Digital Commons Network^™

The Waldo Dataset, Mary E. Koone, Rosie Kallie, Vassilis Athisos, Laurel S. Stvan

Computer Science and Engineering Datasets - Archive

Distinct from the task of predicting the author of a document (authorship attribution), we focus on addressing the issue of how to estimate the similarity between the written language styles of authors. To do so, we present a dataset of metadata derived by asking human annotators, who were presented with three documents, to identify which two were written by the same author and which was written by a different author. The dataset has over 400 such annotations, creating a companion to the Amazon Web Services (AWS) customer review dataset, laying the groundwork for crowdsourcing applications to other natural language processing …

Recombinant Hagfish Intermediate Filament Proteins Enable Neural Culture Substrates That Promote Neurite Extension And Reduce Oxidative Stress, Justin Jones, Kristin Durrant

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This dataset supports the production, characterization, and biological validation of a novel recombinant hagfish intermediate filament (rHIF) protein functionalized with spider silk motifs (rHIF-alpha-GRGGL). The data demonstrates a scalable bioprocess resulting in a 7.76 g/L yield, high structural alpha-helicity (77.2%), and significant support for N2a cells.

Spiny Dogfish (Sqaulus Acanthias) Jaw, Courtney R. Schober, Sophia R. Oliveira, David W. Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.

Resources For “Trying Something New, Redux: Revisiting The Use Adjusted Score To Evaluate A New Collection”, Jessica Minihan Rigg, Jeffrey M. Mortimore, Rachel~Anne Spencer, James Mayes, Mohammed Z. Reza

Datasets

The dataset contains a README file and assorted templates related to the study “Trying something new, redux: Revisiting the Use Adjusted Score to evaluate a new collection,” to appear in the forthcoming 2026 issue of the Charleston Conference Proceedings. See the published study for additional information, or contact the Principle Investigator. Expense information and URLs have been removed.

Privacy-Preserving Federated Feature Selection With Differential Privacy, Amir Anees, Ouns Bouachir, Safa Otoum

All Works

There is an urgent need to perform effective feature selection in distributed environments while preserving data privacy. In this paper, a new federated feature selection framework is developed to protect the privacy of input features held by multiple distributed clients, with applications in engineering systems where secure and efficient feature selection is critical in distributed environments. The proposed framework is based on federated learning and differential privacy techniques for distributed environments. The distributed clients send the noisy features’ values to the server preserving the privacy. The server then aggregates these noisy features’ values for further computations and feature selection. The …

Tiger Shark (Galeocerdo Cuvier) Jaw, Nicholas D. Burchett, Jade Mells, David W. Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.

Blue Shark (Prionace Glauca) Jaw, Nicholas D. Burchett, David W. Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.

Vegclassify: A Hybrid Deep Learning–Ndvi Greenspace Classification Tool And Gui, Huaqing Wang, Yawen Zhang, Jiaojiao Fu

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VegClassify is a hybrid, high-resolution greenspace classification tool integrating a fine-tuned deep learning model with automated NDVI threshold optimization. The tool improves accuracy and reduces subjectivity in vegetation classification using NAIP imagery. This graphical user interface (GUI) was developed to extend and simplify the use of the previously established greenspace image classification tool. The GUI provides an accessible, user‑friendly environment for running the VegClassify workflow without requiring users to interact directly with Python scripts or command‑line tools. It supports loading NAIP or other high‑resolution imagery, running deep‑learning–assisted NDVI threshold optimization, visualizing classification outputs, and exporting vegetation masks.

The underlying Python …

Polypeptide Sequence Effects On Virus Thermostability In Complex Coacervate Formulations, Pratik U. Joshi, Claire Decker, Arvind Sathyavageeswaran, Xianci Zeng, Hong Liu, Milad Kheirvari, Ebenezer Tumban, Lynn M. Manchester, Idris Tohidian, Eduardo Barbieri, Sarah L. Perry, Caryn Heldt

