Data associated with Assessing the importance of sediment characterization on seabed embedment predictions of cylindrical objects
Abstract
Literature data collected for the purpose of prediction and analysis of embedment statistics of a cylindrical object in a generalized setting. Files in this dataset include data from literature, matlab codes, and processed data as images. A Table of Contents is placed at the start to help navigate the contents and their location.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 21 July 2026
- Document type
- Dataset