ReadMe for West Virginia Structural Health Monitoring Project [supporting dataset]. Strengthening Mobility and Revolutionizing Transportation (SMART) Program, U.S. Department of Transportation (USDOT) 2023-03-31 ---------------------------------------------------------------- LINKS TO DATASET ---------------------------------------------------------------- A. Dataset archive link: https://doi.org/10.21949/p5de-e334 ---------------------------------------------------------------- SUMMARY OF DATASET ---------------------------------------------------------------- West Virginia Structural Health Monitoring Project is funded by USDOT SMART (Strengthening Mobility and Revolutionizing Transportation) grant to investigate implementation of SHM technology on the East Huntington Bridge. This dataset includes all raw values for five different classes of sensor data available on the structure. Each class of data includes its own ReadMe file describing the structure of how the data is stored, how it can be accessed, and a description of the data types. ---------------------------------------------------------------- TABLE OF CONTENTS ---------------------------------------------------------------- A. General Information B. Sharing/Access & Policies Information C. Data and Related File Overview D. Methodological Information E. Data-Specific Information for: West Virginia Structural Health Monitoring F. Update Log ---------------------------------------------------------------- A. GENERAL INFORMATION ---------------------------------------------------------------- 0. Title of Dataset: West Virginia Structural Health Monitoring 1. Description of Dataset: The dataset features five main folders: accelerometer, crackmeter, displacement, tiltmeter, and weather station. These folders contain all available data corresponding to the type of sensor. The accelerometer dataset features high-resolution acceleration data for all recorded events in the sampling window. All sample points are available for each accelerometer event. All other datasets provide only the primary measurement for that event along with data related to that event. Recorded events are identified by their event ID, abbreviated '_id'. Each sensor has its own unique sensor ID or extended unique identified, abbreviated 'eui'. Datatypes provided for each sensor are described in the corresponding ReadMe files. All times are in UTC. West Virginia observes Daylight Savings time. 2. Dataset archive link: https://doi.org/10.21949/p5de-e334 Data Management Plan archive link: https://doi.org/10.48321/D1FW9C 3. Authorship Information: Data Manager Contact Information Institution: West Virginia Department of Highways Address: West Virginia Department of Transportation Building 5, 1900 Kanawha Blvd E, Charleston, WV 25305 Email: dot.info@wv.gov Data Manager Contact Information Name: Andrew Foden (ORCiD: https://orcid.org/0000-0001-6007-2143) Institution: HNTB Corporation Address: 212 Carnegie Center Dr #203, Princeton, NJ 08540 Email: afoden@hntb.com Additional Authors and Contributors: Michael Lodes Luke Dragon (ORCiD: https://orcid.org/0009-0007-4830-2816) Adi Abu-Obeidah (ORCiD: https://orcid.org/0000-0003-1734-6756) 4. Date of data collection and update interval: Grant awarded FY2022. Data collected from 1/1/2025 UTC 00:00:00 to 2/28/2025 UTC 23:59:59 5. Geographic location of data collection: East Huntington, West Virginia, United States of America 6. Information about funding sources that supported the collection of the data: This project was funded through the US Department of Transportation's "Strengthening Mobility and Revolutionizing Transportation (SMART) Program." The Grant Number is: 69A3552341035. ---------------------------------------------------------------- B. SHARING/ACCESS & POLICIES INFORMATION ---------------------------------------------------------------- 0. Recommended citation for the data: Foden, Andrew, Lodes, Michael, Dragon, Luke, Abu-Obeidah, Adi and West Virginia Department of Highways. (2025). "West Virginia Structural Health Monitoring Project [supporting dataset]". Strengthening Mobility and Revolutionizing Transportation (SMART) Program. https://doi.org/10.21949/p5de-e334 1. Licenses/restrictions placed on the data: This dataset has been released to the public domain using the Creative Commons Zero License (CC0 1.0 Universal): https://creativecommons.org/publicdomain/zero/1.0/ 2. Was data derived from another source?: No. 3. This dataset and its documentation was created and shared to meet the requirements enumerated in the U.S. Department of Transportation's "Plan to Increase Public Access to the Results of Federally-Funded Scientific Research" Version 1.1 << https://www.transportation.gov/sites/dot.gov/files/docs/Official%20DOT%20Public%20Access%20Plan%20ver%201.1.pdf >> and guidelines suggested by the DOT Public Access website << https://ntl.bts.gov/publicaccess/ >>, in effect and current as of April 10, 2019. Yes. ---------------------------------------------------------------- C. DATA & RELATED FILE OVERVIEW ---------------------------------------------------------------- This root folder contains the following five subfolders: accelerometer crackmeter displacement tiltmeter weather station Each of these subfolders contains its own ReadMe describing relevant information for that data type. ---------------------------------------------------------------- D. METHODOLOGICAL INFORMATION ---------------------------------------------------------------- 1. Description of methods used for collection/generation of data: Methods are described in each individual ReadMe. 2. Instrument- or software-specific information needed to interpret the data: None required. All data is written to CSV for easy access. To open CSV and TXT files, use Notepad++ or Notepad. ---------------------------------------------------------------- E. DATA-SPECIFIC INFORMATION ---------------------------------------------------------------- The root folder does not contain any data except subfolders and this ReadMe. Data structures vary based on the type of sensor. Each class of data includes its own ReadMe file describing the structure of how the data is stored, how it can be accessed, and a description of the data types. ---------------------------------------------------------------- F. UPDATE LOG ---------------------------------------------------------------- This ReadMeRoot file was originally created on 2025-03-12 by Luke Dragon, https://orcid.org/0009-0007-4830-2816, Bridge Engineer, ldragon@hntb.com 2025-03-12: Original file created 2025-04-08: Added DOI and citation information