©2026 Biological and Chemical Oceanography Data Management Office.Funded by the U.S. National Science Foundation
©2026 Biological and Chemical Oceanography Data Management Office.This project is related to the CviMVP (Model Validation Program) project, which aims to assess Machine Learning Algorithms (MLAs) for understanding and predicting adaptation of organisms to multivariate environments from their DNA sequences. The data here is related to a field experiment validating the results of MLAs predicting responses to common garden conditions at two sites in the Chesapeake Bay, Lewisetta and York River. The metadata includes information on source population, phenotype dat...
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Organism identifiers:
Eastern oyster, Crassostrea virginica, urn:lsid:marinespecies.org:taxname:140657
The experimental results dataset (1007522) includes fitness data and metadata from a common garden experiment run as part of the CviMVP project from 2023-2025. In the experiment juvenile oysters were transplanted to two sites to assess fitness acros...
The experimental results dataset (1007522) includes fitness data and metadata from a common garden experiment run as part of the CviMVP project from 2023-2025. In the experiment juvenile oysters were transplanted to two sites to assess fitness acros...
The experimental results dataset (1007522) includes fitness data and metadata from a common garden experiment run as part of the CviMVP project from 2023-2025. In the experiment juvenile oysters were transplanted to two sites to assess fitness acros...
Pre-print of a pending peer-reviewed publication.
K. Eaton, A., Lotterhos, K., Rumberger, C., Eppley, M., Bajaj, K., Mongillo, N., Small, J., Carnegie, R., Segnitz, Z., Armstrong, M. (2026). Parent eastern oysters (Crassostrea virginica) from wild and hatchery populations along U.S. Atlantic and Gulf coasts (collected 2022), used as broodstock in a field experiment (2023–2025). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-09-30 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/1008652 [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.