regimes, it is useful to estimate a mean temperature for all boreholes at a fixed depth. A depth of 15 m is a good choice: deep enough to avoid the near-surface temperature fluctuations but not so deep as to exclude many shallower boreholes."
+      ],
+      "metadata": {
+        "id": "4g7vsA8MB96a"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "depth = 15  # m\n",
+        "\n",
+        "# Extract measurements for profiles that are equilibrated (or not specified)\n",
+        "equilibrated_or_unknown = (\n",
+        "  dfs['profile']['equilibrated'] |\n",
+        "  dfs['profile']['equilibrated'].isnull()\n",
+        ")\n",
+        "profile_ids = dfs['profile']['id'][equilibrated_or_unknown]\n",
+        "selected = dfs['measurement']['profile_id'].isin(profile_ids)\n",
+        "df = dfs['measurement'][selected]\n",
+        "\n",
+        "# Reduce each profile to mean temperature in 1 m depth bins\n",
+        "df['depth_bin'] = df['depth'].astype(int)\n",
+        "df = df.groupby(['borehole_id', 'profile_id', 'depth_bin'])['temperature'].mean()\n",
+        "\n",
+        "# Reduce repeat profiles to mean temperature in each depth bin\n",
+        "df = df.droplevel('profile_id').groupby(level=['borehole_id', 'depth_bin']).mean()\n",
+        "\n",
+        "# Interpolate mean profiles at fixed depth\n",
+        "interpolate_profile = lambda gdf: np.interp(\n",
+        "  x=depth, xp=gdf['depth_bin'], fp=gdf['temperature'], left=np.nan, right=np.nan\n",
+        ")\n",
+        "depth_temperature = df.reset_index().groupby('borehole_id').apply(interpolate_profile)\n",
+        "\n",
+        "# Assign temperature to boreholes\n",
+        "df = dfs['borehole'].set_index('id')\n",
+        "df['temperature_15m'] = depth_temperature\n",
+        "dfs['borehole'] = df.reset_index()"
+      ],
+      "metadata": {
+        "id": "bLAhVW1ZHK3r"
+      },
+      "execution_count": 10,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Plot boreholes on a map\n",
+        "\n",
+        "Let's begin by making a world map of all boreholes. We will use [`geopandas`](https://geopandas.org/) to load country outlines and\n",
+        "[`plotnine`](https://plotnine.org) - inspired by R's [`ggplot2`](https://ggplot2.tidyverse.org/) - for plotting."
+      ],
+      "metadata": {
+        "id": "1lp8JPd7IDiE"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "countries = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n",
+        "\n",
+        "(p9.ggplot(data=countries)\n",
+        "  + p9.geom_map(fill='white', color='lightgrey')\n",
+        "  + p9.geom_map(\n",
+        "      data=dfs['borehole'],\n",
+        "      fill='tomato',\n",
+        "      color='none',\n",
+        "      alpha=0.5,\n",
+        "      size=1\n",
+        "    )\n",
+        "  + p9.labs(x='Longitude (degrees)', y='Latitude (degrees)')\n",
+        ")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 514
+        },
+        "id": "u4qO-MxRKKQg",
+        "outputId": "663a1f47-96fc-4427-f129-090933be8c2c"
+      },
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {
+            "image/png": {
+              "width": 640,
+              "height": 480
+            }
+          }
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<Figure Size: (640 x 480)>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 11
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Plot temperature profiles\n",
+        "\n",
+        "We select boreholes by their `id` and plot all of their temperature profiles. Boreholes with many repeated measurements are chosen to highlight the seasonal fluctuations in temperature near the surface."
