Discover datasets

A multi-subject, multi-modal neuroimaging dataset on face processing, combining structural MRI, fMRI, MEG and EEG from 16 healthy volunteers. Each participant was scanned once with MRI and once with MEG while viewing famous, unfamiliar and scrambled faces. Faces were shown as initial presentations, immediate repeats or delayed repeats (a 3x3 design), and participants made a symmetry judgment on each stimulus with a button press. The dataset has been used for multimodal integration methods, connectivity modelling and decoding competitions.

Participants

17

Citations

112

Size

83.9 GB

Version

v2.0.0

Updated

Nov 9, 2026

This dataset contains longitudinal resting-state EEG recordings from 43 healthy adults across four sessions spanning about two years, with an average inter-session interval of 7.2 months. It was collected to evaluate the test-retest reliability of EEG measures processed with an automated pipeline combining independent component analysis and wavelet-enhanced artifact removal. The data support analyses of neural components, relative power in regions of interest, and the longitudinal stability of quantitative EEG.

Participants

45

Channels

58 (10-10)

Citations

6

Size

21.1 GB

Version

v1.0.0

Updated

Mar 8, 2026

This dataset contains multimodal recordings from 18 participants performing a mental arithmetic task across eight levels of difficulty, designed to study cognitive workload. It includes 19-channel EEG, ECG, and Pupil Labs eye-tracking (pupillometry) data synchronized via Lab Streaming Layer and converted to BIDS from XDF recordings. Task events encode difficulty ranges based on Q-values, with a 60-second baseline followed by 70 randomized questions.

Participants

18

Channels

19 (10-20)

Citations

3

Size

1.92 GB

Version

v1.0.0

Updated

Mar 4, 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

92

Size

152 MB

Version

v1.0.0

Updated

Mar 3, 2026

NEMAR Dataset nm000103: HBN-EEG NC - Healthy Brain Network EEG data

Participants

447

Channels

129 (egi-geodesic)

HED

v8.3.0

Size

250 GB

Version

v2.0.0

Updated

Feb 23, 2026

NEMAR Dataset nm000107: wrist - Wrist movement control from EMG

Participants

100

Size

24.9 GB

Version

v2.0.0

Updated

Feb 23, 2026

NEMAR Dataset nm000106: handwriting - Handwriting movement detection from EMG

Participants

100

Size

45.3 GB

Version

v2.0.0

Updated

Feb 23, 2026

NEMAR Dataset nm000105: discrete_gestures - Discrete hand gesture detection from EMG

Participants

100

Size

20.6 GB

Version

v2.0.0

Updated

Feb 23, 2026

NEMAR Dataset nm000104: emg2qwerty - EMG-based typing detection

Participants

108

Citations

1

Size

223 GB

Version

v2.0.0

Updated

Feb 23, 2026

A BIDS-formatted release of the Hyser high-density surface electromyogram (HD-sEMG) dataset. It contains 256-channel forearm EMG with simultaneous five-finger force recordings from 20 right-handed participants across two sessions. Tasks include 34 hand gestures, maximum voluntary contraction, and single-finger, multi-finger and random force-tracking tasks, supporting gesture recognition and force decoding research.

Participants

20

Size

108 GB

Version

v1.0.1

Updated

Feb 20, 2026