Abstract
Centipedes of the family Geophilidae s.l. are widespread in the Holarctic, with the South-Eastern part of the European Alps standing out as one of the most investigated regions. However, retrieving the published records for this taxon, even for this region, is challenging, since most of them are sparse in the specialistic literature, and interpreting them is hampered by the many taxonomic and nomenclatorial changes occurred in the past and recent times. We assembled and released a dataset of occurrence records of the geophilid species in the South-Eastern Alps, including all the published records and many other records present in unpublished catalogs of scientific collections. For each record, we integrated information from all the sources about: locality, date of collection, the taxonomic identifications, number and sex of individuals, and available sequences of molecular markers. For all the records we estimated geographic coordinates of the locality, when not originally provided, based on the information available. We also estimated the accuracy of the position. The dataset includes 3293 records referred to 39 species, obtained since the first half of the XIX century and up to 2022; 52% of these records have been released publicly for the first time in the dataset here described.
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ARPHA Preprints
https://doi.org/10.3897/arphapreprints.e122321 (06 Mar 2024)
https://doi.org/10.3897/arphapreprints.e122321 (06 Mar 2024)
Published in: Biodiversity Data Journal https://doi.org/10.3897/BDJ.12.e122144
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ARPHA Preprints
doi:
10.3897/arphapreprints.e122321
First posted
06 Mar 2024
Authors
Luca Gregnanin
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Università di Padova, Padova, Italy
Università di Padova, Padova, Italy
National Biodiversity Future Centre, Palermo, Italy
Conflict of interest
The authors have declared that no competing interests exist.
Supporting agencies
This research was supported by the Italian Ministry of University and Research (project funded by the European Union - Next Generation EU: “PNRR Missione 4 Componente 2, “Dalla ricerca all’impresa”, Investimento 1.4, Progetto CN00000033”).
This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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