Data

Oceanographic Regionalisation Data for Australia (from CSIRO Bioregionalisation Project 1996)

Australian Ocean Data Network
CSIRO O&A, Information & Data Centre (Point of contact)
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/91777fa8-bb1c-40e2-aa5f-619c566963ad&rft.title=Oceanographic Regionalisation Data for Australia (from CSIRO Bioregionalisation Project 1996)&rft.identifier=Anzlic Identifier: ANZCW0306001021&rft.publisher=Australian Ocean Data Network&rft.description=This dataset presents an oceanographic regionalisation for the Australian region using a multivariate pattern classification system, constructed as part of the CSIRO Bioregionalisation Project. The oceanographic regionalisation comprises an analysis of temperature, dissolved oxygen, salinity, nitrate, phosphate and silicate variability with season and depth. Data sources include research vessels, satellites, and surface drifters, and in particular the archive of vertical profiles of temperature, salinity, oxygen and nutrients comprising over 130,000 stations in the seas adjacent to Australia collected as part of the Division of Oceanography's Oceans-EEZ Analysis System.Progress Code: completedMaintenance and Update Frequency: unknownStatement: Data collected by research vessels, satellites, and surface drifters were mapped to uniform spatial grids with resolution appropriate to the original data density. Data were aggregated using the weighted least squares quadratic smoother of Cleveland and Devlin (1988), known as a loess smoother. Regionalisations from selected attributes are displayed in the appendix of maps and comprise a set of regionalisations for each of the 3 layers: 0 - 50m, 150m and 800 - 1000m.&rft.creator=Anonymous&rft.date=1998&rft.coverage=westlimit=112; southlimit=-47.5; eastlimit=158; northlimit=-8&rft.coverage=westlimit=112; southlimit=-47.5; eastlimit=158; northlimit=-8&rft_rights=Report: no restrictions. Other data: release with permission of the custodian.&rft_subject=oceans&rft_subject=COASTAL HABITAT&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=AQUATIC ECOSYSTEMS&rft_subject=MARINE HABITAT&rft_subject=BEACHES&rft_subject=OCEANS&rft_subject=COASTAL PROCESSES&rft_subject=ROCKY COASTS&rft_subject=NITRATE&rft_subject=OCEAN CHEMISTRY&rft_subject=OXYGEN&rft_subject=PHOSPHATE&rft_subject=SILICATE&rft_subject=WATER TEMPERATURE&rft_subject=OCEAN TEMPERATURE&rft_subject=SALINITY&rft_subject=SALINITY/DENSITY&rft_subject=Nutrient Analysers&rft_subject=Thermometers&rft_subject=Thermosalinographs&rft_subject=XBTs (Expendable Bathythermographs)&rft_subject=Marine Features (Australia) | Australian EEZ&rft_subject=Marine Bioregionalisation Project (OR2000) 1994-1997&rft_subject=Practical salinity of the water body&rft_subject=Temperature of the water body&rft_subject=thermosalinographs&rft_subject=bathythermographs&rft_subject=research vessel&rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

view details

Report: no restrictions. Other data: release with permission of the custodian.

Access:

Other

Contact Information



Brief description

This dataset presents an oceanographic regionalisation for the Australian region using a multivariate pattern classification system, constructed as part of the CSIRO Bioregionalisation Project. The oceanographic regionalisation comprises an analysis of temperature, dissolved oxygen, salinity, nitrate, phosphate and silicate variability with season and depth. Data sources include research vessels, satellites, and surface drifters, and in particular the archive of vertical profiles of temperature, salinity, oxygen and nutrients comprising over 130,000 stations in the seas adjacent to Australia collected as part of the Division of Oceanography's Oceans-EEZ Analysis System.

Lineage

Progress Code: completed
Maintenance and Update Frequency: unknown
Statement: Data collected by research vessels, satellites, and surface drifters were mapped to uniform spatial grids with resolution appropriate to the original data density. Data were aggregated using the weighted least squares quadratic smoother of Cleveland and Devlin (1988), known as a "loess" smoother. Regionalisations from selected attributes are displayed in the appendix of maps and comprise a set of regionalisations for each of the 3 layers: 0 - 50m, 150m and 800 - 1000m.

Notes

Credit
Data and analysis compiled by CSIRO Divisions of Fisheries and Oceanography, 1996. Project funded by ERIN/OR2000 funds.
Credit
CSIRO Division of Oceanography: John Wilkin
Credit
Jeff Dunn
Credit
Rosemary O'Connor
Credit
Jan Petersen
Credit
Ken Ridgway
Credit
Alison Walker
Credit
Jim Mansbridge. CSIRO Division of Fisheries: Vince Lyne
Credit
Peter Last. Antarctic Division: Dr Lee Belbin

Data time period: 1996

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related Organisations

Related People

158,-8 158,-47.5 112,-47.5 112,-8 158,-8

135,-27.75

text: westlimit=112; southlimit=-47.5; eastlimit=158; northlimit=-8

Subjects
AQUATIC ECOSYSTEMS | Beaches | BIOSPHERE | Coastal Habitat | COASTAL PROCESSES | EARTH SCIENCE | Marine Habitat | Marine Bioregionalisation Project (OR2000) 1994-1997 | Marine Features (Australia) | Australian EEZ | Nitrate | Nutrient Analysers | OCEAN CHEMISTRY | OCEAN TEMPERATURE | OCEANS | Oxygen | Phosphate | Practical salinity of the water body | Rocky Coasts | Salinity | SALINITY/DENSITY | Silicate | Temperature of the water body | Thermometers | Thermosalinographs | Water Temperature | XBTs (Expendable Bathythermographs) | bathythermographs | oceans | research vessel | thermosalinographs |

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
  • global : 91777fa8-bb1c-40e2-aa5f-619c566963ad
  • Local : Marlin Record Number: 1021
  • Local : Anzlic Identifier: ANZCW0306001021
Similar data you may be interested in: