A global dataset of impact forces from submarine landslides on pipelines and cables

Submarine pipelines and cables are critical infrastructure components supporting offshore energy production and global communications. These systems are increasingly at risk from submarine landslides, which can generate significant mechanical forces and compromise structural integrity. While various experimental and numerical studies have investigated the interactions between submarine landslides and pipelines or cables, their data are dispersed across disciplines and lack standardization, limiting comparative analysis. Here, we present a curated dataset comprising 864 entries of impact force parameters derived from 24 representative studies. Data were extracted through a systematic literature review covering publications from 1900 to 2025, with an emphasis on works post 2008. Each entry includes key rheological, geometric, and dynamic parameters such as impact velocity, flow type, Reynolds number, and corresponding drag and lift forces. To enhance comparability, we standardized the definitions of peak and stable forces and categorized working conditions based on Reynolds number regimes. This dataset provides a valuable resource for researchers and engineers engaged in risk assessment, offshore infrastructure design, and the modeling of pipeline-landslide interactions.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2026-01-21
DOI
https://doi.org/10.1038/s41597-026-06629-1
Primary Topic
Geological formations and processes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A global dataset of impact forces from submarine landslides on pipelines and cables

Botao Xie, Xi Chen, Xingsen Guo, Xiaolei Liu et al.
Scientific Data
Geological formations and processes
article

A global dataset of impact forces from submarine landslides on pipelines and cables

Botao Xie, Xi Chen, Xingsen Guo, Xiaolei Liu, Xiangshuai Meng, Shuzhou Wei
article en

Abstract

Submarine pipelines and cables are critical infrastructure components supporting offshore energy production and global communications. These systems are increasingly at risk from submarine landslides, which can generate significant mechanical forces and compromise structural integrity. While various experimental and numerical studies have investigated the interactions between submarine landslides and pipelines or cables, their data are dispersed across disciplines and lack standardization, limiting comparative analysis. Here, we present a curated dataset comprising 864 entries of impact force parameters derived from 24 representative studies. Data were extracted through a systematic literature review covering publications from 1900 to 2025, with an emphasis on works post 2008. Each entry includes key rheological, geometric, and dynamic parameters such as impact velocity, flow type, Reynolds number, and corresponding drag and lift forces. To enhance comparability, we standardized the definitions of peak and stable forces and categorized working conditions based on Reynolds number regimes. This dataset provides a valuable resource for researchers and engineers engaged in risk assessment, offshore infrastructure design, and the modeling of pipeline-landslide interactions.

Scientific DataVol. 13(1)
New York University Abu Dhabi (AE), University of Cambridge (GB), University College London (GB), Ocean University of China (CN), Hainan Tropical Ocean University (CN)
European Commission, Natural Science Foundation of Shandong Province, National Key Research and Development Program of China
Industry, innovation and infrastructure
Openalex Percentile: Top 85%
Geological formations and processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.