+      ],
+      "metadata": {
+        "id": "oMYjBHPQCUqh"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Select which boreholes' profiles to plot\n",
+        "borehole_ids = [\n",
+        "  251,  # Ледник Вавилова [Vavilov Glacier]\n",
+        "  358,  # Austre Lovénbreen\n",
+        "  180,  # Ледник Бильченок [Blichenok Glacier]\n",
+        "]\n",
+        "\n",
+        "# Extract the profiles of the selected boreholes\n",
+        "df = dfs['measurement']\n",
+        "mask = df['borehole_id'].isin(borehole_ids)\n",
+        "profiles = df[mask]\n",
+        "\n",
+        "# Add glacier name from borehole.glacier_name\n",
+        "glacier_name_by_id = dfs['borehole'].set_index('id')['glacier_name']\n",
+        "profiles['glacier_name'] = glacier_name_by_id.loc[profiles['borehole_id']].values\n",
+        "\n",
+        "# Enforce borehole display order\n",
+        "profiles['borehole_id'] = pd.Categorical(\n",
+        "  values=profiles['borehole_id'], categories=borehole_ids\n",
+        ")\n",
+        "\n",
+        "# Plot\n",
+        "mapping = p9.aes(\n",
+        "  x='temperature',\n",
+        "  y='depth',\n",
+        "  # Uniquely identify each profile as '{borehole_id}.{profile_id}'\n",
+        "  group='borehole_id.astype(str) + \".\" + profile_id.astype(str)'\n",
+        ")\n",
+        "(p9.ggplot(profiles, mapping)\n",
+        "  + p9.geom_path(size=0.25, color='darkgrey')\n",
+        "  + p9.geom_point(size=0.2, color='black')\n",
+        "  + p9.scales.scale_y_reverse()\n",
+        "  + p9.labs(x='Temperature (°C)', y='Depth (m)')\n",
+        "  + p9.facet_grid(\n",
+        "      '. ~ borehole_id + glacier_name',\n",
+        "      labeller=lambda label: label.replace(' [', '\\n[')\n",
+        "    )\n",
+        ")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 514
+        },
+        "id": "UiMFAe2l4Ror",
+        "outputId": "8e17df82-c212-4cb0-f136-21f331453b37"
+      },
+      "execution_count": 12,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 3 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {
+            "image/png": {
+              "width": 640,
+              "height": 480
+            }
+          }
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<Figure Size: (640 x 480)>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 12
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "We select boreholes by their id, classify each (manually) as being in the accumulation or ablation area of the glacier, and plot their first temperature profile. Boreholes are chosen to highlight the variety of glacier thermal regimes."
+      ],
+      "metadata": {
+        "id": "ZT9lnF_yE1_9"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Classify boreholes as located in accumulation or ablation area\n",
+        "borehole_area = {\n",
+        "  235: 'Accumulation',  # Devon Ice Cap\n",
+        "  264: 'Accumulation',  # White Glacier\n",
+        "  267: 'Ablation',  # White Glacier\n",
+        "  273: 'Accumulation',  # Grenzgletscher\n",
+        "  177: 'Ablation',  # Grenzgletscher\n",
+        "  41: 'Accumulation',  # Kongsvegen\n",
+        "  40: 'Ablation',  # Kongsvegen\n",
+        "  109: 'Accumulation'  # Hansbreen\n",
+        "}\n",
+        "\n",
+        "# Extract the first profiles of the selected boreholes\n",
+        "df = dfs['measurement']\n",
+        "mask = df['borehole_id'].isin(borehole_area) & df['profile_id'].eq(1)\n",
+        "profiles = df[mask]\n",
+        "\n",
+        "# Add glacier name from borehole.glacier_name\n",
+        "glacier_name_by_id = dfs['borehole'].set_index('id')['glacier_name']\n",
+        "profiles['glacier_name'] = glacier_name_by_id.loc[profiles['borehole_id']].values\n",
+        "\n",
+        "# Add glacier area from above and set display order: Accumulation, Ablation\n",
+        "profiles['area'] = pd.Categorical(\n",
+        "  values=profiles['borehole_id'].map(borehole_area),\n",
+        "  categories=['Accumulation', 'Ablation']\n",
+        ")\n",
+        "\n",
+        "# Plot\n",
+        "mapping = p9.aes(\n",
+        "  x='temperature',\n",
+        "  y='depth',\n",
+        "  color='glacier_name',\n",
+        "  linetype='area',\n",
+        "  group='borehole_id'\n",
+        ")\n",
+        "(p9.ggplot(profiles, mapping)\n",
+        "  + p9.geom_path()\n",
+        "  + p9.geom_point(size=0.5)\n",
+        "  + p9.scale_linetype_manual(values=['solid', 'dotted'])\n",
+        "  + p9.scales.scale_y_reverse()\n",
+        "  + p9.labs(x='Temperature (°C)', y='Depth (m)', color='Glacier', linetype='Area')\n",
+        ")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 514
+        },
+        "id": "iu8QoFNACTym",
+        "outputId": "37ab20b6-6dfb-45ab-83c9-4eb1a3598301"
+      },
+      "execution_count": 13,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {
+            "image/png": {
+              "width": 640,
+              "height": 480
+            }
+          }
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<Figure Size: (640 x 480)>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 13
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Compare regional statistics\n",
+        "\n",
+        "Using `region_id`, we can summarize borehole statistics by region."
