Discover datasets

Motor-imagery EEG recorded from 12 healthy, BCI-naive participants performing cued left- versus right-hand imagery to control a Baxter robot arm reaching toward objects. Each participant completed three sessions with first-person and third-person visual feedback conditions, giving 480 trials per subject. Data were recorded with a 32-channel LiveAmp system at 250 Hz and re-released in BIDS format via MOABB.

Participants

12

Channels

32 (10-10)

HED

v8.4.0

Size

5.69 GB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from 43 healthy participants playing Brain Invaders, a visual P300 brain-computer interface game based on an oddball paradigm with a grid of 36 symbols. Data were recorded with 32 wet electrodes across three sessions with flash durations of 50, 80 and 110 ms. The study examined the influence of flash duration on a calibration-less P300 BCI that used an adaptive Riemannian minimum distance to mean classifier. It was collected at GIPSA-lab, Grenoble, in 2015.

Participants

43

Channels

32 (10-10)

Citations

42

HED

v8.4.0

Size

6.19 GB

Version

v1.0.4

Updated

Oct 8, 2026

This dataset is Study K of the bigP3BCI collection, a P300-based brain-computer interface speller dataset. It contains 16-channel EEG recorded from 5 healthy participants across 2 sessions, using a 9x8 character grid with adaptive and checkerboard stimulus paradigms. Target and non-target events are annotated with HED tags. The data are a BIDS-formatted derivative of the PhysioNet bigP3BCI release, prepared with MOABB.

Participants

5

Channels

16 (10-10)

Citations

2

HED

v8.4.0

Size

790 MB

Version

v1.0.4

Updated

Oct 8, 2026

EEG recordings from 20 healthy participants performing a discrete center-out reaching task in four directions (up, down, left, right) at two speeds (slow, fast) and two distances (near, far). The data were recorded with 67 channels, including EOG, and preprocessed with eye artifact correction (SGEYESUB) and ICA. The dataset supports research on low-frequency EEG encoding of reaching kinematics and on brain-computer interfaces.

Participants

20

Channels

67 (10-05)

Citations

4

HED

v8.4.0

Size

15.4 GB

Version

v1.0.2

Updated

Aug 18, 2026

EEG recordings from 44 participants playing Brain Invaders in a cooperative versus competitive multi-user setting (bi2015b). Brain Invaders is a visual P300 brain-computer interface videogame. The game uses an oddball paradigm on a grid of 36 aliens, with 1 target and 35 non-targets flashed in pseudo-random groups. Data were recorded with 32 wet electrodes at GIPSA-lab, Grenoble, in 2015.

Participants

44

Channels

32 (10-10)

Citations

11

HED

v8.4.0

Size

8.59 GB

Version

v1.0.5

Updated

Oct 8, 2026

EEG recordings from four participants performing motor imagery of the left hand, right hand, and feet, originally reported by Zhou et al. (2016) in a study on automated trial selection for motor imagery brain-computer interfaces. Each participant completed three sessions of two runs, giving 450 trials per subject. Data were recorded from 14 channels at 250 Hz and reformatted into BIDS from a MOABB-generated Zenodo version.

Participants

4

Channels

14 (10-10)

Citations

87

Size

152 MB

Version

v1.0.0

Updated

Mar 3, 2026

An open-access EEG dataset of a motor imagery brain-computer interface experiment conducted under distraction. Sixteen healthy participants performed left- versus right-hand motor imagery, first in a calibration run and then in feedback runs under six conditions: no distraction, eyes closed, news listening, number search, flickering video, and vibro-tactile stimulation. Recordings comprise 63 EEG channels at 1000 Hz and 504 trials per subject.

Participants

16

Channels

63 (10-05)

Citations

13

HED

v8.4.0

Size

72.1 GB

Version

v1.0.7

Updated

Aug 18, 2026

EEG dataset from the Advanced Guard Duty study, which measured sustained vigilance in a realistic setting. Participants verified replica ID badges against reference face images while the ID presentation rate and verification criteria varied across ten 5-minute blocks. Recordings include 256-channel BioSemi EEG with eye and mastoid channels, along with eye tracking and behavioral data on accuracy and processing time. The driving tasks that accompanied the guard duty task are not included.

Participants

27

Channels

256 (biosemi)

Citations

25

HED

v8.0.0

Size

67.6 GB

Version

v1.0.0

Updated

Jun 23, 2026

A BIDS-formatted derivative of the OpenBMI SSVEP EEG dataset (Lee et al. 2019), converted via the MOABB framework for standardized BCI benchmarking. It contains 62-channel EEG recorded at 1000 Hz from 54 participants over two sessions, with a four-class steady-state visually evoked potential paradigm (21,600 trials of 4 s each). The data support analysis of SSVEP-based brain-computer interfaces and BCI illiteracy.

Participants

54

Channels

62 (10-05)

Citations

101

Size

72.4 GB

Version

v1.0.8

Updated

Oct 8, 2026

A longitudinal motor imagery EEG dataset from 18 BCI-naive participants recorded across six sessions (one offline, five online) with 22 EEG channels at 512 Hz. It supports the study of transfer learning for brain-computer interface skill acquisition, comparing unsupervised Generic Recentering and supervised Personally Assisted Recentering for calibration-free training. Participants performed left/right hand motor imagery with continuous visual feedback.

Participants

18

Channels

22 (10-10)

Citations

53

HED

v8.4.0

Size

14.4 GB

Version

v1.0.5

Updated

Oct 8, 2026