nm000303
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study O)
EEG
BigP3BCI Study O is a P300-based brain-computer interface dataset comprising EEG recordings from 18 ALS subjects across 2 sessions each. Participants performed a visual speller task using a 9x8 character grid with supervised/checkerboard stimulus paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz, annotated with target and non-target event labels, and is part of the larger BigP3BCI collection representing one of the most comprehensive public P300 BCI datasets.
- Participants
- 18
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 981 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026