ArticleScientific data2025
Disaggregated Municipal Energy Consumption and Emissions in End-use Sectors in Germany and Spain for 2022.
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.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Disaggregated Municipal Energy Consumption and Emissions in End-use Sectors in Germany and Spain for 2022.Scientific data · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Sectorally-detailed municipal energy consumption and emissions datasets are crucial for localized policy-making, resource allocation, and climate action planning. While some large municipalities develop bottom-up inventories, smaller ones often lack the capacity to do so. Existing studies have spatially disaggregated national totals, yet no dataset to date provides both energy consumption and emissions data across multiple sectors at the municipal level. This study addresses that gap by disaggregating national final energy consumption and emissions data in 2022 to the municipal level for Germany and Spain. The dataset covers five key end-use sectors: industry, transport, agriculture, households, and commerce. Where available, sub-sectors such as passenger and freight transport, or specific industries like chemical and paper manufacturing are further considered for disaggregation. Two main challenges are addressed: the limited availability of municipal-level proxies and the presence of missing values in proxy datasets. We apply XGBoost for imputation and implement a step-wise disaggregation using regional statistics. Using only open data, we ensure replicability, and assign confidence ratings to all values to support transparent interpretation.
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Registered trials
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.