Evidence map›Paper›PMID 41657400›Full record

ArticleData in brief2026

100 m climate and heat stress data up to 2100 for 142 cities around the globe.

Niels Souverijns, Dirk Lauwaet, Quentin Lejeune, Chahan M Kropf, Kam Lam Yeung, Shruti Nath, Carl F Schleussner

Abstract read
In one paragraph

Article in Data in brief, 2026. 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

7 authors.

Niels SouverijnsEnvironmental Intelligence Unit, Flemish Institute of Technological Research (VITO), Mol, Belgium.
Dirk LauwaetEnvironmental Intelligence Unit, Flemish Institute of Technological Research (VITO), Mol, Belgium.
Quentin LejeuneVrije Universiteit Brussels (VUB), Brussels, Belgium.
Chahan M KropfInstitute for Environmental Decisions, ETH Zurich, Zurich, Switzerland.
Kam Lam YeungInstitute for Environmental Decisions, ETH Zurich, Zurich, Switzerland.
Shruti NathDepartment of Physics, University of Oxford, Oxford, United Kingdom.
Carl F SchleussnerIntegrated Climate Impacts Research Group, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cities worldwide are increasingly facing the challenges of heat stress, a problem expected to worsen with ongoing climate change. The lack of detailed, city-specific data hinders effective response measures and limits the adaptive capacity of urban populations. In this data descriptor, we introduce a comprehensive database providing climate and heat stress information for 142 cities globally, covering the present and extending projections up to 2100 across three distinct climate scenarios, including two overshoot scenarios. This dataset includes 34 heat stress indicators at a spatial resolution of 100 meters, offering a unique database to identify vulnerable areas and deepen the understanding of urban heat risks. The data is presented through an accessible, user-friendly dashboard, enabling policymakers, researchers, and city planners, as well as non-experts, to easily visualise and interpret the findings, supporting more informed decision-making and urban adaptation strategies.

Indexed as

High-resolutionProjectionsUrban climateUrban heat

Identifiers

PMID41657400
PMCPMC12874795

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.