Quantifying error in occurrence data: Comparing the data quality of iNaturalist and digitized herbar...
Quantifying error in occurrence data: Comparing the data quality of iNaturalist and digitized herbarium specimen data in flowering plant families of the southeastern United States
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Publisher
United States: Public Library of Science
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Language
English
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United States: Public Library of Science
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Scope and Contents
Contents
iNaturalist has the potential to be an extremely rich source of organismal occurrence data. Launched in 2008, it now contains over 150 million uploaded observations as of May 2023. Based on the findings of a limited number of past studies assessing the taxonomic accuracy of participatory science-driven sources of occurrence data such as iNaturalist...
Alternative Titles
Full title
Quantifying error in occurrence data: Comparing the data quality of iNaturalist and digitized herbarium specimen data in flowering plant families of the southeastern United States
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TN_cdi_plos_journals_3072930243
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3072930243
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0295298
