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"Processed FMI and UBI"×

HERO WEC Belt Test Data

The following submission includes raw and processed data from the 2024 Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC) belt tests conducted using NREL's Large Amplitude Motion Platform (LAMP). A description of the motion profiles run during testing can be f...
Jenne, S. et al National Renewable Energy Laboratory
Sep 01, 2024
7 Resources
0 Stars
Publicly accessible

Version 2 Tidal Energy Resource Characterization, Velocity and Turbulence Measurements, Cook Inlet, AK, 2021

Version 2 of MHKDR submission #475, which also contains the metadata for these measurements. Files here are stored in netCDF4 format, which can be read in Python using the "netcdf4" or "xarray" packages or in MATLAB using the "ncread()" function. Changes are as follows: MWM1 (mi...
Kilcher, L. and McVey, J. Pacific Northwest National Laboratory
Jul 01, 2021
9 Resources
0 Stars
Publicly accessible

Utah FORGE: Area Terrain Slope Data

This archive contains a terrain slope image, in units of degrees, of the Utah FORGE area near Roosevelt Hot springs. The data was derived from 0.5 m resolution LiDAR DEM data and is in a GeoTiff format. It was processed using ArcGIS.
Nash, G. Energy and Geoscience Institute at the University of Utah
Dec 10, 2018
1 Resources
0 Stars
Publicly accessible

Utah FORGE: Drilling Data for Student Competition

Diagnostic drilling data (Pason log files) from Well 58-32 (previously labeled MU-ESW1), which was drilled near Milford Utah during Phase 2B of the FORGE Project to confirm geothermal reservoir characteristics met requirements for the final FORGE site. This dataset includes both ...
Podgorney, R. et al Idaho National Laboratory
Dec 07, 2018
2 Resources
0 Stars
Publicly accessible

Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites

The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to...
Zhu, T. Pennsylvania State University
May 05, 2021
4 Resources
0 Stars
Publicly accessible

Tower TTU (SWiFT) Tower, All levels Processed Data

**Overview** This dataset includes processed sonic anemometer measurements at the 200-m SWIFT tower near Lubbock, Texas on July 4, 2012. Observations are of a canonical convective atmospheric boundary layer. Subgrid stresses and fluxes are computed by subtracting 15-min running a...
Kosovic, B. Wind Energy Technologies Office (WETO)
Jul 03, 2012
1 Resources
0 Stars
Publicly accessible

Pacific Marine Energy Center Laser Doppler Velocimetry Commissioning

First commissioning data for the new laser doppler velocimetry (LDV) system that will be used at the Tyler Flume at the University of Washington. The LDV system can measure three components of velocity at a point. For this dataset the three components were operated in non-coincide...
Williams, O. University of Washington (NNMREC)
Mar 01, 2022
1 Resources
0 Stars
Publicly accessible

EGS Collab Experiment 1: Wireline Geophysical Well Logs

This is the full wireline geophysical datasets for characterization of the EGS Collab Experiment #1 testbed on the 4850 level. A metadata file is included within the dataset explaining the logs, fracture picks, etc. Eight boreholes were drilled for this testbed and each one was lo...
Schwering, P. Lawrence Berkeley National Laboratory
Jan 08, 2018
1 Resources
0 Stars
Publicly accessible

Lidar UT-Dallas WindCube 200S Doppler Lidar Processed Data

**Overview** fixed scan against southeast sonic of 50m, 100m and 150m and supersite at 60m height **Data Quality** unfiltered data **Uncertainty** raw data **Constraints**
Iungo, G. Wind Energy Technologies Office (WETO)
Mar 18, 2015
1 Resources
0 Stars
Publicly accessible

Admiralty Inlet Advanced Turbulence Measurements: June 2014

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) equipped ADVs mounted on Tidal Turbulence Mooring's (TTMs). The TTM positions the ADV head above the seafloor to make mid...
Kilcher, L. National Renewable Energy Laboratory
Jun 30, 2014
26 Resources
0 Stars
Publicly accessible

Utah FORGE: Phase 3 Microgravity Data

A 4D microgravity survey began in early 2019 in order to benchmark surface and subsurface elevations prior to Phase 3 drilling and stimulation campaigns. Microgravity stations are collocated with GPS deformation benchmarks and use the same location survey data. Surveys are underta...
Hardwick, C. Utah Geological Survey
Oct 07, 2020
1 Resources
0 Stars
Publicly accessible

Performance data for an axial-flow turbine with passive adaptive blades

To support the development of simulation tools for passive adaptive turbine rotors, an experimental data set from a laboratory-scale axial-flow turbine with passive adaptive blades is provided. The 0.45-meter diameter turbine was tested in the Alice C. Tyler Flume at the Universit...
Van Ness, K. et al University of Washington
May 01, 2024
1 Resources
0 Stars
Publicly accessible

TEAMER: Vertical Axies Hydrokinetic Turbine Data, Emrgy Inc. 2022, Post Access Submission

