To provide tabular data to researchers without GIS capabilities who need data on population and land area by country across a range of physical characteristics. These include measures such as the number of persons living within coastal zones, the total area within a specific elevation strata, or the number of persons living within different climate zones.

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 data set that allows users to understand how slow-onset climate change impacts on water availability and crop productivity, coupled with sea-level rise and storm surge, may affect the future population distribution and climate-related internal migration in low to middle income countries.

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

To provide quantitative metrics for evaluating a country's environmental performance in different policy categories relative to clearly defined targets.

To provide a unique crop yield data set that spans the twentieth century for many of the world's major bread baskets.

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 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 provide estimates of urban and rural populations and land areas for the years 1990, 2000, 2015 for 234 countries and statistical areas with contiguous coastal elevations of less than or equal to 5m above sea level, 5-10m above sea level, and national totals using multiple updated data sources for comparative analysis.

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 quantitative metrics for evaluating a country's environmental performance in different policy categories relative to clearly defined targets.

To provide satellite altimeter corrected digital elevation data for environmental, socioeconomic, climate and other related research, such as flood risk assessment, land deformations, landslide modelling, urban planning, and sea level rise impacts.

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 roads linking rural production to urban markets in the coastal zone of West Africa that represent an important exposed infrastructure asset.

To provide areas of higher richness of threatened species which may be at risk from climate stressors in the coastal zone of West Africa.

To provide high and low resolution elevation in forested ecosystems in the coastal zone of West Africa.

To provide a measure of social vulnerability and "defenselessness" in the face of climate stressors in the coastal zone of West Africa.