This repository contains original data and analysis code for "Name of paper".
The publication (open access) is available Link and you can directly access the PDF file Link.
data_analysis contains the different python programs and excel files used for data analysis. Note that these programs use various files from experimental_Data, hence these directory must be present to run most of the python scripts.
documents contains the paper and the supporting information.
experimental_data contains various experimental data, both from pre tests as well as for the reproducibility tests and screening of reaction conditions.
figures contains figures that appear in either the manuscript or supporting information
labjournal_entries contains the electronic labjournal entries of all relevant experiments, as well as the device entries as .pdf files
Subdirectories contain separate README.md files which detail their contents.
We actively encourage others to work on this interesting new avenue in automatization, are happy to answer questions or comments and are open to cooperations in this field.
Python code (Python >3.7) requires the following libraries: numba, numpy, scipy, matplotlib, pandas, pathlib, csv and pymcr.
Copyright (c) Michael Ringleb, Alexander Eith, Kevin Maik Jablonka, Jacob Schneidewind
All software is licensed under a MIT license (see LICENSE file).
Shield:
All other files and their contents are licensed under a
Creative Commons Attribution 4.0 International License. (see LICENSE-CC-BY)
