Sediment Database and Geochemical Assessment of Lake Pontchartrain Basin
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Detailed chemical, station (source and documentation, sample locations), and texture data are provided for bottom sediments of Lake Pontchartrain, Louisiana. The sediment data are provided as spreadsheet (Microsoft Excel), database (Microsoft Access), and tab-delimited files on CD-ROM and web site. The browser format is the same for both mediums. These data are in the form of appendixes at the end of the report, which provides extensive supporting data, interpretive diagrams, and discussion. The data were obtained from a variety of sources: published reports, theses, unpublished data from agencies and organizations in Louisiana, and Federal agencies such as the U.S. Army Corps of Engineers, U.S. Environmental Protection Agency, NOAA, National Status and Trends benthic surveillance program, and U.S. Geological Survey (publications and new field data).
Sediment Database and Geochemical Assessment of Lake Pontchartrain Basin
공공데이터포털
Detailed chemical, station (source and documentation, sample locations), and texture data are provided for bottom sediments of Lake Pontchartrain, Louisiana. The sediment data are provided as spreadsheet (Microsoft Excel), database (Microsoft Access), and tab-delimited files on CD-ROM and web site. The browser format is the same for both mediums. These data are in the form of appendixes at the end of the report, which provides extensive supporting data, interpretive diagrams, and discussion. The data were obtained from a variety of sources: published reports, theses, unpublished data from agencies and organizations in Louisiana, and Federal agencies such as the U.S. Army Corps of Engineers, U.S. Environmental Protection Agency, NOAA, National Status and Trends benthic surveillance program, and U.S. Geological Survey (publications and new field data).
Sediment core data from Henrys Lake, Idaho
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TThis data release includes measurements of properties from sedimentary cores collected from Henrys Lake in Idaho. We present a CSV with basic information about the cores (e.g., length, collection location, water depth), and three CSVs with the fallout radionuclide (FRN), particle size analysis (PSA), and radiocarbon (RC) data. It also has three child items with x-ray computed tomography (CT) scan images, line image scans, and multisensory core log (MSCL) data for the seven cores from Henry’s Lake, and magnetic susceptibility point (MSP) data for select cores.
Geochemical data for water, sediment, and biota in Lake Combie, California, 2017-2021
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This dataset includes field measurements and laboratory analyses of surface water, bottom water (sediment-water interface), surficial (0-2 cm) sediment, pore water (0-2 cm), and biota collected in Lake Combie, California, from September 2017 through August 2021. The study area includes six sites within the reservoir where discrete samples of surface water, bottom water, sediment, and pore water were taken along the length of the reservoir at the following distances from the spillway: 0.07 miles, 0.5 miles, 0.9 miles, 1.2 miles, 1.3 miles, and 1.4 miles. The within-reservoir sites were sampled during September 2017, February 2018, and May 2018, prior to a large sediment removal operation, and again during September 2019, February 2020, and June 2020 following the removal operation. Zooplankton samples were collected at four of the six sites during the sampling period. Fish were collected from within two regions of the lake: in the Wooley Creek arm of the lower reservoir, and in the upper reservoir near the targeted area for sediment removal operations. Vertical profiles of water quality were measured with a multi-parameter sonde during water collection events and during one zooplankton event. Thirty-six surface water and thirty-six bottom water samples were collected at each site and analyzed for total mercury (filtered and particulate), methylmercury (filtered and particulate), total suspended solids, sulfate, chloride, selected dissolved nutrients, particulate 13-C/12-C and 15-N/14-N isotopic ratios, total particulate carbon and nitrogen, particulate carbon to nitrogen molar ratio, dissolved organic carbon, and dissolved organic-matter properties (absorption and fluorescence). Thirty-six bed-sediment samples were analyzed for total mercury, methylmercury, total reduced sulfur, and organic content. Pore water extracted from bed sediment was analyzed for filtered total mercury, filtered methylmercury, sulfate, chloride, selected dissolved nutrients, and dissolved organic carbon. Surface water, bottom water, and sediment collections included an additional four field replicates each for analysis - pore water had six replicates. One hundred six zooplankton samples and twenty-three replicates were analyzed for total mercury, methylmercury, 13-C/12-C isotopic ratio, and 15-N/14-N isotopic ratio. Two hundred ninety fish samples were analyzed for total mercury, methylmercury, 13-C/12-C isotopic ratio, 15-N/14-N isotopic ratio, and total mass carbon and nitrogen. Water-quality field measurements made with a multi-parameter sonde included water temperature, barometric pressure, specific conductance, dissolved oxygen, pH, and turbidity. The within-reservoir data includes seven data tables given as both machine readable tab-delimited text (*.txt) and Excel formats (*.xlsx): 1) DataDictionary_LCR17-21, the data dictionary, which provides definitions and details related to the six other data tables, and includes citations of analytical methods; 2) SurfWater_Field-Lab_LCR17-20, the surface water and bottom water data table; 3) Sediment_LCR17-20; 4) PoreWater_LCR17-20; 5) Zooplankton_LCR17-20; 6) Fish_LCR18-21; and 7) SurfWater_Profiles_LCR17-20.
