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 (EEZ)data/eez/eez_v11.gpkgSource: Marine RegionsLicense: CC-BYLicense information: marineregions.org Zambia Land Cover (PROBA-V LC100)data/copernicus/ZM_PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tifLicense: CC-BY-4.0Zenodo record: zenodo.org Demand Data for Africa (GlobalEnergyGIS)data/ssp2-2.6/era5_2013/Africa.ncPart of a dataset generated for PyPSA-Earth using GlobalEnergyGIS: github.com: 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 Areasdata/natura.tiffLicense: Creative Commons Zero (CC0 1.0 Universal)Dataset link: Fioriti, Davide (2022). Natura raster, zenodo.org link: Sosa Arango, C. C. (2020). Protected areas (WDPA). Harvard Dataverse. doi.org 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. doi.org 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:pypsa-zambia.readthedocs.io