Dataset: Multi-angle laser light scattering data of colloidal matter in field samples from the outer reaches of the Damariscotta River Estuary, Maine collected between October of 2017 and July of 2018.

This dataset has not been validatedData not availableVersion 1 (2020-05-19)Dataset Type:Other Field Results

Principal Investigator: Mark L. Wells (University of Maine)

Co-Principal Investigator: Jessica N. Fitzsimmons (Texas A&M University)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)

Project: Collaborative Proposal: Assessment of the Colloidal Iron Size Spectrum in Coastal and Oceanic Waters (Colloidal Metals)

Cite Dataset

These files contain the raw multi-angle laser light scattering data of colloidal matter in all of the project field samples in the outer reaches of the Damariscotta River Estuary on the mid-coast region of Maine collected between October of 2017 and July of 2018. 

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Related Publications

Methods
Baalousha, M., Stolpe, B., & Lead, J. R. (2011). Flow field-flow fractionation for the analysis and characterization of natural colloids and manufactured nanoparticles in environmental systems: A critical review. Journal of Chromatography A, 1218(27), 4078–4103. doi:10.1016/j.chroma.2011.04.063
Methods
Floge, S. A., & Wells, M. L. (2007). Variation in colloidal chromophoric dissolved organic matter in the Damariscotta Estuary, Maine. Limnology and Oceanography, 52(1), 32–45. doi:10.4319/lo.2007.52.1.0032
Methods
Lyvén, B., Hassellöv, M., Haraldsson, C., & Turner, D. R. (1997). Optimisation of on-channel preconcentration in flow field-flow fractionation for the determination of size distributions of low molecular weight colloidal material in natural waters. Analytica Chimica Acta, 357(3), 187–196. doi:10.1016/s0003-2670(97)00565-5

Wells, M. L., Fitzsimmons, J. N. (2020) Multi-angle laser light scattering data of colloidal matter in field samples from the outer reaches of the Damariscotta River Estuary, Maine collected between October of 2017 and July of 2018.. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-05-19 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/811924 [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