Title: WINGS Data Release: a database of galaxies in nearby clusters Show Chinese title

Title: WINGS数据发布：邻近星系团中的星系数据库

Abstract: [Abridged] To effectively investigate galaxy formation and evolution, it is of paramount importance to exploit homogeneous data for large samples of galaxies in different environments. The WINGS (WIde-field Nearby Galaxy-cluster Survey) project aim is to evaluate physical properties of galaxies in a complete sample of low redshift clusters to be used as reference sample for evolutionary studies. The WINGS survey is still ongoing and the original dataset will soon be enlarged with new observations. This paper presents the entire collection of WINGS measurements obtained so far. We decided to make use of the Virtual Observatory (VO) tools to share the WINGS database (that will be regularly updated) with the community. In the database each object has one unique identification (WINGSID). Each subset of estimated properties is accessible using a simple cone search (including wide-field images). We provide the scientific community the entire set of wide-field images. Furthermore, the published database contains photometry of 759,024 objects and surface brightness analysis for 42,275 and 41,463 galaxies in the V and B band, respectively. The completeness depends on the image quality, and on the cluster redshift, reaching on average 90% at V<= 21.7. Near infrared photometric catalogs for 26 (in K) and 19 (in J) clusters are part of the database and the number of sources is 962,344 in K and 628,813 in J. Here again the completeness depends on the data quality, but it is on average higher than 90% for J<=20.5 and K<=19.4. The IR subsample with a Sersic fit comprises 71,687 objects. A morphological classification is available for 39,923 galaxies. We publish spectroscopic data, including 6,132 redshifts, 5,299 star formation histories and 4,381 equivalent widths. Finally, a calculation of local density is presented and implemented in the VO catalogs for 66,164 galaxies. Show Chinese abstract

Abstract: [摘要] 为了有效地研究星系的形成和演化，利用不同环境中的大样本星系的均匀数据至关重要。WINGS（广域邻近星系团巡天）项目的目标是评估一个低红移星系团完整样本的物理特性，用作演化研究的参考样本。WINGS巡天仍在进行中，原始数据集将很快通过新的观测进行扩展。本文介绍了迄今为止获得的WINGS测量结果的全部集合。我们决定使用虚拟天文台（VO）工具与社区共享WINGS数据库（该数据库将定期更新）。在数据库中，每个对象都有一个唯一的标识符（WINGSID）。可以使用简单的圆锥搜索（包括广角图像）访问每个估计属性子集。我们向科学界提供了全部的广角图像。此外，发布的数据库包含759,024个物体的测光数据，以及V波段42,275个和B波段41,463个星系的表面亮度分析。完整性取决于图像质量和星系团红移，在V<= 21.7时平均达到90%。26个（在K波段）和19个（在J波段）星系团的近红外测光目录是数据库的一部分，源的数量分别为K波段962,344个和J波段628,813个。在这里，完整性同样取决于数据质量，但J<=20.5和K<=19.4时平均高于90%。具有Sersic拟合的红外子样本包含71,687个物体。39,923个星系有形态分类。我们发布了光谱数据，包括6,132个红移，5,299个恒星形成历史和4,381个等值宽度。最后，对66,164个星系进行了局部密度的计算，并在VO目录中实现。