Discover datasets

Stereo-EEG recordings from six patients with medically refractory epilepsy performing a scene recognition memory task with concurrent EyeLink eye tracking. The dataset accompanies a study of how the human hippocampus rapidly coordinates effective learning, and is a lossless iEEG-BIDS re-packaging of the authors' public Zenodo release. It includes electrode MNI coordinates, behavioural arrays, eye-tracking files and the authors' analysis code in sourcedata.

Participants

6

Size

41.7 GB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from healthy participants performing self-initiated palmar and lateral reach-and-grasp actions, acquired simultaneously across three recording systems: gel-based laboratory EEG, water-based mobile EEG, and dry-electrode mobile EEG. The dataset supports investigation of the feasibility of decoding natural reach-and-grasp movement-related cortical potentials across EEG acquisition modalities for brain-computer interface applications. It is distributed in BIDS format as part of the MOABB benchmark collection.

Participants

45

Channels

58 (10-05)

Citations

50

HED

v8.4.0

Size

8.67 GB

Version

v1.0.4

Updated

Oct 8, 2026

MEG dataset from 22 participants performing a visual working memory task in which two Gabor stimuli were presented and a retro-cue indicated which stimulus and attribute to maintain for comparison with a probe. Each participant was recorded in two MEG sessions, with a one-back control task and anatomical T1 MRI. The data support investigation of the distinct brain mechanisms of selecting and maintaining information in working memory.

Participants

22

Size

168 GB

Version

v1.0.0

Updated

Jun 21, 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

High-density (127-channel) EEG recordings from 30 healthy, right-handed, native Chinese-speaking adults performing imagined and executed vocalization and writing tasks. Stimuli were four Chinese strokes (heng, shu, pie, na) and four English letters (a, b, c, d). The factorial design crossed task mode, action, script and token identity, yielding 32 event-coded conditions and 15,360 task events. The release also includes EEGLAB preprocessing derivatives and subject-level machine-learning exports.

Participants

30

Channels

124 (10-05)

Size

181 GB

Version

v1.0.0

Updated

Sep 8, 2026

EEG dataset from the PROTEUS brain-computer interface (BCI) project in Bordeaux, released for the EEG/EMG Foundation Challenge 2026 (Track 02). It contains recordings from 10 participants across 14 sessions (112 runs) performing three cued mental tasks: kinesthetic motor imagery, mental subtraction and word generation. Runs include resting baselines, calibration runs with sham feedback and online runs with real feedback, using Graz and BrainHero interfaces.

Participants

10

Channels

41 (10-10)

Size

1.48 GB

Version

v1.0.0

Updated

Oct 1, 2026

This dataset contains simultaneous 64-channel EEG and fMRI recordings from 16 participants performing right-hand motor imagery with bimodal EEG-fMRI neurofeedback (experiment XP2). Participants were randomly assigned to receive either a mono-dimensional or a bi-dimensional feedback display. It includes raw and preprocessed EEG, BOLD fMRI, and EEG and BOLD neurofeedback scores, supporting multi-modal data integration research. It is designed to be combined with the companion XP1 dataset.

Participants

17

Size

25.9 GB

Version

v1.0.0

Updated

Jun 21, 2026

A multichannel EEG dataset of self-paced (freewill) reach-and-grasp movements recorded from 23 healthy right-handed participants across 49 sessions. On each of 6808 trials the participant freely chose one of four cups, two filled with water and two empty, and decided when to move. Recordings were made at 250 Hz with a 31-channel scalp EEG montage plus EOG and auxiliary channels, to support brain-machine interface research on natural motor execution.

Participants

23

Channels

31 (10-10)

HED

v8.4.0

Size

2.53 GB

Version

v1.0.0

Updated

Oct 8, 2026

This dataset contains intracranial recordings acquired in humans using the CorTec BrainInterchange implantable device together with BCI2000 software. It supports the development of an ecosystem of technology and protocols for adaptive neuromodulation research. The data are shared in BIDS format with iEEG recordings.

Participants

3

Size

19.3 GB

Version

v1.0.0

Updated

Jun 25, 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