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  EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings

Milojevic-Dupont, N., Wagner, F., Nachtigall, F., Hu, J., Brüser, G. B., Zumwald, M., Biljecki, F., Heeren, N., Kaack, L. H., Pichler, P.-P., Creutzig, F. (2023): EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings. - Scientific Data, 10, 147.
https://doi.org/10.1038/s41597-023-02040-2

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 Creators:
Milojevic-Dupont, Nikola1, Author
Wagner, Felix1, Author
Nachtigall, Florian1, Author
Hu, Jiawei1, Author
Brüser, Geza Boi1, Author
Zumwald, Marius1, Author
Biljecki, Filip1, Author
Heeren, Niko1, Author
Kaack, Lynn H.1, Author
Pichler, Peter-Paul2, Author              
Creutzig, Felix1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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Free keywords: Climate-change mitigation Climate-change policy Geography Sustainability
 Abstract: Building stock management is becoming a global societal and political issue, inter alia because of growing sustainability concerns. Comprehensive and openly accessible building stock data can enable impactful research exploring the most effective policy options. In Europe, efforts from citizen and governments generated numerous relevant datasets but these are fragmented and heterogeneous, thus hindering their usability. Here, we present eubucco v0.1, a database of individual building footprints for ~202 million buildings across the 27 European Union countries and Switzerland. Three main attributes – building height, construction year and type – are included for respectively 73%, 24% and 46% of the buildings. We identify, collect and harmonize 50 open government datasets and OpenStreetMap, and perform extensive validation analyses to assess the quality, consistency and completeness of the data in every country. eubucco v0.1 provides the basis for high-resolution urban sustainability studies across scales – continental, comparative or local studies – using a centralized source and is relevant for a variety of use cases, e.g., for energy system analysis or natural hazard risk assessments.

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Language(s): eng - English
 Dates: 2023-03-202023-03-20
 Publication Status: Finally published
 Pages: 17
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: PIKDOMAIN: FutureLab - Social Metabolism and Impacts
Organisational keyword: FutureLab - Social Metabolism and Impacts
DOI: 10.1038/s41597-023-02040-2
MDB-ID: No data to archive
Regional keyword: Europe
Research topic keyword: Sustainable Development
OATYPE: Gold Open Access
PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
Working Group: Cities: Data Science and Sustainable Planning
 Degree: -

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Title: Scientific Data
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 10 Sequence Number: 147 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1911041
Publisher: Nature