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Showing 10 of 111 datasets · page 6 of 12

nm000237
7-day motor imagery BCI EEG dataset from Zhou et al 2021

EEG

This dataset contains EEG recordings from 20 healthy participants performing a 7-day longitudinal motor imagery brain-computer interface (BCI) task without feedback. Each subject completed 7 sessions of 6 runs, imagining left hand, right hand, feet, and rest movements, yielding 33,600 trials in total. The dataset was converted to BIDS format from the original study by Zhou et al. (2021) examining the relationship between relative power and motor imagery decoding performance across time and subjects.

Participants

20

Channels

41 (other)

Citations

15

HED

v8.4.0

Size

93.1 GB

Version

v1.0.3

Updated

Aug 20, 2026

by Qing Zhou et al.
nm000236
Dataset of an EEG-based BCI experiment in Virtual Reality using P300

EEG

This dataset comprises electroencephalographic recordings from 21 healthy subjects performing a visual P300-based brain-computer interface task in two environments: a personal computer and a virtual reality headset. The study compares BCI performance and user experience across these modalities using a 6×6 matrix speller paradigm with 16-channel EEG recordings at 512 Hz sampling rate. The experiment was conducted at GIPSA-lab in 2018 and includes both physiological and subjective outcome measures.

Participants

21

Channels

16 (10-10)

Citations

5

HED

v8.4.0

Size

999 MB

Version

v1.0.4

Updated

Aug 18, 2026

by Grégoire Cattan et al.
nm000230
Lower-limb MI dataset for knee pain patients from Zuo et al. 2025

EEG

A lower-limb motor imagery EEG dataset comprising 30 knee pain patients performing left and right leg flexion/extension imagery tasks across 5 sessions. The dataset contains 500 trials (250 per class) recorded at 500 Hz from 30 EEG channels using a standard 10-05 montage. This clinical dataset supports the development and evaluation of brain-computer interface classifiers for motor rehabilitation applications in patients with knee pain.

Participants

30

Channels

30 (10-10)

Citations

3

HED

v8.4.0

Size

19.4 GB

Version

v1.0.2

Updated

Aug 18, 2026

by Chongwen Zuo et al.
nm000223
Electric light control experiment (15 subjects, 4 classes, 31 EEG ch)

EEG

This dataset comprises EEG recordings from 15 healthy subjects performing a P300-based brain-computer interface task for home appliance control. The experiment employed a visual oddball paradigm with 31-channel EEG acquisition at 500 Hz, yielding target and non-target event classifications across 50 training and 30 testing trials per subject. The data supports the development and benchmarking of P300-based BCI systems for practical applications in smart home environments.

Participants

15

Channels

31 (10-10)

Citations

8

HED

v8.4.0

Size

1.22 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Jongmin Lee et al.
nm000222
Air conditioner control experiment (10 subjects, 4 classes, 25 EEG ch)

EEG

This dataset comprises EEG recordings from 10 healthy subjects performing a P300-based brain-computer interface task for home appliance control. Participants responded to visual stimuli in a binary oddball paradigm (Target/NonTarget classification) while 25-channel EEG was recorded at 500 Hz using active electrodes in a standard 10-20 montage. The dataset includes 50 training and 30 testing trials per subject, providing a benchmark resource for P300-based BCI research and algorithm development.

Participants

10

Channels

25 (10-10)

Citations

9

HED

v8.4.0

Size

1.04 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Jongmin Lee et al.
nm000221
Alphawaves dataset

EEG

The Alphawaves dataset comprises resting-state EEG recordings from 19 healthy participants acquired using a 16-channel g.tec g.USBamp system at 512 Hz sampling rate. Participants alternated between eyes-closed and eyes-open conditions in 10-second trials, with event-related synchronization analysis focused on alpha frequency band activity (8-12 Hz). This dataset serves as a benchmark resource for brain-computer interface research and resting-state EEG analysis.

Participants

19

Channels

16 (10-10)

HED

v8.4.0

Size

178 MB

Version

v1.0.3

Updated

Aug 18, 2026

by Grégoire Cattan et al.
nm000219
BNCI 2020-002 Attention Shift (Covert Spatial Attention) dataset

EEG

A gaze-independent brain-computer interface dataset based on covert spatial attention shifts for binary communication. This EEG dataset comprises recordings from 18 healthy participants performing a visual attention task with N2pc event-related potential detection. The paradigm uses colored visual stimuli (green crosses for 'yes', red crosses for 'no') presented while maintaining central gaze fixation, achieving 88.5% mean accuracy with canonical correlation analysis classification.

Participants

18

Channels

30 (10-10)

Citations

26

HED

v8.4.0

Size

1.82 GB

Version

v1.0.2

Updated

Aug 18, 2026

by Christoph Reichert et al.
nm000218
BigP3BCI Study H — 9x8 checkerboard with gaze conditions (16 healthy subjects)

EEG

This dataset comprises EEG recordings from 16 healthy subjects performing a P300-based brain-computer interface task using a 9x8 checkerboard stimulus grid with gaze conditions. The data were acquired at 256 Hz using 16 channels in a standard 10-20 montage and include target and non-target event classifications for P300 detection and speller applications. This derivative dataset is part of the BigP3BCI project, the largest public P300 BCI dataset containing recordings from approximately 267 subjects across multiple studies.

Participants

16

Channels

16 (10-10)

HED

v8.4.0

Size

1.76 GB

Version

v1.0.2

Updated

Aug 18, 2026

by Boyla Mainsah et al.
nm000217
P300 dataset BI2015b from a "Brain Invaders" experiment

EEG

This dataset (BI2015b) comprises EEG recordings from 44 subjects playing a visual P300-based Brain-Computer Interface videogame called Brain Invaders, collected at GIPSA-lab, Grenoble, France in 2015. Using an oddball paradigm on a 36-symbol grid, participants elicited P300 responses under three flash-duration conditions (50ms, 80ms, 110ms) across three game sessions. The dataset was reformatted into BIDS by MOABB and includes HED event annotations for Target and NonTarget stimuli, intended for benchmarking BCI decoding algorithms.

Participants

44

Channels

32 (10-10)

Citations

9

HED

v8.4.0

Size

8.59 GB

Version

v1.0.4

Updated

Aug 21, 2026

by Louis Korczowski et al.
nm000216
P300 dataset BI2015a from a "Brain Invaders" experiment

EEG

This dataset comprises electroencephalographic recordings from 43 healthy subjects performing a visual P300-based brain-computer interface task using the Brain Invaders videogame paradigm. The experiment took place at GIPSA-lab, Grenoble, France, in 2015. Participants responded to an oddball stimulus presentation (36-symbol grid with 1 target, 35 non-targets) across three sessions with varying flash durations (50ms, 80ms, 110ms). EEG data were acquired using 32 wet electrodes at 512 Hz and processed with a calibration-free adaptive Riemannian classifier for real-time feedback. Resting state recordings (eyes closed, approximately one minute) were acquired before and after each session.

Participants

43

Channels

32 (10-10)

Citations

39

HED

v8.4.0

Size

6.19 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Louis Korczowski et al.