READ ME File For 'Dataset for Transonic Buffet Characteristics Under Conditions of Free and Forced Transition' Dataset DOI: 10.5258/SOTON/D2444 Date that the file was created: ------------------- GENERAL INFORMATION ------------------- ReadMe Author: Pradeep Moise, University of Southampton https://orcid.org/0000-0001-8007-4453 Period of data collection: 2020 to 2022 Information about geographic location of data collection: University of Southampton Related projects: Extending the buffet envelope: step change in data quantity and quality of analysis (EP/R037167/1) -------------------------- 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: Moise, P., Zauner, M., Sandham, N. D., Timme, S. & Wei, H TITLE: Transonic Buffet Characteristics Under Conditions of Free and Forced Transition JOURNAL: AIAA Journal PAPER DOI IF KNOWN:https://doi.org/10.2514/1.J062362 Links to other publicly accessible locations of the data: Links/relationships to ancillary or related data sets: -------------------- DATA & FILE OVERVIEW -------------------- This dataset contains: DataSets.zip, containing ".csv" (comma separated values, CSV) files in ASCII format. These CSV files correspond to several plots presented in the article, "Transonic Buffet Characteristics Under Conditions of Free and Forced Transition" published in the AIAA Journal, 2022. Plots with aerofoil geometry are not provided due to copyright reasons. All CSV files are named in a "fig[No][subfigure][description].csv" format (e.g. fig30d_X.csv refers to figure 30d in the article with X being the variable stored). The figures for which data is provided are: 3,6,7,8,11,12,13,18,A1,B1. A sample MATLAB script, sampleCode.m is provided for plotting the data in the .csv files. -------------------------- METHODOLOGICAL INFORMATION -------------------------- Description of methods used for collection/generation of data: Large-Eddy Simulations (LES) were performed using ARCHER2 (UK National supercomputing facility) using the in-house compressible flow solver SBLI. Simulations based on the Reynolds-Averaged Navier-Stokes (RANS) framework were performed at University of Liverpool using the DLR TAU code. Methods for processing the data: The raw data generated from the LES were analysed using in-house codes in MATLAB, FORTAN and Python using IRIDIS5 cluster at the University of Southampton. Similarly, the data from the RANS framework were analysed at both University of Liverpool and Southampton. Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: MATLAB, Python or Excel 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: Pradeep Moise (LES, SPOD, processing RANS results, submission), Markus Zauner (LES grid generation), Sebastian Timme (RANS framework), He Wei (RANS framework) -------------------------- DATA-SPECIFIC INFORMATION -------------------------- Line plots are stored such that columns correspond to x and y axes with a header specifying details in a string format. Contour plots contain mesh arrays named based on figure labels (e.g. X and T) and a variable of the same array dimension. The symbols/variables used correspond to those used in the figures in the publication, details of which can be found there.