+      ],
+      "metadata": {
+        "id": "gDi-aC6dS6sx"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "dfs['borehole'].groupby('region_id').agg(**{\n",
+        "  'glacier_count': ('glacier_id', 'nunique'),\n",
+        "  'borehole_count': ('region_id', 'size'),\n",
+        "  'borehole_count_15m': ('measurement_depth', lambda x: x.ge(15).sum())\n",
+        "})"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 645
+        },
+        "id": "b3yVJ5_9XMH9",
+        "outputId": "7ae44805-ce2c-4d22-d390-ecf19091f308"
+      },
+      "execution_count": 14,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "                                   glacier_count  borehole_count  \\\n",
+              "region_id                                                          \n",
+              "01_alaska                                     11              59   \n",
+              "02_western_canada_usa                          3              15   \n",
+              "03_arctic_canada_north                        10              67   \n",
+              "04_arctic_canada_south                         4              17   \n",
+              "05_greenland_periphery                         9              16   \n",
+              "07_svalbard_jan_mayen                         30              80   \n",
+              "08_scandinavia                                 2               5   \n",
+              "09_russian_arctic                             13              61   \n",
+              "10_north_asia                                 10              22   \n",
+              "11_central_europe                             23             191   \n",
+              "12_caucasus_middle_east                        4               9   \n",
+              "13_central_asia                               31              90   \n",
+              "14_south_asia_west                             1               1   \n",
+              "15_south_asia_east                            10              21   \n",
+              "16_low_latitudes                               8              10   \n",
+              "17_southern_andes                              5               5   \n",
+              "19_subantarctic_antarctic_islands              9              17   \n",
+              "20_antarctic_mainland                          3               4   \n",
+              "\n",
+              "                                   borehole_count_15m  \n",
+              "region_id                                              \n",
+              "01_alaska                                          31  \n",
+              "02_western_canada_usa                               4  \n",
+              "03_arctic_canada_north                             56  \n",
+              "04_arctic_canada_south                             17  \n",
+              "05_greenland_periphery                              5  \n",
+              "07_svalbard_jan_mayen                              51  \n",
+              "08_scandinavia                                      5  \n",
+              "09_russian_arctic                                  19  \n",
+              "10_north_asia                                      10  \n",
+              "11_central_europe                                 163  \n",
+              "12_caucasus_middle_east                             8  \n",
+              "13_central_asia                                    76  \n",
+              "14_south_asia_west                                  0  \n",
+              "15_south_asia_east                                 15  \n",
+              "16_low_latitudes                                   10  \n",
+              "17_southern_andes                                   4  \n",
+              "19_subantarctic_antarctic_islands                   8  \n",
+              "20_antarctic_mainland                               4  "
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-1dae8d77-e212-47e6-90cf-992992ef468c\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>glacier_count</th>\n",
+              "      <th>borehole_count</th>\n",
+              "      <th>borehole_count_15m</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>region_id</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>01_alaska</th>\n",
+              "      <td>11</td>\n",
+              "      <td>59</td>\n",
+              "      <td>31</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>02_western_canada_usa</th>\n",
+              "      <td>3</td>\n",
+              "      <td>15</td>\n",
+              "      <td>4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>03_arctic_canada_north</th>\n",
+              "      <td>10</td>\n",
+              "      <td>67</td>\n",
+              "      <td>56</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>04_arctic_canada_south</th>\n",
+              "      <td>4</td>\n",
+              "      <td>17</td>\n",
+              "      <td>17</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>05_greenland_periphery</th>\n",
+              "      <td>9</td>\n",
+              "      <td>16</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>07_svalbard_jan_mayen</th>\n",
+              "      <td>30</td>\n",
+              "      <td>80</td>\n",
+              "      <td>51</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>08_scandinavia</th>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>09_russian_arctic</th>\n",
+              "      <td>13</td>\n",
+              "      <td>61</td>\n",
+              "      <td>19</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10_north_asia</th>\n",
+              "      <td>10</td>\n",
+              "      <td>22</td>\n",
+              "      <td>10</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>11_central_europe</th>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>163</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>12_caucasus_middle_east</th>\n",
+              "      <td>4</td>\n",
+              "      <td>9</td>\n",
+              "      <td>8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>13_central_asia</th>\n",
+              "      <td>31</td>\n",
+              "      <td>90</td>\n",
+              "      <td>76</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14_south_asia_west</th>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>15_south_asia_east</th>\n",
+              "      <td>10</td>\n",
