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

Hoenner, Xavier, Huveneers, Charlie, Streckenreuter, 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, and Harcourt, Robert (2018) Australia's continental-scale acoustic tracking database and its automated quality control process. Scientific Data, 5. 170206.

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Abstract

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.

Item ID: 57631
Item Type: Article (Research - C1)
ISSN: 2052-4463
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Copyright Information: © The Author(s) 2018. 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.
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Research Data: https://doi.org/10.4225/69/5979810a7dd6f
Date Deposited: 22 Mar 2019 05:09
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0804 Data Format > 080403 Data Structures @ 50%
06 BIOLOGICAL SCIENCES > 0602 Ecology > 060205 Marine and Estuarine Ecology (incl Marine Ichthyology) @ 50%
SEO Codes: 96 ENVIRONMENT > 9608 Flora, Fauna and Biodiversity > 960808 Marine Flora, Fauna and Biodiversity @ 50%
89 INFORMATION AND COMMUNICATION SERVICES > 8903 Information Services > 890301 Electronic Information Storage and Retrieval Services @ 50%
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