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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Archuleta County

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The i...

Hussein, K. Flint Geothermal, LLC

Feb 01, 2012
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Dolores County

Hussein, K. Flint Geothermal, LLC

Feb 01, 2012
1 Resources
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Deep Direct-Use Feasibility Study Development of 3-D Structural Surface Model for the Tuscarora Sandstone, Morgantown, WV

This dataset contains grid files for subsurface maps created in GES interpretation software and exported as Zmap formated grid files. Depth values in SSTVD (subsea true vertical depth). The methods used for analysis and a detailed discussion of the results are presented in a paper...

McCleery, R. et al West Virginia University

Dec 19, 2019
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Alamosa and Saguache Counties, Colorado

Hussein, K. Flint Geothermal, LLC

Feb 01, 2012
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Fremont County, Colorado

Hussein, K. Flint Geothermal, LLC

Feb 01, 2012
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Routt County, Colorado

Hussein, K. Flint Geothermal, LLC

Feb 01, 2012
1 Resources
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Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, San Miguel County, Colorado

Hussein, K. Flint Geothermal, LLC

Feb 01, 2012
1 Resources
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BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset

The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...

Tripp, C. et al National Renewable Energy Laboratory

Dec 30, 2022
9 Resources
1 Stars
Curated

Long-term Average Surface Temperatures in England (1772 2009)

This dataset, made available by the UK Department of Energy and Climate Change (DECC), shows the difference between the yearly central England temperature for years 1772 through 2009 and the 1961 1990 baseline (1961 1990 Central England average after smoothing). It also shows the ...

Hallett, K. and (DECC), U. National Renewable Energy Laboratory

Mar 11, 2010
2 Resources
0 Stars
In curation

Surface Meteorological Station ESRL Short Tower, Bonneville Raw Data

**Overview** A diversity of instruments are used to measure various quantities related to meteorology and precipitation near the Earth’s surface. Typically, a standard suite of instruments is deployed to monitor meteorological state variables. **Data Quality** An additional c...

Wilczak, J. Wind Energy Technologies Office (WETO)

Dec 06, 2015
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Surface Meteorological Station ESRL Short Tower, Bonneville Reviewed Data

Wilczak, J. Wind Energy Technologies Office (WETO)

Dec 07, 2015
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Membrane Specifications for Multi-Configuration Membrane Distillation Model

The data includes the membrane properties and specifications used for multi-configuration membrane distillation desalination. In this study, membranes from CLARCOR, 3M, and Aquastill are tested in counter-current, co-current and air-gap configurations at Colorado School of Mines (...

Villa, D. et al National Renewable Energy Laboratory

Mar 01, 2018
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POROTOMO Subtask 6.2 Deploy and Operate DAS DTS

Metadata for the surface Distributed Acoustic (DAS) array deployed the the POROTOMO's Natural Laboratory in Brady Hot Spring, Nevada during the March 2016 testing.

Fratta, D. National Renewable Energy Laboratory

Jun 30, 2016
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In curation

Sodar Vaisala Triton Wind Profiler, AON1 Raw Data

**Overview** This dataset contains measurements from eight different Vaisala Triton Wind Profiler instruments. The Triton Wind Profiler is a sodar wind profiler that measures wind speed, direction, and turbulence intensity at heights from 30 m to 200 m above ground every 10 minut...