Naturalistic Music EEG Dataset - Tempo (NMED-T)
Abstract/Contents
- Abstract
- This dataset contains cortical (EEG) and behavioral data collected during natural music listening. Dense-array EEG was recorded from 20 adult participants who each heard a set of 10 full-length songs with electronically produced beats at various tempos. In a separate subsequent listen, each participant tapped to the beat of a 35-second excerpt from each song. Participants also delivered ratings of familiarity and enjoyment for each full-length song during the EEG recording. Finally, the dataset includes basic demographic information about the participants, as well as Matlab scripts to perform the illustrated analyses presented in the paper introducing the dataset (Losorelli et al., 2017). Cleaned and aggregated data are published in Matlab format; raw EEG is published in Matlab format, while raw tapping data are published in .txt format. Stimulus audio is not published, but metadata links are provided. Cleaned EEG files have been aggregated across participants on a per-song basis and range in size from 656-721MB. Raw EEG recordings (two recordings per participant) range in size from 753-861MB. All other files are less than 1MB in size. In total the dataset comprises 55 downloadable files, with a total size of 39GB.
Description
Type of resource | software, multimedia |
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Date created | 2017 |
Creators/Contributors
Author | Losorelli, Steven | |
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Author | Nguyen, Duc T. | |
Author | Dmochowski, Jacek P. | |
Author | Kaneshiro, Blair |
Subjects
Subject | Electroencephalography |
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Subject | ongoing EEG |
Subject | naturalistic music |
Subject | music cognition |
Subject | beat processing |
Subject | music information retrieval |
Subject | sensorimotor synchronization |
Subject | Center for the Study of Language and Information |
Subject | Center for Computer Research in Music and Acoustics |
Genre | Dataset |
Bibliographic information
Related Publication |
Steven Losorelli, Duc T. Nguyen, Jacek P. Dmochowski, and Blair Kaneshiro. 2017. NMED-T: A Tempo-Focused Dataset of Cortical and Behavioral Responses to Naturalistic Music. In Proceedings of the 18th International Society for Music Information Retrieval Conference, Suzhou, China.
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Related item | |
Location | https://purl.stanford.edu/jn859kj8079 |
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
- Steven Losorelli, Duc T. Nguyen, Jacek P. Dmochowski, and Blair Kaneshiro (2017). Naturalistic Music EEG Dataset - Tempo (NMED-T). Stanford Digital Repository. Available at: http://purl.stanford.edu/jn859kj8079
Collection
Stanford Research Data
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- Contact
- blairbo@ccrma.stanford.edu
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