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.

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

To provide a time series of raster population data for ntegration with other data sets.

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

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 a raster representation of urban areas (or urban mask) for use with GRUMP population grids or other data sets.

To provide a time series of raster population density data for data integration.

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

To provide land area data for use with GRUMPv1 population and urban data as well as a quantitative measure of resolution of the input spatial units for GRUMPv1.

To permit the summation of population values by country/territory and, in combination with other data layers, the summation of population values by irregular areas represented in the other data layers and country/territory.

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 raster representations of global summer daytime maximum and nighttime minimum surface temperature for studies related to human health and climate change.

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 assess likely future areas of urban expansion up to the year 2030.

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

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 populated place (point) data with consistent population estimates.

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

To provide high spatial resolution estimates of global urban extent derived from global 30m Landsat satellite data for the target year 2010 and a companion dataset to the Global Man-made Impervious Surface (GMIS) dataset.