Digital Commons Network^™

2021 Second Quarter Laboratory Edd, Environmental Protection Agency, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2021 2q Btl Chem Dump, Environmental Protection Agency, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2021 2q Btl Daily Pts Field Dump, Environmental Protection Agency, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2019 - 2021 Wsssou Data For Gis, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Electronic Data Wssou For Dsr, Environmental Protection Agency, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

10578145, Pioneer Technical Services, Inc., Environmental Protection Agency

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2021 Btl O&M Events Log / 2021 Daily Log, Pioneer Technical Services, Inc., Environmental Protection Agency

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2021 3q Laboratory Edds, Pioneer Technical Services, Inc., Environmental Protection Agency

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2021 3q Btl Chemdump, Pioneer Technical Services, Inc., Environmental Protection Agency

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2021 3q Btl Daily Pts Field Dump, Environmental Protection Agency, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

10585806 Edd, Pioneer Technical Services, Inc., Environmental Protection Agency

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

10577877 Edd, Environmental Protection Agency, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Microplastics: Water And Oyster Data For The Indian River Lagoon, Linda Walters, Casey Craig

CEELAB Research Data

Microplastic (MP) abundances in surface waters and tissues of the oyster Crassostrea virginica were examined for one year in the Indian River Lagoon (IRL), a 251-km long estuary on the east coast of central FL, USA to better understand spatial and temporal variability. A total of 3755 MP were found in 44% of lagoon-wide water samples. Mean density (± CI) was 1.47 ± 0.09 MP/L. Central IRL sites had the lowest MP abundance, while the south had the most, likely associated with proximity to urbanization, inlets (MP sinks) and tributaries (MP sources). More MP were found in water …

Replication Data For: A Closer Look At Underground Natural Gas Pipeline Leaks Across The United States, Younki Cho, Kathleen M. Smits, Nathaniel L. Steadman, Bridget A. Ulrich, Clay S. Bell, Daniel J. Zimmerle

Earth & Environmental Sciences Datasets - Archive

Underground natural gas (NG) pipeline leakage can result in methane (CH₄) buildup and migration through the soil. What is not well understood in such scenarios is how the soil conditions affect the gas migration behavior, particularly in regard to the relative contributions of specific soil properties such as soil moisture content. The objective of this study was to investigate the effects of soil properties on CH₄ concentration and migration from leaking underground NG pipelines. Site characteristics such as surface cover and spatial dimensions, soil samples, and gas concentration data were collected from over 70 gas leakage sites …

Replication Data For: Investigating Detection Probability Of Mobile Survey Solutions For Natural Gas Pipeline Leaks Under Different Atmospheric Conditions, Shanru Tian, Stuart Riddick, Younki Cho, Clay Bell, Daniel Zimmerle, Kathleen Smits

Earth & Environmental Sciences Datasets - Archive

The 2015 Paris agreement aims to cut greenhouse gas emissions and keep global temperature rise below 2 °C above pre-industrial levels. Reducing CH4 emissions from leaking pipelines presents a relatively achievable objective. While walking and driving surveys are commonly used to detect leaks, the detection probability (DP) is poorly characterized. This study aims to investigate how leak rates, survey distance and speed, and atmospheric conditions affect the DP in controlled belowground conditions with release rates of 0.5–8.5 g min−1. Results show that DP is highly influenced by survey speed, atmospheric stability, and wind speed. The average DP in Pasquill–Gifford stability …

Development Of A Machine Learning-Based Model To Determine The Optimum And Safe Restriping Timing Of Thermoplastic Pavement Markings In Hot And Humid Climates, Momen R. Mousa, Marwa Hassan

Data

Due to limited budget, most transportation agencies restripe their thermoplastic pavement markings based on a fixed schedule or based on visual inspection instead of monitoring the retroreflectivity and restriping when the retroreflectivity drops below a pre-determined threshold. These strategies are questionable in terms of efficiency and economy. Therefore, previous studies proposed degradation models to predict the retroreflectivity of thermoplastic markings based on key variables. Yet, most of these studies reported low R² (as low as 0.1), which placed little confidence in these models. Therefore, the objective of this study was to evaluate and predict the field performance of thermoplastics …

A Deep Learning Tool For The Assessment Of Pavement Smoothness And Aggregate Segregation During Construction, Mostafa Elseifi, Ramchandra Paudel, Md Tanvir Ahmed Sarkar, Hossam Abohamer, Nirmal Dhakal

Data

Pavement construction monitoring and quality assurance (QA) practices are mostly based on costly, discrete, and destructive methods. Most quality assurance programs are based on pavement construction procedures encompassing in-situ coring for layer thickness determination, density measurements, laboratory testing to measure volumetric properties, and smoothness measurements in case of the availability of a profiler. The main objective of this study was to develop a machine learning-based classifier for predicting pavement roughness and aggregate segregation based on digital image analysis, image recognition, and deep learning machine models. The developed Convolution Neural Networks (CNN) models were trained, tested, and validated using 600-pavement surface …

Performance Monitoring Leveraging Advanced Ai Technique With Cnn, Suyun Ham Ph.D, Stefan Romanoschi, Yin Chao Wu, Dafnik Saril Kumar David, Sanggoo Kang

Data

The main goal of this project is to study and develop a reliable nondestructive testing (NDT)-based structural performance prediction model framework leveraging the advanced machine learning convolutional neural network (CNN) technique and rapid crack evaluation system. There are two steps of application CNN technique in this project: 1) the first step is to identify delamination, noise, and the unexpected signal produced by the existing damage identification algorithm to improve the accuracy of NDT results. The input image or training data of NDT data for CNN is comprehensively studied with several features, such as the duration of the signal, the starting …

Landscape Tree Irrigation Calculator, Shital Poudyal

All Current Publications

Trees, undoubtedly, are the most valuable plant in a landscape and must be prioritized for irrigation in drought conditions. Grass easily recovers from a period of long drought; hence, it must be placed last on the priority list for irrigation. Many resources are available online that explain ways to irrigate landscape trees. However, growers and homeowners in Utah are still confused about quantifying and applying the appropriate amount of water a landscape tree needs. This Excel spreadsheet is an irrigation calculator designed to determine the amount of water a landscape tree needs in Utah’s hot and dry summer months. Find …

Herd Hours Data, Sean P. Mcbride, Sachiko Mcbride

Physics Data

This file contains data on the use of "Herd Hours" in introductory physics classes. The data has been deidentified in accordance with requirements of Marshall University Institutional Review Board #2 (Social/Behavioral), study number 1704687.

Data Supporting: Scaling Of Turbulence And Microphysics In A Convection-Cloud Chamber Of Varying Height, Subin Thomas, Fan Yang, Mikhail Ovchinnikov, Will Cantrell, Raymond Shaw

Michigan Tech Research Data

The file contains the data corresponding to the figures in the paper. Abstract for the paper: The convection-cloud chamber enables measurement of aerosol and cloud microphysics, as well as their interactions, within a turbulent environment under steady-state conditions. Increasing the size of a convection-cloud chamber, while holding the imposed temperature difference constant, leads to increased Rayleigh, Reynolds and Nusselt numbers. Large-eddy simulation coupled with a bin microphysics model allows the influence of increased velocity, time, and spatial scales on cloud microphysical properties to be explored. Simulations of a convection--cloud chamber, with fixed aspect ratio and increasing heights of H=1, 2, …

Alma Link Resolver Title & Issn Report (Top 500) 2021-2022, Andrée J. Rathemacher

Technical Services Reports and Statistics

Statistics for 2021-2022 on the total number of OpenURL requests by journal title and ISSN made to the Ex Libris Alma link resolver for items held by the University of Rhode Island Libraries. Includes only the top 500 journals.

