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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 - 52.8 KB - MD5: 4ceccb6a0ca11dd1174e02cb489dbf15
run№3 temperature +30°C
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 52.7 KB - MD5: 1037d5be6336193b74dc2cbc75ad965f
run№3 temperature +40°C
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 49.6 KB - MD5: 26374bc09dca7cedefc8ec2d97e49611
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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 - 45.3 KB - MD5: 8579004c108ed08091538ed1aa327d0a
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
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run№4 temperature +10°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№4 temperature +20°C
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 54.0 KB - MD5: 5dbf1fc09ea3ae4ab64ae82eddfc9944
run№4 temperature +30°C
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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: 8f1da1dc1be21d850b3a8c9e55abcfe2
run№4 temperature +40°C
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
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