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

Отбор проб
Последняя версия опубликовано GBIF Secretariat апр. 21, 2026 GBIF Secretariat
Домой:
https://doi.org/10.20363/zc0n-5a36
Дата публикации:
21 апреля 2026 г.
Опубликовано:
GBIF Secretariat
Лицензия:
CC-BY 4.0

Скачайте последнюю версию данных этого ресурса в формате Darwin Core Archive (DwC-A) или метаданных ресурса в форматах EML или RTF:

Данные в формате DwC-A Скачать 98 Записи в English (2 MB) - Частота обновления: ежедневно
Метаданные в формате EML Скачать в English (24 KB)
Метаданные в формате RTF Скачать в English (17 KB)

Описание

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).

Записи данных

Данные этого событие отбора проб ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 98 записей.

Также в наличии 2 таблиц с данными расширений. Записи расширений содержат дополнительную информацию об основной записи. Число записей в каждой таблице данных расширения показано ниже.

Event (core)
98
dnaDerivedData 
16373
Occurrence 
16373

Данный экземпляр IPT архивирует данные и таким образом служит хранилищем данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. В таблице версий перечислены другие версии ресурса, которые были доступны публично, что позволяет отслеживать изменения, внесенные в ресурс с течением времени.

Версии

В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.

Права

Исследователи должны соблюдать следующие права:

Публикующей организацией и владельцем прав на данную работу является GBIF Secretariat. Эта работа находится под лицензией Creative Commons Attribution (CC-BY 4.0).

Регистрация в GBIF

Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: df25a6ad-08af-4f97-81c6-7bcba39f9a79.  GBIF Secretariat отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке GBIF Secretariat.

Ключевые слова

Samplingevent

Внешние данные

Ресурс также доступен в других форматах

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

Контакты

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

Географический охват

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

Ограничивающие координаты Юг Запад [-90, -180], Север Восток [90, 180]

Таксономический охват

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

Временной охват

Дата начала / Дата окончания 2020-05-22 / 2020-08-14

Данные проекта

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.

Название DNA metabarcoding data of arthropods from lower mountain range regions in southwest Germany
Идентификатор P142690-DNA-MB_2020
Финансирование Heinrich Böll foundation (P142690) and Trier University of Applied Sciences: Junior Researcher Fund
Описание района исследования 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).
Описание плана выполнения исследований 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).

Исполнители проекта:

Lara Hoffmann

Методы сбора

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).

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

Описание этапа методики:

  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.

Библиографические ссылки

  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

Дополнительные метаданные

Альтернативные идентификаторы https://ipt.gbif.org/resource?r=dsub578