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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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111 to 120 of 824 Results
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 61.9 KB - MD5: eb0d95ad6140e41bfb4235aca7cad88b
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 56.9 KB - MD5: e39bdfc4cc3090a98a410c86123eeec2
run№9 temperature +30°C
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 64.5 KB - MD5: 76d60db183d982b2927ac871e30e349d
run№9 temperature +40°C
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 63.8 KB - MD5: 4553e53fd3964e8be818b35d84fc71d0
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 61.3 KB - MD5: 3dd6ea12f3c91dbc6412cb0f1971ee9c
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 59.0 KB - MD5: 6599ccdfcfc5b834aec5a800b8a2e95b
Smoke flow design to experiment_FEM
Jan 14, 2026 - Sumy State University
Kolesnyk, Vitalii; Dovhopolov, Andrii; Andrii Deineka, 2026, "Smoke flow design to experiment_FEM", https://doi.org/10.48788/DVUA/JAO7E6, DataverseUA, V1
The dataset contains tabular data about factors and levels considered during Ansys FEM modeling of smoke flow under various meteorological conditions. The design of the experiment (DOE) was generated according to the Taguchi L9 (3^4) array. DOE varied four factors on three levels...
DOE_Taguchi_SG_2.0_4F_3L_(2D task).mpx
Jan 14, 2026 - Smoke flow design to experiment_FEM
Unknown - 34.6 KB - MD5: 66d23895bd9496ac9dae3d23ebb961d3
Minitab file
Replication Data for: ATR-FTIR Spectra of Peat, Digestate, Biochar, and Organo-Mineral Fertilizer
Replication Data for: ATR-FTIR Spectra of Peat, Digestate, Biochar, and Organo-Mineral Fertilizer
Jan 8, 2026 - Sumy State University
Ostroha, Ruslan; Mija, Alice; Cibotaru, Sandu; Skydanenko, Maksym; Bataltsev, Yevhen, 2025, "Replication Data for: ATR-FTIR Spectra of Peat, Digestate, Biochar, and Organo-Mineral Fertilizer", https://doi.org/10.48788/DVUA/CFSY4T, DataverseUA, V2
This dataset contains graphical representations (.png) of FTIR spectra for four organic and organo-mineral samples. The spectral analysis was performed to identify functional group changes during the valorization of digestate. List of analyzed samples: Peat (Reference material) S...
README.txt
Jan 8, 2026 - Replication Data for: ATR-FTIR Spectra of Peat, Digestate, Biochar, and Organo-Mineral Fertilizer
Plain Text - 3.2 KB - MD5: d1df4f1c2fe60585363194c8b682d1dc
Documentation
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