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 high spatial resolution subnational estimates of unsatisfied basic needs for use by a wide community for interdisciplinary studies of poverty, inequality and the environment.

To provide high spatial resolution subnational estimates of poverty and inequality for use by a wide user community for interdisciplinary studies of poverty, inequality and the environment.

To provide high spatial resolution subnational estimates of poverty and food security for use by a wide community for interdisciplinary studies of poverty, food security and the environment.

To provide a global subnational map of the prevalence of underweight children that can be used by a wide user community in interdisciplinary studies of health, poverty and the environment.

To provide a global subnational map of infant mortality rate estimates that can be used by a wide user community in interdisciplinary studies of health, poverty and the environment.

To preserve access to the original population data used by the Millennium Ecosystem Assessment (MA) and other related research.

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 documentation on roads data sets that are potential candidates for inclusion in the Global Roads Open Access Data Set (gROADS), and which may be useful to others searching for data on road infrastructure.

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

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

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

To provide gridded GDP data on country-level downscaled projections based on the SRES B2 marker scenario.

To provide data on country-level GDP per capita and downscaled projections based on the SRES A1, A2, B1, B2 marker scenarios.