Discover datasets

The MNE-Sample-Data dataset is a simultaneous MEG and 60-channel EEG recording with an accompanying structural MRI, distributed with the MNE software. Checkerboard patterns were presented to the left and right visual fields, interleaved with tones to the left or right ear, and the subject responded to occasional smiley faces. It serves as a standard example dataset for demonstrating MEG/EEG analysis workflows, and FreeSurfer-derived anatomical surfaces are included.

Participants

2

Size

1.93 GB

Version

v1.0.0

Updated

Jun 20, 2026

A multimodal dataset of human balance during beam walking and standing on a treadmill-mounted balance beam. It includes synchronized 128-channel EEG, lower leg and neck EMG, EOG, and motion capture. Participants were exposed to visual field rotations in virtual reality or physical side-to-side waist pulls, which allows electrocortical and muscular responses to sensorimotor perturbations to be compared.

Participants

30

Channels

128 (biosemi)

Citations

165

Size

10.9 GB

Version

v1.0.0

Updated

Jun 19, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005107-blue…

Participants

21

Size

27.6 GB

Version

v1.0.0

Updated

Jun 26, 2026

Stereo-EEG (intracerebral) recordings from 28 patients with refractory epilepsy during fast periodic visual stimulation, with natural object images presented at 6 Hz and faces as every fifth image (1.2 Hz) in the periodic condition, or at random positions in a non-periodic control condition. The dataset is a derivative release of the authors' Letswave files, low-pass filtered at 30 Hz and segmented into sequences, repackaged in BIDS (BrainVision) format. It supports mapping of face-selective responses in the human ventral occipito-temporal cortex.

Participants

28

Size

5.39 GB

Version

v1.0.0

Updated

Oct 8, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005286-blue…

Participants

30

Channels

32 (10-10)

Size

19.4 GB

Version

v1.0.0

Updated

Jun 18, 2026

EEG dataset from 19 participants performing a visual P300 speller-like paradigm to assess how visual stimulus properties affect evoked responses and classification accuracy. Each participant completed three sessions with conditions varying the number of stimuli (4 to 9) and the flash type (standard flash versus a superimposed yellow smiling cartoon face). Recordings comprise 382 files from eight electrodes sampled at 256 Hz, with markers encoding trial phases and activated symbols.

Participants

19

Channels

9 (10-10)

Citations

1

Size

1.27 GB

Version

v1.0.0

Updated

May 13, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005292-blue…

Participants

142

Channels

64 (10-10)

Size

116 GB

Version

v1.0.0

Updated

Jun 18, 2026

This dataset contains EEG recordings from 24 pairs of participants performing a 4-way categorisation task based on rules they first agreed upon together. Participants also completed pre- and post-tests on the same stimuli. The data were collected to investigate how collaborative rule learning promotes information alignment between interacting brains.

Participants

24

Citations

6

Size

62.2 GB

Version

v1.0.0

Updated

Jun 29, 2026

…Face perception The N170 was elicited in a face perception task modified…

Participants

40

Channels

30 (10-10)

Citations

162

HED

v8.4.0

Size

17.5 GB

Version

v1.1.1

Updated

Apr 4, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005289-blue…

Participants

39

Channels

64 (10-10)

Size

22.1 GB

Version

v1.0.0

Updated

Jun 20, 2026