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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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141 to 150 of 1,221 Results
shapedomainlab_v1.0.0_geometry.zip
Aug 13, 2026 - ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 7.0 MB - MD5: 0bd9072c3c30c064ab8a02bf5e0f2222
shapedomainlab_v1.0.0_noise.zip
Aug 13, 2026 - ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 29.6 MB - MD5: 9778ffb7ba0d3047b6776b7bb2006225
shapedomainlab_v1.0.0_quality_reports.zip
Aug 13, 2026 - ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 89.9 MB - MD5: bd55a9f8c0203455d20c04b5134f5a9b
shapedomainlab_v1.0.0_rotation.zip
Aug 13, 2026 - ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 7.6 MB - MD5: ce32f5fbf596d2f29651523e6226afff
test_results.txt
Aug 13, 2026 - ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
Plain Text - 102 B - MD5: 138bfead709a6051069d92f5b9d00cc4
Spectral analysis of graphite ore enrichment tailings: results of research on samples from tailings pond No. 2
Jul 23, 2026 - M. S. Poliakov Institute of Geotechnical Mechanics of the National Academy of Sciences of Ukraine
Bubnova, Olena; Kateryna Babii; Kateryna Levchenko; Daria Riumina, 2026, "Spectral analysis of graphite ore enrichment tailings: results of research on samples from tailings pond No. 2", https://doi.org/10.48788/DVUA/RBBF8X, DataverseUA, V1
The dataset contains information on the results of elemental analysis of tailings samples taken in tailings storage facility No. 2 of the Zavalli Graphite Plant. The purpose of the dataset is to further identify patterns and construct maps of the distribution of the contents of t...
Readme.txt
Jul 23, 2026 - Spectral analysis of graphite ore enrichment tailings: results of research on samples from tailings pond No. 2
Plain Text - 31.8 KB - MD5: 857c157d18ca316eea1b09fc99fd1eff
Документація
Sample no. 22.pdf
Jul 23, 2026 - Spectral analysis of graphite ore enrichment tailings: results of research on samples from tailings pond No. 2
Adobe PDF - 148.4 KB - MD5: 281a9ad97bf257a7c425967000a717aa
Дані
1. Number of Variables:16 2. Number of Cases/Rows:7 3. Variable List: Component, Result, Unit, Statistical error, Detection limit, Quantitation limit, Element line, Intensity 4. Missing Data Codes: Mg - magnesium, Al - aluminum, Si - silicon, Ti - titanium, V - vanadium, Mn - ma...
Sample no.1.pdf
Jul 23, 2026 - Spectral analysis of graphite ore enrichment tailings: results of research on samples from tailings pond No. 2
Adobe PDF - 147.8 KB - MD5: 08869d8a837ba2b3b0f7b70e5c0200a4
Дані
1. Number of Variables:16 2. Number of Cases/Rows:7 3. Variable List: Component, Result, Unit, Statistical error, Detection limit, Quantitation limit, Element line, Intensity 4. Missing Data Codes: Mg - magnesium, Al - aluminum, Si - silicon, Ti - titanium, V - vanadium, Mn - ma...
Sample no.11.pdf
Jul 23, 2026 - Spectral analysis of graphite ore enrichment tailings: results of research on samples from tailings pond No. 2
Adobe PDF - 146.8 KB - MD5: 8c4391abd0b775d071c6f1c56eb2d314
Дані
1. Number of Variables:16 2. Number of Cases/Rows:7 3. Variable List: Component, Result, Unit, Statistical error, Detection limit, Quantitation limit, Element line, Intensity 4. Missing Data Codes: Mg - magnesium, Al - aluminum, Si - silicon, Ti - titanium, V - vanadium, Mn - ma...
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