Uncovering the Transition between Hydrothermal Carbonization and Liquefaction using differential scanning calorimetry
Data and code relative to "Uncovering the Transition between Hydrothermal Carbonization and Liquefaction using differential scanning calorimetry". Authors: Matteo Pecchi, Alessandro Cascioli, Alex R. Maag, Jillian L. Goldfarb, Marco Baratieri. Dataset is not public yet.
Steps to reproduce
The script is OS independent, so it should run on Windows, MacOS, Linux. Requirements to run the DSC script - Python 3.8.8 - Packages that can be installed using conda: numpy, pandas, matplotlib, seaborn, pathlib, scipy, copy - Packages that have to be installed using pip: lmfit - Download and unzip the folder. Run the .py script The raw data for the different experimental DSC runs are located in the input folder that is already present in the .zip folder. The DSC.py code performs all the computations required by the baseline subtraction method and plots the figures used in the manuscript and graphical abstract and returns a .csv report. Outputs are generated in the Output folder that is created by the script itself on its first run.