diff --git a/docs/userguide/extensions/index.html b/docs/userguide/extensions/index.html
deleted file mode 100644
index 46077af3..00000000
--- a/docs/userguide/extensions/index.html
+++ /dev/null
@@ -1,17 +0,0 @@
-Extensions
-==========
-
-Beyond the scope of the sub-packages, there are many utilities and extensions, that are very helpful, but are not part 
-of the sub-package implementations. This section outlines them.
-
-.. note::
-
-    This section is under construction!
-
-
-.. toctree::
-    :titlesonly:
-    :glob:
-
-    identifiers.ipynb
-    visualization.ipynb
\ No newline at end of file
diff --git a/docs/userguide/misc/Extensions.ipynb b/docs/userguide/misc/Extensions.ipynb
index 2e2589c6..c478e859 100644
--- a/docs/userguide/misc/Extensions.ipynb
+++ b/docs/userguide/misc/Extensions.ipynb
@@ -445,13 +445,13 @@
        "  * y        (y) int32 2 3\n",
        "  * x        (x) int32 1 2 3\n",
        "Data variables:\n",
-       "    xvel     (y, x) float64 0.8543 0.01522 0.2549 0.2659 0.8003 0.8842\n",
-       "    yvel     (y, x) float64 0.358 0.5822 0.5852 0.6226 0.8177 0.03828\n",
+       "    xvel     (y, x) float64 0.842 0.7745 0.5654 0.3707 0.5854 0.5751\n",
+       "    yvel     (y, x) float64 0.904 0.9084 0.4555 0.5522 0.2687 0.0386\n",
        "Attributes:\n",
        "    long_name:  x vel\n",
-       "    units:      m/s</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f15b8b15-17f6-4ffe-aab4-35d13a33dc8d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f15b8b15-17f6-4ffe-aab4-35d13a33dc8d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 2</li><li><span class='xr-has-index'>x</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-49c2aef3-67b9-422a-91e8-f6eb4a0565a7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-49c2aef3-67b9-422a-91e8-f6eb4a0565a7' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>2 3</div><input id='attrs-a401e481-707d-4716-9d98-af42232df80d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a401e481-707d-4716-9d98-af42232df80d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4c10160-ebda-4737-9e9a-5697ff33cec4' class='xr-var-data-in' type='checkbox'><label for='data-b4c10160-ebda-4737-9e9a-5697ff33cec4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-a63dff56-008c-4dd1-9008-fe6cbf63d898' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a63dff56-008c-4dd1-9008-fe6cbf63d898' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c6e0271-5327-40af-b77c-0e6e7ec6b231' class='xr-var-data-in' type='checkbox'><label for='data-1c6e0271-5327-40af-b77c-0e6e7ec6b231' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-85fd4631-673c-46d4-ab01-5e7531713918' class='xr-section-summary-in' type='checkbox'  checked><label for='section-85fd4631-673c-46d4-ab01-5e7531713918' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>xvel</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8543 0.01522 ... 0.8003 0.8842</div><input id='attrs-03648a77-ee1d-45e9-abde-e3a7718cadaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03648a77-ee1d-45e9-abde-e3a7718cadaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c07bfdaf-b84f-4b0e-a92e-ba0c30b6227d' class='xr-var-data-in' type='checkbox'><label for='data-c07bfdaf-b84f-4b0e-a92e-ba0c30b6227d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x vel</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>array([[0.85434005, 0.01522321, 0.2548752 ],\n",
-       "       [0.26592346, 0.80026032, 0.8841525 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yvel</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.358 0.5822 ... 0.8177 0.03828</div><input id='attrs-81db7b14-29e5-4245-b9cb-fe2a06a6be11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81db7b14-29e5-4245-b9cb-fe2a06a6be11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6db79f18-84c8-4921-ac11-840fc0479893' class='xr-var-data-in' type='checkbox'><label for='data-6db79f18-84c8-4921-ac11-840fc0479893' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>array([[0.35798842, 0.58223557, 0.58521219],\n",
