Fästingbilder som skickats in till Statens veterinärmedicinska anstalt under 2024 Images of Ticks Submitted to the Swedish Veterinary Agency During 2024 2026-114-1 Swedish National Data Service Svensk nationell datatjänst Landing page Fästingbilder som skickats in till Statens veterinärmedicinska anstalt under 2024 Images of Ticks Submitted to the Swedish Veterinary Agency During 2024 2026-114-1 oai:DiVA.org:hh-57093 urn:nbn:se:hh:diva-57093 10.1038/s41598-025-10265-x oai:slubar.slu.se:143033 10.1016/j.vprsr.2025.101304 Department of Chemistry, Environment and Feed Hygiene, Swedish Veterinary Agency Avdelningen för kemi, miljö och fodersäkerhet, Statens veterinärmedicinska anstalt 101057554 Swedish National Data Service Svensk nationell datatjänst Landing page Ticks Fästingar Artificial Intelligence Artificiell intelligens image classification bildklassifiering image analysis citizen science medborgarforskning Ixodida fästingar This dataset contains all verified reports of tick sightings with corresponding images reported by the public to the "Rapportera Fästing" platform (https://rapporterafasting.sva.se/) during 2024. The platform is developed and maintained by the Swedish Veterinary Agency (SVA) within the scope of the European project IDAlert (https://idalertproject.eu/). The dataset is provided by SVA and is licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). The dataset includes two files: ticks_2024.zip, which contains the tick image files, and ticks_2024.csv, which contains metadata about each report. The dataset contains 3337 reports with corresponding images. Detta dataset innehåller alla verifierade rapporter om fästingobservationer med tillhörande bilder som allmänheten har rapporterat till plattformen ”Rapportera Fästing” (https://rapporterafasting.sva.se/) under 2024. Plattformen utvecklas och underhålls av Statens veterinärmedicinska anstalt (SVA) inom ramen för det europeiska projektet IDAlert (https://idalertproject.eu/). Datasetet tillhandahålls av SVA och är licensierat under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Datasetet innehåller två filer: ticks_2024.zip, som innehåller bildfilerna på fästingar, och ticks_2024.csv, som innehåller metadata om varje rapport. Datasetet innehåller 3337 rapporter med tillhörande bilder. 2024-01-01 2024-12-31 Sweden Sverige AnimalAnimal DjurDjur Text Still image Citizen scienceCitizen science MedborgarforskningMedborgarforskning OtherOther ÖvrigtÖvrigt Citizen scienceCitizen science MedborgarforskningMedborgarforskning OtherOther ÖvrigtÖvrigt Access to data through an external actor. Data are freely accessible. Åtkomst till data via extern aktör. Data är fritt tillgängliga. openAccess Omazic, A., Grandi, G., Widgren, S., Rocklöv, J., Wallin, J., Semenza, J. C., & Abiri, N. (2025). Automated tick classification using deep learning and its associated challenges in citizen science. In Scientific Reports (No. 24942; Vol. 15, Issue 1, pp. 1–18). https://doi.org/10.1038/s41598-025-10265-x Omazic, A., Grandi, G., Widgren, S., Rocklöv, J., Wallin, J., Semenza, J. C., & Abiri, N. (2025). Automated tick classification using deep learning and its associated challenges in citizen science. In Scientific Reports (No. 24942; Vol. 15, Issue 1, pp. 1–18). https://doi.org/10.1038/s41598-025-10265-x urn:nbn:se:hh:diva-57093 10.1038/s41598-025-10265-x oai:DiVA.org:hh-57093 2025 Grandi, G., & de Jong, A. (2025). Importation of the exotic tick Amblyomma geoemydae into Sweden via illegally introduced turtles (Geoemyda spengleri) from Thailand. In Veterinary Parasitology: Regional Studies and Reports (Vol. 63). https://doi.org/10.1016/j.vprsr.2025.101304 Grandi, G., & de Jong, A. (2025). Importation of the exotic tick Amblyomma geoemydae into Sweden via illegally introduced turtles (Geoemyda spengleri) from Thailand. In Veterinary Parasitology: Regional Studies and Reports (Vol. 63). https://doi.org/10.1016/j.vprsr.2025.101304 10.1016/j.vprsr.2025.101304 oai:slubar.slu.se:143033 2025