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Dataset of sound field simulations above finite absorbers

<p>The authors&#39; documentation on&nbsp;the training, validation, and testing datasets in their paper &quot;<em>Sound absorption estimation of finite porous samples with deep residual learning</em>.&quot;</p> <p>The sound fields are generated with a simplified boundary element method (BEM) of a baffled&nbsp;porous layer on a rigid backing using the Delany&ndash;Bazley&ndash;Miki model. Further information on the contents of this database can be found in <em>documentation.pdf</em>.</p> <p>More details on the models and reproduction of results of the paper using this database can be found in the GitHub repo:&nbsp;<a href="https://github.com/eliaszea/finite-absorber-ML">https://github.com/eliaszea/finite-absorber-ML</a>.&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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