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Sediment grain size from the Elwha River, Washington, 2006 to 2017

Metadata Updated: July 6, 2024

The grain size of sediment on the riverbed was measured during 20 surveys on the Elwha River, Washington, between 2006 and 2017. Most data were collected along the same transects where channel topography was measured (see related child item in this data release: https://www.sciencebase.gov/catalog/item/5a989288e4b06990606de04b). Measurements of sediment ranging from medium sand to boulders were made using the CobbleCam digital photographic technique (Warrick and others, 2009), which uses a calibrated autocorrelation algorithm (Rubin, 2004) to calculate the mean grain size of sediment from pixels in downward-looking digital photographs. This technique yields grain-size values accurate to within 14 percent of those obtained by pebble counting (Wolman, 1954; Warrick and others, 2009). For samples finer than medium sand, we measured grain size using a Coulter laser particle-size analyzer at the USGS laboratory in Santa Cruz, California. Grain size was measured along subaerial portions of the survey transects within the bankfull channel. We also measured grain size of some sediment deposited after dam removal that did not coincide with survey transects (these sample locations are labeled “OffTransect” in the data file). References: Rubin, D.M., 2004, A simple autocorrelation algorithm for determining grain size from digital images of sediment: Journal of Sedimentary Research 74, p. 160–165, https://doi.org/10.1306/052203740160. Warrick, J.A., Rubin, D.M., Ruggiero, P., Harney, J.N., Draut, A.E., and Buscombe, D., 2009, Cobble Cam: grain-size measurements of sand to boulder from digital photographs and autocorrelation analyses: Earth Surface Processes and Landforms 34, p. 1811–1821, https://doi.org/10.1002/esp.1877. Wolman, M.G., 1954, A method of sampling coarse river-bed material: Eos Trans. AGU 35, p. 951–956, https://doi.org/10.1029/TR035i006p00951.

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
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Identifier USGS:5a6fbc11e4b06e28e9cad6f6
Data Last Modified 20201019
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
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Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -123.625,47.95437,-123.54,48.151755
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 675a63ff2f834bb4043c5f4eab7c53c434c58dbb051da2c657fdd4d651c3a982
Source Schema Version 1.1
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