Music Ensemble: a large dataset on musicianship, cognition, and personality in musicians and nonmusicians
; von Bastian, Claudia C. ; Whiteford, Kelly L. ; Wood, Emily A. ; Worschech, Florian ; Zappa, Ana Otros responsables
Fecha
11/2025
Editorial
Springer Nature
Revista
Scientific Data
Título del libro
Nombre del evento
Fecha del evento
Institución organizadora
ISSN
eISSN
2052-4463
ISBN
Idioma
Inglés
Tipo del evento
Clasificación temática
Palabras clave
Resumen
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.
Colecciones
Aprobación
Revisión
Complementado por
Referenciado por
Licencia Creative Commons
Excepto donde se indique lo contrario, la licencia de este ítem se describe como by-nc-sa
