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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 1,159 Results
FAIR data Numismatic products of the National Bank of Ukraine (1995-2025)-2.docx
Aug 16, 2026 - Нумізматична продукція Національного банку України (1995-2025) в контексті ствердження української національної ідентичності / Numismatic products of the National Bank of Ukraine (1995-2025) in the context of affirming Ukrainian national identity
MS Word - 97.6 KB - MD5: cf9d643ac765777527be0f3aa604406b
Data for: Correlated electronic structure and local spin in lead-copper-vanadium-bromine apatite: a DMFT study
Data for: Correlated electronic structure and local spin in lead-copper-vanadium-bromine apatite: a DMFT study
Aug 14, 2026 - SPM&RS Centre
Sukhenko Ihor, 2025, "Data for: Correlated electronic structure and local spin in lead-copper-vanadium-bromine apatite: a DMFT study", https://doi.org/10.48788/DVUA/UTUHLT, DataverseUA, V2
This dataset contains the input files, output data, and post-processing scripts associated with the DFT+DMFT study of the copper-substituted lead–vanadium bromine apatite Pb9Cu(VO4)6Br2 (arXiv:2511.04475). It supports the analysis of correlated electronic structure, spectral prop...
Pb9CuV6O24Br2.cif
Aug 14, 2026 - Data for: Correlated electronic structure and local spin in lead-copper-vanadium-bromine apatite: a DMFT study
chemical/x-cif - 3.8 KB - MD5: 4d4d349338766dd54042100bd13f47b6
Crystal structure of the Pb9Cu(VO4)6Br2 compound studied in the paper, in the cif format.
Pb9CuV6O24Br2.vasp
Aug 14, 2026 - Data for: Correlated electronic structure and local spin in lead-copper-vanadium-bromine apatite: a DMFT study
Unknown - 2.6 KB - MD5: bab2f98943fd4e095a98fa5910921698
Crystal structure of the Pb9Cu(VO4)6Br2 compound studied in the paper, in the POSCAR format.
ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
Aug 13, 2026 - V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine
Galelyuka, Igor; Romanov, Volodymyr, 2026, "ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models", https://doi.org/10.48788/DVUA/T8V83V, DataverseUA, V1, UNF:6:bqdw6+LCffW4aqx10ClhDA== [fileUNF]
## Motivation and scope Motivation: controlled study of domain shift, domain robustness, classification and segmentation; this is not a substitute for natural data. ## Composition Six domains (clean, rotation, geometry, noise, clipping, composite); five classes (circle, octagon,...
AUTHORS.md
Aug 13, 2026 - ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
Markdown Text - 1003 B - MD5: c26c8134e9e173518eca649053ae73d8
CHANGELOG.md
Aug 13, 2026 - ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
Markdown Text - 214 B - MD5: 76dbaf6f3afcf88a69f9b873cf3dcc72
CITATION.cff
Aug 13, 2026 - ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
Unknown - 429 B - MD5: 2e19f5524b2023856b0e01eb25004faf
CITATION.txt
Aug 13, 2026 - ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
Plain Text - 408 B - MD5: 836db3e4b33d909ae545681b5cd8e63c
DATASET_CARD_EN.md
Aug 13, 2026 - ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
Markdown Text - 2.0 KB - MD5: 4a64222d21a2f00c8f7b87ce93571326
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