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Search Results
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2017
Conference paper (published)
Identifying Novel Features from Specimen Data for the Prediction of Valuable Collection Trips.
Primary biodiversity data provide “what, where, and when” data points: the assertion that a species occurred at a particular point in space and time. These are most valuable when associated with specimens stored in natural history museums and herbaria, which evidence the assertions with reference to a physical specimen. The...Nicolson, Nicky ; Tucker, Allan
Collecting trip, Identification, Specimen data, Data-mining, Collectors, and Metadata
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2019
Abstract
Integrating Collector and Author Roles Across Specimen and Publication Datasets.
This work builds on the outputs of a collector data-mining exercise applied to GBIF mobilised herbarium specimen metadata, which uses unsupervised learning (clustering) to identify collectors from minimal metadata associated with field collected specimens (the DarwinCore terms , and ). Here, we outline methods to integrate these data-mined collector entities...Nicolson, Nicky ; Paton, Alan ; Phillips, Sarah ; Tucker, Allan