Chopra, Kareemah and Codling, Edward A. 2023. Dairy herd bunching metrics and ambient temperatures. [Dataset]. Colchester, University of Essex. 10.5526/ERDR-00000180
A real-time local positioning system was used to track the spatial position and activity of a commercial dairy herd (c100 cows) in a freestall barn continuously at high temporal resolution. Bunching was determined using four different spatial measures determined on an hourly b100asis: herd full and core range size, mean herd inter-cow distance (ICD), and mean herd nearest neighbor distance (NND). Wall-mounted temperature sensors automatically recorded the ambient barn temperature (BT) continuously throughout the study period. A mean hourly measurement was calculated across all sensors (n = 26 sensors, where n = 22 recorded every eight seconds and n = four recorded every hour).
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Division: | Faculty of Science and Health > Mathematical Sciences, Department of | ||||||||||||
Subjects: | Q Science > QA Mathematics Q Science > QL Zoology S Agriculture > SF Animal culture T Technology > TD Environmental technology. Sanitary engineering |
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Research funder: | UK Biotechnology and Biological Sciences Research Council | ||||||||||||
Grant reference: | BB/K002562/1 | ||||||||||||
Grant title: | Assessment of Dairy Cow Welfare through Predictive Modelling of Individual and Social Behaviour | ||||||||||||
Depositor: | Kareemah Chopra | ||||||||||||
Date Deposited: | 04 Jul 2023 11:47 | ||||||||||||
Last Modified: | 04 Jul 2023 11:47 | ||||||||||||
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