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Australia’s continental-scale acoustic tracking database and its automated quality control process

Our ability to predict species responses to environmental changes relies on accurate records of animal movement patterns. Continental-scale acoustic telemetry networks are increasingly being established worldwide, producing large volumes of information-rich geospatial data. During the last decade, t...

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Autores principales: Hoenner, Xavier, Huveneers, Charlie, Steckenreuter, Andre, Simpfendorfer, Colin, Tattersall, Katherine, Jaine, Fabrice, Atkins, Natalia, Babcock, Russ, Brodie, Stephanie, Burgess, Jonathan, Campbell, Hamish, Heupel, Michelle, Pasquer, Benedicte, Proctor, Roger, Taylor, Matthew D., Udyawer, Vinay, Harcourt, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789868/
https://www.ncbi.nlm.nih.gov/pubmed/29381146
http://dx.doi.org/10.1038/sdata.2017.206
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author Hoenner, Xavier
Huveneers, Charlie
Steckenreuter, Andre
Simpfendorfer, Colin
Tattersall, Katherine
Jaine, Fabrice
Atkins, Natalia
Babcock, Russ
Brodie, Stephanie
Burgess, Jonathan
Campbell, Hamish
Heupel, Michelle
Pasquer, Benedicte
Proctor, Roger
Taylor, Matthew D.
Udyawer, Vinay
Harcourt, Robert
author_facet Hoenner, Xavier
Huveneers, Charlie
Steckenreuter, Andre
Simpfendorfer, Colin
Tattersall, Katherine
Jaine, Fabrice
Atkins, Natalia
Babcock, Russ
Brodie, Stephanie
Burgess, Jonathan
Campbell, Hamish
Heupel, Michelle
Pasquer, Benedicte
Proctor, Roger
Taylor, Matthew D.
Udyawer, Vinay
Harcourt, Robert
author_sort Hoenner, Xavier
collection PubMed
description Our ability to predict species responses to environmental changes relies on accurate records of animal movement patterns. Continental-scale acoustic telemetry networks are increasingly being established worldwide, producing large volumes of information-rich geospatial data. During the last decade, the Integrated Marine Observing System’s Animal Tracking Facility (IMOS ATF) established a permanent array of acoustic receivers around Australia. Simultaneously, IMOS developed a centralised national database to foster collaborative research across the user community and quantify individual behaviour across a broad range of taxa. Here we present the database and quality control procedures developed to collate 49.6 million valid detections from 1891 receiving stations. This dataset consists of detections for 3,777 tags deployed on 117 marine species, with distances travelled ranging from a few to thousands of kilometres. Connectivity between regions was only made possible by the joint contribution of IMOS infrastructure and researcher-funded receivers. This dataset constitutes a valuable resource facilitating meta-analysis of animal movement, distributions, and habitat use, and is important for relating species distribution shifts with environmental covariates.
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spelling pubmed-57898682018-02-07 Australia’s continental-scale acoustic tracking database and its automated quality control process Hoenner, Xavier Huveneers, Charlie Steckenreuter, Andre Simpfendorfer, Colin Tattersall, Katherine Jaine, Fabrice Atkins, Natalia Babcock, Russ Brodie, Stephanie Burgess, Jonathan Campbell, Hamish Heupel, Michelle Pasquer, Benedicte Proctor, Roger Taylor, Matthew D. Udyawer, Vinay Harcourt, Robert Sci Data Data Descriptor Our ability to predict species responses to environmental changes relies on accurate records of animal movement patterns. Continental-scale acoustic telemetry networks are increasingly being established worldwide, producing large volumes of information-rich geospatial data. During the last decade, the Integrated Marine Observing System’s Animal Tracking Facility (IMOS ATF) established a permanent array of acoustic receivers around Australia. Simultaneously, IMOS developed a centralised national database to foster collaborative research across the user community and quantify individual behaviour across a broad range of taxa. Here we present the database and quality control procedures developed to collate 49.6 million valid detections from 1891 receiving stations. This dataset consists of detections for 3,777 tags deployed on 117 marine species, with distances travelled ranging from a few to thousands of kilometres. Connectivity between regions was only made possible by the joint contribution of IMOS infrastructure and researcher-funded receivers. This dataset constitutes a valuable resource facilitating meta-analysis of animal movement, distributions, and habitat use, and is important for relating species distribution shifts with environmental covariates. Nature Publishing Group 2018-01-30 /pmc/articles/PMC5789868/ /pubmed/29381146 http://dx.doi.org/10.1038/sdata.2017.206 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Hoenner, Xavier
Huveneers, Charlie
Steckenreuter, Andre
Simpfendorfer, Colin
Tattersall, Katherine
Jaine, Fabrice
Atkins, Natalia
Babcock, Russ
Brodie, Stephanie
Burgess, Jonathan
Campbell, Hamish
Heupel, Michelle
Pasquer, Benedicte
Proctor, Roger
Taylor, Matthew D.
Udyawer, Vinay
Harcourt, Robert
Australia’s continental-scale acoustic tracking database and its automated quality control process
title Australia’s continental-scale acoustic tracking database and its automated quality control process
title_full Australia’s continental-scale acoustic tracking database and its automated quality control process
title_fullStr Australia’s continental-scale acoustic tracking database and its automated quality control process
title_full_unstemmed Australia’s continental-scale acoustic tracking database and its automated quality control process
title_short Australia’s continental-scale acoustic tracking database and its automated quality control process
title_sort australia’s continental-scale acoustic tracking database and its automated quality control process
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789868/
https://www.ncbi.nlm.nih.gov/pubmed/29381146
http://dx.doi.org/10.1038/sdata.2017.206
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