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on003645
Face processing MEEG dataset with HED annotation

ANAT BEH EEG MEG Zarr

A multi-modal face processing dataset combining simultaneously recorded MEG and EEG with structural MRI from 18 participants. Participants viewed famous, unfamiliar, and scrambled faces and made a symmetry judgment by button press. The data are a curated repackaging of the MEEG portion of ds000117, with reorganized event logs, Hierarchical Event Descriptor (HED) annotations, and EEGLAB-format EEG.

Participants

19

Citations

80

HED

v8.1.0

Size

106 GB

Version

v1.0.0

Updated

Mar 9, 2026

by Daniel G. Wakeman et al. OpenNeuro ds003645
on004408
EEG responses to continuous naturalistic speech

EEG Zarr

This dataset contains 128-channel EEG recordings from healthy, neurotypical adults listening to naturalistic continuous speech, specifically segments of an audiobook version of "The Old Man and the Sea". It combines data from two earlier studies on cortical entrainment to speech and on semantic processing. It includes the audio stimuli and forced-aligned word and phoneme timing files, supporting research on speech and language processing.

Participants

19

Channels

128 (biosemi)

Size

18.7 GB

Version

v1.0.0

Updated

Jun 24, 2026

by Giovanni M Di Liberto et al. OpenNeuro ds004408
on002550
Differential brain mechanisms of selection and maintenance of information during working memory (MEG data)

ANAT MEG Zarr fidelity issue

MEG dataset from 22 participants performing a visual working memory task in which two Gabor stimuli were presented and a retro-cue indicated which stimulus and attribute to maintain for comparison with a probe. Each participant was recorded in two MEG sessions, with a one-back control task and anatomical T1 MRI. The data support investigation of the distinct brain mechanisms of selecting and maintaining information in working memory.

Participants

22

Size

168 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Romain Quentin et al. OpenNeuro ds002550
on002718
Face processing EEG dataset for EEGLAB

ANAT EEG Zarr

This dataset is the EEG and structural MRI portion of a multi-subject, multi-modal face processing study (originally ds000117), repackaged in EEGLAB format with augmented event logs and HED annotation. Eighteen participants viewed famous, unfamiliar, and scrambled faces while making symmetry judgments. The original study had two sessions (fMRI and simultaneous MEG/EEG); only the MEEG session's EEG data and the structural MRI are included here, while MEG and fMRI data are excluded. Minimal preprocessing, including EEG channel extraction, event correction, and resampling to 250 Hz, yields a lightweight version suitable for tutorials and EEG source localization.

Participants

18

Channels

70 (other)

Citations

84

Size

4.31 GB

Version

v1.0.0

Updated

May 25, 2026

by Daniel G. Wakeman et al. OpenNeuro ds002718