xy_notch.mat
URL: https://data.bris.ac.uk/datasets/2o82rzo6d5ly32h7msblzq4y8v/6dB_Drop_Functions/xy_notch.mat
From the dataset abstract
Supporting data and code for paper "Interpretable & Explainable Machine Learning for Ultrasonic Defect Sizing" to be published in IEEE Transactions on Ultrasonics, Ferroelectrics and...
Source: Interpretable & Explainable Machine Learning for Ultrasonic Defect Sizing/6dB_Drop_Functions
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Additional Information
| Field | Value |
|---|---|
| Data last updated | January 28, 2023 |
| Metadata last updated | January 28, 2023 |
| Created | January 28, 2023 |
| Format | application/octet-stream |
| License | Non-Commercial Government Licence for public sector information |
| created | over 1 year ago |
| format | BIN |
| id | edeb6a1c-8ea9-41e3-b934-32234c6a45b4 |
| mimetype | application/octet-stream |
| on same domain | True |
| package id | be8264e6-53bb-4c5f-a201-88061ec7c211 |
| position | 1 |
| revision id | 48f23c02-f469-4ab2-a543-b530b7f6ed4b |
| size | 247 bytes |
| state | active |
| type | file |