Discover datasets

EEG dataset investigating the neural time course of spontaneous face perception, including face pareidolia. Participants viewed 300 images of human faces, illusory faces, and matched non-face objects presented centrally at 3.75 Hz while performing an orthogonal target detection task. The study also involved behavioural tasks (odd-one-out dissimilarity, face-likeness ratings, and face/object categorisation) using the same stimuli.

Participants

21

Citations

1

Size

32.0 GB

Version

v1.0.0

Updated

Jun 18, 2026

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

Participants

447

Channels

129 (egi-geodesic)

HED

v8.3.0

Size

250 GB

Version

v2.0.0

Updated

Feb 23, 2026

…snakerun=1, freerun=2, eyerun=3 - **Trial interval**: [0, 8] s - **Runs…

Participants

10

Channels

60 (10-05)

Citations

20

HED

v8.4.0

Size

7.38 GB

Version

v1.0.3

Updated

Aug 18, 2026

A preprocessed derivative EEG dataset from BCI Competition 2020 Track 4, containing motor imagery recordings of three right-arm grasping tasks (cylindrical, spherical, lumbrical) from 15 healthy participants across three sessions. It provides 60-channel EEG at 250 Hz with 450 trials per subject and 4 s motor imagery epochs. The dataset is intended for evaluating session-to-session transfer learning in brain-computer interfaces.

Participants

14

Channels

60 (10-10)

HED

v8.4.0

Size

6.19 GB

Version

v1.0.4

Updated

Oct 16, 2026

…Eye gaze and pupillometry data was acquired using the EyeLink 1000 Plus…

Participants

31

Size

95.8 GB

Version

v1.0.0

Updated

Jun 29, 2026

…visual working memory task with eye tracking in epilepsy patients. The link…

Participants

7

Size

12.5 GB

Version

v1.0.2

Updated

Oct 16, 2026

NOD-EEG is an electroencephalography dataset of human responses to naturalistic ImageNet object images. It extends the Natural Object Dataset-fMRI (NOD-fMRI) by recording EEG, and MEG in a companion dataset, from the same subjects viewing the same stimuli. Together the three modalities support study of object recognition with both high spatial and high temporal resolution. The dataset includes raw BIDS data, preprocessed continuous data, epoched data, and detailed trial-level metadata.

Participants

19

Channels

62 (10-10)

Citations

5

Size

24.3 GB

Version

v1.0.0

Updated

Jun 28, 2026

…You will have time to move and close your eyes in the…

Participants

27

Citations

1

Size

132 GB

Version

v1.0.0

Updated

Jun 30, 2026

…Contains physiological recordings like eye-tracking (gaze coordinates and pupil size), and…

Participants

29

Channels

64 (10-10)

Size

7.47 GB

Version

v1.0.1

Updated

Oct 13, 2026

The YOTO (You Only Think Once) dataset is a human EEG resource for studying multisensory perception and mental imagery. Twenty participants completed tasks with unimodal and multimodal (visual, auditory, and combined) cues while EEG was recorded at 1000 Hz, and they gave self-reported vividness ratings of their imagery. Technical validation with event-related potentials and power spectral density analyses confirmed data reliability and distinct neural responses across stimuli, supporting research on neural decoding, perception, and cognitive modeling.

Participants

20

Channels

30

Size

9.91 GB

Version

v1.0.0

Updated

Jun 20, 2026