Discover datasets

ChineseEEG is a high-density EEG dataset with simultaneous eye-tracking recordings from 10 participants silently reading Chinese novels for approximately 11 hours each. The dataset includes raw and preprocessed EEG data at multiple filtering levels, eye-tracking data, Chinese text materials from two novels (The Little Prince and Garnett Dream), and BERT-based Chinese text embeddings. This resource enables investigation of semantic alignment between neural representations and natural language processing model embeddings during Chinese language comprehension.

Participants

10

Channels

128 (egi-geodesic)

Size

697 GB

Version

vv1.0.0

Updated

Jul 22, 2026

This dataset contains raw EEG recordings from participants performing a tactile discrimination task involving Braille letter stimulation. Participants received Braille letters (B, C, D, L, M, N, V, Z) presented on Braille cells under their left and right index fingers while EEG was recorded. The dataset accompanies research investigating the neural transformation of sensory tactile input to perceptual representations of Braille letters in the visually deprived brain.

Participants

11

Channels

63 (10-10)

Size

22.0 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings from a visuo-spatial working memory task designed to investigate oscillatory neural dynamics during sequence encoding and recall across age groups. Participants performed a computerized spatial span task while EEG was recorded to examine theta and gamma band oscillations and their phase-amplitude coupling. The study aims to elucidate the neural mechanisms supporting visuo-spatial working memory for sequences and characterize potential age-related changes in these processes.

Participants

62

Channels

65 (10-10)

Size

25.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises multimodal neuroimaging and electrophysiological recordings from 53 healthy volunteers (aged 18-31) performing a probability decision-making task under conditions of risk and ambiguity. Data include structural MRI (T1w, T2w, DWI), task-based fMRI, and concurrent EEG recordings during transcranial magnetic stimulation applied to parietal regions and the vertex. The dataset enables investigation of neural mechanisms underlying decision-making under uncertainty, with particular focus on parietal cortex function and its interactions with distributed brain networks.

Participants

53

Channels

66 (10-10)

Size

36.5 GB

Version

vv1.0.0

Updated

Jul 10, 2026

A resting-state EEG dataset comprising 71 participants recorded during normal sleep and sleep deprivation conditions. The dataset includes eyes-open and partially eyes-closed EEG recordings collected between March 2019 and December 2020, along with concurrent measurements of sleepiness and mood states. This resource enables investigation of neurophysiological changes associated with sleep deprivation and their relationship to subjective alertness and affective states.

Participants

71

Channels

61 (10-10)

Size

8.29 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains raw EEG recordings from a registered report study investigating the error-related negativity (ERN) across three versions of a flanker task. Participants performed variants of the flanker task while EEG was recorded using EGI systems. The data has been processed and converted to BIDS format with task-specific events recoded for ERN analysis.

Participants

172

Channels

129 (egi-geodesic)

Size

127 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises behavioral and intracranial electrophysiological recordings from a delayed free recall task conducted across multiple clinical sites. Participants studied visually presented word lists, performed arithmetic distractor tasks, and subsequently engaged in free recall. The study represents a preliminary cognitive electrophysiology investigation by the Computational Memory Lab at the University of Pennsylvania, serving as a foundational dataset for subsequent free recall and categorical free recall studies.

Participants

49

Size

97.8 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This event-related potentials (ERP) study investigates cognitive conflict during moral judgment of accidental harm using EEG recordings from 31 participants. Participants performed a combined semantic and moral judgment task, evaluating scenarios involving intentional or accidental harm while making congruency judgments about target words. The orthogonal manipulation of agent intention and semantic congruency across four conditions enables examination of how moral and semantic processing interact in the brain.

Participants

31

Channels

32

Size

3.79 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial electroencephalography (iEEG) recordings from pediatric patients performing a Stroop task. The dataset provides direct cortical recordings that enable investigation of neural mechanisms underlying cognitive control and conflict resolution in developing brains. These data support research into the functional organization of executive function networks in children.

Participants

7

Size

2.17 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The HID dataset is a neuroimaging collection of intracranial electroencephalography (iEEG) recordings curated and formatted according to BIDS standards (version 1.8.0). This dataset is derived from OpenNeuro dataset ds004851 (DOI: 10.18112/openneuro.ds004851.v2.1.0) and serves as a resource for neuroscience research on electrophysiological brain activity. The dataset is made available under the CC0 license to facilitate open science and data sharing. It contains iEEG recordings with associated metadata documenting electrode placement, recording parameters, sampling rates, and brain regions of interest.

Participants

66

Channels

72 (10-10)

Size

56.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026