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

Événement déchantillonnage
Dernière version Publié par GBIF Secretariat le avr. 21, 2026 GBIF Secretariat
Accueil:
https://doi.org/10.20363/zc0n-5a36
Date de publication:
21 avril 2026
Publié par:
GBIF Secretariat
Licence:
CC-BY 4.0

Téléchargez la dernière version de la ressource en tant quArchive Darwin Core (DwC-A), ou les métadonnées de la ressource au format EML ou RTF :

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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).

Enregistrements de données

Les données de cette ressource données d'échantillonnage ont été publiées sous forme dune Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant quensemble dun ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 98 enregistrements.

2 tableurs de données dextension existent également. Un enregistrement dextension fournit des informations supplémentaires sur un enregistrement du cœur de standard (core). Le nombre denregistrements dans chaque tableur de données dextension est illustré ci-dessous.

Event (noyau)
98
dnaDerivedData 
16373
Occurrence 
16373

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.

Versions

Le tableau ci-dessous naffiche que les versions publiées de la ressource accessibles publiquement.

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est GBIF Secretariat. Ce travail est sous licence Creative Commons Attribution (CC-BY) 4.0.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède lUUID GBIF suivante : df25a6ad-08af-4f97-81c6-7bcba39f9a79.  GBIF Secretariat publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec lapprobation du GBIF Secretariat.

Mots-clé

Samplingevent

Données externes

Les données de la ressource sont disponibles dans dautres formats

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

Contacts

Lara Hoffmann
  • Créateur ●
  • Personne De Contact
  • Author
University of Duisburg-Essen
Duisburg
DE
Stefan Stoll
  • Créateur
  • PI
University of Applied Sciences Trier
Trier
DE
Birgit Rach
  • Publicateur
  • Data Curator
Leibniz institute for the Analysis of Biodiversity Change - LIB
Bonn
DE
Birgit Rach
  • Publicateur
  • 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

Couverture géographique

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

Enveloppe géographique Sud Ouest [-90, -180], Nord Est [90, 180]

Couverture taxonomique

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

Couverture temporelle

Date de début / Date de fin 2020-05-22 / 2020-08-14

Données sur le projet

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.

Titre DNA metabarcoding data of arthropods from lower mountain range regions in southwest Germany
Identifiant P142690-DNA-MB_2020
Financement Heinrich Böll foundation (P142690) and Trier University of Applied Sciences: Junior Researcher Fund
Description du domaine détude / de recherche 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).
Description du design 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).

Les personnes impliquées dans le projet:

Lara Hoffmann

Méthodes déchantillonnage

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).

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

Description des étapes de la méthode:

  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.

Citations bibliographiques

  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

Métadonnées additionnelles

Identifiants alternatifs https://ipt.gbif.org/resource?r=dsub578