WEBDA The database of Stellar Clusters and Aggregates Ernst Paunzen Institute for Astronomy, University of Vienna

Philosophy of WEBDA Summarize and prepare all published data for open clusters Summarize and prepare all published data for open clusters Presentation in a standardized way Presentation in a standardized way 1. Own numbering system with transit tables 2. Independent X,Y coordinates Provide tools to query the database in any respect Provide tools to query the database in any respect

History of WEBDA 1972: Start of the Development by 1972: Start of the Development by Jean-Claude Mermilliod 1976: First UBV catalogue 1976: First UBV catalogue 1987: BDA, stars, 500 OCL 1987: BDA, stars, 500 OCL 1992: stars, begin of the CCD era 1992: stars, begin of the CCD era 1996: WEBDA via WWW-Access 1996: WEBDA via WWW-Access 2001: Start of my collaboration 2001: Start of my collaboration 2005: WEBDA moved to Vienna 2005: WEBDA moved to Vienna 2006: stars, individual measurements, 1100 OCL, about 300 users each day, 70 refereed papers per year 2006: stars, individual measurements, 1100 OCL, about 300 users each day, 70 refereed papers per year

Technical Aspects WWW-Server, University Vienna, IBM pSeries 550, AIX 5.2 WWW-Server, University Vienna, IBM pSeries 550, AIX 5.2 Complete database system (data, maps, scripts and archive) includes 650 Mbyte Complete database system (data, maps, scripts and archive) includes 650 Mbyte cgi, Perl, C, sh, frame-environment cgi, Perl, C, sh, frame-environment /rdb format: ASCII tables with headers and separator /rdb format: ASCII tables with headers and separator Starbase 3.2.3, NoSQL, Gnuplot 4.0, GD-Library,.png, all OpenSource Starbase 3.2.3, NoSQL, Gnuplot 4.0, GD-Library,.png, all OpenSource

Contents – Fundamental data Identifications : 2MASS, ADS, ASCC, DM, GCVS, GSC, HD, HIP, HR, IDS, LSN, LSS, SAO, Tycho-2, WEBDA Identifications : 2MASS, ADS, ASCC, DM, GCVS, GSC, HD, HIP, HR, IDS, LSN, LSS, SAO, Tycho-2, WEBDA Transit Tables: cross-references between different sources Transit Tables: cross-references between different sources Coordinates: B1950 and J2000 Coordinates: B1950 and J2000 Rectangular (X,Y) Positions Rectangular (X,Y) Positions

Contents – Photometric data Johnson UBV Johnson UBV Cousins VRI Cousins VRI Kron VRI Kron VRI JHK JHK ASCC - BV ASCC - BV Strömgren uvby Strömgren uvby Crawford  Crawford   byHalpha  byHalpha  Becker RGU  Becker RGU DDO DDO  a  a Geneva 7-color Geneva 7-color IZ IZ Vilnius Vilnius Walraven Walraven Washington system Washington system WBVR WBVR

Contents – Miscellanous data Spectral types Spectral types Lithium abundances Lithium abundances Kinematical data Kinematical data Rotational velocities Rotational velocities Membership probabilities Membership probabilities Spectr. Binaries: orbital elements Spectr. Binaries: orbital elements Variability: Periods and amplitudes Variability: Periods and amplitudes X-ray: CHANDRA and ROSAT data X-ray: CHANDRA and ROSAT data List of groups: Am/p, Be, WR, Giants, Blue Stragglers, SB, non-members, WD List of groups: Am/p, Be, WR, Giants, Blue Stragglers, SB, non-members, WD

Contents – Cluster Level Coordinates:    and (l,b) Coordinates:    and (l,b) Distance from the Sun Distance from the Sun Reddening: E(B-V) Reddening: E(B-V) Distance Modulus Distance Modulus Age: log t Age: log t Metallicity Metallicity Kinematical data Kinematical data Sources: individual references or Catalogue by Wilton Dias (2002, A&A, 389, 871) Sources: individual references or Catalogue by Wilton Dias (2002, A&A, 389, 871)

Outlook – near future Science Science 1. Normalize all photometric observations to a standard one 2. Derive homogeneous cluster parameters 3. Test new isochrones – NEMO database Technical Technical 1. Cascading Style Sheets 2. New tools