Data · dataset · 2026
TickZone Northeast Tick Risk Dataset (5,688 towns)
Listed in Teesside University Research Data Repository
TickZone is a free daily tick-risk forecast covering all 5,688 towns across the nine states of the U.S. Census Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT).
Description
Every town gets a 0 to 100 risk score and a green/amber/red band that updates daily. Files in this record: - county-tick-species.csv (217 rows): per-county establishment status for the three tick species of public-health concern (Ixodes scapularis / deer tick, Dermacentor variabilis / American dog tick, Amblyomma americanum / lone star tick).
The full town-level file towns.csv (5,688 rows of per-town risk scores and their inputs) is provided in the linked source repository and mirrored with DOIs on Zenodo, OSF and Figshare (listed below). Score inputs: CDC county Lyme incidence, ESA WorldCover 10 m satellite forest cover and edge density, and daily weather favorability for tick activity. Snapshot date 2026-07-05.
Read the rest (1 more)
Live tool: tickzone.app Methodology: tickzone.app/methodology Source repository (both CSV files): github.com/Nathanzo/tickzone-data Mirrors: Zenodo 10.5281/zenodo.21224287 , OSF osf.io/wa5j6 , Figshare 10.6084/m9.figshare.32913275 . License: Creative Commons Attribution 4.0 (CC BY 4.0).
Links
Where it is published
- DOI doi.org/10.17632/ny63n5kshv.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Epidemiology · Humanities · Life Sciences · Medicine & Health · Social Science
- Inferred from text
- Computed tomography 50%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/ny63n5kshv.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4202 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Epidemiology'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:ct | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (50%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |