Data underlying the publication: A Review on Shape Optimization of Hulls and Airfoils Leveraging Computational Fluid Dynamics Data-Driven Surrogate Models

This dataset supports the publication <em>A Review on Shape Optimization of Hulls and Airfoils Leveraging Computational Fluid Dynamics Data-Driven Surrogate Models</em>. It consists of a structured spreadsheet compiling relevant academic works that apply surrogate modeling techniques to the shape optimization of marine hulls and airfoils. The dataset includes bibliographic information, surrogate model types, CFD fidelity levels, optimization strategies, and target performance metrics. It was manually curated to support a systematic overview of the field, highlighting methodological trends, research gaps, and comparative insights across different domains. This dataset enables further meta-analysis, replication of the review, and serves as a reference resource for researchers entering the field.