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This dataset provides a BIDS-standardized version of simultaneously collected EEG and eye-tracking data from one subject, derived from the larger EEGEyeNet dataset. It supports research on eye movement prediction from electroencephalography and eye-tracking signals, following an established paradigm designed for benchmarking EEG-based eye movement decoding.

Participants

1

Channels

129 (egi-geodesic)

Citations

7

Size

43.6 MB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds007315

Participants

2

Channels

32 (10-10)

Citations

1

Size

1.09 GB

Version

v1.0.0

Updated

Jul 10, 2026

Imported from OpenNeuro ds004850

Participants

1

Channels

64 (10-10)

Citations

1

HED

v8.1.0

Size

78.9 MB

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

This dataset contains 64-channel EEG recordings from 36 participants performing a visual tilt illusion task, in which the perceived orientation of a central grating was biased by a surrounding annular grating. The study examines how prestimulus alpha oscillation power and phase relate to discrimination performance and the magnitude of the tilt illusion. Data were collected to support investigations into the neural correlates of perceptual bias in orientation discrimination.

Participants

36

Channels

64

Citations

1

Size

83.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains intracranial EEG (iEEG) recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.

Participants

1

Citations

4

Size

1.36 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset is a BIDS-standardized version of simultaneously collected EEG and eye-tracking data from one subject, derived from the larger EEGEyeNet dataset. It provides a resource for studying the relationship between neural activity and eye movements, supporting benchmarking of eye movement prediction models. The data were originally collected as part of a study approved by the Institutional Review Board of Canton Zurich.

Participants

1

Channels

129 (egi-geodesic)

Citations

8

Size

45.0 MB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains EEG recordings collected to characterize visual fatigue induced by mixed reality stereo vision. Participants viewed resting and movement scenes designed to elicit varying degrees of visual fatigue while EEG was recorded from 24 scalp electrodes. The dataset supports both resting-state and task-state EEG analyses related to fatigue characterization under stereoscopic visual stimulation.

Participants

23

Channels

64 (10-10)

Size

21.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises synchronized electroencephalogram (EEG), electrocardiogram (ECG), and pupillography recordings from 75 participants (36 young and 39 older adults) during auditory cued reaction time tasks and passive listening conditions. Participants performed a simple reaction time task and a go/no-go task, with EEG acquired at 500 Hz using 64 scalp electrodes, ECG recorded bipolarly from chest electrodes, and pupil data sampled at 240 Hz. The dataset is designed to investigate age-related differences in neural, cardiac, and pupillary responses during cognitive and perceptual decision-making tasks.

Participants

75

Channels

61 (10-10)

Citations

30

Size

21.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 15 healthy participants performing reach-and-grasp motor imagery tasks using three different electrode systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with 7200 total trials. Participants executed palmar grasp (toward glass) and lateral grasp (toward spoon) actions. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.

Participants

45

Channels

58 (10-05)

Citations

51

HED

v8.4.0

Size

8.67 GB

Version

v1.0.3

Updated

Aug 18, 2026