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High-speed mapping of water isotopes and residence time in Cache Slough Complex, San Francisco Bay Delta, CA
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.
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High-speed mapping of water isotopes and residence time in Cache Slough Complex, San Francisco Bay Delta, CA
공공데이터포털
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.
Chemical and Stable Isotope Data for Discrete Water Samples Collected in the Northern Sacramento-San Joaquin Delta, 2011-2012
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This data set consists of chemical and stable isotope data obtained through the analysis of discrete water samples collected from 14 fixed sampling locations in the northern Sacramento-San Joaquin Delta at roughly monthly intervals between April 2011 and November 2012.
Chemical and Stable Isotope Data for Discrete Water Samples Collected in the Northern Sacramento-San Joaquin Delta, 2011-2012
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This data set consists of chemical and stable isotope data obtained through the analysis of discrete water samples collected from 14 fixed sampling locations in the northern Sacramento-San Joaquin Delta at roughly monthly intervals between April 2011 and November 2012.
Characterization of water residence time, nutrients, phytoplankton and related water quality constituents in the Cache Slough Complex of the California Sacramento-San Joaquin Delta in 2017 and 2018
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Data was collected in the Cache Slough Complex located in the northern San Francisco Estuary to characterize water quality parameters at high spatial resolution. Data collection was conducted on three separate occasions: October 2017, May 2018, and October 2018. Data set includes nitrate, ammonium, ortho-phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, turbidity, chlorophyll, stable isotopes including water isotopes. Measurements were used to calculate evaporation to inflow ratios and water residence time.
Characterization of water residence time, nutrients, phytoplankton and related water quality constituents in the Cache Slough Complex of the California Sacramento-San Joaquin Delta in 2017 and 2018
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Data was collected in the Cache Slough Complex located in the northern San Francisco Estuary to characterize water quality parameters at high spatial resolution. Data collection was conducted on three separate occasions: October 2017, May 2018, and October 2018. Data set includes nitrate, ammonium, ortho-phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, turbidity, chlorophyll, stable isotopes including water isotopes. Measurements were used to calculate evaporation to inflow ratios and water residence time.
Chincoteague Bay surface carbon and nitrogen data from the spring sampling trip of 2014
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Following Hurricane Sandy, scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a seasonal collection of estuarine, marsh, and sandy overwash surface sediments from Chincoteague Bay, Tom’s Cove, and the surrounding Assateague Island and Delmarva Peninsula in March–April and October 2014. Surplus surface sediment was analyzed for metals, percent carbon and nitrogen, d13C, and d15N as part of a complementary U.S. Geological Survey Coastal and Marine Geology Program Sea-level and Storm Impacts on Estuarine Environments and Shorelines project study. The geochemical subsample analyzed for metals and stable isotopes at each site may be used for comparison with past data sets, to create a modern baseline of the natural distribution of the area, to understand seasonal variability as it relates to the health of the local environment, and to assess marsh-to-bay interactions. The use of metals, stable carbon, and stable nitrogen isotopes allows for a more cohesive snapshot of factors influencing the environment and could aid in tracking environmental change. This report serves as an archive for chemical data derived from the surface sediment. Data are available for a seasonal comparison between the March–April 2014 and October 2014 sampling trips. Downloadable data are available as Microsoft Excel spreadsheets. Additional files include formal Federal Geographic Data Committee metadata (data downloads).
Chincoteague Bay surface carbon and nitrogen data from the spring sampling trip of 2014
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Following Hurricane Sandy, scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a seasonal collection of estuarine, marsh, and sandy overwash surface sediments from Chincoteague Bay, Tom’s Cove, and the surrounding Assateague Island and Delmarva Peninsula in March–April and October 2014. Surplus surface sediment was analyzed for metals, percent carbon and nitrogen, d13C, and d15N as part of a complementary U.S. Geological Survey Coastal and Marine Geology Program Sea-level and Storm Impacts on Estuarine Environments and Shorelines project study. The geochemical subsample analyzed for metals and stable isotopes at each site may be used for comparison with past data sets, to create a modern baseline of the natural distribution of the area, to understand seasonal variability as it relates to the health of the local environment, and to assess marsh-to-bay interactions. The use of metals, stable carbon, and stable nitrogen isotopes allows for a more cohesive snapshot of factors influencing the environment and could aid in tracking environmental change. This report serves as an archive for chemical data derived from the surface sediment. Data are available for a seasonal comparison between the March–April 2014 and October 2014 sampling trips. Downloadable data are available as Microsoft Excel spreadsheets. Additional files include formal Federal Geographic Data Committee metadata (data downloads).
Aquatic Stable Isotopes in the Owens River Gorge, CA 2017-2021
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This dataset includes stable nitrogen-15 and carbon-13 isotope analysis data derived from freshwater aquatic and semi-aquatic primary producers, invertebrates, and fishes collected from five sampling sites (and one pilot site) within the Owens River Gorge, Mono and Inyo counties, CA, USA between 2017 and 2021. These sampling efforts were conducted in conjunction with the California Department of Fish and Wildlife’s fish population surveys and invertebrate monitoring. Fishes sampled were Owens Sucker (Catostomus fumeiventris (Miller, 1973)), hybrid Tui Chub (Siphateles bicolor snyderi (Miller, 1973) x Siphateles bicolor obesa (Girard 1856)), Rainbow Trout (Oncorhynchus mykiss (Walbaum, 1792)) and Brown Trout (Salmo trutta (Linnaeus, 1758)). Invertebrates sampled included 33 taxa and primary producers sampled consisted predominantly of stems and leaves of vascular macrophytes and non-vascular primary producers consisting of 22 taxa. This dataset includes all organism metadata (Dissection_Table.csv, Eye_Table.csv) and N15 and C13 stable isotope analysis data (Isotope_Table.csv) derived from the invertebrates, vegetation, and a representative subset of the fishes collected in this study. These data were collected to assess the effects of restoration flows on aquatic food webs and fish communities in the Owens River Gorge.
