DRUM - Digital Repository at the University of Maryland

DRUM collects, preserves, and provides public access to the scholarly output of the university. Faculty and researchers can upload research products for rapid dissemination, global visibility and impact, and long-term preservation.

 
Submit to DRUM

Submit to DRUM

To submit an item to DRUM, login using your UMD credentials. Then select the "Submit Item to DRUM" link in the navigation bar. View DRUM policies and submission guidelines.
Equitable Access Policy

Equitable Access Policy

The University of Maryland Equitable Access Policy provides equitable, open access to the University's research and scholarship. Faculty can learn more about what is covered by the policy and how to deposit on the policy website.
Theses and Dissertations

Theses and Dissertations

DRUM includes all UMD theses and dissertations from 2003 forward.

List of Communities

Collections Organized by Department

UM Community-managed Collections

Recent Submissions

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Measurements of boulders ejected in the Double Asteroid Redirection Test (DART) impact
(2025-01-17) Farnham, Tony
This data collection contains tables that provide measurements of the positions and brightnesses of meter-sized boulders that were ejected when the Double Asteroid Impact Test (DART) spacecraft crashed into Dimorphos, the moon of asteroid (65803) Didymos on September 26, 2022. The measurements come from the LICIACube Unit Key Explorer (LUKE) instrument on board the LICIACube spacecraft that flew by the Didymos system about 3 minutes after the impact event. The positions table provides the pixel locations of each boulder in the images where it was detected, while the photometry table gives the brightness for each boulder in each of the images where it was measured.
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Quantum-Enhanced Forecasting: Leveraging Quantum Gramian Angular Field And CNNs for Stock Return Predictions
(2024) Bapanapalli, Abhinav; Mahmud, Ateef; Nadig, Chiraag; Thakker, Krish; Jabeen, Shabnam
Predicting stock price movements is a complex challenge faced by many traders and analysts. Our research leverages Quantum Gramian Angular Field (QGAF) transformations combined with Convolutional Neural Networks (CNNs) to classify stock price trends as "up" or "down." By transforming 1D time-series stock data into 2D images, we enable CNNs to extract features more effectively, showcasing the potential of quantum machine learning in financial forecasting.
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DNA Barcoding Module in Undergraduate Biology Courses: A Comparative Analysis on Student Learning
(2025-01-14) Kraemer, Jenna; Craig, Helen; Brucchieri, Amanda; Helbling, Yasmine; Lamp, William
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Social Support and Trans Communities in Maryland: Implications for Social Support and Bereavement Resources, Policies, and Practices
(Trans Maryland, 2025-01) Pease, M Valle; Trovato, Karoline J.; Clements, Zakary A.; Galupo, M. Paz
The Maryland Trans Survey is a community-based research project conducted by Trans Maryland and the Queer/Trans Collective for Research on Equity and Wellness examining experiences of trans people in the State of Maryland in areas such as health and healthcare, employment and economic wellbeing, and legal and policy experiences. To date, it is the largest survey of trans people in the State, with 750 trans people representing all 23 counties in Maryland and Baltimore City. Data were collected from June to December 2023 through in-person and online community outreach. The project was approved by Towson University’s Institutional Review Board (Protocol #1897) and used Transgender Research Informed Consent (TRICON) Disclosures to provide trans community members with additional transparency on the project, recognizing long histories of harmful practices in trans research from scientific institutions. This brief contains data on experiences of social support among trans communities from the Maryland Trans Survey. This brief also discusses research implications for social support and bereavement resources, policies, and practices so that advocates, policymakers, and community organizations can better understand and address the current needs of trans people in Maryland.
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Experiences with Police and Emergency Response Services among Trans People in Maryland
(Trans Maryland, 2025-01) Howerton, Isabelle; McMichael, Kierstin; Clements, Zakary A.; Pease, M Valle; Galupo, M. Paz
The Maryland Trans Survey is a community-based research project conducted by Trans Maryland and the Queer/Trans Collective for Research on Equity and Wellness examining experiences of trans people in the State of Maryland in areas such as health and healthcare, employment and economic wellbeing, and legal and policy experiences. To date, it is the largest survey of trans people in the State, with 750 trans people representing all 23 counties in Maryland and Baltimore City. Data were collected from June to December 2023 through in-person and online community outreach. The project was approved by Towson University’s Institutional Review Board (Protocol #1897) and used Transgender Research Informed Consent (TRICON) Disclosures to provide trans community members with additional transparency on the project, recognizing long histories of harmful practices in trans research from scientific institutions. This brief contains information regarding experiences with police and emergency response systems from the project for advocates, policymakers, and community-serving entities to better understand and support the current needs of trans people in Maryland.