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