P300 BCI EEG dataset (Chailloux Peguero et al. 2020)
A P300 brain-computer interface EEG dataset comprising recordings from 19 healthy participants across 3 sessions. The study investigates the effects of visual stimulation conditions (standard flash versus cartoon face stimuli) on P300-BCI performance using an 8-channel montage sampled at 256 Hz, with data collected using a P300 paradigm across 5 grid sizes and including target and non-target event classifications. This is a BIDS-formatted derivative dataset converted from OpenNeuro ds003190 using the MOABB pipeline.
- Participants
- 19
- Channels
- 8 (10-10)
- Citations
- 15
- HED
- v8.4.0
- Size
- 463 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026