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Filtered Data from the Retrospective Analysis of Antarctic Tracking Data Project from the Scientific Committee on Antarctic Research
Citation
Yan Ropert-Coudert, Anton P. Van de Putte, Horst Bornemann, Jean-Benoît Charrassin, Daniel P. Costa, Bruno Danis, Luis A. Hückstädt, Ian D. Jonsen, Mary-Anne Lea, Ryan R. Reisinger, David Thompson, Leigh G. Torres, Philip N. Trathan, Simon Wotherspoon, David G. Ainley, Rachael Alderman, Virginia Andrews-Goff, Ben Arthur, Grant Ballard, … Mark A. Hindell. (2020). Filtered Data from the Retrospective Analysis of Antarctic Tracking Data Project from the Scientific Committee on Antarctic Research [Data set]. In Scientific Data (Vol. 7, Number 94). https://doi.org/10.4225/15/5afcadad6c130
Contact: Ropert-Coudert, Yan
Availability: Creative Commons License This dataset is licensed under a Creative Commons Attribution 4.0 International License.
Description
The Retrospective Analysis of Antarctic Tracking Data (RAATD) is a Scientific Committee for Antarctic Research (SCAR) project led jointly by the Expert Groups on Birds and Marine Mammals and Antarctic Biodiversity Informatics, and endorsed by the Commission for the Conservation of Antarctic Marine Living Resources. The RAATD project team consolidated tracking data for multiple species of Antarctic meso- and top-predators to identify Areas of Ecological Significance. These datasets constitute the compiled tracking data from a large number of research groups that have worked in the Antarctic since the 1990s. more

This metadata record pertains to the "filtered" version of the data files. These files contain position estimates that have been processed using a state-space model in order to estimate locations at regular time intervals. For technical details of the filtering process, consult the data paper. The filtering code can be found in the https://github.com/SCAR/RAATD repository.


This data set comprises one metadata csv file that describes all deployments, along with data files (3 files for each of 17 species). For each species there is:

  1. - an RDS file that contains the fitted TMB filter model object and model predictions (this file is RDS format that can be read by the R statistical software package)
  2. - a PDF file that shows the quality control results for each individual model
  3. - a CSV file containing the interpolated position estimates


For details of the file contents and formats, consult the data paper.


The original copy of these data are available through the Australian Antarctic Data Centre (https://data.aad.gov.au/metadata/records/SCAR_EGBAMM_RAATD_2018_Filtered)


The data are also available in a standardized version (see https://data.aad.gov.au/metadata/records/SCAR_EGBAMM_RAATD_2018_Standardised) that contain position estimates as provided by the original data collectors (generally, raw Argos or GPS locations, or estimated GLS locations) without state-space filtering.

Scope
Themes:
Biology > Birds, Biology > Mammals
Keywords:
Marine/Coastal, Predators, Tagging, Tracking, PS, Antarctica, PS, Southern Ocean, Aves, Mammalia
Geographical coverage
PS, Antarctica [Marine Regions]
PS, Southern Ocean [Marine Regions]
Taxonomic coverage
Aves [WoRMS]
Mammalia [WoRMS]
Parameter
Occurrence of biota
Contributors
Université de La Rochelle; Centre d’Etudes Biologiques de Chizé (CEBC), more, data creator
Ropert-Coudert, Yan
Koninklijk Belgisch Instituut voor Natuurwetenschappen (IRScNB/KBIN), more, data creator
Van de Putte, Anton
Related datasets
Other relations:
The Retrospective Analysis of Antarctic Tracking (Standardised) Data from the Scientific Committee on Antarctic Research, more
The Retrospective Analysis of Antarctic Tracking (Standardised) Data from the Scientific Committee on Antarctic Research, more
Publication
Describing this dataset
Ropert-Coudert, Y. et al. (2020). The retrospective analysis of Antarctic tracking data project. Scientific Data 7(1): 94. https://hdl.handle.net/10.1038/s41597-020-0406-x, more
Dataset status: Completed
Data type: Data
Data origin: Data collection
Metadatarecord created: 2022-11-22
Information last updated: 2022-11-22
All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy