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Part of MONSTER: https://arxiv.org/abs/2502.15122.
InsectSound, taken from the broader UCR archive, consists of 50,000 (univariate) time series, each of length 600, representing recordings of wingbeats for six species of insects, with 2 different genders for 4 of the 6 species [1, 2]. This version of the dataset has been split into stratified random cross-validation folds.
[1] Yanping Chen, Adena Why, Gustavo Batista, Agenor Mafra-Neto, and Eamonn Keogh. (2014). Flying insect classification with inexpensive sensors. Journal of Insect Behavior, 27(5):657–677.
[2] Yanping Chen. Flying insect classification with inexpensive sensors. https://sites.google.com/site/insectclassification/ (via Internet Archive), 2014. Public Domain.
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