Datasets:
Update AAVSO VSX: 10,300,820 variable stars
Browse files- README.md +147 -0
- data/aavso_vsx_variable_stars.parquet +3 -0
README.md
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| 1 |
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---
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license: cc-by-4.0
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pretty_name: "AAVSO Variable Star Index (VSX)"
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language:
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- en
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description: "AAVSO Variable Star Index (VSX) catalog with 10,300,820 variable stars including types, periods, magnitudes, and spectral classifications."
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task_categories:
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- tabular-classification
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- tabular-regression
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tags:
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- space
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- variable-stars
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- aavso
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- vsx
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- astronomy
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- open-data
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- tabular-data
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size_categories:
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- 1M<n<10M
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/aavso_vsx_variable_stars.parquet
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default: true
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---
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# AAVSO Variable Star Index (VSX)
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*Part of the [Astronomy Datasets](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743) collection on Hugging Face.*
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The AAVSO Variable Star Index (VSX) is the most comprehensive catalog of variable stars,
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containing **10,300,820** entries with variable star classifications, photometric properties,
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periods, and spectral types. VSX is maintained by the American Association of Variable Star
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Observers and is the standard reference for variable star research.
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## Dataset description
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VSX aggregates variable star data from hundreds of surveys and catalogs worldwide including
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OGLE, ASAS-SN, ZTF, Gaia, and AAVSO observer submissions. Each entry represents a unique
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variable or suspected variable star with its variability type, brightness range, period (if
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known), epoch, and spectral classification.
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Of the 10,300,820 entries, **4,830,314** have a measured period and
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**10,292,210** have a variability classification.
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## Key columns
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| Column | Type | Description |
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|--------|------|-------------|
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| `aavso_uid` | Int64 | AAVSO unique object identifier |
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| `name` | string | Primary designation |
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| `ra_deg` | float64 | Right ascension J2000 (degrees) |
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| `dec_deg` | float64 | Declination J2000 (degrees) |
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| `variable_type` | string | Variability type (e.g., EW, SR, RRAB, DSCT) |
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| `var_flag` | Int64 | Variability flag (0=confirmed, 1=suspected) |
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| `mag_max` | float64 | Maximum brightness (magnitude at max light) |
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| `mag_max_passband` | string | Passband for max magnitude |
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| `mag_min` | float64 | Minimum brightness / amplitude |
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| `mag_min_passband` | string | Passband for min magnitude |
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| `min_is_amplitude` | string | Y if mag_min is amplitude, not absolute magnitude |
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| `period_days` | float64 | Period in days |
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| `epoch_jd` | float64 | Epoch of maximum/minimum (Julian Date) |
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| `spectral_type` | string | Spectral classification |
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| `mag_range` | float64 | Derived magnitude range (mag_min - mag_max) |
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Full schema includes 22 columns with uncertainty flags and limit flags.
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## Top variability types
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| Type | Count |
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|------|-------|
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| `ROT` | 2,352,208 |
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| `E` | 1,987,833 |
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| `L` | 1,604,633 |
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| `RS` | 719,268 |
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| `DSCT|GDOR|SXPHE` | 717,928 |
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| `S` | 493,290 |
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| `EW` | 397,843 |
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| `SR` | 323,058 |
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| `VAR` | 310,300 |
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| `RRAB` | 189,791 |
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## Quick stats
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- **10,300,820** variable star entries
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- **4,830,314** with measured period (46.9%)
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- **10,292,210** with variability classification (99.9%)
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- RA range: 0.0001 to 360.0000 degrees
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- Dec range: -89.9288 to 89.9038 degrees
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("juliensimon/aavso-vsx-variable-stars", split="train")
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df = ds.to_pandas()
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# Eclipsing binaries with known periods
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eclipsing = df[df["variable_type"].str.startswith("E", na=False) & df["period_days"].notna()]
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print(f"Eclipsing binaries with periods: {len(eclipsing):,}")
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# Period-amplitude diagram for RR Lyrae
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rrab = df[df["variable_type"] == "RRAB"]
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import matplotlib.pyplot as plt
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plt.scatter(rrab["period_days"], rrab["mag_range"], s=0.5, alpha=0.3)
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plt.xlabel("Period (days)")
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plt.ylabel("Amplitude (mag)")
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plt.title("RR Lyrae (RRAB) Period-Amplitude Diagram")
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plt.show()
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# Sky distribution
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plt.hexbin(df["ra_deg"], df["dec_deg"], gridsize=200, mincnt=1)
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plt.colorbar(label="Star count")
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plt.xlabel("RA (deg)")
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plt.ylabel("Dec (deg)")
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plt.title("VSX Variable Stars Sky Density")
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plt.show()
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```
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## Data source
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Watson, C.L., Henden, A.A., & Price, A. (2006), *The International Variable Star Index (VSX).*
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Society for Astronomical Sciences 25th Annual Symposium on Telescope Science, p. 47.
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Maintained by AAVSO: [https://www.aavso.org/vsx/](https://www.aavso.org/vsx/)
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## Pipeline
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Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
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## Citation
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```bibtex
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@dataset{aavso_vsx_variable_stars,
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author = {Simon, Julien},
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title = {AAVSO Variable Star Index (VSX)},
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year = {2026},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/juliensimon/aavso-vsx-variable-stars},
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note = {Based on AAVSO VSX (Watson et al. 2006)}
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}
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```
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## License
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[CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
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data/aavso_vsx_variable_stars.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1d7b467a6cb06c7ddba75d19624d4b3b0dac6d835db4260e38f92f50fe0af8e
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size 336321547
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