This dataset contains SNP genotype and metadata for broodstock (parent) Eastern oysters (Crassostrea virginica) used in a multi-year common garden field experiment (2023–2025) as part of the project "CAREER: Evaluation of machine learning algorithms for understanding and predicting adaptation to multivariate environments with a Model Validation Program (MVP)" (NSF award #2043905 to Dr. Katie Lotterhos). The goal of the broader project is to assess the ability of machine learning algorithms (MLAs...
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Acronyms:
SNP = Single-nucleotide Polymorphism
MLA = Machine Learning Algorithm
LD = Linkage Disequilibrium
NCBI = National Center for Biotechnology Information
DNA = Deoxyribonucleic acid
MVP = Model Validation Program
ABC = Aquaculture Genetics and Breeding Technology Center
VIMS = Virginia Institute of Marine Science
GO = Gene Ontology
Crassostrea virginica, LSID (urn:lsid:marinespecies.org:taxname:140657)
NCBI BioProject with the related sequences and sample information in BioSample SAMN06349363.
This repository contains data and code for a hatchery-to-field (H2F) experiment evaluating survival, growth, and genetic predictors of performance in Eastern oysters (Crassostrea virginica), part of the project "CAREER: Evaluation of machine learning...
Pre-print of a pending peer-reviewed publication.
Bajaj, K., Eppley, M., Rumberger, C., Mongillo, N., Lotterhos, K., Small, J., Carnegie, R., Katsuki, S., Segnitz, Z. (2026). SNP genotypes of Eastern oysters (Crassostrea virginica) from wild and hatchery populations along U.S. Atlantic and Gulf coasts (collected 2022), used as broodstock in a common garden field experiment (2023-2025). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-05-18 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/998738 [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.