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Quantifying Carbon Reduction from Existing Buildings: Classification of 1,050 Abstracts of Global Peer Reviewed Journal Articles, 2017-2024

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DataCite Commons2025-07-07 更新2026-05-06 收录
下载链接:
http://reshare.ukdataservice.ac.uk/id/eprint/857925
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资源简介:
Retrofitting buildings to reduce energy use and carbon emissions is critical for climate change mitigation. This dataset provides the underlying data of a meta-survey of the global academic literature on retrofit and energy and carbon reduction from 2017-2024. The paper that accompanies this dataset identifies research priorities and knowledge gaps. Rigorous thematic and bibliographic network analysis of 1,050 abstracts identified a range of significant research gaps. Categorisations include countries and types of buildings and retrofits studied, methods used and subjects and lifecycle stages covered. Short summaries and clarification of papers on 96 countries published in 187 journals is included in the dataset. The data will be useful for researchers wishing to investigate different aspects of the academic literature quantifying carbon reduction from existing buildings.
提供机构:
UK Data Service
创建时间:
2025-07-07
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