Description :
The University of Florida Herbarium (FLAS) in the Florida Museum of Natural History was established in 1891 by Peter H. Rolfs. Current holdings comprise approximately 460,000 botanical specimens including many historical specimens dating from the 1800's and early 1900's. The vascular plant collection (ca. 267,000 specimens) has an excellent representation of the flora of Florida and the southeastern United States, large holdings from the West Indies (esp. Haiti) and other Neotropical areas. The bryophyte and lichen collections (ca. 120,000 specimens) are worldwide in scope with an excellent representation of species from Florida and tropical areas such as Costa Rica, Venezuela and Brazil. The wood collection (16,000 samples) is worldwide in scope with a excellent representation of tropical woods. The algal collection includes ca. 2,000 specimens, mainly from Florida. The Fungal Herbarium contains ca. 55,000 specimens. The herbarium's collection catalog includes ca. 70,000 specimens, mainly vascular plants, including ca. 1,000 type specimens. Digital images are available for approximately 40,000 specimens. Support for the UF herbarium's computerization effort is provided by the Florida Museum of Natural History, UF / Institute of Food and Agricultural Sciences, United States Department of Agriculture (Hatch Project FLAS-HRB-04170), UF Libraries Digital Library Center, Florida Center for Library Automation, the Florida Museum Associates and the Andrew W. Mellon Foundation.
Link GBIF portal : https://www.gbif.org/dataset/b89d52a2-861d-4388-adad-c0da3d55fc78
Le jeu de données diffusé est issu d'un traitement automatique appliqué sur les données issues du GBIF. Les règles de l'INPN et plus globalement du SINP (en termes de périmètre et de contrôle sur les données) peuvent impliquer que l'ensemble des données du jeu source ne soit pas restitué dans le SINP.
The disseminated dataset stems from an automatic treatment applied to data coming from GBIF. INPN rules, and more generally SINP rules (in terms of perimeter and data quality controls) may imply that the whole of the source dataset might not be provided on the SINP platform.