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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21 to 30 of 41 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.
Unknown - 140.0 KB - MD5: 25d43434936d7bd58cf28b4b3bb7d5cb
Geopackage (.gpkg) file with the 184 selected georeferenced healthcare facilities used for this study, represented as points. Columns are: facility name, type, town, region, district, ownership,area of settlement in which the HCF is located, settlement population by 2020, number of households attributed to the HCF.
Unknown - 556.0 KB - MD5: f977fc3d4103568053675cc60ede2188
Geopackage (.gpkg) file with all georeferenced healthcare facilities in Ghana represented as points. Attributes include: type of facility, ownership, as well as the town, district and region in which they are located.
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.
Unknown - 1.6 MB - MD5: aa5858c0ae2e6366b9fbd0b774819daa
Geopackage with electricity grid infrastructure in Ghana. Only attributes included: unique identifier and source of (multi)line features.
Unknown - 8.5 MB - MD5: 47bc9877fded0fce860277316d93852a
Geopackage file with a single polygon representing off- and weak-grid areas in Ghana, i.e. areas assumed to be unelectrified.
TIFF Image - 6.4 MB - MD5: b831c443348720260b638412573bf8bc
Geotif file with nightlight imagery of Ghana used for this study.
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...
Unknown - 8.8 MB - MD5: e484185845715597086a2101b0117864
Geopackage with all selected settlements, from SSAs to Hamlets, which were used for the pre-feasibility analysis in this study. All settlements are taken from GRID3 data created by the Center for International Earth Science Information Network (CIESIN), at Columbia University.
Unknown - 65.6 MB - MD5: b200cc8911642dfe42122f6ff2cb0a81
Geopackage with Built-up areas in Ghana, i.e. areas with moderately-to-densely-spaced buildings, a visible grid of streets and blocks, and areas greater than 0,4 square kms (CIESIN, 2020).
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