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Unfinished data of any kind. Note: there is no version control and data is still volatile.
Scenario data in the broadest sense. Includes input and output data from models that project scenarios into the future. Example inputs: assumptions made about future developments of key parameters such as energy prices and GDP. Example outputs: projected electricity transmission, projected greenhouse gas emissions. Note that inputs to one model could be an output of another model and the other way around.
Data that depicts boundaries, such as geographic, administrative or political boundaries. Such data comes as polygons.
Data related to climate and weather. This includes, for example, precipitation, temperature, cloud cover and atmospheric conditions.
Data on demand. Demand can relate to commodities but also to services.
Data related to economic activities. Examples: sectoral value added, sectoral inputs and outputs, GDP, prices of commodities etc.
Data on emissions. Examples: total greenhouse gas emissions, CO2-emissions, energy-related CO2-emissions, methane emissions, air pollutants etc.