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NSW Australia Electricity Network Bus and Transmission Line Data: Snapshot from Mar 2011

[Moxy Knowledge Management](http://www.moxy.com.au/ "Moxy website") provides a general instance of the New South Wales (NSW), Australia, electricity network and an assessment of the robustness of the NSW electricity grid (e.g.,the results of several different outage scenarios). De...
Hallett, K. and Management, M. National Renewable Energy Laboratory
Dec 31, 2001
2 Resources
0 Stars
In curation

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
In curation

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
1 Resources
0 Stars
Publicly accessible

Brady Geothermal Field Well Lithologies

Well lithologies and corresponding descriptions exported from the 3D Leapfrog geologic model.
Lopeman, J. University of Wisconsin
Jul 22, 2015
2 Resources
0 Stars
Publicly accessible

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
0 Stars
In curation

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
In curation

Appendices for Geothermal Exploration Artificial Intelligence Report

The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...
Duzgun, H. et al Colorado School of Mines
Jan 08, 2021
12 Resources
0 Stars
Publicly accessible

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
1 Resources
0 Stars
Publicly accessible

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
1 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

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
Publicly accessible

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
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

Wister, CA Downhole and Seismic Data

This submission contains Downhole geophysical logs associated with Wister, CA Wells 12-27 and 85-20. The logs include Spontaneous Potential (SP), HILT Caliper (HCAL), Gamma Ray (GR), Array Induction (AIT), and Neutron Porosity (NPOR) data. Also included are a well log, Injection T...
Akerley, J. Ormat Nevada Inc
Dec 18, 2010
16 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

EGS Collab: Hydraulic Fracturing Test Measurements on the 4100L of SURF

This package includes data from two days of testing at the Sanford Underground Research Facility (SURF) on the 4100 level. The tests were performed in borehole TV4100 in the battery charging alcove south of the Yates shaft. TV4100 is a vertical borehole ~50 meters deep. A series o...
Ingraham, M. et al Sandia National Laboratories
Aug 15, 2019
3 Resources
0 Stars
Publicly accessible

PV Rooftop Database for Puerto Rico (PVRDB-PR)

The National Renewable Energy Laboratory's (NREL) PV Rooftop Database for Puerto Rico (PVRDB-PR) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for virtually all buildings in Puerto Rico. The dataset can be downloaded a...
Mooney, M. and Waechter, K. National Renewable Energy Laboratory (NREL)
Dec 16, 2020
5 Resources
0 Stars
Curated

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

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
0 Stars
Publicly accessible

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
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

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
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible
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