University of Minnesota Twin Cities

Search results

• Giant sulfur bacteria (Beggiatoaceae) from sediments below the Benguela Upwelling System the host diverse microbiomes

  Flood, B. E. & Bailey, J., Data Repository for the University of Minnesota, Mar 4 2021

  https://hdl.handle.net/11299/219001

  Dataset

• Sample and genetic data: Muskellunge (Esox masquinongy) movement patterns and habitat use in the St. Louis River Estuary and southwestern Lake Superior

  Miller, L. M., Schaeffer, E., Pinkerton, J. & Venturelli, P. A., Data Repository for the University of Minnesota, 2019

  DOI: 10.13020/m02h-nq46, http://hdl.handle.net/11299/208285

  Dataset

• Winter oilseed pollinators in IA and MN in 2017 and 2018 in three Excel spreadsheets

  Forcella, F., Patel, S., Lenssen, A. W., Hoerning, C. A., Wells, M. S., Gesch, R. W. & Berti, M. T., Data Repository for the University of Minnesota, 2020

  DOI: 10.13020/22bd-zk88, https://conservancy.umn.edu/handle/11299/214095

  Dataset

• Understory light environment measured in 2017 and 2018 at Bagley Nature Area in Duluth, MN

  O'Connell, E. & Savage, J. A., Data Repository for the University of Minnesota, 2020

  DOI: 10.13020/mwhd-jy06, http://hdl.handle.net/11299/213803

  Dataset

• Maximum carbon assimilation model for understory wood plants growing at Bagley Nature Area in Duluth, MN

  O'Connell, E. & Savage, J. A., Data Repository for the University of Minnesota, 2020

  DOI: 10.13020/t9bg-vr86, http://hdl.handle.net/11299/213804

  Dataset

• Plant phenology, growth, freezing damage, and carbon gain data observed from 2017 to 2018 on wood plants growing at Bagley Nature Area in Duluth, MN

  O'Connell, E. & Savage, J. A., Data Repository for the University of Minnesota, 2020

  DOI: 10.13020/5dp7-5a20, http://hdl.handle.net/11299/213802

  Dataset

• Data for the published paper "Picosecond laser ablation of millimeter-wave subwavelength structures on alumina and sapphire"

  Wen, Q., Data Repository for the University of Minnesota, Jul 26 2021

  https://hdl.handle.net/11299/222253

  Dataset

• Integrated Dietary Supplement Knowledge Base (iDISK)

  Vasilakes, J. A., Rizvi, R. F., Adam, T. J., Melton-Meaux, G. B., Bishop, J. R., Bian, J., Tao, C. & Zhang, R., Data Repository for the University of Minnesota, 2019

  DOI: 10.13020/d6bm3v, http://hdl.handle.net/11299/204783

  Dataset

• Chironomid taxonomic composition from Ike's Creek, Pine Needles Creek and Arcola Mills Stream 2017-2018

  Nyquist, C., Ferrington, L. C. & Vondracek, B., Data Repository for the University of Minnesota, 2019

  DOI: 10.13020/752d-8970, http://hdl.handle.net/11299/208540

  Dataset

• Metallic line defect in wide-bandgap transparent perovskite BaSnO3

  Yun, H., Topsakal, M., Prakash, A., Jalan, B., Jeong, J. S., Birol, T. & Mkhoyan, K. A., Data Repository for the University of Minnesota, 2021

  DOI: 10.13020/c87s-tk09, https://conservancy.umn.edu/handle/11299/218011

  Dataset

• Simulating precursor steps for fibril formation in methylcellulose solutions. (Contains input and data for figures in paper)

  Sethuraman, V. & Dorfman, K., Data Repository for the University of Minnesota, 2019

  DOI: 10.13020/kkcn-8g83, http://hdl.handle.net/11299/202793

  Dataset

• Supporting data for Metallic line defect in wide-bandgap transparent perovskite BaSnO₃

