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We provide a global spatially explicit characterization of terrestrial and marine habitat types, as defined in the International Union for Conservation of Nature (IUCN) habitat classification scheme, which is widely used in ecological analyses, including for assessing species’ Area of Habitat. The maps broaden our understanding of habitats globally, assist in constructing area of habitat (AOH) refinements and are relevant for broad-scale ecological studies and future IUCN Red List assessments.

This application serves as an expansion of the Bayesian Reconstruction of Populations and Vital Rates by Educational Attainment (BayesEdu) project. Its objective is to integrate existing demographic data to generate accurate estimates of population sizes and vital rates categorized by educational attainment, while also considering associated uncertainties.

Update of the human core of the SSPs: Population and Human Capital Projections to 2100

A historical database of energy use by country or region, energy level, sector, energy carrier, and end-use type.

The Energy and Carbon Emissions Inventory Database (ECDB) compares major global inventories of primary energy use and carbon emissions.

The SD-ET analysis provides a novel methodological framework of using observed historical patterns of technological change to test the plausibility of future scenarios of technological change to meet climate change mitigation goals.

Spatial layers of global importance highlighting the upper potential value of conserving biodiversity, carbon and water assets under different area-based conservation targets.

A set of global zoning layers are provided that identify broad homologues of foodscape classes. These are comparable in a minimum set of biophysical and management characteristics and can help to plan for possible interventions and leverage points for more sustainable agriculture.

The Horizon 2020 project ENGAGE quantifies avoided climate change impacts through analysis of the exposure and associated costs for individual sectors and regions to climate change at different levels of and timing for global peak temperature. A particular focus is placed on quantifying the benefits (or trade-offs) of climate policies on biodiversity, food, poverty, water, air quality, health, and employment, particularly for vulnerable populations.

IIASA researchers teamed up with NGFS to publish an updated set of climate scenarios to assess future climate-related risks and influence sustainability goals.

This Scenario Explorer hosts the results from the Integrated Solutions for Water Energy and Land project (ISWEL).

A host of scientific chemistry and climate model experiments explore responses of the global atmosphere and climate systems to possible future changes in emissions of air pollutants and greenhouse gases. The Pollution Management research group (formerly AIR program) has used its GAINS model to develop a set of global emission fields of nine substances that provide consistent sets of future sectoral emissions for well-specified assumptions on economic development and the effectiveness of dedicated emission control policies.

This high-resolution electrification dataset for Sub-Saharan Africa is developed at the Energy Program of the International Institute for Applied Systems Analysis (IIASA) in cooperation with the Fondazione Eni Enrico Mattei (FEEM).

Stochastic Quasi-Gradient (SQG) methods have been developed for solving general optimization problems without exact calculation of objective function and constraints (let alone of their derivatives). SQG methods enable a sequential revision of approximate solutions towards the optimal using newly acquired information on the system, obtained via either direct on-line observations or(and) simulations. 

The Working Group on Fisheries-Induced Evolution (WGEVO) of the International Council for the Exploration of the Sea (ICES) has developed a general framework for investigating eco-evolutionary changes in fish stocks and their utilities in terms of ecosystem services and for assessing the management implications of fisheries-induced evolution through Evolutionary Impact Assessments (EvoIAs).

A system integration of ground and remote sensing data that parametrizes Russian territory at a 1km spatial resolution for forests and includes tree species, age, and biomass distribution.

Comprehensive downloadable data and analysis on the Russian forestry sector

Downloadable global forest map at a half-degree resolution

A global soil database, framed within a Geographic Information System, containing up-to-date information on world soil resources

A dataset for quantitative projections of the so-called Shared Socioeconomic Pathways (SSPs) and related Integrated Assessment scenarios.