Hydrodynamic time-series data from three locations in the Sacramento-San Joaquin Delta, California, 2017 to 2018

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Frequently anticipated questions:

What does this data set describe?

Title:
Hydrodynamic time-series data from three locations in the Sacramento-San Joaquin Delta, California, 2017 to 2018
Abstract:
Hydrodynamic and sediment transport time-series data, including water depth, velocity, turbidity, conductivity, and temperature, were collected by the U.S. Geological Survey (USGS) Pacific Coastal and Marine Science Center at three locations in the Sacramento-San Joaquin Delta. Data were collected in Lindsey Slough in April 2017, and Middle River and the Mokelumne River in March 2018. Data files are grouped by location. At each of the three sites, data were collected at stations outside and within patches of vegetation, to determine how submerged invasive vegetation influences tidal currents and suspended-sediment concentration. The Table below shows the data types collected at each station, and classifies stations as Vegetated (V) or Unvegetated (U). These data were collected as part of a study of the effects of invasive aquatic vegetation on sediment transport in the Sacramento-San Joaquin Delta. At times, vegetation caught on instrument frames (both within and outside patches) compromised data quality. Users are advised to check data quality carefully, and to check metadata and instrument information, as individual instrument deployment times vary.
Supplemental_Information:
Additional information about the field activities from which these data were derived is available online at: https://cmgds.marine.usgs.gov/fan_info.php?fan=2017-616-FA https://cmgds.marine.usgs.gov/fan_info.php?fan=2017-675-FA https://cmgds.marine.usgs.gov/fan_info.php?fan=2018-609-FA Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this Federal Geographic Data Committee-compliant metadata file is intended to document the data set in nonproprietary form, as well as in Esri format, this metadata file may include some Esri-specific terminology.
  1. How might this data set be cited?
    Lacy, Jessica R., Joanne C. T. Ferreira, and Allen, Rachel M., 20200518, Hydrodynamic time-series data from three locations in the Sacramento-San Joaquin Delta, California, 2017 to 2018: data release doi:10.5066/P9112AIP, U.S. Geological Survey, Pacific Coastal and Marine Science Center Santa Cruz, California.

    Online Links:

    This is part of the following larger work.

    Lacy, Jessica R., Joanne C. T. Ferreira, Dailey, Evan T., Dartnell, Peter, Drexler, Judith Z., Allen, Rachel M., and Stevens, Andrew, 2020, Sediment transport and aquatic vegetation data from three locations in the Sacramento-San Joaquin Delta, California, 2017 to 2018: data release doi:10.5066/P9112AIP, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, California.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -121.7089
    East_Bounding_Coordinate: -121.5289
    North_Bounding_Coordinate: 38.251
    South_Bounding_Coordinate: 37.94614
  3. What does it look like?
    https://www.sciencebase.gov/catalog/file/get/5ac6a5abe4b0e2c2dd0e2fdf?name=Hydrodynamic_time_series_sampling_locations.jpg&allowOpen=true (JPEG)
    Image map showing 2017-2018 hydrodynamic time series sampling locations
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 04-Apr-2017
    Ending_Date: 28-Mar-2018
    Currentness_Reference:
    Ground condition at time data were collected.
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: NetCDF files
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      Indirect_Spatial_Reference:
      Data were collected continuously at survey locations. Refer to self-contained NetCDF files for more location information.
    2. What coordinate system is used to represent geographic features?
      Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 1.0E-5. Longitudes are given to the nearest 1.0E-5. Latitude and longitude values are specified in Decimal degrees. The horizontal datum used is World Geodetic System 1984 (WGS84).
      The ellipsoid used is WGS84.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257223563.
  7. How does the data set describe geographic features?
    Entity_and_Attribute_Overview:
    NetCDF files are self-contained and attribute information may be found in the header of the file itself.
    Entity_and_Attribute_Detail_Citation:
    The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Jessica R. Lacy
    • Joanne C. T. Ferreira
    • Rachel M. Allen
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    U.S. Geological Survey, Pacific Coastal and Marine Science Center
    Attn: PCMSC Science Data Coordinator
    2885 Mission Street
    Santa Cruz, CA
    US

    831-427-4747 (voice)
    pcmsc_data@usgs.gov

Why was the data set created?

