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.3369107</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>2019</publicationYear> <subjects> <subject>electricity</subject> <subject>infrastructure</subject> <subject>power</subject> </subjects> <dates> <date dateType="Issued">2019-08-15</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3369107</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3369106</relatedIdentifier> </relatedIdentifiers> <version>1.0.0</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>Four primary global data outputs from the research:</p> <ul> <li><strong>hv.gpkg:</strong> Dump of OpenStreetMap grid data, slightly cleaned and tagged. (C) OpenStreetMap contributors.</li> <li><strong>targets.tif:</strong> Binary aster showing locations predicted to be connected to distribution grid.</li> <li><strong>mv.gpkg:</strong> Vectorized predicted distribution line network.</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/energy-infra</li> <li>https://github.com/carderne/accessestimator</li> </ul> <p>Full steps to reproduce are contained in this file:</p> <ul> <li>https://github.com/carderne/energy-infra/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>
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