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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

EGS Collab Experiment 1: 3D Seismic Velocity Model and Updated Microseismic Catalog Using Transfer-Learning Aided Double-Difference Tomography

This package contains a 3D Seismic velocity model and an updated microseismic catalog associated with a proceedings paper (Chai et al., 2020) published in the 45th Workshop on Geothermal Reservoir Engineering. The 3D_seismic_velocity_model text file contains x (m), y(m), z(m), P-w...

Chai, C. et al Oak Ridge National Laboratory

Apr 20, 2020
7 Resources
0 Stars
Publicly accessible

DEEPEN 3D PFA Index Models for Exploration Datasets at Newberry Volcano

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments. As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), index models needed to be de...

Taverna, N. et al National Renewable Energy Laboratory

Jun 30, 2023
6 Resources
0 Stars
Publicly accessible

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
3 Resources
0 Stars
Publicly accessible

LCOE and Baseline Data for ORPC's RivGen 1.F River Power System

Base data and documentation of LCOE calculations for ORPC's RivGen 1.F Power System, demonstrated in the Kvichak River at Igiugig, Alaska in 2015.

Salmon, A. Igiugig Village Council

Oct 31, 2016
4 Resources
0 Stars
Publicly accessible

Drill Core Major, Trace and Rare Earth Element Analyses from Wells RN-17B and RN-30, Reykjanes, Iceland

Analytical results for X-ray fluorescence (XRF) and inductively coupled plasma mass spectrometry (ICP-MS) measurement of major, trace and rare earth elements in drill core from geothermal wells in Reykjanes, Iceland. Total Fe was analyzed as FeO, therefore is not included under t...

Fowler, A. University of California

Apr 01, 2015
1 Resources
0 Stars
Publicly accessible

Rare Earth Element Geochemistry for Produced Waters, WY

These data represent major, minor, trace, isotopes, and rare earth element concentrations in geologic formations and water associated with oil and gas production. *Note Link below contains updated version of spreadsheet (6/14/2017)

Quillinan, S. et al University of Wyoming

Jun 30, 2016
2 Resources
0 Stars
Publicly accessible

Rare Earth Element Concentration of Wyoming Thermal Waters Update

Updated version of data generated from rare earth element investigation of produced waters. These data represent major, minor, trace, isotopes, and rare earth element concentrations in geologic formations and water associated with oil and gas production.

Quillinan, S. et al University of Wyoming

Jun 01, 2017
2 Resources
0 Stars
Publicly accessible

Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)

This data set contains the full-resolution and state-level data described in the linked technical report (https://www.nrel.gov/docs/fy18osti/71492.pdf). It can be accessed with the NREL-dsgrid-legacy-efs-api, available on GitHub at https://github.com/dsgrid/dsgrid-legacy-efs-api a...

Hale, E. et al National Renewable Energy Laboratory

Jul 08, 2018
6 Resources
0 Stars
Publicly accessible

wfip2.model/realtime.hrrr_esrl.graphics.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...