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

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 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 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 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 a polygon representation of urban areas with city or agglomeration name and time series population estimates.

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

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.

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 point locations and attributes describing nuclear power plants and reactors.

To provide an easily accessible, corrected data set of polygons for hazardous waste sites in the United States which can be used to identify nearby populations and assess their potential risk.

To provide an open access, well documented global data set of roads between settlements using a consistent data model (UNSDI-T v.2) which is, to the extent possible, topologically integrated.

To provide a geographically explicit and reliable database of reservoirs for the scientific community.

To permit cartographic display of coastlines that exactly match the GRUMPv1 population surfaces.

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

To permit cartographic display of countries and territories that exactly match the GRUMPv1 population surfaces