Discover datasets

A large, longitudinal EEG dataset collected while 62 healthy adults learned to control a sensorimotor rhythm-based brain-computer interface. Participants completed 7-11 online training sessions of continuous cursor control using motor imagery of the left hand, right hand, both hands, and rest. In total the dataset comprises 598 sessions and over 250,000 trials, offering a resource for designing and evaluating BCI algorithms and for studying BCI learning.

Participants

62

Channels

60 (10-10)

Citations

63

HED

v8.4.0

Size

722 GB

Version

v1.0.4

Updated

Aug 18, 2026

A single-pulse, open-loop transcranial magnetic stimulation (TMS) dataset with simultaneous electroencephalography (EEG) recordings. The dataset is organized in BIDS format and mirrored on NEMAR from OpenNeuro (ds002094).

Participants

20

Channels

30 (10-10)

Size

39.4 GB

Version

v1.0.0

Updated

Jun 21, 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

Release 3 of the HBN-EEG dataset, the EEG component of the Child Mind Institute Healthy Brain Network project, organized in BIDS format. It contains EEG recordings and behavioral responses from 183 children and young people performing three passive tasks (resting state, surround suppression, movie watching) and three active tasks (contrast change detection, sequence learning, symbol search). Events carry HED annotations, and the participants file includes quality-control results and psychopathology factors derived from the CBCL questionnaire.

Participants

184

Channels

129 (egi-geodesic)

Citations

21

HED

v8.3.0

Size

139 GB

Version

v1.0.0

Updated

May 25, 2026

This dataset contains simultaneously recorded EEG and fMRI data from 22 adults aged 23 to 51 years, collected at the Nathan Kline Institute while participants watched naturalistic video stimuli. It also includes eye tracking, physiological (respiration) recordings, demographic information, and behavioral measures such as sleep and caffeine intake. The goal is to investigate the relationship between electrical brain activity and hemodynamic fluctuations.

Participants

22

Channels

61 (10-10)

Citations

45

Size

256 GB

Version

v1.0.0

Updated

Jun 8, 2026

EEG recordings from 9 healthy, BCI-naive participants performing two-class motor imagery (left vs. right hand), known as BCI Competition IV Dataset 2b (Graz data set B). Each participant completed five sessions: two screening sessions without feedback and three sessions with smiley feedback. Three bipolar EEG channels (C3, Cz, C4) were recorded at 250 Hz. This deposit is a MOABB-derived BIDS conversion of the original data.

Participants

9

Channels

3 (10-20)

Citations

83

HED

v8.4.0

Size

663 MB

Version

v1.1.0

Updated

Oct 15, 2026

Neuma is a multimodal neuromarketing dataset from 42 participants who browsed supermarket advertising brochures and selected the products they intended to buy. It combines EEG, eye tracking, questionnaire responses (demographic, profiling and product-related) and computer mouse data. The dataset supports research on consumer behavior and decision-making.

Participants

42

Channels

24 (10-20)

Size

602 MB

Version

v1.0.0

Updated

May 13, 2026

A sample intracranial EEG (iEEG) dataset prepared for the WIRED ICM course on intracranial recordings in humans, epilepsy, and deep brain stimulation (Paris, March 2024). It contains recordings from patients with epilepsy during naturalistic listening tasks (movie trailers and TIMIT sentences). It also includes illustrative examples of seizure-related activity and vagus nerve stimulator artifact.

Participants

3

Size

348 MB

Version

v1.0.0

Updated

Jun 26, 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

Release 4 of the HBN-EEG dataset, the EEG section of the Child Mind Institute Healthy Brain Network project, organized in BIDS format. It contains EEG recordings and behavioral responses from 324 participants aged 5-21 years performing three passive tasks (resting state, surround suppression, movie watching) and three active tasks (contrast change detection, sequence learning, symbol search). Events carry HED annotations, and the participants file includes quality control results and psychopathology-related factors derived from the CBCL.

Participants

324

Channels

129 (egi-geodesic)

Citations

21

HED

v8.3.0

Size

230 GB

Version

v1.0.0

Updated

May 25, 2026