Data from: Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears

Kamath PL, Haroldson MA, Luikart G, Paetkau D, Whitman C, van Manen FT

Date Published: September 25, 2015

DOI: http://dx.doi.org/10.5061/dryad.s6764

 

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title Kamath et al_Yellowstone grizzly bear data
Description This data file contains genotypes and life history data for Yellowstone grizzly bears (n=729) born between 1962 and 2010. Bears were genotyped at 20 microsatellite loci and associated life history parameters include sex, birth year, oldest known year, and death year.
Download Kamath et al_ME_Grizzly bear genotypes.xlsx (187.1 Kb)
Details View File Details
Title Kamath et al_Yellowstone grizzly bear input files
Downloaded 1 time
Description Input files used to evaluate grizzly bear recent trends in diversity, generation interval and effective population size.
Download README.pdf (262.3 Kb)
Download Kamath et al_ME_Grizzly bear input files.zip (581.2 Kb)
Details View File Details

When using this data, please cite the original publication:

Kamath PL, Haroldson MA, Luikart G, Paetkau D, Whitman C, van Manen FT (2015) Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears. Molecular Ecology, 24(22): 5507-5521. http://dx.doi.org/10.1111/mec.13398

Additionally, please cite the Dryad data package:

Kamath PL, Haroldson MA, Luikart G, Paetkau D, Whitman C, van Manen FT (2015) Data from: Multiple estimates of effective population size for monitoring a long-lived vertebrate: an application to Yellowstone grizzly bears. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.s6764
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Submissions have been temporarily disabled.

Search for data

Be part of Dryad

We encourage organizations to: