Data
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://marlin.csiro.au/geonetwork/srv/eng/catalog.search#/metadata/4c72fe3b-bddf-44da-a809-1791033a6ac5&rft.title=The Australian Chlorophyll a Database (1965 onwards)&rft.identifier=4c72fe3b-bddf-44da-a809-1791033a6ac5&rft.publisher=Australian Ocean Data Network&rft.description=Chlorophyll a is the most commonly used indicator of phytoplankton biomass and is a proxy for primary productivity in the marine environment. It is relatively simple and cost effective to measure when compared to phytoplankton abundance and is thus routinely included in many surveys. Here we collate 173,333 records of chlorophyll a collected since 1965 from Australian waters gathered from researchers, from regular coastal monitoring surveys to long ocean voyages. This dataset concentrates on samples analysed using spectrophotometry, fluorometry and high performance liquid chromatography (HPLC). The Australian Chlorophyll a database is freely available through the Australian Ocean Data Network portal (http://imos.aodn.org.au/). These data can be used in isolation as an index of phytoplankton biomass or in combination with other data to provide insight into water quality, ecosystem state, and / or the relationships with other trophic levels such as zooplankton or fish.Progress Code: onGoingMaintenance and Update Frequency: asNeededStatement: The data sources are varied and the data does not belong to the custodian of this schema, so the quality of the data cannot be verified. Persons should refer to the Marlin metadata record for each of the projects included for further information.&rft.creator=Anonymous&rft.date=2015&rft.coverage=westlimit=99.94; southlimit=-67.2; eastlimit=179.92; northlimit=-5.05; projection=WGS 84 (EPSG:4326)&rft.coverage=westlimit=99.94; southlimit=-67.2; eastlimit=179.92; northlimit=-5.05; projection=WGS 84 (EPSG:4326)&rft.coverage=uplimit=-10; downlimit=-1000&rft.coverage=uplimit=-10; downlimit=-1000&rft_rights=Data access constraints vary with each individual project. Please check with custodian, details as described in IMOS_ACD_METADATA.&rft_subject=oceans&rft_subject=Earth Science | Oceans | Ocean Chemistry | Chlorophyll&rft_subject=Boats and Small Vessels&rft_subject=Spectrophotometers&rft_subject=HPLC (High Performance Liquid Chromatography)&rft_subject=Niskin Bottles&rft_subject=Fluorometers&rft_subject=Countries | Australia&rft_subject=CMAR Marine Plankton&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

view details

Data access constraints vary with each individual project.

Please check with custodian, details as described in IMOS_ACD_METADATA.

Access:

Other

Full description

Chlorophyll a is the most commonly used indicator of phytoplankton biomass and is a proxy for primary productivity in the marine environment. It is relatively simple and cost effective to measure when compared to phytoplankton abundance and is thus routinely included in many surveys. Here we collate 173,333 records of chlorophyll a collected since 1965 from Australian waters gathered from researchers, from regular coastal monitoring surveys to long ocean voyages. This dataset concentrates on samples analysed using spectrophotometry, fluorometry and high performance liquid chromatography (HPLC). The Australian Chlorophyll a database is freely available through the Australian Ocean Data Network portal (http://imos.aodn.org.au/). These data can be used in isolation as an index of phytoplankton biomass or in combination with other data to provide insight into water quality, ecosystem state, and / or the relationships with other trophic levels such as zooplankton or fish.

Lineage

Progress Code: onGoing
Maintenance and Update Frequency: asNeeded
Statement: The data sources are varied and the data does not belong to the custodian of this schema, so the quality of the data cannot be verified. Persons should refer to the Marlin metadata record for each of the projects included for further information.

Notes

Credit
We acknowledge the contributions from all collaborators and their institutions. If data from multiple projects are used, please acknowledge this publication; if individual project data are used, please acknowledge use of data as per the custodian information. We would also encourage data users to enter into collaboration with the researchers involved in the data they use – understanding the history of a project will add value to your research. The relevant acknowledgement data is available from the metadata files attached to the data.
Credit
If using data from Project 599 the National Reference Stations please use the following acknowledgement: “Data sourced from the Integrated Marine Observing System (IMOS) – IMOS is a national collaborative research infrastructure, supported by the Australian Government.” Similarly, for Project 806, please use the following acknowledgement: “A part of the data included in the database was obtained with support from the Great Barrier Reef Marine Park Authority, through funding from the Australian Government Reef Program and from the Australian Institute of Marine Science”. For Project 1129 the information is supplied on the condition that if used in a study or publication the Department of Water is acknowledged as the source of the information. Citations may take the following form: • Water INformation (WIN) database - discrete sample data. [Date provided]. Department of Water, Water Information section, Perth Western Australia. • Hydstra database - time-series data. [Date provided]. Department of Water, Water Information section, Perth Western Australia.
Credit
Claire H. Davies1
Credit
Penelope Ajani2
Credit
Linda Armbrecht3
Credit
Natalia Atkins4
Credit
Jason Beard5
Credit
Prudence Bonham1
Credit
Michele Burford6
Credit
Lesley Clementson1
Credit
Peter Coad7
Credit
Christine Crawford5
Credit
Jocelyn Dela-Cruz8
Credit
Samantha Duggan9
Credit
Steven Edgar10
Credit
Ruth Eriksen1,5
Credit
Miles Furnas9
Credit
Daniel P. Harrison11
Credit
Christel Hassler12
Credit
Xavier Hoenner4
Credit
Tim Ingleton8
Credit
Ian Jameson1
Credit
John Keesing14
Credit
Sophie C. Leterme15
Credit
M. James McLaughlin14
Credit
Margaret Miller10
Credit
David Moffatt16
Credit
Andrew Moss17
Credit
Sasi Nayar18
Credit
Nicole L. Patten18
Credit
Renee Patten19
Credit
Sarah A. Pausina10,20
Credit
Roger Proctor4
Credit
Malcolm Robb21
Credit
Peter Rothlisberg10
Credit
Emily A. Saeck6
Credit
Peter Scanes22
Credit
Kerrie M. Swadling5,23
Credit
Peter Thompson1
Credit
Paul G. Thomson24
Credit
Julian Uribe-Palomino10
Credit
Paul van Ruth18
Credit
Anya M. Waite24,25
Credit
Simon Wright26
Credit
Anthony J. Richardson10,27
Credit
Affiliations 1. CSIRO Oceans and Atmosphere, Castray Esplanade, Hobart, TAS 7000, Australia 2. Climate Change Cluster (C3),University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia 3. Department of Biological Sciences, Marine Research Centre, Macquarie University, North Ryde, NSW 2109, Australia 4. Australian Ocean Data Network, Integrated Marine Observing System University of Tasmania, Private Bag 110, Hobart, Tasmania, 7001, Australia 5. Institute for Marine and Antarctic Studies, University of Tasmania, Private Bag 129, TAS 7001, Australia 6. Australian Rivers Institute, Griffith University, Nathan, QLD 4111, Australia 7. Natural Resources, Hornsby Shire Council, 296 Peats Ferry Rd, Hornsby NSW 2077, Australia 8. Waters, Wetlands and Coasts Science Branch, NSW Office of Environment and Heritage, PO Box A290, Sydney South, NSW 1232, Australia 9. Australian Institute of Marine Science, PMB No 3, Townsville MC, Townsville, QLD 4810, Australia 10. CSIRO Oceans and Atmosphere, EcoSciences Precinct, GPO Box 2583, Dutton Park, QLD 4102, Australia 11. Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, NSW 2088, Australia 12. Institute F.-A. Forel, Earth and Environmental Sciences, University of Geneva, 66 Bvd Carl-Vogt, 1211 Geneva 4, Switzerland 13. CSIRO National Collections and Marine Infrastructure, Castray Esplanade, Hobart, TAS 7000, Australia 14. CSIRO Oceans and Atmosphere, Indian Ocean Marine Research Centre (UWA), M097 35 Stirling Highway, Crawley, WA 6009, Australia 15. School of Biological Sciences, Flinders University, GPO BOX 2100, Adelaide, SA 5001, Australia 16. Ecosystem Health Monitoring Program, Department of Science, Information Technology and Innovation, GPO Box 5078, Brisbane QLD 4001, Australia 17. Environmental Monitoring and Assessment Sciences, Science Division, Department of Science, Information Technology and Innovation, GPO Box 5078, Brisbane QLD 4001, Australia 18. South Australian Research and Development Institute – Aquatic Sciences, PO Box120, Henley Beach, SA 5022, Australia 19. Environment Protection Authority, Centre for Applied Science, Ernest Jones Drive, Macleod, VIC 3085, Australia. 20. School of Biological Sciences, The University of Queensland, St Lucia Qld 4072, Australia 21. Department of Water, Water Information and Modelling, Level 8, 168 St. Georges Terrace Perth, Australia 22. Estuary and Catchment Science, NSW Office of Environment and Heritage, PO Box A290, Sydney South, NSW 1232, Australia 23. Antarctic Climate and Ecosystems Cooperative Research Centre, Private bag 80, Hobart, TAS 7001, Australia 24. School of Civil, Environmental and Mining Engineering and the UWA Oceans Institute, The University of Western Australia, Crawley, WA 6009, Australia 25. Alfred Wegener Institute, Helmholz Centre for Polar and Marine Research, Am Handelshafen 12, D-27570 Bremerhaven, Germany and University of Bremen, 28359 Bremen, Germany 26. Southern Ocean Ecosystem Change program, Australian Antarctic Division and Antarctic Climate and Ecosystems Cooperative Research Centre, 203 Channel Hwy Kingston, Tas 7050 Australia 27. Centre for Applications in Natural Resource Mathematics (CARM), School of Mathematics and Physics, The University of Queensland, St Lucia, Queensland 4072, Australia

Data time period: 1965

This dataset is part of a larger collection

Click to explore relationships graph

179.92,-5.05 179.92,-67.2 99.94,-67.2 99.94,-5.05 179.92,-5.05

139.93,-36.125

text: westlimit=99.94; southlimit=-67.2; eastlimit=179.92; northlimit=-5.05; projection=WGS 84 (EPSG:4326)

text: uplimit=-10; downlimit=-1000

Other Information
Identifiers
  • global : 4c72fe3b-bddf-44da-a809-1791033a6ac5