DNA metabarcoding data of arthropods from lower mountain range regions in southwest Germany

Sampling event
Latest version published by GBIF Secretariat on Apr 21, 2026 GBIF Secretariat
Home:
https://doi.org/10.20363/zc0n-5a36
Publication date:
21 April 2026
Published by:
GBIF Secretariat
License:
CC-BY 4.0

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 98 records in English (2 MB) - Update frequency: daily
Metadata as an EML file download in English (24 KB)
Metadata as an RTF file download in English (17 KB)

Description

The dataset comprises presence data on arthropods, but also on the groups 'Annelida', 'Ascomycota', 'Basidiomycota', 'Mollusca', 'Mucoromycota', 'Nematoda' and 'Proteobacteria'. For each detection of an Observational Taxonomic Unit (OTU), the number of reads is also given, as well as further information about the species assigned. The species information was derived from a comparison of the detected DNA sequences with the BOLD database and the database of the National Center for Biotechnology Information (NCBI). Further, the Ribosomal Database Project (RDP) classifier was used to identify species. A consensus taxonomy compiles the species information dervied from the different databases and ranks the results according to their validity by using labels from A to C (Information on A, B, and C given at the description of the variables). The DNA metabarcoding process is decribed in detail in Uhler et al (2021): Relationship of insect biomass and richness with land use along a climate gradient (https://www.nature.com/articles/s41467-021-26181-3#Sec10 ). Since the samples were devided into large and small subsamples to improve the metabarcoding results, the data is given for each of the subsamples separately. The samples that went through DNA metabarcoding were derived from a Malaise trap experiment, for which five different types of Malaise traps were placed on a meadow and a forest clearing site each in three regions of southwest Germany (Nationalpark Hunsrück-Hochwald, Rhine-Main-Observatory, Steigerwald). The sites in the Hunsrück and the Rhine-Main-Observatory are part of the Long-term Ecological Research Network Germany (LTER-D).

Data Records

The data in this sampling event resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 98 records.

2 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.

Event (core)
98
dnaDerivedData 
16373
Occurrence 
16373

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is GBIF Secretariat. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: df25a6ad-08af-4f97-81c6-7bcba39f9a79.  GBIF Secretariat publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Secretariat.

Keywords

Samplingevent

External data

The resource data is also available in other formats

ASV-Registry https://doi.org/10.20363/zc0n-5a36 UTF-8 Microsoft Excel

Contacts

Lara Hoffmann
  • Originator ●
  • Point Of Contact
  • Author
University of Duisburg-Essen
Duisburg
DE
Stefan Stoll
  • Originator
  • PI
University of Applied Sciences Trier
Trier
DE
Birgit Rach
  • Publisher
  • Data Curator
Leibniz institute for the Analysis of Biodiversity Change - LIB
Bonn
DE
Birgit Rach
  • Publisher
  • Data curator
LIB - Leibniz Institute for the Analysis of Biodiversity Change
Bonn
DE
University of Applied Sciences Trier
  • Owner institute
DE
University of Duisburg-Essen
DE

Geographic Coverage

three regions of southwest Germany: Nationalpark Hunsrück-Hochwald, Rhine-Main-Observatory, Steigerwald

Bounding Coordinates South West [-90, -180], North East [90, 180]

Taxonomic Coverage

All arthropods were identified by metabarcoding to different level.

Kingdom Animalia
Order Symphypleona, Psocoptera, Rickettsiales, Hemiptera, Tylenchida, Sarcoptiformes, Opiliones, Megaloptera, Gigartinales, Julida, Raphidioptera, Blattodea, Thysanoptera, Neuroptera, Dermaptera, Ephemeroptera, Microstromatales, Araneae, Mucorales, Mesostigmata, Plecoptera, Lepidoptera, Diptera, Entomobryomorpha, Trichoptera, Haplotaxida, Sporidiobolales, Lithobiomorpha, Eurotiales, Orthoptera, Rhabditida, Hypocreales, Coleoptera, Chaetothyriales, Mecoptera, Hymenoptera, Psocodea, Trombidiformes, Stylommatophora, Poduromorpha, Isopoda

Temporal Coverage

Start Date / End Date 2020-05-22 / 2020-08-14

Project Data

The dataset comprises presence data on arthropods, but also on the groups 'Annelida', 'Ascomycota', 'Basidiomycota', 'Mollusca', 'Mucoromycota', 'Nematoda' and 'Proteobacteria'. For each detection of an Observational Taxonomic Unit (OTU), the number of reads is also given, as well as further information about the species assigned. The species information was derived from a comparison of the detected DNA sequences with the BOLD database and the database of the National Center for Biotechnology Information (NCBI). Further, the Ribosomal Database Project (RDP) classifier was used to identify species.

