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Dataverse UA is a national research data repository designed to support open science and implement the FAIR principles (Findable, Accessible, Interoperable, Reusable) in Ukraine. Its mission is to ensure long-term preservation, publication, and reuse of research outputs in standardized formats. The platform enables researchers, educators, graduate students, and institutions to store datasets, metadata, supporting documents, and code — all with persistent identifiers (DOIs), Creative Commons licenses, and ORCID integration. Dataverse UA supports both Ukrainian and English, allows the creation of thematic collections by discipline or institution, and complies with the standards of the National Academy of Sciences of Ukraine and international best practices. It is a tool for enhancing transparency, reliability, and reproducibility in research, while connecting Ukrainian science to global open data ecosystems.
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31 to 40 of 1,539 Results
Plain Text - 6.2 KB - MD5: 648a436e1cd9a2c69e8e09a689012725
Data
README text file containing information about the contents of the dataset directory for Mn₂₋ₓCoₓP₂O₇·5H₂O at x = 1.9
JSON - 5.0 KB - MD5: 2d75b44ba41dada7131e18e9d8bcd8ec
CodeData
XPS experimental metadata file containing information on the measurement conditions, instrument, spectral acquisition parameters, sample, and binding-energy calibration
Markdown Text - 7.7 KB - MD5: 18cba8aba7c83b84e73a2a459f8f0c69
Data
Description of column definitions, physical quantities, units, delimiters, decimal notation, data types, and import requirements for the numerical XPS spectral files
JSON - 3.8 KB - MD5: ab1c864d5b64f153b08883e3e4b84626
CodeData
Machine-readable inventory of all files in the deposited data package, including relationships between numerical spectra and derived images
Oct 8, 2026 - Sumy State University
Tatsenko, Nataliia; Korobova, Yuliia, 2026, "Supporting Dataset for “Developing Professional Competence in SEL for EFL Pre-Service Teachers: Implications for Ukraine from U.S. University Syllabi”: Structured Data from the Comparative Analysis of 20 U.S. University Teacher-Education Syllabi", https://doi.org/10.48788/DVUA/V6BFOG, DataverseUA, V1, UNF:6:WkSZab/n3XTIlENkyg4plQ== [fileUNF]
This dataset supports the article “Educational Losses and SEL in Wartime Ukraine: Implications for English Teacher Education” and provides structured comparative data extracted from 20 university-level teacher-education syllabi from 14 U.S. institutions. Its purpose is to documen...
Tabular Data - 16.0 KB - 10 Variables, 20 Observations - UNF:6:WkSZab/n3XTIlENkyg4plQ==
This dataset provides a structured comparative overview of 20 U.S.-based teacher-education and professional-development courses focused on social-emotional learning, trauma-informed pedagogy, mindfulness, restorative practices, mental health, inclusive education, and classroom ma...
Oct 5, 2026 - M. S. Poliakov Institute of Geotechnical Mechanics of the National Academy of Sciences of Ukraine
Krukovskyi, Oleksandr; Krukovska, Viktoriia; Yanzhula, Oleksii; Imashev, Askar, 2026, "Numerical data on water inflow and face displacement during simulation of hydraulic extrusion of the near-face part of a coal seam", https://doi.org/10.48788/DVUA/3BFXPP, DataverseUA, V1
The dataset contains numerical data used to construct the graphs of water inflow into the mine working and displacement of the working face presented in Figures 9 and 10 of the related scientific publication «Numerical study of geomechanical and filtration parameters in the near-...
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