diff --git a/_sources/ecv-notebooks/srb-climatology-and-anomaly.ipynb b/_sources/ecv-notebooks/srb-climatology-and-anomaly.ipynb
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--- a/_sources/ecv-notebooks/srb-climatology-and-anomaly.ipynb
+++ b/_sources/ecv-notebooks/srb-climatology-and-anomaly.ipynb
@@ -1885,7 +1885,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Use Case #1 aims to give an overview about the SIS radiation distribution. We do that by plotting the global mean SIS from the CLARA-A3 dataset. Please note that you need to open the dataset to be able to execute this usecase, as described in the previous section [\"Load dataset\"](#load)."
+    "Use Case #1 aims to give an overview about the SIS radiation distribution. We do that by plotting the global mean SIS from the CLARA-A3 dataset. Please note that you need to open the dataset to be able to execute this usecase, as described in the previous section."
    ]
   },
   {
diff --git a/ecv-notebooks/srb-climatology-and-anomaly.html b/ecv-notebooks/srb-climatology-and-anomaly.html
index a986626..3c5a07e 100644
--- a/ecv-notebooks/srb-climatology-and-anomaly.html
+++ b/ecv-notebooks/srb-climatology-and-anomaly.html
@@ -2167,7 +2167,7 @@ <h3>Load dataset<a class="headerlink" href="#load-dataset" title="Link to this h
 </section>
 <section id="use-case-1-the-mean-global-surface-incoming-shortwave-sis-radiation-distribution">
 <h2>Use case 1: The mean global Surface Incoming Shortwave (SIS) radiation distribution<a class="headerlink" href="#use-case-1-the-mean-global-surface-incoming-shortwave-sis-radiation-distribution" title="Link to this heading">#</a></h2>
-<p>Use Case #1 aims to give an overview about the SIS radiation distribution. We do that by plotting the global mean SIS from the CLARA-A3 dataset. Please note that you need to open the dataset to be able to execute this usecase, as described in the previous section <a class="reference internal" href="#load"><span class="xref myst">“Load dataset”</span></a>.</p>
+<p>Use Case #1 aims to give an overview about the SIS radiation distribution. We do that by plotting the global mean SIS from the CLARA-A3 dataset. Please note that you need to open the dataset to be able to execute this usecase, as described in the previous section.</p>
 <section id="calculation-of-the-temporal-average-of-sis">
 <h3>Calculation of the temporal average of SIS<a class="headerlink" href="#calculation-of-the-temporal-average-of-sis" title="Link to this heading">#</a></h3>
 <p>We calculate the temporal average with the function np.nanmean. np is common alias for numpy and a library for mathmatical working with arrays. nanmean averages the data and ignores nan’s. This operation is applied to “dataset_sis” and the variable Surface Incoming Radiation or “SIS”. axis=0 averages over the first axis, which is “time” in this case. This leads to a two-dimensional result with an average over time.</p>