Z 376-1 , the SIMBAD biblio

Z 376-1 , the SIMBAD biblio (31 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST02:04:08

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Bibcode/DOI Score in Title|Abstract|
Keywords 		in a table in teXt, Caption, ... Nb occurence Nb objects in ref Citations
(from ADS) 		Title First 3 Authors
1999A&AS..140...89P viz 14       D               1 16703 9 Galaxy coordinates. II. Accurate equatorial coordinates for 17298 galaxies. PATUREL G., PETIT C., PRUGNIEL P., et al.
1999ApJS..121..287H viz 14       D               1 4291 204 The CfA redshift survey: data for the South Galactic Cap. HUCHRA J.P., VOGELEY M.S. and GELLER M.J.
1999PASP..111..438F viz 14       D               1 19407 418 The updated Zwicky catalog (UZC). FALCO E.E., KURTZ M.J., GELLER M.J., et al.
2003A&A...412...45P viz 15       D               1 956189 750 HYPERLEDA. I. Identification and designation of galaxies. PATUREL G., PETIT C., PRUGNIEL P., et al.
2005ApJS..160..149S viz 15       D               9542 372 A digital archive of H I 21 centimeter line spectra of optically targeted galaxies. SPRINGOB C.M., HAYNES M.P., GIOVANELLI R., et al.
2009AJ....138.1938C viz 15       D               1 13325 92 The Extragalactic Distance Database: All Digital H I profile catalog. COURTOIS H.M., TULLY R.B., FISHER J.R., et al.
2010ApJS..186..427N viz 15       D               1 14033 346 A catalog of detailed visual morphological classifications for 14,034 galaxies in the Sloan Digital Sky Survey. NAIR P.B. and ABRAHAM R.G.
2010MNRAS.406..382K viz 15       D               1 904 35 Peculiar early-type galaxies in the Sloan Digital Sky Survey Stripe82. KAVIRAJ S.
2012MNRAS.425.2741H viz 15       D               1 3042 41 An investigation of Sloan digital sky survey imaging data and multiband scaling relations of spiral galaxies. HALL M., COURTEAU S., DUTTON A.A., et al.
2013AJ....146...86T viz 15       D               1 9233 484 Cosmicflows-2: the data. TULLY R.B., COURTOIS H.M., DOLPHIN A.E., et al.
2014ApJ...788...45T viz 15       D               1 224166 54 Luminosity and redshift dependence of the covering factor of active galactic nuclei viewed with WISE and Sloan Digital Sky Survey. TOBA Y., OYABU S., MATSUHARA H., et al.
2015MNRAS.447.1531C viz 16       D               1 13578 26 Update on HI data collection from Green Bank, Parkes and Arecibo telescopes for the Cosmic Flows project. COURTOIS H.M. and TULLY R.B.
2016A&A...588A..14T viz 16       D               1 84079 35 Friends-of-friends galaxy group finder with membership refinement. TEMPEL E., KIPPER R., TAMM A., et al.
2016AJ....152...50T viz 16       D               1 20396 318 Cosmicflows-3. TULLY R.B., COURTOIS H.M. and SORCE J.G.
2017A&A...599A.104T viz 16       D               1 832 ~ Kinematics of the Local Universe. XIV. Measurements from the 21 cm line and the HI mass function from a homogeneous catalog gathered with the Nancay radio telescope. THEUREAU G., COUDREAU N., HALLET N., et al.
2017AJ....154...86W viz 16       D               2 4614 272 The SDSS-IV MaNGA sample: design, optimization, and usage considerations. WAKE D.A., BUNDY K., DIAMOND-STANIC A.M., et al.
2019MNRAS.483.2057F viz 16       D               1 4600 64 SDSS-IV MaNGA PyMorph Photometric and Deep Learning Morphological Catalogues and implications for bulge properties and stellar angular momentum. FISCHER J.-L., DOMINGUEZ SANCHEZ H. and BERNARDI M.
2019ApJ...882....9S viz 16       D               1 735 32 Characterizing the local relation between star formation rate and gas-phase metallicity in MaNGA spiral galaxies. SANCHEZ-MENGUIANO L., SANCHEZ ALMEIDA J., MUNOZ-TUNON C., et al.
2019ApJS..244....3D viz 16       D               1 23803 ~ Circumventing the effects of projection and dust using inclination-independent infrared galaxy structure measurements: method, error analysis, and a new public catalog of near-infrared galaxy structures. DEVOUR B.M. and BELL E.F.
2019MNRAS.487.5572M viz 16       D               1 4573 ~ Connecting galaxy structure and star formation: the role of environment in formation of S0 galaxies. MISHRA P.K., WADADEKAR Y. and BARWAY S.
2020ApJ...894...57S viz 16       D               1 388 ~ Environmental influences on star formation in low-mass galaxies observed by the SDSS-IV/MaNGA Survey. SUN J., BARGER K.A., FRINCHABOY P.M., et al.
2020ApJ...902..145K viz 16       D               1 10723 45 Cosmicflows-4: the catalog of ∼10,000 Tully-Fisher distances. KOURKCHI E., TULLY R.B., EFTEKHARZADEH S., et al.
2020ApJ...903...52S viz 16       D               1 666 ~ Local and global gas metallicity versus stellar age relation in MaNGA galaxies. SANCHEZ-MENGUIANO L., SANCHEZ ALMEIDA J., MUNOZ-TUNON C., et al.
2022MNRAS.509.3966W viz 17       D               1 89291 61 Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies. WALMSLEY M., LINTOTT C., GERON T., et al.
2022MNRAS.511.6160K viz 17       D               1 10144 10 Cosmicflows-4: the baryonic Tully-Fisher relation providing ∼10 000 distances. KOURKCHI E., TULLY R.B., COURTOIS H.M., et al.
2022MNRAS.513..389R viz 17       D               1 1816 8 Star-forming S0 Galaxies in SDSS-MaNGA: fading spirals or rejuvenated S0s? RATHORE H., KUMAR K., MISHRA P.K., et al.
2022ApJS..262...36S viz 17       D               1 10075 23 SDSS-IV MaNGA: pyPipe3D Analysis Release for 10,000 Galaxies. SANCHEZ S.F., BARRERA-BALLESTEROS J.K., LACERDA E., et al.
2023A&A...674A..85A viz 17       D               1 6495 2 Classifying the full SDSS-IV MaNGA Survey using optical diagnostic diagrams: Presentation of AGN catalogs in flexible apertures. ALBAN M. and WYLEZALEK D.
2023ApJS..269....3M viz 17       D               1 356397 ~ Siena Galaxy Atlas 2020. MOUSTAKAS J., LANG D., DEY A., et al.
2024MNRAS.527.7438R viz 18       D               1 4215 ~ The Tully-Fisher relation from SDSS-MaNGA: physical causes of scatter and variation at different radii. RISTEA A., CORTESE L., FRASER-MCKELVIE A., et al.
2024NatAs...8.1310A viz 18       D               1 10075 ~ Constraints on the in situ and ex situ stellar masses in nearby galaxies obtained with artificial intelligence. ANGELOUDI E., FALCON-BARROSO J., HUERTAS-COMPANY M., et al.

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