Digital Commons Network^™

Newyork_Raw_Data_06.02.2026_2, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

COAs

No abstract provided.

Newyork_Raw_Data_06.02.2026_3, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

COAs

No abstract provided.

Newyork_Raw_Data_06.02.2026_4, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

COAs

No abstract provided.

Newyork_Raw_Data_06.02.2026_5, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

COAs

No abstract provided.

Newyork_Raw_Data_06.02.2026_6, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

COAs

No abstract provided.

Newyork_Raw_Data_06.02.2026_7, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

COAs

No abstract provided.

Newyork_Raw_Data_06.02.2026_8, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

COAs

No abstract provided.

Newyork_Raw_Data_06.02.2026_9, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

COAs

No abstract provided.

Data From: Mass Mortality Of Avian Migrants In New Mexico, Usa, That Coincided With An Extreme Weather Event, Dylan M. Osterhaus, Allison J. Salas, Patricia L. Cutler, Mara E. Weisenberger, Kerry Mower, Abigail J. Lawon, Timothy F. Wright, Jeanne M. Fair, Martha J. Desmond

Fish, Wildlife, & Conservation Ecology: Datasets

No abstract provided.

Nevada_Raw_Data_06.02.2026_2, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

Nevada

No abstract provided.

New Mexico_Quality Assurance Test - All Licensees-2024-02-23.Csv, Yasha Kahn, Panduka Nagahawatte, Lori Nichols

New Mexico

No abstract provided.

Michigan_Raw_Data_06.02.26, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

Michigan

No abstract provided.

Newjersey_Raw_Data_06.02.2026, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

New Jersey

No abstract provided.

Newjersey_Raw_Data_06.02.2026_2, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

New Jersey

No abstract provided.

Newyork_Raw_Data_06.02.2026_1, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

COAs

No abstract provided.

Datum Reference Photos From Sylvester Manor Umass Boston Archaeological Work, Shelter Island, Ny, John M. Steinberg, John Schoenfelder, Chiara M. Torrini, Joseph E. Kinney, Stephen Mrozowski, David B. Landon, Nedra Lee

Data and Datasets

Photographs of site datums used during UMass Boston archaeological work at Sylvester Manor. File names contain the datum name followed by a sequential number. Each datum contains a set of multiple photographs showing its location at a near and far scale, illustrating its exact spot and place in the broader landscape, respectively. Some datums have photographs showing how the survey rod needs to be placed, and some have images that include a pin flag with the datum name written on it. Includes zipped folder.

Excavation Units From Sylvester Manor Umass Boston Archaeological Work, Shelter Island, Ny, John M. Steinberg, John Schoenfelder, Chiara M. Torrini, Joseph E. Kinney, Stephen Mrozowski, David B. Landon, Nedra Lee

Data and Datasets

Excavation units from Sylvester Manor archaeological work (1998-2025). Includes zipped polygon shapefile with outlines of excavation units.

Family Cemetery Gpr Survey Data From Sylvester Manor Umass Boston Archaeological Work, Shelter Island, Ny, John M. Steinberg, John Schoenfelder, Stephen Mrozowski, Nedra Lee, Chiara M. Torrini, Tess Ostoyich, Claire Ross, Joseph E. Kinney

Data and Datasets

The .rd7 files are the type generated by MALA GPR systems to record raw data (they are unprocessed binary data files containing the recorded electrical signals), along with .cor (coordinate data), .mrk (markers on radargrams), .mrkj (modern version of .mrk), and .rad (header file; contains survey parameters, antenna frequency, samples per trace, time window, and velocity) files. The info.dat file was derived from GPR-Slice. It is a critical ASCII text file that maps the GPR radargram filenames to their specific spatial positions. It defines the survey grid layout, including line lengths, survey direction (X or Y), and profile spacing. These …

Datums And Benchmarks From Sylvester Manor Umass Boston Archaeological Work, Shelter Island, Ny, John M. Steinberg, John Schoenfelder, Chiara M. Torrini, Joseph E. Kinney, Stephen A. Mrozowski, David B. Landon

Data and Datasets

Datums from Sylvester Manor Archaeological work (2019-2026).  Includes zipped shapefile of points and complementary csv, that includes the site areas for each datum.

Artifact Catalog From Sylvester Manor Umass Boston Archaeological Work, Shelter Island, Ny, Christa M. Beranek, Stephen Mrozowski, David B. Landon, Nedra Lee, John M. Steinberg, John Schoenfelder, Chiara M. Torrini, Joseph E. Kinney

Data and Datasets

Artifact catalog from Sylvester Manor archaeological work (1998-2025) as of May 2026. The Artifact_List.rtf is a text file listed by unit and context.  Artifact_Table.xlsx is the same data, but in tabular form.  Unit_Contexts.xlsx is a table listing all the contexts by unit.

Artifact_Table and Artifact_List are very large files.

01. Elfie, Second Edition (Novel - Ebook), Matthew Lipman

Early Elementary School Curriculum

Elfie is in the first grade and is so shy she can’t speak in class and can hardly even formulate a question. Yet little escapes her and her mind puzzles over everything that happens in class and at home. When the principal proposes a contest aimed at improving reasoning, her whole class is caught up in figuring out how sentences work and how distinctions and connections are made. At the same time, Elfie and her classmates discover many distinctions fundamental to inquiry: appearance and reality, the one and the many, parts and wholes, similarity and difference, permanence and change.

