Discover datasets

This dataset comprises high-density, dual-layer EEG, neck EMG, IMU acceleration, T1-weighted structural MRI, and video recordings from 25 participants performing real-world table tennis. Participants engaged in 60 minutes of table tennis play with a ball machine and a human opponent, along with 10 minutes of standing baseline recording. The dataset supports investigation of neural and physiological correlates of natural, whole-body motor behavior during a dynamic real-world sport task.

Participants

25

Channels

120 (other)

Citations

25

Size

523 GB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds004849

Participants

1

Channels

64 (10-10)

Citations

4

HED

v8.1.0

Size

78.9 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.

Participants

13

Channels

31 (10-10)

Citations

46

HED

v8.4.0

Size

5.15 GB

Version

v1.0.2

Updated

Aug 18, 2026

This dataset comprises EEG recordings from twenty participants performing a temporal scaling task involving learning of three temporal intervals. Two interleaved subtasks were used: a Production task, in which participants reproduced a short, medium, or long interval, and a Perception task, in which participants judged whether a computer-generated interval matched the target duration. Visual feedback (correct/incorrect) was provided after each trial in both tasks, enabling investigation of neural correlates of temporal interval learning and evaluation.

Participants

20

Channels

37 (10-10)

Citations

5

Size

7.21 GB

Version

v1.0.0

Updated

Aug 19, 2026

The BCIT Auditory Cueing dataset comprises EEG, eye-tracking, and vehicle performance data collected during a prolonged simulated driving task designed to assess driver fatigue and cognitive state. Subjects performed two 45-minute driving conditions with either random or predictive auditory cues preceding lateral vehicle perturbations, while continuous measurements of steering behavior, reaction times, and subjective fatigue scales were recorded. This dataset extends prior driving research by examining the relationship between neural biomarkers and fatigue-related performance decrements in a controlled, high-frequency perturbation environment.

Participants

17

Channels

64 (10-10)

HED

v8.0.0

Size

20.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography recordings from 16 subjects viewing rapid serial visual presentations of gabor-like stimuli at two presentation rates (6.67 Hz and 20 Hz). Participants performed a concurrent fixation color change detection task while EEG data were acquired. The study investigates the dynamics of visual feature coding and neural mechanisms underlying perception and feature integration.

Participants

16

Citations

27

Size

69.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

Imported from OpenNeuro ds007176

Participants

45

Channels

58 (10-10)

Citations

4

Size

21.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains MEG recordings from a binocular rivalry experiment conducted in early 2014. Participants were presented with competing visual patterns while neural activity was recorded, with event markers capturing trial structure, stimulus presentations, and behavioral responses including manual tapping and perceptual reports of rivalry dominance. Anatomical MRI data is also included for each participant.

Participants

11

Size

81.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

This EEG dataset investigates how diffuse (categorical) predictions about stimulus orientation shape neural representations during memory encoding. Participants performed an orientation working-memory task in which a central color cue indicated whether an upcoming grating's orientation was drawn from a predictable 90° range or was fully unpredictable, and later judged whether a probe was rotated clockwise or counterclockwise relative to the memorized orientation. The study examines how predictive information stabilizes and reshapes neural codes for encoded visual features.

Participants

47

Channels

66 (10-10)

Size

145 GB

Version

v1.0.0

Updated

Aug 18, 2026