Discover datasets

This dataset comprises 358 resting-state EEG recordings from 312 participants with Parkinson's disease and healthy controls, collected under eyes-open conditions. It includes longitudinal sessions for some participants, along with demographic and clinical variables such as MoCA and UPDRS Part III scores. The data are formatted in BIDS using BrainVision EEG files, supporting research on neural correlates of Parkinson's disease.

Participants

312

Channels

63 (10-05)

Size

59.2 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset contains EEG recordings from participants performing a rapid serial visual presentation (RSVP) with flankers reading task involving sentences with semantic and syntactic violations. The study examined neural responses to subject-verb agreement violations, semantic violations, combined violations, and word-order violations compared to grammatically correct control sentences. Data were collected at the NeuroCognition Laboratory at San Diego State University under IRB approval.

Participants

64

Channels

32 (10-10)

Size

6.22 GB

Version

v1.0.0

Updated

Sep 8, 2026

The MET dataset comprises 128-channel (downsampled to 66-channel) EEG recordings from 20 participants during resting-state and music-listening conditions, designed to investigate music-induced emotional responses. Each participant underwent one resting-state session and twenty music-listening sessions, each corresponding to a distinct song lasting 130 seconds. The dataset is organized according to the BIDS specification for EEG data.

Participants

20

Channels

66 (10-10)

Size

13.1 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset contains intracranial electrophysiology recordings from the ventral posterolateral (VPL) thalamus of macaque monkeys, obtained using a NeuroNexus multi-site probe on a Blackrock Cerebus recording system. Recordings were made during focused ultrasound (FUS) neuromodulation targeted at either VPL or insular cortex, and during tactile stimulation of the contralateral hand. The dataset supports investigation of how transcranial focused ultrasound modulates spiking and local field potential activity in the primate thalamus.

Participants

2

Size

5.07 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset contains electroencephalogram (EEG) recordings from 15 university students (8 males, 7 females; aged 21-23 years) collected to investigate brain connectivity during learning processes involving generative AI. Participants performed essay-writing tasks under varying AI interaction conditions, enabling assessment of cognitive states such as creativity, memory, and critical thinking.

Participants

15

Channels

14 (other)

Size

1.17 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset comprises high-density EEG recordings from 30 healthy, right-handed, native Chinese-speaking adults performing imagined and executed vocalization and writing tasks involving four Chinese strokes and four English letters. The factorial design crossed task mode, action, script and token identity, yielding 32 event-coded conditions across 15,360 task events. The dataset supports research into motor imagery, speech and handwriting-related neural communication signals.

Participants

30

Channels

124 (10-05)

Size

181 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset comprises 64-channel EEG recordings from 20 participants performing a finger motor imagery task, in which finger cues were presented in either random or sequential block orders, counterbalanced across subjects. The paradigm aims to investigate the effects of cue order predictability on motor imagery execution and associated neural dynamics. Data were collected using a g.tec EEG system and organized in BIDS format.

Participants

20

Channels

64 (10-10)

Size

30.6 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset contains magnetoencephalography (MEG) recordings from 12 participants listening to continuous narrative speech (an audiobook), plus an empty-room recording. It was collected to investigate how the brain integrates local and unified predictive linguistic models during incremental speech processing, examining neural signatures of sublexical, word-level, and sentence-level predictive representations. The dataset includes stimulus files (audio-derived gammatone features, TextGrid annotations) and derivatives (FreeSurfer outputs, MNE processing files, predictors).

Participants

13

Size

41.6 GB

Version

v1.0.0

Updated

Sep 8, 2026

The EEG Moments Dataset (EMD) provides EEG responses from 6 human subjects to 1,102 naturalistic 3-second videos with audio, serving as the EEG companion to the BOLD Moments Dataset (BMD) fMRI dataset. Each subject viewed a 1,000-video training set 6 times and a 102-video testing set 24 times, with concurrent eye-tracking (gaze and pupil size) recorded during central fixation. Videos are annotated with object, scene, and action labels, textual descriptions, spoken transcriptions, and memorability scores, enabling multimodal analyses of visual and auditory naturalistic event processing.

Participants

6

Size

210 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset comprises magnetoencephalography (MEG) recordings from 35 Japanese native speakers who read Japanese newspaper articles word by word, presented via rapid serial visual presentation. It forms part of the BCCWJ-Brain collection, which includes fMRI, MEG, and EEG data from separate participant groups exposed to the same stimuli, enabling cross-modal comparisons of language processing at high spatial and temporal resolution. T1-weighted structural images were also acquired for source localization purposes.

Participants

35

Citations

74

Size

166 GB

Version

v1.0.0

Updated

Aug 18, 2026