Dataset: Sediment grain size data collected from a shallow subterranean estuary (STE) in Gloucester Point, Virginia USA, from 2018 to 2019

Final no updates expectedDOI: 10.26008/1912/bco-dmo.894323.1Version 1 (2023-05-01)Dataset Type:Other Field Results

Principal Investigator: Bongkeun Song (Virginia Institute of Marine Science)

Co-Principal Investigator: Iris C. Anderson (Virginia Institute of Marine Science)

Co-Principal Investigator: Craig Tobias (University of Connecticut)

Student, Contact: Stephanie J. Wilson (Virginia Institute of Marine Science)

BCO-DMO Data Manager: Taylor Heyl (Woods Hole Oceanographic Institution)


Project: Collaborative Research: Cryptic nitrogen cycling in the anoxic subterranean estuary (Subsurface cryptic N cycle)


Abstract

These data were collected from a sandy subterranean estuary (STE) located in Gloucester Point, Virginia, USA, which is located along the York River Estuary, a tributary of the Chesapeake Bay. Sediments were measured for grain size analyses between 2018 and 2019.

The grain size of sediment samples was collected from a sandy subterranean estuary (STE) located in Gloucester Point (GP), Virginia, USA. Sediments were measured for grain size with a laser diffraction particle size analyzer (LDPSA, model: LS 13 320, Beckman Coulter). Particle size distributions of GP-STE sediment were determined with an LDPSA using the Fraunhofer Theory. Samples were subsampled from sediment vibracores collected at the GP-STE  in July 2018 and replicate samples (0 centimeters, 50 centimeters, and 100 centimeters) from the January 2019 core. The data output produced by the LDPSA corresponds to the Wentworth scale range of sediment grain size categories. Samples were prepped with 10 percent (%) Calgon solution prior to analysis.


Related Datasets

IsRelatedTo

Dataset: Water level data
Wilson, S. J., Song, B., Anderson, I. C., Tobias, C. (2023) Water level data from a slug test within a shallow, sandy subterranean estuary (STE), Gloucester Point, Virginia USA in May 2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-05-09 doi:10.26008/1912/bco-dmo.894312.1

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