Skip to main navigation Skip to search Skip to main content

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

  • 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
  • , Antoni Rodriguez-Fornells
  • , Swathi Swaminathan
  • , Barbara Tillmann
  • , Peter Vuust
  • , Jonathan Wilbiks
  • , Marcel Zentner
  • , Karla Aguilar
  • , Christ B Aryanto
  • Frederico C Assis Leite, Aíssa M Baldé, Deniz Başkent, Laura Bishop, Graziela Bortz, Fleur L Bouwer, Axelle Calcus, Giulio Carraturo, Antonia Čerič, Antonio Criscuolo, Léo Dairain, Simone Dalla Bella, Oscar Daniel, Anne 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 M U Hansen, Eleanor E Harding, 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 Lee, Miriam Lense, César F Lima, Simon P Limmer, Chengran K Liu, Paulina D C Martín Sánchez, Langley McEntyre, Jessica P 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, Herve Platel, Alice Poissonnier, Vasiliki Provias, Neha Rajappa, Pablo Ripolles, Michaela Ritchie, Italo R Rodrigues Menezes, Rafael Román-Caballero, Paula Roncaglia, Wanda Rubinstein, Farrah Y-A Sa'adullah, Suvi Saarikallio, Daniela Sammler, Séverine Samson, E Glenn Schellenberg, Nora R Serres, L Robert Slevc, Ragnya-Norasoa Souffiane, Florian J Strauch, Hannah Strauss, Nicholas Tantengco, Mari Tervaniemi, Rachel Thompson, Renee Timmers, Petri Toiviainen, Laurel J Trainor, Clara Tuske, Jed Villanueva, Claudia C von Bastian, Kelly L Whiteford, Emily A Wood, Florian Worschech, Ana Zappa
*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Downloads (Pure)

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.

Original languageEnglish
Article number473
Number of pages17
JournalScientific Data
Volume13
DOIs
Publication statusPublished - 18-Feb-2026

Keywords

  • Humans
  • Music
  • Cognition
  • Personality
  • Adult
  • Young Adult
  • Adolescent
  • Male
  • Female

Fingerprint

Dive into the research topics of 'Music Ensemble: a large dataset on musicianship, cognition, and personality in musicians and nonmusicians'. Together they form a unique fingerprint.

Cite this