説明
データ レコード
この サンプリング イベント リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、98 レコードが含まれています。
拡張データ テーブルは2 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。
この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。
バージョン
次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。
権利
研究者は権利に関する下記ステートメントを尊重する必要があります。:
パブリッシャーとライセンス保持者権利者は GBIF Secretariat。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF登録
このリソースをはGBIF と登録されており GBIF UUID: df25a6ad-08af-4f97-81c6-7bcba39f9a79が割り当てられています。 GBIF Secretariat によって承認されたデータ パブリッシャーとして GBIF に登録されているGBIF Secretariat が、このリソースをパブリッシュしました。
キーワード
Samplingevent
連絡先
- データ公開者
- Data Curator
- データ公開者
- Data curator
- Owner institute
地理的範囲
three regions of southwest Germany: Nationalpark Hunsrück-Hochwald, Rhine-Main-Observatory, Steigerwald
| 座標（緯度経度） | 南 西 [-90, -180], 北 東 [90, 180] |
|---|
生物分類学的範囲
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 |
時間的範囲
| 開始日 / 終了日 | 2020-05-22 / 2020-08-14 |
|---|
プロジェクトデータ
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.
| タイトル | DNA metabarcoding data of arthropods from lower mountain range regions in southwest Germany |
|---|---|
| 識別子 | P142690-DNA-MB_2020 |
| ファンデイング | 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). |
| 研究の意図、目的、背景など（デザイン） | 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). |
プロジェクトに携わる要員:
収集方法
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:
- 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 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.
書誌情報の引用
- 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
- 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
- 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
- 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