Dataset Open Access
Arderne, Christopher;
NIcolas, Claire;
Zorn, Conrad;
Koks, Elco E.
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.3628142</identifier> <creators> <creator> <creatorName>Arderne, Christopher</creatorName> <givenName>Christopher</givenName> <familyName>Arderne</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7904-2216</nameIdentifier> <affiliation>World Bank Group</affiliation> </creator> <creator> <creatorName>NIcolas, Claire</creatorName> <givenName>Claire</givenName> <familyName>NIcolas</familyName> <affiliation>World Bank Group</affiliation> </creator> <creator> <creatorName>Zorn, Conrad</creatorName> <givenName>Conrad</givenName> <familyName>Zorn</familyName> <affiliation>University of Oxford</affiliation> </creator> <creator> <creatorName>Koks, Elco E.</creatorName> <givenName>Elco E.</givenName> <familyName>Koks</familyName> <affiliation>University of Oxford</affiliation> </creator> </creators> <titles> <title>Data from: Predictive mapping of the global power system using open data</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2020</publicationYear> <subjects> <subject>electricity</subject> <subject>infrastructure</subject> <subject>power</subject> </subjects> <dates> <date dateType="Issued">2020-01-16</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3628142</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsCitedBy" resourceTypeGeneral="Text">10.1038/s41597-019-0347-4</relatedIdentifier> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3369106</relatedIdentifier> </relatedIdentifiers> <version>1.1.1</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>Three primary global data outputs from the research:</p> <ul> <li><strong>grid.gpkg:</strong> Vectorized predicted distribution and transmission line network, with existing OpenStreetMap lines tagged in the &#39;source&#39; column</li> <li><strong>targets.tif:</strong> Binary raster showing locations predicted to be connected to distribution grid.&nbsp;</li> <li><strong>lv.tif:</strong> Raster of predicted low-voltage infrastructure in kilometres per cell.</li> </ul> <p>This data was created with code in the following three repositories:</p> <ul> <li>https://github.com/carderne/gridfinder</li> <li>https://github.com/carderne/predictive-mapping-global-power</li> <li>https://github.com/carderne/access-estimator</li> </ul> <p>Full steps to reproduce are contained in this file:</p> <ul> <li>https://github.com/carderne/predictive-mapping-global-power/blob/master/README.md</li> </ul> <p>The data can be visualized at the following location:</p> <ul> <li>https://gridfinder.org</li> </ul></description> </descriptions> </resource>
All versions | This version | |
---|---|---|
Views | 2,071 | 1,214 |
Downloads | 2,380 | 2,107 |
Data volume | 1.0 TB | 920.9 GB |
Unique views | 1,701 | 1,021 |
Unique downloads | 1,255 | 1,119 |