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NREL MOIS Data for NWEI Azura February 2016

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, ...

Nelson, E. National Renewable Energy Laboratory

May 31, 2016
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NREL MOIS Data for NWEI Azura March 2016

Nelson, E. National Renewable Energy Laboratory

May 31, 2016
16 Resources
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NREL MOIS Data for NWEI Azura April 2016

Nelson, E. National Renewable Energy Laboratory

May 31, 2016
15 Resources
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NREL MOIS Data for NWEI Azura June 2016

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navys Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, H...

Nelson, E. National Renewable Energy Laboratory

Jun 30, 2016
16 Resources
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NREL MOIS Data for NWEI Azura August 2016

Nelson, E. National Renewable Energy Laboratory

Oct 03, 2016
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NREL MOIS Data for NWEI Azura September 2016

Nelson, E. National Renewable Energy Laboratory

Oct 07, 2016
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UAE6 Wind Tunnel Tests Data UAE6 Sequence 7 Raw Data

**Overview** Sequence 7: Shroud Operating (P) This test sequence used a downwind, rigid turbine with a 3.4° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Turntable angles from 0° to 30° were achieved, but the yaw error angle was maintained at 0° by adjusting the na...

Fingersh, L. Wind Energy Technologies Office (WETO)

Nov 28, 2018
1 Resources
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Sodar Colorado City, TX Processed Data

**Overview** This dataset was produced from the raw sodar .txt files from the Colorado City, TX site during the WFIP1 campaign. Quality control and formatting have been applied to transform the numerous raw files into a single file to provide user friendliness and improved wind r...

Sheridan, L. Wind Energy Technologies Office (WETO)

Jul 14, 2011
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Radar ARL Wind Profilerwith RASS, Boardman Raw Data

**Overview** **Winds** A radar wind profiler measures the Doppler shift of electromagnetic energy scattered back from atmospheric turbulence and hydrometeors along 3-5 vertical and off-vertical point beam directions. Back-scattered signal strength and radial-component velocities ...

Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)

Oct 28, 2015
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Radar ESRL Wind Profiler with RASS, Condon Raw Data

Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)

Oct 28, 2015
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Radar ESRL Wind Profiler with RASS, Prineville Raw Data

Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)

Oct 28, 2015
1 Resources
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Radar ESRL Wind Profiler with RASS, Troutdale Raw Data

Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)

Dec 01, 2015
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Radar ESRL Wind Profiler with RASS, Wasco Airport Raw Data

Wilczak, J. and King, C. Wind Energy Technologies Office (WETO)

Oct 28, 2015
1 Resources
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Analyzed Boise Data for Oscillatory Hydraulic Tomography

Data here has been "pre-processed" and "analyzed" from the raw data submitted to the GDR previously (raw data files found at http://gdr.openei.org/submissions/479. doi:10.15121/1176944 after 30 September 2017). First, we submit .mat files which are the "pre-processed" data (must h...

Lim, D. University of Wisconsin

Jul 01, 2015
8 Resources
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Fallon FORGE: Seismic Reflection Profiles

Newly reprocessed Naval Air Station Fallon (1994) seismic lines: pre-stack depth migrations, with interpretations to support the Fallon FORGE (Phase 2B) 3D Geologic model. Data along seven profiles (>100 km of total profile length) through and adjacent to the Fallon site were re-...

Blankenship, D. et al Sandia National Laboratories

Feb 01, 2018
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STRESSINVERSE Software for Stress Inversion

The STRESSINVERSE code uses an iterative method to find the nodal planes most consistent with the stress field given fault frictional properties. STRESINVERSE inverts the strike, rake and dip from moment tensor solutions for the in-situ state of stress. The code iteratively solves...

Gritto, R. Array Information Technology

Oct 31, 2018
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Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption

The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse AMI devices and PMUs in order to accommodate extreme levels of PV. For this goal, w...

Ayyanar, R. et al Arizona State University

Feb 01, 2025
2 Resources
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In curation

Microwave Radiometer CU Radiometrics MWR, Condon Raw Data

**Overview** These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km. **Data Details** All output files are named automatically using the following format: yyyy-mm-dd_hh-mm-ss_xxx.csv, where yyyy...