16CCT04 metadata: Sedimentary Data From Grand Bay, Alabama/Mississippi, 2014-2016
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This data release is an archive of sedimentary field and laboratory analytical data collected in Grand Bay, Alabama/Mississippi from 2014-2016 by scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC). This work, a component of the SPCMSC’s Sea-level and Storm Impacts on Estuarine Environments and Shorelines (SSIEES) project, provides the necessary data to quantify sedimentation rates and sediment sources for the marsh and estuary. The SSIEES project objective is to evaluate the exchange of sediment material between the marsh and estuary due to extreme storms and sea-level rise. Micropaleontological data from select cores and surface samples are available in Haller and others (2018, https://doi.org/10.5066/F7MC8X5F, https://doi.org/10.5066/F7445KSG). Single-beam bathymetry of Grand Bay proper and multi-beam bathymetry of several marsh-edge eroding shorelines are reported in Dewitt and others (2017, https://doi.org/10.3133/ds1070) and Stalk and others (2018, https://doi.org/10.5066/F7MC8Z9N), respectively. Subbottom and sidescan sonar data for Grand Bay proper are reported in Locker and others (2018, https://doi.org/10.5066/P9374DKQ). This publication includes data for the sediment cores and surface sediments taken in Grand Bay marsh and estuary during five sampling periods of this study, which were designated as USGS Field Activity Numbers (FAN) 2014-323-FA (project ID 14CCT01), 2015-315-FA (project ID 15CCT02), 2016-331-FA (project ID 16CCT03), 2016-348-FA (project ID 16CCT04), and 2016-358-FA (project ID 16CCT07). Data products include: GPS-derived site locations and elevations; core photographs,logs, and x-radiographs; lithologic, radiochemical, elemental composition, stable isotopic composition, and radiocarbon data; and Federal Geographic Data Committee (FGDC) metadata.
16CCT04 metadata: Sedimentary Data From Grand Bay, Alabama/Mississippi, 2014-2016
공공데이터포털
This data release is an archive of sedimentary field and laboratory analytical data collected in Grand Bay, Alabama/Mississippi from 2014-2016 by scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC). This work, a component of the SPCMSC’s Sea-level and Storm Impacts on Estuarine Environments and Shorelines (SSIEES) project, provides the necessary data to quantify sedimentation rates and sediment sources for the marsh and estuary. The SSIEES project objective is to evaluate the exchange of sediment material between the marsh and estuary due to extreme storms and sea-level rise. Micropaleontological data from select cores and surface samples are available in Haller and others (2018, https://doi.org/10.5066/F7MC8X5F, https://doi.org/10.5066/F7445KSG). Single-beam bathymetry of Grand Bay proper and multi-beam bathymetry of several marsh-edge eroding shorelines are reported in Dewitt and others (2017, https://doi.org/10.3133/ds1070) and Stalk and others (2018, https://doi.org/10.5066/F7MC8Z9N), respectively. Subbottom and sidescan sonar data for Grand Bay proper are reported in Locker and others (2018, https://doi.org/10.5066/P9374DKQ). This publication includes data for the sediment cores and surface sediments taken in Grand Bay marsh and estuary during five sampling periods of this study, which were designated as USGS Field Activity Numbers (FAN) 2014-323-FA (project ID 14CCT01), 2015-315-FA (project ID 15CCT02), 2016-331-FA (project ID 16CCT03), 2016-348-FA (project ID 16CCT04), and 2016-358-FA (project ID 16CCT07). Data products include: GPS-derived site locations and elevations; core photographs,logs, and x-radiographs; lithologic, radiochemical, elemental composition, stable isotopic composition, and radiocarbon data; and Federal Geographic Data Committee (FGDC) metadata.