Partitioning soil organic carbon into its centennially stable and active fractions with machine-learning models based on Rock-Eval® thermal analysis (PARTY <sub>SOC</sub> v2.0 and PARTY <sub>SOC</sub> v2.0 <sub>EU</sub> )
Lauric Cécillon(Centre National de la Recherche Scientifique), Pierre Barré(Centre National de la Recherche Scientifique), Florence Savignac(Centre National de la Recherche Scientifique), Sabine Houot(ParisTech), Uwe Franko(Helmholtz Centre for Environmental Research), Ines Merbach(Helmholtz Centre for Environmental Research), Laure Soucémarianadin(Acta les instituts techniques agricoles), Folkert van Oort(AgroParisTech), Bent T. Christensen(Aarhus University), Christopher Poeplau(Johann Heinrich von Thünen-Institut), Thomas Kätterer(Swedish University of Agricultural Sciences), François Baudin(Inserm), Eva Kanari(Centre National de la Recherche Scientifique), Claire Chenu(Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement), Juan Carlos Quezada(École Nationale de l’Aviation Civile)
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