Data

The role of learning in making precision livestock technologies welfare-friendly: A virtual fencing case study-dataset

University of New England, Australia
Kearton, Tellisa ; Lee, Caroline ; Marini, Danila ; Cowley, Frances
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://hdl.handle.net/1959.11/56584&rft.title=The role of learning in making precision livestock technologies welfare-friendly: A virtual fencing case study-dataset&rft.identifier=https://hdl.handle.net/1959.11/56584&rft.publisher=University of New England&rft.description=This dataset was produced during the course of PhD candidature. It consists of measures of welfare including behaviour, plasma cortisol, and body temperature. Additionally, it contains measures of learning using a number of stimuli received and behavioural responses. Data is organised by experiment, and results are contained within subfolders.&rft.creator=Kearton, Tellisa &rft.creator=Lee, Caroline &rft.creator=Marini, Danila &rft.creator=Cowley, Frances &rft.date=2021&rft_rights=Rights holder: Tellisa Kearton&rft_subject=Animal Management&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=ANIMAL PRODUCTION&rft_subject=Animal Behaviour&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ZOOLOGY&rft_subject=Livestock Raising not elsewhere classified&rft_subject=ANIMAL PRODUCTION AND ANIMAL PRIMARY PRODUCTS&rft_subject=LIVESTOCK RAISING&rft_subject=Animal Welfare&rft_subject=OTHER ANIMAL PRODUCTION AND ANIMAL PRIMARY PRODUCTS&rft_subject=Animal management&rft_subject=Animal production&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft_subject=Animal behaviour&rft_subject=Zoology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Animal welfare&rft_subject=Other animal production and animal primary products&rft_subject=ANIMAL PRODUCTION AND ANIMAL PRIMARY PRODUCTS&rft.type=dataset&rft.language=English Access the data

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Rights holder: Tellisa Kearton

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tellisa.kearton@gmail.com

Full description

This dataset was produced during the course of PhD candidature. It consists of measures of welfare including behaviour, plasma cortisol, and body temperature. Additionally, it contains measures of learning using a number of stimuli received and behavioural responses. Data is organised by experiment, and results are contained within subfolders.

Issued: 2021-04-26

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