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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 - 70.4 KB - MD5: 944e1cf76690694519d742adb46f81ca
run№8 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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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 72.9 KB - MD5: 712ddc24ccb0fd16fc4a0bee42eea60a
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
JPEG Image - 70.5 KB - MD5: 7d537f64a7857f2c7242a92782fc47a8
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
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run№9 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№9 temperature +20°C
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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
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Jan 14, 2026 - Results of Experimental–Numerical Modeling of Smoke Flow under Various Temperature Conditions
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