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nm000269
BigP3BCI Study A — P300 BCI EEG dataset (13 healthy subjects, Mainsah et al. 2025)

EEG Zarr

A derivative P300 brain-computer interface EEG dataset from 13 healthy subjects (one session each) performing a visual speller task with a 6x6 checkerboard stimulus paradigm. It contains 32-channel recordings sampled at 256 Hz with binary target/non-target event labels annotated using HED 8.4.0. It is Study A of the BigP3BCI collection and was processed and converted to BIDS with the MOABB framework.

Participants

13

Channels

32 (10-10)

HED

v8.4.0

Size

3.86 GB

Version

v1.0.4

Updated

Oct 8, 2026

by Boyla Mainsah et al.
nm000315
Shin2022: Closed-loop 1D left/right motor imagery EEG dataset (live recordings)

EEG

…per session: 11 File format: BCI2000 Acquisition ----------- Sampling rate: 250.0 Hz…

Participants

10

Channels

16 (other)

HED

v8.4.0

Size

879 MB

Version

v1.0.0

Updated

Oct 8, 2026

by Hyonyoung Shin et al.
nm000148
Motor imagery BCI dataset with pupillometry augmentation

EEG Zarr

EEG recordings from 30 healthy participants performing a left-hand grasping motor imagery task versus rest, cued by auditory stimuli, with simultaneous pupillometry. The dataset was recorded with a 32-channel BioSemi ActiveTwo system at 512 Hz across two runs of 25 trials per subject. It supports evaluating whether task-evoked pupil diameter changes can improve EEG-based motor imagery brain-computer interface classification.

Participants

30

Channels

32 (10-10)

Citations

36

HED

v8.4.0

Size

3.22 GB

Version

v1.0.2

Updated

Aug 18, 2026

by David Rozado et al.
nm000259
Speier et al. 2017 — A comparison of stimulus types in online classification of the P300 speller using language models

EEG Zarr

…per session: 3 File format: BCI2000 Acquisition ----------- Sampling rate: 256.0 Hz…

Participants

10

Channels

32 (10-10)

Citations

28

HED

v8.4.0

Size

773 MB

Version

v1.0.5

Updated

Oct 8, 2026

by William Speier et al.
nm000205
RSVP collaborative BCI dataset from Zheng et al 2020

EEG Zarr

A cross-session EEG dataset for collaborative brain-computer interfaces based on rapid serial visual presentation (RSVP). Fourteen healthy participants, arranged in seven pairs, were recorded simultaneously over two sessions while detecting target images (humans vs. non-humans) in rapid image streams. The dataset contains 62-channel EEG with Target and NonTarget event annotations and supports P300/ERP and collaborative BCI research.

Participants

14

Channels

62 (10-10)

Citations

29

HED

v8.4.0

Size

11.9 GB

Version

v1.0.4

Updated

Oct 8, 2026

by Li Zheng et al.
nm000356
Bellier et al. 2023 Pink Floyd music listening ECoG: authors' high-frequency activity (HFA, 70-150 Hz) for 29 patients

iEEG

…Hz with g.USBamp and BCI2000. Approved by Albany Medical College IRB…

Participants

29

Size

568 MB

Version

v1.0.0

Updated

Oct 8, 2026

by Ludovic Bellier et al.
nm000346
Castillos et al. 2023, m-sequence c-VEP, 100% amplitude depth: Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience

EEG Zarr

EEG dataset of a 4-class code-modulated visual evoked potential (c-VEP) reactive brain-computer interface study with 12 healthy participants. This subset contains the m-sequence c-VEP condition at 100% amplitude depth, recorded with a 32-channel BrainProducts LiveAmp system at 500 Hz. The study compared burst and m-sequence codes at two amplitude depths, assessing classification accuracy with minimal calibration data and user experience.

Participants

12

Channels

32 (10-10)

Citations

18

HED

v8.4.0

Size

352 MB

Version

v1.0.3

Updated

Oct 8, 2026

by Kalou Cabrera Castillos et al.
nm000151
Motor imagery dataset for three imaginary states of the same upper extremity

EEG Zarr

…0, 3] s - **File format**: BCI2000 ## Acquisition - **Sampling rate**: 1000.0 Hz…

Participants

12

Channels

32 (egi-geodesic)

Citations

45

HED

v8.4.0

Size

52.0 GB

Version

v1.0.3

Updated

Aug 20, 2026

by Mojgan Tavakolan et al.
nm000344
Castillos et al. 2023, Burst c-VEP, 100% amplitude depth: Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience

EEG Zarr

EEG recordings from 12 healthy participants performing an offline 4-class code-modulated visual evoked potential (c-VEP) task with burst stimulation sequences at 100% amplitude depth. The dataset accompanies a study comparing burst c-VEP codes with m-sequences to improve classification accuracy, reduce calibration data and improve user experience in reactive brain-computer interfaces. Data were acquired with a 32-channel BrainProducts LiveAmp system at 500 Hz.

Participants

12

Channels

32 (10-10)

Citations

18

HED

v8.4.0

Size

352 MB

Version

v1.0.3

Updated

Oct 8, 2026

by Kalou Cabrera Castillos et al.
nm000237
7-day motor imagery BCI EEG dataset from Zhou et al 2021

EEG Zarr

A longitudinal motor imagery brain-computer interface EEG dataset in which 20 healthy participants each completed seven sessions on separate days without feedback training. Four classes were recorded (left hand, right hand, both feet, rest) with a 41-channel Neuroscan system at 500 Hz, yielding 33,600 trials. The dataset supports research on the stability of motor imagery decoding across days and subjects.

Participants

20

Channels

41 (other)

Citations

16

HED

v8.4.0

Size

93.1 GB

Version

v1.0.3

Updated

Aug 20, 2026

by Qing Zhou et al.