-       "       [0.6225853 , 0.81766265, 0.03827686]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8df2b1b9-7f51-4089-b1a1-f4c60c9a04c9' class='xr-section-summary-in' type='checkbox'  ><label for='section-8df2b1b9-7f51-4089-b1a1-f4c60c9a04c9' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c2a534ae-07d1-4242-983f-1b7216cc33f2' class='xr-index-data-in' type='checkbox'/><label for='index-c2a534ae-07d1-4242-983f-1b7216cc33f2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([2, 3], dtype=&#x27;int32&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e257c6b8-9815-4630-b89c-b2f9a4f5fa22' class='xr-index-data-in' type='checkbox'/><label for='index-e257c6b8-9815-4630-b89c-b2f9a4f5fa22' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3], dtype=&#x27;int32&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c8dd992d-ce3b-4e59-81b3-d0d58f2cd3f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c8dd992d-ce3b-4e59-81b3-d0d58f2cd3f2' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x vel</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div></li></ul></div></div>"
+       "    units:      m/s</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3beb8de2-2854-4a9b-b817-1a6c1199d7bc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3beb8de2-2854-4a9b-b817-1a6c1199d7bc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 2</li><li><span class='xr-has-index'>x</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c81bb01d-4b97-43eb-8580-e5339834d852' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c81bb01d-4b97-43eb-8580-e5339834d852' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>2 3</div><input id='attrs-46b09b8a-0116-4fe6-bd41-564ea6886101' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46b09b8a-0116-4fe6-bd41-564ea6886101' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70f1315a-30de-4b03-9769-36a51910ae58' class='xr-var-data-in' type='checkbox'><label for='data-70f1315a-30de-4b03-9769-36a51910ae58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3</div><input id='attrs-ea632cd7-88aa-4edc-bad8-9df9fcc3f4c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea632cd7-88aa-4edc-bad8-9df9fcc3f4c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b038d369-bf3f-496e-916f-a881fe9bfbca' class='xr-var-data-in' type='checkbox'><label for='data-b038d369-bf3f-496e-916f-a881fe9bfbca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f1d5b2c-7d92-4ee2-a9f4-e37b75531678' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7f1d5b2c-7d92-4ee2-a9f4-e37b75531678' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>xvel</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.842 0.7745 ... 0.5854 0.5751</div><input id='attrs-49515c3c-22c6-42b8-806b-80d3e75716f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49515c3c-22c6-42b8-806b-80d3e75716f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca3370c3-04b6-44bc-98cf-f9fa01e357bb' class='xr-var-data-in' type='checkbox'><label for='data-ca3370c3-04b6-44bc-98cf-f9fa01e357bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x vel</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>array([[0.84196634, 0.77451326, 0.56544457],\n",
+       "       [0.37066316, 0.58540776, 0.57506951]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yvel</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.904 0.9084 ... 0.2687 0.0386</div><input id='attrs-b5f1dd1b-76b5-4673-845d-f1ed5a97955d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5f1dd1b-76b5-4673-845d-f1ed5a97955d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3976e314-555e-4085-8b28-4ecba0c1fe05' class='xr-var-data-in' type='checkbox'><label for='data-3976e314-555e-4085-8b28-4ecba0c1fe05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>array([[0.90404063, 0.90843006, 0.45548196],\n",
+       "       [0.55215745, 0.2687463 , 0.03860232]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d31457fa-57c8-4cfc-815d-411257d7d365' class='xr-section-summary-in' type='checkbox'  ><label for='section-d31457fa-57c8-4cfc-815d-411257d7d365' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f62cc4f3-a2c4-40ca-85f1-a483c7bc7da0' class='xr-index-data-in' type='checkbox'/><label for='index-f62cc4f3-a2c4-40ca-85f1-a483c7bc7da0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([2, 3], dtype=&#x27;int32&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-197bc467-3853-4c04-991b-6aba967fa2b3' class='xr-index-data-in' type='checkbox'/><label for='index-197bc467-3853-4c04-991b-6aba967fa2b3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3], dtype=&#x27;int32&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-201acae8-b817-41da-997a-2a122b392e58' class='xr-section-summary-in' type='checkbox'  checked><label for='section-201acae8-b817-41da-997a-2a122b392e58' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x vel</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -460,8 +460,8 @@
