Physical Sciences and Mathematics Commons^™

Edmore And Webster Coulee Hydrologic Simulation Data, Sharhad Wainty, Taufique H. Mahmood

Datasets

The authors compiled a hydrologic model for the Edmore at Edmore and Edmore at Webster Coulee Basin using Cold Region Hydrologic Platform. The datasets include observed and simulated streamflow, observed climatic data, land use maps and hydrological representative unit maps (HRU) maps. This study detected a mechanism of hydrologic change to wetting using a cold region hydrologic model during 1991-2024 period.

Data Supporting The Paper "Enhancing Turbulent Mixing And Microphysical Uniformity In A Tall Convection-Cloud Chamber Through Idealized Heterogeneity Of Boundaries", Lois Thomas, Fan Yang, Aaron Wang, Mikhail Ovchinnikov, Kyle G. Pressel, Raymond Shaw

Michigan Tech Research Data

A large convection cloud chamber has been proposed for exploring aerosol–cloud–drizzle interactions under well-controlled turbulent conditions. Recent theoretical and numerical studies suggest that a convection cloud chamber with two heated and two cooled sidewalls can significantly enhance the liquid water content and thus benefit drizzle initiation. However, a chamber with such a sidewall configuration develops stable stratification and extremely weak turbulence therein. In this study, we conduct large-eddy simulations of a tall convection chamber with five different sidewall configurations consisting of alternating warm and cold patches. For each configuration, the total surface area of warm patches equals that of cold …

3d Solid Models, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

3D solid models for model vehicles, target panels, objects, and the desert terrain model in STL file format.

Ground Truth Images, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Laboratory and scenario ground truth images for the Model Desert Terrain Monochromatic DoT dataset.

Polarimetric Data: Scenario 01, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Polarimetric data Scenario 01 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.

Data Annotations, Bradley M. Ratliff

Model Desert Terrain Monochromatic DoT Dataset

Pixel-wise object masks for each polarimetric scene in ASL file format for the Model Desert Terrain Monochromatic DoT data.

Map Of The Thickness Of Ordovician Shales Across The Kentucky-Tennessee Mineral District (Ktmd), John B. Hickman, Alex M. Washburn, Georgina Lukoczki

Research Data--KGS

The deposits of critical minerals have been found in metalliferous shales. To aid in critical mineral assessments of the Ordovician Shales in the Kentucky-Tennessee Mineral District (KTMD), this research project produced a map (digital GIS dataset) of the thickness (isopach) of the combined Upper Ordovician shale interval across the region. The subsurface input data are from oil/gas well records and exploratory mineral core. Well and core records for the KTMD were acquired from the state surveys of Tennessee and Kentucky. Along with the GIS files, a summary table of the 594 well and core data points used to produce this …

Thickness Of Devonian Shale, Kentucky-Tennessee Mineral District (Ktmd), John B. Hickman, Alex M. Washburn, Georgina Lukoczki

Research Data--KGS

The deposits of critical minerals have been found in metalliferous shales. To aid in critical mineral assessments of the Devonian Shales in the Kentucky-Tennessee Mineral District (KTMD), this research project produced a map (digital GIS dataset) of the thickness (isopach) of the combined New Albany Shale/Chattanooga Shale/Ohio Shale interval across the region. The subsurface input data are from oil/gas well records and exploratory mineral core. Well and core records for the KTMD were acquired from the state surveys of Tennessee and Kentucky. Along with the GIS files, a summary table of the 6,607 well and core data points used to …

Structure On The Top Of Knox Group, Kentucky-Tennessee Mineral District (Ktmd), John B. Hickman

Research Data--KGS

The deposits of critical minerals within the Kentucky-Tennessee Mineral District (KTMD) are hosted within the Late Cambrian to Early Ordovician carbonate rocks of the Knox Group. To aid in critical mineral assessments of the region, this research project produced a map (digital GIS dataset) of the subsurface structure of the top of the Knox Group: the Knox Unconformity surface. All the input data is from oil/gas well records and exploratory mineral core records because these rocks are not exposed within the study area. Well and core records for the KTMD were acquired from the state surveys of Tennessee and Kentucky …

Generation Of Non-Maxwell-Boltzmann Energy Distributions During Thermalization Of Interacting Baths, Roberto Onofrio, Bala Sundaram

Data and Datasets

data associated with all the figures in the publication.

Usu Luminescence Lab Project 356: Durango Colorado Glacial And Fluvial Deposit Luminescence Age Results, Tammy M. Rittenour

Browse all Datasets

Luminescence dating of outwash terraces and glacial moraines. Project investigated the age of older (Bull Lake?) glacial advance sequences near Durango Colorado. Project was supervised by Dr. Jon Harvey at Fort Lewis College. Research was part of an undergraduate research project conducted by Josh Lingbloom.

High-Resolution Temperature Profiling In The Pi Chamber: Variability Of Statistical Properties Of Temperature Fluctuations, Robert Grosz, Kamal Kant Chandrakar, Raymond A. Shaw, Jesse C. Anderson, Will Cantrell, Szymon P. Malinowski

Michigan Tech Research Data

This study delves into the small-scale temperature structure inside the turbulent convection Pi Chamber under three temperature differences (10, 15, and 20 K) at Rayleigh number Ra ~ 10^9 and Prandtl number Pr = 0.7. We performed high-frequency measurements (2 kHz) with the UltraFast Thermometer (UFT) at selected points along the vertical axis. The miniaturized design of the sensor with a resistive platinum-coated tungsten wire, 2.5 μm thick and 3 mm long, mounted on a miniature wire probe, allowed for vertically undisturbed temperature
profiling through the chamber’s depth spanning from 8 cm above the bottom to 5 cm below the …

Refinement And Application Of The Absorption Cross-Section Of Molecular Bromine With Relevance To Atmospheric Chemistry, Callum Flowerday, Ryan Thalman, Jaron C. Hansen, Eric T. Sevy, Jason J. Sorensen, Matthew C. Asplund

ScholarsArchive Data

Defined Br2 XS - is the defined absorption cross-section using the UVvis spectrophotometer.

BBCEAS - This is raw absorption data measured using the BBCEAS (see article for details).

UVvis raw - This is the raw absorption data measured using the UVvis spectrophotometer.

Symmetry Induced Pairing In Dark Excitonic Condensate At Finite Temperature, Adham Alkady, Anatoly Kuklov

Publications and Research

Bose Einstein condensate of dark intervalley excitons must be inherently multi-component because of crystalline symmetries. Since valleys hosting such excitons are separated by large quasi-momenta, a minimal inter-component Josephson-type coupling can only be established between pairs of excitons from the time-reversed valleys. As a result, a paired condensate can emerge at finite temperature, that is, the off-diagonal order exists for the pairs from the time-reversed valleys, while the individual valleys are disordered. This prediction follows from the elementary mean field analysis regardless of the dimensionality. However, as Monte Carlo simulations show, no such a phase exists in 3D crystals. Instead, …

Exploring The Robustness Of The Effect Of Evo On Intention Valuation Through Replication: Supplemental Material, Yesugen Baatartogtokh, Kaitlyn Cook, Alicia M. Grubb

Computer Science: Faculty Publications

Supplemental material for the paper: "Exploring the Robustness of the Effect of EVO on Intention Valuation through Replication"

Earthscape Ai Dataset V1.1, Matthew Massey, Abdullah-Al-Zubaer Imran

Research Data--KGS

EarthScape v1.1 Dataset Download Links:

esv1p1_smokeset.zip (197 MB)

esv1p1_splits.zip (2.5 MB)

esv1p1_usa_ky_data.zip (1 MB)

esv1p1_usa_ky_hardin_howevalley.zip (26.3 GB)

esv1p1_usa_ky_hardin_sonora.zip (26.3 GB)

esv1p1_usa_ky_warren.zip (166 GB)

Surficial geologic mapping is essential for understanding Earth surface processes and supporting applications in engineering, hazard assessment, and resource management. However, traditional mapping approaches are labor-intensive, limiting spatial coverage and introducing subjectivity. To address these challenges, we introduce EarthScape, a multimodal, AI-ready geospatial dataset designed for surficial geologic mapping and Earth surface analysis. EarthScape integrates high-resolution aerial RGB and near-infrared (NIR) imagery, digital elevation models (DEM), multi-scale terrain features derived from DEMs, and hydrologic and infrastructure vector …

Cohens_D, Manish Rami

Software

This Python script calculates the effect size Cohen's d in a two group situation with known means and Standard Deviations.

Use this effect size if the sample size in your experiment is large and the two SDs are similar.

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 …

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"

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.

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 …

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 …

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 …

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).