Datasets:
Update Veron AGN/quasar catalog: 168,940 sources
Browse files- README.md +157 -0
- banner.jpg +3 -0
- data/veron_agn_catalog.parquet +3 -0
README.md
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---
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license: cc-by-4.0
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pretty_name: "Veron-Cetty AGN/Quasar Catalog (13th edition)"
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language:
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- en
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description: "The Veron-Cetty & Veron Quasars and Active Nuclei catalog, 13th edition (VizieR VII/258) — the canonical reference compilation of 168,940 quasars and active galactic nuclei published through 2010, cov"
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task_categories:
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- tabular-classification
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tags:
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- space
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- astronomy
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- agn
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- quasars
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- active-galactic-nuclei
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- seyfert
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- blazars
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- bl-lac
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- vizier
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- open-data
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- tabular-data
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- parquet
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size_categories:
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- 100K<n<1M
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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/veron_agn_catalog.parquet
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default: true
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---
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# Veron-Cetty AGN/Quasar Catalog (13th edition)
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<div align="center">
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<img src="banner.jpg" alt="Artist concept of a supermassive black hole with a relativistic jet — AGN engine" width="400">
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<p><em>Credit: NASA/JPL-Caltech</em></p>
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</div>
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*Part of a [dataset collection](https://huggingface.co/collections/juliensimon/galaxies-and-cosmology-69c792b117242a3b236df55d) on Hugging Face.*
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## Dataset description
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The Veron-Cetty & Veron Quasars and Active Nuclei catalog, 13th edition (VizieR VII/258) — the canonical reference compilation of 168,940 quasars and active galactic nuclei published through 2010, covering optical/UV-selected quasars, X-ray-selected AGN, radio galaxies, and BL Lac objects.
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The catalog merges every published QSO and AGN identification with a homogeneous position, spectroscopic redshift, optical photometry, B-V and U-B colors, absolute magnitude, and (where available) radio fluxes at 6 cm and 20 cm. It remains the standard look-up source for cross-matching unidentified sources against the established AGN population, for selecting training/test samples by spectral subclass (Seyfert 1, Seyfert 2, LINER, BL Lac), and for population statistics in redshift, luminosity, and color spaces.
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Object class column conventions: 'Q' marks quasars (M_V <= -23, brighter than the historical QSO/AGN boundary), 'A' marks lower-luminosity AGN (M_V > -23), and 'B' marks BL Lac objects. The spectral classification column captures Seyfert sub-type and special spectral phenomena. Use this dataset alongside juliensimon/milliquas (the more recent Million Quasars Catalog that supersedes Veron for survey-era discoveries), juliensimon/gaia-dr3-qso-candidates (Gaia-selected QSOs), juliensimon/black-hole-catalog, juliensimon/4xmm-dr14-xray-sources, and juliensimon/icrf3-reference-frame for AGN cross-mission analysis.
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This dataset is suitable for **tabular classification** tasks.
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## Schema
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| Column | Type | Description | Sample | Null % |
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|--------|------|-------------|--------|--------|
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| `object_class` | str | Object classification: 'Q' = quasar (M_abs <= -23, brighter than -23), 'A' = AGN (M_abs > -23, fainter), 'B' = BL Lac object | Q | 0.0% |
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| `radio_flag` | str | Radio-detection flag: '*' = detected at radio frequencies, blank = not detected (or no radio coverage) | * | 11.3% |
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| `name` | str | Primary designation (catalog and survey ID), typically 'SDSS Jhhmm+ddmm', '4C+nn.nn', 'PG hhmm+ddd', etc. | SDSS J03003+0009 | 0.0% |
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| `position_origin` | str | Origin code for the J2000 coordinates: 'O' = optical position, 'R' = radio position, 'X' = X-ray, etc. | O | 2.5% |
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| `ra` | float64 | Right ascension (degrees, J2000) | 45.07541666666666 | 0.0% |
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| `dec` | float64 | Declination (degrees, J2000) | 0.1524999999999999 | 0.0% |
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| `flux_20cm_mjy` | float64 | Radio flux density at 20 cm (1.4 GHz) in mJy where detected | 0.0 | 89.2% |
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| `flux_20cm_reference` | float64 | Bibliographic reference code for the 20 cm flux measurement | 2068.0 | 64.6% |
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| `redshift` | float64 | Spectroscopic or photometric redshift z (dimensionless); range ~0 to ~7 in this compilation | 2.23 | 0.4% |
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| `spectral_classification` | str | Spectral subclass code: 'S1' = Seyfert 1, 'S2' = Seyfert 2, 'S1.5'/'S1.9' = intermediate types, 'NLAGN' = narrow-line AGN, 'HP' = high polarization, 'LINER' = LINER, blank = standard QSO | S2 | 82.7% |
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| `magnitude_band` | str | Photometric system letter for the magnitude: 'V' = Johnson V, 'B' = blue, 'R' = red, 'g' = SDSS g, etc. | * | 81.4% |
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| `apparent_magnitude` | float64 | Apparent magnitude in the band identified by magnitude_band; brighter sources have smaller values | 20.45 | 0.4% |
