ArticleData in brief2025
GHS-OBAT: Global, open building attribute data reporting age, function, height and compactness at footprint level.
Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- A global, proxy-based assessment of building climatization vulnerability.Scientific reports · 2026Article
- A temporally harmonised gridded building-stock dataset for the Global South, 2016-2023.Gates open research · 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Detailed geospatial data on building footprints represents a highly valuable source of information, as acknowledged by regulation in Europe. Such datasets are becoming increasingly available in Europe and at global scale, yet they often lack detailed and complete thematic information. Herein, we present the Global Human Settlement - Open Building Attribute Table (GHS-OBAT), a large-scale data integration effort to link thematic attributes to building geometries, namely 2.3 billion openly available building footprints from Overture maps. Specifically, we enrich building footprint geometries with information on the building construction epoch, building height, residential and non-residential building function, and building compactness, from open datasets in the Global Human Settlement Layer data suite. The footprint-level attributes in GHS-OBAT were extracted through vector-raster integration, by applying zonal statistics at the building feature level. The nearly-global coverage of these data adds new dimensions to large-scale building stock analyses, valuable for a wide range of application domains, including disaster risk management, studies of urbanization, energy transition and climate mitigation, affordable housing and renovation, urban design, or real estate.
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.