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

To provide global gridded Gross Domestic Product (GDP) data in both Market Exchange Rate (MER) and Purchasing Power Parity (PPP) to be used for socioeconomic, environmental, climate, and other related research.

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 estimates of population count for the years 2000, 2005, 2010, 2015, and 2020, consistent with national censuses and population registers, as raster data to facilitate data integration.

To provide estimates of population count for the years 2000, 2005, 2010, 2015, and 2020, consistent with national censuses and population registers with respect to relative spatial distribution, but adjusted to match United Nations country totals. 

To provide pixel-level land and water surface area estimates.

To provide a vector (point) version of the input administrative units used in GPWv4 with population estimates for use in data integration.

To provide additional information about the quality of input population data and to provide context for the population count and density grids.

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

To provide estimates of population density for the years 2000, 2005, 2010, 2015, and 2020, based on counts consistent with national censuses and population registers with respect to relative spatial distribution, but adjusted to match United Nations country totals.

To provide estimates of population density for the years 2000, 2005, 2010, 2015, and 2020, based on counts consistent with national censuses and population registers, as raster data to facilitate data integration.

To provide information on the number of mammal species present at a one-kilometer spatial resolution which can be used in modeling efforts, wildlife conservation planning, natural resource management, policy-making, biodiversity studies and human-environment interactions.

To provide information on the number of amphibian species present at a one-kilometer spatial resolution which can be used in modeling efforts, wildlife conservation planning, natural resource management, policy-making, biodiversity studies and human-environment interactions.

To provide a continuous surface of concentrations (micrograms per cubic meter) of fine particulate matter of 2.5 micrometers or smaller (PM2.5) for health and environmental research.

To provide estimates of net-migration (in-migration minus out-migration) per one-kilometer grid cell on a decadal basis for the 1970s, 1980s, and 1990s.

To assist in the country selection process for the Millennium Challenge Corporation (MCC) by providing indicators of natural resource protection and child health that complements the governance, social, and economic indicators used by MCC as country selection criteria.

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

To provide a global data set of point locations and attributes describing nuclear power plants and reactors.

To provide estimates of total, urban and rural populations and land areas in proximity to nuclear power plants.