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THINGS-EEG2 is a large EEG dataset from 10 participants who viewed 16,540 training images and 200 repeatedly presented test images from the THINGS database. Images were shown in rapid serial visual presentation at 5 Hz while 63-channel EEG was recorded at 1000 Hz across four sessions per subject. The dataset supports modeling of human visual object recognition and includes resting-state recordings, the authors' preprocessed epochs, and stimulus images.

Participants

10

Channels

63 (10-10)

Citations

88

Size

241 GB

Version

v1.1.0

Updated

Jul 5, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006903-blue…

Participants

17

Size

5.43 GB

Version

v1.0.0

Updated

Jun 18, 2026

Preprocessed EEG recordings from 20 individuals with a schizophrenia spectrum disorder and 22 healthy control participants performing a visual motion discrimination task with confidence reporting. Motion coherence was adjusted per individual with a staircase procedure to equate performance between groups, allowing study of perceptual decision-making and metacognition in schizophrenia.

Participants

39

Channels

63 (10-10)

Size

997 MB

Version

v1.0.0

Updated

May 13, 2026

EEG dataset from a visual working memory experiment in which participants judged whether a probe grating was rotated clockwise or counterclockwise relative to a memorized orientation. Color cues either predicted a 90° segment of possible orientations or gave no information about orientation. The dataset supports investigation of how diffuse predictions stabilize and reshape neural codes during memory encoding.

Participants

47

Channels

66 (10-10)

Size

145 GB

Version

v1.0.0

Updated

Jul 2, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006673-blue…

Participants

17

Size

20.7 GB

Version

v1.0.0

Updated

Jun 18, 2026

EEG dataset from an instruction-following study in which participants received novel verbal instructions combining integration or selection of animate and inanimate images, a relevant feature (color or shape), and a response key. Each participant completed a main instruction-following task and a 1-back localizer task in a single session. The dataset supports investigation of neural representations of novel instructions.

Participants

41

Channels

63 (10-10)

Citations

5

Size

57.7 GB

Version

v1.0.0

Updated

Jun 28, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005776-blue…

Participants

11

Size

1.20 GB

Version

v1.0.0

Updated

Jun 18, 2026

This dataset contains electroencephalography (EEG) recordings from 16 participants viewing object images presented in eight different 2-D rotations. Images were shown in rapid serial visual streams at two presentation rates (5 Hz and 20 Hz). The data support investigation of the time course of rotation-tolerant, high-level object representations in the human brain.

Participants

16

Citations

4

Size

18.3 GB

Version

v1.0.0

Updated

Jun 23, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007714-blue…

Participants

64

Size

1.25 GB

Version

v1.0.0

Updated

Jun 19, 2026

EEG recordings from participants viewing 200 object images presented in rapid serial visual presentation (RSVP) streams at 5 Hz or 20 Hz. The dataset supports investigation of the temporal representational dynamics of visual object processing under rapid presentation conditions. It accompanies a published NeuroImage study on object representations in RSVP streams.

Participants

16

Citations

97

Size

10.6 GB

Version

v1.0.0

Updated

May 13, 2026