  Yun, H., Topsakal, M., Prakash, A., Jalan, B., Jeong, J. S., Birol, T. & Mkhoyan, A., Data Repository for the University of Minnesota, Apr 28 2020

  DOI: https://doi.org/10.13020/c87s-tk09, https://hdl.handle.net/11299/218011

  Dataset

• Peer Reviewer: Data for Superlattice by charged block copolymer self-assembly

  Shim, J., Bates, F. S. & Lodge, T., Data Repository for the University of Minnesota, 2019

  DOI: 10.13020/qsa6-qg08, http://hdl.handle.net/11299/202441

  Dataset

• Letter Transposition Project [GELLAB 2018]

  Xiong, Y., Chen, Q. & Legge, G. E., Data Repository for the University of Minnesota, 2018

  DOI: 10.13020/D6V70K, http://hdl.handle.net/11299/200865

  Dataset

• Data files of work on LaCoO3 using VASP

  Paul, A. & Birol, T., Data Repository for the University of Minnesota, Jan 5 2020

  DOI: 10.13020/nq7t-z663, https://hdl.handle.net/11299/214916

  Dataset

• Data from: The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference

  Flagel, L. E., Brandvain, Y. J. & Schrider, D. R., Data Repository for the University of Minnesota, 2018

  DOI: 10.13020/D65M4P, http://hdl.handle.net/11299/198335

  Dataset

• Access Across America: Bike 2017 Data

  Murphy, B. A. & Owen, A., Data Repository for the University of Minnesota, 2020

  DOI: 10.13020/vebr-4a83, http://hdl.handle.net/11299/211418

  Dataset

• Mechanical and EBSD data for stress dip experiments on San Carlos olivine

  Hansen, L. N., Data Repository for the University of Minnesota, 2020

  http://hdl.handle.net/11299/217052

  Dataset

• Access Across America: Transit 2017 Data

  Tuite, M. R., Owen, A. & Murphy, B. A., Data Repository for the University of Minnesota, 2018

  DOI: 10.13020/D6G68V, http://hdl.handle.net/11299/200508

  Dataset

• Scaled Hydrokinetic Turbine Array installed in a laboratory channel and flood-like sediment transport conditions: topography, flow velocity and array model performance.

  Musa, M., Hill, C. S., Sotiropoulos, F. & Guala, M., Data Repository for the University of Minnesota, 2019

  DOI: 10.13020/353t-xm19, http://hdl.handle.net/11299/203913

  Dataset

• Sand particle kinematics under different transport conditions

  Guala, M. & Liu, M., Data Repository for the University of Minnesota, 2019

  DOI: 10.13020/8yt4-7b45, http://hdl.handle.net/11299/204778

  Dataset

• Rich Data for Wind Turbine Power Performance Analysis

  Milliren, C. & Davison, B., Data Repository for the University of Minnesota, 2019

  DOI: 10.13020/1etn-1q17, http://hdl.handle.net/11299/205162

  Dataset

• Supporting data for "3D Bioprinted In Vitro Metastatic Models via Reconstruction of Tumor Microenvironments"

  Meng, F., Meyer, C. M., Joung, D., Vallera, D. A., McAlpine, M. & Panoskaltsis-Mortari, A., Data Repository for the University of Minnesota, 2020

  DOI: 10.13020/xxnh-v194, http://hdl.handle.net/11299/213837

  Dataset

• R code and data for "Comparing multiple survey and recruitment-mortality models to assess growth rates and population projections"

  Severud, W. J., Del Giudice, G. D. & Bump, J. K., Data Repository for the University of Minnesota, 2019

  DOI: 10.13020/bd01-3547, http://hdl.handle.net/11299/208284

  Dataset

• Geospatial Benchmark

  Haynes, D. A., Data Repository for the University of Minnesota, 2019

  http://hdl.handle.net/11299/208738

  Dataset