Remove Backed-by section; use full author list citation from CITATION.cff

org-readme/README.md

@@ -137,28 +137,23 @@ from torch.utils.data import DataLoader
 loader = DataLoader(ds, batch_size=32, shuffle=True)
 ```
 
-## Backed by
-
-A **U.S.–Israel collaboration** funded by the U.S. National Science Foundation:
-
-- **[Swartz Center for Computational Neuroscience (SCCN)](https://sccn.ucsd.edu)** — UC San Diego
-- **[Ben-Gurion University of the Negev](https://in.bgu.ac.il)** — Beer-Sheva, Israel
-
-Built on and contributing back to [MNE-Python](https://mne.tools), [braindecode](https://braindecode.org), [EEGLAB](https://eeglab.org), [BIDS](https://bids.neuroimaging.io), [OpenNeuro](https://openneuro.org), and [NEMAR](https://nemar.org).
-
 ## Contribute
 
 Missing a dataset? Wrong metadata? The whole catalog regenerates from one CSV — fix once, propagate everywhere. **[Open an issue](https://github.com/eegdash/EEGDash/issues)** or see **[CONTRIBUTING.md](https://github.com/eegdash/EEGDash/blob/main/CONTRIBUTING.md)**.
 
 ## Cite
 
+If you use EEGDash in your research, please cite the software entry below (and the companion paper once it's available):
+
 ```bibtex
 @software{eegdash,
-  title   = {EEGDash: An open catalog and loader for EEG/MEG datasets},
-  author  = {{EEG-DaSh contributors}},
-  url     = {https://github.com/eegdash/EEGDash},
-  year    = {2025},
-  license = {BSD-3-Clause}
+  title     = {EEG-DaSh: an open data, tool, and compute resource for machine learning on neuroelectromagnetic data},
+  author    = {Aristimunha, Bruno and Dotan, Aviv and Guetschel, Pierre and Truong, Dung and Kokate, Kuntal and Jaiswal, Aman and Majumdar, Amitrava and Shirazi, Seyed Yahya and Shriki, Oren and Delorme, Arnaud},
+  year      = {2026},
+  version   = {0.6.0},
+  license   = {BSD-3-Clause},
+  url       = {https://eegdash.org},
+  howpublished = {\url{https://github.com/eegdash/EEGDash}}
 }
 ```
 

org-readme/index.html

@@ -258,27 +258,24 @@ ds = BaseConcatDataset.pull_from_hub("EEGDash/ds002718")
 from torch.utils.data import DataLoader
 loader = DataLoader(ds, batch_size=32, shuffle=True)</code></pre>
 
-<h2>Backed by</h2>
-
-<p>A <strong>U.S.–Israel collaboration</strong> funded by the U.S. National Science Foundation:</p>
-<ul>
-  <li><a href="https://sccn.ucsd.edu"><strong>Swartz Center for Computational Neuroscience (SCCN)</strong></a> — UC San Diego</li>
-  <li><a href="https://in.bgu.ac.il"><strong>Ben-Gurion University of the Negev</strong></a> — Beer-Sheva, Israel</li>
-</ul>
-<p>Built on and contributing back to <a href="https://mne.tools">MNE-Python</a>, <a href="https://braindecode.org">braindecode</a>, <a href="https://eeglab.org">EEGLAB</a>, <a href="https://bids.neuroimaging.io">BIDS</a>, <a href="https://openneuro.org">OpenNeuro</a>, and <a href="https://nemar.org">NEMAR</a>.</p>
-
 <h2>Contribute</h2>
 
 <p>Missing a dataset? Wrong metadata? The whole catalog regenerates from one CSV — fix once, propagate everywhere. <strong><a href="https://github.com/eegdash/EEGDash/issues">Open an issue</a></strong> or see <a href="https://github.com/eegdash/EEGDash/blob/main/CONTRIBUTING.md">CONTRIBUTING.md</a>.</p>
 
 <h2>Cite</h2>
 
+<p>If you use EEGDash in your research, please cite the software entry below (and the companion paper once it&rsquo;s available):</p>
+
 <pre><code>@software{eegdash,
-  title   = {EEGDash: An open catalog and loader for EEG/MEG datasets},
-  author  = {{EEG-DaSh contributors}},
-  url     = {https://github.com/eegdash/EEGDash},
-  year    = {2025},
-  license = {BSD-3-Clause}
+  title     = {EEG-DaSh: an open data, tool, and compute resource for machine learning on neuroelectromagnetic data},
+  author    = {Aristimunha, Bruno and Dotan, Aviv and Guetschel, Pierre and Truong, Dung
+               and Kokate, Kuntal and Jaiswal, Aman and Majumdar, Amitrava
+               and Shirazi, Seyed Yahya and Shriki, Oren and Delorme, Arnaud},
+  year      = {2026},
+  version   = {0.6.0},
+  license   = {BSD-3-Clause},
+  url       = {https://eegdash.org},
+  howpublished = {\url{https://github.com/eegdash/EEGDash}}
 }</code></pre>
 
 <p>When you use a specific dataset, always follow its upstream citation policy — the link lives in every dataset&rsquo;s HF card under <em>How to cite</em>.</p>