EEG responses to facial attractiveness, with ERP cluster analysis and MVPA classification

DOI

EEG data was recorded while 80 participants viewed 240 images of faces with varying levels of attractiveness. Participants indicated a subjective attractiveness rating following each image. These ratings were used to create subsets of the 10% highest, 10% lowest, and 10% middlemost rated images on the participant level. We performed cluster based ERP analyses (script included) and MVPA classification based on the whole scalp 3 second EEG patterns (script included).

The data includes the raw EEG, the pre-processed EEG, demographics (age, gender, sexual orientation, self-rated own-attractiveness), MatLab scripts for cluster analysis and MVPA-classification. Some files are also present in their preferred file format. Preferred formats are file formats of which DANS – based on international agreements – is confident that they will offer the best long-term guarantees in terms of usability, accessibility and sustainability. For more information on preferred file formats, see https://dans.knaw.nl/en/file-formats/.

Identifier
DOI https://doi.org/10.34894/9L4IV4
Related Identifier https://doi.org/10.1016/j.biopsycho.2023.108549
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/9L4IV4
Provenance
Creator Revers, Hans ORCID logo; Vroomen, Jean ORCID logo; Van Deun, Katrijn (ORCID: 0000-0002-2271-793X); Bastiaansen, Marcel ORCID logo
Publisher DataverseNL
Contributor Revers, Hans
Publication Year 2023
Rights info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact Revers, Hans (Tilburg University)
Representation
Resource Type Experimental data: EEG data, ratings of images, demographics of participants (age, gender, sexual orientation); Dataset
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Version 1.1
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Medicine; Neurosciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences