Evidence map›Paper›PMID 40506507›Full record

ArticleScientific data2025

Dataset on guided waves from long-term structural health monitoring under uncontrolled and dynamic conditions.

Kang Yang, Zekun Yang, Hanbo Yang, Junkai Zhou, Zhongzheng Ren Zhang, Linyuan Wang, Zhihui Tian, Sungwon Kim, Joel B Harley

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kang YangDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, 32068, USA. yang.kang@ufl.edu.ORCID 0000-0001-5655-9741
Zekun YangDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, 32068, USA.
Hanbo YangDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, 32068, USA.
Junkai ZhouDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, 32068, USA.
Zhongzheng Ren ZhangDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, 32068, USA.
Linyuan WangDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, 32068, USA.
Zhihui TianDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, 32068, USA.
Sungwon KimDepartment of Mechanical Engineering, University of Utah, Salt Lake City, 84112, USA.
Joel B HarleyDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, 32068, USA. joel.harley@ufl.edu.

Funding

National Science Foundation (NSF) EECS-1839704
6 · The paper itself

Abstract

Few studies address guided wave structural health monitoring under controlled and dynamic environments, largely due to the lack of a public benchmark dataset. To address this gap, this paper presents a public dataset from a long-term outdoor structural monitoring experiment conducted at the University of Utah, Salt Lake City. The monitoring, spanning over 4.5 years, collected approximately 6.4 million guided waves under both regular environmental variations (e.g., daily temperature changes ranging from 260.95 K (-12.2 °C) to 325.65 K (52.5 °C)) and irregular variations (e.g., rain and snow). The measured guided waves in the public dataset are also affected by sensor drift and installation shifts consistently over time. Additionally, thirteen types of damage were introduced to the monitored structure to support damage detection and severity evaluation under these conditions. The dataset includes measurement times, temperature, humidity, air pressure, brightness, and weather information to aid in damage detection. The provided public dataset aims to assist researchers in developing more practical methods for structural health monitoring in uncontrolled and dynamic environments.

Indexed as

Environmental MonitoringHumansUtahWeather

Identifiers

PMID40506507
PMCPMC12162875

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.