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Audio recordings dataset of grazing jaw movements in dairy cattle

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 behavi...

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Autores principales: Vanrell, Sebastián R., Chelotti, José O., Bugnon, Leandro A., Rufiner, H. Leonardo, Milone, Diego H., Laca, Emilio A., Galli, Julio R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214825/
https://www.ncbi.nlm.nih.gov/pubmed/32420421
http://dx.doi.org/10.1016/j.dib.2020.105623
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author Vanrell, Sebastián R.
Chelotti, José O.
Bugnon, Leandro A.
Rufiner, H. Leonardo
Milone, Diego H.
Laca, Emilio A.
Galli, Julio R.
author_facet Vanrell, Sebastián R.
Chelotti, José O.
Bugnon, Leandro A.
Rufiner, H. Leonardo
Milone, Diego H.
Laca, Emilio A.
Galli, Julio R.
author_sort Vanrell, Sebastián R.
collection PubMed
description 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.
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spelling pubmed-72148252020-05-15 Audio recordings dataset of grazing jaw movements in dairy cattle Vanrell, Sebastián R. Chelotti, José O. Bugnon, Leandro A. Rufiner, H. Leonardo Milone, Diego H. Laca, Emilio A. Galli, Julio R. Data Brief Agricultural and Biological Science 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. Elsevier 2020-04-30 /pmc/articles/PMC7214825/ /pubmed/32420421 http://dx.doi.org/10.1016/j.dib.2020.105623 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Agricultural and Biological Science
Vanrell, Sebastián R.
Chelotti, José O.
Bugnon, Leandro A.
Rufiner, H. Leonardo
Milone, Diego H.
Laca, Emilio A.
Galli, Julio R.
Audio recordings dataset of grazing jaw movements in dairy cattle
title Audio recordings dataset of grazing jaw movements in dairy cattle
title_full Audio recordings dataset of grazing jaw movements in dairy cattle
title_fullStr Audio recordings dataset of grazing jaw movements in dairy cattle
title_full_unstemmed Audio recordings dataset of grazing jaw movements in dairy cattle
title_short Audio recordings dataset of grazing jaw movements in dairy cattle
title_sort audio recordings dataset of grazing jaw movements in dairy cattle
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214825/
https://www.ncbi.nlm.nih.gov/pubmed/32420421
http://dx.doi.org/10.1016/j.dib.2020.105623
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