Ciência_Iscte
Publications
Publication Detailed Description
Music ensemble: A large dataset on musicianship, cognition, and personality in musicians and nonmusicians
Journal Title
Scientific Data
Year (definitive publication)
2026
Language
English
Country
United States of America
More Information
Web of Science®
Scopus
Google Scholar
This publication is not indexed in Overton
Abstract
The Music Ensemble dataset is a large-scale, cross-national database that provides detailed information about the musical, cognitive, personality, and demographic profiles of young adult musicians and nonmusicians. Data were collected from 1438 participants (aged 18–30) across thirty-five research sites in Europe, North America, South America, and Australia. Participants completed an in-person, in-lab battery of objective tests, including measures of verbal, visuospatial and musical short-term memory, executive functions (updating component), nonverbal reasoning, verbal comprehension, and music perception skills. The battery also included standardized and custom self-report questionnaires assessing music sophistication, music reward, personality traits, socioeconomic status, and demographic characteristics. Music Ensemble was preregistered, and the research protocol followed a standardized procedure across sites. The dataset also includes a large subsample of musicians and nonmusicians that are pair-matched for age, gender, and education (678 pairs). It enables well-powered investigations into the relationship between musical expertise and individual differences in cognition, personality, and demographic variables. It is also suitable for training in statistical and psychometric methods.
Acknowledgements
--
Keywords
Fields of Science and Technology Classification
- Mathematics - Natural Sciences
- Computer and Information Sciences - Natural Sciences
- Other Natural Sciences - Natural Sciences
- Educational Sciences - Social Sciences
- Other Social Sciences - Social Sciences
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| 117 | Danish National Research Foundation |
| DE220100783 | Australian Research Council |
| VI.Veni.201 G.066 | Dutch Research Council (NWO) |
Português