To provide a high-resolution, longitudinal global data set of annual extreme humid-heat.

To provide global estimates of the surface urban heat island intensity from monthly, seasonal, to annual scales for over 10,000 urban clusters developed using a simplified urban-extent algorithm.

To provide an annual global surface of concentrations (micrograms per cubic meter) of all composition ground-level fine particulate matter of 2.5 micrometers or smaller (PM2.5) for large-scale health and environmental research.

To provide a framework of public-health-focused air quality indicators that quantifies country trends in exposure to major air pollutants.

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) in countries and urban areas for large-scale health and environmental research

To provide a high-resolution, longitudinal global data set of extreme urban heat events and urban heat exposure.

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 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.

To provide data that can be used to calculate trace gas and aerosol emissions, due to fires; monitor and assess national efforts to manage emissions.

To provide data that can be used to calculate trace gas and aerosol emissions due to fires; monitor and assess national efforts to manage emissions.

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