We describe the main principles of formation of databases (DBs) with information about astronomical objects and their physical characteristics derived from observations obtained at the Crimean Astrophysical Observatory (CrAO) and published in the “Izvestiya of the CrAO” and elsewhere. Emphasis is placed on the DBs missing from the most complete global library of catalogs and data tables, VizieR...

Abstract. TOPCAT is a widely used desktop application for manipulation of astronomical catalogues and other tables, which has long provided fast interactive visualisation features including 1, 2 and 3-d plots, multiple datasets, linked views, color coding, transparency and more. In Version 4 a new plotting library has been written from scratch to deliver new and enhanced visualisation capabilit...

The NASA Astrophysics Data System (ADS), along with astronomy's journals and data centers (a collaboration dubbed URANIA), has developed a distributed on-line digital library which has become the dominant means by which astronomers search, access and read their technical literature. Digital libraries permit the easy accumulation of a new type of bibliometric measure, the number of electronic ac...

Today's astronomical projects need computational systems capable to store and analyze large amounts of scientific data, to effectively share data with other research Institutes and to easily implement information services to present data for different purposes (scientific, maintenance, outreach, etc.). Due to the wide scenario of astronomical projects there isn't yet a standardized approach to ...

In recent years there has been an explosion in the rate of acquisition of astronomical data. The analysis of astronomical data presents unprecedented opportunities and challenges for data mining in tasks, such as clustering, object discovery and classification. In this work, we address the feature selection problem in classification of photometric and spectroscopic data collected from the SDSS ...