Discover datasets

EEG recordings of kinesthetic motor imagery of a right-hand ball squeeze at three graded force levels (10%, 40% and 70% of maximal voluntary contraction) from 10 healthy participants. Data were acquired with a 14-channel Emotiv EPOC headset at 128 Hz, with five 5-second imagery cues per 40-second recording. The dataset supports characterization and classification of motor imagery force levels for brain-computer interface research. The associated paper (Journal of Neural Engineering, 2024) is by Martinez-Peon, Garcia-Hernandez, Benavides-Bravo and Parra-Vega.

Participants

10

Channels

14 (10-10)

HED

v8.4.0

Size

54.7 MB

Version

v1.0.0

Updated

Oct 8, 2026

…Artifact-contaminated ICs (muscle and eye-related) were removed. Trials with values…

Participants

10

Channels

61 (10-05)

Citations

96

HED

v8.4.0

Size

4.51 GB

Version

v1.0.3

Updated

Oct 8, 2026

This dataset contains 62-channel EEG recordings from 18 healthy, right-handed participants performing motor imagery of eight multi-joint movements of the unilateral upper limb. The movements involve the hand, wrist, elbow and shoulder. Each participant completed 320 cue-based trials across 8 blocks, with 40 trials per class. The data support research on brain-computer interfaces for motor rehabilitation.

Participants

18

Channels

62 (10-10)

Citations

6

HED

v8.4.0

Size

50.0 GB

Version

v1.0.2

Updated

Aug 18, 2026

A multimodal dataset of high-density, dual-layer EEG, neck EMG, inertial measurement unit acceleration, T1 structural MRI, and video recorded from 25 participants playing real-world table tennis. Each participant played 60 minutes of table tennis against a ball machine and a human player, plus a 10-minute standing baseline. Processed data include ICA decompositions and dipole models, with raw data in the sourcedata folder.

Participants

25

Channels

120 (other)

Citations

25

Size

523 GB

Version

v1.0.0

Updated

Jun 24, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004561-blue…

Participants

23

Channels

62 (10-10)

Size

98.0 GB

Version

v1.0.0

Updated

Jun 24, 2026

EEG recordings from 12 healthy participants performing three-class motor imagery of the same upper extremity: rest, hand grasping, and elbow flexion. Each participant completed 4 sessions of 20 trials per class, recorded with a 32-channel EGI HydroCel net at 1000 Hz. The dataset supports research on brain-computer interface classification of imagined movements within one limb, for example for rehabilitation and motor control.

Participants

12

Channels

32 (egi-geodesic)

Citations

45

HED

v8.4.0

Size

52.0 GB

Version

v1.0.3

Updated

Aug 20, 2026

…activity of the corrugator supercilii muscle. The electrodes were placed with a…

Participants

9

Channels

8

Size

1.75 GB

Version

v1.0.0

Updated

Jun 25, 2026

Stereo-electroencephalography (SEEG) recordings from four adults with drug-resistant epilepsy performing force-matching tasks with a power grasp and a lateral pinch. Two participants also completed blocks in which they only imagined producing the force. Each block contained trials at three force targets (20, 30 and 40% of maximum voluntary contraction). Recordings were sampled at 2000 Hz and include the analog force signal, and were converted to BIDS from a Dryad deposit.

Participants

4

Size

7.19 GB

Version

v1.0.0

Updated

Oct 8, 2026

…Participants were instructed to sit still and avoid muscle tension. Black fixation…

Participants

43

Channels

128 (biosemi)

Size

38.2 GB

Version

v1.0.0

Updated

Jun 30, 2026

A NEMAR re-host and EMG-BIDS conversion of the public Meta emg2pose benchmark, pairing 2 kHz, 16-channel wrist surface electromyography with hand pose labels from a 26-camera motion-capture system. The release spans 193 users, about 370 hours, 29 behavioral stages and roughly 80 million labeled frames. It supports research on estimating hand pose from surface EMG.

Participants

193

Size

740 GB

Version

v1.0.3

Updated

Aug 31, 2026