TurbSR3D is processed data derived from public resources available through the Johns Hopkins Turbulence Database and SciServer. The dataset is associated with a codebase and was uploaded by heyhenry03 to Hugging Face. Its last recorded update was on April 18, 2026.
Use Cases
- Train machine learning models for turbulence prediction based on processed simulation data.
- Benchmark super-resolution algorithms for 3D fluid flow fields.
- Validate physics-informed neural networks against canonical turbulence datasets.
Strengths
- Data originates from authoritative public sources like the Johns Hopkins Turbulence Database.
- The dataset is associated with a specific codebase, suggesting a defined application context.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file formats are unknown, which may limit suitability assessment.
Provenance
- Source
- Derived from public resources available through JHTDB / SciServer.
- Freshness
- Last updated 2026-04-18 06:59:38.