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| Z 131-14 , the SIMBAD biblio (42 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST05:50:04 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
1978AJ.....83.1549K |
721 | 160 | A study of field galaxy. I. Redshifts and photometry of a complete sample of galaxies. | KIRSHNER R.P., OEMLER A.Jr and SCHECHTER P.L. | |||||
|
1988AJ.....95.1629M |
376 | 11 | (OIII) emission in two magnitude-limited field-galaxy surveys. | MOODY J.W. and KIRSHNER R.P. | |||||
|
1999A&AS..140...89P |
14 | D | 1 | 16703 | 9 | Galaxy coordinates. II. Accurate equatorial coordinates for 17298 galaxies. | PATUREL G., PETIT C., PRUGNIEL P., et al. | ||
|
2001ARep...45..581B |
14 | D | 1 | 1482 | 6 | Properties of quasar-galaxy associations and gravitational mesolensing by halo objects. | BUKHMASTOVA Y.L. | ||
|
2003A&A...412...45P |
15 | D | 1 | 956189 | 750 | HYPERLEDA. I. Identification and designation of galaxies. | PATUREL G., PETIT C., PRUGNIEL P., et al. | ||
|
2003AJ....126.2152R |
15 | D | 15140 | 214 | CAIRNS: the cluster and infall region nearby survey. I. Redshifts and mass profiles. | RINES K., GELLER M.J., KURTZ M.J., et al. | |||
|
2011AJ....142..170H |
15 | D | 1 | 15886 | 568 | The Arecibo Legacy Fast ALFA survey: the α.40 H I source catalog, its characteristics and their impact on the derivation of the H I mass function. | HAYNES M.P., GIOVANELLI R., MARTIN A.M., et al. | ||
|
2011MNRAS.416.2840L |
15 | D | 1 | 72558 | 178 | The 2M++ galaxy redshift catalogue. | LAVAUX G. and HUDSON M.J. | ||
|
2013A&A...553A..91F |
15 | D | 1 | 750 | 25 | Hα3: an Hα imaging survey of HI selected galaxies from ALFALFA. IV. Structure of galaxies in the Local and Coma superclusters. | FOSSATI M., GAVAZZI G., SAVORGNAN G., et al. | ||
|
2014ApJ...788...45T |
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 |
16 | D | 2 | 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. | ||
|
2015A&A...576A..16G |
16 | D | 1 | 732 | 10 | Hα3: an Hα imaging survey of HIselected galaxies from ALFALFA. V. The Coma supercluster survey completion. | GAVAZZI G., CONSOLANDI G., VISCARDI E., et al. | ||
|
2016A&A...588A..14T |
16 | D | 1 | 84079 | 35 | Friends-of-friends galaxy group finder with membership refinement. | TEMPEL E., KIPPER R., TAMM A., et al. | ||
|
2016A&A...593A..40V |
16 | D | 1 | 2182 | 2 | Full stellar kinematical profiles of central parts of nearby galaxies. | VUDRAGOVIC A., SAMUROVIC S. and JOVANOVIC M. | ||
|
2017ApJ...837..120G |
16 | D | 1 | 14404 | 66 | LOSS revisited. I. Unraveling correlations between supernova rates and galaxy properties, as measured in a reanalysis of the Lick Observatory Supernova Search. | GRAUR O., BIANCO F.B., HUANG S., et al. | ||
|
2017AJ....154...86W |
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. | ||
|
2018ApJ...861...49H |
16 | D | 1 | 31270 | 293 | The Arecibo Legacy Fast ALFA survey: the ALFALFA extragalactic H I source catalog. | HAYNES M.P., GIOVANELLI R., KENT B.R., et al. | ||
|
2018MNRAS.481.3497S |
16 | D | 1 | 198 | 31 | JINGLE, a JCMT legacy survey of dust and gas for galaxy evolution studies - I. Survey overview and first results. | SAINTONGE A., WILSON C.D., XIAO T., et al. | ||
|
2019MNRAS.483.2057F |
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. | ||
|
2019MNRAS.486.4166S |
16 | D | 1 | 199 | 3 | JINGLE, a JCMT legacy survey of dust and gas for galaxy evolution studies: II. SCUBA-2 850 µm data reduction and dust flux density catalogues. | SMITH M.W.L., CLARK C.J.R., DE LOOZE I., et al. | ||
|
2019ApJ...882....9S |
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. | ||
|
2019MNRAS.489.4389L |
16 | D | 1 | 195 | 21 | JINGLE - V. Dust properties of nearby galaxies derived from hierarchical Bayesian SED fitting. | LAMPERTI I., SAINTONGE A., DE LOOZE I., et al. | ||
|
2020ApJ...894...57S |
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. | ||
|
2020MNRAS.494.2090J |
16 | D | 1 | 5735 | ~ | The H I mass function of group galaxies in the ALFALFA survey. | JONES M.G., HESS K.M., ADAMS E.A.K., et al. | ||
|
2020MNRAS.495.4158F |
16 | D | 1 | 682 | 26 | SDSS-IV MaNGA: spatially resolved star formation in barred galaxies. | FRASER-MCKELVIE A., ARAGON-SALAMANCA A., MERRIFIELD M., et al. | ||
|
2020MNRAS.496.3668D |
16 | D | 1 | 421 | 31 | JINGLE - IV. Dust, H I gas, and metal scaling laws in the local Universe. | DE LOOZE I., LAMPERTI I., SAINTONGE A., et al. | ||
| 2020MNRAS.499.1116F | 84 | F | 1 | 8 | 18 | SDSS-IV MaNGA: The link between bars and the early cessation of star formation in spiral galaxies. | FRASER-MCKELVIE A., MERRIFIELD M., ARAGON-SALAMANCA A., et al. | ||
|
2020MNRAS.499.1406L |
16 | D | 2 | 265 | 19 | SDSS-IV MaNGA: the indispensable role of bars in enhancing the central star formation of low-z galaxies. | LIN L., LI C., DU C., et al. | ||
|
2020ApJ...902..145K |
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 |
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. | ||
| 2021A&A...646A..54P | 84 | F | 1 | 7 | ~ | Two types of distribution of the gas velocity dispersion of MaNGA galaxies. | PILYUGIN L.S., ZINCHENKO I.A., LARA-LOPEZ M.A., et al. | ||
|
2022MNRAS.511.6160K |
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. | ||
|
2022A&A...659A.131D |
17 | D | 1 | 465 | 9 | Ionised gas kinematics in MaNGA AGN. Extents of the narrow-line and kinematically disturbed regions. | DECONTO-MACHADO A., RIFFEL R.A., ILHA G.S., et al. | ||
|
2022MNRAS.513..389R |
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..261...21Y |
17 | D | 1 | 29963 | 6 | Statistical Analysis of H I Profile Asymmetry and Shape for Nearby Galaxies. | YU N., HO L.C., WANG J., et al. | ||
|
2022ApJ...935..170A |
17 | D | 1 | 44067 | 26 | Arrival Directions of Cosmic Rays above 32 EeV from Phase One of the Pierre Auger Observatory. | ABREU P., AGLIETTA M., ALBURY J.M., et al. | ||
|
2022ApJS..262...36S |
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 |
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 |
17 | D | 1 | 356397 | ~ | Siena Galaxy Atlas 2020. | MOUSTAKAS J., LANG D., DEY A., et al. | ||
|
2024MNRAS.527.7438R |
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 |
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. |