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GMAINE_median.shp: The median of bottom shear stress for the Gulf of Main south into the Middle Atlantic Bight, May 2010 to May 2011 (Geographic, WGS 84)

Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Release Date
16 July 2014
Modified Date
2 September 2014
Update Frequency
asNeeded
Publishers
U.S. Geological Survey, Department of the Interior
Identifier
gmaine-median-shp-the-median-of-bottom-shear-stress-for-the-gulf-of-main-south-into-the-midd-84
Landing Page
http://catalog.data.gov/dataset/gmaine-median-shp-the-median-of-bottom-shear-stress-for-the-gulf-of-main-south-into-the-midd-84
Temporal Coverage
1 May 2010 — 1 May 2011

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Description

The U.S. Geological Survey has been characterizing the regional variation in shear stress on the sea floor and sediment mobility through statistical descriptors. The purpose of this project is to identify patterns in stress in order to inform habitat delineation or decisions for anthropogenic use of the continental shelf. The statistical characterization spans the continental shelf from the coast to approximately 120 m water depth, at approximately 0.03 degree (2.5-3.75 km, depending on latitude) resolution. Time-series of wave and circulation are created using numerical models, and near-bottom output of steady and oscillatory velocities and an estimate of bottom roughness are used to calculate a time-series of bottom shear stress at 1-hour intervals. Statistical descriptions such as the median and 95th percentile, which are the output included with this database, are then calculated to create a two-dimensional picture of the regional patterns in shear stress. In addition, time-series of stress are compared to critical stress values at select points calculated from observed surface sediment texture data to determine estimates of sea floor mobility.


Información General


Información legal

This dataset has been created by US Government which means it is required to be in the public domain. However US copyright law only allows open access by US citizens, we have assumed the data is equivalently licensed as CC0 for the rest of the world as this is in the spirit of the US Government’s Open Data policy.
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