diff --git a/docs/source/notebooks/custom-conversions.ipynb b/docs/source/notebooks/custom-conversions.ipynb
deleted file mode 100644
index cda098d..0000000
--- a/docs/source/notebooks/custom-conversions.ipynb
+++ /dev/null
@@ -1,188 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "446173ed",
-   "metadata": {},
-   "source": [
-    "# Custom conversions\n",
-    "\n",
-    "Here we show how custom conversions can be passed to OpenSCM-Units' `ScmUnitRegistry`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "cd0c599a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# NBVAL_IGNORE_OUTPUT\n",
-    "import traceback\n",
-    "\n",
-    "import pandas as pd\n",
-    "\n",
-    "from openscm_units import ScmUnitRegistry"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "711f59c0",
-   "metadata": {},
-   "source": [
-    "## Custom conversions DataFrame\n",
-    "\n",
-    "On initialisation, a `pd.DataFrame` can be provided which contains the custom conversions. This `pd.DataFrame` should be formatted as shown below, with an index that contains the different species and columns which contain the conversion for different metrics."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "a6ed71c3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<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>Custom1</th>\n",
-       "      <th>Custom2</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Species</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>CH4</th>\n",
-       "      <td>20</td>\n",
-       "      <td>25</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>N2O</th>\n",
-       "      <td>341</td>\n",
-       "      <td>300</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "         Custom1  Custom2\n",
-       "Species                  \n",
-       "CH4           20       25\n",
-       "N2O          341      300"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "metric_conversions_custom = pd.DataFrame([\n",
-    "    {\n",
-    "        \"Species\": \"CH4\",\n",
-    "        \"Custom1\": 20,\n",
-    "        \"Custom2\": 25,\n",
-    "    },\n",
-    "    {\n",
-    "        \"Species\": \"N2O\",\n",
-    "        \"Custom1\": 341,\n",
-    "        \"Custom2\": 300,\n",
-    "    },\n",
-    "]).set_index(\"Species\")\n",
-    "metric_conversions_custom"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b26b3ec2",
-   "metadata": {},
-   "source": [
-    "With such a `pd.DataFrame`, we can use custom conversions in our unit registry as shown."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "9f298b21",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'N2O: 1 N2O'"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "'N2O in CO2-equivalent: 341.0 CO2'"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# initialise the unit registry with custom conversions\n",
-    "unit_registry = ScmUnitRegistry(metric_conversions=metric_conversions_custom)\n",
-    "# add standard conversions before moving on\n",
-    "unit_registry.add_standards()\n",
-    "\n",
-    "# start with e.g. N2O\n",
-    "nitrous_oxide = unit_registry(\"N2O\")\n",
-    "display(f\"N2O: {nitrous_oxide}\")\n",
-    "\n",
-    "# our unit registry allows us to make conversions using the \n",
-    "# conversion factors we previously defined\n",
-    "with unit_registry.context(\"Custom1\"):\n",
-    "    display(f\"N2O in CO2-equivalent: {nitrous_oxide.to('CO2')}\")"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}