Physical Sciences and Mathematics Commons^™

Climate Data Imputation And Quality Improvement Using Satellite Data, Kadhim Hayawi, Sakib Shahriar, Hakim Hacid

All Works

Combating climate change has emerged as a global concern recently, and meteorological data remain an important measure for analyzing and predicting climate trends. However, ground weather stations and sensors can be impacted by faults due to accidents and unreliability, often resulting in, for example, missing data and lowering the overall quality of the data. This paper explores the impact of using satellite data as an input feature for machine learning algorithms. In particular, temperature, pressure, wind speed, and global horizontal radiation data are imputed using various machine learning algorithms to overcome potential data quality issues resulting from the ground stations. …

Closing Remarks, Jay Yang

Value and Responsibility in AI Technologies

Closing remarks from director of Gonzaga's Institute for Informatics and Applied Technology, Dr. Jay Yang, with a reception to follow.

Strategic Placement Of Branding Elements In Digital Marketing: Insights From Eye-Tracking Data, Mohamed Basel Almourad, Emad Bataineh, Mohammed Hussein, Zelal Wattar

All Works

In today's media landscape, where consumers are overloaded with information and have shorter attention spans, digital marketers face significant difficulty in grabbing and holding customers' attention. This research examines how visual attention affects the processing of advertising stimuli. It does this by using eye-tracking technology to determine where branding components should be placed in digital ads to maximize processing efficiency and perceptual salience. The research shows that placing branding features strategically in the top central part of the advertisement can greatly increase visual attention and subsequent recall by analyzing fixation patterns and saccadic behavior. This result is consistent with well-known …

Necrorun, Jeremiah R. Mcdonald

SPARK Symposium Presentations

NecroRun is a fast-paced endless runner game set in a post-apocalyptic world overrun by zombies. The player must avoid obstacles, collect points, and survive as long as possible while navigating a decaying wasteland. You accrue points the longer you stay alive.

Towards Connecting Requirements With Developer Artifacts In A Local Context: Supplemental Material, Sonora Halili, Karenna Kung, Paola Spoletini, Alicia M. Grubb

Computer Science: Faculty Publications

Supplemental material for the paper: "Towards Connecting Requirements with Developer Artifacts in a Local Context"

Character Recognition For Greek Squeezes: Annotated Data, Nicholas Howe, Aaron Hershkowitz, Feiran Chang, Isabella Falbo, Tahini Brown, Maura Putzer

Data

No abstract provided.

High Flyer, Christina Clements

SPARK Symposium Presentations

I created a game for my game development class. It is a plane flying game where you have to move up and down to avoid missiles that shoot at you randomly.

Glass Delta, Manish Rami

Software

A Python script to calculate the effect size Glass' delta in a two group experiment with different standard deviation.

Raw Data For Violations Of Coordination: Exploring Metastable Diborides For Energy Storage, Michael Yeung

Chemistry Department Faculty Scholarship

The ideal aeronautical solid-state fuel should possess a high density (more thrust per Newton’s Third Law), high gravimetric heat of combustion (more energy for less weight), and a high volumetric heat of combustion (more room for mission-critical items). In this work, manganese diboride (MnB2) demonstrates a high density of 5.3 g/cm3, a high gravimetric heat of combustion of 38.30 kJ/g, and the highest volumetric heat of combustion of any known fuel of 202.99 kJ /cm3. When compared to the currently used fuel in Space Shuttle rocket boosters and the Space Launch System, aluminum metal, MnB2 represents a 100% increase in …

Pesticide Runoff From Conventional, Minimum, And No-Tillage Cropping Systems: Meta-Analysis Of Published North American Data, Daniel Fleming, Dave Spencer, Chicot Irrigation

WRRI Publications

Pesticide applications may soon be regulated by laws predicated on the presupposition that reducing tillage, and thereby increasing soil surface crop residue cover, decreases sorbed and soluble agrochemical losses in surface runoff and erosion. This analysis was conducted to determine whether pesticide transport via surface runoff and erosion could be manipulated by tillage practices. Estimates of the amounts of crop residue cover within each tillage practice were averaged from data reported in the original articles. Response ratios of the paired means of runoff, erosion, and pesticide losses and concentrations from the effects of tillage practices were meta-analyzed as paired t-tests …

Supplementary Files For: "Structure Identification For High-Dimensional Data In The Vicinity Of Bear Lake", Ben Shaw, Haley Burger, Brennan Bean, Kevin Moon

