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This dataset contains simultaneous EEG and facial EMG recordings examining symmetry perception and associated affective responses. Participants viewed visual patterns and, after stimulus offset, reported whether each pattern was regular (symmetric) or random. It supports investigation of neural and psychophysiological correlates of the processing of visual symmetry.

Participants

24

Channels

64 (other)

Citations

94

Size

2.69 GB

Version

v1.0.0

Updated

Jun 24, 2026

…Parallel models might make the perceptual system more robust, facilitate processing of…

Participants

13

Citations

80

Size

41.6 GB

Version

v1.0.0

Updated

Sep 8, 2026

Electroencephalography recordings from 50 participants viewing 22,248 images spanning 1,854 object concepts from the THINGS database. Images were shown in rapid serial visual presentation streams at 10 Hz while participants performed an orthogonal fixation colour change detection task. The dataset supports research on the temporal dynamics of object recognition and visual representation in the human brain.

Participants

50

Channels

63

Citations

3

Size

55.3 GB

Version

v1.0.0

Updated

Mar 14, 2026

…data or preprocessed physiological signals, making it easy to work with and…

Participants

27

Size

881 MB

Version

v1.0.0

Updated

Jun 17, 2026

EEG and eye-tracking dataset from 30 participants who searched for objects in real-world scenes or intentionally memorized objects in other scenes, then completed a surprise recognition memory test. The study asks whether the search superiority effect reflects purely stronger memory or also qualitative differences in recollection versus familiarity. The data include FN400 and LPC ERP components, remember-know judgments, and receiver operating characteristics. Behavioral data are split into encoding and memory testing phases.

Participants

30

Channels

61

Size

17.0 GB

Version

v1.0.0

Updated

Jun 26, 2026

…They were to undergo 144 rounds of making a prediction about the…

Participants

45

Channels

139 (other)

Size

202 GB

Version

v1.0.0

Updated

Jun 24, 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

Continuous 64-channel scalp EEG from 12 observers performing a visual dimension-based attention (cue) task, originally reported by Gramann, Töllner and Müller (2010). The recordings, 56-66 minutes each, include ICA decomposition weights and expert-annotated independent component labels. The dataset was later used to study automatic multi-class labeling of ICA components and is known as the "Cue" dataset.

Participants

12

Channels

64 (10-10)

Citations

32

Size

5.63 GB

Version

v1.0.0

Updated

Jun 29, 2026

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

…stimuli that are also animate, making it difficult to disentangle the effect…

Participants

24

Citations

3

Size

80.7 GB

Version

v1.0.0

Updated

Jun 22, 2026