Yugra State University Biological Collection (Khanty-Mansiysk, Russia): general and digitisation overview

Autor: Nina Filippova, Galina Ganasevich, Ilya Filippov, Anastasia Meshcheryakova, Elena Lapshina, Dmitry Karpov
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Biodiversity Data Journal, Vol 10, Iss , Pp 1-20 (2022)
Druh dokumentu: article
ISSN: 1314-2828
DOI: 10.3897/BDJ.10.e77669
Popis: The history of biological collections and digitisation initiatives in northern West Siberia is relatively new due to recent development of the region. The Center for Biodiversity Data Mobilization was established to promote the initiative, led by the Yugra State University. This organisation itself has a relatively young collection of biological specimens, which was, until recently, in a disintegrated state and only partly mobilised. The Yugra State University Biological Collection (YSU BC) currently includes three subdivisions differring by history and taxonomic groups, but also by details of management and storage conditions: the Fungarium, the Bryological collection and the Herbarium collection of YSU.The paper describes the general structure of the Yugra State University Biological Collection, its history, storage conditions, management practices, geographical, temporal and taxonomical coverage. The paper is underlined by three datasets of the collections databases published in GBIF, which are described in detail. The databases are managed in Specify 6 and 7 software and accessed through Specify Web Portal and through GBIF.The Yugra State University Biological Collection made an active reorganisation of physical storage conditions and data management recently, providing the model for other collections in the region. This paper describes the history, general structure, management practices and data management of all three parts of this collection for the first time.Although one part of the collection (Fungarium YSU) was mobilised earlier, last year, we mobilised data of the Bryological and Vascular plants (Herbarium) collections. The three datasets of the corresponding collections in GBIF were increased by about 6000 georeferenced records during the last year.
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