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Dataset Open Access

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

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

Four 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 aster 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/energy-infra
  • https://github.com/carderne/accessestimator

Full steps to reproduce are contained in this file:

  • https://github.com/carderne/energy-infra/blob/master/README.md

The data can be visualized at the following location:

  • https://gridfinder.org

Files (1.0 GB)
Name Size
grid.gpkg
md5:e5d0e9bd8ce4de851e65c6adae1af386
724.6 MB Download
lv.tif
md5:d2e4e3078ab3d033e36b915824a93339
251.2 MB Download
targets.tif
md5:14ea25c90df810e9746838ff79b125cd
29.0 MB Download
1,626
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All versions This version
Views 1,626634
Downloads 1,844190
Data volume 775.2 GB70.7 GB
Unique views 1,322560
Unique downloads 94399

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