ID is the catalog’s integer identifier in the full AGN-DB catalog, as stored in the origin column and every <property>_origin array (catalogs ingested as multiple tables list all of their IDs, comma-separated). Reference is the catalog’s citation. Added in is the AGN-DB version in which that catalog/table was first ingested.
| ID | Directory | Reference | Added in |
|---|---|---|---|
| 0 | 2MRS | Zaw et al 2019 | 1.0 |
| 1 | 2QZ | Croom et al 2004 | 1.0 |
| 2 | 2SLAQ | Croom et al 2004 | 1.0 |
| 3 | 3FGL Fermi cleanups 2 | Paiano et al 2017, 2019 | 1.0 |
| 4 | belladitta19 | Belladitta et al 2019 | 1.0 |
| 5, 6, 7 | 3LAC | Ackermann et al 2015 | 1.0 |
| 8 | 4XMM_DR10 | Webb et al 2020 | 1.0 |
| 9 | AGNELA | Agnello et al 2018 | 1.0 |
| 10 | ALMA_decarli | Decarli et al 2018 | 1.0 |
| 11 | ATLAS | Mao et al 2012 | 1.0 |
| 12 | BAHM | Banerji et al 2015 | 1.0 |
| 13 | BASS | Koss et al 2017 | 1.0 |
| 14 | BAT-105M | Oh et al 2018 | 1.0 |
| 15, 16 | BGGFC | Boutsia et al 2018 | 1.0 |
| 17 | C-COSM | Marchesi et al 2016 | 1.0 |
| 18 | CDFS7 | Luo et al 2017 | 1.0 |
| 19 | ChaMP | Trichas et al 2012 | 1.0 |
| 20 | DEEP | Newman et al 2013 | 1.0 |
| 21 | DR16Q | Lyke et al 2020 | 1.0 |
| 22, 23 | DUHIZ | Wang et al 2017 | 1.0 |
| 24, 25 | DUz6 | Wang et al 2019 | 1.0 |
| 26 | ELQS-N | Schindler et al 2018 | 1.0 |
| 27 | ELQS-S | Schindler et al 2019 | 1.0 |
| 28 | FISCBA | Fischer et al 1998 | 1.0 |
| 29 | 4FGL3 | Pena-Herazo et al 2022 | 1.0 |
| 30 | GL-DB | Lemon et al 2018 | 1.0 |
| 31 | GLIKMAN | Glikman et al 2018 | 1.0 |
| 32 | GaiaUnwise | Shu et al 2019 | 1.0 |
| 33, 34 | HELLAS2XMM | Cocchia et al 2007 | 1.0 |
| 35 | IANTEG | Masetti et al 2013 | 1.0 |
| 36 | IBIS | Malizia et al 2012, Krivonos et al 2012 | 1.0 |
| 37 | J1030 | Nanni et al 2020, Marchesi et al 2021 | 1.0 |
| 38 | IKEDA | Ikeda et al 2017 | 1.0 |
| 39 | belladitta20 | Belladitta et al 2020 | 1.0 |
| 40 | LSSA | Lucey et al 2018 | 1.0 |
| 41, 42 | MFJC | McGreer et al 2018 | 1.0 |
| 43 | MHH | Meusinger et al 2011 | 1.0 |
| 44 | MZZ | Marano et al 1988 | 1.0 |
| 45 | NBCKDE | Richards et al 2009 | 1.0 |
| 46 | NBCKv3 | Richards et al 2015 | 1.0 |
| 47 | OVRLAP | Jiang et al 2015 | 1.0 |
| 48 | OzDES | Tie et al 2017 | 1.0 |
| 49 | 4LAC | Ajello et al 2022 | 1.0 |
| 50 | PHILLI | Phillips et al 2000 | 1.0 |
| 51, 52 | PS1 | Banados et al 2016 | 1.0 |
| 53 | PS1MAZ | Mazzucchelli et al 2017 | 1.0 |
| 54 | QUBNIR | Cupani et al 2022 | 1.0 |
| 55 | PSO | Venemans et al 2015 | 1.0 |
