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 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 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 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 information on anthropogenic transformation of the biosphere circa 1700 for global land use studies and research on human-environment interactions.

To provide information on global land use for research on human-environment interactions.

To provide information on anthropogenic transformation of the biosphere circa 1900 for global land use studies and research on human-environment interactions.

To provide information on anthropogenic transformation of the biosphere circa 1800 for global land use studies and research on human-environment interactions.

To provide information on anthropogenic transformation of the biosphere circa 2000 for global land use studies and research on human-environment interactions.

To provide a gridded version of existing SeaWiFS data in GIS-compatible formats in order to determine concentrations of chlorophyll-a in the coastal water column and to facilitate the integration with other data.

To provide tabular data on the trends of chlorophyll-a concentration on a pixel by pixel basis for identifying areas with improving, declining, and stable coastal water quality that can provide guidance for decision making in the context of coastal management.

To provide data that can assist in the extraction and analysis of chlorophyll-a concentration and trends from global grids.

To visualize changes in brightness and extent of global nighttime lights networks over two decades with improved radiometric accuracy and finer spatial resolution.

To serve a wide user community by providing composite Landsat images and raw data for urban areas that can be used in interdisciplinary studies of remote sensing and the environment.

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

To provide data on changes in freshwater availability in order to better understand impacts on regional food supplies, human and ecosystem health, energy generation, and social unrest.