<?xml version="1.0" encoding="UTF-8" standalone="yes"?><?xml-stylesheet type="text/xsl" href="/oai-pmh-repository/static/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
    <responseDate>2026-10-13T07:25:33Z</responseDate>
    <request verb="GetRecord" identifier="oai:data.mendeley.com/ny63n5kshv.1" metadataPrefix="oai_dc">https://data.mendeley.com/oai</request>
    <GetRecord>
        <record>
            <header>
                <identifier>oai:data.mendeley.com/ny63n5kshv.1</identifier>
                <datestamp>2026-07-08T17:23:00Z</datestamp>
            </header>
            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Burnett, Nathan</dc:creator>
    <dc:title>TickZone Northeast Tick Risk Dataset (5,688 towns)</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>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). 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.

Live tool: https://tickzone.app
Methodology: https://tickzone.app/methodology
Source repository (both CSV files): https://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).</dc:description>
    <dc:subject>Epidemiology</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/ny63n5kshv.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/ny63n5kshv.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/ny63n5kshv</dc:relation>
    <dc:date>2026-07-08T17:23:00Z</dc:date>
</oai_dc:dc></metadata>
        </record>
    </GetRecord>
</OAI-PMH>
