Evidence map›Paper›PMID 41203688›Full record

ArticleScientific data2025

Building morphologies of the USA structures database; a gauntlet feature set.

Taylor Hauser, Clinton Stipek, Nagendra Singh, Jessica Moehl

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Taylor HauserOak Ridge National Laboratory, Geospatial Science and Human Security Division, Oak Ridge, USA. hausertr@ornl.gov.ORCID http://orcid.org/0000-0002-5088-5236
Clinton StipekOak Ridge National Laboratory, Geospatial Science and Human Security Division, Oak Ridge, USA.
Nagendra SinghOak Ridge National Laboratory, Geospatial Science and Human Security Division, Oak Ridge, USA.
Jessica MoehlOak Ridge National Laboratory, Geospatial Science and Human Security Division, Oak Ridge, USA.ORCID http://orcid.org/0000-0001-9579-2562

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years there has been a proliferation of methods and data to extract building footprints from satellite imagery. However there has been very little effort to provide additional insight about these buildings beyond their spatial location and shape. Features derived from their geometries can be used to better characterize these buildings which are critical for further research and development. In this work a set of 65 unique features for every building for more than 131 million buildings covering the US has been developed. This rich feature dataset will enable researchers, policymakers and various agencies to derive additional building characteristics like height, occupancy type, and help to gain valuable and new insights of the built environment.

Identifiers

PMID41203688
PMCPMC12594823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.