Discover datasets

A multi-distance, high-density fNIRS dataset recorded over the motor cortex with a lightweight system that includes an accelerometer. Participants completed a resting-state recording, a bilateral ball-squeezing task, and a motion creation task with instructed head and facial movements to deliberately induce motion artifacts. The dataset supports work on short-separation regression, motion artifact correction, and diffuse optical tomography image reconstruction.

Participants

12

Size

572 MB

Version

v1.0.0

Updated

Jun 19, 2026

…percent units, no decimals) ## Signal Processing **Note**: This dataset has significant data…

Participants

100

Size

24.9 GB

Version

v2.0.0

Updated

Feb 23, 2026

A multi-modal dataset of 32-channel dry-electrode EEG recorded together with Virtual Glove hand-kinematic tracking during motor imagery and motor execution of three right-hand movements (open/close, wrist rotation, finger tapping). Eleven healthy participants completed a rest, motor imagery, motor execution sequence with eight repetitions of the triplet. This BIDS re-release was produced via MOABB from the published MOVING dataset.

Participants

11

Channels

32 (10-10)

HED

v8.4.0

Size

411 MB

Version

v1.0.0

Updated

Oct 8, 2026

This dataset contains multimodal recordings from an n-back cognitive workload task with four difficulty levels (1-back to 4-back). It includes 19-channel mobile EEG, ECG, and Pupil Labs eye-tracking and pupillometry data, synchronized with Lab Streaming Layer. Twenty participants were recorded and 18 are released, with two excluded for data quality failures. The data were converted from XDF to BIDS.

Participants

18

Channels

19 (10-20)

Size

2.13 GB

Version

v1.0.0

Updated

Jun 30, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003703-blue…

Participants

34

Size

195 GB

Version

v1.0.0

Updated

Jun 22, 2026

…60 trials of a simple processing speed task, 80 trials of a…

Participants

45

Channels

139 (other)

Size

202 GB

Version

v1.0.0

Updated

Jun 24, 2026

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

…EEG) neuroimaging dataset on face processing Please cite the following reference if…

Participants

17

Citations

82

Size

169 GB

Version

v1.0.0

Updated

Mar 8, 2026

PhysioMotion_Artifact is an EEG dataset organized in BIDS format, apparently intended to characterize physiological and motion-related artifacts in electroencephalographic recordings. It is distributed via OpenNeuro and NEMAR. The README provides little detail about the participants or recording protocol.

Participants

30

Channels

59 (10-10)

Size

36.2 GB

Version

v1.0.0

Updated

Jun 28, 2026

…The current rate was indicated through a processing queue, on the extreme…

Participants

27

Channels

256 (biosemi)

Citations

25

HED

v8.0.0

Size

67.6 GB

Version

v1.0.0

Updated

Jun 23, 2026