Makes biodiversity data free and available on the web. VertNet is designed to help people discover, capture, and publish biodiversity data. It is also the core of a collaboration between hundreds of biocollections that contribute biodiversity data and work together to improve it. VertNet is an engine for training current and future professionals to use and build upon best practices in data quality, curation, research, and data publishing. Yet, VertNet is still the aggregate of all of the information that it mobilizes.

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VertNet classification

VertNet specifications

Restrictions to use:
None
Community driven:
No
User data submission:
Not allowed
Programming languages:
Python
Data access:
Web user interface

Publications

  • (Guralnick et al., 2016) The importance of digitized biocollections as a source of trait data and a new VertNet resource. Database.
    DOI: 10.1093/database/baw158

VertNet support

Documentation

Credits

Institution(s)

University of Florida Museum of Natural History University of Florida at Gainesville, Gainesville, FL, USA; Departamento de Ecologıa, Genetica y Evolucion, Instituto IEGEBA (CONICET-UBA), Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina; Institut de Recherche sur la Biologie de l’Insecte, UMR 7261 CNRS, Université Francois Rabelais, Tours, France; Museum of Vertebrate Zoology University of California, Berkeley, CA, USA; Biodiversity Institute University of Kansas, Lawrence, KS, USA

Funding source(s)

This work was supported from NSF for VertNet (NSF DBI 1062148) and VertLife (NSF DEB 1441737), which helped enable this work.

Link to literature

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