Dataset: Salinity data collected by the Army Corps of Engineers (ACOE) from near-bottom sondes placed in oyster beds in the Delaware Bay from 2012 to 2018 (SEGO project)

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.945381.1Version 1 (2025-01-22)Dataset Type:Cruise ResultsDataset Type:Other Field Results

Co-Principal Investigator: Elizabeth North (University of Maryland Center for Environmental Science)

Scientist: Archi Howlader (University of Maryland Center for Environmental Science)

BCO-DMO Data Manager: Audrey Mickle (Woods Hole Oceanographic Institution)

Project: Collaborative Research: Spatial analysis of genetic differences in salinity tolerance resulting from rapid natural selection in estuarine oysters (SEGO)

Abstract

The data in this dataset was originally collected by the Army Corps of Engineers (ACOE) and was curated for use in the Selection along Estuarine Gradients in Oysters (SEGO) project. Quoting Howlader (2022): “This dataset was collected in response to the deepening of the Delaware River navigational channel. The dataset has continuous near-bottom (1 m off the bottom) measurements of temperature and specific conductivity taken every 30 minutes at the five oyster bed stations from July-December in 2...

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Cite Dataset

Data collection information from Howlader (2022) “The dataset has continuous near-bottom (1 m off the bottom) measurements of temperature and specific conductivity taken every 30 minutes at the five oyster bed stations from July-December in 2012- 2015 and 2018 using a YSI series 6600EDS V2 data sondes (Bromilow & Wong 2018; Bushek et al. 2014, 2015, 2016). Data sondes were swapped once per month. The depth of water at the monitoring stations were 5-8 meters (Bushek et al. 2014, 2015, 2016).”

 

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Dataset: Salinity data logger Delaware River 2021
Howlader, A., North, E. (2024) Salinity data collected from near-bottom HOBO logger placed in oyster beds in the Delaware Bay Apr 2021 to Nov 2021 (SEGO project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-12-10 doi:10.26008/1912/bco-dmo.945362.1
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Related Publications

Results
Howlader, A., North, E. W., Munroe, D., & Hare, M. P. (2024). Hindcasting Estuarine Bottom Salinity Using Observing Systems Data and Nonlinear Regression, as Applied to Oysters in Delaware Bay. Estuaries and Coasts, 47(8), 2341–2359. https://doi.org/10.1007/s12237-024-01396-x
Results
Howlader, Archi (2022). Predicting the Salinity History of Oysters in Delaware Bay Using Observing Systems Data and Nonlinear Regression. <i>Digital Repository at the University of Maryland</i>. https://doi.org/10.13016/CRJQ-2VKB
Methods
Bromilow, A.M., and D. Wong. 2018. Turbidity monitoring report for Upper Reach E Delaware River Main Channel Deepening Project 2017. Report to U.S. Army Corps of Engineers, Philadelphia, PA, p. 24.
Methods
Bushek, D., J. Morson, D. Wong, J. Dew-Baxter, D. Kreeger, and W.H. Burton. 2014. Oyster and water quality study for the Delaware River Main Channel Deepening project, 2013. Report to U.S. Army Corps of Engineers, Philadelphia, PA, p. 141.
Methods
Bushek, D., J. Morson, D. Wong, J. Dew-Baxter, D. Kreeger, and W.H. Burton. 2015. Oyster and water quality study for the Delaware River Main Channel Deepening project, 2014. Report to U.S. Army Corps of Engineers, Philadelphia, PA, p. 144.

Howlader, A., North, E. (2025) Salinity data collected by the Army Corps of Engineers (ACOE) from near-bottom sondes placed in oyster beds in the Delaware Bay from 2012 to 2018 (SEGO project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-01-22 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.945381.1 [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