+              "      <td>21</td>\n",
+              "      <td>15</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>16_low_latitudes</th>\n",
+              "      <td>8</td>\n",
+              "      <td>10</td>\n",
+              "      <td>10</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>17_southern_andes</th>\n",
+              "      <td>5</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19_subantarctic_antarctic_islands</th>\n",
+              "      <td>9</td>\n",
+              "      <td>17</td>\n",
+              "      <td>8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20_antarctic_mainland</th>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1dae8d77-e212-47e6-90cf-992992ef468c')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
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+              "  </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",
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+              "      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-1dae8d77-e212-47e6-90cf-992992ef468c 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-1dae8d77-e212-47e6-90cf-992992ef468c');\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",
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+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-fc23e087-895f-4e86-9344-c5ea1a8892b7\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fc23e087-895f-4e86-9344-c5ea1a8892b7')\"\n",
+              "            title=\"Suggest charts\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
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+              "    <g>\n",
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+              "    </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",
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+              "    }\n",
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+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\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",
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+              "      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-fc23e087-895f-4e86-9344-c5ea1a8892b7 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "summary": "{\n  \"name\": \"})\",\n  \"rows\": 18,\n  \"fields\": [\n    {\n      \"column\": \"region_id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 18,\n        \"samples\": [\n          \"01_alaska\",\n          \"02_western_canada_usa\",\n          \"10_north_asia\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"glacier_count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8,\n        \"min\": 1,\n        \"max\": 31,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          8,\n          31,\n          11\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"borehole_count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 47,\n        \"min\": 1,\n        \"max\": 191,\n        \"num_unique_values\": 16,\n        \"samples\": [\n          59,\n          15,\n          80\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"borehole_count_15m\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 40,\n        \"min\": 0,\n        \"max\": 163,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          0,\n          8,\n          31\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 14
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Regional distributions of numeric attributes, such as borehole elevation, measurement depth, and 15 m temperature are best compared graphically."
+      ],
+      "metadata": {
+        "id": "GvpqvkEWWSVQ"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "variables = ['measurement_depth', 'elevation', 'temperature_15m']\n",
+        "\n",
+        "# Melt from wide to long format for plotting\n",
+        "df = dfs['borehole'].melt(\n",
+        "  id_vars=['region_id'],\n",
+        "  value_vars=variables,\n",
+        "  var_name='variable',\n",
+        "  value_name='value'\n",
+        ")\n",
+        "\n",
+        "# Set region display order\n",
+        "df['region_id'] = pd.Categorical(\n",
+        "  values=df['region_id'],\n",
+        "  categories=df['region_id'].drop_duplicates().sort_values(ascending=False)\n",
+        ")\n",
+        "\n",
+        "# Plot\n",
+        "(\n",
+        "  p9.ggplot(df, p9.aes(x='region_id', y='value'))\n",
+        "  + p9.geom_jitter(height=0, width=0.1, alpha=0.2, stroke=0, size=2)\n",
+        "  + p9.coord_flip()\n",
+        "  + p9.facet_grid('. ~ variable', scales='free')\n",
+        ")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 514
+        },
+        "id": "a3AJOUA0XNxr",
+        "outputId": "93968008-0fbe-47ff-c02f-327a0796261b"
+      },
+      "execution_count": 15,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 3 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {
+            "image/png": {
+              "width": 640,
+              "height": 480
+            }
+          }
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<Figure Size: (640 x 480)>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 15
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Plot measurement timelines\n",
+        "\n",
+        "We plot a histogram of the number of boreholes measured each year."
+      ],
+      "metadata": {
+        "id": "s63_stA30H4x"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "each_borehole_year = dfs['profile'][['borehole_id', 'year']].drop_duplicates()\n",
+        "\n",
+        "(p9.ggplot(each_borehole_year, p9.aes(x='year'))\n",
+        "  + p9.geom_histogram(binwidth=1)\n",
+        "  + p9.labs(x='Year', y='Boreholes (count)')\n",
+        ")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 514
+        },
+        "id": "bCxk18VE5FQO",
+        "outputId": "7eb819da-d222-4846-986a-d4eb30913354"
+      },
+      "execution_count": 16,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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+          },
+          "metadata": {
+            "image/png": {
+              "width": 640,
+              "height": 480
+            }
+          }
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<Figure Size: (640 x 480)>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 16
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Alternatively, we can plot the number of glaciers measured each year."
