PyPSA-Earth Databundle

PyPSA-Earth Databundle Input Data for the PyPSA-Earth Model for Modelling the Energy System of Any Region on Earth Description This record provides the PyPSA-Earth Databundle, a curated collection of research-grade input datasets required to run the PyPSA-Earth energy system model at high spatial and temporal resolution. This databundle is intended for research and modelling applications and has global coverage. It contains harmonised geospatial, climate, environmental, and socio-economic datasets prepared for integration into the PyPSA-Earth workflow. This repository contains the data that must be placed in the data folder of the PyPSA-Earth repository, whereas pre-compiled weather datasets intended for the cutouts folder are stored in separate Zenodo repositories or can be generated autonomously using the PyPSA-Earth model.  Please note that there is also a tutorial databundle with reduced spatial coverage intended for tutorial and testing applications. PyPSA-Earth is an open-source, sector-coupled global energy system modelling framework built on PyPSA and developed within the PyPSA meets Earth initiative. Documentation: pypsa-earth.readthedocs.ior…: github.com: Parzen M., Abdel-Khalek H., Fedotova E., Mahmood M., Frysztacki M.M., Hampp J., Franken L., Schumm L., Neumann F., Poli D., Kiprakis A., Fioriti D.. PyPSA-Earth. A new global open energy system optimization model demonstrated in Africa. Applied Energy 2023; 341. doi:10.1016/j.apenergy.2023. 121096. Included Data The databundle includes the following datasets: Exclusive Economic Zones (EEZ)data/eez/eez_v11.gpkgSource: Marine RegionsLicense: CC-BYLicense information: marineregions.org Global Bathymetry (GEBCO 2025)data/gebco/GEBCO_2025_sub_ice.ncSource: GEBCOLicense: Public DomainLicense information: gebco.net Global Land Cover (PROBA-V LC100)data/copernicus/PROBAV_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tifLicense: CC-BY-4.0Zenodo record: zenodo.org Electricity Demand Data (GlobalEnergyGIS)data/ssp2-2.6/*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 Gridded GDP datasetdata/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: doi.org  Protected Areasdata/natura.tiffLicense: Creative Commons Zero (CC0 1.0 Universal)Dataset 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-earth.readthedocs.io