        "  * y        (y) int32 2 3\n",
        "  * x        (x) int32 1 2 3\n",
        "Data variables:\n",
-       "    xvel     (y, x) float64 0.8543 0.01522 0.2549 0.2659 0.8003 0.8842\n",
-       "    yvel     (y, x) float64 0.358 0.5822 0.5852 0.6226 0.8177 0.03828\n",
+       "    xvel     (y, x) float64 0.842 0.7745 0.5654 0.3707 0.5854 0.5751\n",
+       "    yvel     (y, x) float64 0.904 0.9084 0.4555 0.5522 0.2687 0.0386\n",
        "Attributes:\n",
        "    long_name:  x vel\n",
        "    units:      m/s"
@@ -531,7 +531,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x2ac5e624df0>"
+       "<matplotlib.collections.QuadMesh at 0x1e3c3d71cd0>"
       ]
      },
      "execution_count": 6,
@@ -540,7 +540,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -960,7 +960,7 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;x/x_ref/phi&#x27; ()&gt;\n",
        "0.3333\n",
        "Attributes:\n",
-       "    units:    </pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'x/x_ref/phi'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-673e5903-d2d5-4e2a-a88f-e31e3f656ac8' class='xr-array-in' type='checkbox' ><label for='section-673e5903-d2d5-4e2a-a88f-e31e3f656ac8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.3333</span></div><div class='xr-array-data'><pre>array(0.33333333)</pre></div></div></li><li class='xr-section-item'><input id='section-29b0a29f-bc6f-4784-af66-5bc9946b0f41' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-29b0a29f-bc6f-4784-af66-5bc9946b0f41' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0f79380f-6f94-4edd-9bb8-780e8a1fdc85' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0f79380f-6f94-4edd-9bb8-780e8a1fdc85' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5276e4d6-4b50-4876-b3dd-b9fd59320fac' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5276e4d6-4b50-4876-b3dd-b9fd59320fac' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div></li></ul></div></div>"
+       "    units:    </pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'x/x_ref/phi'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-eb76bef1-2d1a-4cac-9cd8-1f8b91a029be' class='xr-array-in' type='checkbox' ><label for='section-eb76bef1-2d1a-4cac-9cd8-1f8b91a029be' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.3333</span></div><div class='xr-array-data'><pre>array(0.33333333)</pre></div></div></li><li class='xr-section-item'><input id='section-432d3915-8252-4d33-ad04-2ca6e559259d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-432d3915-8252-4d33-ad04-2ca6e559259d' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-15f0eca4-7582-4f70-9794-174f4a6075e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-15f0eca4-7582-4f70-9794-174f4a6075e4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4dc0654d-047f-49f2-9923-4fb94d408194' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4dc0654d-047f-49f2-9923-4fb94d408194' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd></dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'x/x_ref/phi' ()>\n",
@@ -1378,16 +1378,16 @@
        "  fill: currentColor;\n",
        "}\n",
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;uu&#x27; (epsilon: 3)&gt;\n",
-       "0.01282 0.3356 0.1594\n",
+       "0.4961 0.08902 0.3291\n",
        "Coordinates:\n",
        "    y        int32 1\n",
        "  * epsilon  (epsilon) float64 0.1667 0.3333 0.5\n",
        "Attributes:\n",
-       "    units:    s/m</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'uu'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>epsilon</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f05dc74d-23e8-4a82-a973-e12791574ffd' class='xr-array-in' type='checkbox' ><label for='section-f05dc74d-23e8-4a82-a973-e12791574ffd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.01282 0.3356 0.1594</span></div><div class='xr-array-data'><pre>array([0.01281838, 0.33561541, 0.1593732 ])</pre></div></div></li><li class='xr-section-item'><input id='section-ea636664-8e18-48ea-9f14-53fbf4b80430' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ea636664-8e18-48ea-9f14-53fbf4b80430' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-a425dda4-fe25-4d32-9fe4-15cd6d4f9bd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a425dda4-fe25-4d32-9fe4-15cd6d4f9bd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be4d93ed-dc30-4ece-b092-7133ab49cff2' class='xr-var-data-in' type='checkbox'><label