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Talamini, F., Grassi, M., Altoè, G., Brattico, E., Caclin, A., Carretti, B....Zappa, A. (2026). Music ensemble: A large dataset on musicianship, cognition, and personality in musicians and nonmusicians. Scientific Data. 13

F. Talamini et al.,  "Music ensemble: A large dataset on musicianship, cognition, and personality in musicians and nonmusicians", in Scientific Data, vol. 13, 2026

@article{talamini2026_1777164057228,
	author = "Talamini, F. and Grassi, M. and Altoè, G. and Brattico, E. and Caclin, A. and Carretti, B. and Drai-Zerbib, V. and Ferreri, L. and Gambarota, F. and Grahnm, J. and Fovino, L. G. N. and Roccato, M. and Rodriguez-Fornells, A. and Swaminathan, S. and Tillmann, B. and Vuust, P. and Wilbiks, J. and Zentner, M. and Aguilar, K. and Aryanto, C. B. and Leite, F. C. A. and Baldé, A. M. and Başkent, D. and Bishop, L. and Bortz, G. and Bouwer, F. L. and Calcus, A. and Carraturo, G. and Čerič, A. and Criscuolo, A. and Dairain, L. and Dalla Bella, S. and Daniel, O. and Danielsen, A. and de Parcevaux, A.-I. and Dellacherie, D. and Detlefsen, V. and Endestad, T. and Cepero-Escribano, V. and Fialho, J. L. d. B. and Fitzpatrick, C. and Fiveash, A. and Fortier, J. and Fram, N. R. and Fullone, E. and Gloggengießer, S. and Gonzalez Sanchez, L. and Gordon, R. L. and Groussard, M. and Habibi, A. and Hansen, H. M. U. and Harding, E. E. and Hawkins, K. and Herff, S. A. and Holma, V. P. and Jakubowski, K. and Jol, M. G. and Kalsi, A. and Kandro, V. and Kelo, R. and Kotz, S. A. and Ladegam, G. S. and Laeng, B. and Lee, A. and Lense, M. and Lima, C. F. and Limmer, S. P. and Liu, C. K. and Martín Sánchez, P. d. C. and McEntyre, L. and Michael, J. P. and Mirman, D. and Moltrasio, J. and Müllensiefen, D. and Najafi, N. and Nokkala, J. and Nzonlang, N. and Oliveira, M. G. M. and Overy, K. and Oxenham, A. J. and Passarotto, E. and Plasse, M.-E. and Platel, H. and Poissonnier, A. and Provias, V. and Rajappa, N. and Ripolles, P. and Ritchie, M. and Menezes, I. R. R. and Román-Caballero, R. and Roncaglia, P. and Rubinstein, W. and Sa’adullah, F. Y.-A. and Saarikallio, S. and Sammler, D. and Samson, S. and Schellenberg, E. G. and Serres, N. R. and Slevc, L. R. and Souffiane, R.-N. and Strauch, F. J. and Strauss, H. and Tantengco, N. and Tervaniemi, M. and Thompson, R. and Timmers, R. and Toiviainen, P. and Trainor, L. J. and Tuske, C. and Villanueva, J. and von Bastian, C. C. and Whiteford, K. L. and Wood, E. A. and Worschech, F. and Zappa, A.",
	title = "Music ensemble: A large dataset on musicianship, cognition, and personality in musicians and nonmusicians",
	journal = "Scientific Data",
	year = "2026",
	volume = "13",
	number = "",
	doi = "10.1038/s41597-026-06654-0",
	url = "https://www.nature.com/sdata/"
}

