Dancing to electronic dance music: sixteen dancers recorded with optical motion capture, June 2014 (Solberg and Jensenius)

One dance session of about fourteen minutes, recorded in the fourMs motion capture laboratory at the University of Oslo on 10 June 2014. Sixteen people danced together to a continuous DJ mix of four electronic dance music tracks while nine Qualisys Oqus 300 cameras recorded at 100 Hz, each dancer wearing a reflective marker on the head and one on the wrist of the dominant hand. These are the primary data of Solberg and Jensenius (2016) in Empirical Musicology Review, and the first of the two dance experiments described in the SMC 2016 methods paper.Read the tracking figures before using this. The recording is usable at the level of the group and not of the individual, and the record carries the measurement rather than the adjective. Sixteen dancers wore thirty-two markers; a median of fourteen are visible in any frame, and because tracking broke and recovered constantly the thirty-two markers appear as between 1043 and 2444 separate trajectories per track, with a median trajectory of 0.6 to 0.8 seconds. No dancer can be followed through the session and a head cannot be told from a wrist. The quantity of motion is supplied under two normalisations and the published one is confounded. Dividing the summed marker speed by the thirty-two markers worn, as the original analysis did, produces a figure that rises and falls with how many markers the cameras happened to see: it correlates with the visible-marker count at +0.44 to +0.62. Dividing by the markers actually visible removes that, leaving −0.09 to +0.09. Both columns are deposited so that the published figures can be reproduced and the corrected ones used. The commercial music, the video and the photographs are withheld. Stimulus segment boundaries are given in seconds so the analysis can be followed without the audio. Both studies were carried out for Ragnhild Torvanger Solberg's doctoral thesis, Experiences with electronic dance music: a multi-method study on associations between musical characteristics, embodiment and peak-pleasurable responses (University of Agder, 2018, ISBN 978-82-7117-876-5), which is partly a reprint of the articles these data support. The thesis is digitised by the National Library of Norway at https://urn.nb.no/URN:NBN:no-nb_digibok_2025070206093, where access is granted on request and directly to staff in the Norwegian higher-education sector. Funding. Recorded at the fourMs Lab, University of Oslo. No other funding is associated with these data.