Discover datasets

A longitudinal EEG dataset of two-class (left vs. right hand) motor-imagery brain-computer interface training combined with transcutaneous electrical spinal cord stimulation. It includes 27 participants (25 able-bodied and 2 with spinal cord injury), recorded with 32 EEG channels and 3 EOG channels at 512 Hz. The dataset supports study of how spinal stimulation affects sensorimotor activation and BCI skill learning.

Participants

27

Channels

32 (10-10)

HED

v8.4.0

Size

3.53 GB

Version

v1.0.0

Updated

Oct 8, 2026

A P300 brain-computer interface EEG dataset from 19 healthy participants, each recorded across 3 sessions. The study examines how visual stimulation conditions, standard flash versus cartoon face stimuli, affect single-option P300-BCI performance across grid sizes of 4 to 9 symbols. Recordings use an 8-channel montage sampled at 256 Hz and include target and non-target event labels.

Participants

19

Channels

8 (10-10)

Citations

16

HED

v8.4.0

Size

482 MB

Version

v1.0.2

Updated

Oct 8, 2026

A multi-modal neuroimaging dataset (XP1) with simultaneous 64-channel EEG and fMRI recorded while 10 participants performed right-hand kinaesthetic motor imagery with neurofeedback. Each participant completed motor localizer, pre- and post-training motor imagery runs, and three neurofeedback runs (EEG-only, fMRI-only, and bimodal EEG-fMRI). The release includes raw and preprocessed EEG, BOLD fMRI, anatomical data, and EEG and BOLD neurofeedback scores to support multi-modal data integration.

Participants

10

Size

18.0 GB

Version

v1.0.0

Updated

Jun 21, 2026

This dataset contains simultaneous multimodal EEG and functional near-infrared spectroscopy (fNIRS) recordings from patients undergoing general anesthesia. It is organized in BIDS format and supports research on brain activity and hemodynamics during anesthetic administration and changes in consciousness.

Participants

8

Channels

58 (10-10)

Size

2.90 GB

Version

v1.0.0

Updated

Jun 24, 2026

A left/right-hand motor-imagery EEG dataset from 29 healthy participants recorded at the University of West Bohemia for brain-computer interface research. Participants performed cue-based, single-class imagery of left- or right-hand movement across four runs in one session. The data are re-released in BIDS format with HED event annotations via MOABB.

Participants

29

Channels

9 (10-20)

HED

v8.4.0

Size

800 MB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from 24 healthy participants performing a visual oddball (P300) event-related potential paradigm during mobile conditions: standing, walking, and running. Data were acquired with scalp and ear-EEG systems (73 channels, plus EOG) across five sessions per participant. This is a BIDS-formatted derivative of the Mobile BCI dataset, intended for benchmarking brain-computer interface decoding under locomotion.

Participants

24

Channels

48 (10-10)

Citations

36

HED

v8.4.0

Size

8.08 GB

Version

v1.0.3

Updated

Oct 8, 2026

EEG recordings from two tetraplegic pilots of team Brain Tweakers (CNBI, EPFL) during longitudinal motor-imagery BCI training for the Cybathlon 2016 BCI race. The dataset contains 16-channel EEG from cue-based offline calibration runs with three classes (both hands, both feet, rest), recorded at 512 Hz. It was re-released in BIDS format from the original Zenodo deposit via MOABB.

Participants

2

Channels

16 (10-10)

HED

v8.4.0

Size

5.30 GB

Version

v1.0.0

Updated

Oct 8, 2026

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

InsurgentCivilian is an EEG dataset with HED (Hierarchical Event Descriptors) annotations, contributed by Johnson, Gordon, Touryan, and King. The README describes it only as a placeholder, so detailed information on the task, participants, and acquisition is not provided.

Participants

1

Channels

64 (10-10)

HED

v8.1.0

Size

79.2 MB

Version

v1.0.0

Updated

May 13, 2026

EEG recordings from 12 healthy, BCI-naive participants performing two-class motor imagery (sustained right-hand palmar grip versus both-feet plantar extension) across two sessions, with 200 trials per session. Data were recorded from 13 sensorimotor channels at 512 Hz with visual cursor feedback, in support of an autocalibrating, recurrently adapting online ERD-based brain-computer interface. The dataset is distributed in BIDS format via MOABB.

Participants

12

Channels

13 (10-10)

Citations

94

HED

v8.4.0

Size

2.83 GB

Version

v1.0.2

Updated

Aug 18, 2026