Physical Sciences and Mathematics Commons^™

Environmental, Ecological, And Epidemiological Applications: Introduction To Mathematical Modeling, Suzanne Sumner

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Optimal Harvest Control Within A Predator-Prey System: A Case Study In Chesapeake Bay Fishes, Iordanka Panayotova

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Msis-Glenn: Natural Selection In Wolves Leads To Domesticated Dogs Predicted By Agent-Based Model Simulations, Alex Capaldi, David C. Elzinga

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Compartmental Modeling For The Neophyte: An Application Of Berkeley-Madonna, Olcay Akman, Siddharth Bhumpelli, Cody Cline, Christopher Hay-Jahans

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Kentucky Karst Dye Trace Database, Sarah M. Arpin, Benjamin W. Tobin, Maaz Fareedi, Adam Link, James C. Currens

Research Data--KGS

This dataset provides the geographical locations of karst groundwater basins, groundwater flowpaths, and dye injection/recovery points in Kentucky. Dye tracing is a common method used for understanding groundwater movement. Dye is poured (or injected) into a sinking stream, well, sinkhole, or body of water, where it is carried down-gradient by flowing water. The locations at which dye is recovered (typically at artesian springs) indicates a connection from injection to recovery site. This connection is refered to as a groundwater flowpath. Conducting multiple dye traces across an area allows for the interpretation of regional groundwater flow by assessing where flowpaths either …

Dataset: Marsh Migration Methodology Development For Wetland Restoration Targeting, Molly Mitchell, Karinna Nunez, Christine Tombleson, Julie Herman

Data

Coastal marsh loss is a significant issue globally, due in part to rising sea levels and high levels of coastal human activity. Marshes have natural mechanisms to allow them to adapt to rising sea levels, however, migration across the landscape is one of those mechanisms and is frequently in conflict with human use of the shoreline. Ensuring the persistence of marshes into the future requires an understanding of where marshes are likely to migrate under sea level rise and targeting those areas for conservation and preservation activities. The goal of this project was to 1) compile existing datasets and information …

Utilizing Low-Cost Sensors To Monitor Indoor Air Quality In Mongolian Gers, Callum Flowerday, Jaron C. Hansen, Phil Lundrigan, Christopher Kitras

Faculty Publications

Air quality has important climate and health effects. There is a need, therefore, to monitor air quality both indoors and outdoors. Methods of measuring air quality should be cost-effective if they are to be used widely, and one such method is low-cost sensors (LCS). This study reports on the use of LCSs in Ulaanbataar, Mongolia to measure PM_2.5 concentrations inside yurts or “gers”. Some of these gers were part of a non-government agency (NGO) initiative to improve insulating properties of these housing structures. The goal of the NGO was to decrease particulate emissions inside the gers; a secondary result …

Broadband Cavity-Enhanced Absorption Spectroscopy (Bbceas) Coupled With An Interferometer For On-Band And Off-Band Detection Of Glyoxal, Callum Flowerday, Jaron Hansen, Ryan Thalman

ScholarsArchive Data

These data are the raw data from the BBCEAS. The "data_" files are the PMT data and the "DualDetection_08_02_2023" files are the spectrograph data. The PMT data are found in column 7 of the sheet. Column 1 is the time stamp.

Nalidarturbopauseshear, Titus Yuan

Browse all Datasets

The USU Na lidar has been upgraded to be able to measure temperature and winds in the lower thermosphere up to ~ 115 km routinely. The new capability, coupled with the existing nightglow instruments at USU, enables the investigation of the extreme large wind and shears in this region and their correlation to the atmospheric gravity waves activities in the upper mesosphere.

Hydrology Data For Fern Cave, Alabama (2020-2022), Benjamin Tobin, Benjamin V. Miller, Matthew Niemiller, Andrea Erhardt

Research Data--KGS

Dataset includes water level from four sites within Fern Cave in Jackson County Alabama. Additionally, it includes chemistry of water, sediments and cave-adapted isopods.

Long Island Sound Reef Gis Data, Robert M. Cerrato, Matthew Sclafani

SoMAS Research Data

High-resolution backscatter and bathymetric maps created by multibeam sonar surveys were used to identify different seafloor bottom types within existing, potentially expanded, and newly proposed reef areas in New York waters. Existing sites included Smithtown in Long Island Sound (LIS), and Rockaway, Atlantic Beach, Hempstead, Yellowbar, Kismet, Fire Island, Twelve Mile along the South Shore. Potential expansions are proposed on the South Shore for McAllister, Moriches, and Shinnecock reefs in addition to a new site called Sixteen Fathom. In Long Island Sound, new sites are proposed for Huntington/Oyster Bay, Port Jefferson/Mount Sinai, and Mattituck. Grab samples were collected within these …

Offline Handwritten Chinese Character Using Convolutional Neural Network: State-Of-The-Art Methods, Yingna Zhong, Kauthar Mohd Daud, Ain Najiha Binti Mohamad Nor, Richard Adeyemi Ikuesan, Kohbalan Moorthy

All Works

Given the presence of handwritten documents in human transactions, including email sorting, bank checks, and automating procedures, handwritten characters recognition (HCR) of documents has been invaluable to society. Handwritten Chinese characters (HCC) can be divided into offline and online categories. Online HCC recognition (HCCR) involves the trajectory movement of the pen tip for expressing linguistic content. In contrast, offline HCCR involves analyzing and categorizing the sample binary or grayscale images of characters. As recognition technology develops, academics' interest in Chinese character recognition has continuously increased, as it significantly affects social and economic development. Recent development in this area is promising. …

South Shore Of Long Island Reef Gis Data, Robert M. Cerrato, Matthew Sclafani

SoMAS Research Data

High-resolution backscatter and bathymetric maps created by multibeam sonar surveys were used to identify different seafloor bottom types within existing, potentially expanded, and newly proposed reef areas in New York waters. Existing sites included Smithtown in Long Island Sound (LIS), and Rockaway, Atlantic Beach, Hempstead, Yellowbar, Kismet, Fire Island, Twelve Mile along the South Shore. Potential expansions are proposed on the South Shore for McAllister, Moriches, and Shinnecock reefs in addition to a new site called Sixteen Fathom. In Long Island Sound, new sites are proposed for Huntington/Oyster Bay, Port Jefferson/Mount Sinai, and Mattituck. Grab samples were collected within these …

Raw Diffraction Data For 3tel-Hlx-Darpin (Sumo), Wwpdb Id: 7n2b, Supeshala D. Nawarathnage, Parag Laljibhai Gajjar, Derick R. Bunn, Cameron Stewart, Tzanko I. Doukov, James Moody

ScholarsArchive Data

This X-ray diffraction dataset was collected on October 21Oct2020 at SSRL Beamline BL9-2. The crystal was of 3TEL-hlx-DARPin (SUMO) The solved structure used frames 1-1799 and has been deposited in the wwPDB under the PDB ID 7N2B. This data can be readily processed using XDS, AutoProc, CCP4, HKL2000/3000, or other crystallographic X-ray diffraction data processing software. The files have a human-readable header but are otherwise binary.

Raw Diffraction Data For 1tel-Aa-Vwa (Sumo), Wwpdb Id: 7n1o, Moriah H. Mathis, Braydan D. Bezzant, Diana T. Ramírez, Supeshala D. Nawarathnage, Tzanko I. Doukov, James Moody

ScholarsArchive Data

This X-ray diffraction dataset was collected on October 21Oct2020 at SSRL Beamline BL9-2. The crystal was of Batch 1 1TEL-AA-vWa (SUMO) The solved structure used frames 1-999 and has been deposited in the wwPDB under the PDB ID 7N1O. This data can be readily processed using XDS, AutoProc, CCP4, HKL2000/3000, or other crystallographic X-ray diffraction data processing software. The files have a human-readable header but are otherwise binary.

Data Supporting The Paper "Droplet Growth Or Evaporation Does Not Buffer The Variability In Supersaturation In Clean Clouds", Jesse Anderson, Ian Helman, Raymond Shaw, Will Cantrell

Michigan Tech Research Data

Water vapor supersaturation in clouds is a random variable that drives activation and growth of cloud droplets. The Pi Convection-Cloud Chamber generates a turbulent cloud with a microphysical steady-state that can be varied from clean to polluted by adjusting the aerosol injection rate. The supersaturation distribution and its moments, e.g., mean and variance, are investigated for varying cloud microphysical conditions. High-speed and co-located Eulerian measurements of temperature and water vapor concentration are combined to obtain the temporally resolved supersaturation distribution. This allows quantification of the contributions of variances and covariances between water vapor and temperature. Results are consistent with expectations …

Assessing Boil Water Notices As Health-Risk Communication: Risk Perceptions, Efficacy, And Compliance During Winter Storm Uri, Ashleigh M. Day, Sydney O'Shay, Khairul Islam, Matthew W. Seeger, Shawn P. Mcelmurry

Open Data at Wayne State

Winter Storm Uri was an extreme disaster that impacted much of the United States during February of 2021. Texas and Oklahoma were generally not prepared for such an event and experienced massive power grid failures. This led to cascading risks including water system disruptions and many boil water notices (BWNs). The breakdown of some communication channels and the inability to enact protective actions due to power outages, as well as travel limitations on public roads, complicated both dissemination and implementation. Under these conditions, a non-representative, cross-sectional, survey was collected to assess individuals experience BWNs and how perceived efficacy impacts compliance. …

Gis Data: Caroline County, Maryland – Shoreline Inventory Data 2023, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill

Data

The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.

The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shore zone into three regions:

1) the …

Gis Data: Prince George’S County, Maryland – Shoreline Inventory Data 2023, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill

Data

The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.

The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shore zone into three regions:

1) the …

Gis Data: Harford County, Maryland – Shoreline Inventory Data 2023, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill

Data

The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.

The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shore zone into three regions:

1) the …

Gis Data: Cecil County, Maryland – Shoreline Inventory Data 2023, Karinna Nunez, Tamia Rudnicky, Sharon Killeen, Jessica Hendricks, Catherine R. Duning, Evan Hill

Data

The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.

