Discover datasets

EEG recordings from participants performing a rapid go/nogo visual task in which briefly flashed (20 ms) natural photographs had to be either categorized (animal vs. non-animal) or recognized (a previously learned probe image). Data were collected over two recording days, in series of 100 images with equally likely target and non-target trials. The dataset supports research on the timing of visual categorization and recognition processes and on single-trial EEG dynamics.

Participants

14

Channels

31 (10-20)

Size

9.22 GB

Version

v1.0.0

Updated

Jun 21, 2026

A motor imagery EEG dataset from 54 healthy participants performing binary left/right hand grasping imagery across two sessions on different days. Recordings were made with 62 EEG channels plus 4 EMG channels at 1000 Hz. The data belong to a larger multi-paradigm BCI collection (MI, ERP, SSVEP) used to investigate BCI illiteracy and variation in decoding performance across subjects and sessions.

Participants

54

Channels

62 (10-05)

Citations

99

HED

v8.4.0

Size

121 GB

Version

v1.0.5

Updated

Aug 18, 2026

A motor imagery brain-computer interface EEG dataset from 52 healthy subjects performing left- and right-hand kinesthetic finger movement imagery. Recordings include 64-channel EEG and 4 EMG channels sampled at 512 Hz. They are accompanied by psychological and physiological questionnaires, 3D electrode locations, and non-task-related states. This BIDS derivative was generated with MOABB from the original GigaDB deposit.

Participants

52

Channels

64 (10-10)

Citations

91

HED

v8.4.0

Size

16.7 GB

Version

v1.0.2

Updated

Aug 18, 2026

Stereo-EEG (intracerebral) recordings from 28 patients with refractory epilepsy during fast periodic visual stimulation, with natural object images presented at 6 Hz and faces as every fifth image (1.2 Hz) in the periodic condition, or at random positions in a non-periodic control condition. The dataset is a derivative release of the authors' Letswave files, low-pass filtered at 30 Hz and segmented into sequences, repackaged in BIDS (BrainVision) format. It supports mapping of face-selective responses in the human ventral occipito-temporal cortex.

Participants

28

Size

5.39 GB

Version

v1.0.0

Updated

Oct 8, 2026

EEG recordings from 12 healthy, BCI-naive participants performing kinesthetic motor imagery of upper-limb, elbow-centered tasks. The paradigm has 10 classes: rest, elbow flexion, and eight goal-directed daily-living tasks such as drawer opening, soup eating, weight lifting and combing. Data were recorded with a 17-channel EGI system at 1000 Hz. The dataset supports research on the versatility of EEG models for motor-imagery BCI control and rehabilitation.

Participants

12

Channels

17 (other)

Citations

12

HED

v8.4.0

Size

4.18 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset contains motor-imagery EEG, bipolar EMG, skin temperature and accelerometry recorded from 26 healthy volunteers performing cued left- vs right-hand motor imagery during MI-BCI training in immersive virtual reality. Participants were randomized to an embodiment-primed (virtual hand illusion) group or a non-embodied control group, each completing one run of 40 trials. The data were re-released in BIDS format via MOABB from the original Zenodo deposit.

Participants

26

Channels

32 (10-10)

HED

v8.4.0

Size

3.65 GB

Version

v1.0.1

Updated

Oct 8, 2026

This dataset contains anatomical T1-weighted MRI, raw multi-echo resting-state fMRI, and polysomnography (PSG) EEG recordings from healthy controls and patients with zoster-associated neuralgia (ZAN). It supports investigation of brain structure, functional activity, and sleep differences between HC and ZAN groups. MRI and PSG data partly overlap across participants, and sleep stages were manually scored according to AASM criteria.

Participants

66

Channels

19 (other)

Size

59.2 GB

Version

v1.0.0

Updated

May 25, 2026

EEG recordings from 8 healthy participants performing cue-based motor imagery of the right hand, feet, and rest, with 20 trials per class. The data were collected for the PhD thesis of A. Barachant on robust control of an effector through an asynchronous EEG brain-machine interface, and correspond to Step B (cue-based imagery without feedback) of the Brain Switch campaign. They are intended for familiarization and algorithm development, including Riemannian geometry and CSP-based classification.

Participants

8

Channels

16 (10-20)

HED

v8.4.0

Size

232 MB

Version

v1.0.2

Updated

Aug 18, 2026

NOD-MEG is a magnetoencephalography dataset of human subjects viewing naturalistic object images drawn from ImageNet. It extends the Natural Object Dataset-fMRI (NOD-fMRI) with MEG and EEG recorded from the same subjects viewing the same stimuli. Together the modalities offer high spatial and high temporal resolution for studying object recognition. The release includes raw BIDS data, preprocessed continuous data, epochs, and detailed trial-level event tables.

Participants

31

Size

215 GB

Version

v1.0.0

Updated

Jun 27, 2026

A multi-modal face processing dataset combining simultaneously recorded MEG and EEG with structural MRI from 18 participants. Participants viewed famous, unfamiliar, and scrambled faces and made a symmetry judgment by button press. The data are a curated repackaging of the MEEG portion of ds000117, with reorganized event logs, Hierarchical Event Descriptor (HED) annotations, and EEGLAB-format EEG.

Participants

19

Citations

80

HED

v8.1.0

Size

106 GB

Version

v1.0.0

Updated

Mar 9, 2026