January 16, 2020 Dataset Open Access

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

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    "description": "<p>Three primary global data outputs from the research:</p>\n\n<ul>\n\t<li><strong>grid.gpkg:</strong> Vectorized predicted distribution and transmission line network, with existing OpenStreetMap lines tagged in the &#39;source&#39; column</li>\n\t<li><strong>targets.tif:</strong> Binary raster showing locations predicted to be connected to distribution grid.&nbsp;</li>\n\t<li><strong>lv.tif:</strong> Raster of predicted low-voltage infrastructure in kilometres per cell.</li>\n</ul>\n\n<p>This data was created with code in the following three repositories:</p>\n\n<ul>\n\t<li>https://github.com/carderne/gridfinder</li>\n\t<li>https://github.com/carderne/predictive-mapping-global-power</li>\n\t<li>https://github.com/carderne/access-estimator</li>\n</ul>\n\n<p>Full steps to reproduce are contained in this file:</p>\n\n<ul>\n\t<li>https://github.com/carderne/predictive-mapping-global-power/blob/master/README.md</li>\n</ul>\n\n<p>The data can be visualized at the following location:</p>\n\n<ul>\n\t<li>https://gridfinder.org</li>\n</ul>", 
    "license": {
      "id": "CC-BY-4.0"
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    "title": "Data from: Predictive mapping of the global power system using open data", 
    "journal": {
      "volume": "7", 
      "issue": "Article 19", 
      "title": "Nature Scientific Data"
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    "keywords": [
      "electricity", 
      "infrastructure", 
      "power"
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    "publication_date": "2020-01-16", 
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        "affiliation": "World Bank Group", 
        "name": "Arderne, Christopher"
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        "affiliation": "World Bank Group", 
        "name": "NIcolas, Claire"
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        "affiliation": "University of Oxford", 
        "name": "Zorn, Conrad"
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        "affiliation": "University of Oxford", 
        "name": "Koks, Elco E."
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