Shallow Sediment Geochemical Data for the Cache Creek Settling Basin, Yolo County, California, 2010–17
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This dataset includes shallow surface sediment (top 0–2 cm interval) constituent concentration data (primarily) and microbial methylmercury production potential rate data (limited) collected from the Cache Creek Settling Basin (CCSB), Yolo County, California, between April 2010 and July 2017. The dataset includes up to 706 observations (including field replicates) per sediment parameter, reflecting 93 unique sampling locations, with each location having been sampled from 1 to 28 times (excluding field replicates) over this 8-year period. There were four spatially intensive field campaigns conducted (February–March 2013, May 2013, October–November 2014, and January–March 2015), during which at least 90 sites were sampled. A sub-set of 13 sites were sampled intensively (20–28 times, primarily during 2015–2017) to create a more detailed monthly time-series at these locations. Sampling was conducted over a range of hydrologic conditions, from periods when the basin was essentially dry (no overlying water, even in ‘open-water’ habitats) to periods when the basin was nearly fully flooded (most sites with overlying water). This data release includes six data tables given both as excel (*.xlxs) and machine readable format (*.csv): 1) ‘CCSB.SED_data.dictionary’, the Data Dictionary, which provides definitions and details related to the other five data tables and includes citations of analytical methods; 2) ‘CCSB.SED_2010-17’, the primary dataset with spatial/temporal sediment and pore water analyses; 3) ‘CCSB.SED_seq’, a sub-set of sediment samples (33 sites collected during May 2013) assayed for Hg using a 5-fraction sequential extraction procedure; 4) ‘CCSB.SED_grain.size’, data on detailed sediment grain-size distribution (by laser-scattering Coulter counter) for 615 unique samples (plus n=65 field duplicates); 5) ‘CCSB.SED_size.frac’, a sub-set of sediment samples (33 sites collected during May 2013) size-fractioned into 5 size classes and assayed for total mercury and limited suite of parameters, including particulate surface area (at 15 of the 33 sites); and 6) ‘CCSB.SED¬_QA’, quality assurance data summary. The mapping of the physical site locations can be found on the companion child page associated with this product (‘see associated items’).
Shallow Sediment Geochemical Data for the Cache Creek Settling Basin, Yolo County, California, 2010–17
공공데이터포털
This dataset includes shallow surface sediment (top 0–2 cm interval) constituent concentration data (primarily) and microbial methylmercury production potential rate data (limited) collected from the Cache Creek Settling Basin (CCSB), Yolo County, California, between April 2010 and November 2019. The dataset includes up to 723 observations (including field replicates) per sediment parameter, reflecting 93 unique sampling locations, with each location having been sampled from 1 to 29 times (excluding field replicates) over this 10-year period. There were four spatially intensive field campaigns conducted (February–March 2013, May 2013, October–November 2014, and January–March 2015), during which at least 90 sites were sampled. A sub-set of 13 sites were sampled intensively (20–29 times, primarily during 2015–2017, and 2019) to create a more detailed monthly time-series at these locations. Sampling was conducted over a range of hydrologic conditions, from periods when the basin was essentially dry (no overlying water, even in ‘open-water’ habitats) to periods when the basin was nearly fully flooded (most sites with overlying water). Analyses in this dataset include: bulk sediment: total mercury, methyl mercury, reactive mercury(ll), iron speciation, total reduced sulfur, loss on ignition, dry weight, bulk density, porosity, grain-size (sieved), grain size distribution; pore water: total mercury, methyl mercury, dissolved organic carbon, sulfate, chloride, sulfide, and isotopic delta 34-S of sulfate. This data release is a revision, which includes six data tables given both as excel (*.xlsx) and machine readable (comma-separated values, *.csv) format: 1) ‘T1_CCSB_SED_data_dictionary _ver2.0’, the Data Dictionary, which provides definitions and details related to the other five data tables and includes citations of analytical methods; 2) ‘T2_CCSB_SED_ver2.0’, the primary dataset with spatial/temporal sediment and pore water analyses; 3) ‘T3_CCSB_SED_seq_extr’, a sub-set of sediment samples (33 sites collected during May 2013) assayed for Hg using a 5-fraction sequential extraction procedure; 4) ‘T4_CCSB_SED_grain_size_ver2.0’, data on detailed sediment grain-size distribution (by laser-scattering) for 630 unique samples (plus n=67 field duplicates); 5) ‘T5_CCSB_SED_size_frac’, a sub-set of sediment samples (33 sites collected during May 2013) size-fractioned into 5 size classes and assayed for total mercury and limited suite of parameters, including particulate surface area (15 of the 33 sites); and 6) ‘T6_CCSB_SED_QA_ver2.0’, quality assurance data summary. The mapping of the physical site locations can be found on the companion child page associated with this product (https://www.sciencebase.gov/catalog/item/607625f2d34e018b3201cc1b) First posted – October 16, 2018 (available from author) Revised – July, 2021 (version 2.0)