TY  - JOUR
TI  - Music ensemble: A large dataset on musicianship, cognition, and personality in musicians and nonmusicians
T2  - Scientific Data
VL  - 13
AU  - Talamini, F.
AU  - Grassi, M.
AU  - Altoè, G.
AU  - Brattico, E.
AU  - Caclin, A.
AU  - Carretti, B.
AU  - Drai-Zerbib, V.
AU  - Ferreri, L.
AU  - Gambarota, F.
AU  - Grahnm, J.
AU  - Fovino, L. G. N.
AU  - Roccato, M.
AU  - Rodriguez-Fornells, A.
AU  - Swaminathan, S.
AU  - Tillmann, B.
AU  - Vuust, P.
AU  - Wilbiks, J.
AU  - Zentner, M.
AU  - Aguilar, K.
AU  - Aryanto, C. B.
AU  - Leite, F. C. A.
AU  - Baldé, A. M.
AU  - Başkent, D.
AU  - Bishop, L.
AU  - Bortz, G.
AU  - Bouwer, F. L.
AU  - Calcus, A.
AU  - Carraturo, G.
AU  - Čerič, A.
AU  - Criscuolo, A.
AU  - Dairain, L.
AU  - Dalla Bella, S.
AU  - Daniel, O.
AU  - Danielsen, A.
AU  - de Parcevaux, A.-I.
AU  - Dellacherie, D.
AU  - Detlefsen, V.
AU  - Endestad, T.
AU  - Cepero-Escribano, V.
AU  - Fialho, J. L. d. B.
AU  - Fitzpatrick, C.
AU  - Fiveash, A.
AU  - Fortier, J.
AU  - Fram, N. R.
AU  - Fullone, E.
AU  - Gloggengießer, S.
AU  - Gonzalez Sanchez, L.
AU  - Gordon, R. L.
AU  - Groussard, M.
AU  - Habibi, A.
AU  - Hansen, H. M. U.
AU  - Harding, E. E.
AU  - Hawkins, K.
AU  - Herff, S. A.
AU  - Holma, V. P.
AU  - Jakubowski, K.
AU  - Jol, M. G.
AU  - Kalsi, A.
AU  - Kandro, V.
AU  - Kelo, R.
AU  - Kotz, S. A.
AU  - Ladegam, G. S.
AU  - Laeng, B.
AU  - Lee, A.
AU  - Lense, M.
AU  - Lima, C. F.
AU  - Limmer, S. P.
AU  - Liu, C. K.
AU  - Martín Sánchez, P. d. C.
AU  - McEntyre, L.
AU  - Michael, J. P.
AU  - Mirman, D.
AU  - Moltrasio, J.
AU  - Müllensiefen, D.
AU  - Najafi, N.
AU  - Nokkala, J.
AU  - Nzonlang, N.
AU  - Oliveira, M. G. M.
AU  - Overy, K.
AU  - Oxenham, A. J.
AU  - Passarotto, E.
AU  - Plasse, M.-E.
AU  - Platel, H.
AU  - Poissonnier, A.
AU  - Provias, V.
AU  - Rajappa, N.
AU  - Ripolles, P.
AU  - Ritchie, M.
AU  - Menezes, I. R. R.
AU  - Román-Caballero, R.
AU  - Roncaglia, P.
AU  - Rubinstein, W.
AU  - Sa’adullah, F. Y.-A.
AU  - Saarikallio, S.
AU  - Sammler, D.
AU  - Samson, S.
AU  - Schellenberg, E. G.
AU  - Serres, N. R.
AU  - Slevc, L. R.
AU  - Souffiane, R.-N.
AU  - Strauch, F. J.
AU  - Strauss, H.
AU  - Tantengco, N.
AU  - Tervaniemi, M.
AU  - Thompson, R.
AU  - Timmers, R.
AU  - Toiviainen, P.
AU  - Trainor, L. J.
AU  - Tuske, C.
AU  - Villanueva, J.
AU  - von Bastian, C. C.
AU  - Whiteford, K. L.
AU  - Wood, E. A.
AU  - Worschech, F.
AU  - Zappa, A.
PY  - 2026
SN  - 2052-4463
DO  - 10.1038/s41597-026-06654-0
UR  - https://www.nature.com/sdata/
AB  - 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.
ER  -