+      ],
+      "metadata": {
+        "id": "xRUZ39aqF_YF"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df = dfs['profile'].merge(dfs['borehole'], left_on='borehole_id', right_on='id')\n",
+        "each_glacier_year = df[['glacier_id', 'year']].drop_duplicates()\n",
+        "\n",
+        "(p9.ggplot(each_glacier_year, p9.aes(x='year'))\n",
+        "  + p9.geom_histogram(binwidth=1)\n",
+        "  + p9.labs(x='Year', y='Glaciers (count)')\n",
+        ")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 514
+        },
+        "id": "qn_imnIHGdOw",
+        "outputId": "5cf74918-5910-46f7-a974-e5bfd6802cfa"
+      },
+      "execution_count": 17,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {
+            "image/png": {
+              "width": 640,
+              "height": 480
+            }
+          }
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<Figure Size: (640 x 480)>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 17
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Summarize data sources\n",
+        "\n",
+        "All of the sources of primary (temperature versus depth) and secondary (e.g. borehole elevation) data are referenced in the `source` table and can be explored in the same way as the data in the other tables."
+      ],
+      "metadata": {
+        "id": "PoFNglmFQJxu"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df = dfs['source']\n",
+        "\n",
+        "# Type\n",
+        "is_submission = df['type'].eq('personal-communication')\n",
+        "is_primary_source = df['id'].isin(dfs['profile']['source_id'])\n",
+        "print(\n",
+        "  'Submissions:',\n",
+        "  is_submission.sum()\n",
+        ")\n",
+        "print(\n",
+        "  'Literature:',\n",
+        "  (~is_submission).sum()\n",
+        ")\n",
+        "print(\n",
+        "  'Literature (primary):',\n",
+        "  (is_primary_source & ~is_submission).sum()\n",
+        ")\n",
+        "print(\n",
+        "  'Literature (secondary):',\n",
+        "  (~is_primary_source & ~is_submission).sum()\n",
+        ")\n",
+        "\n",
+        "# Language\n",
+        "is_english = df['language'].eq('en')\n",
+        "print(\n",
+        "  'Literature (non-English):',\n",
+        "  (~is_english & ~is_submission).sum(),\n",
+        "  f'({(~is_english & ~is_submission).sum() / (~is_submission).sum():.0%})'\n",
+        ")\n",
+        "is_early = df['year'].lt(1990)\n",
+        "print(\n",
+        "  'Literature before 1990 (non-English):',\n",
+        "  (~is_english & ~is_submission & is_early).sum(),\n",
+        "  f'({(~is_english & ~is_submission & is_early).sum() / (~is_submission & is_early).sum():.0%})'\n",
+        ")\n",
+        "\n",
+        "# Year and language by decade\n",
+        "(\n",
+        "  p9.ggplot(df[~is_submission], p9.aes(x='year', fill='language'))\n",
+        "  + p9.geom_histogram(binwidth=10, boundary=0)\n",
+        "  + p9.scale_x_continuous(\n",
+        "    minor_breaks=lambda limits: range(\n",
+        "      round(limits[0] / 10) * 10, round(limits[1] / 10) * 10 + 10, 10\n",
+        "    )\n",
+        "  )\n",
+        "  + p9.labs(x='Decade', y='Literature (count)')\n",
+        ")"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 619
+        },
+        "id": "fmm0MiX2qa9p",
+        "outputId": "797f85e1-af74-48e1-f512-adf1231faad7"
+      },
+      "execution_count": 18,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Submissions: 9\n",
+            "Literature: 242\n",
+            "Literature (primary): 176\n",
+            "Literature (secondary): 66\n",
+            "Literature (non-English): 62 (26%)\n",
+            "Literature before 1990 (non-English): 37 (45%)\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ],
+            "image/png": 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+          },
+          "metadata": {
+            "image/png": {
+              "width": 640,
+              "height": 480
+            }
+          }
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<Figure Size: (640 x 480)>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 18
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Summarize the work done on each glacier"
+      ],
+      "metadata": {
+        "id": "Um32u7p-BFvh"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Say we want to build a human-friendly table summarizing all englacial temperature measurements, providing - for each glacier in a region - the number of boreholes and a list of all sources."
