Dataset: Microbial enzyme activities: polysaccharide hydrolase activities of gravity filtered seawater samples from the RV\Polarstern cruise ARKXXVII/3 in the Central Arctic Ocean and Laptev Sea, Aug-Sept. 2012

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.742919.1Version 1 (2018-07-24)Dataset Type:Cruise ResultsDataset Type:experimental

Principal Investigator: Carol Arnosti (University of North Carolina at Chapel Hill)

BCO-DMO Data Manager: Nancy Copley (Woods Hole Oceanographic Institution)

Project: Latitudinal and depth-related contrasts in enzymatic capabilities of pelagic microbial communities: Predictable patterns in the ocean? (Patterns of activities)

Abstract

This dataset includes polysaccharide hydrolysis rates measured in samples from gravity filtered seawater. Links to archived CTD data are also provided.

Cite Dataset

This dataset includes polysaccharide hydrolysis rates measured in samples from gravity filtered seawater. Links to archived CTD data are also provided.

Related Datasets

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Related Publications

Results
Balmonte, J. P., Teske, A., & Arnosti, C. (2018). Structure and function of high Arctic pelagic, particle‐associated and benthic bacterial communities. Environmental Microbiology, 20(8), 2941–2954. Portico. https://doi.org/10.1111/1462-2920.14304
Methods
Arnosti, C. (1996). A new method for measuring polysaccharide hydrolysis rates in marine environments. Organic Geochemistry, 25(1-2), 105–115. doi:10.1016/s0146-6380(96)00112-x
Methods
Arnosti, C. (2003). Fluorescent derivatization of polysaccharides and carbohydrate-containing biopolymers for measurement of enzyme activities in complex media. Journal of Chromatography B, 793(1), 181–191. doi:10.1016/s1570-0232(03)00375-1

Arnosti, C. (2020) Microbial enzyme activities: polysaccharide hydrolase activities of gravity filtered seawater samples from the RV\Polarstern cruise ARKXXVII/3 in the Central Arctic Ocean and Laptev Sea, Aug-Sept. 2012. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2018-07-24 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.742919.1 [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