説明
Amplicon Sequence Variants of 418bp of CO1 from soil and leaf litter arthropod communities collected at Malaise traps from the Insect Biome Atlas project in Sweden, as described in the IBA data paper.
This dataset was published via the SBDI ASV portal, and has been updated from 'Metadata only' to 'Occurrence' type.
Occurrence data were compiled from the following IBA Figshare items:
Processed ASV data from the Insect Biome Atlas Project v3:
Amplicon sequence variants from the Insect Biome Atlas project v6:
The following samples were excluded from this resource due to sequencing failure: P25259_1390, P25259_1407, P25259_1411, P25259_1420, P25259_1422, P25259_1423, P25259_1428, P25259_1431, P25259_1435, P25259_1436, P25259_1439, P25259_1440, P25259_1444, P25259_1452, P25259_1460, P25259_1467, P25259_1469, P25259_1476, P25259_1591, P25259_1594, P25259_1641, P25259_1649; or lack of non-zero counts for annotated ASVs: P25259_1438, P25259_1455, P25259_1471, P25259_1475, P25259_1586, P25259_1661, P25259_1742.
データ レコード
この オカレンス(観察データと標本) 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、77,646 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。
引用方法
研究者はこの研究内容を以下のように引用する必要があります。:
Miraldo A, Sundh J, Iwaszkiewicz-Eggebrecht E, Granqvist E, Manoharan L, Łukasik P, Tack A J M, Andersson A F, Roslin T, Ronquist F (2025). CO1 Amplicon Sequence Variants of soil and leaf litter arthropod communities collected at Malaise traps from the Insect Biome Atlas project in Sweden. Version 1.4. Swedish Museum of Natural History. Occurrence dataset. https://www.gbif.se/ipt/resource?r=iba_co1_soil_litter_2019_se&v=1.4
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 Swedish Museum of Natural History。 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: 6fbb851d-7a13-4242-bea7-3b931a0cfc47が割り当てられています。 GBIF Sweden 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Swedish Museum of Natural History が、このリソースをパブリッシュしました。
キーワード
Metadata; Observation
連絡先
- 最初のデータ採集者
- Researcher
- 最初のデータ採集者
- 最初のデータ採集者
- 最初のデータ採集者 ●
- 連絡先
- Professor
地理的範囲
Sweden
座標(緯度経度) | 南 西 [55.561, 11.757], 北 東 [68.355, 23.662] |
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生物分類学的範囲
Insects
Kingdom | Chromista, Animalia |
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Phylum | Arthropoda, Annelida, Chordata, Oomycota, Mollusca, Tardigrada, Nematoda, Platyhelminthes |
Class | Ostracoda, Platyhelminthes_X, Clitellata, Arachnida, Aves, Diplopoda, Mammalia, Collembola, Chilopoda, Gastropoda, Peronosporea, Chromadorea, Enoplea, Heterotardigrada, Insecta, Diplura, Copepoda, Branchiopoda, Malacostraca, Eutardigrada |
Order | Symphypleona, Ellobiida, Psocoptera, Hemiptera, Sarcoptiformes, Artiodactyla, Opiliones, Galliformes, Passeriformes, Echiniscoidea, Polydesmida, Enchytraeida, Lagomorpha, Podocopida, Julida, Raphidioptera, Carnivora, Ixodida, Blattodea, Crassiclitellata, Thysanoptera, Neuroptera, Dermaptera, Diplura, Archaeognatha, Ephemeroptera, Araneae, Mononchida, Mesostigmata, Tricladida, Chordeumatida, Tubificida, Lepidoptera, Diptera, Zoraptera, Entomobryomorpha, Polyxenida, Trichoptera, Dorylaimida, Geophilomorpha, Pseudoscorpiones, Parachela, Neelipleona, Haplotaxida, Lithobiomorpha, Lumbriculida, Orthoptera, Rhabditida, Coleoptera, Odonata, Columbiformes, Hymenoptera, Saprolegniales, Diplostraca, Rodentia, Peronosporales, Psocodea, Trombidiformes, Cyclopoida, Stylommatophora, Poduromorpha, Isopoda, Apochela |
時間的範囲
開始日 / 終了日 | 2019-06-26 / 2019-07-29 |
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プロジェクトデータ
