cb8a261a-66cb-4068-809e-9e773359bb30 https://ipt.danbif.dk/resource?r=insektmobilen Cecilie Svenningsen Global Biodiversity Information Facility Data administrator

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csvenningsen@gbif.org 0000-0002-9216-2917 Anders P. Tøttrup Natural History Museum of Denmark Associate Professor

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aptottrup@snm.ku.dk 0000-0001-8776-9629 Cecilie Svenningsen Global Biodiversity Information Facility Data administrator

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csvenningsen@gbif.org 0000-0002-9216-2917 Isabel Calabuig DanBIF, Danish Biodiversity Information Facility Node Manager & Data curator

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icalabuig@snm.ku.dk http://snm.ku.dk/english/staffsnm/staff/?pure=en/persons/88409 0000-0001-5515-7900 distributor 2024-08-15 eng The Insectmobile (Insektmobilen) is a research project at the National History Museum of Denmark, University of Copenhagen, with the goal to investigate the diversity of flying insects in Denmark. In the summer of 2018, 2019 and 2020 almost 400 volunteers collected flying insects using large custom made insect nets mounted on the roof of their cars. The bulk insect samples were processed with a non-destructive DNA extraction DNA metabarcoding protocol (dx.doi.org/10.17504/protocols.io.bmunk6ve) and sequences were assigned taxonomy by importing the fasta file into GBIF's sequence ID tool (https://www.gbif.org/tools/sequence-id). The sequences were queried against a 99% clustered version of the BOLD Public Database v2024-01-06 public data (COI-5P sequences). The dataset contains unidentified sequences and potential errors and contaminants. For example, even though the primers used were developed as universal primers targeting freshwater insects, you will find other phyla, classes etc. We share these sequences and associated data for the data to be as open as possible, but please do reannotate sequences and filter the data for your specific needs prior to using the data for analysis. Please be aware that the samples may contain gut content of sampled insects and eDNA. Sequence identification certainty is captured in the identificationRemarks field. The bit score is the required size of a sequence database in which the current match could be found just by chance. The bit score is a log2 scaled and normalized raw score. Each increase by one doubles the required database size (2bit-score). The expect value is a parameter that describes the number of hits one can "expect" to see by chance when searching a database of a particular size. It decreases exponentially as the score of the match increases. Hence, a low expect value is better. How much of the query(input) sequence aligns with the match in the the reference database, in percent. Badges representing different identity thresholds (match types); Blast exact match = identity >= 99% and queryCoverage >= 80%. This is within the threshold of the OTU, Blast ambiguous match = identity >= 99% and queryCoverage >= 80%, but there is at least one more match with similar identity, Blast close match = identity < 99% but > 90% and queryCoverage >= 80%. It is something close to the OTU, maybe the same genus, Blast weak match = there is a match, but with identity < 90% or/and queryCoverage < 80%. Depending on the quality of the sequence, bit score, identity and expect value, a higher taxon could be inferred from this, Blast no match = no match to the reference database. Occurrence SamplingEvent NaturalHistoryCollection EnvironmentalDnaAndMetagenomics CitizenScience GBIF Dataset Category Vocabulary (UAT): https://registry.gbif-uat.org/vocabulary/DatasetCategory Occurrence GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type_2015-07-10.xml This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License. https://insektmobilen.snm.ku.dk/ Data was collected in Denmark. 8.146 15.124 57.584 54.648 2018-06-01 2018-06-30 2019-06-01 2019-06-30 The project targeted flying insects specifically, but a universal primer was used. We have included all sequences and associated taxonomic assignments although some may appear odd, it is our hope that updated reference database may improve the taxonomy of the sequences in the long run and hence their re-usability. order Symphypleona class Protura order Clionaida phylum Arthropoda order Peyssonneliales class Hydrozoa order Amphipoda kingdom Chromista order Hildenbrandiales order Hemiptera order Sarcoptiformes phylum Rotifera phylum Nemertea class Haptoglossa order Opiliones order Artiodactyla class Palaeonemertea order Coronatae class Clitellata order Phasmida kingdom NA phylum Annelida order Monostilifera order Enchytraeida class Polychaeta class Florideophyceae order Bubarida order Cyprinidae order Bangiales class Hoplonemertea class Arachnida phylum Chordata phylum Rhodophyta order Gigartinales order Ceramiales order Julida class Diplopoda order Ixodida order Crassiclitellata order Thysanoptera order Neuroptera order Longidoridae order Dermaptera class Mammalia order Haplosclerida order Bdelloidea class Pycnogonida order Anthoathecata class Collembola order Ephemeroptera order Araneae order Scopalinida class Dorylaimida order Mesostigmata order Plecoptera order Rhipidiales phylum Oomycota class Gastropoda order Lepidoptera phylum Echinodermata phylum Mollusca class Demospongiae order Leptomitales order Diptera class Peronosporea order Cumacea order Entomobryomorpha class Chromadorea order Polyxenida order Trichoptera class Bangiophyceae phylum Porifera class Eurotatoria order Polymastiida order Ploima kingdom Plantae order Pantopoda kingdom Animalia order Pseudoscorpiones phylum Tardigrada order Phyllodocida order Parachela order Desmacellida order Archinemertea order Littorinimorpha order Poecilosclerida phylum Nematoda order Orthoptera order Zygentoma order Rhabditida order NA order Coleoptera order Rhodymeniales order Odonata class Insecta order Mecoptera order Hymenoptera order Comatulida class Cypriniformes order Saprolegniales order Peronosporales phylum Ochrophyta class NA order Psocodea class Scyphozoa order Trombidiformes order Leptothecata order Albuginales class Malacostraca order Stylommatophora order Poduromorpha order Bathynellacea order Isopoda order Protura class Eutardigrada class Crinoidea phylum NA phylum Cnidaria notPlanned Cecilie Svenningsen Global Biodiversity Information Facility Data administrator

