Dataset: Microbial enzymatic activities from seawater and from particle-associated seawater communities from Greenland, August 2015 (Patterns of activities project)

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.717660.1Version 1 (2017-10-30)Dataset 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

Bacterial activity as measured by hydrolysis rates from unfiltered seawater and particle-associated communities collected near shore in northeastern Greenland in August 2015.

Cite Dataset

Bacterial activity as measured by hydrolysis rates from unfiltered seawater and particle-associated communities collected near shore in northeastern Greenland in August 2015.

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Related Publications

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
Methods
Hoppe, HG. (1993). Use of fluorogenic model substrates for extracellular enzyme activity (EEA) measurement of bacteria, p. 423-431. In P. F. Kemp, B. F. Sherr, E. B. Sherr, and J. J. Cole (ed.), Handbook of methods in aquatic microbial ecology. Lewis Publishers, Boca Raton, FL 978-0873715645
Methods
Obayashi, Y., & Suzuki, S. (2005). Proteolytic enzymes in coastal surface seawater: Significant activity of endopeptidases and exopeptidases. Limnology and Oceanography, 50(2), 722–726. doi:10.4319/lo.2005.50.2.0722

Arnosti, C. (2020) Microbial enzymatic activities from seawater and from particle-associated seawater communities from Greenland, August 2015 (Patterns of activities project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2017-10-30 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.717660.1 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


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