The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shore zone into three regions:

1) the …

Modeling Honeymoon And Divorce Effects In Wolbachia Control Trials Of Dengue, Casey P. O'Brien

Biology and Medicine Through Mathematics Conference

No abstract provided.

In Quest Of A Shared Planet: Negotiating Climate From The Global South, Naveeda Khan

Literary Studies

Based on the author’s eight years of fieldwork with the United Nations-led Conference of Parties (COP), In Quest of a Shared Planet offers an illuminating first-person ethnographic perspective on climate change negotiations. Focusing on the Paris Agreement, anthropologist Naveeda Khan introduces readers to the only existing global approach to the problem of climate change, one that took nearly thirty years to be collectively agreed upon. She shares her detailed descriptions of COP21 to COP25 and growing understanding of the intricacies of the climate negotiation process, leading her to ask why countries of the Global South invested in this slow-moving process …

Procedural Level Generation For A Top-Down Roguelike Game, Kieran Ahn, Tyler Edmiston

Honors Thesis

In this file, I present a sequence of algorithms that handle procedural level generation for the game Fragment, a game designed for CMSI 4071 and CMSI 4071 in collaboration with students from the LMU Animation department. I use algorithms inspired by graph theory and implementing best practices to the best of my ability. The full level generation sequence is comprised of four algorithms: the terrain generation, boss room placement, player spawn point selection, and enemy population. The terrain generation algorithm takes advantage of tree traversal methods to create a connected graph of walkable tiles. The boss room placement algorithm randomly …

Spot1328 Meira Spit, Robert C. Mahon, Elizabeth J. Trower, Benjamin P. Smith, Tyler A. Lincoln, Juliana Olsen-Valdez, John S. Magyar, Cedric J. Hagen

2D Wave Spectral Data, South Arm, Great Salt Lake, Utah

Data in this folder are produced by a SoFarOcean Spotter wave buoy deployed along the south arm of the Great Salt Lake, near Antelope Island State Park from the period of July 13, 2021 through June 28, 2022, in relatively shallow water, approximately 1.6m.

IMPORTANT NOTE: Water depths for #1328 (Miera Spit) started at ~1.7 m, but dropped rapidly to 0.9 m on July 15, 2021 and dropped further to ~0.4 m on August 17, 2021. The timing of these rapid water depth changes matches the timing of buoy location changes when the anchor was dragged inshore by waves. When …

Spot1356 Black Rock Derived Data, Robert C. Mahon, Elizabeth J. Trower, Benjamin P. Smith, Tyler A. Lincoln, Juliana Olsen-Valdez, John S. Magyar, Cedric J. Hagen

2D Wave Spectral Data, South Arm, Great Salt Lake, Utah

Data in this folder are produced by a SoFarOcean Spotter wave buoy deployed along the south arm of the Great Salt Lake, near Antelope Island State Park from the period of July 13, 2021 through June 28, 2022, in relatively shallow water, approximately 1.6m.

Spot1356 Black Rock, Robert C. Mahon, Elizabeth J. Trower, Benjamin P. Smith, Tyler A. Lincoln, Juliana Olsen-Valdez, John S. Magyar, Cedric J. Hagen

2D Wave Spectral Data, South Arm, Great Salt Lake, Utah

Data in this folder are produced by a SoFarOcean Spotter wave buoy deployed along the south arm of the Great Salt Lake, near Antelope Island State Park from the period of July 13, 2021 through June 28, 2022, in relatively shallow water, approximately 1.6m.

Spot1328 Meira Spit Derived Data, Robert C. Mahon, Elizabeth J. Trower, Benjamin P. Smith, Tyler A. Lincoln, Juliana Olsen-Valdez, John S. Magyar, Cedric J. Hagen

2D Wave Spectral Data, South Arm, Great Salt Lake, Utah

Data in this folder are produced by a SoFarOcean Spotter wave buoy deployed along the south arm of the Great Salt Lake, near Antelope Island State Park from the period of July 13, 2021 through June 28, 2022, in relatively shallow water, approximately 1.6m.

IMPORTANT NOTE: Water depths for #1328 (Miera Spit) started at ~1.7 m, but dropped rapidly to 0.9 m on July 15, 2021 and dropped further to ~0.4 m on August 17, 2021. The timing of these rapid water depth changes matches the timing of buoy location changes when the anchor was dragged inshore by waves. When …

Minions Fitness Tracker, Mohammad Hasibur Rahman

2023 MathWorks Fitness Tracker Challenge

I made a fitness tracker that counts the steps of user using their mobile device. I made this tracker using MATLAB sensor and added the sensor path with the mobile device, the tracker would count the number of steps taken by finding peaks in acceleration data.

Elizabeth River Basin Environmental Justice Indicators, Molly Mitchell, Andrew M. Scheld, Sarah Stafford, Tamia Rudnicky, Joseph Snitzer

Data

This data is a portion of the data included in the Elizabeth River Environmental Justice Tool (https://cmap22.vims.edu/EREJTool/) The Elizabeth River Environmental Justice map viewer contains a variety of layers that will help planners target vulnerable locations and populations within the Elizabeth River Watershed. This data was developed specifically to support the Elizabeth River Project’s decision making in this region.