for='data-be4d93ed-dc30-4ece-b092-7133ab49cff2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(1)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>epsilon</span></div><div class='xr-var-dims'>(epsilon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1667 0.3333 0.5</div><input id='attrs-f95af35c-1e81-4e96-a844-1a76ef4f72f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f95af35c-1e81-4e96-a844-1a76ef4f72f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb1669a4-961b-4de2-9c38-6f5d82334f81' class='xr-var-data-in' type='checkbox'><label for='data-eb1669a4-961b-4de2-9c38-6f5d82334f81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1/m</dd></dl></div><div class='xr-var-data'><pre>array([0.166667, 0.333333, 0.5     ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d791caa5-c8e3-4dff-ad70-2385cd767849' class='xr-section-summary-in' type='checkbox'  ><label for='section-d791caa5-c8e3-4dff-ad70-2385cd767849' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>epsilon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4580736e-d548-416a-81c2-a5855502888a' class='xr-index-data-in' type='checkbox'/><label for='index-4580736e-d548-416a-81c2-a5855502888a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.16666666666666666, 0.3333333333333333, 0.5], dtype=&#x27;float64&#x27;, name=&#x27;epsilon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-83987c62-404f-4e82-91c2-3ce8e01fb832' class='xr-section-summary-in' type='checkbox'  checked><label for='section-83987c62-404f-4e82-91c2-3ce8e01fb832' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s/m</dd></dl></div></li></ul></div></div>"
+       "    units:    s/m</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'uu'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>epsilon</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-41369b42-fff3-4f30-8143-06443556a19a' class='xr-array-in' type='checkbox' ><label for='section-41369b42-fff3-4f30-8143-06443556a19a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.4961 0.08902 0.3291</span></div><div class='xr-array-data'><pre>array([0.49607756, 0.08901571, 0.32906417])</pre></div></div></li><li class='xr-section-item'><input id='section-f89b6423-4dfe-4199-89c7-12155af4050b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f89b6423-4dfe-4199-89c7-12155af4050b' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-41e3df2b-ad49-4294-8568-6af76d19f197' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41e3df2b-ad49-4294-8568-6af76d19f197' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cce30664-4da3-4028-9a0c-be58d53cef24' class='xr-var-data-in' type='checkbox'><label for='data-cce30664-4da3-4028-9a0c-be58d53cef24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(1)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>epsilon</span></div><div class='xr-var-dims'>(epsilon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1667 0.3333 0.5</div><input id='attrs-eb4a093d-a96b-4747-aedc-12056f674680' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb4a093d-a96b-4747-aedc-12056f674680' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14270b25-bcb8-4bc9-9907-193b3ea11d5c' class='xr-var-data-in' type='checkbox'><label for='data-14270b25-bcb8-4bc9-9907-193b3ea11d5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1/m</dd></dl></div><div class='xr-var-data'><pre>array([0.166667, 0.333333, 0.5     ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-24118e7d-a171-4017-af2b-ee37f8dcd470' class='xr-section-summary-in' type='checkbox'  ><label for='section-24118e7d-a171-4017-af2b-ee37f8dcd470' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>epsilon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-be55e009-ac7f-4404-835c-df3d3bc6ab56' class='xr-index-data-in' type='checkbox'/><label for='index-be55e009-ac7f-4404-835c-df3d3bc6ab56' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.16666666666666666, 0.3333333333333333, 0.5], dtype=&#x27;float64&#x27;, name=&#x27;epsilon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-55ecc5db-f022-45d8-8d04-3794d673abdf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-55ecc5db-f022-45d8-8d04-3794d673abdf' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s/m</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'uu' (epsilon: 3)>\n",
-       "0.01282 0.3356 0.1594\n",
+       "0.4961 0.08902 0.3291\n",
        "Coordinates:\n",
        "    y        int32 1\n",
        "  * epsilon  (epsilon) float64 0.1667 0.3333 0.5\n",
