Fix more links

NeurodataWithoutBorders · Jul 13, 2024 · 54c9d53 · 54c9d53
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diff --git a/docs/source/conf_extlinks.py b/docs/source/conf_extlinks.py
@@ -48,7 +48,7 @@
     'nwb-helpdesk': ('https://github.com/dandi/helpdesk/discussions/%s', '%s'),
     'nwb-mailing-list': ('https://mailchi.mp/fe2a9bc55a1a/nwb-signup/%s', '%s'),
     'datajoint': ('https://www.datajoint.com/%s', '%s'),
-    'datajoint-elements': ('https://www.datajoint.com/elements/%s', '%s'),
+    'datajoint-elements': ('https://datajoint.com/docs/elements/%s', '%s'),
     'openscope-databook': ('https://alleninstitute.github.io/openscope_databook/%s', '%s'),
     'openscope-project': ('https://alleninstitute.org/what-we-do/brain-science/research/mindscope-program/openscope/%s',
                           '%s'),

diff --git a/docs/source/tools/datajoint/datajoint.rst b/docs/source/tools/datajoint/datajoint.rst
@@ -5,6 +5,6 @@ DataJoint
 
 .. short_description_start
 
-:ref:`analysistools-datajoint` is an open-source project for defining and operating computational data pipelines—sequences of steps for data acquisition, processing, and transformation. Some `DataJoint Elements <https://datajoint.com/elements>`_ support automatic conversion to NWB :bdg-link-primary:`Export element_array_ephys to NWB <https://github.com/datajoint/element-array-ephys/blob/main/element_array_ephys/export/nwb/README.md>`
+:ref:`analysistools-datajoint` is an open-source project for defining and operating computational data pipelines—sequences of steps for data acquisition, processing, and transformation. Some :datajoint-elements:`DataJoint Elements <>` support automatic conversion to NWB :bdg-link-primary:`Export element_array_ephys to NWB <https://github.com/datajoint/element-array-ephys/blob/main/element_array_ephys/export/nwb/README.md>`
 
 .. short_description_end
diff --git a/docs/source/tools/extract/extract.rst b/docs/source/tools/extract/extract.rst
@@ -10,7 +10,7 @@ which *extracts* the activities of cells as time series from both one-photon and
 EXTRACT makes minimal assumptions about the data, which is the main reason behind its high robustness and superior
 performance.
 :bdg-link-primary:`Source <https://github.com/schnitzer-lab/EXTRACT-public>`
-:bdg-link-primary:`NWB tutorials <https://github.com/schnitzer-lab/EXTRACT-public/tree/master/Learning%20materials/NWB%20Tutorials>`
+:bdg-link-primary:`NWB demos <https://github.com/schnitzer-lab/EXTRACT-public/tree/master/Learning%20materials/Additional%20demos/NWB%20Demos>`
 :bdg-link-primary:`Publication <https://www.biorxiv.org/content/10.1101/2021.03.24.436279v2>`
 
 .. image:: https://img.shields.io/github/stars/schnitzer-lab/EXTRACT-public?style=social