Dataset Persistent ID
|
doi:10.57715/UNR/T7SDAX |
Publication Date
|
2022-07-27 |
Title
| Dataset: Audio recordings of grazing jaw movements in dairy cattle |
Author
| Vanrell, Sebastián Rodrigo (Research Institute for Signals, Systems and Computational Intelligence, sinc(i) (FICH-UNL/CONICET)) - ORCID: 0000-0002-2377-9331
Chelotti, José (Research Institute for Signals, Systems and Computational Intelligence, sinc(i) (FICH-UNL/CONICET)) - ORCID: 0000-0003-2365-1298
Bugnon, Leandro (Research Institute for Signals, Systems and Computational Intelligence, sinc(i) (FICH-UNL/CONICET)) - ORCID: 0000-0001-5702-946X
Rufiner, Hugo Leonardo (Research Institute for Signals, Systems and Computational Intelligence, sinc(i) (FICH-UNL/CONICET)) - ORCID: 0000-0002-1083-5891
Milone, Diego (Research Institute for Signals, Systems and Computational Intelligence, sinc(i) (FICH-UNL/CONICET)) - ORCID: 0000-0003-2182-4351
Laca, Emilio (Department of Plant Sciences, University of California, Davis) - ORCID: 0000-0002-7551-0721
Galli, Julio R. (Facultad de Ciencias Agrarias, Universidad Nacional de Rosario) - ORCID: 0000-0003-3230-3180 |
Contact
|
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Admin, Dataverse (Dataverse.org) |
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. (2020-06)
Value of the data: .
We provide a fully labeled dataset of cattle grazing behavior comprising raw audios, labels for jaw movement, and extracted features.
To the best of our knowledge, this is the first dataset on acoustic monitoring of ruminant behavior fully available to the scientific community.
Jaw-movement recognition is the basis for studying nutrition, forage intake and welfare of ruminant livestock.
This dataset provides audio recordings of the ingestion of two pastures (alfalfa and fescue), each at two heights (short and tall).
The dataset can be used to develop signal processing and machine learning methods for jaw-movement detection, segmentation, and classification.
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Subject
| Agricultural Sciences; Computer and Information Science |
Keyword
| Cattle grazing behavior
Ingestive behavior
Acoustic monitoring
Signal processing
Feature extraction
Cattle feeding (AGROVOC) http://aims.fao.org/aos/agrovoc/c_41079579
Grazing (AGROVOC) http://aims.fao.org/aos/agrovoc/c_25243
Monitoring (AGROVOC) https://agrovoc.fao.org/browse/agrovoc/en/page/c_54b338c3
Audio recordings (AGROVOC) https://agrovoc.fao.org/browse/agrovoc/en/page/c_be63e1ca
Bioacoustics (AGROVOC) https://agrovoc.fao.org/browse/agrovoc/en/page/c_2b6a3fb9
Signal processing (AGROVOC) https://agrovoc.fao.org/browse/agrovoc/en/page/c_35f7b1d4 |
Topic Classification
| Ciencia veterinaria (FORD) https://biblioteca.mincyt.gob.ar/ford/4.3
Ciencia animal e industria ganadera (FORD) https://biblioteca.mincyt.gob.ar/ford/4.2
Ciencias de la computación e información (FORD) https://biblioteca.mincyt.gob.ar/ford/1.2 |
Related Publication
| Vanrell, S. R., Chelotti, J. O., Bugnon, L. A., Rufiner, H. L., Milone, D. H., Laca, E. A., & Galli, J. R. (2020). Audio recordings dataset of grazing jaw movements in dairy cattle. Data in brief, 30, 105623. doi: j.dib.2020.105623 https://doi.org/10.1016/j.dib.2020.105623 |
Notes
| Parameters for data collection: Cows grazing two forage species (pure alfalfa or pure tall fescue), each at two heights (tall and short) Description of data collection: Audios were recorded on three cows grazing on two forage species in individual grazing sessions: pure alfalfa or pure fescue microswards at two heights (tall or short) |
Language
| English |
Production Place
| Campo Experimental J.F. Villarino, Facultad de Ciencias Agrarias, Universidad Nacional de Rosario |
Grant Information
| Universidad Nacional de Rosario: 80020180300053UR
Agencia Santafesina de Ciencia, Tecnología e Innovación (ASACTEI): IO-2018-00082
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET): 2017-PUE-sinc(i) |
Distribution Date
| 2020-05-05 |
Depositor
| Galli, Julio R. |
Deposit Date
| 2022-07-05 |
Kind of Data
| sound; http://purl.org/coar/resource_type/c_18cc; Audio recordings (WAV, mono, 16-bits, 22.05 kHz); Jaw-movement labels (TXT, tabular separated values); Jaw-movement features (CSV) |
Data Sources
| Audio recordings were acquired using a wireless microphone (Nady 151 VR, Nady Systems, Oakland, CA, USA) Two experts in animal behavior identified events and added labels for start, end and type Features file was obtained by processing raw audio recordings |
Origin of Sources
| Institution: Campo Experimental J.F. Villarino, Facultad de Ciencias Agrarias, Universidad Nacional de Rosario |