Online Links:
Online Links:
Image-type = giTIFImage CoreID = DR1223 VC-731 SEC# Photo Section-number = 1 Image-number = 1 Physical Width = 8.57 Physical Height = 149.30 Physical Top = 0.00 Pixels Per Scan = 5 Pixels per CM = 100 Horizontal Resolution = 100 Exposure time ms = 20 Calibration Aperture = 12.41 Image Aperture = 4.07 Red High Calibration = 18.0 Green High Calibration = 18.0 Blue High Calibration = 18.0 Red Low Calibration = 0.0 Green Low Calibration = 0.0 Blue Low Calibration = 0.0 Pixel Width = 859 Scan Lines = 14950 Filename = IM001_01.tif Geotek camera lighting version="2" mode="visible" Bank2cluster1="0" Bank2cluster2="0" Bank2cluster3="0" Bank2cluster4="0" Bank1cluster1="0" Bank1cluster2="0" Bank1cluster3="0" Bank1cluster4="0" Convg-x-red=0 Convg-x-green = 0 Convg-x-blue = 0 Convg-y-red = 0 Convg-y-green = 2 Convg-y-blue = 4 geotek-image(Source: Geotek) example only
This dataset was collected in order to identify shallow geohazards, benthic habitats, and thereby the potential for alternative energy infrastructure (namely floating wind turbines) offshore south-central California due to its proximity to power grid infrastructure associated with the Morro Bay power plant.
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 (USGS) as the originator of the dataset and in products derived from these data.
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.
Data format: | 2019-667-FA_Nov2019vibracore.zip contains photographs of split vibracores archived using the tar.gz command. The data are divided up and presented by core sample, as reflected in the individual file name(s). File_Decompression_Technique: Use WinZip or pkUnzip in format TIFF (version NA) |
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Network links: |
https://doi.org/10.5066/P9E2OP35 |
These data can be viewed with adobe acrobat.