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Fix Jupyter headings not rendering with pandoc (#318)
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docs/examples/climatology-and-departures.ipynb

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"\n",
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"We are using xarray's OPeNDAP support to read a netCDF4 dataset file directly from its source. The data is not loaded over the network until we perform operations on it (e.g., temperature unit adjustment).\n",
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"\n",
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"More information on the xarray's OpenDAP support can be found [here](https://docs.xarray.dev/en/stable/user-guide/io.html#opendap)."
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"More information on the xarray's OPeNDAP support can be found [here](https://docs.xarray.dev/en/stable/user-guide/io.html#opendap)."
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 2.1 Seasonal Cycle\n",
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"### Seasonal Cycle\n",
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"\n",
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"**Groups time coordinates by season**\n",
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"\n",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 2.2 Custom Seasonal Cycle\n",
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"### Custom Seasonal Cycle\n",
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"**Groups time coordinates by season**\n",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 2.3 Annual Cycle\n",
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"### Annual Cycle\n",
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"\n",
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"**Groups time coordinates by month**"
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 2.4 Daily Cycle\n",
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"### Daily Cycle\n",
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"\n",
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"**Groups time coordinates by month and day.**"
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]
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 3.1. Seasonal Cycle\n",
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"### Seasonal Cycle\n",
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"\n",
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"The `season_config` dictionary keyword argument can be passed to `.departures()` for more granular configuration. We will be sticking with the default settings.\n"
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]
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 3.2. Custom Seasonal Cycle\n",
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"### Custom Seasonal Cycle\n",
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"\n",
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"To calculate custom seasonal cycle departures, we must first define our custom seasons using the `season_config` dictionary and the `\"custom_seasons\"` key.\n",
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"\n",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 3.3. Annual Cycle"
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"### Annual Cycle"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### 3.4. Daily Cycle\n"
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"### Daily Cycle\n"
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]
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},
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.12"
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"version": "3.9.13"
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},
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"toc": {
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"base_numbering": 1,

docs/examples/general-utilities.ipynb

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.12"
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"version": "3.9.13"
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},
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"vscode": {
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"interpreter": {

docs/examples/spatial-average.ipynb

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"\n",
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"We are using xarray's OPeNDAP support to read a netCDF4 dataset file directly from its source. The data is not loaded over the network until we perform operations on it (e.g., temperature unit adjustment).\n",
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"\n",
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"More information on the xarray's OpenDAP support can be found [here](https://docs.xarray.dev/en/stable/user-guide/io.html#opendap)."
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"More information on the xarray's OPeNDAP support can be found [here](https://docs.xarray.dev/en/stable/user-guide/io.html#opendap)."
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]
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.12"
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"version": "3.9.13"
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},
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"orig_nbformat": 4
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},

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