Audio recordings dataset of grazing jaw movements in dairy cattle.

Autor:	Vanrell SR; Research Institute for Signals, Systems and Computational Intelligence, sinc(i) (FICH-UNL/CONICET), Ciudad Universitaria, Santa Fe, Argentina., Chelotti JO; Research Institute for Signals, Systems and Computational Intelligence, sinc(i) (FICH-UNL/CONICET), Ciudad Universitaria, Santa Fe, Argentina., Bugnon LA; Research Institute for Signals, Systems and Computational Intelligence, sinc(i) (FICH-UNL/CONICET), Ciudad Universitaria, Santa Fe, Argentina., Rufiner HL; Research Institute for Signals, Systems and Computational Intelligence, sinc(i) (FICH-UNL/CONICET), Ciudad Universitaria, Santa Fe, Argentina.; Laboratorio de Cibernética, Facultad de Ingeniería, Universidad Nacional de Entre Ríos, Oro Verde, Argentina., Milone DH; Research Institute for Signals, Systems and Computational Intelligence, sinc(i) (FICH-UNL/CONICET), Ciudad Universitaria, Santa Fe, Argentina., Laca EA; Department of Plant Sciences, University of California, Davis, USA., Galli JR; Facultad de Ciencias Agrarias, Universidad Nacional de Rosario, Zavalla, Argentina.; Instituto de Investigaciones en Ciencias Agrarias de Rosario, IICAR (UNR/CONICET), Zavalla, Argentina.
Jazyk:	angličtina
Zdroj:	Data in brief [Data Brief] 2020 Apr 30; Vol. 30, pp. 105623. Date of Electronic Publication: 2020 Apr 30 (Print Publication: 2020).
DOI:	10.1016/j.dib.2020.105623
Abstrakt:	This dataset is composed of correlated audio recordings and labels of ingestive jaw movements performed during grazing by dairy cattle. Using a wireless microphone, we recorded sounds of three Holstein dairy cows grazing short and tall alfalfa and short and tall fescue. Two experts in grazing behavior identified and labeled the start, end, and type of each jaw movement: bite, chew, and chew-bite (compound movement). For each segment of raw audio corresponding to a jaw movement we computed four well-known features: amplitude, duration, zero crossings, and envelope symmetry. These features are in the dataset and can be used as inputs to build automated methods for classification of ingestive jaw movements. Cow's grazing behavior can be monitored and characterized by identifying and analyzing these masticatory events. (© 2020 The Author(s).)
Databáze:	MEDLINE
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