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Petroleum Systems of the San Joaquin Basin Province: Geochemical Characteristics of Oil Types

The Crude Oil Analysis (COA) database contains the digital data compilation of 9,076 crude oil analyses from samples collected from 1920 through 1983 from the United States and around the world. The data is described in Chapter 9 of the USGS paper, *Petroleum Systems of the San Jo...

Hallett, K. and USGS, . National Renewable Energy Laboratory

Dec 04, 2007
2 Resources
0 Stars
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2022 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies

These data provide the 2022 update of the Electricity Annual Technology Baseline (ATB). Starting in 2015 NREL has presented the ATB, consisting of detailed cost and performance data, both current and projected, for electricity generation and storage technologies. The ATB products ...

Vimmerstedt, L. et al National Renewable Energy Laboratory (NREL)

Jun 01, 2022
14 Resources
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Energy Technology Cost and Performance Data

This data indicates the range of recent cost estimates for renewable energy and other technologies. The estimates are shown in dollars per installed kilowatts of generating capacity. This data provides a compilation of available national-level cost data from a variety of so...

Ziebold, G. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
6 Resources
0 Stars
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Nevada High Resolution Wind Resource

Annual average wind resource potential for the state of Nevada, United States at a 50 meter height. The wind power resource estimates were produced by TrueWind Solutions using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This m...

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

Nov 25, 2014
3 Resources
0 Stars
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NREL GIS Data: Colorado Wind High Resolution

Abstract: Annual average wind resource potential for the state of Colorado, United States at a 50 meter height.

Purpose: Provide information on the wind resource potential for the state of Colorado.

Supplemental_Information: This data ...

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

Nov 25, 2014
2 Resources
0 Stars
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NREL Biomethane GIS Data

This dataset contains information about the biomass resources generated by county in the United States. It includes the following feedstock categories: crop residues, forest residues, primary mill residues, secondary mill residues, and urban wood waste. The estimates are based ...

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

Jan 16, 2015
2 Resources
0 Stars
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Recovery.org: State-by-State Recovery Act Awards and Jobs Created Feb 17, 2009-Mar 31, 2011

This dataset, updated quarterly by Recovery.org, contains a breakdown of state-by-state recovery act funds awarded and received, as well as the number of jobs created and saved. The shows two periods, February 17, 2009 to December 31, 2010, and January 1, 2011 to March 31, 2011. T...

Hill, G. and Recovery.org, . National Renewable Energy Laboratory

Jun 07, 2011
2 Resources
0 Stars
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University of Louisiana at Lafayette

A partnership with the University of Louisiana and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global, direct, and diffuse irradiance t...

Andreas and RitterNational Renewable Energy Laboratory

Feb 13, 2024
1 Resources
0 Stars
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University of Florida

A partnership with the University of Florida and U.S. Department of Energy's National Renewable Energy Laboratory (NREL) to collect solar data to support future solar power generation in the United States. The measurement station monitors global, direct, and diffuse irradiance to ...

Andreas and ScheffeNational Renewable Energy Laboratory

Feb 13, 2024
1 Resources
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WIND Toolkit Long-Term Ensemble Dataset

WIND Toolkit Long-term Ensemble Dataset (WTK-LED), an updated version of the meteorological WIND Toolkit, is a meteorological dataset providing high-resolution time series, including interannual variability and model uncertainty of wind speed at every modeling grid point to indica...

Wang, J. et al National Renewable Energy Laboratory (NREL)

Jan 24, 2024
7 Resources
1 Stars
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2020 Annual Technology Baseline (ATB) Cost and Performance Data for Transportation Technologies

The 2020 Transportation Annual Technology Baseline (ATB) provides detailed cost and performance data, estimates, and assumptions for vehicle and fuel technologies in the United States. The Transportation ATB includes current and projected estimates through 2050 for light-duty vehi...

