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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 = &quot;{Hoki: Making BPASS accessible through Python}&quot;, 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 = &quot;2020&quot;, month = &quot;Jan&quot;, 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>&nbsp;</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