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Grain size of bed sediment surface samples from south San Francisco Bay, California, summer 2020

Metadata Updated: July 6, 2024

Bed sediment samples were collected in south San Francisco Bay on two days in July 2020 to analyze for sediment grain size distributions. Sediment samples were collected from the R/V Snavely near pre-established U.S. Geological Survey instrument moorings using a Gomex or Ponar box corer that was subsampled by scraping the top 0.5 cm of the core. Data are provided in a comma-delimited values spreadsheet.

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 June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/8fccb04234b1a6d08d55e01ea7e9f7ff
Identifier USGS:a171bd80-34e0-40c2-a6b2-238ad72920ab
Data Last Modified 20211015
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 e80dc4d5-238a-48ea-9716-85822111c7bf
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -122.1788,37.5414,-122.1669,37.5491
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash de296d25de24a0d8a414728f34f0c8d9085ffcaf2bd9819c810f6a665c0dde4e
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -122.1788, 37.5414, -122.1788, 37.5491, -122.1669, 37.5491, -122.1669, 37.5414, -122.1788, 37.5414}

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