Moscow Digital Herbarium and Atlas of the Russian Flora initiative
ID: 613 / 216
Proposed Symposium Title: Moscow Digital Herbarium and Atlas of the Russian Flora initiative
Alexey P. Seregin
Affiliations: Lomonosov Moscow State University, Moscow, Russia
A web-resource, the Moscow Digital Herbarium (https://plant.depo.msu.ru/), was launched by Lomonosov Moscow State University in October, 2016 for publication of specimens imaged and databased in the Moscow University Herbarium (MW). From 2015 to 2018, a commercial partner scanned 93% of the regular herbarium collections at 300 dpi and 100% of the types at 600 dpi. Since 2019, Moscow Digital Herbarium became a consortium of Russian herbaria with nine active members (MW, MHA, IRKU, KUZ, TUL, TULGU, KULPOL, TKM, MAG). As of August 2023, database contained 1,266,139 specimens with 1,244,376 images covering 36,171 species of vascular plants and bryophytes. These data are available in GBIF as nine independent datasets and updated in a weekly synchronization mode. Gradually, we started to publish extended metadata on our portal, like full transcriptions of labels and georeferences, i.e. the coordinates of collection sites for each specimen. Two thirds of records (890,356 specimens) are currently georeferenced and 600,424 specimens have complete label transcriptions. Atlas of the Russian Flora is a new initiative for producing grid maps of native vascular plants of the country. This initiative is integrated into the Moscow Digital Herbarium and employs different data sources merged into a single FLORUS dataset. Ca. 6.5M+ records (700K grid records) were used to produce 9,000 grid maps with 100×100 km squares. This dataset includes pre-cleaned GBIF data (including data from the Moscow Digital Herbarium), complete data from the Flora of Russia project on iNaturalist, as well as previously unpublished records. The taxonomy is given against the Catalogue of Life associated with the accepted names in the Moscow Digital Herbarium. The work was supported by a grant from the Russian Science Foundation (project No. 21-77-20042, https://rscf.ru/en/project/21-77-20042/).