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https://hdl.handle.net/1959.11/56584| Title: | The role of learning in making precision livestock technologies welfare-friendly: A virtual fencing case study-dataset | Contributor(s): | Kearton, Tellisa Renee (creator) ; Lee, Caroline (supervisor); Marini, Danila (supervisor) ; Cowley, Frances (supervisor) |
Publication Date: | 2021-04-26 | Handle Link: | https://hdl.handle.net/1959.11/56584 | Related Research Outputs: | https://hdl.handle.net/1959.11/56583 | Abstract/Context: | 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. | Publication Type: | Dataset | Fields of Research (FOR): | 070203 Animal Management 060801 Animal Behaviour |
Fields of Research (FoR) 2020: | 300302 Animal management 310901 Animal behaviour |
Socio-Economic Objective (SEO): | 830399 Livestock Raising not elsewhere classified 839901 Animal Welfare |
Socio-Economic Objective (SEO) 2020: | 109902 Animal welfare | Keywords: | Animal welfare Animal learning Controllability Sheep Virtual fencing |
Location: | Armidale, New South Wales, Australia; Waikerie, South Australia, Australia | HERDC Category Description: | X Dataset | Project: | The role of learning in making precision livestock technologies welfare-friendly: A virtual fencing case study | Dataset Managed By: | Tellisa Kearton | Rights Holder: | Tellisa Kearton | Dataset Stored at: | University of New England | Primary Contact Details: | Tellisa Kearton - tellisa.kearton@gmail.com | Dataset Custodian Details: | Tellisa Kearton - tellisa.kearton@gmail.com |
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| Appears in Collections: | Dataset School of Environmental and Rural Science |
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