@@ -1413,7 +1413,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x2ac5e6b2dc0>]"
+       "[<matplotlib.lines.Line2D at 0x1e3c3e36670>]"
       ]
      },
      "execution_count": 11,
@@ -1422,7 +1422,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1835,7 +1835,7 @@
        "Coordinates:\n",
        "  * x        (x) float64 -4.5e+03\n",
        "Attributes:\n",
-       "    units:    mm/s</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'u'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c09f9396-78d8-4c56-bcf7-f16d625eadf0' class='xr-array-in' type='checkbox' ><label for='section-c09f9396-78d8-4c56-bcf7-f16d625eadf0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-4.5e+03</span></div><div class='xr-array-data'><pre>array([-4500.])</pre></div></div></li><li class='xr-section-item'><input id='section-42be96a5-b882-4be9-adde-2a1814be18b0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-42be96a5-b882-4be9-adde-2a1814be18b0' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.5e+03</div><input id='attrs-a1e40a0a-1b1c-495b-80ee-0180826eb9d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1e40a0a-1b1c-495b-80ee-0180826eb9d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfebbe15-5336-4452-8d77-1d049cca6fad' class='xr-var-data-in' type='checkbox'><label for='data-dfebbe15-5336-4452-8d77-1d049cca6fad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([-4500.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6addf196-0e60-4f96-a6e9-baf8b4a4d715' class='xr-section-summary-in' type='checkbox'  ><label for='section-6addf196-0e60-4f96-a6e9-baf8b4a4d715' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-488b7cdb-6bea-40b9-a653-16361d0936b3' class='xr-index-data-in' type='checkbox'/><label for='index-488b7cdb-6bea-40b9-a653-16361d0936b3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-4500.0], dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0aeb698a-1085-4424-8c51-ef179ad567d4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0aeb698a-1085-4424-8c51-ef179ad567d4' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/s</dd></dl></div></li></ul></div></div>"
+       "    units:    mm/s</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'u'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-09373053-b337-4f78-8806-4ee43dab9a39' class='xr-array-in' type='checkbox' ><label for='section-09373053-b337-4f78-8806-4ee43dab9a39' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-4.5e+03</span></div><div class='xr-array-data'><pre>array([-4500.])</pre></div></div></li><li class='xr-section-item'><input id='section-6b103190-d1c5-4c2e-9cea-f984c2de158b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6b103190-d1c5-4c2e-9cea-f984c2de158b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.5e+03</div><input id='attrs-22989ca5-1911-40ab-af2e-28d09ac121c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22989ca5-1911-40ab-af2e-28d09ac121c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88eb8e8a-670c-4030-85a1-69fe1a739fee' class='xr-var-data-in' type='checkbox'><label for='data-88eb8e8a-670c-4030-85a1-69fe1a739fee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm</dd></dl></div><div class='xr-var-data'><pre>array([-4500.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77156855-b361-4bc4-afb1-42cc1787cb32' class='xr-section-summary-in' type='checkbox'  ><label for='section-77156855-b361-4bc4-afb1-42cc1787cb32' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4c615dfd-192e-4006-af86-64f03c668f3b' class='xr-index-data-in' type='checkbox'/><label for='index-4c615dfd-192e-4006-af86-64f03c668f3b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-4500.0], dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b3e9dab8-0e4f-4e94-8aa4-09fa7e1de427' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b3e9dab8-0e4f-4e94-8aa4-09fa7e1de427' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>mm/s</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'u' (x: 1)>\n",
@@ -1861,6 +1861,292 @@
     "u_mm"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "17ff27c3-3ffd-48fb-90f8-4df6ad49231b",
+   "metadata": {},
+   "source": [
+    "## 5. Ontology accessory (under development)\n",
+    "\n",
+    "The idea of the `onto` accessory is to quickly enrich a group with FAIR metadata, e.g. by adding a person to an HDF5 file:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "ba32eeff-b2bf-4ace-9246-4de59268624d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from h5rdmtoolbox.extensions import onto"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "59f87182-795d-4a50-a308-2aa736d2e571",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<head><style>/*\r\n",
