Discover datasets

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

…SSVEP, ERP, mobile BCI, ear-EEG, locomotion ## References Appelhoff, S., Sanderson, M…

Participants

24

Channels

48 (10-10)

Citations

36

HED

v8.4.0

Size

8.08 GB

Version

v1.0.3

Updated

Oct 8, 2026

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

…SSVEP, ERP, mobile BCI, ear-EEG, locomotion ## References Appelhoff, S., Sanderson, M…

Participants

23

Channels

73 (other)

Citations

36

HED

v8.4.0

Size

1.31 GB

Version

v1.0.2

Updated

Aug 18, 2026

A mobile brain/body imaging (MoBI) dataset of 18 participants walking on a treadmill at constant speed while stepping in time to an auditory tone sequence. Participants adapted step length and rate to occasional shifts in the tempo of the pacing stimulus, to a faster or slower tempo. The dataset supports study of cortical dynamics during gait adaptation.

Participants

20

Channels

108 (10-05)

Size

32.0 GB

Version

v1.0.0

Updated

Jun 20, 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

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

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

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 dataset from Experiment 1 of a study on whether capacity for movement is an organisational principle in visual object representations. Twenty-four participants viewed images of moving or non-moving, natural or artificial objects, completing a time-pressured aliveness classification task and a passive RSVP viewing task with a fixation-colour detection response. The release includes raw BrainVision EEG, preprocessed EEGLAB and CoSMoMVPA data, decoding results, analysis code, and 400 CC0 stimulus images.

Participants

24

Citations

18

Size

82.2 GB

Version

v1.0.0

Updated

Jun 22, 2026