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1
Data from: The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference
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Data from: The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference

CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0

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2
Why do coastal seeds fail? Evidence of local adaptation of northern red oak ( Quercus rubra ) in Minnesota coastal forests - Genomics and Geospatial Data
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Why do coastal seeds fail? Evidence of local adaptation of northern red oak ( Quercus rubra ) in Minnesota coastal forests - Genomics and Geospatial Data

CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0

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3
Supporting data for "Sulfur geochemistry impacts population oscillations of wild rice (Zizania palustris)"
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Supporting data for "Sulfur geochemistry impacts population oscillations of wild rice (Zizania palustris)"

CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0

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4
Data, R Code, and Output Supporting: Range Overlap between Mid-Continent and Eastern Sandhill Cranes revealed by GPS-tracking
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Data, R Code, and Output Supporting: Range Overlap between Mid-Continent and Eastern Sandhill Cranes revealed by GPS-tracking

Attribution-NonCommercial-ShareAlike 3.0 https://creativecommons.org/licenses/by-nc-sa/3.0

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5
R code and data for "Comparing multiple survey and recruitment-mortality models to assess growth rates and population projections"
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R code and data for "Comparing multiple survey and recruitment-mortality models to assess growth rates and population projections"

Attribution-ShareAlike 3.0 United States http://creativecommons.org/licenses/by-sa/3.0/us

Digital Resources/Online E-Resources

6
Growth Rates and Variances of Unexploited Wolf Populations in Dynamic Equilibria: Data, R Code, and Supporting Results
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Growth Rates and Variances of Unexploited Wolf Populations in Dynamic Equilibria: Data, R Code, and Supporting Results

Creative Commons Attribution-NonCommercial-ShareAlike International 4.0 https://creativecommons.org/licenses/by-nc-sa/4.0 ;DOI: 10.13020/D6RP4N

Digital Resources/Online E-Resources

7
Estimating annual harvest of American Woodcock (Scolopax minor) in the United States during 1964-2016: data, model code, and supplemental estimates
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Estimating annual harvest of American Woodcock (Scolopax minor) in the United States during 1964-2016: data, model code, and supplemental estimates

CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0

Digital Resources/Online E-Resources

8
Data, R Code, and Output Supporting "An Historical Overview and Update of Wolf-Moose Interactions in Northeastern Minnesota"
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Data, R Code, and Output Supporting "An Historical Overview and Update of Wolf-Moose Interactions in Northeastern Minnesota"

Attribution-NonCommercial-ShareAlike 4.0 International https://creativecommons.org/licenses/by-nc-sa/4.0

Digital Resources/Online E-Resources

9
SNP data of 556 isolates of the wheat leaf rust fungus, Puccinia triticina from 11 world-wide regions
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SNP data of 556 isolates of the wheat leaf rust fungus, Puccinia triticina from 11 world-wide regions

CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0

Digital Resources/Online E-Resources

10
Historical Population Estimates for 2010 U.S. States, Counties and Metro/Micro Areas, 1790-2010
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Historical Population Estimates for 2010 U.S. States, Counties and Metro/Micro Areas, 1790-2010

Attribution 4.0 International https://creativecommons.org/licenses/by/4.0 ;DOI: 10.13020/D6XW2H

Digital Resources/Online E-Resources

11
Watershed-based Stressors for the Great Lakes Basin
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Watershed-based Stressors for the Great Lakes Basin

Attribution-NonCommercial-ShareAlike 4.0 International (CC-By-NC-SA). Commercial users are encouraged to contact the authors about potential commercial uses.

Digital Resources/Online E-Resources

12
Data Supporting 'When things don’t add up: quantifying impacts of multiple stressors from individual metabolism to ecosystem processing'
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Data Supporting 'When things don’t add up: quantifying impacts of multiple stressors from individual metabolism to ecosystem processing'

Digital Resources/Online E-Resources

13
SNP Genotyping Data from the Barley Experimental Population from "Two Genomic Regions Contribute Disproportionately to Geographic Differentiation in Wild Barley"
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SNP Genotyping Data from the Barley Experimental Population from "Two Genomic Regions Contribute Disproportionately to Geographic Differentiation in Wild Barley"

Attribution 3.0 United States https://creativecommons.org/licenses/by/3.0/us ;DOI: 10.13020/D6B59N

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14
R Code and Data for: High juvenile mortality overwhelms benefits of mating potential for reproductive fitness
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R Code and Data for: High juvenile mortality overwhelms benefits of mating potential for reproductive fitness

Attribution-NonCommercial-ShareAlike 3.0 United States http://creativecommons.org/licenses/by-nc-sa/3.0/us

Digital Resources/Online E-Resources

15
Arctic Peregrine Falcon Abundance on Cliffs Along the Colville River, Alaska, 1981-2002 and Covariate Input Files
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Arctic Peregrine Falcon Abundance on Cliffs Along the Colville River, Alaska, 1981-2002 and Covariate Input Files

CC0 1.0 Universal - Public Domain Dedication http://creativecommons.org/publicdomain/zero/1.0 ;DOI: 10.13020/D6PP41

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16
Supplementary Data for Modeling and Conservation of Wildlife Populations in Managed Landscapes: A Trade-Off Between Effort and Results, Ph.D. Dissertation
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Supplementary Data for Modeling and Conservation of Wildlife Populations in Managed Landscapes: A Trade-Off Between Effort and Results, Ph.D. Dissertation

DOI: 10.13020/D6S59P

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17
Environmental Association Analyses Identify Candidates for Abiotic Stress Tolerance in Glycine soja, the Wild Progenitor of Cultivated Soybeans
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Environmental Association Analyses Identify Candidates for Abiotic Stress Tolerance in Glycine soja, the Wild Progenitor of Cultivated Soybeans

Attribution 3.0 United States http://creativecommons.org/licenses/by/3.0/us ;DOI: 10.13020/D64G6R

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18
R Code and Data Supporting: Ecological forecasts reveal limitations of common model selection methods: predicting changes in beaver colony densities
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R Code and Data Supporting: Ecological forecasts reveal limitations of common model selection methods: predicting changes in beaver colony densities

Attribution-NonCommercial-ShareAlike 3.0 United States http://creativecommons.org/licenses/by-nc-sa/3.0/us

Digital Resources/Online E-Resources

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