Datasets¶
Overview¶
This section collects curated datasets developed within the MAO research group for:
- design-space dimensionality reduction
- surrogate-based optimization
- time-series modeling and system identification
All datasets are publicly available on :contentReference[oaicite:1]{index=1} and are part of the MAO research group collection:
👉 https://zenodo.org/communities/cnr-inm-mao/
The collection ensures consistency, traceability, and long-term accessibility of all published datasets.
Dataset Categories¶
🔷 Dimensionality Reduction Benchmarks¶
Datasets designed for design-space compression, PME-based methods, and optimization workflows.
These datasets share a common structure:
- geometry (D)
- design variables (U)
- optional physics fields
- performance outputs
Available datasets
- Bio-inspired underwater glider
- RAE2822 airfoil
- DTMB 5415 hull
👉 Explore dimensionality reduction datasets
🌊 Time-Series & Dynamics Datasets¶
Datasets focused on temporal evolution of physical systems, including ship motions and wave-induced responses.
These datasets are suitable for:
- system identification
- reduced-order modeling
- machine learning for time-dependent phenomena
Available datasets
- Ship motion time-series dataset
👉 Explore time-series datasets
Reproducibility¶
All datasets include:
- full metadata
- variable definitions
- preprocessing details
- standardized formats
They are designed for:
- fair benchmarking
- cross-method comparison
- integration with PME-toolkit workflows
Citation¶
Please cite the corresponding Zenodo records when using these datasets.