Evidence map›Paper›PMID 42067544›Full record

ArticleScientific data2026

ClimActor 2.0: A spatialized database of subnational climate pledges and emissions data.

Diego Manya, Katherine Burley Farr, Elizabeth Brown, Andrew Martin, Angel Hsu

Abstract read
In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Diego ManyaData-Driven EnviroLab, UNC Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516, USA.
Katherine Burley FarrData-Driven EnviroLab, UNC Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516, USA.
Elizabeth BrownData-Driven EnviroLab, UNC Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516, USA.
Andrew MartinData-Driven EnviroLab, UNC Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516, USA.
Angel HsuData-Driven EnviroLab, UNC Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516, USA. angel.hsu@unc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ClimActor 2.0 is an open, spatialized database that compiles climate targets, action plans, and self-reported emission inventories from subnational governments, including cities, municipalities, states and regions, worldwide. The dataset provides standardized administrative boundaries for each entity, enabling direct linkage to geospatial data such as population, GDP, land cover, and other globally-gridded datasets. Each record is anchored to a unique identifier that connects decision-making authorities to their corresponding geometries. The database integrates information from 14 major climate disclosure platforms and reporting initiatives, complemented with a few national-level datasets. In total, ClimActor includes over 15,000 entities that participate in a national or transnational climate initiative, of which more than 10,000 of these entities have adopted either a climate mitigation target or plan. In addition to the harmonized spatial boundaries, ClimActor 2.0 provides four harmonized core datasets: aggregated emissions, sectoral emissions, climate targets, and climate plans, in addition to network participation data. Users can utilize the data as a standalone dataset or as an open-source R statistical computing software package, which includes a set of cleaning and matching functions that allow users to easily combine other datasets with ClimActor 2.0 for a wide range of subnational climate action analyses.

Identifiers

PMID42067544
PMCPMC13342087

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.