Discover datasets

This dataset provides high-density (128-channel) EEG and mouse-tracking data from 31 adults aged 18-33, collected in 2020. It includes resting-state recordings and task recordings from food preference choices and semantic judgments. The resource is intended for studying the dynamic decision processes underlying binary choices in the human brain.

Participants

31

Channels

129 (egi-geodesic)

Citations

5

Size

153 GB

Version

v1.0.0

Updated

Jun 22, 2026

Scalp EEG recorded from 45 participants listening to a 12.4-minute audiobook recording of the first chapter of Alice's Adventures in Wonderland. The naturalistic paradigm was designed to study how the brain builds hierarchical syntactic structure and makes rapid, incremental linguistic predictions. The dataset includes word-level events annotated with lexical frequency, sound power, and n-gram, RNN, and context-free-grammar surprisal predictors, along with comprehension scores and the audio stimuli.

Participants

45

Channels

60 (other)

Citations

91

Size

3.88 GB

Version

v1.1.3

Updated

Jul 3, 2026

EEG recordings from experienced meditation practitioners performing alternating meditation and active thinking blocks. Data were collected at the Meditation Research Institute in Rishikesh, India. The design includes breath-counting and tradition-specific meditation, with a control group performing breath counting in both meditation blocks.

Participants

98

Channels

64 (10-10)

Citations

5

Size

54.5 GB

Version

v1.0.0

Updated

Jun 22, 2026

This dataset contains 64-channel EEG recordings and behavioural ratings from participants who read and evaluated 210 short English-language texts: 70 Haiku, 70 Senryu, and 70 non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. This first of two BIDS datasets includes 47 participants whose recordings passed technical validation. Psychometric questionnaire data and resting-state EEG are also provided.

Participants

47

Channels

64 (10-10)

Size

45.4 GB

Version

v1.0.0

Updated

Jun 29, 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

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

EEG dataset from Experiment 1 of a study on whether capacity for movement is an organisational principle in visual object representations. Twenty-four participants viewed images of moving or non-moving, natural or artificial objects, completing a time-pressured aliveness classification task and a passive RSVP viewing task with a fixation-colour detection response. The release includes raw BrainVision EEG, preprocessed EEGLAB and CoSMoMVPA data, decoding results, analysis code, and 400 CC0 stimulus images.

Participants

24

Citations

18

Size

82.2 GB

Version

v1.0.0

Updated

Jun 22, 2026

EEG recordings from 24 participants viewing static images of moving and non-moving, natural and artificial objects. The study tests whether capacity for movement is an organisational principle in object representations, separate from aliveness or animacy. Participants completed a speeded classification task and a passive rapid serial visual presentation task. The dataset includes raw BrainVision data, preprocessed derivatives, decoding results, analysis code, and 400 CC0 stimulus images.

Participants

24

Citations

3

Size

80.7 GB

Version

v1.0.0

Updated

Jun 22, 2026

TMNRED is an EEG dataset recorded from 30 native Chinese speakers during natural reading of news headlines and short sentences. Participants identified fuzzy semantic targets among target and non-target items. The dataset supports research on semantic processing of Chinese in naturalistic reading and includes raw and preprocessed data in BIDS format.

Participants

30

Channels

30 (10-10)

Citations

4

Size

17.4 GB

Version

v1.0.0

Updated

Jun 26, 2026

A visual event-related potential dataset of 124-channel EEG recorded from 10 healthy participants viewing photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, inanimate object). It contains 5,184 trials, with 72 images per category shown for 500 ms with a 750 ms interstimulus interval. The data support research on neural object representations through single-trial EEG classification and representational similarity analysis, and are distributed in BIDS format via MOABB.

Participants

10

Channels

124 (egi-geodesic)

Citations

93

HED

v8.4.0

Size

3.40 GB

Version

v1.0.3

Updated

Aug 18, 2026