Accelerometer sampling requirements for animal behaviour classification and estimation of energy expenditure
Published 2023 View Full Article
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Title
Accelerometer sampling requirements for animal behaviour classification and estimation of energy expenditure
Authors
Keywords
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Journal
Animal Biotelemetry
Volume 11, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-07-16
DOI
10.1186/s40317-023-00339-w
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- Annual 10-Month Aerial Life Phase in the Common Swift Apus apus
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