RREAD ME File For SDF_GAN_Data Dataset DOI: 10.5258/SOTON/D2212 Date that the file was created: 05, 2022 ------------------- GENERAL INFORMATION ------------------- ReadMe Author: Tom Bamford, University of Southampton Date of data collection: 05/2021 - 03/2022 Information about geographic location of data collection: data created and collected on the IRIDIS HPC at University of Southampton Related projects: SDF_GAN -------------------------- SHARING/ACCESS INFORMATION -------------------------- Licenses/restrictions placed on the data, or limitations of reuse: CC-BY Recommended citation for the data: This dataset supports the publication: AUTHORS: Tom Bamford, David Toal, Andy Keane TITLE: SDF-GAN: Aerofoil shape parameterisation via an adversarial auto-encoder JOURNAL: PAPER DOI IF KNOWN: Links to other publicly accessible locations of the data: Links/relationships to ancillary or related data sets: -------------------- DATA & FILE OVERVIEW -------------------- This dataset contains: Models directory, with interior directories containing epoch saves for AAE hyper-parameter survey models, alongside file showing hyper-parameter values and epoch performance statistics Synthetic_Data directory, containing coordinate, SDF and CST parameterisation coefficients for artificially created aerofoils using SVD sampling Validation_Data directory, containing coordinate, SDF and CST parameterisation coefficients for validation data aerofoils (artificially created aerofoils using SVD sampling) Synthetic_Data directory, containing coordinate, SDF and CST parameterisation coefficients for UIUC aerofoils Excel files, containing hyper-parameter survey results Relationship between files, if important for context: Additional related data collected that was not included in the current data package: If data was derived from another source, list source: UIUC aerofoil data: https://m-selig.ae.illinois.edu/ads/coord_database.html If there are there multiple versions of the dataset, list the file updated, when and why update was made: -------------------------- METHODOLOGICAL INFORMATION -------------------------- Description of methods used for collection/generation of data: find details of data collection in the associated SDF_GAN paper Methods for processing the data: Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: PyTorch needed to interpret .pt model files (alongside a coded-up framework of the model) Standards and calibration information, if appropriate: Environmental/experimental conditions: Describe any quality-assurance procedures performed on the data: People involved with sample collection, processing, analysis and/or submission: -------------------------- DATA-SPECIFIC INFORMATION -------------------------- Number of variables: Number of cases/rows: Variable list, defining any abbreviations, units of measure, codes or symbols used: Missing data codes: Specialized formats or other abbreviations used: