Neural responses with EEG to climate change images

DOI

In this dataset you’ll find recordings with EEG (20 electrodes), Facial Coding, Eye Tracking and GSR. Data was collected in response to climate change, nature and neutral images. There were 6 images per category, each image was presented 3 times of 4 seconds. All images were rated by the participants in terms of valence, arousal, relevance to climate change and their motivation to act pro-environmentally. Additionally, participants completed survey with demographics and their beliefs that climate change is caused by humans (NEP). In this data we’re looking for an emotion recognition based on EEG. What measure from the brain does best differentiate between the three categories of images?

Read README-DataDescription.docx it describes all data and the procedure of the experiment.

Identifier
DOI https://doi.org/10.34894/7ELM50
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/7ELM50
Provenance
Creator Leeuwis, Nikki ORCID logo; Broers, Isabella; van Bommel, Tom; Alimardani, Maryam ORCID logo
Publisher DataverseNL
Contributor TiU Dataverse Admins; Leeuwis, Nikki; Tilburg University; DataverseNL
Publication Year 2025
Rights info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact TiU Dataverse Admins (Tilburg University); Leeuwis, Nikki (Tilburg University)
Representation
Resource Type neuroimaging data (EEG); Dataset
Format text/csv; application/octet-stream; application/vnd.openxmlformats-officedocument.wordprocessingml.document
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Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Earth and Environmental Science; Environmental Research; Geosciences; Life Sciences; Natural Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences