Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons™

Open Access. Powered by Scholars. Published by Universities.®

Other

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type

Articles 121 - 150 of 2429

Full-Text Articles in Physical Sciences and Mathematics

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 Oct 2025

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

Browse all Datasets

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).


Graphrag-Enabled Local Large Language Model For Gestational Diabetes Mellitus: Development Of A Proof-Of-Concept, Edmund Evangelista, Fathima Ruba, Salman Bukhari, Amril Nazir, Ravishankar Sharma Oct 2025

Graphrag-Enabled Local Large Language Model For Gestational Diabetes Mellitus: Development Of A Proof-Of-Concept, Edmund Evangelista, Fathima Ruba, Salman Bukhari, Amril Nazir, Ravishankar Sharma

All Works

Background: Gestational diabetes mellitus (GDM) is a prevalent chronic condition that affects maternal and fetal health outcomes worldwide, increasingly in underserved populations. While generative artificial intelligence (AI) and large language models (LLMs) have shown promise in health care, their application in GDM management remains underexplored. Objective: This study aimed to investigate whether retrieval-augmented generation techniques, when combined with knowledge graphs (KGs), could improve the contextual relevance and accuracy of AI-driven clinical decision support. For this, we developed and validated a graph-based retrieval-augmented generation (GraphRAG)–enabled local LLM as a clinical support tool for GDM management, assessing its performance against open-source LLM …


Chemical Analyses Of Soil Samples, Johan Du Toit, Shantell Garrett Oct 2025

Chemical Analyses Of Soil Samples, Johan Du Toit, Shantell Garrett

Browse all Datasets

Results of chemical analyses of soil collected in the foothills of the Henry Mountains, south-central Utah, in the fall of 2020.


Plant Biomass (Dry) Per Square Meter, Johan Du Toit, Shantell Garrett Oct 2025

Plant Biomass (Dry) Per Square Meter, Johan Du Toit, Shantell Garrett

Browse all Datasets

Results of plant biomass clippings (dry mass / square meter) conducted in the foothills of the Henry Mountains, south-central Utah, over 2012-2022.


Chemical Analyses Of Grass Samples, Johan Du Toit, Shantell Garrett Oct 2025

Chemical Analyses Of Grass Samples, Johan Du Toit, Shantell Garrett

Browse all Datasets

Results of chemical analyses of grass samples collected in the foothills of the Henry Mountains, south-central Utah, in the fall of 2021.


Lagomorph Spotlight Survey Results, Johan Du Toit, Shantell Garrett Oct 2025

Lagomorph Spotlight Survey Results, Johan Du Toit, Shantell Garrett

Browse all Datasets

Results of lagomorph spotlight surveys conducted in the foothills of the Henry Mountains, south-central Utah, over 2014-2022.


Ecu-Malnett, Matthew G. Gaber, Mohiuddin Ahmed, Michael N. Johnstone Oct 2025

Ecu-Malnett, Matthew G. Gaber, Mohiuddin Ahmed, Michael N. Johnstone

Research Datasets

ECU-MALNETT (ECU MALware NETwork Traffic) is a real world, reproducible dataset of labeled benign and malicious network flows built from the Peekaboo execution corpus. Peekaboo runs evasive malware with dynamic binary instrumentation and records raw host-level PCAPs while granting full Internet access, yielding noisy, real-world captures with background OS activity and concurrent processes. To derive trustworthy labels from these traces, we apply Construct, a baseline aware, zero-trust labeling framework. Construct first ingests a baseline capture to establish reference sets (DNS qnames, HTTP hosts, TLS SNIs, and socket endpoints) and grows a conservative benign IP pool only via whitelisted DNS resolutions. …


Dataset Of Raman Spectra And Matlab Code For: Elucidating Time-Resolved Intracellular Metabolic Dynamics Via Label-Free Raman Microspectroscopy And 2d Correlation Spectroscopy, Zohreh Mirveis, Nitin Patil, Hugh J. Byrne Oct 2025

Dataset Of Raman Spectra And Matlab Code For: Elucidating Time-Resolved Intracellular Metabolic Dynamics Via Label-Free Raman Microspectroscopy And 2d Correlation Spectroscopy, Zohreh Mirveis, Nitin Patil, Hugh J. Byrne

Other Resources

This dataset contains raw spectral data obtained from single-cell Raman microspectroscopy under two nutritional conditions: glucose alone and glucose supplemented with glutamine. LLC-MK2 cells were starved for 2 h, then exposed to nutrients and fixed every 15 min for up to 120 min. At each time point, spectra were recorded from 25 individual cells (cytoplasm regions) and exported as machine-readable files (.csv). MATLAB scripts are provided to implement two-dimensional correlation spectroscopy (2D-COS) for generating synchronous maps, along with utilities for loading spectra, averaging, and reproducing key figures. A set of simulated time-series spectra used to validate 2D-COS under high background …


Data From: Nek4 Suppresses Cell Proliferation In Bt20 Triple-Negative Breast Cancer Cells By Diminishing Expression Of Cell Cycle Genes, While Its Depletion Mitigates Proliferation In Other Cell Lines, Amanda Ashley Sep 2025

Data From: Nek4 Suppresses Cell Proliferation In Bt20 Triple-Negative Breast Cancer Cells By Diminishing Expression Of Cell Cycle Genes, While Its Depletion Mitigates Proliferation In Other Cell Lines, Amanda Ashley

Chemistry & Biochemistry: Datasets

No abstract provided.


Properties Of A Class Of Analytic Functions Associated With Exponentially Convex Functions, K. R. Karthikeyan, Elangho Umadevi, G. Thirupathi, Dharmaraj Mohankumar Aug 2025

Properties Of A Class Of Analytic Functions Associated With Exponentially Convex Functions, K. R. Karthikeyan, Elangho Umadevi, G. Thirupathi, Dharmaraj Mohankumar

All Works

Studies in univalent function theory comprising the exponential of differential characterizations are rarely considered. The prominent study in this direction is the study of so-called α-exponentially convex functions. Here we study a class of analytic functions which satisfy an analytic characterization influenced by the definition of the multiplicative derivative and α-exponentially convex functions. Integral representation and coefficient inequalities of the defined function class are the main results of the paper.


Revised Draft Final Uniform Federal Policyquality Assurance Project Plan, Hydrogeologic, Inc. Jul 2025

Revised Draft Final Uniform Federal Policyquality Assurance Project Plan, Hydrogeologic, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Datasets Associated With Caballero Et Al. (2025): Sentinel-3 Coastal Analysis Ready Data (S3card): An Operational Framework For Coastal Water Applications, Cassia B. Caballero, Vitor S. Martins, Rejane S. Paulino, Thainara M. A. Lima, Elliott Butler, Eric Sparks Jul 2025

Datasets Associated With Caballero Et Al. (2025): Sentinel-3 Coastal Analysis Ready Data (S3card): An Operational Framework For Coastal Water Applications, Cassia B. Caballero, Vitor S. Martins, Rejane S. Paulino, Thainara M. A. Lima, Elliott Butler, Eric Sparks

Research Data

This dataset provides access to twelve .zip archives containing pre-processed tiles from the S3CARD (Sentinel-3 Coastal Analysis Ready Data) framework. Each archive corresponds to a 2.5° × 2.5° coastal grid that includes an AERONET-OC (Aerosol Robotic Network – Ocean Color) station used for validation in Caballero et al. (2025). The data include atmospherically corrected, glint- and adjacency-corrected surface reflectance images derived from Sentinel-3 OLCI imagery.

Each tile includes:

- 21-band surface reflectance images in GeoTIFF format (valid water pixels only)

- Metadata files with acquisition geometry and processing details

These datasets support reproducibility and enable users to evaluate the S3CARD …


Fabrication, Calibration, And Deployment Of A Home-Made Radiometer, Callum Flowerday, Ryan Thalman, Jaron Hansen Jul 2025

Fabrication, Calibration, And Deployment Of A Home-Made Radiometer, Callum Flowerday, Ryan Thalman, Jaron Hansen

ScholarsArchive Data

Subfolders and Contents:

Chamber Characterization: Contains emission spectrum measured from inside the chamber with converted spectra to power and photon flux.

LED Calibration: (Each calibration file contains folders of data from each LED used in calibration)

  • Cone
  • Cone 2
  • Dome 2
  • Flat Top
  • Quartz Rod
  • Uniform Dome

Outside:

  • Cone 2 front porch
  • Cone 2 roof
  • Flat top


Edmore And Webster Coulee Hydrologic Simulation Data, Sharhad Wainty, Taufique H. Mahmood Jul 2025

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 Jul 2025

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 Jul 2025

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 Jul 2025

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 Jul 2025

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.


Map Of The Thickness Of Ordovician Shales Across The Kentucky-Tennessee Mineral District (Ktmd), John B. Hickman, Alex M. Washburn, Georgina Lukoczki Jul 2025

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 Jul 2025

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 Jul 2025

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 …


Data Annotations, Bradley M. Ratliff Jul 2025

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.


Generation Of Non-Maxwell-Boltzmann Energy Distributions During Thermalization Of Interacting Baths, Roberto Onofrio, Bala Sundaram Jun 2025

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 Jun 2025

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 Jun 2025

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 Jun 2025

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 May 2025

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, …


Earthscape Ai Dataset V1.1, Matthew Massey, Abdullah-Al-Zubaer Imran May 2025

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 …


Exploring The Robustness Of The Effect Of Evo On Intention Valuation Through Replication: Supplemental Material, Yesugen Baatartogtokh, Kaitlyn Cook, Alicia M. Grubb May 2025

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"


Cohens_D, Manish Rami Apr 2025

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.