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The University Digital Conservancy is home to open access articles, institutional documents, dissertations, datasets, university produced publications, campus newspapers, podcasts & more. Learn about the UDC.
- Openly share and provide access to your publications and scholarly works through the University's Open Access to Scholarly Articles policy.
- Publish, share, and preserve your digital data for long-term access and future use in the Data Repository.
- Make your thesis or dissertation openly accessible to share your work.
- Preserve core institutional documents and university publications as part of the University of Minnesota Archives.
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Recent Submissions
GennaRose Nethercott Events (2022-11-08 and 2022-11-09)
(2022-11) University of Minnesota Duluth. Research, Scholarship, and Creative Activities Subcommittee
Minnesota Co-operative in Planning: Proposed Graduate Workshop, Certificate, and Co-op Models
(2025-06-06) Verkuilen , Emma; Mfinanga, Rashid; Lowisz, Kate; Pacheco, Shelley; Kennett, Conor; Salas, Shoua
Is it our Race or our Place? Examining Differences in College Enrollment Using the Blinder-Oaxaca Decomposition Method
(2025-06-06) Constantine, Sally
College enrollment is a key driver of economic mobility, yet persistent disparities by race and high school locale raise critical questions about access to postsecondary education. Using nationally representative data from the High School Longitudinal Study of 2009 (HSLS:09), this paper employs a linear probability model and the Blinder-Oaxaca Decomposition method to examine how race and high school locale influence college enrollment among Black and White non-Hispanic students. The findings indicate that racial identity plays a more significant role than high school locale in explaining differences in college enrollment. To remedy disparities, policies should emphasize expanding college readiness resources,
restoring consideration of race in college admissions, and improving support for students in urban and historically marginalized communities.
Optimizing population simulations to accurately parallel empirical data for digital breeding
(2025-06-05) Burns, Michael J; Della Coletta, Rafael; Mikel, Mark A; Fernandes, Samuel B; Bohn, Martin O; Lipka, Alexander E; Hirsch, Candice N; cnhirsch@umn.edu; Hirsch, Candice; Hirsch Lab
This dataset contains the genome-wide association study (GWAS) output used to simulate traits across environments. The GWAS output includes single nucleotide polymorphisms and imputed structural variants for a population of hybrids that were developed from crosses of 333 maize recombinant inbred lines. The GWAS data includes results for each of four traits (ear height, plant height, grain moisture, and grain yield), which were measured in four to eleven environments. Marker effect sizes from this GWAS were used to simulate the same hybrids that were used to conduct the GWAS in order to assess the accuracy of the simulations and determine concordance between simulated phenotypes and empirical data.
UMD News (1990-01-09) "Time Out" - Racism and Diversity Convocation at UMD
(1990-01-09) University of Minnesota, Duluth. UMD News