nm000248
BigP3BCI Study L — 6x6 multi-paradigm (11 ALS subjects)
EEG
…https://doi.org/10.1038/s41597-019-0104-8 --- Generated by MOABB…
- Participants
- 11
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 2.69 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
Discover datasets
100 results for "MOABB" · page 4 of 10 · ranked by relevance
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- nm000187
BigP3BCI Study N — 9x8 dry/wet electrode comparison (8 ALS subjects)
EEG…https://doi.org/10.1038/s41597-019-0104-8 --- Generated by MOABB…
- Participants
- 8
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 1.22 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000247
BigP3BCI Study S1 — 9x8 face/house paradigm (10 healthy subjects)
EEG…https://doi.org/10.1038/s41597-019-0104-8 --- Generated by MOABB…
- Participants
- 10
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 1.56 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000197
BigP3BCI Study M — 9x8 adaptive/checkerboard (21 ALS subjects)
EEG…https://doi.org/10.1038/s41597-019-0104-8 --- Generated by MOABB…
- Participants
- 21
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 2.38 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000343
Hinss et al. 2021 — Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications
EEG…The MOABB loader provides resting state and MATB conditions only. Feedback type…
- Participants
- 15
- Channels
- 61 (10-10)
- Citations
- 64
- HED
- v8.4.0
- Size
- 4.04 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000277
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study G)
EEG…https://doi.org/10.1038/s41597-019-0104-8 --- Generated by MOABB…
- Participants
- 20
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 1.62 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000340
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study J)
EEG…https://doi.org/10.1038/s41597-019-0104-8 --- Generated by MOABB…
- Participants
- 20
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 1.49 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000130
Liu2022 – eldBETA SSVEP benchmark dataset for elderly population
EEG…https://doi.org/10.1038/s41597-019-0104-8 --- Generated by MOABB…
- Participants
- 100
- Channels
- 64 (10-10)
- Citations
- 29
- HED
- v8.4.0
- Size
- 34.8 GB
- Version
- v1.0.3
- Updated
- Aug 20, 2026
- nm000176
BigP3BCI Study K — 9x8 adaptive/checkerboard, 2 sessions (5 healthy subjects)
EEG…https://doi.org/10.1038/s41597-019-0104-8 --- Generated by MOABB…
- Participants
- 5
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 790 MB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000218
BigP3BCI Study H — 9x8 checkerboard with gaze conditions (16 healthy subjects)
EEG…https://doi.org/10.1038/s41597-019-0104-8 --- Generated by MOABB…
- Participants
- 16
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 1.76 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026