Browse all Datasets

This report focuses on seven water quality measurements taken at 43 different depths on the Bear Lake for the months of June - November in the years 2018 - 2023. These measurements create a high-dimensional dataset on which we apply state-of-the-art machine learning (ML) techniques to look for low-dimensional structure in the data. A similar effort was made for weather measurements taken near the lake. Our analysis revealed that water quality measurements tend to cluster (i.e., group together) by year, while weather measurements tend to cluster by time of the year. This suggests that the structure observed in the water …

Data Supporting "Cloud Microphysical Response To Entrainment Of Dry Air Containing Aerosols", Will Cantrell, Jae Min Yeom, Hamed F. Sadi, Jesse Anderson, Fan Yang, Raymond Shaw

Michigan Tech Research Data

Aerosol particles play a pivotal role in shaping clouds, precipitation, and climate. However, it still remains one of the significant uncertainties in climate change. While most aerosols are activated at the cloud base, the aerosol particles entrained from the cloud top or edges can also contribute to droplet formation above the base. This process might significantly impact cloud properties and lifetimes.

In this study, we investigate how entraining aerosol-laden air affects cloud microphysics by adding aerosol particles to the dry-air inflow in the Pi chamber experiments. The findings show that the cloud droplet number concentration and liquid water content increase …

Dataset Supporting The Manuscript Fire Spread, Intensity, And Emissions Observations By Multiple Satellites: The Southern California Wildfires Of January 2025, Fangjun Li, Xiaoyang Zhang, Mark Cochrane, Shobha Kondragunta, Shuai An

Global Land Surface Season Data Sets

The data is for the paper "Fire Spread, Intensity, and Emissions Observations by Multiple Satellites: the Southern California Wildfires of January 2025" which has been submitted to the journal AGU Advances.

The downloadable file contains:

• README file that provides an overview of all all supporting files and scripts.
• 12 files folders containing the data and scripts

File type : zip/application
File size :  1.2GB

Supporting Information For: "Synthesis And Characterization Of Γ-Acyloxyl-Ε-Caprolactones”, Greyson Greischar, Tapiwa Gono Phiri, Ellie Haljun, Jenna Ray, Meheret Ourgessa, Garrett Thesing, Lila Lofving, Aidan Clark, Suzanna Bator, Durwynn Jno Baptise, Wyatt Cole, Michael Itschner, Yutan D.Y.L. Getzler

Data Sets

This dataset contains the raw, unprocessed NMR data for the title compounds of the paper "Synthesis and characterization of γ-acyloxyl-ε-caprolactones” published in iScience (DOI: 10.1016/j.isci.2026.115190. NMR spectra were acquired on a JEOL-ECZS 400 MHz spectrometer in CDCl3 (Cambridge Isotope Labs, 99.8% D) and are saved in the .jdf format. Chemical structures in this document will be represented in the SMILES format. The paper details the synthesis of eight lactones, with variation of the exocyclic ester. Within this set, we consider CC(OC(CC1)CCOC1=O)=O (7-oxooxepan-4-yl acetate or γ-acetyl-ε-caprolactone) to be the parent compound. The R group pendant from the exocylic carbonyl in this …

Solar Flare Forecasting Multiple Ml And Curation Technique Study Hour-By-Hour Sharp Parameter Data Archive, Timothy S. Newman

Open Data

Hour-by-hour AR parameter data as a series of .csv files in a zip archive. Contains the "filtered" data described in the "Solar Flare Forecasting using Machine Learning (ML) and SDO/HMI Data: Multiple ML Model and Data Curation Technique Comparison Study" paper of Newman, Hall, Farris, Singh, Pogorelov, Benson, Raza, and Trital paper, 2025 submission date, for ApJS. Each file in the zip has data for one class of flares at a timepoint a certain number of hours in advance of flare onset. The first letter of such file names indicates flare class and the number before "hrs" in the title …

Usf St. Petersburg Campus Water Refill Station Inventory, Haley Mcgehee, Carolyn Mazur, Mohammad Shafeyet H. Khan, Theresa G. Burress

Student Green Energy Fund (SGEF) Water Refill Stations

Data inventory of University of South Florida St. Petersburg Campus water refill stations, accounting for presence of Elkay water refill stations, ticker numbers for bottles saved by its use, location descriptors, etc.

