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A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
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This project contains code to aggregate raw outputs from LPJmL crop yield forecasts and/or historical yield simulations into indicators that are more readily usable.
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This project contains code to ingest LPJmL crop yield forecasts and historical yield simulations into the World Modelers "Dojo" system.
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AMOC time series for IPCC AR6
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A script to generate a list of code developments for the REMIND meeting from git log
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MAgPIE data preprocessing scripts
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A script to generate a list of code developments for the REMIND meeting from git log
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Source data and calculation of product specifications and attributes. Especially from crops and livestock as well as secondary products.
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