Dataset Open Access

Data from: Predictive mapping of the global power system using open data

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


JSON-LD (schema.org) Export

{
  "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": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "World Bank Group", 
      "@id": "https://orcid.org/0000-0002-7904-2216", 
      "@type": "Person", 
      "name": "Arderne, Christopher"
    }, 
    {
      "affiliation": "World Bank Group", 
      "@type": "Person", 
      "name": "NIcolas, Claire"
    }, 
    {
      "affiliation": "University of Oxford", 
      "@type": "Person", 
      "name": "Zorn, Conrad"
    }, 
    {
      "affiliation": "University of Oxford", 
      "@type": "Person", 
      "name": "Koks, Elco E."
    }
  ], 
  "url": "https://zenodo.org/record/3628142", 
  "datePublished": "2020-01-16", 
  "version": "1.1.1", 
  "keywords": [
    "electricity", 
    "infrastructure", 
    "power"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/90c12884-41c8-4bf7-8ac0-046a0ee796d4/example.png", 
      "encodingFormat": "png", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/90c12884-41c8-4bf7-8ac0-046a0ee796d4/grid.gpkg", 
      "encodingFormat": "gpkg", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/90c12884-41c8-4bf7-8ac0-046a0ee796d4/lv.tif", 
      "encodingFormat": "tif", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/90c12884-41c8-4bf7-8ac0-046a0ee796d4/targets.tif", 
      "encodingFormat": "tif", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.3628142", 
  "@id": "https://doi.org/10.5281/zenodo.3628142", 
  "@type": "Dataset", 
  "name": "Data from: Predictive mapping of the global power system using open data"
}
1,637
1,855
views
downloads
All versions This version
Views 1,637908
Downloads 1,8551,628
Data volume 780.8 GB697.1 GB
Unique views 1,332759
Unique downloads 950840

Share

Cite as