AusTraits Plant Dictionary
currentAusTraits Plant Dictionary version 1.1.0
superseded
http://vocabs.ardc.edu.au/repository/api/sparql/austraits_austraits-plant-dictionary_austraits-plant-dictionary-version-1-1-0
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version 1.0.0
superseded
http://vocabs.ardc.edu.au/repository/api/sparql/austraits_austraits-plant-dictionary_version-1-0-0
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Visit https://traitecoevo.github.io/APD/ to explore the dictionary.
Languages
English
Notes
The AusTraits Plant Dictionary (APD) is comprised of two separate schemes, w3id.org/APD/traits and w3id.org/APD/glossary.
APD/traits includes the trait definitions, together with trait groupings, and categorical trait values. The trait definitions identifiers all follow the pattern `trait_#######`, the trait grouping identifers follow the pattern `trait_group_######`, and the categorical trait values are character strings that merge together the relevent trait label and categorical trait value.
APD/glossary offers definitions for terms used in trait definitions or as keywords that could not be located in published vocabularies. Identifiers for glossary terms follow the pattern `glossary_#####`.
APD supports AusTraits, a database of Australian plant traits. AusTraits
is an open-source, harmonized database of Australian plant trait data. It synthesises data on nearly 500 traits across more than 30,000 taxa from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Begun in 2016 as an initiative between three lab groups, it has grown to be the largest collation of plant trait data for Australian plants.
AusTraits integrates plant trait data collected by researchers from diverse disciplines, including functional plant biology, plant physiology, plant taxonomy, and conservation biology. By harmonizing and error checking values, linking all AusTraits data entries to detailed metadata, and documenting trait and trait values definitions, AusTraits is a resource researchers can trust and use for their research agendas with minimal additional filtering or manipulations. It can be accessed at doi.org/10.5281/zenodo.3568417
An AusTraits data paper was published in Scientific Data in 2021 and is available at: 10.1038/s41597-021-01006-6.
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