The Sloan Digital Sky Survey Moving Object Catalog (SDSS-MOC) is a large data set that provides five-filter magnitudes and astrometric information for all moving objects identified in the SDSS images (Izevic et al., 2010). The photometric observations were classified by Carvano et al. (2010) into nine taxonomic classes: Vp, Op, Qp, Sp, Ap, Lp, Dp, Xp and Cp, which are related to the classes and complexes of Bus Taxonomy (Bus & Binzel, 2002b). This data set is contains the taxonomic classification of each SDSS detections and its compilation for each observed asteroid.

The Sloan Digital Sky Survey Moving Object Catalog (SDSS-MOC) is a large data set that provides five-filter magnitudes and astrometric information for all moving objects identified in the SDSS images (Izevic et al., 2010). The photometric observations were classified by Carvano et al. (2010) into nine taxonomic classes: Vp, Op, Qp, Sp, Ap, Lp, Dp, Xp and Cp, which are related to the classes and complexes of Bus Taxonomy (Bus & Binzel, 2002b). This data set is contains the taxonomic classification of each SDSS detections and its compilation for each observed asteroid.

The Sloan Digital Sky Survey Moving Object Catalog (SDSS-MOC) is a large data set that provides five-filter magnitudes and astrometric information for all moving objects identified in the SDSS images (Izevic et al., 2010). The photometric observations were classified by Carvano et al. (2010) into nine taxonomic classes: Vp, Op, Qp, Sp, Ap, Lp, Dp, Xp and Cp, which are related to the classes and complexes of Bus Taxonomy (Bus & Binzel, 2002b). This data set is contains the taxonomic classification of each SDSS detections and its compilation for each observed asteroid.

MAST hosts a copy of the SkyMapper DR4 catalog.SMSS DR4 contains optical photometry in the 6 SkyMapper filters (u,v,g,r,i,z) for ~700 million astrophysical sources over 26,000 sq.deg, ranging from the South Celestial Pole to Dec=+16 degrees for objects with data in all bands, and some sources as far North as +29 degrees. The photometry is drawn from over 15 billion measurements made from more than 400,000 images acquired by the 1.3m SkyMapper telescope between March 2014 and September 2021. The typical 10-sigma depths for each field range between 18.5 and 20.5 ABmag, depending on the filter, but certain sky regions include longer exposures that reach as deep as 22 ABmag.Compared to previous SkyMapper data releases, DR4 includes significant enhancements in data processing, most notably a new photometric calibration anchored to synthetic photometry from Gaia low-resolution spectroscopy, which resolves reddening- and spatial-trends identified in previous releases, especially in the bluest filters, u and v.A large number of other photometric and spectroscopic surveys have been cross-matched to the dr4.master table of objects, to facilitate various scientific investigations.

Clusters of galaxies in most of the previous catalogs have redshifts z <= 0.3. Using the photometric redshifts of galaxies from the Sloan Digital Sky Survey Data Release 6 (SDSS DR6), the authors identify 39,716 clusters in the redshift range 0.05 < z < 0.6 with more than eight luminous (M_r <= -21) member galaxies. Cluster redshifts are estimated accurately with an uncertainty of less than 0.022. The contamination rate of member galaxies is found to be roughly 20%, and the completeness of member galaxy detection reaches ~90%. Monte Carlo simulations show that the cluster detection rate is more than 90% for massive (M_200 > 2 x 10¹⁴ M_sun, where M_200 is the total mass within the radius in which the mean mass density is 200 times the critical cosmic mass density) clusters of z <= 0.42. The false detection rate is ~5%. The authors obtain the richness, the summed luminosity, and the gross galaxy number within the determined radius for identified clusters. They are tightly related to the X-ray luminosity and temperature of the clusters. Cluster mass is related to the richness and summed luminosity with M_200 ~ R^{(1.90+/-0.04)} and M_200 ~ L_r^{(1.64+/-0.03)}, respectively. In addition, 790 new candidate X-ray clusters are found by cross-identification of these clusters with the source list of the ROSAT X-ray All-Sky Survey. This table was created by the HEASARC in August 2009 based on electronic versions of Tables 1 and 2 from the paper which were obtained from the Astrophysical Journal web site. This is a service provided by NASA HEASARC .

The Sloan Digital Sky Survey (SDSS) Moving Object Catalog lists astrometric and photometric data for moving objects detected in the SDSS. The catalog includes various identification parameters, SDSS astrometric measurements (five SDSS magnitudes and their errors), and orbital elements for previously cataloged asteroids. The data set also includes a list of the runs from which data are included, and filter response curves.

The Sloan Digital Sky Survey (SDSS) Moving Object Catalog lists astrometric and photometric data for moving objects detected in the SDSS. The catalog includes various identification parameters, SDSS astrometric measurements (five SDSS magnitudes and their errors), and orbital elements for previously cataloged asteroids. The data set also includes a list of the runs from which data are included, and filter response curves.

The Sloan Digital Sky Survey (SDSS) Moving Object Catalog 3rd release lists astrometric and photometric data for moving objects detected in the SDSS. The catalog includes various identification parameters, SDSS astrometric measurements (five SDSS magnitudes and their errors), and orbital elements for previously cataloged asteroids. The data set also includes a list of the runs from which data are included, and filter response curves.

The Sloan Digital Sky Survey (SDSS) Moving Object Catalog 3rd release lists astrometric and photometric data for moving objects detected in the SDSS. The catalog includes various identification parameters, SDSS astrometric measurements (five SDSS magnitudes and their errors), and orbital elements for previously cataloged asteroids. The data set also includes a list of the runs from which data are included, and filter response curves.

This data set contains Sloan Digital Sky Survey (SDSS) asteroid photometric observations classified according to the SDSS-based Asteroid Taxonomy, as developed by Carvano et al. (2010).