The Insect Biome Atlas (IBA) is a large-scale insect project aimed at charting the insect faunas of Sweden and Madagascar and their associated microbiomes using high-throughput DNA sequencing of Malaise trap and soil samples. The main aim is to describe the insect faunas of these two biologically and geologically very different countries in unprecedented detail. The Swedish insect fauna consists of postglacial immigrants and is one of the best studied in the world. Madagascar is the world’s most important biodiversity hotspot, with a long period of evolution in isolation and where many species are critically endangered if not already extinct. During the field phase in 2019-2020, weekly samples were collected in both countries for a 12-month period. Insects were collected using Malaise traps: 203 traps in Sweden and 50 in Madagascar. Several other types of samples and ecological measurements were also collected at all trap sites to gather a full understanding of the ecological roles of the organisms that comprise the insect biomes and associated microbiomes. In total, IBA collected ca 8,000 insect community samples. The identification of all insects in the material and the organisms they interact with, such as pathogens as well as symbiotic fungi and bacteria, was achieved using metabarcoding and high-throughput DNA sequencing. In Sweden the Malaise traps were managed by over 150 volunteers, which makes this project one of the largest citizen science projects to take place in Scandinavia. The Swedish inventory was implemented in collaboration with Station Linné and the Malagasy inventory in collaboration with Madagascar Biodiversity Centre, both very active entomological research stations.
タイトル | Insect Biome Atlas: a metabarcoding survey of the terrestrial arthropods of Sweden and Madagascar |
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ファンデイング | This work was supported by the Knut and Alice Wallenberg Foundation (grant KAW 2017.088 to FR), the Swedish Research Council (grant 2018-04620 to FR, grant 2021-03784 to AJMT), the Polish National Agency for Academic Exchange (grant PPN/PPO/2018/1/00015 to PL), the Polish National Science Centre (grant 2018/31/B/NZ8/01158 to PL), the European Research Council (Synergy Grant 856506 to TR), the Swedish University of Agricultural Sciences (Career Support grant to TR), the Science for Life Laboratory (SciLifeLab) & Wallenberg Data Driven Life Science Program funded by Knut and Alice Wallenberg Foundation (grants: KAW 2020.0239 and KAW 2017.0003), the National Bioinformatics Infrastructure Sweden (NBIS) at SciLifeLab, the Abisko Scientific Research Station and the Swedish Infrastructure for Ecosystem Science (Swedish Research Council grant no. 4.3-2021-00164) and the strategic research area BECC - Biodiversity and Ecosystem services in a Changing Climate. The computations and data handling were enabled by resources in projects SNIC 2020/15-307, SNIC 2022/5-211, NAISS 2023/5-209, and NAISS 2024/5-207 (compute) and SNIC 2020/16-248 (storage), provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) and the Swedish National Infrastructure for Computing (SNIC) at Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX), partially funded by the Swedish Research Council (grant 2022-06725 and 2018-05973). The authors also acknowledge support from the National Genomics Infrastructure in Stockholm. For the work carried out in Madagascar, the authors acknowledge support from the Madagascar National Parks, Fanamby, Asity, Groupe d'Etudes et de Recherches sur les Primates (GERP), Centre National de Formation, d’Etudes et de Recherches en Environnement et Foresterie (CNFEREF), Missouri Botanical Garden (MBG), Ambatovy, Ministère de l'Environnement et du Développement Durable, Parc Botanique et Zoologique de Tsimbazaza and Laboratoires des Radioisotopes. |
プロジェクトに携わる要員:
収集方法
Soil and leaf litter arthropod communities were sampled during the growing season (26th of June 2019 to 27th of July 2019) at each Malaise trap location of the Insect Biome Atlas project in Sweden. Leaf litter arthropod communities were sampled by collecting a total volume of 1 L of leaf litter from five different sites around each Malaise trap, 2.5 meters away from the nearest extremity of the trap. Soil arthropod communities were sampled using soil cores (5.5 cm diameter) with a depth of 10 cm at exactly the same five sites where litter samples were taken. The five soil core samples from each Malaise trap location were pooled and mixed by hand immediately after collection. See 'Soil and litter samples' in https://doi.org/10.1101/2024.10.24.619818.
