Civil and Environmental Engineering Commons^™

Ground To Roof Snow Load Ratio (Gr) Data Release, Brennan Bean, Cooper Nelson, Jesse Wheeler, Scout Jarman, Salam Adil Al-Rubaye, Marc Maguire

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This data release provides historical ground-to-roof snow load ratio (GR) datasets used for snow load research and model development. The release includes original referenced datasets, cleaned country specific datasets, and a master dataset that combines Canadian and United States datasets into a standardized format for research and engineering applications.

Qualitative Dataset On Student Interpretation Of Automated Code Feedback And Programming Self-Efficacy, Mary Benjamin

Michigan Tech Research Data

This dataset supports a qualitative study examining how first-year engineering students interpret automated code feedback and how these interpretations relate to the development of programming self-efficacy.

The study focuses on student interactions with an automated code critiquer (WebTA) in a MATLAB-based introductory programming course. It explores how feedback influences students’ emotional responses, debugging behaviors, and confidence development.

Conceptual framing: Automated Feedback → Interpretation → Self-Efficacy Development

Cs Tools - Stormwater Management Software (Version 6.5.0), Donald V. Chase

Drainage Design Tools

The CS Tools program is an outgrowth of research conducted by the University of Dayton for CON/SPAN Bridge Systems.

Data Set, R Scripts And Script Outputs For Manuscript: Manufacturing Systems: Characteristics And Dynamics, Alan J. Fitzmorris

Graduate Research Data

This file repository contains fifteen computer-generated datasets, two naturally occurring datasets, nineteen shipbuilding shop datasets, and sixty-one concrete plant datasets.  Each data set contains subdirectories associated with various aspects of the data analysis, including stationarity analysis, dynamic system analysis, and complexity analysis.  In each case, applicable R scripts are included.  The text file entitled “Directory_and_File_Names” depicts the directory structure and associated file names for a total of 225 directories encompassing 8008 files.

Anonymized Survey Dataset On Road Safety Assessment During Construction Of Bus Rapid Transit (Brt) Corridors In Dar Es Salaam, Tanzania, Lorain Salufu

Open Data

This dataset contains anonymized survey responses collected for a study on road safety assessment during construction of the Dar es Salaam Bus Rapid Transit (BRT) Phase 3 corridor. The dataset includes responses from 400 participants, together with the survey. The data were collected to assess perceived safety conditions, adequacy of construction-phase safety measures, effectiveness of traffic diversions, and the effects of construction activities on road users and nearby communities. No personally identifiable information is included in the shared files.

Reliability Targeted Snow Loads And Winter Wind Parameters For Locations Outside Of The Conterminous United States, Brennan L. Bean, Nicholas Brimhall, Bikram Bhusal, Marc Maguire, Maha Moussa

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The national building standard ASCE 7 moved to reliability-targeted snow loads (RTSLs) in the 2022 version. This necessitates the development of RTSLs for international locations. This repository contains the data and code needed to produce RTSLs and Winter Wind Parameters for locations outside of the Conterminous United States (OCONUS). It relies on annual maximum snow loads provided in a separate data release (see Brimhall et al. 2025).

Low Head Dam Fatalities Data 1900 To August 2025, Rollin H. Hotchkiss, Edward William Kern, John Guymon, Paige A. Gordichuk

ScholarsArchive Data

This dataset documents fatalities at low head dams in the United States between 1900 and August 2025. The records were compiled between 2012 and 2025 by research assistants at Brigham Young University under the direction of Dr. Rollin Hotchkiss. Data were incorporated into the database from Dr. Bruce Tschantz, Charlie Walbridge of the American Whitewater Association, public submissions through a “Report an Incident” form, and publicly available sources, including newspaper archives and public records. Originally stored in a MySQL database and later transferred to Google Sheets, the August 2025 version was exported to Excel. The purpose of the dataset is …

Annual Maximum Snow Loads For Weather Stations Outside Of The Conterminous United States, Nicholas Brimhall, Brennan L. Bean, Marc Maguire, Bikram Bhusal, Maha Moussa