The data were collected to determine how submerged invasive vegetation influences tidal currents, suspended-sediment concentration, and sediment flux. The survey was conducted as part of a cooperative project, with the USGS California Water Science Center and the California Department of Fish and Wildlife, to provide critical data about the impact of Invasive Aquatic Vegetation (IAV) on fish habitat and the health of marshes to agencies that manage and control IAV in the Delta. These data are intended for science researchers, students, policy makers, and the general public.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 03-Apr-2017 (process 1 of 8)
    Instruments deployed in Lindsey Slough. Instruments included in deployment are: RBR solo DWave and TWR-2050 bursting pressure sensors, RBR CTD, Seapoint turbidity meter, Nortek single point acoustic doppler velocimeter, Nortek acoustic doppler profiler, RDInstruments acoustic doppler current profiler.
    Date: 17-Apr-2017 (process 2 of 8)
    Instruments were retrieved and the data from the retrieved instruments were post-processed using manufacturers software packages and USGS matlab codes.
    Date: 12-Mar-2018 (process 3 of 8)
    Instruments deployed in Middle River and Mokelumne River sites. Instruments included in deployment are: RBR TWR-2050 and Duo bursting pressure sensors, RBR CTD, Seapoint turbidity meter, Nortek single point acoustic doppler velocimeter, Nortek acoustic doppler profiler, RDInstruments acoustic doppler current profiler.
    Date: 27-Mar-2018 (process 4 of 8)
    Instruments were retrieved and the data from the retrieved instruments were post-processed using manufacturers software packages and USGS matlab codes.
    Date: 18-Feb-2020 (process 5 of 8)
    Data were accumulated into NetCDF files. During post-processing, data collected when instruments were out of the water were removed from the time series. Bad data points identified by 1) the deployment and recovery times, 2) data flagged as erroneous by the manufacturer, 3) amplitude or correlation values outside of predetermined quality thresholds for the velocimeter, were removed. The files include data of intermittent poor quality due to interference by vegetation caught on frames. In a few datasets with persistent vegetative interference the compromised data were removed, as noted in the associated metadata. Turbidity data are raw unless otherwise noted, and include high values that may be attributable to vegetation. Use of these data requires careful assessment of data quality.
    Date: 10-Apr-2020 (process 6 of 8)
    Files were named with a convention that uses a 12- to 15-digit alpha-numeric code. The first three characters for this dataset are all 'IAV' for the experiment name; the fourth and fifth positions represent the calendar year in which the first data point in the file was taken (18, 2018); the sixth, seventh and eighth characters are an alphanumeric code for the site name (DNA, DNB etc.); the ninth and tenth characters represent the instrument position on the platform, where 01 is the top-most. Next is a two- or three-character code for the instrument type (vec, Norteks Acoustic Doppler Velocimeter; aqd, Norteks Acoustic Doppler Profiler; pt, RBRs bursting pressure sensor with temperature; ctd, RBRs CTD; tu, RBRs Virtuoso turbidity sensor; ls, Sequoia Scientifics LISST). There are an additional 2 characters for instruments that collect in a bursting pattern to indicate whether the file includes the burst data (-b) or the statistics and/or singular observations of the burst (-s). This indicator is omitted if there is no bursting pattern.
    Date: 19-Oct-2020 (process 7 of 8)
    Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed. Person who carried out this activity:
    U.S. Geological Survey
    Attn: VeeAnn A. Cross
    Marine Geologist
    384 Woods Hole Road
    Woods Hole, MA

    508-548-8700 x2251 (voice)
    508-457-2310 (FAX)
    vatnipp@usgs.gov
    Date: 13-Oct-2021 (process 8 of 8)
    Performed minor edits to the metadata to correct typos. No data were changed. Person who carried out this activity:
    U.S. Geological Survey
    Attn: Susan A. Cochran
    Geologist
    2885 Mission Street
    Santa Cruz, CA

    831-460-7545 (voice)
    scochran@usgs.gov
  3. What similar or related data should the user be aware of?

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    No formal attribute accuracy tests were conducted.
  2. How accurate are the geographic locations?
    Horizontal accuracy derived from GPS instrumentation is less than 1 m.
  3. How accurate are the heights or depths?
    There are two sources of uncertainty associated with vertical positioning of the instruments: 1) the measuring tools used during instrument mounting, 2) the amount of settling that occurs during deployment. There was no evidence that the platforms settled to a large degree. Combined sources result in an uncertainty of 5 cm.
  4. Where are the gaps in the data? What is missing?
    Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.
  5. How consistent are the relationships among the observations, including topology?
    No formal logical accuracy tests were conducted. Data fall within expected ranges.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints: none
Use_Constraints:
USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey as the originators of the dataset and in products derived from these data. This information is not intended for navigation purposes.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey - ScienceBase
    Denver Federal Center, Building 810, Mail Stop 302
    Denver, CO
    USA

    1-888-275-8747 (voice)
    sciencebase@usgs.gov
  2. What's the catalog number I need to order this data set? These data are available in zipped NetCDF format and CSDGM FGDC-compliant metadata.
  3. What legal disclaimers am I supposed to read?
    Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
  4. How can I download or order the data?
  5. What hardware or software do I need in order to use the data set?
    The downloadable data file has been compressed with the "zip" command and can be unzipped with Winzip or other archive utilites. To utilize these data, the user must have software capable of uncompressing the WinZip file and importing and viewing a NetCDF file. These data can be viewed with the NOAA netCDF file viewer, ncBrowse, which can be downloaded from the internet at https://www.pmel.noaa.gov/epic/java/ncBrowse.

Who wrote the metadata?

Dates:
Last modified: 13-Oct-2021
Metadata author:
PCMSC Science Data Coordinator
U.S. Geological Survey, Pacific Coastal and Marine Science Center
2885 Mission Street
Santa Cruz, CA
United States

831-427-4747 (voice)
pcmsc_data@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/pcmsc/DataReleases/ScienceBase/DR_P9112AIP/Hydrodynamic_time_series_data_Sacramento-San_Joaquin_Delta_2017-2018.faq.html>
Generated by mp version 2.9.50 on Thu Oct 14 14:47:21 2021