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 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 subnational (county) population projection scenarios for the United States essential for understanding long-term demographic changes, planning for the future, and decision-making in a variety of applications.

To provide daily 8-hour maximum and annual ground-level Ozone (O3) 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 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 provide a polygon representation of urban areas with city or agglomeration name and time series population estimates.

To provide daily and annual PM2.5 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 gridded data that identify the level of intensity and frequency of food insecurity over the 10 years between 2009 and 2019, as well as hotspot areas that have experienced consecutive food insecurity events, based on FEWS NET Food Security Data.

To describe changing population distribution and growth in Latin America and the Caribbean using spatially consistent and comparable units at a spatial resolution suitable to regional change analysis.

To provide high-resolution population and urban classification data for India for 2011.

To provide a vector (point) version of the input administrative units used in GPWv4 with population estimates, densities, 2010 basic demographic characteristics, and administrative name, area, and data context for use in data integration.

To provide a raster representation of nation-states in GPWv4 for use in aggregating population data.

To provide data that can be used in independent spatial statistical analyses, construction of development-related indices, or in combination with remote sensing data in order to identify spatio-temporal patterns and/or changes in different demographic categories, such as male, female, urban, rural, level of education, etc.

To provide mangrove forests in the coastal zone of West Africa that may be exposed to the threats of sea level rise and storm surge.

To measure human security and sensitivity of populations to climate stressors in the coastal zone of West Africa.

To provide roads linking rural production to urban markets in the coastal zone of West Africa that represent an important exposed infrastructure asset.

To provide populated place (point) data with consistent population estimates.

To provide urban land use and informal settlements for the years 1982, 1992, 1998, and 2002 in Dar es Salaam, Tanzania.

To provide a global data set of average summer daytime maximum/nighttime minimum land surface temperatures (LSTs) for urban extents, as well as the LST difference between the urban area and the buffer.