Instructions and details on the data analysis workflow.
Institutions: University of Stuttgarthttps://orcid.org/0000-0001-9119-1778
Well rounded biologist/biotechnologist/biochemist/enzymologist/bioinformatician/computational biologist.
This is a collection of deep eutectic solvent (DES) experimental and simulation data that is stored in CML format and analysed using gradient boosting decision trees.
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A meta-analysis of the impact of water content and temperature on the viscosities of four deep eutectic solvents (glyceline, reline, DEAG, DEACG), their components (choline chloride, urea, glycerol, ethylene glycol), methanol, and pure water was performed. We analyzed the viscosity data by an automated workflow, using Arrhenius and Vogel–Fulcher–Tammann-Hesse models.