Evidence map›Paper›PMID 40431840›Full record

ArticleSensors (Basel, Switzerland)2025

Evaluating PurpleAir Sensors: Do They Accurately Reflect Ambient Air Temperature?

Justin Tse, Lu Liang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Justin TseDepartment of Landscape Architecture and Environmental Planning, University of California, Berkeley, CA 94720, USA.
Lu LiangDepartment of Landscape Architecture and Environmental Planning, University of California, Berkeley, CA 94720, USA.ORCID 0000-0002-9892-8346

Funding

National Science Foundation BCS-2117505The Katherine and James Lau Foundation for Climate Equity and Environmental Justice in the Built Environment NA
6 · The paper itself

Abstract

Low-cost sensors (LCSs) emerge as a popular tool for urban micro-climate studies by offering dense observational coverage. This study evaluates the performance of PurpleAir (PA) sensors for ambient temperature monitoring-a key but underexplored aspect of their use. While widely used for particulate matter, PA sensors' temperature data remain underutilized and lack thorough validation. For the first time, this research evaluates their accuracy by comparing PA temperature measurements with collocated high-precision temperature data loggers across a dense urban network in a humid subtropical U.S. county. Results show a moderate correlation with reference data (

Indexed as

crowdsourced dataenvironmental monitoringheat wavelow-cost sensor calibration

Identifiers

PMID40431840
PMCPMC12114826

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.