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Using low-cost sensors and GPS to assess spatiotemporal variations in personal exposure to PM 2.5 in the Washington State Twin Registry

medRxiv(2025)10.1101/2025.06.09.25329147Source: DataRank Database

Using low-cost sensors and GPS to assess spatiotemporal variations in personal exposure to PM 2.5 in the Washington State Twin Registry is a research paper published in medRxiv (2025). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (19)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (12)

Ally R. Avery ORCID,Elena Austin ORCID,John Scott Meschke ORCID,Nicola K. Beck ORCID,Graeme Carvlin ORCID

Live enrichment

PubMed:40585067 OpenAlex:https://openalex.org/W4411161647

NIEHS NIH HHS

Grant: P30 ES007033

NIEHS NIH HHS

Grant: R21 ES024715

NIEHS NIH HHS

Grant: R33 ES024715

greenLicense: cc-by-nc-nd

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2025/06/09/2025.06.09.25329147.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.06.09.25329147

repositoryhttps://doi.org/10.1101/2025.06.09.25329147

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40585067

Fields of Study

Air Quality and Health ImpactsAir Quality Monitoring and ForecastingCOVID-19 impact on air quality

Keywords

Environmental scienceGlobal Positioning SystemExposure assessmentEveningEnvironmental healthMeteorologyGeographyComputer scienceMedicineTelecommunicationsGPSLow-cost sensorMicroenvironmentPM2.5Personal exposureSpatiotemporal pattern

Sustainable Development Goals

SDG 0: Sustainable cities and communities