Face processing MEEG dataset with HED annotation

UC San Diego 2026 Dataset Open access

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Authors: Daniel G. Wakeman, Richard N. Henson, Dung Truong (curation), Dung Truong (curation), Kay Robbins (curation), Arno Delorme (curation), Arno Delorme (curation)
DOI: 10.82901/nemar.on003645
Cited by: 0
References: 2

Abstract

This dataset is the MEEG (structural MRI, MEG and simultaneous EEG) portion of the multi-subject, multi-modal face processing dataset originally released as ds000117. Eighteen participants viewed photographs of famous, unfamiliar and scrambled faces and made symmetry judgments with key presses. Events were augmented and reorganized and annotated with Hierarchical Event Descriptors (HED), and the EEG data were converted to BioSemi Data Format (BDF).

Fields of Study & Subjects

Face Recognition and Perception EEG and Brain-Computer Interfaces Face recognition and analysis

Publication details

Journal / source
UC San Diego
Publication date
29 October 2026
Language
EN
Document type
Dataset