Brief description
Over the last decade, the Integrated Marine Observing System’s Animal Tracking Facility (formerly known as the Australian Animal Tracking And Monitoring System (AATAMS)) has established a permanent array of acoustic receivers around Australia to detect the movements of tagged marine animals in coastal waters. Simultaneously, the Animal Tracking Facility developed a centralised national database (https://animaltracking.aodn.org.au/) to encourage collaborative research across the user community and provide unprecedented opportunities to quantify individual behaviour across a broad range of taxa. Here we present the database and quality control procedures developed to collate 48.5 million valid detections from 1891 receiving stations. This dataset consists of detection data for 3523 tags deployed on 117 species (fish, sharks, rays, reptiles, and mammals), with distances travelled ranging from a few to thousands of kilometres. This dataset of acoustic detections 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.Lineage
Maintenance and Update Frequency: notPlannedNotes
CreditAustralia’s Integrated Marine Observing System (IMOS) is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent. It is operated by a consortium of institutions as an unincorporated joint venture, with the University of Tasmania as Lead Agent.
Ocean Tracking Network (OTN): in-kind support
Issued: 27 07 2017
Data time period: 18 11 2007 to 17 03 2017
text: uplimit=150; downlimit=0
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(Animal Tracking Facility - Data Access URL. This page is a point of access for all publicly accessible data collected by the IMOS Animal Tracking Facility as well as the data entry and upload point for facility members.)
uri :
https://animaltracking.aodn.org.au/
(Data paper in Scientific Data)
uri :
https://www.nature.com/articles/sdata2017206
(OGC WFS help documentation)
- global : 0ede6b3d-8635-472f-b91c-56a758b4e091
- DOI : DOI: 10.4225/69/5979810a7dd6f