Tools to read the windtunnel data from a paper by Alex Vergara and colleagues [1]. The data is available from the UCI Machine Learning Repository (Direct link).
This repository is a stripped-down and Python 3 compatible version of plumy, the code that came with [2], which is available on github.
[1] A. Vergara, J. Fonollosa, J. Mahiques, M. Trincavelli, N. Rulkov, and R. Huerta, “On the performance of gas sensor arrays in open sampling systems using Inhibitory Support Vector Machines,” Sensors and Actuators B: Chemical, vol. 185, pp. 462–477, Aug. 2013, doi: https://dx.doi.org/10.1016/j.snb.2013.05.027.
[2] M. Schmuker, V. Bahr, and R. Huerta, “Exploiting plume structure to decode gas source distance using metal-oxide gas sensors,” Sensors Actuators B Chem, vol. 235, pp. 636–646, Nov. 2016, doi: https://dx.doi.org/10.1016/j.snb.2016.05.098.