This readme.txt file was generated on 20190920 by William J. Severud

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GENERAL INFORMATION
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1. R code and data for "Comparing multiple survey and recruitment-mortality models to assess growth rates and population projections"

2. Author Information

  Principal Investigator Contact Information
        Name: William J. Severud
           Institution: Department of Fisheries, Wildlife, and Conservation Biology
           Address: University of Minnesota Twin Cities
           Email: seve0135@umn.edu
	   ORCID: 0000-0003-0150-5986

  Associate or Co-investigator Contact Information
        Name: Glenn D. DelGiudice
           Institution: Minnesota Department of Natural Resources
           Address: Forest Wildlife Populations and Research Group
           Email: glenn.delgiudice@state.mn.us

  Associate or Co-investigator Contact Information
           Name: Joseph K. Bump
           Institution: University of Minnesota
           Address: Department of Fisheries, Wildlife, and Conservation Biology
           Email: bump@umn.edu

3. Date of data collection: 20170101 to 20170831

4. Geographic location of data collection (where was data collected?): northeastern Minnesota

5. Information about funding sources that supported the collection of the data:
This study was funded in part by the Minnesota Environmental and Natural Resources Trust Fund (ENRTF),
the Wildlife Restoration (Pittman-Robertson) Program, 
and MNDNR Section of Wildlife's Wildlife Populations and Research Unit, 
with supplemental support from the Minnesota Deer Hunters Association.  
W.J.S. was also supported by the Albert W. Franzmann and Distinguished Colleagues Memorial Award 
and the University of Minnesota's Doctoral Dissertation Fellowship.  
The University of Minnesota's Department of Fisheries, Wildlife, and Conservation Biology provided technical and other support.  
J.K.B. was supported by grants NSF ID#1545611 and NSF ID#1556676.

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SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data: Attribution-NonCommercial-ShareAlike 3.0 United States

2. Links to publications that cite or use the data: 
Severud, DelGiudice, and Bump. Comparing multiple survey and recruitment-mortality models to assess growth rates and population projections. Ecology and Evolution: in press.

3. Links to other publicly accessible locations of the data:

4. Links/relationships to ancillary data sets: https://www.dnr.state.mn.us/publications/wildlife/index.html

5. Was data derived from another source?
           If yes, list source(s): https://www.dnr.state.mn.us/publications/wildlife/index.html

6. Recommended citation for the data:
	 Severud, William J; DelGiudice, Glenn D; Bump, Joseph K. (2019). R code and data for "Comparing multiple survey and recruitment-mortality models to assess growth rates and population projections". Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/bd01-3547. 

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DATA & FILE OVERVIEW
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1. File List
   A. Filename:  DRUM.html      
      Short description:  Complete R code with parameters used in stochastic population model (Fig. 6 in supported publication)      
        
   B. Filename:	DeterministicProjections.csv
      Short description: Moose population estimates from aerial surveys and deterministic projections using multiple estimations of lambda (Fig. 4 in supported publication)
        
   C. Filename: PopulationComparisons.csv       
      Short description: Moose population estimates from aerial surveys compared to estimates derived from growth rates calculated from collaring studies (Fig. 5 in supported publication)

2. Relationship between files:  The data files and R code are unrelated. Both sets of files contain data required to reproduce the figures for the Severud, DelGiudice, and Bump publication. The R script does not create nor require the data files.      

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
   
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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data:
Data were collected and derived from MNDNR reports.  Further details can be found in:
Severud, DelGiudice, and Bump. Comparing multiple survey and recruitment-mortality models to assess growth rates and population projections. Ecology and Evolution: in press.

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DATA-SPECIFIC INFORMATION FOR: DeterministicProjections.csv
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1. Number of variables:6

2. Number of cases/rows: 64

3. Missing data codes:
        Code/symbol [blank]       Definition: beyond scope of study

4. Variable List
          
    A. Name: Year
       Description: Year data were collected (for aerial survey) or projected (for all other columns)

    B. Name: Aerial survey
       Description: Moose population estimate from MNDNR aerial survey

    C. Name: 2012-2017 mean lambda (1.02)
       Description: Moose population deterministic projection using lambda of 1.02 starting with initial population from 2017 population estimate from aerial survey

    D. Name: study mean lambda (1.01)
       Description: Moose population deterministic projection using lambda of 1.01 starting with initial population from 2017 population estimate from aerial survey

    E. Name: 2005-2017 mean lambda (0.96)
       Description: Moose population deterministic projection using lambda of 0.96 starting with initial population from 2017 population estimate from aerial survey

    F. Name: Lenarz (0.85)
       Description: Moose population deterministic projection using lambda of 0.85 starting with initial population from 2008 population estimate from aerial survey

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DATA-SPECIFIC INFORMATION FOR: PopulationComparisons.csv
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1. Number of variables: 7

2. Number of cases/rows: 14

3. Missing data codes:
        Code/symbol [blank]       Definition: beyond scope of study

4. Variable List
             
    A. Name: Name: Year
       Description: Year data were collected (for aerial survey) or modeled (for all other columns)

    B. Name: Population estimate
       Description: Moose population estimate from MNDNR aerial survey

    C. Name: Population estimate using lambdaRM
	Description: Population projection estimate using lambda calculated from Recruitment-Mortality Equation

    D. Name: Lower 90% CI lambdaRM
	Description: Lower 90% CI of Population estimate using lambdaRM
    
    E. Name: Upper 90% CI lambdaRM
	Description: Upper 90% CI of Population estimate using lambdaRM

    D. Name: Lower 90% CI
	Description: Lower 90% confidence interval of Population estimate from aerial survey

    D. Name: Upper 90% CI
	Description: Upper 90% confidence interval of Population estimate from aerial survey