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