©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, and includes environmental data characterizing the populations used i...
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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.
Rumberger, C., Lotterhos, K., Small, J., Eppley, M., Carnegie, R., Mongillo, N., Bajaj, K., Segnitz, Z. (2026). Environmental data from sites (source populations, and experimental sites) from common garden experiments with Eastern oyster (Crassostrea virginica) run as part of CviMVP project from 2023-2025 in the Chesapeake Bay. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-10-06 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/1007572 [access date]
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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.