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Antarctic Diatom Database (based on 115 surface samples)

Created 24/06/2017

Updated 24/06/2017

JSON RDF ISO19115-3 XML

All the available data sets containing diatom counts were compiled. These data sets were the 166 database used by Pichon et al. (1992), new data gathered separately by Dr Pichon (1994) and the author (L. Armand-1997), and Abbott's (1973) southeast Indian Ocean surface sample data set.

Since each of the data sets were developed over periods of years or were subject to differences in processing and taxonomy, primary analysis was concerned with aligning current taxonomic advances and knowledge against the record of species identified in each data. With exception only to the Abbott southeast Indian Ocean data set (which could no longer be located for verification), the remaining data sets were combined and subjected to taxonomic reform.

Following taxonomic reform a core-top diatom database was compiled using sample-selection criteria and through the removal of samples representing unique environmental regimes (i.e. Antarctic Peninsula region). A total of 115 samples from an original 194 remained available for use, and is identified as the Antarctic Diatom Database (ADB).

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Additional Info

Field Value
Title Antarctic Diatom Database (based on 115 surface samples)
Language English
Licence Creative Commons Attribution 2.5 Australia
Landing Page https://devweb.dga.links.com.au/data/dataset/67d8b216-12a6-4579-8801-f29e35c7179a
Contact Point
Department of Biological Sciences, Macquarie University
leanne.armand@mq.edu.au
Geospatial Coverage {"type": "Polygon", "coordinates": [[[120.0, -70.0], [180.0, -70.0], [180.0, 90.0], [120.0, 90.0], [120.0, -70.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Antarctic Diatom Database (based on 115 surface samples)". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/antarctic-diatom-database-based-on-115-surface-samples

Original dataset
Dataset copies

No duplicate datasets found.