FOAM 01: Acoustic Material

This dataset provides the data for Reference Merten Stender, Christian Adams, Mathies Wedler, Antje Grebel, and Nobert Hoffmann:Explainable machine learning determines effects on the sound absorption coefficientmeasured in the impedance tube. J. Acoust. Soc. Am. 149 (3), 2021 It consists of two csv...

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Hauptverfasser: Adams, Christian, Grebel, Antje, Wenzel, Sören, Schoder, Stefan, Kaltenbacher, Manfred
Format: Dataset
Sprache:eng
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Zusammenfassung:This dataset provides the data for Reference Merten Stender, Christian Adams, Mathies Wedler, Antje Grebel, and Nobert Hoffmann:Explainable machine learning determines effects on the sound absorption coefficientmeasured in the impedance tube. J. Acoust. Soc. Am. 149 (3), 2021 It consists of two csv files: alphas.csv: absorption coefficients vs. frequencies (comma-separated), 3079 rows accordingto 3079 measurements targets.csv: one-hot encoded, i.e., binary, vectors of the parameter combinations), 3079rows according to 3079 measurements. The Read_Me.pdf gives further information on the one-hot encoded vectors. The frequencies range from 269 Hz to 2191 Hz with resolution of 1 Hz. Note that these limits are notstrictly equal to the frequency limits of the impedance tube, see [1]. The data and code are licensed under Apache License, Version 2.0https://opensource.org/licenses/Apache-2.0  Any reuse of the data must properly cite [1] and its authors. Contact:Univ.-Prof. Dr. Christian AdamsGraz University of TechnologyInffeldgasse 16c8010 Graz, Austriachristian.adams@tugraz.at
ISSN:1520-8524
DOI:10.5281/zenodo.10551343