General introduction
This dataset contains data collected in April and June 2022 as part of a research collaboration between Utrecht University (NL), Swedish University of Agricultural Sciences (SE), Inertia Technology B.V. (NL) and Menhammar Stuteri (SE) and is part of the PhD project of Rhana M. Aarts.
It is being made public both to act as supplementary data for publication and the PhD thesis of R. M. Aarts & Jeanne .I.M. Parmentier and in order for other researchers to use this data for future work.
It contains respiration sound data from fifteen Standardbred Warmblood Trotters (n=15) collected using a microphone attached close to the nostrils. The data was collected during a standardized exercise test on the track, whilst pulling a sulky. There are two different trotting speeds in this dataset (regular speed trot and high-speed trot).
The dataset consists of 2x 15 FLAC-files (total 30 FLAC-files) and there are two files for each horse: one regular speed trot and one high-speed trot segment. Additionally, there is one Excel-file containing information about the horses (age, sex, breed), trotting speeds, segment duration and file names.
Ethical statement
Signed written owner consent was obtained for all horses and the Ethics Committee for Animal Experiments, Uppsala, Sweden, approved the study (Dnr 5.8.18-04197/2022) in accordance with Swedish legislation on animal experiments.
Funding information
This project was funded by an European research fund (Eureka Eurostars: E!114697).
Acknowledgements
The authors would like to thank all people involved in the data collection (Zala Zgank, Ineke Smit, Ebba Zetterberg, Guillherme Camargo Ferraz) and the drivers and grooms of Menhammar Stuteri. They would also like to thank everyone involved in the project: Mihai Marin-Perianu, Raluca Marin-Perianu, Elin Hernlund, Filipe Serra Bragança and Johan Hellander.
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