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| `color_bv` | float64 | Johnson B-V color index (mag); positive values indicate redder colors | 0.28 | 22.1% |
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| `color_ub` | float64 | Johnson U-B color index (mag); the 'UV excess' (negative U-B) is the historical AGN selection signature | -0.18 | 9.7% |
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| `absolute_magnitude` | float64 | Absolute V magnitude M_V (mag); the Q/A class boundary is M_V = -23. Computed assuming H_0 = 71, Omega_M = 0.27, Omega_lambda = 0.73 | -24.4 | 0.7% |
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| `finding_chart_reference` | float64 | Bibliographic reference code for a published finding chart of the source | 529.0 | 93.5% |
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| `magnitude_reference` | float64 | Bibliographic reference code for the magnitude measurement | 2068.0 | 9.1% |
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| `redshift_reference` | float64 | Bibliographic reference code for the redshift | 2068.0 | 0.0% |
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## Quick stats
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- **168,940** quasars + AGN + BL Lac objects in the canonical compilation
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- **133,335** quasars (M_V <= -23) + **34,231** lower-luminosity AGN + **1,374** BL Lac objects
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- **149,874** sources with detected radio counterparts (6cm or 20cm)
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- Redshift range: **0.00** to **6.43** (median 1.35)
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- Absolute magnitude (M_V): **-31.5** (most luminous) to **-7.8** (faintest)
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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/veron-agn-quasar-catalog", split="train")
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df = ds.to_pandas()
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```
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```python
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from datasets import load_dataset
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import matplotlib.pyplot as plt
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import numpy as np
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df = load_dataset("juliensimon/veron-agn-quasar-catalog", split="train").to_pandas()
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# Hubble diagram: absolute magnitude vs redshift, colored by class
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mask = df["redshift"].notna() & df["absolute_magnitude"].notna()
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fig, ax = plt.subplots(figsize=(10, 6))
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for cls, color in zip(["Q", "A", "B"], ["blue", "orange", "red"]):
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sub = df[mask & (df["object_class"] == cls)]
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ax.scatter(sub["redshift"], sub["absolute_magnitude"], s=2, alpha=0.3, color=color, label=cls)
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ax.axhline(-23, color="grey", linestyle="--", label="QSO/AGN boundary")
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ax.invert_yaxis() # brighter = up
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ax.set_xscale("log")
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ax.set_xlabel("Redshift z")
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ax.set_ylabel("Absolute V magnitude")
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ax.legend()
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plt.tight_layout()
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plt.show()
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# Seyfert sub-type breakdown
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print(df["spectral_classification"].value_counts().head(15))
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```
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## Data source
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https://cdsarc.cds.unistra.fr/viz-bin/cat/VII/258
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## Related datasets
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- [juliensimon/milliquas](https://huggingface.co/datasets/juliensimon/milliquas)
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- [juliensimon/gaia-dr3-qso-candidates](https://huggingface.co/datasets/juliensimon/gaia-dr3-qso-candidates)
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- [juliensimon/black-hole-catalog](https://huggingface.co/datasets/juliensimon/black-hole-catalog)
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- [juliensimon/4xmm-dr14-xray-sources](https://huggingface.co/datasets/juliensimon/4xmm-dr14-xray-sources)
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- [juliensimon/icrf3-reference-frame](https://huggingface.co/datasets/juliensimon/icrf3-reference-frame)
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- [juliensimon/roma-bzcat-blazars](https://huggingface.co/datasets/juliensimon/roma-bzcat-blazars)
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> If you find this dataset useful, please consider [giving it a like](https://huggingface.co/datasets/juliensimon/veron-agn-quasar-catalog) on Hugging Face. It helps others discover it.
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## About the author
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Created by [Julien Simon](https://julien.org) — AI Operating Partner at Fortino Capital. Part of the [Space Datasets](https://julien.org/datasets) collection.
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## Citation
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```bibtex
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@dataset{veron_agn_quasar_catalog,
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title = {Veron-Cetty AGN/Quasar Catalog (13th edition)},
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author = {juliensimon},
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year = {2026},
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url = {https://huggingface.co/datasets/juliensimon/veron-agn-quasar-catalog},
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publisher = {Hugging Face}
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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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banner.jpg
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Git LFS Details
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data/veron_agn_catalog.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:23035d3e4dff18c7255cd4de16c784c33959eb501b24c08aee3a75cb2c669262
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size 3965723
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