Discover datasets

EEG recordings from 21 participants learning to play two drumming patterns at three tempos (fast, medium, slow) by pressing keys on a standard keyboard. Each key press triggered visual feedback indicating whether the response was early, on time, or late, with the timing window adapted trial by trial so that about half of responses were on time. The dataset supports study of feedback-based motor timing and learning.

Participants

21

Channels

31 (10-10)

Citations

2

Size

4.77 GB

Version

v1.0.0

Updated

Jun 23, 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

…1-4 Hz - Theta (θ): 4-8 Hz - Alpha (α): 8-13…

Participants

140

Channels

128 (other)

Size

8.13 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains intracranial EEG (stereo-EEG) recordings acquired during 41 high-frequency electrical cortical stimulations that evoked negative motor responses. Data come from 23 patients undergoing presurgical evaluation for drug-resistant epilepsy. Each recording spans about 24 seconds around a stimulation and includes pre- and post-stimulation 5-second epochs, which were used for connectivity analysis. Stimulation contact pairs, current intensities and evoked effects are annotated in the events files.

Participants

21

Size

1.04 GB

Version

v1.0.0

Updated

Jun 29, 2026

…Data collected from 2019-2021 in Cognitive Rhythms and Computation Lab at…

Participants

50

Channels

66 (10-10)

Citations

1

Size

9.81 GB

Version

v1.0.0

Updated

Jun 24, 2026

EEG recordings from twenty healthy right-handed adults exposed to tendon vibration of the left elbow, designed to separate the percept of illusory movement from plain vibratory sensation. Sixteen sensorimotor electrodes were recorded while biceps and triceps tendons were vibrated at 90/50 Hz (illusion of elbow extension) or both at 70 Hz (control, no illusion). Each participant completed three blocks of 72 randomized three-second stimulations.

Participants

20

Channels

16 (10-10)

Citations

16

Size

664 MB

Version

v1.0.2

Updated

Oct 8, 2026

EEG recordings from musicians listening to three-chord progressions in an auditory oddball-style paradigm. Standard progressions were interspersed with exemplar deviants (different chord inversion) and function deviants (different harmonic function of the middle chord). The dataset supports investigation of how improvisational experience relates to the categorization of musical structures.

Participants

40

Channels

64 (10-10)

Citations

43

Size

36.1 GB

Version

v1.0.0

Updated

Jun 22, 2026

EEG recordings from 27 normal-hearing adults listening to original monophonic music and 'chimeric' music, in which the pitch contours and note onset times of two melodies are exchanged. This distorts musical pattern while preserving the marginal pitch and timing statistics. The dataset supports investigation of pitch-time interactions in the electrophysiological encoding of music. It includes a click-train phase and a music phase with 33 trials per stimulus type.

Participants

27

Channels

34 (10-10)

Size

193 GB

Version

v1.0.0

Updated

Jun 29, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003694-blue…

Participants

28

Citations

3

Size

218 GB

Version

v1.0.0

Updated

Jun 22, 2026

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