<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Stowell D</submitter><funding>Alan Turing Institute</funding><pagination>394</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7666217</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7(1)</volume><pubmed_abstract>Solar photovoltaic (PV) is an increasingly significant fraction of electricity generation. Efficient management, and innovations such as short-term forecasting and machine vision, demand high-resolution geographic datasets of PV installations. However, official and public sources have notable deficiencies: spatial imprecision, gaps in coverage and lack of crucial meta data, especially for small-scale solar panel installations. We present the results of a major crowd-sourcing campaign to create open geographic data for over 260,000 solar PV installations across the UK, covering an estimated 86% of the capacity in the country. We focus in particular on capturing small-scale domestic solar PV, which accounts for a significant fraction of generation but was until now very poorly documented. Ou</pubmed_abstract><journal>Scientific data</journal><pubmed_title>A harmonised, high-coverage, open dataset of solar photovoltaic installations in the UK.</pubmed_title><pmcid>PMC7666217</pmcid><funding_grant_id>TU/ASG/R-SPES-115</funding_grant_id><pubmed_authors>Taylor J</pubmed_authors><pubmed_authors>Kelly J</pubmed_authors><pubmed_authors>Jones E</pubmed_authors><pubmed_authors>Geddes J</pubmed_authors><pubmed_authors>Chalstrey E</pubmed_authors><pubmed_authors>Stowell D</pubmed_authors><pubmed_authors>Tanner D</pubmed_authors></additional><is_claimable>false</is_claimable><name>A harmonised, high-coverage, open dataset of solar photovoltaic installations in the UK.</name><description>Solar photovoltaic (PV) is an increasingly significant fraction of electricity generation. Efficient management, and innovations such as short-term forecasting and machine vision, demand high-resolution geographic datasets of PV installations. However, official and public sources have notable deficiencies: spatial imprecision, gaps in coverage and lack of crucial meta data, especially for small-scale solar panel installations. We present the results of a major crowd-sourcing campaign to create open geographic data for over 260,000 solar PV installations across the UK, covering an estimated 86% of the capacity in the country. We focus in particular on capturing small-scale domestic solar PV, which accounts for a significant fraction of generation but was until now very poorly documented. Ou</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Nov</publication><modification>2025-04-04T22:53:58.815Z</modification><creation>2025-04-04T22:53:58.815Z</creation></dates><accession>S-EPMC7666217</accession><cross_references><pubmed>33188212</pubmed><doi>10.1038/s41597-020-00739-0</doi></cross_references></HashMap>