Description
The dataset consists of records of common herpetofauna species of Ukraine, for which the infestation with different endoparasitic organisms (helminths) was studied in 2021-2023. This dataset is an addition to another dataset ("Particular records of helminths from common species of herpetofauna of Ukraine") that represents the finds of helminths species and was created in order to provide additional information for scientific studies. In particular it shows also those individuals that appeared to be helminths-free and provides more information on intensivity and extensivity of parasitic invasions. For every host the list of helminths found inside, is mentioned.
Data Records
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 205 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.
Versions
The table below shows only published versions of the resource that are publicly accessible.
How to cite
Researchers should cite this work as follows:
Marushchak O, Svitin R, Syrota Y, Kuzmin Y, Dmytrieva I, Nechai A, Lisitsyna O (2023). Records of common ukrainian herpetofauna species for which the infestation with helminths was studied in 2021-2023. Version 1.0. Ukrainian Nature Conservation Group (NGO). Occurrence dataset. https://ukraine.ipt.gbif.no/resource?r=helminthshostsherp1&v=1.0
Rights
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.
GBIF Registration
This resource has been registered with GBIF, and assigned the following GBIF UUID: ae513258-b799-4447-9b2c-128c74616ea2. Ukrainian Nature Conservation Group (NGO) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.
Keywords
Occurrence; herpetofauna; common fauna; amphibians; reptiles; helminths hosts; biodiversity; hosts; Ukraine; Observation
Contacts
- Metadata Provider ●
- Custodian Steward ●
- Originator ●
- Point Of Contact
https://orcid.org/0000-0001-9380-5593
- Originator
- Originator
- Originator
- Originator
- Originator
- Originator
Geographic Coverage
The dataset covers the territory of Ukraine (Zakarpattia, Lviv, Ivano-Frankivs'k, Odesa, Vinnytsia, Zhytomyr, Kyiv, Poltava, Cherkasy, Zaporizhzhia administrative regions), that was available for conducting field research and material collection during the full-scale war started by Russia against Ukraine.
| Bounding Coordinates | South West [44.34, 22.104], North East [52.402, 40.21] |
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Taxonomic Coverage
The dataset consists of 205 individuals belonging to 15 species (8 amphibians and 7 reptiles) of herpetofauna of Ukraine.
| Kingdom | Animalia |
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| Phylum | Chordata |
| Class | Amphibia, Squamata, Testudines |
| Order | Anura, Caudata |
Temporal Coverage
| Formation Period | 2021/2023 |
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Project Data
The aims of the projects include: - collecting material from the maximum possible number of species of amphibians and reptiles from different regions of Ukraine; - identifying the collected types of parasites using light microscopy methods; - obtain the genetic sequences of the most widely used nuclear (18S) and mitochondrial (soh1).
| Title | Creating of genetic base of helminths from common species of amphibians and reptiles from the territory of Ukraine |
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| Identifier | 29/02-2022(4) |
| Funding | The project is funded by National Academy of Sciences of Ukraine and is done in the I. I. Schmalhausen institute of zoology NAS of Ukraine. |
| Study Area Description | The projects covers the entire territory of Ukraine and includes the invasive study of communities of helminth presented in the target studied species of herpetofauna. |
| Design Description | The projects is designed by young scientists. |
The personnel involved in the project:
Sampling Methods
Animals were caught manually during the peaks of activity of amphibians or reptiles (mainly from 7:00 to 11:00 am and from 5:00 to 11:00 pm). Catching of amphibians and reptiles wa performed using a net, fishing rod, fishing traps, a hook or by hand. For visualizing the records, the points of herpetofauna registrations were collected (with the indication of latitude 00.00000 N and longitude 00.00000 E) using the field off-line orientation program MAPS.ME (version 12.0.1-Google) and Google Earth Pro (Earth version 7.3.3). Visualization of records and creation of maps was carried out in the QGIS program (v.2.181, QGIS Development Team, 2016. QGIS Geographic Information System. Open Source Geospatial Foundation. URL http://qgis.org).The species identification was carried out using methodological materials (Bannikov and Darevsky, 1977; Nekrasova and Morozov-Leonov, 2001; Kuzmin, 2012). For further studies, the animals were brought alive to the laboratory complex of I. I. Schmalhausen Institute of Zoology, NAS of Ukraine, Kyiv, Ukraine, where the further study of helminths took place. No special permits were needed for such work and collecting of common species of reptiles and amphibians.
| Study Extent | The dataset represents information on records of herpetofauna representatives that were studied as hosts of different helminths during 2021-2023. |
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| Quality Control | The authors are fully responsible for the quality of the dataset and accuracy of information shown in it. The first author is a skillful herpetologist with more than 10 years of work experience. |
Method step description:
- Conducting of field surveys and trips in search for representatives of native herpetofauna.
- Collecting of information from other local residents on the presence of certain species.
- Collecting of living specimens along with visual species identification.
- Georeferencing.
- Putting of the information in the digital table designed in MS Excel.
- Organizing of a dataset according to DarwinCore standards.
Additional Metadata
| Alternative Identifiers | https://ukraine.ipt.gbif.no/resource?r=helminthshostsherp1 |
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