Naturalistic Music EEG Dataset - Elgar (NMED-E)
Abstract/Contents
- Abstract
- This dataset contains cortical (EEG) responses and behavioral ratings related to natural music listening. 128-channel EEG was recorded from 24 adult participants who heard the entire first movement of Elgar’s Cello Concerto in E Minor, Op. 85 (1919), as well as a temporally manipulated control stimulus. The intact excerpt is the 1965 performance by Jacqueline du Pré with the London Symphony Orchestra, conducted by Sir John Barbirolli. The control stimulus is a phase-scrambled version of the original, which has been scaled by the amplitude envelope of the original. EEG was recorded while each participant heard each stimulus once. Participants rated the degree of pleasantness, arousal, level of interest, predictability, and familiarity of each stimulus after it played. EEG was also recorded during a 60-second baseline period preceding each stimulus, during which participants heard pink noise played at low volume. The current version of the dataset includes the following files in Matlab format, organized with anonymized participant identifiers: (1) Raw, continuous EEG recordings (24 files; 1 per participant, each around 650MB in size); (2) cleaned, aggregated EEG trials (4 files: 2 stimulus files are 1.25GB each and 2 baseline files are 160MB each); and (3) behavioral ratings (1 file; < 1KB in size).
Description
Type of resource | software, multimedia |
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Date created | 2021 |
Creators/Contributors
Author | Kaneshiro, Blair | |
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Author | Nguyen, Duc T. | |
Author | Norcia, Anthony M. | |
Author | Dmochowski, Jacek P. | |
Author | Berger, Jonathan |
Subjects
Subject | Electroencephalography |
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Subject | EEG |
Subject | Music cognition |
Subject | Edward Elgar |
Subject | Center for Computer Research in Music and Acoustics |
Subject | CCRMA |
Subject | Music Engagement Research Initiative |
Genre | Dataset |
Bibliographic information
Related Publication | Blair Kaneshiro, Duc T. Nguyen, Anthony M. Norcia, Jacek P. Dmochowski, and Jonathan Berger (2021). Inter-Subject EEG Correlation Reflects Time-Varying Engagement with Natural Music. bioRxiv. doi:10.1101/2021.04.14.439913 |
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Related item | |
Location | https://purl.stanford.edu/pp371jh5722 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).
Preferred citation
- Preferred Citation
- Blair Kaneshiro, Duc T. Nguyen, Anthony M. Norcia, Jacek P. Dmochowski, and Jonathan Berger. (2021). Naturalistic Music EEG Dataset - Elgar (NMED-E). Stanford Digital Repository. Available at: https://purl.stanford.edu/pp371jh5722
Collection
Stanford Research Data
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- Contact
- blairbo@ccrma.stanford.edu
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