Discover datasets

This dataset contains raw neuroimaging recordings collected with the Visual Attribute-Specific Contextual Trajectory Paradigm 2.0. The paradigm is used to study how the brain generates domain-general visual surprise signals and how their latency depends on the visual attribute that is violated. It accompanies a pre-print on attribute-dependent latency of visual surprise signals.

Participants

35

Citations

1

Size

11.4 GB

Version

v1.0.0

Updated

Jun 29, 2026

…the EEG and (soon-released) Eye-Tracking Section of the Child Mind…

Participants

430

Channels

129 (egi-geodesic)

Citations

22

Size

219 GB

Version

v1.0.0

Updated

May 25, 2026

EEG dataset from the PURSUE project of a face perception task designed to elicit the N170 event-related potential. Data were collected from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia during 2017 and 2018. The task follows the ERP CORE paradigm, and the dataset includes participant race information.

Participants

292

Channels

32 (10-10)

Size

11.6 GB

Version

v1.0.0

Updated

Jun 3, 2026

…the EEG and (soon-released) Eye-Tracking Section of the Child Mind…

Participants

381

Channels

129 (egi-geodesic)

Citations

21

HED

v8.3.0

Size

245 GB

Version

v1.0.0

Updated

May 25, 2026

Mobile EEG dataset from 15 healthy young adults who stood still and walked on a treadmill at 0.4, 0.8, 1.2, and 1.6 m/s while viewing a static projected scene through liquid crystal lenses that alternated between transparent and opaque states. The study examines how electrocortical responses to intermittent visual occlusions, in particular alpha synchronization, change with gait speed. It includes 120-channel scalp EEG, noise electrodes, neck EMG, insole ground reaction forces, and lower-back IMU data.

Participants

15

Channels

120 (other)

Size

3.31 GB

Version

v1.0.0

Updated

Jun 30, 2026

…the EEG and (soon-released) Eye-Tracking Section of the Child Mind…

Participants

330

Channels

129 (egi-geodesic)

Citations

22

HED

v8.3.0

Size

224 GB

Version

v1.0.0

Updated

May 25, 2026

…the EEG and (soon-released) Eye-Tracking Section of the Child Mind…

Participants

184

Channels

129 (egi-geodesic)

Citations

21

HED

v8.3.0

Size

139 GB

Version

v1.0.0

Updated

May 25, 2026

A multi-modal face processing dataset combining simultaneously recorded MEG and EEG with structural MRI from 18 participants. Participants viewed famous, unfamiliar, and scrambled faces and made a symmetry judgment by button press. The data are a curated repackaging of the MEEG portion of ds000117, with reorganized event logs, Hierarchical Event Descriptor (HED) annotations, and EEGLAB-format EEG.

Participants

19

Citations

80

HED

v8.1.0

Size

106 GB

Version

v1.0.0

Updated

Mar 9, 2026

…the EEG and (soon-released) Eye-Tracking Section of the Child Mind…

Participants

150

Channels

129 (egi-geodesic)

Citations

21

HED

v8.3.0

Size

112 GB

Version

v1.0.0

Updated

May 25, 2026

EEG recordings from 15 healthy participants performing a visual P300 oddball task while walking on a treadmill at 1.6 m/s, released as BCI Competition 2020 Track 5. The dataset combines 46-channel scalp EEG, 14-channel ear-EEG, 4 EOG channels, and 6 inertial measurement unit channels. It is designed to evaluate brain-computer interface performance under ambulatory conditions, with trials divided temporally into training, validation, and test sets.

Participants

15

Channels

46 (10-10)

HED

v8.4.0

Size

224 MB

Version

v1.0.4

Updated

Oct 8, 2026