North American Wildlife Agency CWD Testing and Ancillary Data (2000 – 2022) Scripts

Author
Hollingshead, Nicholas A.
Dayan, David B.
Abstract

These scripts have been used to generate the North American Wildlife Agency CWD Testing and Ancillary Data (2000 – 2022) (Version 2) (“Dataset”), representing epidemiological, population, ecological, and anthropogenic data related to chronic wasting disease (CWD) surveillance in white-tailed deer (Odocoileus virginianus) in 16 US states (“Administrative Areas”) in North America. The data are summarized by “Management Areas,” the geographic unit within the administrative area of a wildlife agency used for wildlife management, typically aligning with county or county-equivalent boundaries. The resulting dataset is intended for use in regional models to determine risk factors that can be used to predict locations of CWD incidence in white-tailed deer at the sub-administrative unit level. Version 2 of the dataset corrects errors present in Version 1 (https://doi.org/10.7298/7txw-2681). For Version 2, the original data sources were re-examined and re-processed to ensure the highest level of fidelity and accuracy possible. All data and scripts were assessed for accuracy and consistency by internal and external collaborators.

Description
Software is shared under a MIT license.
Copyright 2024 Cornell University

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Sponsorship
Data collection was funded in part by Arkansas’s Wildlife Restoration funds, State of Florida State Game Trust Fund Deer Management Program; Georgia’s Wildlife and Sport Fish Restoration Program; Indiana Department of Natural Resources and Fish and Wildlife # F18AF00484, W38R05 White-tailed Deer Management, F20AF10029-00, Monitoring Wildlife Populations and Health W-51-R-01, F21AF02467-01, Monitoring Wildlife Populations and Health W-51-R-02; Iowa’s Fish and Wildlife Trust Fund and Iowa’s award of the U. S. Fish and Wildlife Service Wildlife and Sport Fish Restoration Program; Maryland’s award of the U. S. Fish and Wildlife Service Wildlife and Sport Fish Restoration Program, #W-61-R-29; Minnesota Department of Natural Resources; New York’s Wildlife Health Unit and New York’s award for Federal Aid Wildlife Restoration Grant #W-178-R; North Carolina’s award for Federal Aid in Wildlife Restoration; Ohio’s award for the Wildlife Restoration Grant # F20AF12094; Tennessee’s award for the Wildlife Restoration Program; Virginia’s Pittman-Roberston Federal Aid; Wisconsin’s award for the Federal Aid in Wildlife Restoration; Multistate Conservation Grant Program # F21AP00722-01. The Michigan Disease Initiative # RC109358, Alabama Department of Conservation and Natural Resources, Florida Fish and Wildlife Conservation Commission, Tennessee Wildlife Resources Agency, and New York State Department of Environmental Conservation contributed funding to the overall project. This Project was funded by a Multistate Conservation Grant # F23AP00488-00, a program funded form the Wildlife and Sport Fish Restoration Program, and jointly managed by the U.S. Fish and Wildlife Service and the Association of Fish and Wildlife Agencies.
Date Issued
2024-05-03
Keywords
•
•
•
Related DOI
Related To
Schuler KL, Hanley BJ, Abbott RC, Dayan DB, Hollingshead NA, Ballard JR, Middaugh CR, Cunningham M, Clemons B, Sayler K, Killmaster CH, Harms TM, Ruden RM, Caudell J, Westrich MB, McCallen E, Casey C, O’Brien LM, Trudeau JK, Straka K, Stewart C, Carstensen M, McKinley WT, Hynes KP, Ableman A, Miller LA, Cook M, Myers R, Shaw J, Van de Berg S, Tonkovich MJ, Kelly JD, Grove DM, and Storm DJ. 2024. North American Wildlife Agency CWD Testing and Ancillary Data (2000 – 2022) [Dataset]. Cornell University Library eCommons Repository. https://doi.org/10.7298/7txw-2681.2
Ahmed MS, Hanley BJ, Mitchell CI, Abbott RA, Hollingshead NA, Booth JG, Guinness J, Jennelle CS, Hodel FH, Gonzalez-Crespo C, Middaugh CR, Ballard JR, Clemons B, Killmaster CH, Harms TM, Caudell JN, Benavidez Westerich KM, McCallen E, Casey C, O'Brien L, Trudeau JK, Steward C, Carstensen M, McKinley WT, Hynes KP, Stevens AE, Miller LA, Cook M, Myers RT, Shaw J, Tonkovich MJ, Kelly JD, Grove DM, Storm DJ, and Schuler KS. 2024. Predicting chronic wasting disease in white-tailed deer at the county scale using machine learning. Scientific Reports. https://doi.org/10.1038/s41598-024-65002-7
Type
software