Published August 22, 2025
| Version v1.0
Dataset
Open
Large Data Files for Schochet & Planet et al. "200,000+ Deep Learning Inferred Periods of Stellar Variability from The All-Sky Automated Survey for Supernovae"
Authors/Creators
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1.
University of Florida
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2.
Michigan State University
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3.
Space Telescope Science Institute
Description
This Zenodo holds the data files for Schochet et al. "200,000+ Deep Learning Inferred Periods of Stellar Variability from The All-Sky Automated Survey for Supernovae"
Inside this repository are a host of files that were mostly too large to put onto GitHub (the project's GitHub may be accessed at https://github.com/m-schochet/asas-sn-cnn). Please reference the README to understand the datamodels (and please contact the authors if there are any problems).
Files
README.txt
Files
(10.9 GB)
| Name | Size | Download all |
|---|---|---|
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md5:d71a2ee6029b3e284c8476139c41afdf
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6.3 GB | Download |
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md5:9aa6697305d3e8e53ab055230113d4eb
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4.4 GB | Preview Download |
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md5:2dced82163bab41861ddc98a20a3a6c4
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64.3 MB | Preview Download |
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md5:83415d1686520c34e31a223e7f1df21b
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4.4 kB | Preview Download |
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md5:0f2acc27f9d2d1cb8e526984c786bc25
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68.4 MB | Preview Download |
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md5:8e927dad27d805adebd55ec867a1c8b8
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25.5 MB | Preview Download |
Additional details
Related works
- Is documented by
- Other: https://github.com/m-schochet/asas-sn-cnn (URL)
Software
- Repository URL
- https://github.com/m-schochet/asas-sn-cnn/
- Programming language
- Python
- Development Status
- Concept