Dataset Information

Ferns at the digital herbarium of the Central Siberian Botanical Garden SB RAS.

ABSTRACT:

Background

According to the data in Index Herbariorum as of 1 December 2020, there are 3426 active herbaria in the world, containing 396,204,891 specimens and 124 herbaria in Russia with more than 16,175,000 specimens. The Central Siberian Botanical Garden of the Siberian Branch of the Russian Academy of Sciences (CSBG SB RAS, Novosibirsk), founded in 1946, historically has two herbarium collections (NS and NSK). Currently these collections contain about 800,000 herbarium specimens comprising vascular plants, mosses, lichens and fungi gathered from all over the world. Digitisation of the NSK type specimens of vascular plants began in 2014 by using the special scanner Herbscan. In 2018, we started digitisation of the NS and NSK collections by using ObjectScan 1600.Pteridophytes (ferns, lycophytes and their extinct free-sporing relatives) are a diverse group of plants that today comprises approximately 12,900 species and plays a major role in terrestrial ecosystems. All herbarium specimens of ferns, collected over 170 years between 1851 and 2021 and stored in the NS and NSK collections, were digitised in 2021, placed at the CSBG SB RAS digital Herbarium (http://herb.csbg.nsc.ru:8081) and published through GBIF. Twenty families of Polypodiopsida, but not Equisetaceae, were included in this dataset. Family Ophioglossaceae was digitised and published in GBIF as a separate dataset.

New information

By August 2021, more than 62,600 specimens with good quality images and fully-captured label transcriptions had been placed at CSBG SB RAS Digital Herbarium. A total of 7,758 records of fern occurrences of 363 taxa in the world with 92% geolocations including 5100 records from Russia with 98.7% geolocations that are new for GBIF.org in 2021 were entered. In the dataset specimens from 43 countries of Europe, Asia, America, Africa and Australia (Oceania), 89% of them from Russia, are presented.

SUBMITTER: Kovtonyuk N

PROVIDER: S-EPMC8463524 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundThe current data paper aims to interlink the African plant collections of the Meise Botanic Garden Herbarium (BR) and the Royal Museum for Central Africa Xylarium (Tw). Complementing both collections strengthens the reference value of each institutional collection, as more complete metadata are made available and it enables increased quality control for the identification of wood specimens. Furthermore, the renewed connection enables the linking of available wood trait data with data on phenology, leaf morphology or even molecular information for many tree species, allowing assessments of performance of individual trees. In addition to studies at the interspecific level, comparisons at the intraspecific level become possible, which could lead to important new insights into resilience to and impact of global change, as well as biodiversity conservation or forest management of Central African forest ecosystems.New informationBy interlinking the Tervuren Xylarium Wood database with the recently digitised herbarium of Meise Botanic Garden, we were able to establish a link between 6,621 xylarium and 9,641 herbarium records for 6,953 plant specimens. Both institutional databases were complemented with reliable specimen metadata. The Tervuren xylarium now profits from taxonomic revisions made by botanists at Meise Botanic Garden and a list of phenotypical features for woody African species can be extended with wood anatomical descriptors. New metadata from the Tw xylarium records were used to add the country of collection to 50 linked BR herbarium specimens for which this information was missing. Furthermore, metadata available from the labels on digitised BR herbarium specimens was used to update Tw xylarium records with the date of collection (817 records), collection locality (698 records), coordinates (482 records) and altitude (817 records). In conclusion, we created a reference database with reliable botanic identities which can be used in a range of studies, such as modelling analyses, community assessments or trait analyses, all framed in a spatiotemporal context. Furthermore, the linked collections hold historical reference data and specimens that can be studied in the context of global changes.

Dataset Information

Ferns at the digital herbarium of the Central Siberian Botanical Garden SB RAS.

Background

New information

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets