Data and code supporting Thomas & Yelland 2023 "Terrestrial Effects of Nearby Supernovae: Updated Modeling"
<p>Data and code supporting publication Thomas & Yelland 2023 "Terrestrial Effects of Nearby Supernovae: Updated Modeling"</p> <p>Paper citation: Brian C. Thomas and Alexander M. Yelland 2023 ApJ 950 41<br> DOI: 10.3847/1538-4357/accf8a</p> <p>Contents of this repository:</p> <p>* Data files (in netCDF format) generated by GSFC 2D atmospheric chemistry-dynamics model, for cases described in referenced paper.</p> <p>* Code "SNCR_Flux_and_Ionization.m" used to calculate supernova cosmic ray proton flux and resulting terrestrial atmospheric ionization rates, for cases described in the referenced paper. Also includes necessary input data files.</p> <p>* Data files (SNCR_flux.zip and SNCR_ionization.zip) generated by "SNCR_Flux_and_Ionization.m" code, as presented, discussed, and used in referenced paper.</p> <p>* Code "SNCR_muon-flux.m" used to calculate terrestrial surface-level cosmic ray secondary muon flux in the cases described in referenced paper, as well as biological damage values due to that flux. Also includes necessary input data files.</p> <p>Code files were created and run in Octave, and should run on Matlab as well.</p> <p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0