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2024
Journal article
Permits, contracts and their terms for biodiversity specimens.
We present two different typologies of legal/contractual information in the context of natural history objects: the Biodiversity Permit/Contract Typology categorises permits and contracts, and the Typology of Legal/Contractual Terms for Biodiversity Specimens categorises the terms within permits and contracts. The Typologies have been developed under the EU-funded SYNTHESYS+ project with... -
2019
Abstract
Addressing Uncertainties in Machine Learning Predictions of Conservation Status.
Extinction risk assessments are increasingly important to many stakeholders (Bennun et al. 2017) but there remain large gaps in our knowledge about the status of many species. The IUCN Red List of Threatened Species (IUCN 2019, hereafter Red List) is the most comprehensive assessment of extinction risk. However, it includes...Walker, Barnaby ; Leão, Tarciso ; Bachman, Steven ; Lucas, Eve ; Nic Lughadha, Eimear
Conservation assessment, Machine learning, Natural history collections, Uncertainty, and IUCN Red List
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2020
Journal article
People are essential to linking biodiversity data.
People are one of the best known and most stable entities in the biodiversity knowledge graph. The wealth of public information associated with people and the ability to identify them uniquely open up the possibility to make more use of these data in biodiversity science. Person data are almost always...Groom, Quentin ; Güntsch, Anton ; Huybrechts, Pieter ; Kearney, Nicole ; Leachman, Siobhan …
Natural history collections, Specimen data, Biodiversity data, Collectors, and Metadata
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2022
Journal article
Harnessing Large-Scale Herbarium Image Datasets Through Representation Learning.
The mobilization of large-scale datasets of specimen images and metadata through herbarium digitization provide a rich environment for the application and development of machine learning techniques. However, limited access to computational resources and uneven progress in digitization, especially for small herbaria, still present barriers to the wide adoption of these...Walker, Barnaby E. ; Tucker, Allan ; Nicolson, Nicky
Machine learning, Natural history collections, Digitized herbarium specimens, Deep learning, and Computer vision
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2020
Journal article
No one-size-fits-all solution to clean GBIF.
Species occurrence records provide the basis for many biodiversity studies. They derive from georeferenced specimens deposited in natural history collections and visual observations, such as those obtained through various mobile applications. Given the rapid increase in availability of such data, the control of quality and accuracy constitutes a particular concern.... -
2020
Journal article
Plant and fungal collections: Current status, future perspectives.
Societal Impact Statement Plant and fungal specimens provide the auditable evidence that a particular organism occurred at a particular place, and at a particular point in time, verifying past occurrence and distribution. They also document the aspects of human exploration and culture. Collectively specimens form a global asset with significant...