Information provided includes journal Title, ISSN, EISSN, Number of Requests, Number of Clicked Requests, % Clicks from Requests.

Alma Link Resolver Material Type Report 2021-2022, Andrée J. Rathemacher

Technical Services Reports and Statistics

Statistics for 2021-2022 on the number of OpenURL requests by material type made to the Ex Libris Alma link resolver for items held by the University of Rhode Island Libraries.

Information provided includes Material Type, Number of Requests, Number of Clicked Requests, and % Clicks from Requests.

Alma Link Resolver Referring Sources Report 2021-2022, Andrée J. Rathemacher

Technical Services Reports and Statistics

Statistics from 2021-2022 on the number of OpenURL requests made to the Alma link resolver for items held by the University of Rhode Island Libraries.

Information provided includes Source, Number of Requests, Number of Clicked Requests, % Clicks from Requests.

Alma Link Resolver Subject Report 2021-2022, Andrée J. Rathemacher

Technical Services Reports and Statistics

Statistics for 2021-2022 on the number of OpenURL requests by Library of Congress classification code made to the Ex Libris Alma link resolver for items held by the University of Rhode Island Libraries.

Information provided includes Classification Code, Classifications, Number of Requests, Number of Clicked Requests, and % Clicks from Requests.

High Tunnel Construction Cost Calculation Workbook, Shannon Rauter, Melanie Stock, Brent Black, Dan Drost

All Current Publications

The cost of building a high tunnel fluctuates over time with supply prices. This Excel workbook accompanies the USU Extension fact sheet, "Constructing a Low-cost High Tunnel" by Black, Drost, Rowley, and Heflebower (2011) and allows users to input local supply costs. The workbook then calculates the cost to build a USU low-cost high tunnel with several design options according to high tunnel length and door structure. It also provides an example calculation based on April 2022 pricing for reference.

2022-06-22 Selected Data From University Enrollment From 1923-2020, David Ace, Christian Wright

Morehead State College Histories

Enrollment data from 1923-2020 for Morehead State University, compiled from various sources by David Ace, charts and supplemental data formatting by Christian Wright.

Hydrodynamic Limitations To Mangrove Seedling Retention In Subtropical Estuaries, Kelly M. Kibler, Christian Pilato, Linda Walters, Melinda Donnelly, Jyotismita Taye

Flow-biota Interaction and Natural Infrastructure Design

Mangrove forest sustainability hinges upon propagule recruitment and seedling retention. This study evaluates biophysical limitations to mangrove seedling persistence by measuring anchoring force of two mangrove species (Rhizophora mangle and Avicennia germinans). Anchoring force was measured in 362 seedlings via lateral pull-tests administered in mangrove forests of two subtropical estuaries and in laboratory-based experiments. Removal mechanism varied with seedling age: newly-established seedlings failed due to root pull-out while seedlings older than 3 months failed by root breakage. Anchoring force of R. mangle seedlings was consistently and significantly greater than A. germinans (GLM: p = 0.002), however force to …

Replication Data For "Estimating Methane Emissions From Underground Natural Gas Pipelines Using An Atmospheric Dispersion-Based Method", Shanru Tian, Kathleen M. Smits, Younki Cho, Stuart Riddick, Daniel Zimmerle, Aidan Duggan

Earth & Environmental Sciences Datasets - Archive

Methane (CH₄) leakage from natural gas (NG) pipelines poses an environmental, safety, and economic threat to the public. While previous leak detection and quantification studies focus on the aboveground infrastructure, the analysis of underground NG pipeline leak scenarios is scarce. Furthermore, no data from controlled release experiments have been published on the accuracy of methods used to (1) quantify emissions from an area source and (2) use these emissions to quantify the size of a subsurface leak. This proof-of-concept work uses CH₄ mole fraction, as measured by a single gas sensor, as an input to a simple …

2021 Bpsou Subdrain Electronic Database, Pioneer Technical Services, Inc., Atlantic Richfield Company, Environmental Protection Agency

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.