A The Turing Way inspired project to enable reproducibility in data science.
This repository is for the collaboration between the Equadratures team and the British Antarctic Survey' Atmosphere, Ice and Climate and Artificial Intelligence teams.
The goal is to improve the analytical processing that calculates Ozone values from the raw data of the manual and automated Dobson Spectrophotometers running at the Halley Research Station.
- Add a README file
- Add a CONTRIBUTING file
- Add a LICENSE
- Add a Code of Conduct
- Install all-contributors bot
- .gitignore file (choose from a template)
- Issue templates
- Create a directory with files for project management (meetings, report, proposals)
- Create a directory with files for communications
- Create a directory for research analysis
- Create a directory for research data/results
- Create a directory for ethics approval and project policies
- Create a directory with files for stakeholders info and nature of engagement
- Connect repo with Zenodo
- Add cff file for citation
- Add badges
For any organisation related queries or concerns, you can directly reach out to [email protected].
This work is licensed under the MIT license (code) and Creative Commons Attribution 4.0 International license (for documentation), though any sample ozone data may be OGL (Open Government Licensed). You are free to share and adapt the material for any purpose, even commercially, as long as you provide attribution (give appropriate credit, provide a link to the license, and indicate if changes were made) in any reasonable manner, but not in any way that suggests the licensor endorses you or your use, and with no additional restrictions.
Thanks goes to these wonderful people (emoji key):
 Jim 🤔 |
 Peter Yatsyshin 🤔 |
 Bryn N. Ubald 🤔 |
 Pranay Seshadri 🤔 |
This project follows the all-contributors specification. Contributions of any kind welcome!