Discover datasets

This dataset comprises 64-channel EEG recordings from 7 participants performing an auditory imagery task, in which they imagined sounds associated with animals and tools following visual stimulus cues. The dataset is intended to support research on semantic decoding of imagined auditory content and brain-computer interface applications.

Participants

7

Channels

64 (10-10)

Size

12.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This magnetoencephalography (MEG) dataset investigates the differential neural mechanisms underlying selection and maintenance of information during working memory tasks. Data from 22 participants include MEG recordings across two sessions, structural MRI, and detailed behavioral measures from a working memory task and a one-back control task involving visual Gabor stimuli. The dataset supports investigation of how the brain selectively maintains task-relevant information while filtering distractions.

Participants

22

Size

168 GB

Version

v1.0.0

Updated

Jul 10, 2026

Participants

8

Citations

6

Size

7.74 GB

Version

v1.0.2

Updated

Jul 10, 2026

This dataset comprises EEG recordings from two experiments investigating evoked responses to sounds presented at varying elevations from loudspeakers in a hemi-anechoic chamber. In Experiment I, a deviant detection paradigm was used to examine responses to changes in sound source elevation between an adapter and probe stimulus. In Experiment II, a one-back task assessed elevation discrimination via white noise adaptation and localization judgments, including a subset of subjects tested with sound localization disrupted by ear molds. The dataset also includes behavioral localization test data for most subjects.

Participants

58

Channels

64 (other)

Size

22.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains whole-brain EEG recordings from participants experiencing tactile stimulation and viewing videos of touch to investigate overlapping neural representations between firsthand and vicarious touch. Using time-resolved multivariate pattern analysis, the study examines whether observed touch evokes similar neural patterns as direct tactile experience. The dataset includes 64-channel EEG data collected at 2048 Hz from 12 experimental runs comprising 1728 trials across tactile and visual conditions.

Participants

40

Channels

64

Citations

11

Size

172 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.

Participants

34

Channels

63 (10-10)

Citations

1

Size

61.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

A multi-joint upper-limb motor imagery EEG dataset comprising 18 healthy subjects performing eight distinct imagery tasks involving hand, wrist, elbow, and shoulder movements. The dataset contains 320 trials per subject acquired at 1000 Hz using 62-channel EEG with visual cue-based paradigm, designed for brain-computer interface research and motor rehabilitation applications.

Participants

18

Channels

62 (10-10)

Citations

4

HED

v8.4.0

Size

50.0 GB

Version

v1.0.2

Updated

Aug 18, 2026

TMNRED is an EEG dataset collected from 30 healthy, right-handed native Chinese speakers performing a natural reading task designed to investigate fuzzy semantic target identification. Participants read Chinese news headlines and short sentences containing target and non-target semantic items while EEG was recorded across 8 blocks of 400 trials each. The dataset supports research into semantic processing mechanisms during naturalistic reading in the Chinese language.

Participants

30

Channels

30 (10-10)

Citations

1

Size

17.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This EEG dataset comprises recordings from children performing letter discrimination and visual search tasks across three experimental stages: pre-intervention baseline, intervention measurement, and post-intervention assessment. Participants were assigned to intervention and control groups to evaluate the effects of embodied learning on literacy-related neural processing. The dataset includes event markers corresponding to stimulus presentations of letters 'b' and 'd', enabling analysis of neural responses to letter discrimination and visual search performance.

Participants

21

Channels

64 (10-10)

Size

36.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 39 Italian-speaking participants performing a picture-matching task under four cue conditions (Physical, Imagery, Literal, and Metaphorical), designed to investigate how mental representations generated by verbal and non-verbal cues influence the processing of subsequent target pictures. The study, part of the ERC-funded PROMENADE project, focuses on the neurocognitive processing of metaphorical versus literal language and mental imagery. EEG data were collected in long epochs around target picture onset, alongside behavioral accuracy and questionnaire-based measures of vocabulary and imagery ability.

Participants

39

Channels

58 (10-10)

Size

14.8 GB

Version

v1.0.0

Updated

Aug 19, 2026