Discover datasets

A multimodal mobile brain/body imaging dataset from 32 young adults walking over uneven terrain at different speeds. It includes high-density dual-layer EEG, neck EMG, IMU acceleration, ground reaction forces, and head models built from T1-weighted MR images. Each participant also completed a seated rest trial, and digitized electrode locations are provided for every subject.

Participants

32

Channels

120 (other)

Size

62.5 GB

Version

v1.0.0

Updated

Jun 25, 2026

…neuroprosthesis, robotic arm control, upper limb restoration - **Environment**: laboratory - **Online feedback**: True…

Participants

10

Channels

60 (10-05)

Citations

20

HED

v8.4.0

Size

7.38 GB

Version

v1.0.3

Updated

Aug 18, 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

…amputees with phantom limb pain, amputees without phantom limb pain, and intact…

Participants

38

Channels

63 (10-10)

Size

64.9 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains high-density, dual-layer EEG recorded together with neck EMG, inertial measurement unit acceleration, and ground reaction force from older adults walking over uneven terrain at different speeds. Each participant completed two three-minute trials per walking condition plus a three-minute seated rest trial. Digitized electrode locations are provided for each subject.

Participants

71

Channels

120 (other)

Size

130 GB

Version

v1.0.0

Updated

Jun 28, 2026

EEG recordings from healthy participants performing self-initiated palmar and lateral reach-and-grasp actions, acquired simultaneously across three recording systems: gel-based laboratory EEG, water-based mobile EEG, and dry-electrode mobile EEG. The dataset supports investigation of the feasibility of decoding natural reach-and-grasp movement-related cortical potentials across EEG acquisition modalities for brain-computer interface applications. It is distributed in BIDS format as part of the MOABB benchmark collection.

Participants

45

Channels

58 (10-05)

Citations

50

HED

v8.4.0

Size

8.67 GB

Version

v1.0.4

Updated

Oct 8, 2026

…2025 Lower-limb MI dataset for knee pain patients from Zuo et…

Participants

30

Channels

30 (10-10)

Citations

3

HED

v8.4.0

Size

19.4 GB

Version

v1.0.2

Updated

Aug 18, 2026

Mobile brain/body imaging (MoBI) dataset of scalp EEG recorded during split-belt treadmill walking to study cortical activity related to locomotor adaptation. Thirty participants completed abrupt and gradual split-belt walking paradigms with a 2:1 belt speed ratio.

Participants

30

Channels

122 (other)

Citations

34

Size

113 GB

Version

v1.0.0

Updated

Jun 18, 2026

…motor_imagery_same_limb - **Number of classes**: 2 - **Class labels**: right_hand…

Participants

25

Channels

62 (10-10)

Citations

51

HED

v8.4.0

Size

53.8 GB

Version

v1.0.2

Updated

Aug 18, 2026

Simultaneous electroencephalography (EEG), electrospinography (ESG), electroneurography (ENG) and electromyography (EMG) recordings from 26 participants, together with electrocardiographic and respiratory signals. Somatosensory evoked potentials were elicited by mixed nerve stimulation (median and tibial nerves) and sensory nerve stimulation of fingers and toes, alongside a resting-state condition with eyes open. ESG electrode positions are provided for each participant. The study was pre-registered on OSF.

Participants

26

Channels

39 (other)

Citations

1

Size

377 GB

Version

v1.0.0

Updated

Jun 24, 2026