Discover datasets

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

Intracranial EEG (stereo-EEG) recordings from 22 patients with drug-resistant epilepsy undergoing presurgical evaluation, capturing responses to 115 high-frequency intracranial electrical stimulations that evoked visual hallucinations. Each recording spans 21 seconds around the stimulation, with events annotated by stimulated contact pair, current intensity, and evoked effect, classified into 14 clinical categories. The data support identification of brain networks underlying visual symptoms and creation of symptom-related activation and connectivity maps.

Participants

20

Size

4.03 GB

Version

v1.0.0

Updated

Jun 26, 2026

Open-loop EEG dataset of kinesthetic motor imagery of ankle dorsiflexion/plantarflexion alternated with relaxation, recorded from six healthy participants. Each participant completed two sessions, one with a static and one with a moving lower-limb exoskeleton. The recordings contain 28 EEG channels and 4 EOG channels sampled at 250 Hz. This is a BIDS re-release of the Zenodo deposit, produced via MOABB.

Participants

6

Channels

28 (10-10)

HED

v8.4.0

Size

2.88 GB

Version

v1.0.0

Updated

Oct 8, 2026

The EEG Moments Dataset (EMD) contains EEG responses from 6 human subjects viewing 1,102 naturalistic 3-second videos presented with their audio tracks. Each subject viewed the 1,000-video training set 6 times and the 102-video testing set 24 times. Eye tracking data (gaze and pupil size) were recorded during the experiment. The videos carry human annotations for objects, scenes, actions, sentence descriptions, spoken transcriptions, and memorability. EMD is the EEG companion to the BOLD Moments fMRI dataset.

Participants

6

Citations

1

Size

210 GB

Version

v1.0.0

Updated

Sep 8, 2026

Electroencephalography recordings from 50 participants viewing 22,248 images spanning 1,854 object concepts from the THINGS database. Images were shown in rapid serial visual presentation streams at 10 Hz while participants performed an orthogonal fixation colour change detection task. The dataset supports research on the temporal dynamics of object recognition and visual representation in the human brain.

Participants

50

Channels

63

Citations

3

Size

55.3 GB

Version

v1.0.0

Updated

Mar 14, 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 EEG recordings from 7 participants performing an auditory imagery task, in which they imagined the sounds made by objects from the semantic categories of animals and tools for 5 seconds. It supports research on semantic decoding and brain-computer interfacing. Recordings were made with a 64-channel BioSemi system, with additional EOG, physiological, and respiration channels.

Participants

7

Channels

64 (10-10)

Size

12.7 GB

Version

v1.0.0

Updated

Jun 24, 2026

This dataset contains 16-channel electroencephalographic recordings from 12 healthy participants who listened to harpsichord music while fixating on a visual marker, with and without a passive head-mounted display (a headset containing no electronics apart from a smartphone). Each participant completed ten one-minute eyes-open blocks, five with the smartphone switched on and five with it switched off, in randomized order. The data were collected in a pilot experiment at GIPSA-lab, Grenoble, in 2017 to assess the impact of passive VR headsets on EEG signal quality.

Participants

12

Channels

16 (10-10)

Citations

17

HED

v8.4.0

Size

516 MB

Version

v1.0.5

Updated

Aug 18, 2026

EEG recordings from fifteen healthy participants who executed and imagined six sustained upper limb movements (elbow flexion/extension, forearm supination/pronation, hand open/close) plus a rest condition, in two separate sessions. The dataset supports decoding of single upper limb movements from the time-domain of low-frequency EEG. It is relevant to non-invasive control of motor neuroprostheses and robotic arms. This BIDS version was generated from the original BNCI Horizon 2020 data using MOABB.

Participants

15

Channels

61 (10-05)

Citations

93

HED

v8.4.0

Size

34.0 GB

Version

v1.0.3

Updated

Aug 18, 2026

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