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January 2014 Dixie Valley Binary Cycle Production Data Report

DOE Report of the binary cycle production data from Dixie Valley for January, 2014. Includes summarized data, operations, outages, and curtailments in order to support the techno-economic feasibility of utilizing the available unused heat to generate additional electric power from...

Brown, D. Terra-Gen Sierra Holdings, LLC

Feb 05, 2014
1 Resources
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Energy Intensity Indicators in the U.S.: Industrial Sector (1949 2004)

Energy intensity data and documentation published by the U.S. DOE's office of Energy Efficiency and Renewable Energy (EERE). Energy intensity is defined as: amount of energy used in producing a given level of output or activity; expressed as energy per unit of output. This is the ...

Hallett, K. and (EERE), O. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
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Oil and Gas Basins in Alaska

Oil and gas basins in Alaska, available as GIS shape files. Digitized by Alaska Department of Natural Resources (ADNR), Information Resource Management Section. Digitized from DGGS publication, Special Report 32, Oil and Gas Basins Map of Alaska 1983, by Arlen Ehm. ### License ...

Hallett, K. and (AEDI), A. National Renewable Energy Laboratory

Dec 30, 1983
2 Resources
0 Stars
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Next Generation RivGen Power System: Feasibility Assessment of Hydroacoutics Data for Development of a Probability of Encounter Model of Salmon Smolts

This document contains a feasibility assessment for salmon smolt characterization and analysis based on existing hydroacoustics data and probability of encounter model.

Daroux, A. and Zydlewski, G. Igiugig Village Council

Oct 04, 2017
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Sustainable Federal Fleets

This data reveals trends in Federal agencies' alternative fuel vehicle acquisitions, petroleum-reduction efforts, and alternative fuel use. This data can help agencies analyze their fleets' performance in meeting Federal mandates.

Reichhardt, M. and (EERE), O. Office of Energy Efficiency & Renewable Energy

Nov 25, 2014
1 Resources
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Electric Power Monthly Monthly Data Tables

U.S. monthly electricity generation figures from 2008 to 2010 (and the fuel consumed to produce it) by state. Original source information from the [U.S. Energy Information Administration (EIA)](http://www.eia.doe.gov/cneaf/electricity/epa/epa_sprdshts_monthly.html).

Wood, J. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
0 Stars
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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...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
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Microwave Radiometer CU Radiometrics MWR, Condon Reviewed 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...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
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Microwave Radiometer ESRL Radiometrics MWR, Troutdale 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...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
1 Resources
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Microwave Radiometer ESRL Radiometrics MWR, Troutdale Reviewed 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...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
1 Resources
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Microwave Radiometer ESRL Radiometrics MWR, Wasco Airport 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...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
1 Resources
0 Stars
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Microwave Radiometer ESRL Radiometrics MWR, Wasco Airport Reviewed 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...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
1 Resources
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Microwave Radiometer UND Radiometrics MWR, Rufus 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...

Bianco, L. Wind Energy Technologies Office (WETO)

Nov 18, 2015
1 Resources
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Repetitive Regeneration of Media #1 in a Dynamic Column Extraction using Brine #1

This data is from a regeneration study from a dynamic column extraction experiment where we ran a solution of REE's through a column of media #1 then stripped the REE's off the media using 2M HNO3 solution. We then re-equilibrated the media and repeated the process of running a RE...

Garland, G. Tusaar Corp.

Oct 14, 2015
4 Resources
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North and South Dakota High Resolution 50m Wind Resource

Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.

Langle, N. and Lopez, A. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
Curated

United States Utility-Scale PV Supply Curves 2023

This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for utility-scale PV across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCO...

GDS, N. National Renewable Energy Laboratory

Jun 30, 2023
13 Resources
1 Stars
Curated

Garner Valley DAS Metadata

Metadata for the data collected at the NEES@UCSB Garner Valley Downhole Array field site on September 10-12, 2013 as part of the larger PoroTomo project.

Lancelle, C. University of Wisconsin

Sep 10, 2013
1 Resources
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Cranfield Thermosiphon Test DTS Data

Thermal profile data acquired using Silixa Ultima Distributed Temperature Sensor (DTS) at Cranfield, MS field test

Freifeld, B. Lawrence Berkeley National Laboratory

Jan 19, 2015
1 Resources
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Helium isotope study of Geothermal Features in Chile with Field and Laboratory Data

Helium isotope and stable isotope data from the El Tatio, Tinginguirica, Chillan, and Tolhuaca geothermal systems, Chile. Data from this submission are discussed in: Dobson, P.F., Kennedy, B.M., Reich, M., Sanchez, P., and Morata, D. (2013) Effects of volcanism, crustal thickness,...

Dobson, P. et al Lawrence Berkeley National Laboratory

Feb 11, 2013
2 Resources
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wfip2.model/retro.hrrr.01.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
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wfip2.model/retro.hrrr.01.fcst.02

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
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wfip2.model/retro.hrrr.02.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
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wfip2.model/retro.hrrr.02.fcst.02

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
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wfip2.model/retro.rap.01.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
0 Stars
Publicly accessible

wfip2.model/retro.rap.02.fcst.01

**Overview** The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...

Macduff, M. Wind Energy Technologies Office (WETO)

Feb 09, 2016
1 Resources
0 Stars
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