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Dataset: Results of cluster analysis and gene ontology: cross-phyla clustering of non-redundant carbonate organic matrix proteins from coral, mollusk, and sea urchin grouped by hierarchical clustering; analyzed in the Falkowski lab at Rutgers from 2010-2014

Final no updates expectedDOI: 10.26008/1912/bco-dmo.536074.1Version 1 (2014-10-27)Dataset Type:Other Field Results

Paul G. Falkowski (Principal Investigator, Contact)

Yair Rosenthal (Co-Principal Investigator)

Oscar M.E. Schofield (Co-Principal Investigator)

Robert M. Sherrell (Co-Principal Investigator)

Shannon Rauch (BCO-DMO Data Manager)

Program: Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES): Ocean Acidification (formerly CRI-OA) (SEES-OA)

Project: The Molecular Basis of Ocean Acidification Effects on Calcification in Zooxanthellate Corals (CROA)

Abstract

This dataset includes the results of cluster analysis and gene ontology: cross-phyla clustering of non-redundant carbonate organic matrix proteins from coral, mollusk, and sea urchin grouped by hierarchical clustering; analyzed in the Falkowski lab at Rutgers from 2010-2014.

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Cluster analysis and gene ontology to compare ~1500 proteins, from over 100 studies, extracted from calcium carbonates in stony corals, bivalve and gastropod mollusks, and adult and larval sea urchins. This dataset includes information presented in Supplemental Table S1 from Drake et al. 2014. Refer to Drake, et al. (2014) for more information on methodology and results.

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Results
Drake, J. L., Mass, T., & Falkowski, P. G. (2014). The evolution and future of carbonate precipitation in marine invertebrates: Witnessing extinction or documenting resilience in the Anthropocene. Elementa: Science of the Anthropocene, 2. https://doi.org/10.12952/journal.elementa.000026

Falkowski, P. G., Rosenthal, Y., Schofield, O. M., Sherrell, R. M. (2022) Results of cluster analysis and gene ontology: cross-phyla clustering of non-redundant carbonate organic matrix proteins from coral, mollusk, and sea urchin grouped by hierarchical clustering; analyzed in the Falkowski lab at Rutgers from 2010-2014. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2014-10-27 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.536074.1 [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.

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Funded by the U.S. National Science Foundation