A database of zooplankton biomass in Australian marine waters

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  • Felicity R. McEnnulty, CSIRO
  • ,
  • Claire H. Davies, CSIRO
  • ,
  • Asia O. Armstrong, University of Queensland
  • ,
  • Natalia Atkins, University of Tasmania
  • ,
  • Frank Coman, CSIRO
  • ,
  • Lesley Clementson, CSIRO
  • ,
  • Steven Edgar, CSIRO
  • ,
  • Ruth S. Eriksen, CSIRO
  • ,
  • Jason D. Everett, CSIRO, University of Queensland, University of New South Wales
  • ,
  • J. Anthony Koslow, University of California at San Diego
  • ,
  • Christian Lønborg
  • A. David McKinnon, Australian Institute of Marine Science
  • ,
  • Margaret Miller, CSIRO
  • ,
  • Todd D. O’Brien, NOAA
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  • Sarah A. Pausina, CSIRO, University of Queensland
  • ,
  • Julian Uribe-Palomino, CSIRO
  • ,
  • Wayne Rochester, CSIRO
  • ,
  • Peter C. Rothlisberg, CSIRO
  • ,
  • Anita Slotwinski, CSIRO
  • ,
  • Joanna Strzelecki, CSIRO
  • ,
  • Iain M. Suthers, University of New South Wales, Sydney Institute of Marine Science
  • ,
  • Kerrie M. Swadling, University of Tasmania
  • ,
  • Mark L. Tonks, CSIRO
  • ,
  • Paul D. van Ruth, South Australian Research and Development Institute
  • ,
  • Jock W. Young, CSIRO
  • ,
  • Anthony J. Richardson, CSIRO, University of Queensland

Zooplankton biomass data have been collected in Australian waters since the 1930s, yet most datasets have been unavailable to the research community. We have searched archives, scanned the primary and grey literature, and contacted researchers, to collate 49187 records of marine zooplankton biomass from waters around Australia (0–60°S, 110–160°E). Many of these datasets are relatively small, but when combined, they provide >85 years of zooplankton biomass data for Australian waters from 1932 to the present. Data have been standardised and all available metadata included. We have lodged this dataset with the Australian Ocean Data Network, allowing full public access. The Australian Zooplankton Biomass Database will be valuable for global change studies, research assessing trophic linkages, and for initialising and assessing biogeochemical and ecosystem models of lower trophic levels.

Original languageEnglish
Article number297
JournalScientific Data
Volume7
Issue1
ISSN2052-4463
DOIs
Publication statusPublished - 2020

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