READ ME File For 'Dataset for Connecting transonic buffet with incompressible low-frequency oscillations on aerofoils'

Dataset DOI: https://doi.org/10.5258/SOTON/D2900

Date that the file was created: 11/12/2023

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GENERAL INFORMATION
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ReadMe Author: Pradeep Moise, University of Southampton  https://orcid.org/0000-0001-8007-4453 

Period of data collection: 2021-2023

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)

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SHARING/ACCESS INFORMATION
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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.
TITLE: Connecting transonic buffet with incompressible low-frequency oscillations on aerofoils
JOURNAL: Journal of Fluid Mechanics (in press)
PAPER DOI IF KNOWN:

Links to other publicly accessible locations of the data:

Links/relationships to ancillary or related data sets: 


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DATA & FILE OVERVIEW
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This dataset contains:

This dataset corresponds to figures presented in the article, "Connecting transonic buffet with incompressible low-frequency oscillations on aerofoils" published in the Journal of Fluid Mechanics, 2024. Plots with aerofoil geometry are not provided due to copyright reasons. All files are in a 'comma-separated variable' format and named in a "fig[No][subfigure]_[description].csv" format (e.g. fig2a_M0p60.csv refers to figure 2a in the article with M0p6 representing data for M=0.6). Line plots are stored such that columns correspond to x- and y-axis with a header specifying details in a string format.
Figures included:2a,3a,5a,b,6a,b,8a,b,10a,b,11a,b,14a,b,19a,b,22a,b.

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METHODOLOGICAL INFORMATION
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Description of methods used for collection/generation of data: Numerical simulations were performed using ARCHER2 (UK National supercomputing facility), IRIDIS5 cluster (Univ. of Southampton) and Param Sanganak supercomputing facility (Indian Institute of Technology, Kanpur) using the in-house compressible flow solver SBLI.

Methods for processing the data: The raw data generated from the simulations were processed using in-house codes in MATLAB, FORTAN and Python using IRIDIS5 cluster at the University of 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


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DATA-SPECIFIC INFORMATION 
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Line plots are stored such that columns correspond to x and y axes with a header specifying details in a string format. The symbols/variables used correspond to those used in the figures in the publication, details of which can be found there.