Figure A1.docx (1.04 MB)
Chemdataextractor software for Magnetic Materials
This document contains screenshots of the Jupyter notebook used during the Chemdataextractor part of the project. The screenshots provide the python code used within Chemdataextractor to find compositions and magnetic properties from a selection of magnetic papers. This code was used as part of the "Feasibility study to assess Natural Language Processing for Functional Magnetic Materials" project funded by Royce Materials 4.0
History
Ethics
- There is no personal data or any that requires ethical approval
Policy
- The data complies with the institution and funders' policies on access and sharing
Sharing and access restrictions
- The data can be shared openly
Data description
- The file formats are open or commonly used
Methodology, headings and units
- Headings and units are explained in the files