The data herein contains all data collected and used for the Performance Characterization Testing and Model Calibration of a Vertical Axis Hydrokinetic Turbine. The data includes performance data and durability data for the Hydrokinetic Turbine. The device performance data contain...
Cuthbert, T. Emrgy, Inc.
Apr 06, 2022
4 Resources
0 Stars
Publicly accessible

Admiralty Inlet Advanced Turbulence Measurements: May 2015

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) equipped ADVs mounted on a 'StableMoor' (Manufacturer: DeepWater Buoyancy) buoy and a Tidal Turbulence Mooring (TTM). Thes...
Kilcher, L. National Renewable Energy Laboratory
May 18, 2015
18 Resources
0 Stars
Publicly accessible

Lidar NOAA High Resolution Doppler Lidar (HRDL) Processed Data

**Data Details** HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
0 Stars
Publicly accessible

Lidar NOAA WindCube 200S Doppler Lidar (Dalek2) Processed Data

**Data Details** Dalek 2, Visitor's Center: lat(40.045), lon(-105), alt(1587m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 07, 2015
1 Resources
0 Stars
Publicly accessible

EGS Collab Experiment 2: Wireline Geophysical Well Logs

This is the full wireline geophysical datasets for characterization of the EGS Collab Experiment #2 testbed. A metadata fill is included within the dataset explaining the logs, fracture picks, etc. Eleven boreholes were drilled for this testbed and each one was logged with north s...
Ulrich, C. and Schwering, P. Lawrence Berkeley National Laboratory
Jul 09, 2019
1 Resources
0 Stars
Publicly accessible

West Flank Coso FORGE: 83-11 Image and Mud Log Data

CBIL and STAR image logs as pre-processed DLIS files, and mud log of well 83-11
Blankenship, D. Sandia National Laboratories
Jul 31, 2009
3 Resources
0 Stars
Publicly accessible

Lidar UMBC WindCube 200S Doppler Lidar Processed Data

**Data Details** UMBC Lidar: Water Tank: lat(40.041) lon(-105) alt(1602) 20150410-20150416 NW Pad: lat(40.051) lon(-105) alt(1578) 20150416-20150428 Visitor's Center: lat(40.045) lon(-105) alt(1587) 20150428 20150502
Brewer, A. Wind Energy Technologies Office (WETO)
Apr 09, 2015
1 Resources
0 Stars
Publicly accessible

Lidar NOAA WindCube 200S Doppler Lidar (Dalek1) Processed Data

**Data Details** Dalek 1 (NOAA) Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150302 20150309 Erie High School: lat(40.047) lon(-105), alt(1582), 20150309 20150426 Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150426 20150601
Brewer, A. Wind Energy Technologies Office (WETO)
Jan 13, 2015
1 Resources
0 Stars
Publicly accessible

Bottom Shear Stress in Lake Erie for Parameterization

2008-2009 bottom currents, turbidity, wind and waves in Lake Erie. The dataset is used for calculating bottom shear stress and evaluating bottom shear stress parameterization methods. Bottom shear stress is the driving force of sediment entrainment. Understanding bottom shear stre...
Lin, S. Uppsala University
Mar 18, 2022
1 Resources
0 Stars
Publicly accessible

Lidar California Leosphere Windcube 866 (120), Humboldt Processed Data

**Overview** The purpose of this dataset is to provide preliminary filtered, averaged lidar data and standardize the data format of various datastreams from the buoy into NetCDF. **Data Quality** Standard filtering thresholds on the averaged data were applied and several data f...
Krishnamurthy, R. Wind Energy Technologies Office (WETO)
Oct 07, 2020
1 Resources
0 Stars
Publicly accessible

Tidal Energy Resource Characterization, Bottom Lander Measurements, Cook Inlet, AK, 2021

These datasets are from tidal resource characterization measurements collected on the Terrasond High Energy Oceanographic Mooring (THEOM) from 1 July 2021 to 30 August 2021 (60 days) in Cook Inlet, Alaska. The lander was deployed at 60.7207031 N, 151.4294998 W in ~50 m of water. ...
Kilcher, L. and McVey, J. National Renewable Energy Laboratory
Jul 01, 2021
25 Resources
0 Stars
Publicly accessible

Geostationary Satellite Retrievals with Irradiances and Cloud Properties / Processed Data

**Overview** The Geostationary Operational Environmental Satellite (GOES) records sky brightness temperatures and irradiances at several wavelengths. From these the cloud microphysical and optical properties can be routinely retrieved. These properties are derived using the techn...
Surleta, T. Wind Energy Technologies Office (WETO)
Apr 13, 2015
1 Resources
0 Stars
Publicly accessible

Lidar ESRL WindCube 200s, Arlington Airport Processed Data

**Overview** The available "readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. If you have any further questions about the data and its interpretation, contact either Alan Brewer (
Brewer, A. and Baidar, S. Wind Energy Technologies Office (WETO)
Sep 24, 2015
1 Resources
0 Stars
Publicly accessible
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