🎨 SSOT ndmg refs

Author: shnizzedy

docs/_sources/conf.py

@@ -442,7 +442,7 @@ def _unireplace(release_note, unireplace):
 # The name of an image file (within the static path) to use as favicon of the
 # docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
 # pixels large.
-html_favicon = 'favicon.ico'
+html_favicon = '_static/favicon.ico'
 
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,

docs/_sources/references/preconfigs.bib

@@ -9,9 +9,9 @@ @article{Hoff21
   langid = {english}
 }
 
-@misc{Kiar18a,
+@article{Kiar18a,
   title = {A {{High-Throughput Pipeline Identifies Robust Connectomes But Troublesome Variability}}},
-  author = {Kiar, Gregory and Bridgeford, Eric W. and Roncal, William R. Gray and {\noopsort{reproducibility (corr)}}and Reproducibility (CoRR), Consortium for Reliability and Chandrashekhar, Vikram and Mhembere, Disa and Ryman, Sephira and Zuo, Xi-Nian and Margulies, Daniel S. and Craddock, R. Cameron and Priebe, Carey E. and Jung, Rex and Calhoun, Vince D. and Caffo, Brian and Burns, Randal and Milham, Michael P. and Vogelstein, Joshua T.},
+  author = {Kiar, Gregory and Bridgeford, Eric W. and Roncal, William R. Gray and {Consortium for Reliability and Reproducibility (CoRR)} and Chandrashekhar, Vikram and Mhembere, Disa and Ryman, Sephira and Zuo, Xi-Nian and Margulies, Daniel S. and Craddock, R. Cameron and Priebe, Carey E. and Jung, Rex and Calhoun, Vince D. and Caffo, Brian and Burns, Randal and Milham, Michael P. and Vogelstein, Joshua T.},
   year = {2018},
   month = apr,
   pages = {188706},
@@ -28,11 +28,10 @@ @misc{Neur
 }
 
 @misc{Neur18a,
-  title = {M2g},
+  title = {{{ndmg v}}0.1.0},
   author = {{NeuroData}},
   year = {2018},
   month = jan,
-  abstract = {ndmg},
   copyright = {Apache-2.0},
   howpublished = {NeuroData},
   url = {https://github.com/neurodata/m2g/tree/v0.1.0}

docs/_sources/references/style.py

@@ -135,6 +135,7 @@ def get_misc_template(self, e):
                 ],
                 optional[tag('em')[self.format_title(e, 'journal')]],
             ]]],
+            optional[self.format_doi(optional_field('doi'))],
             sentence[optional_field('note')],
         ]
         return template

docs/_sources/user/pipelines/pipeline_config.rst

@@ -137,10 +137,9 @@ Derivatives
    quality
 
 
-Reference
----------
-
+.. rubric:: References
 
 .. bibliography:: /references/glossary.bib
     :cited:
     :keyprefix: glossary-
+    :start: continue

docs/_sources/user/pipelines/preconfig.rst

@@ -117,12 +117,16 @@ Pipeline Configuration YAML: `https://github.com/FCP-INDI/C-PAC/blob/main/CPAC/r
 This pipeline is based on the work of Xu et al. :cite:`cite-monkey-Xu19` and nhp-ABCD-BIDS-pipeline. :cite:`cite-monkey-Stur20`
 
 .. bibliography:: /references/preconfigs.bib
-   :cited:
-   :keyprefix: cite-monkey-
+   :list: bullet
 
    Wang21a
    Rami20
 
+.. bibliography:: /references/preconfigs.bib
+   :cited:
+   :keyprefix: cite-monkey-
+   :start: continue
+
 Based on the preprocessing decisions of the default pipeline, this preconfiguration allows you to preprocess all of your macaque data, includes:
 
 Anatomical:

docs/_sources/user/tse.rst

@@ -35,9 +35,9 @@ Configuring ROI Time Series Extraction
    :start-at: timeseries_extraction:
    :end-before: seed_based_correlation_analysis:
 
-.. rubric References
+.. rubric:: References
 
 .. bibliography:: /references/tse.bib
-
    :cited:
    :keyprefix: cite-
+   :start: continue