ArticleScientific data2026
LOCC-GER - A georeferenced local climate policy database for Germany.
Article in Scientific data, 2026. 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
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.
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.
- LOCC-GER - A georeferenced local climate policy database for Germany.Scientific data · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Local climate action has increased massively worldwide. Germany is a noteworthy case in this respect, as local measures have been strongly promoted by the federal system over the past two decades. However, studying policies, their determinants, and consequences at this scale has been difficult so far due to a lack of centralized data. This article introduces LOCC-GER, the largest existing dataset of georeferenced local climate policy-making in Germany. The dataset currently covers 26,142 measures from 5,033 municipalities, including detailed descriptions of employed measures, funding sum, and duration from 2008 to 2023. It is extended with important local context variables on public opinion and civil society activities, as well as detailed weather and climate indicators. We demonstrate how it can be used to map and analyze local governments' actions on climate change. Finally, we discuss how LOCC-GER may be extended by academics and other users through our proposed workflow for user-specific linking with additional covariates, offering high spatial and temporal flexibility.
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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.