GBIF Occurrence Download

• Main Author: Occdownload Gbif.Org
• Format: Dataset
• Language: unknown
• Published: The Global Biodiversity Information Facility 2019
• Subjects: GBIF; biodiversity; species occurrences; Helgeland
• Online Access: https://dx.doi.org/10.15468/dl.3tch8q; https://www.gbif.org/occurrence/download/0043627-181108115102211

A dataset containing 97120 species occurrences available in GBIF matching the query: Country: Sweden TaxonKey: Syrphidae. The dataset includes 97120 records from 24 constituent datasets: 1 records from Entomology, Natural History Museum, University of Oslo. 48 records from iNaturalist Research-grade Observations. 1 records from National Wetland Inventory (NV). 4 records from Limnodata. 3 records from NMNH Extant Specimen Records. 22 records from Lyman Entomological Museum (LEMQ). 414 records from Lund Museum of Zoology - Insect collections (MZLU). 1 records from University of Guelph Insect Collection (DEBU). 1 records from Australian Museum provider for OZCAM. 101 records from Entomological Collections (NHRS), Swedish Museum of Natural History (NRM). 4 records from BioFokus. 3 records from Natural History Museum Rotterdam (NL) - Insecta collection. 8 records from Geographically tagged INSDC sequences. 94238 records from Artportalen (Swedish Species Observation System). 5 records from Zoological Museum Amsterdam, University of Amsterdam (NL) - Diptera_Types. 179 records from Entomological collections, UiB. 190 records from PlutoF platform reference-based occurrences. 1 records from Helgeland Museum, Syrphidae. 42 records from naturgucker. 176 records from Entomology collection, UiT. 2 records from The Diptera collection (ED) of the Muséum national d'Histoire naturelle (MNHN - Paris). 1656 records from Swedish Malaise Trap Project (SMTP) Collection Inventory. 19 records from Zoology (Museum of Evolution - Uppsala). 1 records from Instituto de Investigación CIBIO, Universidad de Alicante: CEUA. Data from some individual datasets included in this download may be licensed under less restrictive terms.