Title DNA metabarcoding data of arthropods from lower mountain range regions in southwest Germany
Identifier P142690-DNA-MB_2020
Funding Heinrich Böll foundation (P142690) and Trier University of Applied Sciences: Junior Researcher Fund
Study Area Description The samples were derived from a Malaise trap experiment, for which five different types of Malaise traps were placed on a meadow and a forest clearing site each in three regions of southwest Germany (Nationalpark Hunsrück-Hochwald, Rhine-Main-Observatory, Steigerwald). The sites in the Hunsrück and the Rhine-Main-Observatory are part of the Long-term Ecological Research Network Germany (LTER-D).
Design Description There is a detailled description of the study design available in Hoffmann et al (2025): Effects of species traits on the catchability of butterflies with different types of Malaise traps and implications for total catch biomass (DOI:10.1007/s10841-024-00645-5).

The personnel involved in the project:

Lara Hoffmann

Sampling Methods

The samples were derived from a Malaise trap experiment, for which five different types of Malaise traps were placed on a meadow and a forest clearing site each in three regions of southwest Germany (Nationalpark Hunsrück-Hochwald, Rhine-Main-Observatory, Steigerwald). The sites in the Hunsrück and the Rhine-Main-Observatory are part of the Long-term Ecological Research Network Germany (LTER-D). The Malaise trap samples comprise insects captured over 14 days each. There is a detailled description of the study design available in Hoffmann et al (2025): Effects of species traits on the catchability of butterflies with different types of Malaise traps and implications for total catch biomass (DOI:10.1007/s10841-024-00645-5). The traps were operated from April to October, but only selected samples went to the DNA metabarcoding (data in this set).

Study Extent The dataset comprises presence data on arthropods, but also on the groups 'Annelida', 'Ascomycota', 'Basidiomycota', 'Mollusca', 'Mucoromycota', 'Nematoda' and 'Proteobacteria'.

Method step description:

  1. For each detection of an Observational Taxonomic Unit (OTU), the number of reads is also given, as well as further information about the species assigned.
  2. The species information was derived from a comparison of the detected DNA sequences with the BOLD database and the database of the National Center for Biotechnology Information (NCBI). Further, the Ribosomal Database Project (RDP) classifier was used to identify species. A consensus taxonomy compiles the species information dervied from the different databases and ranks the results according to their validity by using labels from A to C (Information on A, B, and C given at the description of the variables).
  3. The DNA metabarcoding process is described in detail in Uhler et al (2021): Relationship of insect biomass and richness with land use along a climate gradient (https://www.nature.com/articles/s41467-021-26181-3#Sec10 ). Since the samples were devided into large and small subsamples to improve the metabarcoding results, the data is given for each of the subsamples separately.

Bibliographic Citations

  1. Uhler et al (2021): Relationship of insect biomass and richness with land use along a climate gradient. https://www.nature.com/articles/s41467-021-26181-3#Sec10
  2. Hoffmann, Lara; Palt, Martin; Mignien, Lucas; Uhler, Johannes; Haase, Peter; Müller, Jörg; Stoll, Stefan (2024): Butterfly abundance data from lower mountain range regions in southwest Germany [dataset]. PANGAEA. https://doi.org/10.1594/PANGAEA.971783
  3. Hoffmann, Lara; Palt, Martin; Mignien, Lucas; Uhler, Johannes; Haase, Peter; Müller, Jörg; Stoll, Stefan (2024): Butterfly weight data from lower mountain range regions in southwest Germany [dataset]. PANGAEA. https://doi.org/10.1594/PANGAEA.971791
  4. Hoffmann et al (2025): Effects of species traits on the catchability of butterflies with different types of Malaise traps and implications for total catch biomass. https://doi.org/10.1007/s10841-024-00645-5

Additional Metadata

Alternative Identifiers https://ipt.gbif.org/resource?r=dsub578