January 16, 2020 Dataset Open Access

Arderne, Christopher; NIcolas, Claire; Zorn, Conrad; Koks, Elco E.

Dublin Core Export

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  <dc:creator>Arderne, Christopher</dc:creator>
  <dc:creator>NIcolas, Claire</dc:creator>
  <dc:creator>Zorn, Conrad</dc:creator>
  <dc:creator>Koks, Elco E.</dc:creator>
  <dc:date>2020-01-16</dc:date>
  <dc:description>Three primary global data outputs from the research:


	grid.gpkg: Vectorized predicted distribution and transmission line network, with existing OpenStreetMap lines tagged in the 'source' column
	targets.tif: Binary raster showing locations predicted to be connected to distribution grid. 
	lv.tif: Raster of predicted low-voltage infrastructure in kilometres per cell.


This data was created with code in the following three repositories:


	https://github.com/carderne/gridfinder
	https://github.com/carderne/predictive-mapping-global-power
	https://github.com/carderne/access-estimator


Full steps to reproduce are contained in this file:


	https://github.com/carderne/predictive-mapping-global-power/blob/master/README.md


The data can be visualized at the following location:


	https://gridfinder.org
</dc:description>
  <dc:identifier>https://zenodo.org/record/3628142</dc:identifier>
  <dc:identifier>10.5281/zenodo.3628142</dc:identifier>
  <dc:identifier>oai:zenodo.org:3628142</dc:identifier>
  <dc:relation>doi:10.1038/s41597-019-0347-4</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3369106</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:source>Nature Scientific Data 7(Article 19)</dc:source>
  <dc:subject>electricity</dc:subject>
  <dc:subject>infrastructure</dc:subject>
  <dc:subject>power</dc:subject>
  <dc:title>Data from: Predictive mapping of the global power system using open data</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>