Evidence map›Paper›PMID 32350265›Full record

ArticleScientific data2020

Harmonised global datasets of wind and solar farm locations and power.

Sebastian Dunnett, Alessandro Sorichetta, Gail Taylor, Felix Eigenbrod

Abstract read
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  13. Landscape-scale predictions of future grassland conversion to cropland or development.Conservation biology : the journal of the Society for Conservation Biology · 2025
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  19. Reply to Niebuhr et al.: Infrastructure impacts must always be assessed locally.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

4 authors.

Sebastian DunnettSchool of Geography & Environmental Science, University of Southampton, Southampton, UK. sebdunnett@gmail.com.ORCID http://orcid.org/0000-0002-4238-2508
Alessandro SorichettaSchool of Geography & Environmental Science, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0002-3576-5826
Gail TaylorBiological Sciences, University of Southampton, Southampton, UK.
Felix EigenbrodSchool of Geography & Environmental Science, University of Southampton, Southampton, UK.

Funding

RCUK | Natural Environment Research Council (NERC) NE/M019640/1
6 · The paper itself

Abstract

Energy systems need decarbonisation in order to limit global warming to within safe limits. While global land planners are promising more of the planet's limited space to wind and solar photovoltaic, there is little information on where current infrastructure is located. The majority of recent studies use land suitability for wind and solar, coupled with technical and socioeconomic constraints, as a proxy for actual location data. Here, we address this shortcoming. Using readily accessible OpenStreetMap data we present, to our knowledge, the first global, open-access, harmonised spatial datasets of wind and solar installations. We also include user friendly code to enable users to easily create newer versions of the dataset. Finally, we include first order estimates of power capacities of installations. We anticipate these data will be of widespread interest within global studies of the future potential and trade-offs associated with the global decarbonisation of energy systems.

Identifiers

PMID32350265
PMCPMC7190618

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.