Images of Ticks Submitted to the Swedish Veterinary Agency During 2025
type: Dataset
description: 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 2025 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_2025.zip, which contains the tick image files, and ticks_2025.csv, which contains metadata about each report. The dataset contains 9080 reports with corresponding images.
citation: CreativeWork
  name: 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
citation: CreativeWork
  name: 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
conditions of access: http://publications.europa.eu/resource/authority/access-right/PUBLIC
conditions of access: info:eu-repo/semantics/openAccess
copyright notice: Swedish Veterinary Agency
creative work status: completed
  type: DefinedTerm
  in defined term set: http://publications.europa.eu/resource/authority/dataset-status
  term code: COMPLETED
creator: Swedish Veterinary Agency
date modified: 2026-06-15
date published: 2026-03-25
funding: Infectious Disease decision-support tools and Alert systems to build climate Resilience to emerging health Threats
  type: Grant
  description: There’s a real risk of climate-induced disease. Climate change is a driver (one of many) of recurrent outbreaks. Policymakers and decision-makers need tailored information and early warning and impact assessment. In this context, the EU-funded IDAlert project will explore the emergence and transmission of zoonotic pathogens by developing novel indicators, innovative early warning systems and tools for decision-makers. The project will co-create novel policy-relevant Europe-wide indicators that track past, present, and future climate-induced disease risk across hazard, exposure, and vulnerability domains at the animal, human and environment interface. The findings will pave the way for long-lasting impacts on EU climate policy and provide new tools for the European Green Deal.
  funder: European Commission
language: English
language: Swedish
keywords: Climate Science
  type: DefinedTerm
  term code: 10501
keywords: Epidemiology
  type: DefinedTerm
  term code: 30116
keywords: Other Veterinary Science
  type: DefinedTerm
  term code: 40399
keywords: Ticks
keywords: Artificial Intelligence
keywords: image classification
keywords: image analysis
keywords: citizen science
keywords: Ixodida
license: https://creativecommons.org/licenses/by/4.0/
publisher: Swedish Veterinary Agency
size: QuantitativeValue
  unit text: cases
  value: 11901
size: QuantitativeValue
  unit text: variables
  value: 8
spatial coverage: Sweden
temporal coverage: 2025-01-01/2025-12-31
distribution: documentation/README.md
  type: DataDownload
  additional type: documentation
  conditions of access: http://publications.europa.eu/resource/authority/access-right/PUBLIC
  conditions of access: info:eu-repo/semantics/openAccess
  content size: 4152
  encoding format: text/markdown
version: 1

PropertyValue
property ID: DOI
value: 10.5281/zenodo.19055832

PropertyValue
property ID: URN
value: urn:nbn:se:hh:diva-57093

PropertyValue
property ID: DOI
value: 10.1038/s41598-025-10265-x

PropertyValue
property ID: DOI
value: 10.1016/j.vprsr.2025.101304

Swedish Veterinary Agency
type: Organization
department: Department of Chemistry, Environment and Feed Hygiene

European Commission
type: Organization

English
type: Language
alternate name: eng

Swedish
type: Language
alternate name: swe

Ticks
type: DefinedTerm
description: Blood-sucking acarid parasites of the order Ixodida comprising two families: the softbacked ticks (ARGASIDAE) and hardbacked ticks (IXODIDAE). Ticks are larger than their relatives, the MITES. They penetrate the skin of their host by means of highly specialized, hooked mouth parts and feed on its blood. Ticks attack all groups of terrestrial vertebrates. In humans they are responsible for many TICK-BORNE DISEASES, including the transmission of ROCKY MOUNTAIN SPOTTED FEVER; TULAREMIA; BABESIOSIS; AFRICAN SWINE FEVER; and RELAPSING FEVER. (From Barnes, Invertebrate Zoology, 5th ed, pp543-44)
term code: D013987

Artificial Intelligence
type: DefinedTerm
description: Theory and development of COMPUTER SYSTEMS which perform tasks that normally require human intelligence. Such tasks may include speech recognition, LEARNING; VISUAL PERCEPTION; MATHEMATICAL COMPUTING; reasoning, PROBLEM SOLVING, DECISION-MAKING, and translation of language.
term code: D001185

image classification
type: DefinedTerm
description: Processing techniques which apply quantitative methods to the values in a digital yield or remotely sensed scene to group pixels with similar digital number values into feature classes or categories.
term code: 14911

image analysis
type: DefinedTerm
description: [EDAM]* The analysis of a image (typically a digital image) of some type in order to extract information from it.
term code: 20018

citizen science
type: DefinedTerm
description: scientific work undertaken by members of the general public, often\nin collaboration with or under the direction of professional scientists and scientific\ninstitutions
term code: 15358

Ixodida
type: DefinedTerm
term code: 2001771

Sweden
type: Place