Jadun. . et al National Renewable Energy Laboratory

Aug 22, 2020
5 Resources
0 Stars
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DOT rate and revenues summary to 1995

The data included in this submission is United States Department of Transportation (DOT) data on rates and revenue statistics up to 1995. The data includes state motor-fuel tax receipts, 1919-1995, state motor fuel taxes and related receipts, 1950-1995, and state and federal moto...

Hill, G. and (DOT), U. National Renewable Energy Laboratory

Jul 29, 2014
4 Resources
0 Stars
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Electrification Futures Study Demand-side Scenarios report figure data

The file includes the data for figures in the Electrification Futures Study demand-side scenarios report. Additional information on the data can be found in the report.

Mai. . et al National Renewable Energy Laboratory

Jun 26, 2018
1 Resources
0 Stars
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Next Generation RivGen Power System: Kvichak River, AK Overwinter Ice Study

The University of Alaska Fairbanks (UAF) Alaska Hydrokinetic Energy Research Center was tasked with developing a real-time data telemetry / remote power generation system to monitor frazil ice conditions in the Kvichak River in support of the U.S. Department of Energy funded "Next...

Kasper, J. et al Igiugig Village Council

Oct 04, 2017
5 Resources
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Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging Software and Data

Software and testing data from the OH Hinsdale Wave lab for DOE-funded project on Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging. This project will perform foundational research and testing to accelerate the sector-wide development a...

Hollinger, G. et al Oregon State University

Oct 26, 2022
11 Resources
0 Stars
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Subsurface Geological Information and Models in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy

This purpose of this set of entries is to group together the materials and analytical methods used in the assessment of the natural rock properties within and surrounding two potential reservoirs.

Jordan, T. et al Cornell University

Oct 27, 2019
27 Resources
0 Stars
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West Flank Coso, CA Magnetic and Gravity Data

Gravity and aeromagnetic data for West Flank FORGE site.

Katzenstein, A. et al Sandia National Laboratories

May 19, 2016
1 Resources
0 Stars
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2023 National Offshore Wind data set (NOW-23)

The 2023 National Offshore Wind data set (NOW-23) is the latest wind resource data set for offshore regions in the United States, which supersedes, for its offshore component, the Wind Integration National Dataset (WIND) Toolkit, which was published about a decade ago and is curre...

Bodini, N. et al National Renewable Energy Laboratory

Jan 01, 2020
22 Resources
1 Stars
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Basin and Range Investigation for Developing Geothermal Energy: Exploration Data

This data package includes exploration material from the Basin & Range Investigation for Developing Geothermal Energy [in Hidden Systems] project (BRIDGE), which is part of a broader initiative to advance the exploration of hidden geothermal resources in the Basin & Range Province...

Schwering, P. et al Sandia National Laboratories

Jan 03, 2022
16 Resources
0 Stars
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Analysis of Pre-Retrofit Building and Utility Data Southeast United States

TO4 9.1.2: Comm. Scale Military Housing Upgrades This project delves into the workflow and results of regression models on monthly and daily utility data (meter readings of electricity consumption), outlining a process for screening and gathering useful results from inverse model...

Beach, R. and Prahl, D. Ibacos Innovation

Apr 27, 2016
12 Resources
0 Stars
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Machine Learning to Identify Geologic Factors Associated with Production in Geothermal Fields: A Case-Study Using 3D Geologic Data from Brady Geothermal Field and NMFk

In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada that supports both electricity producti...

Siler, D. et al United States Geological Survey

Oct 01, 2021
6 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
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USDA Census of Irrigation

The 2018 Irrigation and Water Management Survey (formerly called the Farm and Ranch Irrigation Survey) is a follow-on to the 2017 Census of Agriculture by the U.S. Department of Agriculture (USDA). This survey provides the only comprehensive information on irrigation activities an...

Census of Irrigation, U. U.S. Department of Agriculture

Oct 19, 2020
5 Resources
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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
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Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption

The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse advanced metering infrastructure (AMI) devices and phasor measurement units (PMUs) ...

Ayyanar, R. et al Arizona State University

Feb 01, 2025
12 Resources
0 Stars
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