6dBDrop.ipynb
URL: https://data.bris.ac.uk/datasets/1u376lnlam8ac2lf0uato86zrr/6dBDrop.ipynb
From the dataset abstract
Data to support paper "Deep Learning for Ultrasonic Crack Characterization in NDE", published in IEEE Trans. Ultrason. Ferroelect. & Freq. Contr., 2020.
Source: Deep Learning for Ultrasonic Crack Characterization in NDE
Additional Information
| Field | Value |
|---|---|
| Data last updated | December 16, 2020 |
| Metadata last updated | December 16, 2020 |
| Created | December 16, 2020 |
| Format | text/plain |
| License | Non-Commercial Government Licence for public sector information |
| created | over 4 years ago |
| format | TXT |
| has views | True |
| id | 07bd0665-c5ba-4652-b955-726a2cfb6362 |
| mimetype | text/plain |
| on same domain | True |
| package id | a7d0af9b-2a73-4498-b0df-3182a70a89be |
| revision id | 382ee65f-fe81-4733-86c9-43651fae6ce9 |
| size | 2.5 KiB |
| state | active |
| type | file |