University of Minnesota Twin Cities

Search results

• JSON files.zip

  Babiker, O., Ellingsen, S. Å., Shen, L., Xuan, A., Bjerkebæk, I., Ellingsen, S. Å., Technology, N. U. O. S. A., Grants, E. R. C., Research, O. O. N. & Foundation, N. S., DataverseNO, 2023

  DOI: 10.18710/zojhgj/e6qxnd, https://dataverse.no/file.xhtml?persistentId=doi:10.18710/ZOJHGJ/E6QXND

  Dataset

• Effects_of_Polls_H2log.txt

  Toff, B. & Toff, B., Harvard Dataverse, 2019

  DOI: 10.7910/dvn/x7nksl/ctnvbx, https://dataverse.harvard.edu/file.xhtml?persistentId=doi:10.7910/DVN/X7NKSL/CTNVBX

  Dataset

• Tables.do

  Gandhi, J., Sumner, J., Sumner, J., Gandhi, J. & Sumner, J. L., Harvard Dataverse, 2019

  DOI: 10.7910/dvn/fb3o9w/iskctt, https://dataverse.harvard.edu/file.xhtml?persistentId=doi:10.7910/DVN/FB3O9W/ISKCTT

  Dataset

• Using knowledge-guided machine learning to assess patterns of areal change in waterbodies across the contiguous U.S.: Data

  Wander, H. L., Farruggia, M. J., Fuente, R. S. L., Korver, M. C., Chapina, R. J., Robinson, J., Bah, A. R., Munthali, E., Ghosh, R., Stachelek, J., Khandelwal, A., Hanson, P. C. & Weathers, K. C., ZENODO, May 23 2023

  DOI: 10.5281/zenodo.7963296, https://zenodo.org7963296

  Dataset

• Octopus bimaculoides visually-evoked prey capture

  Bidel, F. & Wardill, T., ZENODO, Feb 20 2023

  DOI: 10.5061/dryad.j9kd51cgg, https://zenodo.org/record/7659059

  Dataset

• Sussundenga malaria risk

  Searle, K., Ferrao, J., Earland, D. & Anisio, N., Dryad, Sep 11 2023

  DOI: 10.5061/dryad.79cnp5hx1, https://datadryad.org/stash/dataset/doi:10.5061/dryad.79cnp5hx1

  Dataset

• Data from: Predicting and measuring decision rules for social recognition in a Neotropical frog

  Tumulty, J., Fouilloux, C., Goyes Vallejos, J. & Bee, M., ZENODO, Jan 1 2023

  DOI: 10.5281/zenodo.5765788, https://zenodo.org/record/5765788

  Dataset

• Shear-induced dilation, dike formation and melt segregation during mush deformation [DATA]

  Ryan, A., Hansen, L., Dillman, A., Pistone, M., Zimmerman, M. & Williams, S., Mendeley Data, Jul 4 2024

  DOI: 10.17632/tw3bbz62ws.1, https://data.mendeley.com/datasets/tw3bbz62ws

  Dataset

• Replication Data for: Redistributing Power: land reform, rural cooptation, and grassroots regime institutions in authoritarian Taiwan

  Luo, K. & Luo, K., Harvard Dataverse, 2023

  DOI: 10.7910/dvn/lnzc6f, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/LNZC6F

  Dataset

• Data files associated with "Lung Mediated Auditory Contrast Enhancement Improves the Signal-to-Noise Ratio for Communication in Frogs"

  Lee, N., Christensen-Dalsgaard, J., White, L., Schrode, K. & Bee, M., Mendeley Data, Mar 4 2021

  DOI: 10.17632/9d35jf2zjz.1, https://data.mendeley.com/datasets/9d35jf2zjz

  Dataset

• Data for EMSL Project 47733 from February 2023

  Hess, N., Dohnalkova, A., Lea, S., Alford, K., Minard, K., Pasa-Tolic, L., Orr, G., Pakrasi, H., Baker, S., Olson, H., Hoyt, D., Hixson, K., Norbeck, A., Stacey, G., Robinson, A., Ansong, C., Markillie, L. M., Washton, N., Aldrich, J., Tringe, S., Sadowsky, M. & Ferrieri, R., Environmental Molecular Sciences Laboratory, 2023

  DOI: 10.25582/data.2023-02.2746086/2386602, https://www.osti.gov/servlets/purl/2386602/

  Dataset

• Data for EMSL Project 48096 from January 2020

  Hess, N., Baker, S., Robinson, E., Robinson, A., Kistler, H. & Schmidt-Dannert, C., Environmental Molecular Sciences Laboratory, 2020

  DOI: 10.25582/data.2020-01.1933718/2390881, https://www.osti.gov/servlets/purl/2390881/

