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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).
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Created: 23rd Aug 2019 at 11:19
Last updated: 16th Jun 2020 at 09:51
Last used: 23rd Feb 2021 at 11:20

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Well rounded biologist/biotechnologist/biochemist/enzymologist/bioinformatician/computational biologist.
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This is a collection of data involving choline chloride:glycerol:water mixtures stored in CML.
Person responsible: Gudrun Gygli
Snapshots: Snapshot 1, Snapshot 2, Snapshot 3, Snapshot 4
Investigation: Deep Eutectic Solvents
Assays: CML processing and analysis
This is a collection of data that have been used to analyse data on deep eutectic solvent mixtures of choline chloride:glycerol:water.
Investigation: Deep Eutectic Solvents
Study: Choline chloride:glycerol:water mixtures in CML
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: CML files, CSV data, Python scripts for CML
Abstract
Authors: Xinmeng Xu, Jan Range, Gudrun Gygli, Jürgen Pleiss
Date Published: 12th Mar 2020
Publication Type: Journal
Citation: J. Chem. Eng. Data 65(3):1172-1179