The database includes records of hydrobionts (fish and some invertebrates) made during the author's field research conducted within Mykolaiv administrative region of Ukraine.
The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 239 records.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
The table below shows only published versions of the resource that are publicly accessible.
How to cite
Researchers should cite this work as follows:
Didenko O (2023). Some records of hydrobionts from Mykolaiv region. Version 1.0. Ukrainian Nature Conservation Group (NGO). Occurrence dataset. https://ukraine.ipt.gbif.no/resource?r=mykolaivfish&v=1.0
Researchers should respect the following rights statement:
The publisher and rights holder of this work is Ukrainian Nature Conservation Group (NGO). This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
This resource has been registered with GBIF, and assigned the following GBIF UUID: 96fcee17-f4b5-4640-a826-8e6462679cb9. Ukrainian Nature Conservation Group (NGO) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.
Occurrence; Mykolaiv; Ukraine; hydrobionts; fish; Actinopterygii; invertebrates; biodiversity; aquatic fauna; Observation
- Metadata Provider ●
- Originator ●
- Point Of Contact
The dataset covers the territory of Mykolaiv administrative region of Ukraine.
|South West [46.4, 30.207], North East [48.228, 33.135]
The dataset consists of records of various fish species (Actinopterygii class) and several species of aquatic invertebrates (ot those associated with water habitats on at least 1 ontogenetic stage of their life cycle) that were recorded during catching sessions.
|Chordata, Cnidaria, Arthropoda
|Malacostraca, Scyphozoa, Elasmobranchii
|Acipenseriformes, Atheriniformes, Beloniformes, Clupeiformes, Cypriniformes, Decapoda, Esociformes, Gadiformes, Mugiliformes, Myliobatiformes, Ophidiiformes, Perciformes, Pleuronectiformes, Rhizostomeae, Scorpaeniformes, Semaeostomeae, Siluriformes, Syngnathiformes
No Description available
|Natural potential in community plans of the post-war Mykolaiv Oblast
|The project was implemented with the financial support of the Ministry of Foreign Affairs of the Czech Republic as part of the Transition Promotion Program.
The personnel involved in the project:
- Point Of Contact
The datasetwas created using the Microsoft Excel v.2016. Catches of pond seines, which were exposed in the coastal zone of the Black Sea near the village of Rybakivka (Mykolaiv district of the Mykolaiv region (September-October 2021)), were also analyzed. In addition, the data of control catches of the Institute of Fisheries of the National Academy of Sciences of Ukraine in the Oleksandrivske reservoir, which were carried out in August 2016, are provided in the dataset too. Species identification was carried out via commonly accepted methodology due to visual specific features.
|The dataset includes records of species of fish and some aquatic invertebrates that were caught in various fishing gear (industrial, poaching, scientific) in the Mykolayiv region. Information on poaching catches was taken from the criminal proceedings of the National Police of Ukraine in the Mykolaiv region (2022-2023).
|The author, as a an ichthyologist with more than 15 years of experience, is fully responsible for the quality of data provided in the dataset.
Method step description:
- Conducting of field research.
- Check of the information inside the reports of local Fish Patrol inspection organization.
- Identification of fish species that were caught along with invertebrates that were caught accidentally.
- Georeferencing of the records.
- Organizing of the dataset according to the Darwin Core standards.