Programming code for article: Predicting energy expenditure from dynamic body acceleration in a large boreal ungulate species

Dataset

DOI

These files contain code to prepare data for and fit a dynamic generalized additive model to predict energy heart rate and energy expenditure from dynamic body acceleration in moose (Alces alces). In this study, we collected heart rate data using implanted loggers and accelerometer data using tri-axial accelerometer collars. To quantify heart rate measurement accuracy, we manually validated heart rates calculated by the loggers by manually calculating heart rate from raw ECG data. The dynamic generalized additive model can be used to predict heart rate from tri-axial accelerometer data. In this study, we calculated energy expenditure from heart rate using a previously published equation.

R, 4.3.1.

Identifier
DOI	https://doi.org/10.18710/3EB2DM
Related Identifier	IsCitedBy https://doi.org/10.1186/s40317-025-00440-2
Metadata Access	https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/3EB2DM

Provenance
Creator	Kirchner, Theresa M ; Devineau, Olivier ; Thompson, Daniel P; Thiel, Alexandra ; Chimienti, Marianna ; Evans, Alina L ; Crouse, John; Eriksen, Ane
Publisher	DataverseNO
Contributor	Kirchner, Theresa M; University of Inland Norway
Publication Year	2025
Funding Reference	Alaska Department of Fish and Game AKW-4 Project No. 1.63 ; Inland Norway University, Department of Forestry and Wildlife Management
Rights	CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess	true
Contact	Kirchner, Theresa M (Max Planck Institute of Animal Behavior)

Representation
Resource Type	Dataset
Format	text/plain; type/x-r-syntax
Size	2582; 8371; 14029; 7668; 3384; 5162; 8647; 12790; 7188
Version	1.1
Discipline	Life Sciences; Medicine