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CVM Research
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Research continues to be one of the major missions of the College of Veterinary Medicine at Cornell University. As such, its faculty, students, and research scientists produce materials such as posters and datasets that describe or are related to their basic, applied and translational research activities and accomplishments.
This collection includes research outputs that have been submitted voluntarily by faculty, postdoctoral fellows, graduate students, veterinary students, technical personnel, and other research associates. Open access is provided under Creative Commons licenses.
Further information about the College’s research activities can be found at http://www.vet.cornell.edu/research/
Recent Submissions
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Surveillance Optimization Project for Chronic Wasting Disease dataset for Ohio, US, 2019-2021
(2023-05-09)This dataset contains one file containing data from the Ohio Department of Natural Resources, Division of Wildlife shared with the Cornell Wildlife Health Lab (CWHL) at Cornell University for the purpose of the Surveillance ... -
Raptor Health V2: Software to assess the population-scale impact of mortality in raptors
(2022-10-20)The Raptor Health V2 interactive software aids wildlife managers in identifying the population-scale impacts of any cause of death to raptors in an area of interest across a 17-year time span. For example, bald eagle ... -
Data from: Recombinant production of a diffusible signal factor inhibits Salmonella invasion and animal carriage
(2023)These files contain data along with associated output from instrumentation supporting all results reported in Rather, et al. In Rather, et al., we found: The complex chemical environment of the intestine is defined largely ... -
Surveillance Optimization Project for Chronic Wasting Disease dataset for Wisconsin, US, 1999-2021
(2023-03-28)This dataset contains five files containing data from the Wisconsin Department of Natural Resources shared with the Cornell Wildlife Health Lab (CWHL) at Cornell University for the purpose of the Surveillance Optimization ... -
Surveillance Optimization Project for Chronic Wasting Disease dataset for Tennessee, US, 2015-2021
(2023-03-28)This dataset contains four files containing data from the Tennessee Wildlife Resources Agency shared with the Cornell Wildlife Health Lab (CWHL) at Cornell University for the purpose of the Surveillance Optimization Project ... -
Surveillance Optimization Project for Chronic Wasting Disease dataset for Ontario, Canada, 2017-2020
(2023-03-28)This dataset contains four files containing data from the Ontario Ministry of Natural Resources and Forestry shared with the Cornell Wildlife Health Lab (CWHL) at Cornell University for the purpose of the Surveillance ... -
Surveillance Optimization Project for Chronic Wasting Disease dataset for North Carolina, US, 2018-2021
(2023-03-28)This dataset contains five files containing data from the North Carolina Wildlife Resources Commission shared with the Cornell Wildlife Health Lab (CWHL) at Cornell University for the purpose of the Surveillance Optimization ... -
Surveillance Optimization Project for Chronic Wasting Disease dataset for New York State, US, 2002-2021
(2023-03-28)This dataset contains four files containing data from the New York State Department of Environmental Conservation shared with the Cornell Wildlife Health Lab (CWHL) at Cornell University for the purpose of the Surveillance ... -
Surveillance Optimization Project for Chronic Wasting Disease dataset for Mississippi, US, 2018-2021
(2023-03-28)This dataset contains one file containing data from the Mississippi Department of Wildlife, Fisheries, and Parks shared with the Cornell Wildlife Health Lab (CWHL) at Cornell University for the purpose of the Surveillance ... -
Surveillance Optimization Project for Chronic Wasting Disease dataset for Minnesota, US, 2016-2020
(2023-03-28)This dataset contains two files containing data from the Minnesota Department of Natural Resources shared with the Cornell Wildlife Health Lab (CWHL) at Cornell University for the purpose of the Surveillance Optimization ...
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