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Historical records of snow observations are critical for civil engineering, climate modeling, and risk assessment. While a robust dataset of annual maximum snow loads has been developed for the conterminous United States, a similar dataset does not exist for areas of interest in areas outside of the conterminous United States (OCONUS). This dataset contains over 280,000 annual maximum SWE values across over 7,400 OCONUS stations, both from the Global Historical Climatology-Daily (GHCND) network provided by the National Oceanic and Atmospheric Administration (NOAA) and from country-specific networks of weather stations from international meteorological agencies. This dataset will be valuable for civil …

Lead Bioaccessibility And Commonly Measured Soil Characteristics (Detroit, Mi, Usa) Phase Ii, Conor T. Gowan, Sabrina R. Good, Allison R. Harris, Patrick Crouch, Shawn P. Mcelmurry

Open Data at Wayne State

Urban soil contaminated with anthropogenic sources of Pb is a major contributor to child Pb exposure. To assess the Pb risk in urban areas, composite samples were collected from 142 voluntary privately owned 142 residential parcels in Detroit, Hamtramck, and Highland Park, Michigan. Samples were collected at two time periods, before and after treatment applied for those denoted as treatment sites. Samples were collected from areas covered with turf grass on the parcels from the front, middle and rear sections. Soils were collected with a bulb planter at approximately 10cm depth and were cleaned with a tap water-Liquinox detergent solution …

Data For: Examining The Impacts Of Demographics, Individual Experiences, And Perceptions On Range Anxiety And Electric Vehicle Road Trips, Joshua Ward, Patrick A. Singleton, Antje Graul, Zane Regan

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Electric Vehicle Road Trip Study: These data contain anonymized responses to a survey designed to investigate the experiences, perceptions, barriers, and opportunities identified by electric vehicle (EV) drivers regarding road trips to recreational areas (like national parks) and for recreational activities.

The Newgeneratortm Decentralized Wastewater Treatment System For Non-Sewered Sanitation: Technology Advancement Through Field Evaluation And Modeling, Hsiang-Yang Shyu

USF Tampa Graduate Theses and Dissertations

Non-sewered sanitation systems (NSSS) offer innovative solutions to sanitation challenges in areas lacking basic facilities, utilizing advanced treatment technologies for on-site water reuse. The NEWgenerator (NG), an advanced NSSS developed at the University of South Florida under the Bill & Melinda Gates Foundation’s Reinventing the Toilet Challenge, integrates an anaerobic membrane bioreactor (AnMBR), an ion exchange-based nutrient capture system (NCS), and an electrochlorinator for final disinfection. This study builds on previous field trials of the NG system, focusing on developing, evaluating, and optimizing its water reuse capabilities through field trials, system dynamics modeling, and advanced monitoring techniques.

In the first …

Assessing The Social, Economic, And Environmental Impacts Of A Multifunctional Crop: The Case Of Moringa Oleifera, Yoel Gebrai

USF Tampa Graduate Theses and Dissertations

Multifunctional crops have the potential to support societal goals toward more sustainable production of food, feed, and fuel. The production and processing of multifunctional crops, with their numerous uses and coproducts, is accompanied by social, economic, and environmental impacts that need to be systematically evaluated to avoid unintended consequences from widespread adoption. Complexity emerges in the presence of multifunctionality, and counterintuitive system responses can occur. As a result, this dissertation has sought to enhance and apply frameworks to assess multifunctional crop sustainability holistically. Systems thinking and life cycle approaches are applied to a multifunctional crop case study, Moringa oleifera (MO). …

Revealing Long Vehicle Dynamics: A Comprehensive Journey From Visualization Tools For Heavy Vehicles To Conversion Factors And Public Transit Performance Analysis, Eren Yuksel

USF Tampa Graduate Theses and Dissertations

Over the past few decades, there has been an increasing fascination with Intelligent Transportation Systems (ITS) and Connected and Autonomous Vehicle (CAV) technology, particularly in the realm of data collection and traffic management. Thanks to the possibilities unlocked by ITS and CAV technology, traffic data collection now serves a diverse array of safety and mobility applications, delivering real-time or near-real-time information for both road users and transportation professionals.

The integration of ITS and CAV technology is crucial for the creation of safer, more reliable, and sustainable transportation environments. As traffic-related data collection, analysis, and visualization form essential components of this …

Dataset For Article - The Analysis Of Lava Flow Path Using Remote Sensing And Geo-Morphological Techniques: The Case Of Volcano Eruptions In Afar Region Of Ethiopia, Oluwatosin Ayo, Jae Sung Kim

Michigan Tech Research Data

The lava from volcanic eruptions rapidly moves on the Earth surface and affects both natural and man-made features. The objective of this study is to develop a workflow for determining the optimal ground sample distance of a digital elevation model to delineate the lava flow paths using object-based image analysis and geomorphologic analysis. For the experiment, the satellite images and digital elevation model of Afar region of Ethiopia was used. The satellite images of the affected areas were segmented using large-scale mean shift image segmentation to find the lava objects. The main centerline of the lava object from the 2008 …

Supplementary Data For Potential For Climate-Based Financing Of Watershed Management To Restore Streams And Improve Water Quality Following A Wildfire: A Case Study Of The Provo River Watershed, Braxton W. Porter, Robert B. Sowby

ScholarsArchive Data

Data presented in Thesis Dissertation "Potential for Climate-Based Financing of Watershed Management to Restore Streams and Improve Water Quality Following a Wildfire: A Case Study of the Provo River Watershed". Provides all inputs, results, and code used in the presented analysis.

Taxonomy Of Trust And Maslow’S Hierarchy Of Needsin The Construction Industry, Ann B. Lyons, Vivek Sharma, Shima Clarke

The Professional Constructor

Trust is vital in every facet of life, enabling collaborative efforts and valuing contributions from various individuals. This is particularly true in the construction industry, where teamwork is essential for success. Prior research has consistently demonstrated that heightened trust levels significantly contribute to better project outcomes and increased client satisfaction. Despite its critical role, the construction industry has yet to adopt a structured hierarchical perspective of trust that aligns with its unique demands. This study aims to fill this gap by validating a comprehensive taxonomy of trust specifically designed for the construction sector. Through literature review, this study identifies key …

Geodatabase And Modeling Code Used For Dynamic Landslide Hazard Maps In Eastern Kentucky, Nathaniel O'Leary, L. Sebastian Bryson

Earth and Environmental Sciences Research Data

We developed spatiotemporal landslide hazard maps (LHMs) using soil, hydrologic, and geomorphic parameters from the subaerial infinite slope factor of safety (FS) equation under unsaturated conditions. Soil properties were extracted from the NRCS WSS, while geomorphic variables were derived from a 1.5 m LiDAR-based DEM and ArcGIS Online. Soil moisture from Hydrus-1D, driven by precipitation and evapotranspiration (ET) data from Irrigation Manager, introduced temporal variability. Validation against known landslide sites showed spatial and temporal FS accuracy despite some false positives. We also developed a landslide susceptibility maps (LSM) after comparing three machine learning algorithms, with bagged trees achieving the highest …

Geodatabase And Automation Code Used For Past And Real-Time Dynamic Landslide Hazard Maps In Eastern Kentucky, Nathaniel O'Leary, L. Sebastian Bryson, Jason M. Dortch

Earth and Environmental Sciences Research Data

We developed spatiotemporal landslide hazard maps (LHMs) using soil, hydrologic, and geomorphic parameters from the subaerial infinite slope factor of safety (FS) equation under unsaturated conditions. Soil properties were sourced from the NRCS WSS, while geomorphic variables were derived from a 1.5 m LiDAR-based DEM and ArcGIS Online. Soil moisture from Hydrus-1D, driven by precipitation and evapotranspiration (ET) data from Irrigation Manager, introduced temporal variability. Validation against known landslide sites demonstrated FS accuracy both spatially and temporally, despite some false positives. To reduce false positives and enhance slope stability representation, novel depth-to-bedrock (DTB) and soil root cohesion maps were incorporated …

Bridge Inspection Training And Enhanced Operations Using Augmented Reality, Fernando Moreu, Ali Mohammadkhorasani, Kaveh Malek

Data

This research project focused on the innovative application of Augmented Reality (AR) headsets to enhance bridge inspection processes and inspection training. The study encompassed the visualization of 3D point cloud data, utilized the Eye-Tracking features of AR headsets for inspection quantification, evaluate the applicability of AR in the bridge inspection training and instruction of an AR virtual menu for the in-field bridge inspection. The primary tasks included establishing a database connection for AR headset, designing an AR menu tailored for bridge inspection, devising an evaluation method based on Eye-Tracking capabilities, and integrating AR into bridge inspection training. Once the technical …

Countermeasures To Improve Pedestrian Safety On Arterials, Nicholas Ferenchak

Data

This work analyzed the pedestrian safety and overall traffic safety impacts – in terms of both motor vehicle speeds and crash outcomes – of several countermeasures applied to the Central Avenue arterial corridor in Albuquerque, New Mexico. Findings suggest that the infrastructure changes associated with a bus rapid transit (BRT) system improved traffic safety by reducing vehicle 85^th percentile speeds by 11.5% and reducing serious and fatal injuries by 60.0%. While pedestrian safety outcomes were more variable, pedestrians generally fared better on BRT segments than on control segments. The mechanism behind these improvements was traffic calming through the BRT’s …

Smart3pm: Smart Pavement Monitoring, Management, And Maintenance, Damien Stephens, Mena Souliman, Mukul Shirvaikar, Samer Dessouky

Data

An application specific multi-platform smartphone application can utilize on-board accelerometer, gyroscope, and GPS sensors, along with software derived signals from the same sensors, to sample vibrational and geolocation datasets to capture pavement distresses such as potholes when mounted in a standardized configuration in a vehicle. Several observations were made with regard to the signals obtained from the accelerometer, gyroscope, and GPS sensors, and it was determined that the raw sensor outputs are capable of sampling statistically significant datasets which can be used to distinguish pavement distress from normal driving conditions. Furthermore, an approximate sensor noise margin is established, and a …

Green Mobility In Texas: Comparative Environmental Impacts And Lifecycle Cost Analysis Of Hybrid, Electric, And Hydrogen Fuel Cell Cars, Raghava R. Kommalapati, Hongbo Du, Md Jobair Bin Alam

Data

Compared to gasoline/diesel cars and battery electric cars (BECs), hydrogen fuel cell cars (HFCCs) are relatively new. Two main advantages of HFCCs over electric vehicles are no special requirements for heavy batteries and long charging time. There is no HFCC in Texas; thus, exploring the use of electricity or hydrogen produced from renewable energies for personal cars and mitigating vehicle emissions is critical for sustaining a long-term decarburization strategy for megacities like Houston and Dallas. This project addressed this critical gap and developed environmental impacts and cost assessments for hybrid gasoline cars, BECs, and HFCCs in Texas under several possible …

Motorcycle Crash Analysis, Hatim Sharif, Samer Dessouky

Data

The Fatality Analysis Reporting System database shows that, in stark contrast to the 34 percent decline in non-motorcyclist crash–related fatalities, motorcyclist crash–related fatalities were up 86 percent with only three year-to-year declines since 1997, while non-motorcyclist crash–related fatalities had 13 year-to-year declines since 1997. At the national level, the rate of motorcyclist fatalities per vehicle mile traveled is 29 times higher than the rate among passenger car occupants, with overall injury rates approximately five times higher among motorcyclists than passenger car occupants. Given the frequency of motorcycle crashes and their staggering toll in terms of loss of life and economic …

The Effect Of Covid-19 Lockdown On Traffic Crashes In Texas., Hatim Sharif, Samer Dessouky

Data

An analysis of traffic patterns during COVID-19 has identified that reduction in the miles traveled has a significant negative correlation with COVID-19 cases and deaths across the USA. Preliminary statistics in the US suggest an increase in fatal crashes over the period of the lockdown in comparison to the same period in previous years. Moreover, while total crashes are down, motor vehicle crashes involving non-motorists became more prevalent. At the same time, non-motorist traffic has increased while motor vehicle traffic and crashes have shifted to the local systems. The main goal of this research is to perform a comprehensive evaluation …

Identifying Wrong-Way Driving Entry Points On Interstate Highways Using Land-Use Impact Assessment And 911 Calls, Farman Mia, Samer Dessouky