Michigan Tech Research Data

Current vaccine formulations heavily rely on cold chains to avoid
degradation during transportation and storage. Vaccines typically degrade
when exposure to temperature outside of 2 – 8°C range, leading to waste and
logistical challenges, particularly in rural areas. This study investigates
the ability of poly(lysine)- and poly(glutamate)-based peptide coacervates
to improve the thermal stability of porcine parvovirus (PPV), a model
non-enveloped viral vaccine. We hypothesized that both the length and
specific amino acid sequence of the peptides forming the coacervates would
influence the stability of PPV. Long polypeptides (400–800 mers) provided
significant protection, slowing PPV inactivation at 60°C for up …

Dataset For Geospatial Interpolation Of Soil Profile Depth In The Magic Valley, Idaho, Usa: Use Of Publicly Available Well Report Data, Akira Byrne, David P. Huber, Dylan Thompson, Josh Enterkine, Jennifer Pierce

Geosciences Research Data

Soil depth is critical to ecosystem productivity, acting as a reservoir for water, nutrients, and carbon. Deeper soils enhance water holding capacity to withstand droughts in native and agricultural systems, and provide more volume for long-term carbon sequestration, directly influencing soil health and climate regulation. This dataset scraped public well log (AKA well driller’s report) data from the Idaho Department of Water Resources (IDWR) to create a soil depth map across the Magic Valley in south-central Idaho, USA. Soils in this region are predominantly loess-derived silt-loams, underlain by undulating beds of basalt on top of deep rhyolite. Starting in the …

Supporting Data For Novel Approach For Quantifying The Impact Of Coherent Structures On The Turbulent Kinetic Energy Decay Rate, Tim Berk, Ankit Gautam

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This project investigates the influence of coherent structures on the decay of turbulent kinetic energy (TKE). The work was conducted as part of the PhD research in Mechanical Engineering by Ankit Gautam at Utah State University.

Review On Data Privacy And Security For Iot-Based Multifunctional Layers Of Cyber-Physical Systems In Smart Grids, Mohammad Kamrul Hasan, Md Mehedi Hasan, Nabeel Al-Qirim, Siti Norul Huda Sheikh Abdullah, Shayla Islam, Md Abdur Razzaque

All Works

Smart grid cyber-physical systems (SG-CPS) are intelligent platforms that incorporate IoT-enabled multifunctional layers including the physical, perception, communication, cyber, and application layers. It includes supervisory control and data acquisition, wide-area measurement systems, and advanced metering infrastructure for remote data aggregation, monitoring, and control operations. From an environmental perspective, these green technologies support two-way operations, which generate and transmit data over wired and wireless communication systems. However, this critical infrastructure faces data privacy and cybersecurity challenges. Hence, extensive research is required to address data privacy and security gaps to strengthen national grid cybersecurity and reduce economic losses. Therefore, this review highlights …

Predicting Evening Departure Times Of An Eastern Screech Owl (Megascops Asio) From Its Daytime Resting Site, Stephen Spotte

Florida Field Naturalist

The circadian clock of birds is cued by light, but how tightly is it set to human-devised designations of brightness? I tested this from 21 July through 2 November 2025 (n = 87 observations) by recording when an adult Eastern Screech Owl (Megascops asio) left its nestbox in the evenings at Longboat Key, a barrier island off Florida’s southwestern coast (~27° 24’ 45” N | 82° 39’ 32” W), and calculated how closely these times correlated with sunset and readings taken with a handheld off-the-shelf photometer (“luxmeter”). I also assessed whether departure times were affected by crepuscular sky condition (clear …

Passerine Birds In The Stomach Contents Of Chuck-Wills-Widows (Antrostomus Carolinensis) Deposited At The Florida Museum Of Natural History, Mia Keriazes, Preston Ballard, Marco Rego, Andrew Kratter, Glaucia Del-Rio

Florida Field Naturalist

No abstract provided.

Friends Of Ffn, Florida Field Naturalist

Florida Field Naturalist

No abstract provided.

Evolving Landscape Of Respiratory Infections And Amr In The Uae: A 12-Year Nationwide Study Of Regional Burden, Epidemiologic Trends And Policy Implications, Madikay Senghore, Jens Thomsen, Najiba M. Abdulrazzaq, Wei Chen, Eveline Kaambo, Stefan Weber, Fouzia Jabeen, Godfred Antony Menezes, Carole Ayoub Moubareck, Dean B. Everett, Abiola Senok

All Works

Objectives This study characterizes the epidemiological trends and resistance profiles of respiratory tract infections (RTIs) in the United Arab Emirates (UAE) from 2010 to 2022, aiming to inform national control strategies. Method We conducted a retrospective observational study of RTI cases across 345 UAE healthcare settings using data from the national surveillance network. Pathogen identification and resistance profiling were performed using advanced diagnostics and standardized antimicrobial susceptibility testing, in accordance with Clinical and Laboratory Standards Institute (CLSI) guidelines. Results Lower respiratory tract infections (LRI) comprised most cases (73.1%; n = 100,856), including 6416 due to Mycobacterium tuberculosis , while upper …

In What Style Shall I Confront Them? The Role Of Social Relationships In Social Correction Of Misinformation Among The Uk And Arab Social Media Users, Muaadh Noman, Mohamed B. Almourad, Ala Yankouskaya, Firoj Alam, Raian Ali

All Works

This study investigates how social factors influence the likelihood of employing direct or indirect communication styles when correcting misinformation on social media in two different cultural contexts, the United Kingdom (UK) and the Arab Gulf Cooperation Council (GCC) countries. We conducted an online survey, supported by vignettes, that involved 686 participants, 367 from the UK and 319 from the Arab GCC countries. Participants were presented with a misinformation scenario and asked about their likelihood of using direct or indirect communication styles to correct their acquaintances. The survey captured variations in gender similarity (same vs. different gender), social status (lower vs. …

Corporate Labor Violations: Do Ceos’ Public Charity Affiliations Matter?, Mariem Khalifa, Mehdi Khedmati, Mohammed Aminu Sualihu, Alfred Yawson

All Works

We examine the impact of CEOs’ public charity affiliations on corporate labor violations and find that public-charity-affiliated CEOs have a lower likelihood of engaging in labor violations than their non-affiliated peers. In a disaggregated analysis, we find the result to be driven primarily by wage and hour violations. This finding is validated when we compare changes in wage and hour violations around different types of CEO turnover. We further identify the promotion of a positive corporate culture and an increase in labor-related expenditures as the main channels through which CEOs’ public charity affiliations affect wage and hour violations. In addition, …

From Farm To Plate: Q-Analysis Of Consumer Requirements In Blockchain-Based Agri-Food Supply Chains, Pouyan Jahanbin, Stephen C. Wingreen, Ravishankar Sharma, Arnob Zahid

All Works

Blockchain platforms have revolutionized the food industry by establishing a more trustworthy supply chain. By providing a secure and open record of all transactions, blockchain technology helps improve food safety. This reassures consumers who may wish to ensure that products are guaranteed to meet certain dietary or nutritional standards. However, the adaptability of existing supply chains and consumers' full adoption of such systems remains a gap in scholarly research. This field study employs Q-methodology to explore the concourse of requirements and priorities of food consumers in blockchain-based agri-food supply chains. Abductive reasoning is utilized to elaborate on the subjective perspective …

Navigating Ethical Considerations And Implications Of Ai Chatbots In Higher Education: A Systematic Review, Ons Al-Shamaileh, Ramy Hammady, Mahmoud Abdelrahman, Omar Mubin

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This systematic review explores the ethical challenges associated with the use of AI-based chatbots in higher education, focusing on their implications for students, educators, institutions, and administrative stakeholders. Following PRISMA guidelines, peer-reviewed literature published between 2014 and 2024 was systematically identified across eight major academic databases, yielding a total of 109 eligible studies. A thematic analysis of the included literature indicates that concerns related to academic integrity are most frequently discussed, alongside recurring issues involving data privacy and security, algorithmic bias, overreliance on automated systems, and the risk of inaccurate or misleading outputs. The findings further demonstrate considerable variation in …

The Trial-Spacing Effect In Contingency Learning Depends On Both Duration And Frequency Of D Trials Intervening Between A, B, And C Trials, Dave Jiang, Jovin Huang, Kevin Artus, Rafi Arnob, James E. E. Witnauer, Robin A. Murphy, Santiago Castiello, Ralph Miller

Psychology Faculty Scholarship

The main file is the ReadMe file, with the attached additional files being data and analyses.

Atlantic Sharpnose (Rhizoprionodon Terraenovae) Chondocranium, Morgan Indyk, Sarah Hendricks, David W. Kerstetter

All Scans: Kerstetter Fisheries and Avian Ecology 3D Scan Series

No abstract provided.

Norris Burroughs, Mark Naison, Steven Payne

Oral Histories

No abstract provided.

Joseph Cordero, Mark Naison, Steven Payne

Oral Histories

No abstract provided.

Source Credibility, User Commentary, And Social Media News Sharing In The United Arab Emirates, Azza Ahmed

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In the digital age, social media (SM) platforms have changed how people access, verify, and share news. This study explores the effect of source credibility and user commentary on news-sharing behaviors among Arabs in the United Arab Emirates (UAE). Using media literacy theory, the research examines self-reported credibility-checking and how user commentary may impact news-sharing behavior. A survey of 324 respondents shows that while most use SM daily as a primary news source, nearly one-third do not share news. Therefore, the analysis includes an analytic subsample of 220 news sharers. Smartphones lead in news sharing, though usage patterns differ across …

Aspire Scholarship 2025 Learning Portfolio, Isabella Paluzzi Steele

Undergraduate Research and Engagement Symposium

This is my reflection on my PLSC 398 Engaged Learning Class - Internship in which I interned for the DC Office of Congresswoman Delia C. Ramirez.

Ueof, Nick Truong, Pritam P. Karkomar, William J. Beksi

Event-Based Vision - Archive

UEOF is the first synthetic underwater event-based optical flow dataset derived from physically-based ray-traced RGBD sequences. It was constructed using a modern video-to-event pipeline applied to rendered underwater videos. It consists of realistic event data streams with dense ground-truth flow, depth, and camera motion. The dataset is composed of 12 minutes and 51 seconds of data across 13,714 RGB frames. This results in a total of 4.94 billion events across all scenes. UEOF exhibits a high dynamic range of motion with a mean flow magnitude of 6.1 px and a median of 3.6 px. The motion distribution is heavy-tailed. While …

Obesity And The Gut Microbiota In The Middle East: A Cross-Cultural Study Of Lebanese And Emirati Adults, M. Ali Ahmad, M. Abou-Samra, E. Blaak, M. Karavetian, C. Ayoub Moubareck, K. Venema

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Obesity is a growing public health concern in the Middle East and North Africa (MENA) region, yet limited research has explored how gut microbiota varies between Arab populations. This study compared the gut microbiota composition and diversity of Emirati and Lebanese adults with obesity and assessed the role of age and nationality in shaping microbial variation. A total of 43 Emirati and 30 Lebanese individuals with obesity (body mass index (BMI) ≥35 kg/m2) were recruited. Participants provided anthropometric and biochemical data, dietary records, and stool samples for 16S rRNA sequencing. The analysis revealed significantly higher BMI, weight, and fat mass …

Hybrid 3d Modelling Framework For Indoor Navigation Using Federated Learning And Internet Of Things-Enabled Edge Devices, Noopur Tyagi, Jaiteg Singh, Saravjeet Singh, Ahmad Ali Alzubi, Farman Ali, Sukhjit Singh Sehra, Babar Shah

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Background There has been a recent trend towards using three-dimensional (3D) models to enhance spatial awareness and maximize resource utilization in complex environments. 3D building model can be used in various applications, such as real-time guidance and tracking the positions of individuals in multi storied buildings. Cities are now being modeled and studied in three dimensions as an improved method of urban planning. Method This study proposes an advanced indoor navigation framework that combines 3D modelling, federated learning (FL), and Internet of Things (IoT) integration to deliver reliable floor-level localization and real-time guidance. In Phase 1, highly accurate 3D models …

Nanobubbles For Bone-Targeted Drug Delivery: Biodistribution Imaging And Osteoporotic Therapy, Pedram Sotoudehbagha, Tristan Faze, Andres Larraza, Andres Alayon Mata, Mehdi Razavi

Research Data and Datasets

This dataset corresponds to the original data for the manuscript titled Nanobubbles for Bone-Targeted Drug Delivery: Biodistribution Imaging and Osteoporotic Therapy.