+      ],
+      "metadata": {
+        "id": "s6D9kXTmY6GE"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Define \"glacier\" (`borehole.glacier_group_id`)\n",
+        "\n",
+        "First, what do we mean by \"glacier\"? We could use the `glacier_id` computed earlier to count glaciers (based on `glims_id`), but glaciers that we colloquially refer to as a single glacier may have multiple GLIMS ids (e.g. the drainage basins of Lomonosovfonna ice cap). Nor can we rely on `glacier_name` alone, because a glacier may have many names (e.g. Lomonosovfonna, Ледниковое Плато Ломоносова).\n",
+        "\n",
+        "A programmatic solution, which assumes that different glaciers in the data do not have the same name (true now but may not always be), is to build a network graph of (`glims_id`, `glacier_name`) pairs and group connected pairs together as the same glacier."
+      ],
+      "metadata": {
+        "id": "Zs3460EVZul6"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df = dfs['borehole'].set_index('id')\n",
+        "\n",
+        "# Build undirected network graph from pairs of (glims_id, glacier_name)\n",
+        "graph = networkx.Graph()\n",
+        "pairs = df[['glims_id', 'glacier_name']].drop_duplicates()\n",
+        "# For boreholes without a GLIMS id, use the glacier name\n",
+        "pairs['glims_id'] = pairs['glims_id'].combine_first(pairs['glacier_name'])\n",
+        "graph.add_edges_from(pairs.itertuples(index=False, name=None))\n",
+        "\n",
+        "# Map glims_id/glacier_name values to group ids\n",
+        "value_to_group_id = {}\n",
+        "for group_id, values in enumerate(networkx.connected_components(graph)):\n",
+        "  value_to_group_id.update({value: group_id for value in values})\n",
+        "\n",
+        "# Assign boreholes to a glacier_group_id\n",
+        "df['glacier_group_id'] = df['glims_id'].map(value_to_group_id).combine_first(\n",
+        "  df['glacier_name'].map(value_to_group_id)\n",
+        ").astype(int)\n",
+        "dfs['borehole'] = df.reset_index()\n",
+        "\n",
+        "# Confirm that no glaciers in a different region share a group\n",
+        "assert not dfs['borehole'].groupby('glacier_group_id')['region_id'].nunique().gt(1).any()"
+      ],
+      "metadata": {
+        "id": "sHi7JIWvbCtW"
+      },
+      "execution_count": 19,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Extract all borehole sources (`borehole.source_ids`)\n",
+        "\n",
+        "Sources are referenced explicitly by their `id` (e.g. blatter1985) in columns `borehole_source_id` and `profile_source_id`, but also in `borehole.notes` and `profile.notes`. We can extract source ids from text using a [regular expression](https://docs.python.org/3/howto/regex.html)."
+      ],
+      "metadata": {
+        "id": "F-hYedDiCR78"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Regular expression (regex) to match source id within text\n",
+        "source_id_regex = r'(?:^|\\s|\\()([a-z]+[0-9]{4}[a-z]?)(?:$|\\s|\\)|,|\\.)'\n",
+        "\n",
+        "# Extract all source ids for each borehole\n",
+        "source_ids_by_borehole_id = (\n",
+        "  # borehole.source_id\n",
+        "  dfs['borehole'].groupby('id')['source_id'].agg(list)\n",
+        ") + (\n",
+        "  # profile.source_id\n",
+        "  dfs['profile'].groupby('borehole_id')['source_id'].agg(list)\n",
+        ") + (\n",
+        "  # borehole.notes\n",
+        "  dfs['borehole'].set_index('id')['notes']\n",
+        "  .str.extractall(source_id_regex)[0]\n",
+        "  .groupby(level='id')\n",
+        "  .agg(list)\n",
+        "  .reindex(dfs['borehole']['id'], fill_value=[])\n",
+        ") + (\n",
+        "  # profile.notes\n",
+        "  dfs['profile'].set_index('borehole_id')['notes']\n",
+        "  .str.extractall(source_id_regex)[0]\n",
+        "  .groupby(level='borehole_id')\n",
+        "  .agg(list)\n",
+        "  .reindex(dfs['borehole']['id'], fill_value=[])\n",
+        ")\n",
+        "\n",
+        "# Assign source ids to boreholes\n",
+        "df = dfs['borehole'].set_index('id')\n",
+        "df['source_ids'] = source_ids_by_borehole_id.apply(set)\n",
+        "dfs['borehole'] = df.reset_index()"
+      ],
+      "metadata": {
+        "id": "_kGHk0BABKDq"
+      },
+      "execution_count": 20,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Tabulate by glacier\n",
+        "\n",
+        "Finally we are ready to build our desired table. We parse source ids into their component parts in order to sort them by year, then author name, then (if present) suffix."
