ArticleData in brief2026
Cross-sectoral digital planning Drinking Water-Urban Heat-Housing Provision indicators dataset.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Cross-sectoral digital planning Drinking Water-Urban Heat-Housing Provision indicators dataset.Data in brief · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This dataset paper presents a comprehensive compilation of indicators covering three major domains: drinking water supply, urban heat, and housing provision. The data were systematically collected from a wide range of peer-reviewed papers to ensure a robust foundation for both academic research and practical policy analysis. The dataset includes a total of 280 indicators, each categorized and described. The indicators are organized into a relational database format, which allows for easy access and manipulation. The dataset was collected to facilitate cross-sectoral analysis, enabling researchers and practitioners to explore the interconnections between these critical areas of urban planning. The key indicators are described with clear definitions, calculations, and provenance information. Additionally, the dataset is organized in a relational SQL database, allowing users to perform advanced queries, join operations, and custom analyses. Potential applications span a range of research areas, including urban planning, environmental impact assessment, public health, and socio-economic studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.