Discover datasets

This dataset contains laser-evoked potential recordings capturing neural responses in the human spinal cord and cortex following nociceptive laser stimulation. It was collected to investigate the neurophysiological processing of pain-related signals across spinal and cortical levels. The dataset is organized according to the BIDS standard for electrophysiological data.

Participants

7

Channels

72 (other)

Size

18.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

…Raw data are BrainVision (.vhdr/.vmrk/.eeg). Task: visual Session: ses-01…

Participants

31

Channels

64

Citations

1

Size

17.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

The BCIT Mind Wandering dataset comprises electroencephalography (EEG), eye tracking, and vehicle performance data collected during prolonged simulated driving tasks designed to assess fatigue-related biomarkers and driver performance under different cognitive load conditions. Participants performed 30-minute driving scenarios with three types of background audio (task-relevant, non-task-relevant, and internal focus) while responding to vigilance tasks and managing vehicle perturbations. This dataset extends prior driving research by incorporating extended time-on-task measurements and novel audio manipulations to investigate the relationship between brain activity, mind wandering, and driving performance.

Participants

21

Channels

64 (10-10)

Citations

32

HED

v8.0.0

Size

23.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Surface electroencephalography is a standard and noninvasive way to measure electrical brain…

Participants

10

Citations

73

Size

24.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

…EEG was recorded with a 64-channel BrainVision cap. Resting-state EEG…

Participants

149

Channels

63 (10-10)

Citations

14

Size

2.87 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings from 50 acute stroke patients (1-30 days post-stroke) performing motor imagery tasks of left- and right-handed hand-grip movements. Recorded using a wireless 29-channel EEG system at 500 Hz, the dataset includes raw and preprocessed data, representing the first open resource addressing left- and right-handed motor imagery in the acute stroke population. The dataset supports brain-computer interface (BCI) algorithm development and clinical rehabilitation applications.

Participants

50

Channels

29 (10-10)

Citations

78

HED

v8.4.0

Size

1.15 GB

Version

v1.0.3

Updated

Aug 18, 2026

…Data collected 2016-2018 in the Center for Brain Recovery and Repair…

Participants

91

Channels

65 (10-10)

Citations

25

Size

56.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

…brain-computer interface, motor imagery, EEG, Riemannian geometry, asynchronous BCI, brain-switch…

Participants

8

Channels

16 (10-20)

HED

v8.4.0

Size

232 MB

Version

v1.0.2

Updated

Aug 18, 2026

…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…

Participants

11

Channels

63 (10-10)

Citations

4

Size

22.0 GB

Version

v1.0.0

Updated

Aug 19, 2026

A multi-joint upper-limb motor imagery EEG dataset comprising 18 healthy subjects performing eight distinct imagery tasks involving hand, wrist, elbow, and shoulder movements. The dataset contains 320 trials per subject acquired at 1000 Hz using 62-channel EEG with visual cue-based paradigm, designed for brain-computer interface research and motor rehabilitation applications.

Participants

18

Channels

62 (10-10)

Citations

4

HED

v8.4.0

Size

50.0 GB

Version

v1.0.2

Updated

Aug 18, 2026