BPASS Stellar Models in DataFrames
<p>This data set is made of 26 binary files (.pckl) that contain pandas DataFrames compiling all the BPASS stellar models for the fiducial IMF (img135_300 - see BPASS manual for more info or contact hfstevance@gmail or @sydonahi on Twitter).</p> <p>If you end up using this data set please also cite hoki - which was used to create these data.</p> <p>The BibTex is as follows.</p> <pre>@ARTICLE{2020JOSS....5.1987S, author = {{Stevance}, Heloise and {Eldridge}, J. and {Stanway}, Elizabeth}, title = "{Hoki: Making BPASS accessible through Python}", journal = {The Journal of Open Source Software}, keywords = {Python, galaxies, Batchfile, SED, astronomy, binary stars, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics}, year = "2020", month = "Jan", volume = {5}, number = {45}, eid = {1987}, pages = {1987}, doi = {10.21105/joss.01987}, archivePrefix = {arXiv}, eprint = {2001.11069}, primaryClass = {astro-ph.SR}, adsurl = {https://ui.adsabs.harvard.edu/abs/2020JOSS....5.1987S}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }</pre> <p> </p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4