The global map of transboundary aquifers (TBAs) shows the surface delineation of aquifers extending over country borders.

Estimates of population density with age/sex breakdowns for each 100m x 100m grid square on the planet.

River network and a drainage model with catchments and drainage lines for Europe (derived from EU-DEM).

Dataset with article https://www.nature.com/articles/s41467-020-14386-x (https://doi.org/10.1038/s41467-020-14386-x). Despite its small land coverage, urban land and its expansion can have profound impacts on global environments. Therefore, a proper understanding of how future urban land change will affect other land covers is important to alleviate the social and environmental problems that challenge the sustainable developments of human societies. Recently, The Shared Socioeconomic Pathways (SSPs) were adopted by the Coupled Model Intercomparison Project Phase 6 (CMIP6), enabling researchers to conduct unified, comparable multi-scenario simulations and integrate such simulation products into climate change research. The SSPs focus on the key socio-economic factors including demographic dynamics, economic development, technological change, social, cultural, and institutional changes and policies. Here, we present the scenario projections of global urban land expansion under the framework of the shared socioeconomic pathways (SSPs) every 10 years from 2015 to 2100. Our projections feature a fine spatial resolution of 1 km that preserves spatial details and avoids potential distortions in urban land patterns. The objective is to enable the assessment of different scenarios of future urban expansion and their related impacts on a global scale under the latest recognized SSP scenarios.

20 years of means of climate indices (e.g. mean annual temperature), calculated from daily time series from the RCMs under the EUROCORDEX

The Global Runoff Data Base (GRDB) comprises river discharge data of well over 10,000 gauging stations from all over the world.

GlobTemperature is an ESA project that provides access to multipurpose satellite-based land, lake and ice surface temperature data sets. Historical period and resolutions vary.

The EC JRC global map of forest cover provides a spatially explicit representation of forest presence and absence for the year 2020 at 10m spatial resolution.

Soil moisture content in the surface layer (0.5-2 cm) express in degree of saturation (0 – 100 %) generated from ASCAT Metop-B at 12.5 km sampling, processed shortly after each satellite orbit completion.