Data

The research aims to provide insight into the initiation event of Wrong-way Driving (WWD) on highways. The intense severity of a WWD accident is encouraging the authorities to install mitigation systems that will ensure safety for motorists on highways. The WWD events are mostly resulting of intoxicated driving, where the unconscious driver takes the wrong way to enter the highway and place other motorists into life-threatening danger. This research attempted to explore from basic knowledge of WWD occurrence to examine the origin and driving philosophy of intoxicated drivers from land-use impact and mathematical modeling point of views. To identify the …

Framework Of Internal Damage Identification In Inhomogeneous Medium Interweaving Wave Scattering Model And Deep Learning, Suyun Ham, Stefan Romanoschi, Yin Chao Wu, Dafnik Saril Kumar David

Data

The primary objective of this project is to investigate the framework of internal damage identification in inhomogeneous media (IHM) using deep learning techniques and wave scattering. The study focuses on two main steps: 1) analyzing the wave response pattern in homogeneous media (HM) and 2) characterizing the wave response variation (WRV) in IHM with different aggregate sizes and random distributions. The WRV patterns are then classified and used to predict internal damage using a convolutional neural network (CNN). The accuracy of the finite element (FE) model is verified using laboratory tests with artificial internal crack models of varying depths. The …

Stabilization Of Expansive Soil Using Geopolymers From Locally Available Resources, Anand Puppala, Miladin Radovic, Nripojyoti Biswas, Sopharith Chou, Oscar Huang

Data

Traditional calcium-based stabilizers are generally used to stabilize native expansive soils that are often found throughout Region 6. Due to their high carbon footprint, many studies are being conducted to identify a suitable green alternative for stabilizing expansive soils. Geopolymer (GP) received a lot of attention in the past few decades owing to its similar properties to that of ordinary Portland cement (OPC) yet with a lower carbon footprint. Previous studies have shown that metakaolin-based GP is an effective stabilizer to stabilize expansive soils. This study investigated the feasibility of stabilizing native expansive soils with GP synthesized with locally sourced …

Monitoring Of Transportation System Assets Using Synthetic Aperture Radar (Sar) Satellite Data, Anand Puppala, Nripojyoti Biswas, Amit Gajurel

Data

This research harnessed both high and medium resolution Synthetic Aperture Radar (SAR) data to delve into infrastructure health assessment. High resolution SAR analyses capable of identifying differences between asphalt and concrete pavement surfaces. Particularly, it was found that Normalized Radar Cross Section (NRCS) values can deftly distinguish pavement types and detect surface anomalies such as alligator cracks in asphalt ahead of conventional methods. On the other hand, Time-Series Interferometric Synthetic Aperture Radar (InSAR) insights, extracted from medium resolution SAR, established a direct linkage between environmental factors and ground deformations. Such findings were corroborated by optical images collected during May 2017 …

Eco-Driving Of Connected And Autonomous Vehicles Approaching And Departing Signalized Intersections, Xiangyu Meng, Tonmoy Sarkar

Data

Eco-driving is a driving strategy that focuses on reducing fuel consumption, carbon emissions, and improving passenger comfort through the implementation of safe and anticipatory driving strategies. One method to improve eco-driving in autonomous vehicles is the optimal control approach, which utilizes ‘Signal Phase and Time’ (SPaT) information to determine an energy-efficient trajectory for vehicles approaching and departing signalized intersections. Camera-based vision systems and deep learning techniques can be implemented to recognize the traffic signal head and its phase information, further enabling the vehicle to adapt its driving patterns for improved fuel efficiency and reduced emissions. This report reviews advancements in …

Lead Bioaccessibility And Commonly Measured Soil Characteristics (Detroit, Mi, Usa) – Phase 1, Sabrina R. Good, Allison R. Harris, Patrick Crouch, Conor T. Gowan, William D. Shuster, Shawn P. Mcelmurry

Open Data at Wayne State

Contaminated urban soil is one of the major contributors to child Pb exposure. To gain a better understanding of Pb risk in urban areas, composite samples were collected from 142 residential, privately owned, parcels in Detroit, Hamtramck, and Highland Park, Michigan, with approval from the property owners. The proximity of soil sampling and former smelter locations were also reported. Sample were collected from areas covered with turf grass. Four samples were collected, one from each cardinal direction (north, south, east, and west), 20 cm from an aluminum tent stake driven into the center of the sampling site. Soils were collected …