Background Knowledge about the distribution of organisms on Earth is important backbone of biological sciences and especially for deeper understanding of biogeography. However, much of the existing distributional data are scattered throughout a multitude of sources (including in different languages), such as taxonomic publications, checklists and natural history collections and often, bringing them together is difficult. Development of the digital storage facilities may prevent loss of important data (Ruchin et al. 2020). Project GBIF is a good example of a successful data storage facility, which allows investigators to publish biodiversity data in one safe place in one uniform format. Our dataset describes the degree of the investigation of the fish fauna of the inland water of the Murmansk Region. Murmansk Region is a Euro-Arctic Region with a heterogeneous landscape, which determines diversity of the habitats for the fish occurrence. Our dataset contains valid information about distribution of the fish species. This dataset was built upon information obtained by the members of a Laboratory of the aquatic ecosystems of the Institute of North Industrial Ecology Problems of Kola Science Center of the Russian Academy of Science (INEP KSC RAS). The dataset includes 18,509 records about 16 fish species from 14 genera (eight families) collected from 1972 to 2021. A total of 67 water bodies from 15 different basins (rivers from basins of the White and Barents Seas) was screened in order to characterise ichthyocenoses. The main purpose of publishing a database is to make our data available in the global biodiversity system to a wide range of users. The data can be used by researchers, as well as helping the authorities to manage their territory more efficiently. New information All occurrences are published in GBIF for the first time. We would like to make this data available to everyone by adding it in the global biodiversity database (GBIF).

中文翻译：

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摩尔曼斯克地区（俄罗斯）内陆水域鱼类的出现：1972-2021 年的研究


背景知识 关于地球上生物体分布的知识是生物科学的重要支柱，特别是对于更深入地了解生物地理学。然而，许多现有的分布数据分散在多种来源（包括不同语言的数据）中，例如分类学出版物、清单和自然历史收藏，通常很难将它们整合在一起。数字存储设施的开发可以防止重要数据丢失（Ruchin et al. 2020）。 GBIF 项目是成功的数据存储设施的一个很好的例子，它允许调查人员在一个安全的地方以一种统一的格式发布生物多样性数据。我们的数据集描述了摩尔曼斯克地区内陆水域鱼类区系的调查程度。摩尔曼斯克地区是欧洲-北极地区，景观异质，决定了鱼类栖息地的多样性。我们的数据集包含有关鱼类分布的有效信息。该数据集基于俄罗斯科学院科拉科学中心北方工业生态问题研究所 (INEP KSC RAS) 水生生态系统实验室成员获得的信息。该数据集包括 1972 年至 2021 年间收集的 14 属（8 科）16 种鱼类的 18,509 条记录。为了表征鱼鳞病特征，对来自 15 个不同流域（白海和巴伦支海流域的河流）的总共 67 个水体进行了筛选。发布数据库的主要目的是让我们的数据在全球生物多样性系统中可供广泛的用户使用。这些数据可供研究人员使用，并帮助当局更有效地管理其领土。 新信息 所有事件均首次在 GBIF 中发布。我们希望将这些数据添加到全球生物多样性数据库 (GBIF) 中，供所有人使用。