From Australian Oceans Data Network

Australia's Census of Antarctic Marine Life project - IYGPT Data collected on the CEAMARC cruise

Created 12/03/2025

Updated 12/03/2025

Australia's Census of Antarctic Marine Life project. This project is a part of the international "Census of Antarctic Marine Life" (CAML) which was conducted during the International Polar Year. It was a collaborative contribution by Australia and France to understand the biodiversity of the oceans surrounding Antarctica, with particular emphasis on the fishes of the eastern part of the Australian Antarctic Territory. The biodiversity data, when added to that obtained by all other nations participating in the CAML, serves as a robust reference for future examinations of the health of the Southern Ocean, and assists in the conservation and management of the region. Field sampling for this project was undertaken in the 2007/08 season, commencing in December and finishing in February 2008. Three ships surveyed the area with a range of traditional and modern sampling gear, including IYGPT (International Young Gadoid Pelagic Trawl (marine science equipment)) gear.

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Field Value
Title Australia's Census of Antarctic Marine Life project - IYGPT Data collected on the CEAMARC cruise
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/177146d6-0151-40a4-bd98-0145d4e5c7c2
Contact Point
CSIRO Oceans & Atmosphere
metadata@aad.gov.au
Reference Period 17/12/2007 - 26/01/2008
Geospatial Coverage {"type": "Polygon", "coordinates": [[[139.3, -67.0547], [145.5347, -67.0547], [145.5347, -61.9748], [139.3, -61.9748], [139.3, -67.0547]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Australia's Census of Antarctic Marine Life project - IYGPT Data collected on the CEAMARC cruise". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/australias-census-of-antarctic-marine-life-project-iygpt-data-collected-on-the-ceamarc-cruise

No duplicate datasets found.