Dataset: Allele frequencies and FST estimates
View Data: Data not available yet
Data Citation:
Therkildsen, N. O., Baumann, H. (2021) Methodology information and links to data access for allele frequencies and FST estimates for 1,904,119 SNPs analyzed in five population samples of Atlantic silverside (Menidia menidia) collected along the east coast of North America between 2005 to 2007. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-06-29 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/854895 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.
Spatial Extent: N:47.4 E:-61.85 S:31.02 W:-81.43
Temporal Extent: 2005 - 2007
Principal Investigator:
Nina Overgaard Therkildsen (Cornell University, Cornell)
Co-Principal Investigator:
Hannes Baumann (University of Connecticut, UConn)
BCO-DMO Data Manager:
Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version:
1
Version Date:
2021-06-29
Restricted:
No
Validated:
Yes
Current State:
Final no updates expected
Methodology information and links to data access for allele frequencies and FST estimates for 1,904,119 SNPs analyzed in five population samples of Atlantic silverside (Menidia menidia) collected along the east coast of North America between 2005 to 2007
Abstract:
Methodology information and links to data access for allele frequencies and FST estimates for 1,904,119 SNPs analyzed in five population samples of Atlantic silverside (Menidia menidia) across its distribution range. These data were published in Wilder et al. (2020).
The allele frequencies and FST estimates and metadata are stored at the Dryad repository (https://doi.org/10.5061/dryad.jm63xsj7w).