This is a collection of data involving choline chloride:glycerol:water mixtures stored in CML.
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.
Snapshots: No snapshots
This is a collection of data that have been used to analyse data on deep eutectic solvent mixtures of choline chloride:glycerol:water.
A collection of python scripts used to generate CML from csv (CSV_to_CML.py), apply machine learning (Gradient Boosting using decision trees, prediction_viscosity.py), model based on eq 6 in the associated publication, and to plot the generated data (plot*.py).
Contains CML dictionaries created to store deep eutectic solvent data with CML.
Contains CML created for experimental, simulation and predicted data. Predictions were made based on experimental data using a gradient boosting decision tree.
Contains exp.csv, a collection of experimental data of CholineChloride:Glycerol:Water mixtures.
Contains sim.csv, a collection of molecular dynamics simulation data of CholineChloride:Glycerol:Water mixtures.
Contains Modelling_exp_Figure3.csv, a collection of modelled Eeta (energy activation of viscous flow), lnEta0 (viscosity at infinite temperature) values of CholineChloride:Glycerol:Water mixtures, based on experimental data, see the associated publication for details.