+       "CSS inspired by xarray: https://github.com/pydata/xarray\r\n",
+       "*/\r\n",
+       ".h5tb-header > div,\r\n",
+       ".h5tb-header > ul {\r\n",
+       "    display: inline;\r\n",
+       "    margin-top: 0;\r\n",
+       "    margin-bottom: 0;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-dataarray-cls,\r\n",
+       ".h5tb-dataarray-name {\r\n",
+       "    margin-left: 2px;\r\n",
+       "    margin-right: 10px;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-dataarray-name {\r\n",
+       "    color: #000;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5grp-sections {\r\n",
+       "    list-style: none;\r\n",
+       "    padding: 3px;\r\n",
+       "    margin: 0;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5grp-sections input {\r\n",
+       "    display: none;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5grp-sections label {\r\n",
+       "    display: inline;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5grp-sections > li > input + label > span {\r\n",
+       "    display: inline;\r\n",
+       "    margin-left: 4px;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5grp-sections > li > input:checked + label > span {\r\n",
+       "    display: none;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5grp-sections input:enabled + label {\r\n",
+       "    cursor: pointer;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5grp-sections input:not(.h5tb-values-in) ~ ul {\r\n",
+       "    display: none;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5grp-sections input:not(.h5tb-values-in):checked ~ ul {\r\n",
+       "    display: block;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5grp-sections > li > input + label {\r\n",
+       "    width: 140px;\r\n",
+       "    color: #555;\r\n",
+       "    font-weight: 500;\r\n",
+       "    padding: 4px 0 2px 0;\r\n",
+       "}\r\n",
+       "\r\n",
+       "\r\n",
+       ".h5grp-sections > li > input + label:before {\r\n",
+       "    display: inline-block;\r\n",
+       "    content: '+';\r\n",
+       "    font-size: 11px;\r\n",
+       "    width: 15px;\r\n",
+       "    text-align: center;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5grp-sections > li > input:disabled + label:before {\r\n",
+       "    color: #777;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5grp-sections > li > input:checked + label:before {\r\n",
+       "    content: '-';\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-dim-list {\r\n",
+       "    display: inline-block !important;\r\n",
+       "    list-style: none;\r\n",
+       "    padding: 0;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-dim-list li {\r\n",
+       "    display: inline-block;\r\n",
+       "    padding: 0;\r\n",
+       "    margin: 0;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-dim-list:before {\r\n",
+       "    content: '(';\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-dim-list:after {\r\n",
+       "    content: ')';\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-dim-list li:not(:last-child):after {\r\n",
+       "    content: ',';\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-has-index {\r\n",
+       "    text-decoration: underline;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-var-list {\r\n",
+       "    list-style: none;\r\n",
+       "    padding: 0;\r\n",
+       "    margin: 0;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-var-list > li {\r\n",
+       "    background-color: #fcfcfc;\r\n",
+       "    overflow: hidden;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-var-list > li:nth-child(odd) {\r\n",
+       "    background-color: #efefef;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-var-list li:hover {\r\n",
+       "    background-color: rgba(3, 169, 244, .2);\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-var-list li > span {\r\n",
+       "    display: inline-block;\r\n",
+       "}\r\n",
+       "\r\n",
+       "input.h5tb-varname-in + label {\r\n",
+       "    width: 140px;\r\n",
+       "    padding-left: 0;\r\n",
+       "    font-weight: bold;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-dataset {\r\n",
+       "    width: 100px;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-attributevalue {\r\n",
