A construction classification system database for understanding resource use in building construction

Gursans Guven; Aldrick Arceo; Allison Bennett; Melanie Tham; Bolaji Olanrewaju; Molly McGrail; Kaan Isin; Alexander W. Olson; Shoshanna Saxe

doi:10.1038/s41597-022-01141-8

Scientific Data (Feb 2022)

A construction classification system database for understanding resource use in building construction

Gursans Guven,
Aldrick Arceo,
Allison Bennett,
Melanie Tham,
Bolaji Olanrewaju,
Molly McGrail,
Kaan Isin,
Alexander W. Olson,
Shoshanna Saxe

Affiliations

Gursans Guven: University of Toronto, Department of Civil and Mineral Engineering
Aldrick Arceo: University of Toronto, Department of Civil and Mineral Engineering
Allison Bennett: University of Toronto, Department of Civil and Mineral Engineering
Melanie Tham: University of Toronto, Department of Civil and Mineral Engineering
Bolaji Olanrewaju: University of Toronto, Department of Civil and Mineral Engineering
Molly McGrail: University of Toronto, Department of Civil and Mineral Engineering
Kaan Isin: University of Toronto, Department of Civil and Mineral Engineering
Alexander W. Olson: University of Toronto, Centre for Analytics and Artificial Intelligence Engineering
Shoshanna Saxe: University of Toronto, Department of Civil and Mineral Engineering

DOI: https://doi.org/10.1038/s41597-022-01141-8
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 12

Abstract

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Measurement(s) material quantities Technology Type(s) digital curation • material takeoffs Factor Type(s) building • building type • location Sample Characteristic - Environment anthropogenic environment Sample Characteristic - Location Canada • United States of America Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.17209331

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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