Naturalistic Music EEG Dataset - Minimalism (NMED-M)

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Abstract/Contents

Abstract: This dataset contains cortical (EEG) and behavioral data collected during natural music listening. Dense-array EEG was recorded from 30 adult participants who each heard a set of five musical stimuli: Steve Reich’s Piano Phase (performed by Nurit Tilles and Edmund Neimann in their 1987 recording on the album Reich “Early Works” released by Double Edge), Matt Winn’s Piano Phase (D*Note’s Phased & Konfused Mix), and three manipulations of Reich’s piece (Abrupt Change, Segment Shuffle, and Tremolo - each described in the manuscript noted above). In a separate, subsequent listen, each participant used a computer interface to give a continuous behavioral (CB) rating of how engaging the stimuli were. Participants also rated how pleasant, musical, well ordered, interesting, and engaging each stimulus was. Cleaned and aggregated EEG data, raw EEG data, and raw and clean continuous behavioral response data are published in MATLAB .mat format; behavioral rating data are published as a .csv. Clean EEG files (5 files, 1 per stimulus) are each approximately 1 GB in size, and raw EEG files (30 files, 1 per participant) are each approximately 1 GB in size. Raw and clean CB responses, and participant ratings are collectively less than 1 MB in size. In total, the dataset comprises 38 downloadable data files plus a README, with a total size of approximately 34 GB.

Subject	Electroencephalography
Subject	EEG
Subject	Minimalism
Subject	Music cognition
Subject	Center for Computer Research in Music and Acoustics
Subject	CCRMA
Subject	Department of Music
Subject	Music Engagement Research Initiative
Genre	Data
Genre	Data sets
Genre	Dataset

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License: This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).

Preferred citation: Tysen Dauer, Duc T. Nguyen, Nick Gang, Jacek P. Dmochowski, Jonathan Berger, and Blair Kaneshiro. (2021). Naturalistic Music EEG Dataset - Minimalism (NMED-M). Stanford Digital Repository. Available at: https://purl.stanford.edu/kt396gb0630

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