PyPSA-Zambia Databundle

Input Data for the PyPSA-Zambia Workflow Datakit needed to run PyPSA-Zambia workflow. Deriven from PyPSA-Earth Databundle pypsameetsearth,J. Hampp, E. Nitschke, M. Parzen, D. Fioriti. DOI 10.5281/zenodo.18033570 Included Data The tutorial databundle includes subsets of the following datasets: Exclusive Economic Zones (global)data/eez/eez_v11.gpkgSource: Marine RegionsLicense: CC-BYLicense information: https://www.marineregions.org/disclaimer.php Zambia Land Cover (national)data/copernicus/ZM_PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tifLicense: CC-BY-4.0Zenodo record: https://zenodo.org/records/3939050 Demand Data for Africa (continental)data/ssp2-2.6/era5_2013/Africa.ncPart of a dataset generated for PyPSA-Earth using GlobalEnergyGIS: https://github.com/niclasmattsson/GlobalEnergyGISReference: Mattsson N, Verendel V, Hedenus F, Reichenberg L. An autopilot for energy models – Automatic generation of renewable supply curves, hourly capacity factors and hourly synthetic electricity demand for arbitrary world regions. Energy Strategy Rev 2021 Protected Areas (national)data/natura.tiffLicense: Creative Commons Zero (CC0 1.0 Universal)Dataset link: Fioriti, Davide (2022). Natura raster, https://zenodo.org/records/18033571Dataset link: Sosa Arango, C. C. (2020). Protected areas (WDPA). Harvard Dataverse. https://doi.org/10.7910/DVN/XIV9BLData paper: Khoury, C. K., et al. (2019). Data for the calculation of an indicator of the comprehensiveness of conservation of useful wild plants. Data in Brief, 22, 90–97. https://doi.org/10.1016/j.dib.2018.11.125 Gridded GDP dataset (global)data/GDP/GDP_PPP_1990_2015_5arcmin_v2.tifLicense: Creative Commons Zero (CC0 1.0 Universal)Reference: Kummu, M., Taka, M., & Guillaume, J. H. A. (2020), Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015*.Dataset link: https://doi.org/10.5061/dryad.dk1j0 WorldPop dataset (national)data/WorldPop/zmb_ppp_2020_UNadj_constrained.tifLicense: Creative Commons 4.0Processed by PyPSA-Earth worflow from the following original datasetReference: Bondarenko, M., Kerr, D., Sorichetta, A., & Tatem, A. J. (2020). Census/projection-disaggregated gridded population datasets for 189 countries in 2020 using Built-Settlement Growth Model (BSGM) outputs. WorldPop, University of Southampton, UK. https://doi.org/10.5258/SOTON/WP00684Dataset link: https://data.worldpop.org/GIS/Population/Global_2000_2020_Constrained/2020 Licensing All datasets retain their original licences (CC-BY, CC-BY-4.0, CC0 1.0 Universal, or Public Domain).Processed and harmonised derivatives distributed here comply with upstream licence terms. Users are responsible for complying with the original licences and citation requirements of each dataset. A licence overview is available at:https://pypsa-zambia.readthedocs.io/en/latest/introduction.html#license