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Federal
Processed Lab Data for Neural Network-Based Shear Stress Level Prediction
Department of Energy —
Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic... -
Federal
Underwater Mapping Results for Seabotix vLBV300 Vehicle with Tritech Gemini 720i Imaging Sonar near Newport, OR
Department of Energy —
This document presents results from tests to demonstrate underwater mapping capabilities of an underwater vehicle in conditions typically found in marine renewable... -
Federal
Admiralty Inlet Hub-Height Turbulence Measurements from June 2012
Department of Energy —
This data is from measurements at Admiralty Head, in Admiralty Inlet. The measurements were made using an IMU equipped ADV mounted on a mooring, the 'Tidal Turbulence... -
Federal
ALFA Station Keeping Results for Seabotix vLBV300 Underwater Vehicle near Newport, OR
Department of Energy —
This data set presents results testing the station keeping abilities of a tethered Seabotix vLBV300 underwater vehicle equipped with an inertial navigation system.... -
Federal
Admiralty Inlet Advanced Turbulence Measurements: June 2014
Department of Energy —
This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in June of 2014. The measurements were made using Inertial Motion Unit (IMU)... -
Federal
Admiralty Inlet Advanced Turbulence Measurements: Final Data and Code Archive
Department of Energy —
Data and code that is not already in a public location that is used in Kilcher, Thomson, Harding, and Nylund (2017) "Turbulence Measurements from Compliant Moorings -... -
Federal
Admiralty Inlet Advanced Turbulence Measurements: May 2015
Department of Energy —
This data is from measurements at Admiralty Head, in Admiralty Inlet (Puget Sound) in May of 2015. The measurements were made using Inertial Motion Unit (IMU)...