This repository contains the data-set and the analysis notebooks discussed in the first submission of the  manuscript.
The repository is created in June 2020 by Francesco Borsoi.
Each folder in this repo contains sub-folders (i.e., Analysis, Data and Images).
Each Analysis folder contains a jupyter notebook with the name of the correspondent figure and, in most of the cases, the file 'analysis.py' that contains additional functions that are used in the jupyter notebook, and the file 'style.py' that contains plotting parameters (i.e., figure resolution, linewidths, fontsizes etc.)

Relevant packages of the notebooks (that are included in Anaconda 4.8.2) are:
python 3.7.6
matplotlib 3.1.3
numpy 1.18.1
pandas 1.0.1
scipy 1.4.1
qcodes 0.14.0 

To install the package qcodes, I suggest to use this simple sequence of the commands in the terminal:
'conda create -n env_qcodes anaconda'   # this create a new environment
'conda activate env_qcodes'             # this opens the new environment  
'pip install qcodes'                    # this installs the package from https://github.com/QCoDeS/Qcodes
'pip install xarray'                    # this installs the useful package xarray 

At the beginning of the jupyter notebooks rendering the data, in the section 'Choosing user', future users should:
-modify the variables directory paths 'folder_analysis' and 'folder_style' to match the path of the files 'analysis.py' and 'style.py';
-modify the directory path of the data files;
-modify the directory in which the figures are saved (variable 'path').

The data files contains several columns. 
The relevant columns (for instance the one that contains the conductance, the magnetic fields, the bias voltages etc.) are explained in the jupyter notebooks when the data are imported. 
The notebooks are, in fact, divided into sections that are described by their titles or by additional text.