Mixed-Member Proportional Representation And The U.S. House Of Representatives: Replication Data And Code, Alex Keena

Political Science Data

The use of single-seat districts and majoritarian rules for legislative elections is associated with many problems in American politics. However, this method of electing legislators to the U.S. House of Representatives can be reformed through acts of Congress. We investigate the potential of mixed-member electoral systems, which have gained popularity among reformers for potentially providing the “best of both worlds." We review the comparative scholarship to clarify the mechanics of mixed-member systems, particularly how mixed-member proportional systems (MMP) balance the representational goals of dyadic, localized representation with proportional party representation. We model an MMP system for the House to see …

All Globe Data Sheets Zip File 2026, Globe U.S. Coordination Office

GLOBE Data Sheets

No abstract provided.

Identification Of A Rural Black Community-Based Mental Health Intervention Via Cbpr, Kirsten Mengell

College of Graduate Studies: Theses & Dissertations

Poor mental health in the US has increased since 2011 (Mental Health America, 2022). Rural communities face disparities in mental health shortages (Andrilla et al., 2018). African Americans face additional barriers, including a historical underutilization of mental health and high mental health stigma. This is significant given the higher rates of mental distress and discrimination among rural African Americans compared to Whites (James et al., 2017), and a recent increase in suicide among Black Americans (Stone et al., 2023). Illustrating a need for options within rural Black communities that can overcome professional shortages and cultural barriers to improve mental health …

Westvirginia_Raw_Data_06.03.2026, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

West Virginia

No abstract provided.

Oregon_Raw_Data_06.03.2026, Yasha Kahn, Lori Nichols, Panduka Nagahawatte

Oregon

No abstract provided.

Ansys Discovery And Fluent Files For Modeling A Hydrocyclone With Scco2 And Coal Fly Ash, Isaiah Morones, Catherine Brewer

Chemical & Materials Engineering: Datasets

No abstract provided.

Machine Learning For Wearable Sensor-Based Human Movement Rehabilitation: A Five-Year Systematic Review, Yassine Benachour, Farid Flitti, Lina Maloukh, Aicha Beya Far, Elhocine Boutellaa, Mohamed Bentoumi, Marwa Chendeb El Rai, Nour Aburaed, Khaled Ali, Moez Rehman, Sultan Mosleh, Rania Dghaim, Sadok Bouamama

All Works

Wearable-sensor-based human movement analysis is an increasingly important component of digital health and rehabilitation, enabling objective monitoring and data-driven personalization of therapy. In parallel, machine learning (ML) methods have rapidly expanded for interpreting multimodal movement signals, yet the evidence base remains heterogeneous and difficult to benchmark. This PRISMA-guided systematic review synthesizes recent ML approaches for wearable human motion analysis in rehabilitation-oriented health applications. We searched IEEE Xplore, PubMed, and Scopus for English-language studies published from 2021 to 2025 and extracted information on sensor modalities, ML task formulations and model families, dataset characteristics, validation protocols, and reported performance metrics, together with …

Edge-Aware Ris-Assisted Dynamic Channel Allocation With Lightweight Llm Decision Agent For Interference Mitigation In Low-Altitude Remote Sensing Networks, Safiya Nasser Al-Jaradi, Mohammad Kamrul Hasan, Nabeel Al-Qirim, Shayla Islam, Muhammad Attique Khan, Rashid A. Saeed, Hashim Elshafie, Bishwajeet Kumar Pandey, Khairul Akram Zainol Ariffin

All Works

Low-altitude remote sensing networks are increasingly important for applications, such as environmental monitoring, disaster response, infrastructure inspection, and real-time sensing services. However, when many sensing nodes share limited spectrum resources, severe cochannel interference can degrade communication reliability and delay sensing-data delivery. This challenge becomes more critical in edge-enabled deployments, where control decisions must be made under strict latency, memory, and computational constraints. To address this issue, this article proposes a large language model (LLM)-enhanced edge-aware lightweight reconfigurable intelligent surface (RIS)-assisted dynamic channel allocation (EL-RIS-DCA) framework for interference mitigation in dense low-altitude remote sensing networks. The novelty of the proposed framework …

Energy-Efficient Mixed-Criticality Multicore Systems, Fayyaz Ali, Saud Wasly, Amjad Ali, Shahid Iqbal, Asad Masood Khattak, Bashir Hayat, Shah Khalid

All Works

Balancing energy efficiency with stringent timing guarantees in real-time mixed-criticality systems (MCS) is a key challenge, especially in multicore architectures. This paper introduces a novel energy-aware scheduling framework that integrates dynamic voltage and frequency scaling (DVFS) with a Decreasing-Criticality-Decreasing-Utilization (DCDU) allocation approach. The optimal operating frequencies are obtained at each criticality level; high-criticality tasks are assigned to cores at full operating frequency to maintain timing guarantees, while low-criticality tasks are allocated using worst-case execution times scaled to their optimal frequency. A fixed-priority response-time analysis is used for schedulability in low mode, high mode, and during mode changes. The extensive simulations …