Discover datasets

The High-gamma dataset contains 128-channel EEG recordings from 14 healthy participants performing cue-based executed movements of the left hand, right hand and feet, plus rest. It was introduced to evaluate end-to-end decoding with deep convolutional neural networks against filter bank common spatial patterns (FBCSP), and to visualize the spectral power modulations these networks learn. This version is a BIDS-formatted derivative generated with MOABB.

Participants

14

Channels

128 (10-05)

Citations

78

HED

v8.4.0

Size

31.3 GB

Version

v1.0.3

Updated

Aug 18, 2026

A longitudinal wireless subdural electrocorticography (ECoG) dataset recorded from two fully implanted Japanese macaques (Macaca fuscata). Recordings were acquired several times per week using an inductively powered wireless implant across multiple tasks, including rest, pressing, reaching, listening, and sensory evoked potentials. The data are organized according to the iEEG-BIDS specification to support reproducible neuroscience research.

Participants

2

Size

41.2 GB

Version

v1.0.0

Updated

Jun 29, 2026

Multimodal dataset of 29 participants watching six educational videos under two conditions: an attentive session with intentional learning and subsequent factual questions, and a distracted session with a silent backward-counting task. Recordings include EEG, EOG, ECG, gaze, pupil size, blinks, saccades and head position. Questionnaires (stimulus knowledge questions and the ASRS adult ADHD checklist) are provided. The dataset supports research on attention and learning from video.

Participants

29

Channels

64 (10-10)

Size

7.47 GB

Version

v1.0.0

Updated

Jun 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

This dataset provides eyes-open scalp EEG recordings acquired during intermittent photic stimulation (5 to 30 Hz in 5 Hz steps) from 36 participants with Alzheimer's disease, 23 with frontotemporal dementia, and 29 healthy controls. It complements an earlier eyes-closed resting-state dataset of the same cohort, and participant numbers match between the two. Raw and preprocessed (filtered, ASR- and ICA-cleaned) recordings are provided in BIDS format alongside clinical MMSE scores and demographics.

Participants

88

Channels

19 (10-20)

Citations

21

Size

2.11 GB

Version

v1.0.0

Updated

Jun 28, 2026

This dataset contains EEG and behavioral recordings from 120 healthy adults performing an emotion processing and regulation task with static images under sham and active transcranial direct current stimulation (tDCS) of the dorsolateral prefrontal cortex. Each participant completed two counterbalanced sessions. It includes preprocessed ERP derivatives and tDCS side-effect and blinding-effectiveness questionnaire data, and examines affective response evaluation in lonely individuals.

Participants

120

Channels

37 (10-10)

Size

53.6 GB

Version

v1.0.0

Updated

Jun 29, 2026

An open-access EEG database of imagined speech recorded from 15 healthy Spanish-speaking adults. Participants imagined 11 classes, comprising 5 Spanish vowels and 6 directional commands, while 6-channel EEG was recorded at 1024 Hz. Trials lasted 4 s with a 3 s imagery window, and the data were bandpass filtered (2-45 Hz). The dataset supports brain-computer interface and imagined speech classification research and is redistributed in BIDS format via the MOABB collection.

Participants

15

Channels

6 (10-20)

Citations

94

HED

v8.4.0

Size

2.00 GB

Version

v1.0.4

Updated

Aug 18, 2026

A multimodal EEG dataset of motor imagery (MI) recorded from 31 healthy participants over up to three sessions each. Participants imagined left- and right-hand grasping in response to visual cues while 64-channel EEG plus EOG were recorded at 1000 Hz. This is a MOABB-derived version of the Eye-BCI dataset, which also includes eye-tracking and high-speed video for ocular activity analysis across BCI paradigms.

Participants

31

Channels

66 (10-10)

Citations

13

HED

v8.4.0

Size

4.65 GB

Version

v1.0.0

Updated

Jun 3, 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 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