Usf St. Petersburg Campus Water Refill Station Inventory Readme, Carolyn Mazur, Theresa G. Burress

Student Green Energy Fund (SGEF) Water Refill Stations

ReadMe file supporting the University of South Florida St. Petersburg Campus Water Refill Station dataset.

Raw Data For Tailoring High Entropy Borides For Hydrogenation: The Influence Of Crystal Morphology And The Exploration Of Catalytic Pathways, Michael Yeung, Ting Wang

Chemistry Department Faculty Scholarship

The high entropy boride (HEB) Al0.2Nb0.2Pt0.2Ta0.2Ti0.2B2, with its unique crystal structure and high coordination (platinum coordinated to 12 borons), has been shown in our previous work to exhibit exceptional catalytic properties, especially in sulfur-rich environments, where traditional platinum catalysts would succumb to sulfur-poisoning. In this work, we investigate the mechanism of the HEB catalyst, first by comparing the synthesis by flux growth, as previously reported, to an arc melted preparation. It is evident that the aluminum flux growth synthesis encourages the growth of single crystals, with clear and defined crystal facets, whereas the arc melted sample results in poorly defined …

Raw Data For A Mild Alkaline Hydrothermal Etchant For Mbene Exfoliation, Michael Yeung

Chemistry Department Faculty Scholarship

Abstract for data:

Raw data for the journal publication, A Mild Alkaline Hydrothermal Ethant for MBene Exfoliation. ReadMe file provided.

Abstract for journal publication:

MoBene (the boride equivalent of MXenes) has been a synthetic challenge because borides degrade in common etching media. Inspired by the intercalation of lithium ions into AlOOH, we hypothesized that a hydrothermal route enables lithium ions to intercalate the aluminum layer of MoAlB and further separate the MoB sheet apart. Here, MoBene is first synthesized through a mild hydrothermal etching method with dilute lithium hydroxide. X-ray diffraction showed a peak at 8.9°, confirming an exfoliated layered …

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 …

Towards Traceability Of Git Issues And Requirements: A Four Project Extension Of Pure, Karenna Kung, Alicia M. Grubb

Computer Science: Faculty Publications

Data Description: We present a dataset of four projects, each consisting of requirements, issues, and links between issues and related requirements. Requirements were extracted from the documents for the Blit, CCTNS, Space Fractions, and WARC projects from the PURE dataset (https://zenodo.org/records/7118517), and analysts developed realistic issues and matched those issues to requirements.   This repository also contains supplemental information for the thesis: "Cluster Adjuster: Towards Traceability of Git Issues and Requirements" by Karenna Kung. Note that additional supplemental material for the thesis was previously made available at doi.org/10.35482/csc.002.2025.

Dynamics Of Thermalization In Classical Three-Dimensional Many-Body Systems: Non-Maxwellian Distributions And The Role Of Anisotropic Trapping, Roberto Onofrio, Bala Sundaram

Data and Datasets

The physics of interacting baths is of interest in a variety of contexts, ranging from ultracold atoms to ionized gases. While many features can already be captured in a one-dimensional model, others are speci c to the situation of two or three-dimensional systems. In this paper, we focus on three-dimensional features of a model for thermalization between two baths that we have explored in earlier publications. In contrast to the one-dimensional situation we show that, enroute to thermalization, deviations from the Maxwell-Boltzmann energy distributions more akin to  -distributions are observed. In three dimensions, these can be seen in changes at …

Open Path Spectroscopic Detection Of The Hydroxyl Radical: A Comparison Between Broadband Cavity-Enhanced Absorption Spectroscopy (Bbceas) And Bbceas Coupled With A Fabry-Pérot Interferometer (Bbceas-Fp), Callum Flowerday, Ryan Thalman, Matthew C. Asplund, Samuel A. Badstubner, Adam K. Cook, Philip Lundrigan, Jaron C. Hansen

ScholarsArchive Data

Data collected by the BBCEAS and BBCEAS-FP instruments described in the paper "Open Path Spectroscopic Detection of the Hydroxyl Radical: A Comparison Between Broadband Cavity-Enhanced Absorption Spectroscopy (BBCEAS) and BBCEAS coupled with a Fabry-Pérot Interferometer (BBCEAS-FP)"

Dual View Of The Z2-Gauged Xy Model In 3d, Piers Coleman, Anatoly Kuklov, Alexei Tsvelik

Publications and Research

The Z₂ gauged XY model is of long-standing interest both in the context of nematic order, and the study of fractionalization and superconductivity. This paper presents heuristic arguments that no deconfinement of the XY field occurs in this model and presents results of a large-scale Monte Carlo simulations on a cubic lattice which are consistent with this conclusion. The correlation radius determining the confinement is found to be growing rapidly as a function of the parameters in the phase featuring the nematic order. Thus, mesoscopic properties of the system can mimic deconfinement with high accuracy in some part of …

Llm-Driven Apt Detection For 6g Wireless Networks: A Systematic Review And Taxonomy, Muhammed Golec, Yaser Khamayseh, Suhib Bani Melhem, Abdulmalik Alwarafy

All Works

Sixth Generation (6G) wireless networks, which are expected to be deployed in the 2030s, have already created great excitement in academia and the private sector with their extremely high communication speed and low latency rates. However, despite the ultra-low latency, high throughput, and AI-assisted orchestration capabilities they promise, they are vulnerable to stealthy and long-term Advanced Persistent Threats (APTs). Large Language Models (LLMs) stand out as an ideal candidate to fill this gap with their high success in semantic reasoning and threat intelligence. This paper presents the first systematic review and taxonomy for LLM-assisted APT detection in 6G networks. It …

Streamlining Digital Elevation Model Construction From Historical Aerial Photographs: The Impact Of Reference Elevation Data On Spatial Accuracy, Xin Hong, Christopher H. Roosevelt

All Works

This study proposes a streamlined workflow for producing historical digital elevation models (hDEMs) from scanned 1950s aerial photographs using structure-from-motion and multi-view-stereo (SfM-MVS) techniques along with co-registration methods. We also conducted a sensitivity analysis to assess the impact of DEM references with varying spatial resolutions on the SfM-MVS process and co-registration accuracy. The DEM references included a 30 m SRTM DEM (low resolution), a 12 m TanDEM-X DEM (medium resolution), and a 5 m DEM provided by the General Directorate of Mapping of the Ministry of National Defense, Republic of T & uuml;rkiye (high resolution). Results indicate that higher resolution …

Clea Labs For Planetary Astronomy Bottled For Silicon Macintosh, Yuktha Shetty, Hansika Reddy Bandela, Jack C. Straton

Physics Faculty Publications and Presentations

Project CLEA -- CONTEMPORARY LABORATORY EXPERIENCES IN ASTRONOMY -- develops laboratory exercises that illustrate modern astronomical techniques using digital data and color images.

These Labs were developed for Windows, but the authors have bottled them for Silicon Macintosh computers.

Deep Learning Approaches For Eeg-Based Biometrics: A Systematic Review, Ali E. Albaiati, Muhammad Firdaus Akbar, Murtadha D. Hssayeni, Ashraf Khalil, Mohd Nadhir Ab Wahab, Sundus Sulaiman Weli, Enas A. Raheema

All Works

Biometics such as fingerprint, face, and iris are vulnerable to spoof attacks. The unique characteristics of Electroencephalography (EEG) make it a promising biometric modality especially because of its resistance to spoofing attacks. Many deep learning methods have been proposed for EEG-based biometric systems. This systematic review examines these methods in terms of their feature extraction ability and authentication performance. We follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to search IEEE Xplore, PubMed, Web of Science, ScienceDirect, and Springer databases. Initially, we identified 285 relevant articles published between 2018 and 2024. After removing duplicates and applying …

Augmenting, Not Replacing: The Role Of Llms In Human-Centric Formal Re: Supplemental Material, Sonora Halili, Paola Spoletini, Alicia M. Grubb

Computer Science: Faculty Publications

This repository contains the supplemental information for the RE'25 paper entitled "Augmenting, Not Replacing: The Role of LLMs in Human-Centric Formal RE" and the Smith College Departmental Honors Thesis entitled "The LTL Whisperer: Prompting AI to Explain Temporal Logic: Supplemental Information". This work investigates how and to what extent generative AI with large language models (LLMs) can assist practitioners and novices in interpreting formal requirements expressed in Linear Temporal Logic (LTL).

Clea Labs For Stellar And Cosmological Astronomy Bottled For Silicon Macintosh, Hansika Reddy Bandela, Yuktha Shetty, Jack C. Straton

Physics Faculty Publications and Presentations

Project CLEA -- CONTEMPORARY LABORATORY EXPERIENCES IN ASTRONOMY -- develops laboratory exercises that illustrate modern astronomical techniques using digital data and color images.

These Labs were developed for Windows, but the authors have bottled them for Silicon Macintosh computers.