Discover datasets

This dataset comprises intracranial electrocorticography (ECoG) recordings from 9 epilepsy patients implanted with grid, depth, and strip electrodes (1,330 electrodes total), collected while participants listened to a 30-minute naturalistic story containing over 5,000 words. It provides raw and minimally preprocessed (high-gamma band) neural data along with aligned auditory stimuli, word-level transcripts, and linguistic features spanning low-level acoustics to large language model embeddings. The dataset is intended to support research on natural language comprehension using high-fidelity invasive recordings and includes tutorials replicating prior findings.

Participants

9

Citations

4

Size

14.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 19 healthy adult participants during a calibration session of an affective brain-computer music interface system. Participants listened to 40-second synthetic music clips designed to induce specific affective states defined by valence and arousal dimensions across 5 runs of 18 trials each. The synthetic music was generated in real-time based on target emotional states and could be modified online to induce target emotional states. The dataset includes self-reported affective state ratings and auxiliary variables, serving as calibration data for the brain-computer music interface system. This dataset is part of a three-dataset collection that includes offline training and online real-time control sessions.

Participants

19

Channels

32 (10-10)

Size

6.10 GB

Version

v1.0.0

Updated

Jul 10, 2026

A magnetoencephalography dataset from 13 participants performing audiovisual multisensory tasks, including causality judgment, temporal order judgment, and unimodal localizer conditions. The dataset comprises 1500 trials of audiovisual sequences with simultaneous behavioral recordings and structural MRI, designed to investigate neural mechanisms of multisensory correlation computations using time-resolved encoding models.

Participants

14

Citations

27

Size

75.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

A high-density 124-channel EEG dataset comprising event-related potentials (ERPs) from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects), with 72 photographs per category, presented for 500 ms each. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.

Participants

10

Channels

124 (egi-geodesic)

Citations

93

HED

v8.4.0

Size

3.40 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset contains intracranial electrophysiological recordings and behavioral data from a spatial navigation memory task with open-loop brain stimulation during encoding. Participants learned object locations through guided navigation and subsequently recalled them during self-navigation test phases. The study employed electrical stimulation of hippocampal and entorhinal cortex electrodes during learning trials, with stimulation parameters systematically varied across counterbalanced trial blocks to investigate the effects of targeted brain stimulation on spatial memory encoding. This dataset is an open-loop stimulation variant of the YC1 dataset (ds005522).

Participants

22

Size

69.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

Imported from OpenNeuro ds007181

Participants

66

Channels

19 (other)

Size

59.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

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 dataset comprises EEG and behavioral recordings from a study examining the effects of transcranial direct current stimulation (tDCS) over the dorsolateral prefrontal cortex on emotion processing and regulation in lonely individuals. 120 participants completed two sessions (sham and active stimulation) involving an emotion regulation task with static social and non-social images, rated on arousal and valence. The dataset includes raw EEG, behavioral ratings, and derived ERP data, along with questionnaires assessing side effects and blinding effectiveness.

Participants

120

Channels

37 (10-10)

Size

53.6 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

This dataset comprises EEG recordings from 6 healthy participants performing imagined speech tasks involving two conditions: cooperate and independent word imagery. The study employed a motor imagery paradigm with auditory and visual cues, yielding 3,600 preprocessed trials (1,800 per class) recorded at 256 Hz from 64 channels. Data were analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications, achieving mean classification accuracy of 66.2±4.8%.

Participants

6

Channels

60 (10-10)

Citations

97

HED

v8.4.0

Size

1.27 GB

Version

v1.0.3

Updated

Aug 18, 2026