Music Ensemble: a large dataset on musicianship, cognition, and personality in musicians and nonmusicians

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Authors: Francesca Talamini, Massimo Grassi, Gianmarco Altoè, Elvira Brattico, Anne Caclin, Barbara Carretti, Véronique Drai-Zerbib, Laura Ferreri, Filippo Gambarota, Jessica Grahn, Lucrezia Guiotto Nai Fovino, Marco Roccato
+88 more Antoni Rodriguez-Fornells, Swathi Swaminathan, Barbara Tillmann, Peter Vuust, Jonathan M. P. Wilbiks, Marcel Zentner, Karla Aguilar, Christ Billy Aryanto, Frederico C. Assis Leite, Aíssa Mariama Nascimento Baldé, Deniz Başkent, Laura Menchaca Bishop, Graziela Bortz, Fleur L. Bouwer, Axelle Calcus, Giulio Carraturo, Antonia Čerič, Antonio Criscuolo, Léo Dairain, Simone Dalla Bella, Óscar Daniel, Anne Grethe Danielsen, Anne-Isabelle de Parcevaux, Delphine Dellacherie, Verónica Detlefsen, Tor Endestad, Victor Cepero-Escribano, Juliana L. d. B. Fialho, Caitlin Fitzpatrick, Anna Fiveash, Juliette Fortier, Noah R. Fram, Eleonora Fullone, Stefanie Gloggengießer, Lucia Gonzalez Sanchez, Reyna L. Gordon, Mathilde Groussard, Assal Habibi, Heidi Marie Umbach Hansen, Eleanor E. Harding, Ms Kirsty Hawkins, Steffen A. Herff, Veikka P. Holma, Kelly Jakubowski, Maria G. Jol, Aarushi Kalsi, Veronica Kandro, Rosaliina Kelo, Sonja A. Kotz, Gangothri S. Ladegam, Bruno Laeng, André Dong Lee, Miriam Lense, César F. Lima, Simon P. Limmer, Kelly Liu, Paulina d. C. Martín Sánchez, Langley McEntyre, Jessica Priyadarshini Michael, Daniel Mirman, Julieta Moltrasio, Daniel Müllensiefen, Niloufar Najafi, Jaakko Nokkala, Ndassi Nzonlang, Maria Gabriela M. Oliveira, Katie Overy, Andrew J. Oxenham, Edoardo Passarotto, Marie-Elisabeth Plasse, Hervé Platel, Alice Poissonnier, Vasiliki Provias, Neha Rajappa, Pablo Ripollés, Michaela Ritchie, Italo Ramon Rodrigues Menezes, Rafael Román-Caballero, Paula Roncaglia, Wanda Yanina Rubinstein, Farrah Y. Sa’adullah, Suvi Helinä Saarikallio, Daniela Sammler, Séverine Samson, E. Glenn Schellenberg, Nora R. Serres, L. Robert Slevc, Ragnya-Norasoa Souffiane
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References: 35

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.

Fields of Study & Subjects

Neuroscience and Music Perception Diverse Music Education Insights Music Therapy and Health

Publication details

Journal / source
Scientific Data
Publisher
Springer Science and Business Media LLC
Volume
13
Issue
1
Publication date
18 February 2026
Language
EN