Z 181-20 , the SIMBAD biblio

Z 181-20 , the SIMBAD biblio (22 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST05:46:53

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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
1990ApJS...74....1Z 372 296 The kinematics of Abell clusters. ZABLUDOFF A.I., HUCHRA J.P. and GELLER M.J.
1997AJ....113.1197H viz 1085 57 21 cm H I line spectra of galaxies in nearby clusters. HAYNES M.P., GIOVANELLI R., HERTER T., et al.
1999ApJ...518...69M viz 891 70 The dynamics of poor systems of galaxies. MAHDAVI A., GELLER M.J., BOHRINGER H., 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.
2004ApJ...607..202M viz 15       D               2458 39 A redshift survey of nearby galaxy groups: the shape of the mass density profile. MAHDAVI A. and GELLER M.J.
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.
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.
2011MNRAS.416.2840L viz 15       D               1 72558 178 The 2M++ galaxy redshift catalogue. LAVAUX G. and HUDSON M.J.
2012ApJS..199...22H viz 15       D               4 5021 8 UV to Far-IR catalog of a galaxy sample in nearby clusters: spectral energy distributions and environmental trends. HERNANDEZ-FERNANDEZ J.D., IGLESIAS-PARAMO J. and VILCHEZ J.M.
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.
2015ApJ...812...89M viz 16       D               1 12670 7 ECO and RESOLVE: galaxy disk growth in environmental context. MOFFETT A.J., KANNAPPAN S.J., BERLIND A.A., et al.
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.
2017A&A...599A..71D viz 16       D               1 209271 41 Aperture-free star formation rate of SDSS star-forming galaxies. DUARTE PUERTAS S., VILCHEZ J.M., IGLESIAS-PARAMO J., et al.
2017ApJ...849...20E viz 16       D               2 9926 2 The baryonic collapse efficiency of galaxy groups in the RESOLVE and ECO surveys. ECKERT K.D., KANNAPPAN S.J., LAGOS C.D.P., et al.
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.
2020MNRAS.494.1784A viz 16       D               1 47437 9 Local AGN survey (LASr): I. Galaxy sample, infrared colour selection, and predictions for AGN within 100 Mpc. ASMUS D., GREENWELL C.L., GANDHI P., 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.
2024ApJ...970...83B 18       D               1 2480 ~ Structure and Kinematics of Star-forming Elliptical Galaxies in SDSS-MaNGA. BISWAS P. and WADADEKAR Y.
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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