Digital Commons Network^™

Southern Studies, University Of Mississippi. Center For The Study Of Southern Culture

University Website Migration from WordPress

No abstract provided.

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.

The Damage Assessment Of 2019 Eurobodalla Shire Wildfire To The Endangered Ecological Communities Using Change Detection And Object-Based Classification, Dylan Anderson, Jae Sung Kim

Michigan Tech Research Data

The data for the project - "The Damage Assessment of 2019 Eurobodalla Shire Wildfire to the Endangered Ecological Communities Using Change Detection and Object-Based Classification"

Etsu 125 - Chapter I Website Archive (Html), Committee For 125, East Tennessee State University

ETSU 125 - Chapter I: Events, News, and Resources

This submission contains a copy of the ETSU 125 - Chapter I website (formerly https://www.etsu.edu/125-chapter-1/) as it existed in September of 2025. The file contains a zipped folder with the combined HTML/CSS data from each portion of the archived site. The HTML can be opened in a web browser. The links contained within archived webpages may no longer be active. Many of the documents originally contained within the website can now be found in Digital Commons.

The ETSU 125 - Chapter I site has also been archived in the Internet Archive's Wayback Machine.

Item 5: Final Project: Civic Leadership: Theories And Practice, Kara Dillard

Kara Dillard, Civic Leadership: Theories and Practice

Understanding the experiences of real-life civic leaders can help students learn and become civic leaders themselves. This final group project will ask students to identify and interview a local civic leader about their work, challenges, opportunities, and threats. Students will use course material to thematically assess the interview answers and develop new insights about civic leadership.

Item 6: Assignment 1: Deliberating Across Divides To Find Common Ground, Kara Dillard

Kara Dillard, Civic Leadership: Theories and Practice

Many students struggle to engage in conversations with people who hold different views. Fear of saying the wrong thing—or being “canceled”—can discourage open dialogue, yet democratic societies rely on the ability to deliberate across divides. This assignment gives students the opportunity to practice deliberation, a structured way of discussing complex, “wicked” issues while fostering mutual understanding, respect, and hopefully finding common ground to act together. Following the deliberation, students will write a reflection analyzing their experience, exploring what they learned from listening to diverse perspectives, and how civic leaders can use deliberation to foster productive dialogue in divided communities.

Administration And Faculty, University Of The Pacific, Mcgeorge School Of Law

University of the Pacific Law Review

No abstract provided.

The History Of Mcgeorge School Of Law’S California Victims Resource Center, Mariam El-Menshawi

University of the Pacific Law Review

No abstract provided.

Data Supporting The Manuscript : Assessing Global Wildfire Seasonality Variations Using Daily Satellite Data From 2001 To 2022, Ruixuan Li, Xiaoyang Zhang, Fangjun Li, Yongchang Ye, Shuai An, Aihua Zhu

Global Land Surface Season Data Sets

Description of the dataset: This dataset is for the paper "Assessing Global Wildfire Seasonality Variations Using Daily Satellite Data from 2001 to 2022". The datasets contain the global 0.25-degree grid daily mean FRP value from 2001-2022 (grouped by year).
The datasets originated from Blended Global Biomass Burning Emissions Product-Extended (GBBEPx), which can also be found at https://www.ospo.noaa.gov/products/land/gbbepx/.

File size: 563 MB
File type: .zip / .netCDF
Last updated: 2026-05-15

Cardiogenic Shock With Acute Myocardial Infarction Among Older Adults In The United States, Taha Mansoor, Ali Bin Jabbar, Mahmoud Ismayl, Dylan Yu, Kartik Gupta, Sachin Parikh, Austin Brubaker, Abdul Minhas, Dmitry Abramov, Salim S. Virani

Population Health, East Africa

Background: Characteristics and outcomes associated with cardiogenic shock (CS) with acute myocardial infarction (AMI) in older patients have not been well characterized.

Objectives: The purpose of this study was to investigate characteristics and outcomes of older patients admitted with CS with AMI.

Methods: We used the National Inpatient Sample database to evaluate clinical characteristics of hospitalizations, clinical outcomes, and health care utilization of hospitalizations of older patients ≥80 years with CS and AMI from 2003 to 2021. We also compared data from older patients with a reference relatively younger patient population (18-79 years).

Results: During the study period, …

Low Head Dam Fatalities Data 1900 To August 2025, Rollin H. Hotchkiss, Edward William Kern, John Guymon, Paige A. Gordichuk

ScholarsArchive Data

This dataset documents fatalities at low head dams in the United States between 1900 and August 2025. The records were compiled between 2012 and 2025 by research assistants at Brigham Young University under the direction of Dr. Rollin Hotchkiss. Data were incorporated into the database from Dr. Bruce Tschantz, Charlie Walbridge of the American Whitewater Association, public submissions through a “Report an Incident” form, and publicly available sources, including newspaper archives and public records. Originally stored in a MySQL database and later transferred to Google Sheets, the August 2025 version was exported to Excel. The purpose of the dataset is …

General Studies, University Of Mississippi. Office Of General Studies

University Website Migration from WordPress

No abstract provided.

Lsmamp Image Program, University Of Mississippi. Lsmamp

University Website Migration from WordPress

LSMAMP = Louis Stokes Mississippi Alliance for Minority Participation, University of Mississippi; IMAGE = Increasing Minority Access to Graduate Education

Dataset On Bulk Geochemistry From Johnston Draw Borehole At Reynolds Creek Critical Zone Observatory, Kathleen A. Lohse, Mark Seyfried, Brad Carr

Reynolds Creek Critical Zone Observatory Data

A borehole to 90m was drilled in 2019 at Johnston Draw in the Reynolds Creek Critical Zone Observatory. Major and trace elements were analyzed via X-ray fluorescence (Johnson et al., 1999) and Inductively Coupled Plasma Mass Spectrometry (ICP MS) (Knaack et al. 1994), respectively, at the WSU Peter Hooper GeoAnalytical Lab. Major The depth intervals are included as well as normalized and unnormalized data.

Dataset On Physical Properties From Johnston Draw Borehole At Reynolds Creek Critical Zone Observatory, Nicholas Patton, Kathleen A. Lohse

Reynolds Creek Critical Zone Observatory Data

A borehole to 90m was drilled in 2019 at Johnston Draw in the Reynolds Creek Critical Zone Observatory in SW Idaho, USA. Physical attributes of select borehole depth intervals were were separated into coarse (> 2mm) and fine fraction (< 2 mm) size. The coarse fraction was analyzed for rock density. The fine fraction was analyzed for color, effervescence, and particle size distribution.

Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2018, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2018. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2018_PV_existing_site_metadata.csv file for individual site metadata.

Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2014, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2014. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2014_PV_existing_site_metadata.csv file for individual site metadata.

Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2014, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2014 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory's Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata

Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2021, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2021 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory's Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata

Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2022, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2022 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory's Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata

Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2022, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2022. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2022_PV_existing_site_metadata.csv file for individual site metadata.

Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2017, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2017. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2017_PV_existing_site_metadata.csv file for individual site metadata.

Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2018, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2018. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2018_PV_existing_site_metadata.csv file for individual site metadata.

Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2022, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2022. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2022_PV_existing_site_metadata.csv file for individual site metadata.

Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2015, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2015 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory's Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata

Hourly Simulated Power Production Data With No Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2021, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2021. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2021_PV_existing_site_metadata.csv file for individual site metadata.

Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2013, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2013 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory's Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata

Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2017, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2017 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory's Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata

Hourly Simulated Power Production Data With No Snow Loss Model At Queued Utility-Scale Pv Sites Simulated As Single-Axis Tracking Systems In The U.S. Eastern Interconnection For Weather Year 2020, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Using 2020 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory's Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata

Hourly Simulated Power Production Data With Snow Loss Model At Existing Utility-Scale Pv Sites (>5 Mw) In The U.S. Eastern Interconnection In 2015, Shelbie Wickett, Ana Dyreson

Simulated Solar Capacity Including Snow Cover in the Eastern U.S.

Project Summary: We ran PySAM power production simulations for utility-scale (>5 MW) PV sites located in the U.S. Eastern Interconnection in the year 2015. Site panel mounts (fixed-tilt or single-axis tracking), capacities, and locations (latitudes and longitudes) were extracted from Lawrence Berkeley National Laboratory's Utility-Scale Solar 2024 Edition dataset. See 2015_PV_existing_site_metadata.csv file for individual site metadata.