To provide a U.S. county-level multi-hazard climate risk projection for 2040-2049 for climate, socioeconomic, environmental, and other related research.

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 a literature database tracking the use of the sub-global scenarios consisting of Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs) that extend the global SSP narratives and framework for climate, socioeconomic, environmental, and other related research.

To provide a 1 km grid of the CDC Social Vulnerability Index (SVI) aligned with CIESIN's Gridded Population of the World, Version 4, Revision 11 (GPWv4.11) with a mask for water and no population.

To assess country-level vulnerability and coping capacity related to climate change based on the data set used in Chapter 8 of the Sixth Assessment Report (AR6) by the Intergovernmental Panel on Climate Change (IPCC) Working Group II (WGII).

To provide a global gridded relative deprivation index characterizing the levels of multidimensional deprivation in each pixel at ~1 km resolution.

To provide the subnational location for different types of natural disasters recorded in EM-DAT between 1960-2018.

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

To provide a literature database tracking the use of a global scenarios framework consisting of Shared Socioeconomic Pathways (SSPs), Representative Concentration Pathways (RCPs), and Shared Policy Assumptions (SPAs), for climate, socioeconomic, environmental, and other related research.

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 provide gridded data that identify the level of intensity and frequency of food insecurity over the 10 years between 2009 and 2019, as well as hotspot areas that have experienced consecutive food insecurity events, based on FEWS NET Food Security Data.

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 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 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 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.