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 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 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 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 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) for large-scale health and environmental research.

To assess relative levels of economic activity 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 roads linking rural production to urban markets in the coastal zone of West Africa that represent an important exposed infrastructure asset.

To provide market accessibility in the coastal zone of West Africa.

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 back-cast population count estimates at 30 arc-second (~1 km) resolution.

To provide back-cast population density estimates at 30 arc-second (~1 km) resolution.

To provide a continuous surface of NO2 concentrations for health and environmental research.

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.

To provide high spatial resolution estimates of global man-made imperviousness for the target year 2010, derived from global 30m Landsat satellite data and a companion dataset to the Global Human Built-up And Settlement Extent (HBASE) dataset.

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

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.