+       "    width: 100px;\r\n",
+       "    text-align: left;\r\n",
+       "    color: #888;\r\n",
+       "    white-space: nowrap;\r\n",
+       "    font-size: 12px;\r\n",
+       "}\r\n",
+       "\r\n",
+       "input.h5tb-varname-in + label:before {\r\n",
+       "    content: ' ';\r\n",
+       "    display: inline-block;\r\n",
+       "    font-size: 11px;\r\n",
+       "    width: 15px;\r\n",
+       "    padding-left: 2px;\r\n",
+       "    padding-right: 2px;\r\n",
+       "    text-align: center;\r\n",
+       "    color: #aaa;\r\n",
+       "    text-decoration: none !important;\r\n",
+       "}\r\n",
+       "\r\n",
+       "input.h5tb-varname-in:enabled + label:hover:before {\r\n",
+       "    color: #000;\r\n",
+       "}\r\n",
+       "\r\n",
+       "input.h5tb-varname-in:checked + label:before {\r\n",
+       "    color: #ccc;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-dims {\r\n",
+       "    width: 280px;\r\n",
+       "    white-space: nowrap;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-attr-list {\r\n",
+       "    list-style: none;\r\n",
+       "    background-color: rgba(0,0,0,.0);\r\n",
+       "    padding-bottom: 6px;\r\n",
+       "    color: #6a6c73;\r\n",
+       "}\r\n",
+       "\r\n",
+       ".h5tb-attr-list li,\r\n",
+       ".h5tb-attr-list li:hover {\r\n",
+       "    background-color: rgba(0,0,0,.0);\r\n",
+       "}\r\n",
+       "\r\n",
+       "\r\n",
+       "/* Tooltip container */\r\n",
+       ".tooltip {\r\n",
+       "position: relative;\r\n",
+       "display: inline-block;\r\n",
+       "cursor: pointer;\r\n",
+       "}\r\n",
+       "\r\n",
+       "/* Tooltip text */\r\n",
+       ".tooltip .tooltiptext {\r\n",
+       "visibility: hidden;\r\n",
+       "width: 300px;\r\n",
+       "background-color: #555;\r\n",
+       "color: #fff;\r\n",
+       "text-align: center;\r\n",
+       "border-radius: 6px;\r\n",
+       "padding: 5px;\r\n",
+       "position: absolute;\r\n",
+       "z-index: 1;\r\n",
+       "bottom: 125%;\r\n",
+       "left: 50%;\r\n",
+       "margin-left: -60px;\r\n",
+       "opacity: 0;\r\n",
+       "transition: opacity 0.3s;\r\n",
+       "}\r\n",
+       "\r\n",
+       "/* Show the tooltip on hover */\r\n",
+       ".tooltip:hover .tooltiptext {\r\n",
+       "visibility: visible;\r\n",
+       "opacity:  1;\r\n",
+       "}</style></head>\n",
+       "<div class='h5tb-warp'>\n",
+       "\n",
+       "              <ul style=\"list-style-type: none;\" class=\"h5grp-sections\">\n",
+       "                    <li>\n",
+       "                        <input id=\"group-ds--18234236200\" type=\"checkbox\" checked>\n",
+       "                        <label style=\"font-weight: bold\" for=\"group-ds--18234236200\">\n",
+       "                        /<span>(1)</span></label>\n",
+       "                  \n",
+       "<ul class=\"h5tb-attr-list\">\n",
+       "                    </ul>\n",
+       "\n",
+       "              <ul style=\"list-style-type: none;\" class=\"h5grp-sections\">\n",
+       "                    <li>\n",
+       "                        <input id=\"group-ds-John_Doe-18235145400\" type=\"checkbox\" >\n",
+       "                        <label style=\"font-weight: bold\" for=\"group-ds-John_Doe-18235145400\">\n",
+       "                        John_Doe<a href=\"https://www.w3.org/ns/prov/Person\" target=\"_blank\" class=\"tooltip\"> <img class=\"size_of_img\" src=\"https://github.com/matthiasprobst/h5RDMtoolbox/blob/dev/h5rdmtoolbox/data/type_icon.png?raw=true\" alt=\"IRI_ICON\" width=\"16\" height=\"16\" /> <span class=\"tooltiptext\">@type: https://www.w3.org/ns/prov/Person</span></a><a href=\"https://orcid.org/0000-0000-0000-0000\" target=\"_blank\" class=\"tooltip\"> <img class=\"size_of_img\" src=\"https://github.com/matthiasprobst/h5RDMtoolbox/blob/dev/h5rdmtoolbox/data/id_icon.png?raw=true\" alt=\"IRI_ICON\" width=\"16\" height=\"16\" /> <span class=\"tooltiptext\">@id: https://orcid.org/0000-0000-0000-0000</span></a><span>(0)</span></label>\n",
+       "                  \n",
