This readme.txt file was generated on 20210908 by William J. Severud ------------------- GENERAL INFORMATION ------------------- 1. R code and data for "Determining the threshold of serum progesterone to diagnose pregnancy in moose using ROC analysis" 2. Author Information Principal Investigator Contact Information Name: Madeline Struck Institution: Department of Veterinary Population Medicine Address: University of Minnesota Twin Cities Email: struc026@umn.edu Associate or Co-investigator Contact Information Name: William J. Severud Institution: Department of Veterinary Population Medicine Address: University of Minnesota Twin Cities Email: seve0135@umn.edu ORCID: 0000-0003-0150-5986 Associate or Co-investigator Contact Information Name: Janine L. Brown Institution: Smithsonian Conservation Biology Institute Address: Center for Species Survival, National Zoological Park Email: BrownJan@si.edu Associate or Co-investigator Contact Information Name: Yvette M. Chenaux-Ibrahim Institution: Department of Biology and Environment Address: Grand Portage Band of Lake Superior Chippewa Email: yvettec@boreal.org Associate or Co-investigator Contact Information Name: Edmund J. Isaac Institution: Department of Biology and Environment Address: Grand Portage Band of Lake Superior Chippewa Email: ejisaac@boreal.org Associate or Co-investigator Contact Information Name: Seth A. Moore Institution: Department of Biology and Environment Address: Grand Portage Band of Lake Superior Chippewa Email: samoore@boreal.org Associate or Co-investigator Contact Information Name: Tiffany M. Wolf Institution: University of Minnesota Address: Department of Veterinary Population Medicine Email: wolfx305@umn.edu 3. Date of data collection: 20100101 to 20200228 4. Geographic location of data collection (where was data collected?): northeastern Minnesota, in and around Grand Portage Indian Reservation 5. Information about funding sources that supported the collection of the data: University of Minnesota Veterinary Summer Scholars program with support from the Van Sloun Foundation; U.S. Fish and Wildlife Service Tribal Wildlife Grant; U.S. Environmental Protection Agency Great Lakes Restoration Initiative; the Bureau of Indian Affairs Endangered Species Program; Minnesota Zoo Ulysses S. Seal Conservation Fund; and Indianapolis Zoo Conservation Fund -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: Attribution-NonCommercial-ShareAlike 3.0 United States This research leveraged data gained from a long-term ecosystem health research program led by the Grand Portage Band of Lake Superior Chippewa (GPBLSC) and University of Minnesota. The GPBLSC is a federally recognized Indian tribe in extreme northeastern Minnesota and proudly exercises its rights to food sovereignty through subsistence hunting and fishing. Moose are a primary subsistence food used by the Anishinaabeg (people) of Grand Portage Band historically and presently and thus sets the context for this paper examining pregnancy rates in moose. The GPBLSC is a sovereign indigenous nation that owns the data used in this manuscript. Those data are protected under the principles of data sovereignty: see T. Kukutai, J. Taylor, Indigenous Data Sovereignty: Toward an agenda (ANU Press, 2016; https://library.oapen.org/handle/20.500.12657/31875) and are shared under a data sharing and ownership agreement with the University of Minnesota for analysis and publication of scientific products: see Moore, Seth A; Wolf, Tiffany M; Travis, Dominic A. (2015). Data Sharing and Ownership Agreement for the Research Project “Building a One Health Research Collaboration between UMN and Grand Portage Indian Reservation” between the Grand Portage Band and the Regents of the University of Minnesota, on behalf of its College of Veterinary Medicine, Department of Veterinary Population Medicine. Retrieved from the University of Minnesota Digital Conservancy, https://hdl.handle.net/11299/213279). The Grand Portage Band has invested heavily in the acquisition of these important and sensitive data for the good of the Tribe. In maintaining ownership of these data, the Band ensures that any future western scientific products that emerge from these data integrate and reflect the cultural priorities of the Band. We have provided raw data of moose serum progesterone concentrations and code that can be used to replicate our analytical methods (see below for more detail). The provided data are a subset of the larger data set resulting from the long-term ecosystem health research program. 2. Links to publications that cite or use the data: Struck, et al. Refining the moose serum progesterone threshold to diagnose pregnancy. In prep. Conservation Physiology. 3. Links to other publicly accessible locations of the data: 4. Links/relationships to ancillary data sets: 5. Was data derived from another source? If yes, list source(s): 6. Recommended citation for the data: Struck, Severud, Brown, Chenaux-Ibrahim, Isaac, Moore, and Wolf. R code and data supporting: Refining the moose serum progesterone threshold to diagnose pregnancy. University of Minnesota Digital Conservancy. --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: ROC_DRUM.html Short description: Complete R code B. Filename: ROC_DRUM.Rmd Short description: Complete R code C. Filename: ROCFinal.csv Short description: Progesterone and associated metadata for individual moose 2. Relationship between files: R code uses .csv files as data inputs 3. Additional related data collected that was not included in the current data package: N/A 4. Are there multiple versions of the dataset? no -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: We captured and handled moose, drew blood, and submitted serum to lab for progestrone analysis. At capture, we palpated a subset of female moose for fetuses. Calf presence was also subsequently determined through observation. Further details can be found in: Struck, et al. Refining the moose serum progesterone threshold to diagnose pregnancy. In prep. Conservation Physiology. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: ROCFinal.csv ----------------------------------------- 1. Number of variables:7 2. Number of cases/rows: 87 3. Missing data codes: Code/symbol [blank] Definition: beyond scope of study 4. Variable List A. Name: Year Description: Year data were collected B. Name: Uniq.ID Description: Unique identifier for individual moose C. Name: Prog Description: Serum progesterone level (ng/ml) D. Name: Pregnant Description: Pregnancy determination (0 = not pregnant, 1 = pregnant) E. Name: Method Description: Method of pregnancy determination (Calf Movement, Calf Observed, Male, Necropsy, No Calf Data, Palpation) F. Name: Number Description: Number of calves (if known)