To provide country-level estimates of populations and land areas in river delta- and non-delta contexts for the years 1990, 2000, 2014, and 2015 for 246 statistical areas, focusing on greater-risk zones using the global extent of low elevation zones contiguous to the coast bounded by either 5 meters or 10 meters.

To validate and expand upon JRC's Urban Centre Database (UCDB) to provide place names and population data for settlements around the world.

To provide annual global surface concentrations (micrograms per cubic meter) of all composition ground-level fine particulate matter less than or equal to 2.5 microns in diameter (PM2.5) for large-scale health and environmental research.

To provide a U.S. county-level multi-hazard climate risk projection for 2040-2049 for climate, socioeconomic, environmental, and other related research.

To provide national and subnational estimates of SDG indicator 7.1.1, the proportion of the population with access to electricity, produced using global open data.

To provide urban center level estimates of the proportion of population that has convenient access to public transportation.

To provide national and subnational estimates of SDG indicator 9.1.1, which measures the proportion of the rural population who live within 2 kilometers of an all-season road.

To provide urban center level estimates of the average share of the built-up area of cities that is open space for public use for all.

To provide a 1 km grid of the CDC Social Vulnerability Index (SVI) aligned with CIESIN's Gridded Population of the World, Version 4, Revision 11 (GPWv4.11) with a mask for water and no population.

To provide an annual global surface of concentrations (micrograms per cubic meter) of all composition ground-level fine particulate matter of 2.5 micrometers or smaller (PM2.5) for large-scale health and environmental research.

To provide data characterizing 67 years (1948-2014) of anomalous freshwater surpluses, deficits, and the parameters determining them, across the global terrestrial surface.

To provide tabular data to researchers without GIS capabilities who need data on population and land area by country across a range of physical characteristics. These include measures such as the number of persons living within coastal zones, the total area within a specific elevation strata, or the number of persons living within different climate zones.

To provide a global gridded relative deprivation index characterizing the levels of multidimensional deprivation in each pixel at ~1 km resolution.

To provide quantitative metrics for evaluating a country's environmental performance in different policy categories relative to clearly defined targets.

To provide a data set that allows users to understand how slow-onset climate change impacts on water availability and crop productivity, coupled with sea-level rise and storm surge, may affect the future population distribution and climate-related internal migration in low to middle income countries.

To provide the subnational location for different types of natural disasters recorded in EM-DAT between 1960-2018.

To provide global data on human population, built up area, and degree of urbanization for the years 1975, 1990, 2000, and 2014/2015 in the World Geodetic System 1984 (WGS84) geographic coordinate system.

To provide global SSP-consistent spatial urban land projections and base year grids based on the Shared Socioeconomic Pathways (SSPs) data at a resolution of one-eighth degree (7.5 arc-minutes) for climate, socioeconomic, environmental, and other related research.

To provide a global subnational map of infant mortality rate estimates for the year 2015, to be used by a wide user community in interdisciplinary studies of health, poverty, and the environment.

To provide estimates of urban and rural populations and land areas for the years 1990, 2000, 2015 for 234 countries and statistical areas with contiguous coastal elevations of less than or equal to 5m above sea level, 5-10m above sea level, and national totals using multiple updated data sources for comparative analysis.