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

Sampling event
Versão mais recente published by GBIF Secretariat on abr. 21, 2026 GBIF Secretariat
Início:
https://doi.org/10.20363/zc0n-5a36
Publication date:
21 de abril de 2026
Published by:
GBIF Secretariat
Licença:
CC-BY 4.0

Baixe a última versão do recurso de dados, como um Darwin Core Archive (DwC-A) ou recurso de metadados, como EML ou RTF:

Dados como um arquivo DwC-A download 98 registros em English (2 MB) - Frequência de atualização: diariamente
Metadados como um arquivo EML download em English (24 KB)
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Descrição

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).

Registros de Dados

Os dados deste recurso de evento de amostragem foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 98 registros.

Também existem 2 tabelas de dados de extensão. Um registro de extensão fornece informações adicionais sobre um registro do núcleo. O número de registros em cada tabela de dados de extensão é ilustrado abaixo.

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.

Versões

A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é GBIF Secretariat. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: df25a6ad-08af-4f97-81c6-7bcba39f9a79.  GBIF Secretariat publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF Secretariat.

Palavras-chave

Samplingevent

Dados externos

Os dados de recurso também estão disponíveis em outros formatos

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

Contatos

Lara Hoffmann
  • Originador ●
  • Ponto De Contato
  • Author
University of Duisburg-Essen
Duisburg
DE
Stefan Stoll
  • Originador
  • PI
University of Applied Sciences Trier
Trier
DE
Birgit Rach
  • Publicador
  • Data Curator
Leibniz institute for the Analysis of Biodiversity Change - LIB
Bonn
DE
Birgit Rach
  • Publicador
  • 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

Cobertura Geográfica

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

Coordenadas delimitadoras Sul Oeste [-90, -180], Norte Leste [90, 180]

Cobertura Taxonômica

All arthropods were identified by metabarcoding to different level.

Reino Animalia
Ordem 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

Cobertura Temporal

Data Inicial / Data final 2020-05-22 / 2020-08-14

Dados Sobre o Projeto

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.

Título DNA metabarcoding data of arthropods from lower mountain range regions in southwest Germany
Identificador P142690-DNA-MB_2020
Financiamento Heinrich Böll foundation (P142690) and Trier University of Applied Sciences: Junior Researcher Fund
Descrição da Área de Estudo 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).
Descrição do 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).

O pessoal envolvido no projeto:

Lara Hoffmann

Métodos de Amostragem

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).

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

Descrição dos passos do método:

  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.

Citações bibliográficas

  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

Metadados Adicionais

Identificadores alternativos https://ipt.gbif.org/resource?r=dsub578