PDF(Pubmed)
Abstract：
Scales of the ray finned fishes can be used for multiple purposes. Beside others by their specific structure and elemental composition they are usable for age determination and food-web researches. Additionally, just their presence, absence, shape, location, or numbers could provide a reliable taxonomic information. The fish scales show remarkable size variation also, which characteristics provide reliable information about the environmental needs of freshwater fish. But till now this information was not interpretable and comparable in the absence of a sufficiently large and detailed database. In this study we provide a database which can facilitate the further complex comparative studies. Our dataset consists of 2954 scale photos characterising 193 freshwater fish species. All photos have a uniquely identification code showing exactly which species the scale belongs to. In addition to the photos, our database includes a table showing the exact taxonomic classification of the studied species, the average body profile-index, and the relative scale size, as well as the ecological (flow and feeding habitat preferences) and life strategic characteristics (feeding and breeding guild memberships) of each species. The sampled species have diverse origin, covering five biogeographical regions. An average of five adults from each species were selected for sampling. Three-to-four scales were collected from the anterior part of the body between the dorsal fin and the lateral line. The removed scales were cleaned and prepared to microscope slides, and after this process they were photographed or scanned. Our database can be used for both research and educational purposes. A large number of scale photos assigned of species can be an opportunity to create an automatic species identification system. Moreover, the subjectivity in morphometric measurements can be eliminated by analysing the database with artificial intelligence.
摘要：
射线鳍鱼的尺度可用于多种用途。除了其他特定的结构和元素组成外，它们还可用于年龄确定和食物网研究。此外,只是他们的存在，缺席,形状,location,或者数字可以提供可靠的分类信息。鱼鳞也表现出显著的大小变化，这些特征为淡水鱼的环境需求提供了可靠的信息。但是到目前为止，在没有足够大和详细的数据库的情况下，这些信息是不可解释和可比的。在这项研究中，我们提供了一个数据库，可以促进进一步复杂的比较研究。我们的数据集包括2954张比例照片，描述了193种淡水鱼。所有照片都有一个唯一的识别码，准确显示了该鳞片所属的物种。除了照片,我们的数据库包括一张表格，显示所研究物种的确切分类，平均身体轮廓指数，和相对比例大小，以及每个物种的生态（流量和摄食栖息地偏好）和生命战略特征（摄食和繁殖公会成员）。采样的物种有不同的起源，覆盖五个生物地理区域。从每个物种中平均选择五个成虫进行采样。从背鳍和侧线之间的身体前部收集三到四个鳞片。清除除去的鳞片并准备成显微镜载玻片，在这个过程之后，他们被拍照或扫描。我们的数据库可用于研究和教育目的。分配物种的大量比例照片可以是创建自动物种识别系统的机会。此外，通过使用人工智能分析数据库，可以消除形态测量中的主观性。
