READ ME File For 'Dataset for Large-Eddy Simulations and modal reconstruction of laminar transonic buffet'

Dataset DOI: 10.5258/SOTON/D2228

Date that the file was created: May, 2022

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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: 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)

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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: Large-Eddy Simulations and modal reconstruction of laminar transonic buffet
JOURNAL: Journal of Fluid Mechanics
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:

DataSets.zip, containing ".csv" (comma separated values, CSV) files in ASCII format. These CSV files correspond to several plots presented in the article, "Large-Eddy Simulations and modal reconstruction of laminar transonic buffet" published in the Journal of Fluid Mechanics, 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: 
2,4a,5a,5b,9a,9b,10a,10b,11a,11b,14,16,17a,17b,19a,19b,20a,20b,22a,22b,23a,23b,27a,27b,27c,27d,30a,30b,30c,30d,32,33a,33b,33c,33d
This information is also provided in the file "AllFigureNos.txt".

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METHODOLOGICAL INFORMATION
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Description of methods used for collection/generation of data: All numerical simulations were performed using ARCHER2 (UK National supercomputing facility) 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. 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.