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csvenningsen@gbif.org 0000-0002-9216-2917 Anders P. Tøttrup Natural History Museum of Denmark Associate Professor

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aptottrup@snm.ku.dk 0000-0001-8776-9629 Please consult the following publications and their supplementary material for more information: https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.13532 https://resjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/icad.12694 https://royalsocietypublishing.org/doi/full/10.1098/rsbl.2020.0833 https://www.protocols.io/view/insects-and-dna-metabarcoding-insectmobile-laborat-261ge46qdv47/v1 Sampling was carried out in Denmark in the month of June of 2018 and 2019. We recruited citizen scientists to drive with car nets in close proximity to their home address in June and July 2018. The car net was funnel- shaped with a detachable sampling bag at the far end for sample collection. Metal guy- line adjusters enabled adjustment to car length and allowed the net to be used on most car types (Figure 1). The measurements of the net were as follows: front height: 75 cm; front width: 100 cm; length: 140 cm; width of sampling bag: 29 cm; mesh size at the bottom (grey fabric): 2 × 1 mm; and mesh size for the rest of the net (white fabric): ~0.3 mm. Custom tent poles (L: 209 cm, D: 8 mm) supported the opening of the net Citizen scientists were recruited by the Natural History Museum of Denmark (NHMD). The citizen scientists received a simple sampling protocol, and video tutorials and FAQ sheets along with the sampling equipment. Sampling of each route was carried out once during two time intervals on the same day: between 12 and 15 h (midday) and again between 17 and 20 h (evening) with a maximum speed of 50 km/h and weather conditions of at least 15°C, an average wind speed of maximum 6 m/s and no rain. Insects were collected in individual sampling bags that were placed in 96% pure ethanol and stored in double-sealed plastic bags before the citizen scientists sent the samples back to the research institution. The research project was funded by Aage V. Jensen Naturfond and The Danish Ministry of Higher Education and Science, Grant/Award Number: 7072- 00014B 2024-04-17T15:44:13.876+02:00 dataset Svenningsen C, P. Tøttrup A (2024). Insektmobilen - National citizen science and DNA metabarcoding survey of flying insects in June 2018 and 2019. Version 1.11. Natural History Museum of Denmark. Occurrence dataset. https://ipt.danbif.dk/resource?r=insektmobilen&v=1.11 ACC.NO. 2018-EN-001DK Natural History Museum of Denmark alcohol cb8a261a-66cb-4068-809e-9e773359bb30/v1.11.xml