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xarray-contrib · Feb 23, 2024 · ce6da06 · ce6da06
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diff --git a/_sources/fundamentals/01_datastructures.ipynb b/_sources/fundamentals/01_datastructures.ipynb
@@ -75,7 +75,7 @@
     "multi-dimensional arrays while `Dataset` combines multiple arrays.\n",
     "\n",
     "Both classes are most commonly created by reading data.\n",
-    "To learn how to create a DataArray or Dataset manually, see the **Working with labeled data** tutorial.\n",
+    "To learn how to create a DataArray or Dataset manually, see the [Creating Data Structures](01.1_creating_data_structures.ipynb) tutorial.\n",
     "\n",
     "Xarray has a few small real-world tutorial datasets hosted in this GitHub repository https://github.com/pydata/xarray-data.\n",
     "We'll use the [xarray.tutorial.load_dataset](https://docs.xarray.dev/en/stable/generated/xarray.tutorial.open_dataset.html#xarray.tutorial.open_dataset) convenience function to download and open the `air_temperature` (National Centers for Environmental Prediction) Dataset by name."

diff --git a/fundamentals/01_datastructures.html b/fundamentals/01_datastructures.html
@@ -600,7 +600,7 @@ <h2>Data structures<a class="headerlink" href="#data-structures" title="Permalin
 <code class="docutils literal notranslate"><span class="pre">DataArray</span></code> class attaches dimension names, coordinates and attributes to
 multi-dimensional arrays while <code class="docutils literal notranslate"><span class="pre">Dataset</span></code> combines multiple arrays.</p>
 <p>Both classes are most commonly created by reading data.
-To learn how to create a DataArray or Dataset manually, see the <strong>Working with labeled data</strong> tutorial.</p>
+To learn how to create a DataArray or Dataset manually, see the <a class="reference internal" href="01.1_creating_data_structures.html"><span class="doc std std-doc">Creating Data Structures</span></a> tutorial.</p>
 <p>Xarray has a few small real-world tutorial datasets hosted in this GitHub repository <a class="github reference external" href="https://github.com/pydata/xarray-data">pydata/xarray-data</a>.
 We’ll use the <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.tutorial.open_dataset.html#xarray.tutorial.open_dataset">xarray.tutorial.load_dataset</a> convenience function to download and open the <code class="docutils literal notranslate"><span class="pre">air_temperature</span></code> (National Centers for Environmental Prediction) Dataset by name.</p>
 <div class="cell docutils container">

diff --git a/intermediate/xarray_ecosystem.html b/intermediate/xarray_ecosystem.html