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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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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 53.3 KB - MD5: 60e4f116a9aca7fc4b091f91ebe36e27
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 52.8 KB - MD5: 37e875af47c702e4e3bd6310cd1d746d
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 105.0 KB - MD5: 9049bb64cac3f1c5093c1a124a44f943
run№5 temperature +20°C
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 105.8 KB - MD5: 56177d15583096b5021f8629b9ea02ae
run№5 temperature +30°C
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
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run№5 temperature +40°C
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 100.7 KB - MD5: a408bbc265514642ff26ebb8ba77d903
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 97.4 KB - MD5: 25e7217a02862aeef7da40a9a0e46d24
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
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run№6 temperature +10°C
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