European stag beetle monitoring network: transect observations

Dataset type

This dataset that contains primary occurrence data for species.

Description

<p>European stag beetle monitoring network: transect observations is an occurrence dataset published by the Research Institute of Nature and Forest (INBO). This dataset contains transect data for Lucanus cervus, collected using a standard protocol (European stag beetle monitoring network ESBMN).</p>

<p>The ESBMN is a European citizen science projects with participants from the Research Institute for Nature and Forest, Natuurpunt, University of Zagreb, insectes.org, Hirschkäferfreunde-Nature two e.V., Centro di ricerca Difesa e Certificazione, Reparto Carabinieri Biodiversità di Verona, Natural History Museum “La Specola”, University of Florence, European Invertebrate Survey, University of Wrocław, Associação Bioliving, Belgorod State University, National Institute of Biology, Rey Juan Carlos University, Switserland, I.I.Schmalhausen Institute of Zoology, National Academy of Sciences of Ukraine, People’s Trust for Endangered Species, the Royal Hollway University of London and independent researchers.</p>

<p>Issues with the dataset can be reported at https://github.com/inbo/meetnetten-occurrences/issues</p>;

<p>We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don&#39;t hesitate to contact us via the contact information provided in the metadata or via opendata&#64;inbo.be.</p>

Type of content

Includes: Point occurrence data, gbif import.

Citation

Thomaes A, Barbalat S, Bardiani M, Bower L, Campanaro A, Soutinho J G, Harvey D, Hawes C, Kadej M, Méndez M, Rink M, Rossi De Gasperis S, Ruyts S, Šerić Jelaska L, Smit J, Smolis A, Vrezec A, Brosens D (2023). European stag beetle monitoring network: transect observations. Version 1.9. Research Institute for Nature and Forest (INBO). Occurrence dataset https://doi.org/10.15468/j69hbu accessed via GBIF.org on 2024-11-06.

Digitised records

Metadata last updated on 2024-11-14 23:46:23.0