+      ],
+      "metadata": {
+        "id": "7mcCT4ovd23f"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Regular expression to parse source id parts\n",
+        "source_id_parts_regex = r'^(?P<name>[a-z]+)(?P<year>[0-9]{4})(?P<suffix>[a-z]?)$'\n",
+        "\n",
+        "def source_id_sort_key(source_id: str) -> tuple:\n",
+        "  \"\"\"Sort key for source ids: year, name, suffix.\"\"\"\n",
+        "  parts = re.match(source_id_parts_regex, source_id).groups()\n",
+        "  return parts[1], parts[0], parts[2]\n",
+        "\n",
+        "# Tabulate by glacier\n",
+        "dfs['borehole'].groupby(['region_id', 'glacier_group_id']).agg(**{\n",
+        "  'glacier_names': ('glacier_name', lambda x: ', '.join(x.dropna().drop_duplicates())),\n",
+        "  'glims_ids': ('glims_id', lambda x: ', '.join(x.dropna().drop_duplicates())),\n",
+        "  'borehole_count': ('id', 'nunique'),\n",
+        "  'source_ids': (\n",
+        "    'source_ids',\n",
+        "    lambda x: ', '.join(sorted(set.union(*x), key=source_id_sort_key))\n",
+        "  )\n",
+        "}).droplevel('glacier_group_id').sort_values(['region_id', 'glacier_names'])"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 455
+        },
+        "id": "_K8oKrbmYmJy",
+        "outputId": "e27b9678-4f95-4b22-c93d-9bcfd8141c88"
+      },
+      "execution_count": 21,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "                                                glacier_names  \\\n",
+              "region_id                                                       \n",
+              "01_alaska                                Black Rapids Glacier   \n",
+              "01_alaska                                         Fox Glacier   \n",
+              "01_alaska                                      Jarvis Glacier   \n",
+              "01_alaska                               Little Kluane Glacier   \n",
+              "01_alaska                                      McCall Glacier   \n",
+              "...                                                       ...   \n",
+              "19_subantarctic_antarctic_islands  King George Island Ice Cap   \n",
+              "19_subantarctic_antarctic_islands       Nelson Island Ice Cap   \n",
+              "20_antarctic_mainland                           Bruce Plateau   \n",
+              "20_antarctic_mainland                            Dyer Plateau   \n",
+              "20_antarctic_mainland                            Styx Glacier   \n",
+              "\n",
+              "                                                        glims_ids  \\\n",
+              "region_id                                                           \n",
+              "01_alaska                                          G213683E63392N   \n",
+              "01_alaska                                          G219698E61200N   \n",
+              "01_alaska                                          G214333E63481N   \n",
+              "01_alaska                                          G220578E60873N   \n",
+              "01_alaska                                          G216152E69302N   \n",
+              "...                                                           ...   \n",
+              "19_subantarctic_antarctic_islands                  G301226E62159S   \n",
+              "19_subantarctic_antarctic_islands  G301002E62274S, G300887E62269S   \n",
+              "20_antarctic_mainland                              G295982E66134S   \n",
+              "20_antarctic_mainland                                               \n",
+              "20_antarctic_mainland                                               \n",
+              "\n",
+              "                                   borehole_count  \\\n",
+              "region_id                                           \n",
+              "01_alaska                                       3   \n",
+              "01_alaska                                       6   \n",
+              "01_alaska                                       2   \n",
+              "01_alaska                                       1   \n",
+              "01_alaska                                      27   \n",
+              "...                                           ...   \n",
+              "19_subantarctic_antarctic_islands               1   \n",
+              "19_subantarctic_antarctic_islands               3   \n",
+              "20_antarctic_mainland                           2   \n",
+              "20_antarctic_mainland                           1   \n",
+              "20_antarctic_mainland                           1   \n",
+              "\n",
+              "                                                                          source_ids  \n",
+              "region_id                                                                             \n",
+              "01_alaska                                                               harrison1975  \n",
+              "01_alaska                                                                classen1970  \n",
+              "01_alaska                                                           lee2019, lee2020  \n",
+              "01_alaska                                                                flowers2022  \n",
+              "01_alaska                          orvig1963, trabant1975, rabus2002, weller2007,...  \n",
+              "...                                                                              ...  \n",
+              "19_subantarctic_antarctic_islands                                            ren1990  \n",
+              "19_subantarctic_antarctic_islands                                            ren1990  \n",
+              "20_antarctic_mainland                                                 zagorodnov2012  \n",
+              "20_antarctic_mainland                                                   nicholls1993  \n",
+              "20_antarctic_mainland                                              han2015, yang2018  \n",
+              "\n",
+              "[155 rows x 4 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-bc8cfc7b-ef85-44e0-97d6-a5651926bfc1\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>glacier_names</th>\n",
+              "      <th>glims_ids</th>\n",
+              "      <th>borehole_count</th>\n",
