ArticleScientific data2024
A Georeferenced Dataset for Mapping and Assessing Subgrade Defects in China's High-Speed Railways.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- RFDD: A High-Quality Dataset based on Metrology for Fastener Defect Detection in High-Speed Railways.Scientific data · 2026Article
- A geospatial dataset of PPCPs occurrence in aquatic environments across China over the past two decades.Scientific data · 2026Article
- A Railway Network Dataset Incorporating Multi-Type Train Operation Records and Train Scheduling.Scientific data · 2025Article
- Review of Sensor-Based Subgrade Distress Identifications.Sensors (Basel, Switzerland) · 2024Review
- A Georeferenced Dataset for Mapping and Assessing Subgrade Defects in China's High-Speed Railways.Scientific data · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
China has the world's longest high-speed rail (HSR) network, marked by dense transportation and complex operations. However, frequent train use coupled with extreme weather conditions has led to rising subgrade issues. Existing railway defect records suffer from inconsistency, hindering direct applicability. Currently, there is a lack of a relevant dataset dedicated to HSR subgrade defects. To bridge this gap, we developed a comprehensive georeferenced dataset that encompasses defect records extracted from peer-reviewed literature published between 1999 and 2023 in China. Rigorous quality control procedures were implemented to eliminate duplicate data and ensure the accuracy of the dataset. The dataset consists of georeferenced records for eight different defects, spanning across 661 locations and categorized at various scales, ranging from provinces to townships. The most commonly reported defect types include subgrade settlement, frost damage, uplift deformation, and mud pumping. This dataset provides a comprehensive map of historical subgrade defects affecting high-speed railways in China. It could facilitate operational risk assessments and the prediction of subgrade performance.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.