Dataset and machine learning-based computer-aided tools for modeling working sorption isotherms in dried parchment and green coffee beansMendeley Data

This work presents a comprehensive dataset on working sorption isotherms and mid-infrared spectra for parchment husk, parchment coffee, and green coffee beans (Coffea arabica L.). The working sorption isotherms were experimentally determined using the Dynamic Dewpoint Isotherm (DDI) method, covering...

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Detalhes bibliográficos

Principais autores:	Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-08-01
coleção:	Data in Brief
Assuntos:	Hygroscopicity Water sorption process Supervised machine learning modeling Chemometric-based modeling Artificial intelligence Storage optimization
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2352340925004652
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