Electroencephalography (EEG) dataset during naturalistic music listening comprising different genres with familiarity and enjoyment ratings

The article provides an open-source Music Listening- Genre (MUSIN-G) EEG dataset which contains 20 participants’ continuous Electroencephalography responses to 12 songs of different genres (from Indian folk music to Goth Rock to western electronic), along with their familiarity and enjoyment ratings...

Descripción completa

Detalles Bibliográficos
Autores principales: Miyapuram, Krishna Prasad, Ahmad, Nashra, Pandey, Pankaj, Lomas, James Derek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679455/
https://www.ncbi.nlm.nih.gov/pubmed/36426004
http://dx.doi.org/10.1016/j.dib.2022.108663

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679455/
https://www.ncbi.nlm.nih.gov/pubmed/36426004
http://dx.doi.org/10.1016/j.dib.2022.108663

Ejemplares similares