[Dataset] Add Pan2024 SSVEP dataset
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Description
Dataset Information
- Suggested Name for MOABB: Pan2023
- Full Title: Pan2023 Motor Imagery Dataset
- Paradigm: ⚠️ Motor Imagery (NOT SSVEP) - Issue title is incorrect
- Category: Motor Imagery
Link Status
⚠️ Data Link: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/251NOW - Returns WAF challenge
✅ Correct Data DOI: https://doi.org/10.7910/DVN/O5CQFA
✅ Paper: https://iopscience.iop.org/article/10.1088/1741-2552/ad0a01 (Working - but describes MI, not SSVEP)
✅ Code Reference: https://github.com/PLC-TJU/RSF/blob/main/loaddata/pan2023.py (Working)
⚠️ IMPORTANT: Paradigm Correction Needed
The issue title states "SSVEP" but the actual dataset is Motor Imagery (MI). The paper and code reference both confirm this is a Motor Imagery dataset with left-hand and right-hand MI classification.
Publication Details
| Field | Value |
|---|---|
| Journal | Journal of Neural Engineering |
| Year | 2023 |
| DOI | 10.1088/1741-2552/ad0a01 |
| Authors | Pan Lincong, Wang Kun, Huang Yongzhi, Sun Xinwei, Meng Jiayuan, Yi Weibo, Xu Minpeng, Jung Tzyy-Ping, Ming Dong |
Technical Specifications
| Parameter | Value |
|---|---|
| Number of Subjects | 14 (5 females, aged 22-25, 2 left-handed) |
| Number of Channels | 28 |
| Sampling Frequency | 250 Hz (downsampled from 1000 Hz) |
| Sessions per Subject | 2 |
| Trials per Session | 120 |
| Total Trials per Subject | 240 |
| Trial Duration | 4 seconds |
| Classes | 2 (left-hand MI, right-hand MI) |
| Data Format | Epoched (MATLAB .mat files) |
| BIDS Format | ❌ No |
| Equipment | Neuroscan SynAmps2 amplifier |
Electrode Configuration
FC5, FC3, FC1, FCz, FC2, FC4, FC6, C5, C3, C1, Cz, C2, C4, C6, CP5, CP3, CP1, CPz, CP2, CP4, CP6, P5, P3, P1, Pz, P2, P4, P6
Description
Motor Imagery dataset from PLC-TJU group featuring a Riemannian geometry-based adaptive boosting and voting ensemble (RAVE) algorithm for decoding motor imagery EEG signals.
Original Suggestion
Created as part of dataset discovery initiative.
Related
This issue is a sub-issue of #1 (Discover new datasets)
Paradigm Correction: This dataset is Motor Imagery (left/right hand MI for RAVE algorithm), NOT SSVEP as stated in the issue title.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the linked Python loader at github.com/PLC-TJU/RSF/blob/main/loaddata/pan2023.py and the corrected DOI, confirming that the data is a 14-subject, two-class Motor Imagery dataset rather than SSVEP. Done should include a consistent Pan2023 name and the corrected paradigm, links, metadata, and data source; the issue does not name MOABB files or tests to run.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100