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This project consists of codes to extract gridded total N surplus (both agricultural and non-agricultural soils) dataset at multiple sub-country level (i.e. NUTS 1, NUTS 2) and to derive mean and standard deviations of 16 N surplus estimates from 1850-2019 across Europe.
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My guide to using OGS. It contains some overview and tips.
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Find the short project version in my gitlab repository!
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Python scripts that create different plot comparing results of OGS simulations
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Samuel Fischer / KDE-Likelihood
GNU General Public License v3.0 or laterContains a python package to compute kernel-density-estimated likelihood
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Bahar Bahrami / PCM v1.0
OtherThis repository contains R codes for the open-source distribution of PCM.
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Johannes Hoefner / rootstock
Creative Commons Attribution 4.0 InternationalClone me to create your Manubot manuscript
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