+              "      <th>source_ids</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>region_id</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>01_alaska</th>\n",
+              "      <td>Black Rapids Glacier</td>\n",
+              "      <td>G213683E63392N</td>\n",
+              "      <td>3</td>\n",
+              "      <td>harrison1975</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>01_alaska</th>\n",
+              "      <td>Fox Glacier</td>\n",
+              "      <td>G219698E61200N</td>\n",
+              "      <td>6</td>\n",
+              "      <td>classen1970</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>01_alaska</th>\n",
+              "      <td>Jarvis Glacier</td>\n",
+              "      <td>G214333E63481N</td>\n",
+              "      <td>2</td>\n",
+              "      <td>lee2019, lee2020</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>01_alaska</th>\n",
+              "      <td>Little Kluane Glacier</td>\n",
+              "      <td>G220578E60873N</td>\n",
+              "      <td>1</td>\n",
+              "      <td>flowers2022</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>01_alaska</th>\n",
+              "      <td>McCall Glacier</td>\n",
+              "      <td>G216152E69302N</td>\n",
+              "      <td>27</td>\n",
+              "      <td>orvig1963, trabant1975, rabus2002, weller2007,...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19_subantarctic_antarctic_islands</th>\n",
+              "      <td>King George Island Ice Cap</td>\n",
+              "      <td>G301226E62159S</td>\n",
+              "      <td>1</td>\n",
+              "      <td>ren1990</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19_subantarctic_antarctic_islands</th>\n",
+              "      <td>Nelson Island Ice Cap</td>\n",
+              "      <td>G301002E62274S, G300887E62269S</td>\n",
+              "      <td>3</td>\n",
+              "      <td>ren1990</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20_antarctic_mainland</th>\n",
+              "      <td>Bruce Plateau</td>\n",
+              "      <td>G295982E66134S</td>\n",
+              "      <td>2</td>\n",
+              "      <td>zagorodnov2012</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20_antarctic_mainland</th>\n",
+              "      <td>Dyer Plateau</td>\n",
+              "      <td></td>\n",
+              "      <td>1</td>\n",
+              "      <td>nicholls1993</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20_antarctic_mainland</th>\n",
+              "      <td>Styx Glacier</td>\n",
+              "      <td></td>\n",
+              "      <td>1</td>\n",
+              "      <td>han2015, yang2018</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>155 rows × 4 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-bc8cfc7b-ef85-44e0-97d6-a5651926bfc1')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
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+              "      border: none;\n",
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+              "      height: 32px;\n",
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+              "      width: 32px;\n",
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+              "\n",
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+              "      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",
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+              "      const buttonEl =\n",
+              "        document.querySelector('#df-bc8cfc7b-ef85-44e0-97d6-a5651926bfc1 button.colab-df-convert');\n",
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+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
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+              "        const element = document.querySelector('#df-bc8cfc7b-ef85-44e0-97d6-a5651926bfc1');\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",
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+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
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+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-eb18cdf8-3831-4b91-9720-538841cec15e\">\n",
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+              "\n",
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+              "    </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",
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+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
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+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
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+              "    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",
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+              "      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-eb18cdf8-3831-4b91-9720-538841cec15e button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "summary": "{\n  \"name\": \"})\",\n  \"rows\": 155,\n  \"fields\": [\n    {\n      \"column\": \"region_id\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 18,\n        \"samples\": [\n          \"01_alaska\",\n          \"02_western_canada_usa\",\n          \"10_north_asia\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"glacier_names\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 155,\n        \"samples\": [\n          \"Hintergrat Glacier\",\n          \"Guanaco Glacier\",\n          \"Austfonna\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"glims_ids\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 154,\n        \"samples\": [\n          \"G278488E75058N, G277553E75571N\",\n          \"G042470E43307N\",\n          \"G295982E66134S\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"borehole_count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8,\n        \"min\": 1,\n        \"max\": 80,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          3,\n          31,\n          5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"source_ids\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 139,\n        \"samples\": [\n          \"sugiyama2019, sugiyama2022\",\n          \"schwerzmann2006, schwerzmann2006a\",\n          \"singer1967, zagorodnov1981a, macheret1985, kotlyakov2004, chernov2015\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 21
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file