+       "<ul class=\"h5tb-attr-list\"><li style=\"list-style-type: none; font-style: italic\">first_name<a href=\"http://xmlns.com/foaf/0.1/firstName\" target=\"_blank\" class=\"tooltip\"> <img class=\"size_of_img\" src=\"https://github.com/matthiasprobst/h5RDMtoolbox/blob/dev/h5rdmtoolbox/data/iri_icon.png?raw=true\" alt=\"IRI_ICON\" width=\"16\" height=\"16\" /> <span class=\"tooltiptext\">http://xmlns.com/foaf/0.1/firstName</span></a>: John</li><li style=\"list-style-type: none; font-style: italic\">last_name<a href=\"http://xmlns.com/foaf/0.1/lastName\" target=\"_blank\" class=\"tooltip\"> <img class=\"size_of_img\" src=\"https://github.com/matthiasprobst/h5RDMtoolbox/blob/dev/h5rdmtoolbox/data/iri_icon.png?raw=true\" alt=\"IRI_ICON\" width=\"16\" height=\"16\" /> <span class=\"tooltiptext\">http://xmlns.com/foaf/0.1/lastName</span></a>: Doe</li><li style=\"list-style-type: none; font-style: italic\">orcid_id<a href=\"http://w3id.org/nfdi4ing/metadata4ing#orcidId\" target=\"_blank\" class=\"tooltip\"> <img class=\"size_of_img\" src=\"https://github.com/matthiasprobst/h5RDMtoolbox/blob/dev/h5rdmtoolbox/data/iri_icon.png?raw=true\" alt=\"IRI_ICON\" width=\"16\" height=\"16\" /> <span class=\"tooltiptext\">http://w3id.org/nfdi4ing/metadata4ing#orcidId</span></a>: <a href=\"https://orcid.org/0000-0000-0000-0000\"><img alt=\"ORCID logo\" src=\"https://info.orcid.org/wp-content/uploads/2019/11/orcid_16x16.png\" width=\"16\" height=\"16\" />https://orcid.org/0000-0000-0000-0000</a></li>\n",
+       "                    </ul>\n",
+       "</li>\n",
+       "</ul>\n",
+       "</li>\n",
+       "</ul>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "with h5tbx.File() as h5:\n",
+    "    g = h5.onto.create_person(orcid_id='https://orcid.org/0000-0000-0000-0000',\n",
+    "                          first_name='John',\n",
+    "                          last_name='Doe')\n",
+    "    h5.dump()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "b7730172-11e8-47f0-93b1-9bc47aa0e1dd",
@@ -1873,7 +2159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "id": "41f5c2c1-7de5-4e1c-b44e-4d350328f7ef",
    "metadata": {},
    "outputs": [],
@@ -1899,7 +2185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 17,
    "id": "2af29af0-aa80-4887-bd6f-8c93d719f2e8",
    "metadata": {},
    "outputs": [
@@ -1945,7 +2231,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.19"
+   "version": "3.8.18"
   }
  },
  "nbformat": 4,
diff --git a/h5rdmtoolbox/convention/standard_attributes.py b/h5rdmtoolbox/convention/standard_attributes.py
index a37c00bd..30eff946 100644
--- a/h5rdmtoolbox/convention/standard_attributes.py
+++ b/h5rdmtoolbox/convention/standard_attributes.py
@@ -33,7 +33,7 @@ class StandardAttribute:
     validator: Union[pydantic.BaseModel, typing_extensions._AnnotatedAlias]
         The validator for the attribute. If the validator takes a parameter, pass it as dict.
         Examples for no-parameter validator: "$pintunits", "$standard_name", "$orcid", "$url"
-        Examples for validator with parameter: {"$regex": "^[a-z0-9_]*$"}, {"$in": ["a", "b", "c"]}
+        Examples for validator with parameter: {"$regex": r"^[a-z0-9_]*$"}, {"$in": ["a", "b", "c"]}
     description: str
         The description of the attribute
     target_method: str
@@ -352,6 +352,6 @@ def validate(self, value, parent=None, attrs=None) -> bool:
         try:
             _validated_value = self.validator.model_validate({key0: value},
                                                              context={'parent': parent, 'attrs': attrs})
-        except pydantic.ValidationError as err:
+        except pydantic.ValidationError as _:
             return False
         return True
diff --git a/h5rdmtoolbox/wrapper/rdf.py b/h5rdmtoolbox/wrapper/rdf.py
index 9b808ba7..d20a9278 100644
--- a/h5rdmtoolbox/wrapper/rdf.py
+++ b/h5rdmtoolbox/wrapper/rdf.py
@@ -474,7 +474,7 @@ def object(self):
 
     @property
     def subject(self) -> Optional[str]:
-        """Return the RDF subject, which is the @ID in JSON-LD syntax"""
+        """Return the RDF subject (a URL), which is equivalent to the @ID in JSON-LD syntax"""
         if RDF_SUBJECT_ATTR_NAME not in self._attr:
             return
         return self._attr[RDF_SUBJECT_ATTR_NAME]
@@ -487,11 +487,14 @@ def subject(self):
     @subject.setter
     def subject(self, jsonld_id: Union[str, HttpUrl]):
         """Set the RDF subject, which is the @ID in JSON-LD syntax.
+        Hence a valdi URL is required. This is validated by pydantic!
 
         Raises
         ------
         TypeError
             If the subject is not a string or URL
+        RDFError
+            If the URL is invalid
         """
         if not isinstance(jsonld_id, str):
             raise TypeError(f'Expecting a string or URL. Got {type(jsonld_id)}. Note, that a subject '