Sheep Nocturnal Activity Dataset

António Monteiro (), Pedro Gonçalves, Maria R. Marques, Ana T. Belo and Fernando Braz
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António Monteiro: Instituto Politécnico de Viseu, CERNAS—Centro de Recursos Naturais, Ambiente e Sociedade, Escola Superior Agrária, Quinta da Alagoa-Estrada de Nelas, 3500-606 Viseu, Portugal
Pedro Gonçalves: Instituto de Telecomunicações and Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, 3830-193 Aveiro, Portugal
Maria R. Marques: Instituto Nacional de Investigação Agrária e Veterinária I.P. (INIAV), Avenida Professor Vaz Portugal, 2005-424 Vale de Santarém, Portugal
Ana T. Belo: Instituto Nacional de Investigação Agrária e Veterinária I.P. (INIAV), Avenida Professor Vaz Portugal, 2005-424 Vale de Santarém, Portugal
Fernando Braz: Instituto Federal Catarinense–Campus Araquari, Araquari 89245-000, Brazil

Data, 2022, vol. 7, issue 9, 1-11

Abstract: Monitoring sheep’s behavior is of paramount importance, because deviations from normal patterns may indicate nutritional, thermal or social stress, changes in reproductive status, health issues, or predator attacks. The night period, despite being a more restful period in which animals are theoretically sleeping and resting, represents approximately half of the life cycle of animals; therefore, its study is of immense interest. Wearable sensors have become a widely recognized technique for monitoring activity, both for their precision and the ease with which the sensorized data can be analyzed. The present dataset consists of data from the sensorization of 18 Serra da Estrela sheep, during the nocturnal period between 18 November 2021 and 16 February 2022. The data contain measurements taken by ultrasound and accelerometry of the height from neck to ground, as well as measurements taken by an accelerometer in the monitoring collar. Data were collected every 10 s when the animals were in the shelter. With the collection of data from various sensors, active and inactive periods can be identified throughout the night, quantifying the number and average time of those periods.

Keywords: sheep sleep; posture monitoring; inertial sensors; ultrasound distance sensor (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2022
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