Merge pull request #629 from scipp/fix-links

Fix linkcheck errors

Author: jl-wynen

docs/conf.py

@@ -291,10 +291,10 @@ def do_not_plot(*args, **kwargs):
     r'https?://github\.com/[^/]+/[^/]+\#',
     # Many links for PRs from our release notes. Slow and unlikely to cause issues.
     'https://github.com/scipp/scipp/pull/[0-9]+',
-    # This returns '403 Forbidden' but the link works in a browser.
-    'https://opensource.org/licenses/BSD-3-Clause',
-    # We get 403 Forbidden for this for some reason; works in a browser, though.
-    'https://support.orcid.org/hc/en-us/articles/360006897674-Structure-of-the-ORCID-Identifier',
+    # These return '403 Forbidden':
+    r'https://opensource\.org/licenses/BSD-3-Clause',
+    r'https://support\.orcid\.org/hc/en-us/articles/360006897674-Structure-of-the-ORCID-Identifier',
+    r'https://www\.iucr\.org',
     # Linkcheck seems to be denied access by some DOI resolvers.
     # Since DOIs are supposed to be permanent, we don't need to check them.'
     r'https://doi\.org/',

docs/tutorials/1_exploring-data.ipynb

@@ -517,7 +517,7 @@
     "- Inspect and understand the HTML view of the result.\n",
     "- Plot the result.\n",
     "  There are two options:\n",
-    "  - Use [Plopp's `slicer` utility](https://scipp.github.io/plopp/user-guide/plot-types/slicer-plot.html) to navigate the different layers using a slider (requires `%matplotlib widget` to enable interactive figures)\n",
+    "  - Use [Plopp's `slicer` utility](https://scipp.github.io/plopp/plotting/slicer-plot.html) to navigate the different layers using a slider (requires `%matplotlib widget` to enable interactive figures)\n",
     "  - Use `sc.plot` after collapsing dimensions, `sc.collapse(grouped, keep='tof')`\n",
     "- Bonus: When grouping by straw layers, there is a different number of straws in the center layer of each tube (3 instead of 2) due to the flower-pattern arrangement of straws.\n",
     "  Define a helper data array with data set to 1 for each spectrum (using, e.g., `norm = sc.DataArray(data=sc.ones_like(layer), coords={'layer':layer})`), group by layers and sum over spectrum as above, and use this result to normalize the layer-grouped data from above to spectrum count.\n",