| 56 | RLQ | Tuccillo et al 2015 | 1.0 |
| 57 | S82X | LaMassa et al 2016 | 1.0 |
| 58 | QUBRF | Guarneri et al 2022 | 1.0 |
| 59 | SDLENS | Williams et al 2018 | 1.0 |
| 60 | SDSSHI | Jiang et al 2016 | 1.0 |
| 61 | SIX | Bottaccini et al 2012 | 1.0 |
| 62, 63 | SPIDERS DR14 | Coffey et al 2019 | 1.0 |
| 64 | SPIN19 | Spiniello et al 2019 | 1.0 |
| 65, 66 | SQLS | Inada et al 2012 | 1.0 |
| 67, 68 | SUV | Yang et al 2017 | 1.0 |
| 69 | SXDF | Simpson et al 2012 | 1.0 |
| 70, 71 | SXDS | Akiyama et al 2015 | 1.0 |
| 72, 73 | UFS | Glikman et al 2013 | 1.0 |
| 74 | ULTRA | Wu et al 2015 | 1.0 |
| 75 | VAQL | Schechter et al 2017 | 1.0 |
| 76 | VDES2 | Reed et al 2019 | 1.0 |
| 77 | VIKING | Venemans et al 2015 | 1.0 |
| 78 | VIPERS | Scodeggio et al 2018 | 1.0 |
| 79 | VMC | Ivanov et al 2016 | 1.0 |
| 80 | WARSAW | Kostrzewa-Rutkowska et al 2018 | 1.0 |
| 81 | WISEA | Secrest et al 2015 | 1.0 |
| 82 | WOLF1 | Wolf et al 2018 | 1.0 |
| 83 | XLSS | Stalin et al 2010 | 1.0 |
| 84 | XMM-XXL | Liu et al 2016 | 1.0 |
| 85 | XMMSMC | Maitra et al 2019 | 1.0 |
| 86 | XMSS | Barcons et al 2007 | 1.0 |
| 87 | XWAS | Esquej et al 2013 | 1.0 |
| 88 | YQLF | Yang et al 2018 | 1.0 |
| 89, 90 | eHAQ | Krogager et al 2016 | 1.0 |
| 91 | AllBRICQS | Onken et al 2023 | 1.0 |
| 92 | z6.51 | Fan et al 2019 | 1.0 |
| 93 | Dart | Hviding et al 2018 | 1.0 |
| 94 | COMP2CAT | Jimenez-Gallardo et al 2019 | 1.0 |
| 95 | eFEDS | Liu et al 2022 | 1.0 |
| 96 | AT20G | Mahony et al 2011 | 1.0 |
| 97 | REDt | Temple et al 2019 | 1.0 |
| 98 | YSZ | Yuan et al 2016 | 1.0 |
| 99 | CSC2.0 | Evans et al 2024 | 1.0 |
| 100 | Quaia | Storey-Fisher et al 2024 | 1.0 |
| 101 | HETDEX_HDR4 | Liu et al 2025 | 1.0 |
| 102 | 4FGL_DR4 | Ballet et al 2023 | 1.0 |
| 103 | NLSy1_DR17 | Paliya et al 2024 | 1.0 |
| 104 | HETDEX_LOFAR | Davis et al 2024 | 1.0 |
| 105 | LoTSS_DR2 | Hardcastle et al 2023, 2025 | 1.0 |
| 106 | Swift_BAT_157 | Lien et al 2025 | 1.0 |
| 107 | BASS_DR2 | Koss et al 2022 | 1.0 |
| 108 | 6dFGS_AGN | Chen et al 2022 | 1.0 |
| 109 | CatGlobe | Fu et al 2024, 2025 | 1.0 |
| 110 | NuSTAR_NSS80 | Greenwell et al 2024 | 1.0 |
| 111 | SHELLQs | Matsuoka et al 2022, 2025 | 1.0 |
| 112 | Stripe82X_DR3 | LaMassa et al 2024 | 1.0 |
| 113 | Stripe82XL | Peca et al 2024 | 1.0 |
| 114 | SDSS_DR19Q | Almeida et al 2025 | 1.0 |
| 115 | LAMOST_DR10 | Lyu et al 2025 | 1.0 |
| 116 | DESI_DR1 | DESI Collaboration 2025 | 1.0 |
| 117 | eRASS1_merged | Merloni et al 2024, Salvato et al 2025 | 1.0 |