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The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) is a community-driven climate impact modeling initiative that aims to contribute to a quantitative and cross-sectoral synthesis of the various impacts of climate change, including associated uncertainties. It is designed as a continuous model intercomparison and improvement process for climate impact models and is supported by the international climate impact research community. ISIMIP is organized into simulation rounds, for which a simulation protocol specifies a set of common experiments. The protocol further describes a set of climate and direct human forcing data to be used as input data for all ISIMIP simulations. Based on this information, modelling groups from different sectors (e.g. agriculture, biomes, water) perform simulations using various climate impact models. After the simulations are performed, the data is collected by the ISIMIP data team, quality controlled and eventually published on the ISIMIP Repository. From there, it can be freely accessed for further research and analyses. The data is widely used within academia, but also by companies and civil society. ISIMIP was initiated by the Potsdam Institute for Climate Impact Research (PIK) and the International Institute for Applied Systems Analysis (IIASA).
Ag Data Commons provides access to a wide variety of open data relevant to agricultural research. We are a centralized repository for data already on the web, as well as for new data being published for the first time. While compliance with the U.S. Federal public access and open data directives is important, we aim to surpass them. Our goal is to foster innovative data re-use, integration, and visualization to support bigger, better science and policy.