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nm000202
P300 dataset BI2012 from a "Brain Invaders" experiment

EEG Zarr

EEG recordings from 25 healthy volunteers playing Brain Invaders, a visual P300 brain-computer interface modeled on the video game Space Invaders. Data were acquired with 16 electrodes at GIPSA-lab (Grenoble, France) in 2012, using a training-test design with Target and NonTarget flashes. The dataset supports P300 BCI research and classification benchmarking, for example with xDAWN and Riemannian methods.

Participants

25

Channels

16 (10-20)

Citations

1

HED

v8.4.0

Size

55.1 MB

Version

v1.0.1

Updated

Oct 8, 2026

by G.F.P. Van Veen et al.
on002722
A dataset recorded during development of an affective brain-computer music interface: calibration session

EEG

EEG, galvanic skin response (GSR) and electrocardiogram (ECG) recordings from healthy adult volunteers listening to 40-s synthetic music clips designed to target specific affective states defined by valence and arousal. The data were collected to calibrate an affective brain-computer music interface that induces target emotional states through real-time modification of generated music. Each session comprised 5 runs of 18 music trials, and self-reported valence and arousal ratings are included. This is the calibration dataset of three related datasets from the BCMI-MIdAS project.

Participants

19

Channels

32 (10-10)

Size

6.10 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Ian Daly et al. OpenNeuro ds002722
nm000192
BNCI 2015-006 Music BCI dataset

EEG Zarr

EEG recordings from 11 healthy participants performing a multi-streamed auditory oddball task with polyphonic music. Participants selectively attended to one of three concurrent instruments (Synth-Pop or Jazz clips) and counted deviants. The dataset supports brain-computer interface research on P300 and early auditory responses, and the attended instrument could be classified offline with a mean accuracy of 91%.

Participants

11

Channels

64 (10-10)

Citations

83

HED

v8.4.0

Size

11.8 GB

Version

v1.0.3

Updated

Oct 8, 2026

by M S Treder et al.
nm000234
BNCI 2015-009 AMUSE (Auditory Multi-class Spatial ERP) dataset

EEG Zarr

EEG recordings from 21 participants performing an offline auditory spatial oddball task for a multi-class brain-computer interface (AMUSE). Five frontal speakers presented unique auditory stimuli under three conditions that varied inter-stimulus interval and speaker configuration, and participants attended to target directions. The data were used to evaluate P300-based spelling and communication paradigms, and are distributed here in preprocessed form through MOABB.

Participants

21

Channels

60 (10-10)

Citations

91

HED

v8.4.0

Size

16.5 GB

Version

v1.0.3

Updated

Oct 8, 2026

by Martijn Schreuder et al.