Evidence map›Paper›PMID 38866820›Full record

ArticleScientific data2024

GLAMOUR: GLobAl building MOrphology dataset for URban hydroclimate modelling.

Ruidong Li, Ting Sun, Saman Ghaffarian, Michel Tsamados, Guangheng Ni

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Ruidong LiDepartment of Hydraulic Engineering, Tsinghua Univeristy, Beijing, China. lrd19@mails.tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-0199-9069
Ting SunInstitute for Risk and Disaster Reduction, University College London, London, UK. ting.sun@ucl.ac.uk.ORCID http://orcid.org/0000-0002-2486-6146
Saman GhaffarianInstitute for Risk and Disaster Reduction, University College London, London, UK.ORCID http://orcid.org/0000-0001-9882-4603
Michel TsamadosDepartment of Earth Sciences, University College London, London, UK.
Guangheng NiDepartment of Hydraulic Engineering, Tsinghua Univeristy, Beijing, China.

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2022YFC3090604RCUK | Natural Environment Research Council (NERC) NE/P018637/2State Key Laboratory of Hydroscience and Engineering (SKLHSE) 61010101221State Key Laboratory of Hydroscience and Engineering (SKLHSE) sklhse-2020-A06
6 · The paper itself

Abstract

Understanding building morphology is crucial for accurately simulating interactions between urban structures and hydroclimate dynamics. Despite significant efforts to generate detailed global building morphology datasets, there is a lack of practical solutions using publicly accessible resources. In this work, we present GLAMOUR, a dataset derived from open-source Sentinel imagery that captures the average building height and footprint at a resolution of 0.0009

Identifiers

PMID38866820
PMCPMC11169488

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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.