READ ME File For 'Dataset for Low-order modelling and sensor-based prediction of stalled airfoils at moderate Reynolds number' Dataset DOI: 10.5258/SOTON/***** ReadMe Author: D. W. Carter, University of Southampton [0000-0001-8675-1849] This dataset supports the publication: AUTHORS: D. W. Carter, B. Ganapathisubramani TITLE: Low-order modelling and sensor-based prediction of stalled airfoils at moderate Reynolds number JOURNAL: AIAA Journal DOI: https://doi.org/10.2514/1.J062475 This dataset is available on request, complete the form at https://library.soton.ac.uk/datarequest This dataset contains: MATLAB files with pressure and velocity fields for all experiments presented in the manuscript. In addition, the original MATLAB figure files are included. The datset storage is as follows: Experimental test cases are stored in folders as SSSS_AA where 'SSSS' is the airfoil shape and 'AA' is the angle of attack. Each case contain five run folders e.g. run 1 is labeled 'R01'. Each run folder contains instantaneous fields stored as 'S*.mat' with u,v, and p corresponding to the streamwise velocity, cross-stream velocity, and pressure fields respectively in sequential order. In addition, a 'stats' folder is included with statistical fields and masks. Two masks are included, one 'mask.mat' corresponding to the airfoil cross section and one 'o_mask.mat' corresponding to the data that is visually occluded at the measurement plane. The figures are as follows: Fig. 1 Diagram of the experimental setup Fig. 2 Mean surface pressure coefficients for NACA 0012 cases Fig. 3 Mean velocity, turbulent kinetic energy, and pressure fields for the NACA 0012 cases Fig. 4 Mean velocity, turbulent kinetic energy, and pressure fields for the NACA 65-410 cases Fig. 5 Premultiplied lift coefficient power spectral densities Fig. 6 POD coefficients and their temporal and singular value spectra Fig. 7 First three spatial velocity modes for all cases Fig. 8 Synthetic model for the NACA 65-410 in deep stall Fig. 9 Synthetic model for the NACA 65-410 in transient stall Fig. 10 Error metrics of low order reconstruction based on LSE and xLSE Fig. 11 Example POD coefficients comparing the reconstruction fidelity of LSE and xLSE Date of data collection: July 2020 Licence: CC BY Date that the file was created: September 2022