  Dataset

• Data for EMSL Project 48096 from January 2020

  Hess, N., Baker, S., Robinson, E., Robinson, A., Kistler, H. & Schmidt-Dannert, C., Environmental Molecular Sciences Laboratory, 2020

  DOI: 10.25582/data.2020-01.1933964/2390865, https://www.osti.gov/servlets/purl/2390865/

  Dataset

• Data for EMSL Project 47733 from February 2023

  Hess, N., Dohnalkova, A., Lea, S., Alford, K., Minard, K., Pasa-Tolic, L., Orr, G., Pakrasi, H., Baker, S., Olson, H., Hoyt, D., Hixson, K., Norbeck, A., Stacey, G., Robinson, A., Ansong, C., Markillie, L. M., Washton, N., Aldrich, J., Tringe, S., Sadowsky, M. & Ferrieri, R., Environmental Molecular Sciences Laboratory, 2023

  DOI: 10.25582/data.2023-02.2746641/2386606, https://www.osti.gov/servlets/purl/2386606/

  Dataset

• Data for EMSL Project 47733 from February 2023

  Hess, N., Dohnalkova, A., Lea, S., Alford, K., Minard, K., Pasa-Tolic, L., Orr, G., Pakrasi, H., Baker, S., Olson, H., Hoyt, D., Hixson, K., Norbeck, A., Stacey, G., Robinson, A., Ansong, C., Markillie, L. M., Washton, N., Aldrich, J., Tringe, S., Sadowsky, M. & Ferrieri, R., Environmental Molecular Sciences Laboratory, 2023

  DOI: 10.25582/data.2023-02.2747235/2386598, https://www.osti.gov/servlets/purl/2386598/

  Dataset

• Comparison of daily activity patterns across seasons using GPS telemetry and camera trap data for a widespread mammal

  Wolfson, D., ZENODO, May 8 2023

  DOI: 10.5281/zenodo.7908800, https://zenodo.org/record/7908800

  Dataset

• Papers and patents are becoming less disruptive over time

  Funk, R. J., Park, M. & Leahey, E., ZENODO, Oct 27 2022

  DOI: 10.5281/zenodo.7258379, https://zenodo.org/record/7258379

  Dataset

• Effects_of_Polls.tab

  Toff, B. & Toff, B., Harvard Dataverse, 2019

  DOI: 10.7910/dvn/x7nksl/qfasf9, https://dataverse.harvard.edu/file.xhtml?persistentId=doi:10.7910/DVN/X7NKSL/QFASF9

  Dataset

• Raw data of Cedar Creek Experiment

  Rodgers, A. H., Strike, M. J., Cervera, B. B. & Ducosin, G., ZENODO, 2023

  DOI: 10.5281/zenodo.8136781, https://zenodo.org/record/8136781

  Dataset

• Discrimination in hiring: Evidence from retail

  Benson, A., Board, S. & Meyer-ter-vehn, M., ZENODO, Jun 2 2023

  DOI: 10.5281/zenodo.7996656, https://zenodo.org/record/7996656

  Dataset

• Data for EMSL Project 48100 from February 2023

  Lea, S., Hansel, C., Baker, S., Robinson, E., Hoyt, D., Robinson, A., Santelli, C., Zeiner, C., Anderton, C. & Wu, S., Environmental Molecular Sciences Laboratory, 2023

  DOI: 10.25582/data.2023-02.2749115/2386817, https://www.osti.gov/servlets/purl/2386817/

  Dataset

• Data for EMSL Project 48100 from February 2023

  Lea, S., Hansel, C., Baker, S., Robinson, E., Hoyt, D., Robinson, A., Santelli, C., Zeiner, C., Anderton, C. & Wu, S., Environmental Molecular Sciences Laboratory, 2023

  DOI: 10.25582/data.2023-02.2749385/2386809, https://www.osti.gov/servlets/purl/2386809/

  Dataset

• Data for: The long-term impacts of deer herbivory in determining temperate forest stand and canopy structural complexity

  Reed, S., Royo, A., Fotis, A., Knight, K., Flower, C. & Curtis, P., Dryad, Dec 1 2021

  DOI: 10.5061/dryad.b8gtht7dn, https://datadryad.org/stash/dataset/doi:10.5061/dryad.b8gtht7dn

  Dataset

• Human Microbiome Compendium dataset

  Abdill, R. J., Graham, S. P., Rubinetti, V., Albert, F. W., Greene, C. S., Davis, S. & Blekhman, R., ZENODO, Jan 5 2024

  DOI: 10.5281/zenodo.10452633, https://zenodo.org10452633

  Dataset

• Chapters 9 and 10: Quality of Government Data

  Sumner, J. & Sumner, J., Harvard Dataverse, 2024

  DOI: 10.7910/dvn/k59yr2, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/K59YR2

  Dataset