Discover datasets

A BIDS-formatted dataset of high-density surface EMG (HDsEMG) recordings from the right tibialis anterior of six healthy male participants. Four 64-channel grids (256 electrodes) recorded trapezoidal isometric dorsiflexion contractions at 30% and 50% of maximal voluntary contraction, together with force signals. The dataset supports studies of electrode grid design and motor unit identification.

Participants

6

Size

448 MB

Version

v1.0.1

Updated

Jun 1, 2026

…Motor-imagery EEG plus bipolar EMG, skin temperature and accelerometry from 26…

Participants

26

Channels

32 (10-10)

HED

v8.4.0

Size

3.65 GB

Version

v1.0.1

Updated

Oct 8, 2026

High-density surface EMG (HDsEMG) recordings from the right tibialis anterior of a single healthy participant performing submaximal isometric ankle dorsiflexions at 10 to 70 percent of maximal voluntary contraction. Signals were acquired with two 64-electrode arrays (128 electrodes total) alongside force measurements. The dataset includes labeled motor unit spike trains derived from concurrent invasive EMG, and supports motor unit decomposition research.

Participants

1

Size

1.34 GB

Version

v1.0.1

Updated

Jun 1, 2026

…Motor-imagery EEG plus PPG, respiration, ECG and accelerometry from 20 healthy…

Participants

20

Channels

32 (10-10)

HED

v8.4.0

Size

5.48 GB

Version

v1.0.0

Updated

Oct 8, 2026

A longitudinal brain-machine interface dataset from seven healthy adults who controlled a Rex Bionics lower-limb exoskeleton through motor imagery (walk/stop). Each participant completed nine sessions, each with an open-loop calibration training phase followed by twelve closed-loop control trials and extended 6-minute walk and stop imagery tasks. The dataset includes 60-channel EEG, EOG, IMU motion data from the head and exoskeleton, and exoskeleton control and feedback signals.

Participants

7

Channels

60

Size

3.62 GB

Version

v1.0.0

Updated

Jun 30, 2026

…capable of recording triaxial acceleration, accelerometry data were not available in the…

Participants

9

Channels

8 (10-20)

Size

29.4 MB

Version

v1.0.0

Updated

Jun 17, 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

A BIDS-formatted dataset of high-density EEG recorded concurrently with ECG, EOG, and continuous behavioral vigilance measures (compensatory tracking task) during transcranial electrical stimulation. Nine HD-tES montages targeting frontal, motor, and parietal regions with DC, 5 Hz, and 30 Hz waveforms were applied across 62 sessions with 19 participants, totaling more than 783 stimulation trials. The dataset supports study of tDCS/tACS location and frequency effects, brain state, physiology, fatigue, and cognitive performance.

Participants

25

Channels

35 (10-10)

Citations

2

Size

97.5 GB

Version

v1.0.0

Updated

Jun 22, 2026

A BIDS-formatted high-density surface EMG (HDsEMG) dataset from 16 young volunteers performing submaximal (10-80% MVC) isometric ankle dorsiflexions (tibialis anterior, n=8) or knee extensions (vastus lateralis, n=8). Signals were recorded with four 64-electrode arrays (256 channels in total) together with force signals, supporting the decomposition of extensive motor unit samples and the study of rate coding. It is a BIDS conversion of the data from Avrillon et al. 2024, produced with the MUniverse software.

Participants

16

Size

5.51 GB

Version

v1.0.1

Updated

Jun 1, 2026

Raw 64-channel EEG, electrocardiography, photoplethysmography, pupillometry and behavioral data from 86 participants during 4 minutes of eyes-closed rest and a digit span serial recall task. Participants memorized or passively listened to auditory digit sequences of 5, 9, or 13 items. The dataset supports work on cognitive load discrimination, event-related and oscillatory dynamics during encoding and maintenance, and links between working memory, central and peripheral physiology.

Participants

86

Channels

63 (10-10)

Citations

65

Size

253 GB

Version

v1.0.0

Updated

Jun 22, 2026