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High-speed mapping of water isotopes and residence time in Cache Slough Complex, San Francisco Bay Delta, CA

Metadata Updated: October 28, 2023

Real-time, high frequency (1-second sample interval) GPS location, water quality, and water isotope (δ2H, δ18O) data was collected in the Cache Slough Complex (CSC), located in the northern San Francisco Bay Delta (SFBD). Data was collected on 10/01/2014 for an approximate 4-hour period (10:30 – 14:30 h PST) while underway on the R/V Mary Landsteiner, a 26-foot USGS vessel. Sample water was pumped continuously through a pickup tube, passed through a 178 micron pre-filter, a de-bubbler, and diverted through a 0.2 micron filter and an unfiltered flow path to water quality instrumentation. The real-time data were recorded using a Campbell Scientific CR-6 data logger. Water isotopes (δ2H, δ18O) were logged to a separate CSV file in real-time. Methods of collection and instrumentation configuration are outlined in Downing et al. 2016. Water quality data was processed using a Microsoft Excel (v. 15.0) macro designed to remove outliers using a 20 second median, followed by a 30 second average. Isotope data was normalized to the VSMOW-SLAP scale using methods described in Downing et al. 2016. Data was merged into one Microsoft Excel file in MATLab. The data file includes: date, time, latitude, longitude, estimated boat distance, estimated boat speed, temperature, specific conductance, pH, dissolved oxygen, turbidity, fDOM, Chlorophyll-a, Phycocyanin, transmission and attenuation (670 nm), nitrate, water isotopes (δ2H, δ18O), calculated evaporation to inflow ratio, standard deviation of evaporation to inflow ratio, calculated water residence time, and standard deviation of water residence time. These data support the following publication: Using continuous underway isotope measurements to map water residence time in hydrodynamically complex tidal environments. Downing, B.D., Brian A. Bergamaschi, Carol Kendall, Tamara E.C. Kraus, Kate J. Dennis, Jeffery A. Carter, and Travis S. von Dessonneck. Environmental Science & Technology 2016 50 (24), 13387 – 133396. DOI: 10.1021/acs.est.6b05745.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date May 31, 2023
Metadata Updated Date October 28, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date May 31, 2023
Metadata Updated Date October 28, 2023
Publisher U.S. Geological Survey
Maintainer
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Identifier USGS:5888e591e4b05ccb964c2824
Data Last Modified 20200812
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 58893dbc-674b-469f-87d7-85e358330df7
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -121.7422485339,38.082345153906,-121.62689208858,38.20331149766
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 5e33ddaad520cbb2e7eb4f7a523ebcbfa485673433f9bbc44b1a9c8d7f447220
Source Schema Version 1.1
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