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Discrete sample surface-water data for the Sacramento-San Joaquin River Delta

The goal of this study was to develop a suite of inter-related water quality monitoring approaches capable of modeling and estimating the spatial and temporal gradients of particulate and dissolved total mercury (THg) concentration, and particulate and dissolved methyl mercury (MeHg), concentration, in surface waters across the Sacramento / San Joaquin River Delta (SSJRD). This suite of monitoring approaches included: a) data collection at fixed continuous monitoring stations (CMS) outfitted with in-situ sensors, b) spatial mapping using boat-mounted flow-through sensors, and c) satellite-based remote sensing. The focus of this specific Child Page is to present all field and laboratory-based data associated with discrete surface water samples collected as part of the CMS and boat mapping components of the study. The data provided in the table herein constitute a collection of field-based and laboratory-based measurements that coincide with the timestamps of samples collected at 33 sites across the Delta. Laboratory-based measurements presented herein were conducted by the U.S. Geological Survey (USGS) Organic Matter Research Laboratory (OMRL) in Sacramento, CA, the USGS Earths System Processes Division (ESPD) microbial biogeochemistry laboratory in Menlo Park, CA, the USGS Reston Stable Isotope Laboratory (RSIL) in Reston, VA and the USGS National Water Quality Laboratory (NWQL) in Denver, CO. The machine-readable (comma separated value, *.csv) file presented herein includes laboratory-based measurements for discrete samples collected from 33 established field sites (sampled repeatedly). In addition, field-based sensor data from continuous measurement platforms (CMS locations or as part of the mapping boat flow-through system) are also included in this discrete sample dataset by ensuring that the field sensor measurements were both spatially and temporally coincident with the physically discrete water sample collected for laboratory analysis.

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Author(s) Jacob A Fleck orcid, Mark C Marvin-DiPasquale orcid, Brian Bergamaschi orcid, Lisamarie Windham-Myers orcid, Charles N Alpers orcid, Erin Hestir, Dulcinea M Avouris orcid, Katy O'Donnell orcid, Diana M Oros, Angela Hansen orcid, Patrick T Watanabe, Daryna Sushch orcid, Erica R De, Crystal L Sturgeon, Ayelet Delascagigas, Jeffrey (Chuck) A, Dylan J Burau orcid, Jennifer L Agee orcid, Le Kieu orcid, Evangelos Kakouros orcid, Shaun Baesman orcid
Publication Date 2023-02-16
Beginning Date of Data 2019-07-23
Ending Date of Data 2021-05-04
Data Contact
DOI https://doi.org/10.5066/P9O85MN7
Citation Fleck, J.A., Marvin-DiPasquale, M.C., Bergamaschi, B., Windham-Myers, L., Alpers, C.N., Hestir, E., Avouris, D.M., O'Donnell, K., Oros, D.M., Hansen, A., Watanabe, P.T., Sushch, D., De, E.R., Sturgeon, C.L., Delascagigas, A., A, J.(., Burau, D.J., Agee, J.L., Kieu, L., Kakouros, E., and Baesman, S., 2023, Discrete sample surface-water data for the Sacramento-San Joaquin River Delta: U.S. Geological Survey data release, https://doi.org/10.5066/P9O85MN7.
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Metadata Date 2023-02-16
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Citations of these data No citations of these data are known at this time.
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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2024-04-16T16:50:20.827Z