Sheep Nocturnal Activity Dataset
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.19/7502 |
Resumo: | 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. |
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7160 |
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Sheep Nocturnal Activity Datasetsheep sleepposture monitoringinertial sensorsultrasound distance sensorMonitoring 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.Repositório Científico do Instituto Politécnico de ViseuMonteiro, AntónioGonçalves, PedroMarques, Maria R.Belo, Ana T.Braz, Fernando2023-01-04T15:18:57Z2022-09-142023-01-02T11:13:20Z2022-09-14T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.19/7502engMonteiro, António, Pedro Gonçalves, Maria R. Marques, Ana T. Belo, e Fernando Braz. «Sheep Nocturnal Activity Dataset». Data 7, n.º 9 (setembro de 2022): 134. https://doi.org/10.3390/data7090134.cv-prod-305475710.3390/data7090134info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-01-16T15:29:38Zoai:repositorio.ipv.pt:10400.19/7502Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:45:13.486129Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Sheep Nocturnal Activity Dataset |
title |
Sheep Nocturnal Activity Dataset |
spellingShingle |
Sheep Nocturnal Activity Dataset Monteiro, António sheep sleep posture monitoring inertial sensors ultrasound distance sensor |
title_short |
Sheep Nocturnal Activity Dataset |
title_full |
Sheep Nocturnal Activity Dataset |
title_fullStr |
Sheep Nocturnal Activity Dataset |
title_full_unstemmed |
Sheep Nocturnal Activity Dataset |
title_sort |
Sheep Nocturnal Activity Dataset |
author |
Monteiro, António |
author_facet |
Monteiro, António Gonçalves, Pedro Marques, Maria R. Belo, Ana T. Braz, Fernando |
author_role |
author |
author2 |
Gonçalves, Pedro Marques, Maria R. Belo, Ana T. Braz, Fernando |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico de Viseu |
dc.contributor.author.fl_str_mv |
Monteiro, António Gonçalves, Pedro Marques, Maria R. Belo, Ana T. Braz, Fernando |
dc.subject.por.fl_str_mv |
sheep sleep posture monitoring inertial sensors ultrasound distance sensor |
topic |
sheep sleep posture monitoring inertial sensors ultrasound distance sensor |
description |
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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-09-14 2022-09-14T00:00:00Z 2023-01-04T15:18:57Z 2023-01-02T11:13:20Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.19/7502 |
url |
http://hdl.handle.net/10400.19/7502 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Monteiro, António, Pedro Gonçalves, Maria R. Marques, Ana T. Belo, e Fernando Braz. «Sheep Nocturnal Activity Dataset». Data 7, n.º 9 (setembro de 2022): 134. https://doi.org/10.3390/data7090134. cv-prod-3054757 10.3390/data7090134 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799130923877269504 |