Update documentation

Author: e-marshall

_sources/background/2_data_cubes.md

@@ -34,7 +34,7 @@ To use this data for scientific analysis, we need to construct it into the form
 ```{figure} imgs/cube.png
 ---
 ---
-Illustration of earth observation time series organized as a 3-d Xarray data cube. Source: Adapted from [Xarray Dev](https://xarray.dev/)
+Illustration of earth observation time series organized as a 3-d Xarray data cube. Source: Adapted from [Xarray Dev](https://xarray.dev/).
 ```
 
 In the context of the Xarray data model, univariate data cubes can be represented by an `xr.DataArray` or a `xr.Dataset` with one `data_variable`. Multivariate data cubes should be represented by `xr.Dataset` objects. The building blocks of `xr.DataArrays` and `xr.Datasets` are dimensions, coordinates, data variables, attributes. We recommend the Xarray [terminology](https://docs.xarray.dev/en/stable/user-guide/terminology.html) for a detailed overview of Xarray objects and common operations.

background/2_data_cubes.html

@@ -460,7 +460,7 @@ <h3><em>An example dataset as a Xarray cube</em><a class="headerlink" href="#an-
 <figure class="align-default" id="id17">
 <img alt="../_images/cube.png" src="../_images/cube.png" />
 <figcaption>
-<p><span class="caption-number">Fig. 3 </span><span class="caption-text">Illustration of earth observation time series organized as a 3-d Xarray data cube. Source: Adapted from <a class="reference external" href="https://xarray.dev/">Xarray Dev</a></span><a class="headerlink" href="#id17" title="Permalink to this image">#</a></p>
+<p><span class="caption-number">Fig. 3 </span><span class="caption-text">Illustration of earth observation time series organized as a 3-d Xarray data cube. Source: Adapted from <a class="reference external" href="https://xarray.dev/">Xarray Dev</a>.</span><a class="headerlink" href="#id17" title="Permalink to this image">#</a></p>
 </figcaption>
 </figure>
 <p>In the context of the Xarray data model, univariate data cubes can be represented by an <code class="docutils literal notranslate"><span class="pre">xr.DataArray</span></code> or a <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code> with one <code class="docutils literal notranslate"><span class="pre">data_variable</span></code>. Multivariate data cubes should be represented by <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code> objects. The building blocks of <code class="docutils literal notranslate"><span class="pre">xr.DataArrays</span></code> and <code class="docutils literal notranslate"><span class="pre">xr.Datasets</span></code> are dimensions, coordinates, data variables, attributes. We recommend the Xarray <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/terminology.html">terminology</a> for a detailed overview of Xarray objects and common operations.</p>