About.html

The Smut Fungi Collection at the SNSB – Botanische Staatssammlung München (M) comprises about 7,800 herbarium specimens (230 type specimens) from more than 150 countries with a focus in Bavaria and the Alpes. Including more than 1,100 taxa, it is the largest collection of smut fungi (i.e., Ustilaginales, Urocystidales, Doassansiales, Georgefischeriales, Tilletiales, Microbotryales and Entorrhizales) in Europe and covers a large percentage of the world's known 1,500-2,000 smut fungi taxa. Smuts or smut fungi are characterized in their appearance by aggregated dark spore masses forming a dirty dust. They are the second largest group of plant parasitic Basidiomycota after the rust fungi and include important crop parasites such as corn smut (Mycosarcoma maydis, syn. Ustilago maydis).

The collection is set up by more than 1,200 collectors since nearly 200 years and is continuously growing. The first specimen was documented in 1830 from Bayreuth under the name Polycystis opaca F. Strauss (now Urocystis trientalis) on Trientalis europaea (M-0249827, see figure of the label). Specimens belonging to exsiccatae or exsiccata-like specimen series, as defined in IndExs - Index of Exsiccatae, make up a large part of the collection with around 63 % of the entire collection. A majority of the specimens were either collected, identified or studied by academic experts of smut fungi, among others Kalman Vánky (see his exsiccata Vanky, Ustil. Exs.) and Robert Bauer, Dominik Begerow and Meike Piepenbring with their working groups and students. Dagmar Triebel was curator for this fungal collection between 1989 and 2023. The collection is now scientifically curated by Anže Žerdoner Čalasan with technical assistance by Diane Falkenberg.

The Data Project and Service

Collection sites of the Erysiphales collection

anderes Karten-Bild aus DC?

The data project "The Smut Fungi at M" started in 2009 and continued as a side activity within the framework of several biodiversity informatics projects scientifically coordinated by D. Triebel. The data generation and domain-specific data curation in DWB modules was mainly done by Gudrun Kirchhof, D. Triebel and later on by Jean-Baptiste Chazalon. Tanja Weibulat and Markus Weiss helped with their expertise in biodiversity informatics and data processing. Sandra Kügel, Matthias Richter and Ingrid Sebek assisted at times with data management.

The original specimen labels were scanned using LabelScan v. 2.0, a software that provides an automatic recording of barcode labels and the simplified administration of image files (Hagedorn et al. 2000). The file information was imported in the DiversityCollection database by programming scripts developed by Wolfgang Reichert to have an easy and direct way of data transcription from digital label images. Illegible label texts were assigned to experts (e.g., for old hand writing or certain exsiccata series). The nomenclature and orthography of fungal names was taken according to the MycoBank and Index Fungorum and assignment of external identifiers. The host plant names were checked by Catalogue of Life and IPNI (International Plant Names Index). The kind of host-parasite relationship of the single named organisms is directly documented in the database. Historical locality information was retrospectively georeferenced and collector names as well as other agent names were disambiguated by assigning them to unique identifiers. If a specimen was included in an exsiccata series, the corresponding exsiccata series ID (IndExs Exsiccata ID) was added and a link to the IndExs web services was included.

The dataset "The Smut Fungi Collection at M" contributes to the strategic plan of the GBIF Germany node to close organisms gaps in GBIF occurrence data, in this case high quality data from economically important microfungi. Equally it diversifies the FAIR data content of the GBIF-hosted data portal Living Atlas of Nature in Germany (LAND).

Financial support for work of students is provided by the Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst, at times by the BayPFI programme of the SNSB. The project uses Diversity Workbench components. Since 2020, DWB implementation work is supported by the German Research Foundation DFG under the grant agreement number 442032008 (NFDI4Biodiversity). NFDI4Biodiversity is part of NFDI, the National Research Data Infrastructure in Germany.

The data project "The Smut Fungi at M" and – if not stated otherwise – its supporting files have been copyrighted © 2025–2025 by the SNSB – Botanische Staatssammlung München, Department of Mycology and SNSB IT Center .

Typing and other errors may occur. In such cases we kindly ask the user to contact the editorial staff at the SNSB – Botanische Staatssammlung München. Technical support is provided by the Staatliche Naturwissenschaftliche Sammlungen Bayerns, IT Center.

……………………………….to GBIF Portal, Dataset BSMsmutfungicoll

……………………………….to BPS Local Query Tool, Dataset BSMsmutfungicoll

……………………………….to LAND Portal, Dataset BSMsmutfungicoll

Stoffsammlung Korrektur About Seite ***

https://land.gbif.de/occurrence/search/?view=datasets&taxonKey=5&entity=d_79fb1e59-15e7-440b-ae93-6644efb429ce

https://www.gbif.org/dataset/79fb1e59-15e7-440b-ae93-6644efb429ce

Vortrag Waterford in Zenodo

ähnlich wie https://zenodo.org/records/12088171

Title: GBIF Germany Activities

Subtitle: Report from the GBIF-D Nodes System on common infrastructure, data mobilisation and capacity building

This lecture was part of the agenda of the 17th meeting of the participant nodes from GBIF Europe and Central Asia (GBIF ECA) and held by German node staff members in Waterford, Ireland (20 May 2025 - 23 May 2025). It describes the situation of the Global Information Facility (GBIF) in Germany (see https://www.gbif.org/country/DE/summary) in relation to a distributed national network of established data centers at recognized life and nature science organisations. The federated GBIF-D Node system in Germany works technically and organizationally closely together with the German National Research Data Infrastructure (NFDI), GFBio e.V. and NFDI4Biodiversity consortium (https://www.nfdi4biodiversity.org/en/ supported by the German Research Foundation DFG under the grant agreement number 442032008). This cooperation started in 2013 and facilitates activities in data hosting, data mobilisation and preservation. It is strengthening the efforts of the node to train data management and build informatics capacity, e.g., at ITCER Kenya.

Key words GBIF Germany, GBIF-D node system, NFDI, GFBio e.V., NFDI4Biodiversity, ITCER e.V.

in Zenodo NFDI4Biodiversity community