Stability and seasonality: An ultrahigh resolution comparison of the dissolved organic matter composition between the world's two largest rivers, the Amazon and the Congo
Abstract:
This dataset contains geographic information, DOC concentrations, and DOM properties of water samples collected from the Amazon and Congo Rivers. The Amazon River was sampled near monthly from July 2011-November 2013 and the Congo River was sampled from September 2009-November 2010 from gauging stations near the outflow of each river. Samples were taken to study the seasonal properties of each river and how they compare in terms of molecular-level DOM composition as well as annual export. This dataset also contains FT-CIR MS peak lists for subsets that include mass peaks common in all samples, peaks unique to only Congo River samples, and peaks unique to only Amazon River samples. Portions of the Amazon River dataset have been previously published in a manuscript (https://doi.org/10.1029/2021GB006938) and archived in a repository (doi:10.26022/IEDA/111816).
How to cite this dataset:
Kurek, M., 2022. Stability and seasonality: An ultrahigh resolution comparison of the dissolved organic matter composition between the world's two largest rivers, the Amazon and the Congo, Version 1.0. Interdisciplinary Earth Data Alliance (IEDA).
https://doi.org/10.26022/IEDA/112267. Accessed 2024-07-27.
DOI Creation Date:
2022-03-25
Related
Publication(s):
Kurek, M. R., Stubbins, A., Drake, T. W., Moura, J. M. S., Holmes, R. M., Osterholz, H., et al. (2021). Drivers of organic molecular signatures in the Amazon River. Global Biogeochemical Cycles, 35, e2021GB006938. https://doi.org/10.1029/2021GB006938
License:
Creative Commons Attribution-ShareAlike 4.0 International [CC-BY-SA-4.0]
Keyword(s):
Coverage Scope: Regional (Continents, Oceans)
User Contributed Keyword(s):
DOC, DOM, FT-ICR MS, Amazon River, Congo River
Data Available On:
2022-03-26