The datasets presented here aim to summarize over 150 years of myxomycetes research in Ukraine. The majority of the data has been extracted from published literature sources spanning the years 1842 to 2023, with a minor supplement from unpublished herbarium specimens. The datasets include 5039 georeferenced occurrences, 340 taxa and 86 literature sources. Seventy of used literature sources are published in open access.
The data in this checklist 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 340 records.
2 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.
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:
Yatsiuk I, Leontyev D, Leshchenko Y, Viunnyk V (2023). The comprehensive checklist and extended occurrence and reference datasets of myxomycetes of Ukraine. Version 1.7. V. N. Karazin Kharkiv National University. Checklist dataset. https://ukraine.ipt.gbif.no/resource?r=myxomycetesukraine&v=1.7
Researchers should respect the following rights statement:
The publisher and rights holder of this work is V. N. Karazin Kharkiv National University. 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: 7f90f977-1004-40f8-a471-7bbf517a006d. V. N. Karazin Kharkiv National University publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.
Checklist; Inventorythematic derivedFromOccurrence taxonomicAuthority nomenclatorAuthority
The entire territory of Ukraine in 1991 borders
|Bounding Coordinates||South West [44.465, 21.973], North East [52.696, 40.43]|
The checklist includes 340 taxa of slime moulds, among them 332 are species, and the rest are identified to the genus level. Nearly all records represent the class Myxomycetes (Eumycotozoa, Amoebozoa). One species belongs to the class Ceratiomyxomycetes (Eumycetozoa, Amoebozoa), and one represents the family Acrasidae (Heterolobosea, Excavata).
|Phylum||Myxomycetes (slime moulds), Ceratiomyxomycetes (slime moulds)|
|Family||Acrasidae (slime moulds)|
|Start Date / End Date||1830-01-01 / 2023-09-22|
BioDATA grant for data mobilization including digitization, data quality assurance, data preparation, and publication of collection specimen and other species data from Ukraine to GBIF. Dataset preparation was supported within the project "Deciphering Cyrillic: the checklist from invisible sources". More details on the grant program here (https://www.nhm.uio.no/english/research/projects/biodata/activities/data-mobilization-call-ukraine.html).
|Title||Deciphering Cyrillic: the checklist from invisible sources|
|Funding||BioDATA partners, NLBIF, GBIF Norway, and the UiO Natural History Museum|
The personnel involved in the project:
- Principal Investigator
- Custodian Steward
The literature sources selected for this dataset included only scientific literature, comprising monographs, peer-reviewed journal articles, conference abstracts, annual reports of protected areas, PhD and Master’s thesis. Herbarium specimens incorporated here have either been identified or verified by academic myxomycetes researchers. Information from the literature was extracted manually into comma-separated spreadsheets containing columns named according to the Darwin Core standard. To avoid duplication, sources, supported by datasets already published in GBIF, were not entered into the occurrence dataset, but added later on the stage of data analysis and checklist generation. The checklist dataset was created automatically by extracting unique values from the scientificName column within the occurrence dataset, following the completion of the taxonomic assessment. The References dataset was generated through manual extraction of information from literature sources, with the data organized into a comma-separated spreadsheet. The columns in this dataset adhere to the Darwin Core standard. The literature sources originally lacking a DOI, were published on Zenodo repository (zenodo.org) and assigned one. In total 70 sources were published.
|Study Extent||1830-2023, Ukraine|
|Quality Control||Spreadsheets were checked and cleaned with Openrefine v. 3.2 (https://openrefine.org/). Taxa names were checked for misspelling by matching against the GBIF Species Matching tool. Results of georeferencing were checked visually by plotting occurrences with QGIS software (QGIS Development Team, 2020). Taxonomic assessment was based upon “An on line nomenclatural information system of Eumycetozoa” (Lado, 2005), except in cases where subspecies or forms were reported. In instances involving subspecies/forms, as these are not recognized as valid taxa in the aforementioned nomenclature database, taxonomic treatments were based on several monographs (Martin and Alexopoulos, 1969; Nannenga-Bremekamp, 1991; Poulain et al., 2011), as well as expert taxonomic opinions.|
Method step description:
- The occurrence dataset was produced with the following steps: 1. Survey and digitization of professional literature resources on myxomycetes occurrences in the territory of Ukraine in its borders as of 1991 (total 88 sources); 2. Preparation of Darwin Core-formatted template; 3. Data extraction from the literature sources into corresponding columns (in total 5039 occurrences); 4. Data extraction from the herbarium labels into corresponding columns; 5. Taxonomic assessment of names; 6. When necessary, automatic georeferencing of occurrences. If the coordinates of the occurrence were missing in the literature or on herbarium labels, the occurrence was georeferenced based on the text description of the occurrence location. Georeferencing was done automatically using the Geocode by Awesome Table extension for Google Sheets (https://workspace.google.com/marketplace/app/geocode_by_awesome_table/904124517349). Precision was determined according to the accuracy of the distance to the occurrence from the authors' description in the text. The accuracy of the given coordinates is determined as follows: one number in decimal place corresponds to the precision of 11.1 km, two numbers = 1.11 km, with each subsequent digit, the distance is reduced by a factor of 10. In the case of localities indicated by names that have been renamed or no longer exist, georeferencing was carried out by the method of digitizing available maps using QGIS 3.16.3 (https://qgis.org/en/site/), followed by the extraction of coordinates. WGS84 was used as a spatial reference system. 7. Data cleaning using OpenRefine; 8. Matching species names; 9. Plotting of occurrences on the map and visual checkup of coordinates. The Reference dataset was derived from the occurrence dataset with the following steps: 1. Preparation of Darwin Core-formatted template; 2. Data extraction from the literature sources into corresponding columns; 3. Data cleaning using OpenRefine. The checklist dataset was derived from the occurrence dataset with the following steps: 1. Preparation of Darwin Core-formatted template; 2. Extraction of unique values from a scientificName column of the occurrence dataset to a scientificName of the checklist dataset. 3. Adding species from recent scientific publications for which datasets have already been published in GBIF
|Purpose||The purpose of this publication is to serve as a foundational resource for conducting country-wise ecological studies, particularly vital for evaluating the potential impact of the ongoing war on biodiversity in the future.|