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 a unique crop yield data set that spans the twentieth century for many of the world's major bread baskets.

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 assess country-level vulnerability and coping capacity related to climate change based on the data set used in Chapter 8 of the Sixth Assessment Report (AR6) by the Intergovernmental Panel on Climate Change (IPCC) Working Group II (WGII).

To provide daily and annual Nitrogen Dioxide (NO2) concentration data in the U.S. at a resolution of 1 km (about 30 arc-seconds) for public health research to respectively estimate short- and long-term effects on human health, and for other related research.

To provide a 28-year time series of microwave backscatter to support analysis of patterns and trends in growth of global urban building infrastructure.

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

To provide a framework of public-health-focused air quality indicators that quantifies country trends in exposure to major air pollutants.

To provide daily and annual Fine Particulate Matter (PM2.5), Ozone (O3), and Nitrogen Dioxide (NO2) concentrations data at ZIP Codes for the contiguous U.S. for research in environmental epidemiology, environmental justice, and health equity by linking with ZIP Code-level demographic and medical data sets, and for other related research.

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

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

To provide an annual global surface of concentrations (micrograms per cubic meter) of mineral dust and sea-salt filtered fine particulate matter of 2.5 micrometers or smaller (PM2.5) in countries and urban areas for large-scale health and environmental research

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 global SSP-consistent spatial urban land projections and base year grids based on the Shared Socioeconomic Pathways (SSPs) data at a resolution of 1-km (about 30 arc-seconds) for climate, socioeconomic, environmental, and other related research.

To provide a high-resolution, longitudinal global data set of extreme urban heat events and urban heat exposure.

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 a literature database tracking the use of a global scenarios framework consisting of Shared Socioeconomic Pathways (SSPs), Representative Concentration Pathways (RCPs), and Shared Policy Assumptions (SPAs), for climate, socioeconomic, environmental, and other related research.