Study Extent | Malaise trap locations of the Insect Biome Atlas project in Sweden. |
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Method step description:
- See 'Soil and litter samples' in https://doi.org/10.1101/2024.10.24.619818.
書誌情報の引用
- Miraldo, A., Sundh, J., Iwaszkiewicz-Eggebrecht, E., Buczek, M., Goodsell, R., Johansson, H., Fisher, B. L., Raharinjanahary, D., Rajoelison, E. T., Ranaivo, C., Randrianandrasana, C., Rafanomezantsoa, J.-J., Manoharan, L., Granqvist, E., van Dijk, L. J. A., Alberg, L., Åhlén, D., Aspebo, M., Åström, S., Bellviken, A., Bergman, P.-E., Björklund, S., Björkman, M. P., Deng, J., Desborough, L., Dolff, E., Eliasson, A., Elmquist, H., Emanuelsson, H., Erixon, R., Fahlen, L., Frogner, C., Fürst, P., Grabs, A., Grudd, H., Guasconi, D., Gunnarsson, M., Häggqvist, S., Hed, A., Hörnström, E., Johansson, H., Jönsson, A., Kanerot, S., Karlsson, A., Karlsson, D., Klinth, M., Kraft, T., Lahti, R., Larsson, M., Lernefalk, H., Lestander, Y., Lindholm, L.-T., Lindholm, M., Ljung, U., Ljung, K., Lundberg, J., Lundin, E., Malmenius, M., Marquina, D., Martinelli, J., Mertz, L., Nilsson, J., Patchett, A., Persson, N., Persson, J., Prus-Frankowska, M., Regazzoni, E., Rosander, K.-G., Rydgård, M., Sandblom, C., Skord, J., Stålhandske, T., Svensson, F., Szpryngiel, S., Tajani, K., Tyboni, M., Ugarph, C., Vestermark, L., Vilhelmsson, J., Wahlgren, N., Wass, A., Wetterstrand, P., Łukasik, P., Tack, A. J. M., Andersson, A. F., Roslin, T., & Ronquist, F. (2024). Data of the Insect Biome Atlas: A metabarcoding survey of the terrestrial arthropods of Sweden and Madagascar. bioRxiv. https://doi.org/10.1101/2024.10.24.619818
追加のメタデータ
謝辞 | This work was supported by the Knut and Alice Wallenberg Foundation (grant KAW 2017.088 to FR), the Swedish Research Council (grant 2018-04620 to FR, grant 2021-03784 to AJMT), the Polish National Agency for Academic Exchange (grant PPN/PPO/2018/1/00015 to PL), the Polish National Science Centre (grant 2018/31/B/NZ8/01158 to PL), the European Research Council (Synergy Grant 856506 to TR), the Swedish University of Agricultural Sciences (Career Support grant to TR), the Science for Life Laboratory (SciLifeLab) & Wallenberg Data Driven Life Science Program funded by Knut and Alice Wallenberg Foundation (grants: KAW 2020.0239 and KAW 2017.0003), the National Bioinformatics Infrastructure Sweden (NBIS) at SciLifeLab, the Abisko Scientific Research Station and the Swedish Infrastructure for Ecosystem Science (Swedish Research Council grant no. 4.3-2021-00164) and the strategic research area BECC - Biodiversity and Ecosystem services in a Changing Climate. The computations and data handling were enabled by resources in projects SNIC 2020/15-307, SNIC 2022/5-211, NAISS 2023/5-209, and NAISS 2024/5-207 (compute) and SNIC 2020/16-248 (storage), provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) and the Swedish National Infrastructure for Computing (SNIC) at Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX), partially funded by the Swedish Research Council (grant 2022-06725 and 2018-05973). The authors also acknowledge support from the National Genomics Infrastructure in Stockholm. |
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代替識別子 | 6fbb851d-7a13-4242-bea7-3b931a0cfc47 |
https://www.gbif.se/ipt/resource?r=iba_co1_soil_litter_2019_se |