Discover datasets

FOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants. In one session, EEG was recorded during a food categorisation task in which participants judged images as healthy, tasty, or something they were willing to eat. In a second session, participants completed a food go/no-go task, a paired choice task, and questionnaires on dietary style and motivation. The dataset also includes raw and cleaned EEG data and normative ratings of the food stimuli from online samples.

Participants

117

Size

91.1 GB

Version

v1.0.0

Updated

Jun 29, 2026

EEG-BIDS dataset of cue-locked EEG recordings and event annotations from 43 neurotypical adults performing a random-dot kinematogram motion discrimination task. The task dissociates low-level priors (implicitly learned tone-motion contingencies) from high-level priors (a cover story about tinted glasses) against a neutral baseline. The data support analyses of hierarchical priors with signal detection theory, drift-diffusion modeling, and occipital oscillatory and aperiodic EEG activity, alongside psychosis-proneness and psychological flexibility questionnaires.

Participants

43

Channels

31 (10-10)

Size

8.76 GB

Version

v1.0.0

Updated

Jul 2, 2026

A motor imagery EEG dataset from 54 healthy participants performing binary left/right hand grasping imagery across two sessions on different days. Recordings were made with 62 EEG channels plus 4 EMG channels at 1000 Hz. The data belong to a larger multi-paradigm BCI collection (MI, ERP, SSVEP) used to investigate BCI illiteracy and variation in decoding performance across subjects and sessions.

Participants

54

Channels

62 (10-05)

Citations

99

HED

v8.4.0

Size

121 GB

Version

v1.0.5

Updated

Aug 18, 2026

This dataset contains EEG recordings from 34 participants (one session each) who viewed 242 object images, 121 challenge and 121 control images, selected from comparisons between human behavioural performance and AlexNet. The study examines adaptive recruitment of cortex-wide recurrent processing during visual object recognition. The derivatives folder contains outputs of the decoding analyses, including time-resolved decoding accuracy matrices for object identity (.npz).

Participants

34

Channels

63 (10-10)

Citations

2

Size

61.2 GB

Version

v1.0.0

Updated

Jun 30, 2026

…SEEG of the left ventral temporal cortex (Volfart et al., 2020) (derivative…

Participants

3

Size

1.24 GB

Version

v1.0.0

Updated

Oct 13, 2026

This dataset provides behavioral events and intracranial EEG recordings from a categorized delayed free recall task. Participants studied visually presented word lists built from 25 semantic categories, completed arithmetic distractor problems, and then freely recalled the words. Each 12-word list contains pairs of same-category words from three categories. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

258

Size

477 GB

Version

v1.0.0

Updated

Jun 25, 2026

…Letter and word selective SEEG responses in the ventral occipito-temporal cortex…

Participants

37

Size

14.5 GB

Version

v1.0.0

Updated

Oct 13, 2026

…from frontal (LMFG, RMFG) and temporal (LMTG, RMTG) areas of 13 subjects…

Participants

13

Citations

1

Size

286 MB

Version

v1.0.0

Updated

Jun 28, 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

This dataset contains EEG recordings from 127 young adults (18-30 years) together with retrospective indicators of childhood family socioeconomic status (SES) and adult SES measures, including education, income, food security, and home and neighborhood characteristics. EEG was recorded during ERP CORE tasks or adaptations of them, which target perception, cognition, and action. The dataset also includes an adult ADHD symptoms checklist, so that links between SES, ADHD symptoms, and neural activity can be examined in a socioeconomically diverse sample.

Participants

127

Channels

27

Citations

8

Size

10.6 GB

Version

v1.0.0

Updated

Jun 28, 2026