Discover datasets

This dataset comprises high-density, dual-layer EEG, neck EMG, IMU acceleration, ground reaction force, and structural MRI-derived head model data from 32 young adult participants walking over uneven terrain and at varying speeds. Each participant completed two three-minute trials per condition along with a seated rest trial. The dataset is designed to support research on the neural and biomechanical correlates of walking balance and gait adaptation on irregular surfaces.

Participants

32

Channels

120 (other)

Citations

3

Size

62.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises preprocessed EEG recordings from 16 native French-speaking participants performing a forced picture naming task. Participants viewed images from the Snodgrass & Vanderwart corpus and were required to name them while EEG activity was recorded across baseline, visual stimulation, and naming phases. The dataset contains 270 trials per subject and was used to characterize spatiotemporal dynamics in EEG data using optical flow pattern analysis. Note: 16 participants represent the final cohort after 4 exclusions from an initial 20 subjects due to hardware failure.

Participants

16

Channels

99 (10-05)

Citations

3

Size

8.79 GB

Version

v1.0.0

Updated

Jul 10, 2026

…the left and right index fingers of participants. Triggers S1-8 are…

Participants

11

Channels

63 (10-10)

Citations

4

Size

22.0 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises high-density, dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, and ground reaction force recordings collected from older adults walking over uneven terrain at varying speeds. Each participant completed multiple walking trials under different conditions as well as a seated rest trial, with digitized electrode locations provided. The dataset supports research into the neural and biomechanical mechanisms underlying balance and gait control during complex locomotion in aging populations.

Participants

71

Channels

120 (other)

Citations

1

Size

130 GB

Version

v1.0.0

Updated

Aug 19, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005397-blue…

Participants

26

Channels

64 (other)

Citations

1

Size

12.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

…relax without movement. MI-GRASP: imagine opening and closing all fingers to…

Participants

12

Channels

32 (egi-geodesic)

Citations

44

HED

v8.4.0

Size

52.0 GB

Version

v1.0.3

Updated

Aug 20, 2026

…rhythm without speaking or using finger movements. The dataset stores the last…

Participants

36

Channels

20 (10-20)

Citations

88

Size

174 MB

Version

v1.0.0

Updated

Jul 10, 2026

…Participants’ movements were unconstrained, i.e., in order to follow the sphere…

Participants

20

Channels

160 (other)

Citations

39

Size

61.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises mobile EEG recordings from 18 participants performing three experimental tasks in outdoor settings: eyes open/closed standing, an oddball task during standing and walking conditions, and synchronized walking with an experimenter. Participants completed sessions using both active and passive electrode configurations in counterbalanced order. The study investigates neural correlates of postural control, auditory attention, and interpersonal motor synchronization in naturalistic environments.

Participants

18

Channels

64 (10-05)

Citations

1

Size

19.8 GB

Version

v1.0.0

Updated

Jul 10, 2026

…upper limb movements, EEG, motor imagery, movement execution, low-frequency, time-domain…

Participants

15

Channels

61 (10-05)

Citations

94

HED

v8.4.0

Size

34.0 GB

Version

v1.0.3

Updated

Aug 18, 2026