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 high-resolution, longitudinal global data set of annual extreme humid-heat.

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 global estimates of the surface urban heat island intensity from monthly, seasonal, to annual scales for over 10,000 urban clusters developed using a simplified urban-extent algorithm.

To provide a database of inequality measures using satellite and population data at a global scale.

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

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

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

To visualize changes in brightness and extent of global nighttime lights networks over two decades with improved radiometric accuracy and finer spatial resolution.

To provide a cumulative measure of human modification of terrestrial lands based on modeling the physical extents of 13 anthropogenic stressors and their estimated impacts using spatially-explicit global data sets.

To provide spatially-explicit data that relatively rank global land suitability referred to as Development Potential Indices (DPIs) for 13 sectors related to renewable energy, fossil fuels, mining and agriculture as an aid to conservation priority setting.

To provide a future development threat map based on combining these resources: agricultural expansion, urban expansion, conventional oil and gas, unconventional oil and gas, coal, mining, biofuels, solar, and wind.

To provide data on changes in freshwater availability in order to better understand impacts on regional food supplies, human and ecosystem health, energy generation, and social unrest.

To provide representations of urban areas in the Continental U.S. in the year 2015 to support sustainable urban development planning in accordance with the growth of urban areas.

To provide data that can be used to calculate trace gas and aerosol emissions, due to fires; monitor and assess national efforts to manage emissions.

To provide high and low resolution elevation in forested ecosystems in the coastal zone of West Africa.

To provide a measure of economic activity in the coastal zone of West Africa based on nighttime lights.

To provide data that can be used to calculate trace gas and aerosol emissions due to fires; monitor and assess national efforts to manage emissions.