Data provided in this dataverse is collected, acquired and processed within the EnerSHelF (Energy Supply for Healthcare Facilities in Ghana) project financed by the German Federal Ministry of Education and Research (BMBF). Funding period: 01.06.2019 – 31.03.2023. BMBF funding grant number 03SF0567C. For additional information, please visit: https://enershelf.de/
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11 to 13 of 13 Results
Mar 9, 2023 - I Geospatial Analysis
Cader, Catherina; Andrade, Andrés, 2023, "Healthcare Facilities in Ghana", https://doi.org/10.7910/DVN/AH4M1E, Harvard Dataverse, V1
Contains two georeferenced files (geopackages). One has 2,614 correctly georeferenced health facilities across Ghana. The other contains a subsection of 184 health facilities, for which mini-grid energy system simulations were run. All georeferenced files have the projected coordinate system EPSG:32630.
Mar 9, 2023 - I Geospatial Analysis
Cader, Catherina; Andrade, Andrés, 2023, "Electricity Infrastructure in Ghana", https://doi.org/10.7910/DVN/7VAEIS, Harvard Dataverse, V1
Contains georeferenced files (geopackages) with Ghana's electricity infrastructure. Includes: electricity grid network, nightlight imagery, and binary night-light mask derived from it depicting electrified from non-electrified areas in Ghana. All georeferenced files have the projected coordinate system EPSG:32630.
Mar 9, 2023 - I Geospatial Analysis
Cader, Catherina; Andrade, Andrés, 2023, "Population Settlements in Ghana", https://doi.org/10.7910/DVN/FLBK2M, Harvard Dataverse, V1
This dataset contains all population settlements in Ghana used in this study, based on the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) and High Resolution Settlement Layer (HRSL) data. Columns and their unit are: 1) type (BUA, SSA, or hamlet), 2) "Area_km2" [km^2], 3) "Region", 4) "District", 5) "Pop2020" as absolute...
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