AndreaBozzo/ceres-open-data-index huggingface dataset:
Office of Nuclear Energy website

The Office of Nuclear Energy's (NE) primary mission is to advance nuclear power as a resource capable of making major contributions in meeting our Nation’s energy supply, environmental, and energy security needs. We seek to resolve technical, cost, safety, security and regulatory issues through research, development and demonstration. By focusing on the development of advanced nuclear technologies, NE supports the Administration’s goals of providing domestic sources of secure energy, reducing greenhouse gases, and enhancing national security.

NE’s program is guided by the four research objectives detailed in its Nuclear Energy Research and Development Roadmap:

Develop technologies and other solutions that can improve the reliability, sustain the safety, and extend the life of current reactors. 
Develop improvements in the affordability of new reactors to enable nuclear energy to help meet the Administration’s energy security and climate change goals. 
Develop sustainable fuel cycles. 
Understand and minimize the risks of nuclear proliferation and terrorism. 
NE serves present and future U.S. energy needs by developing critical technologies for the future and helping to train tomorrow’s workforce. The benefits of nuclear power as a safe, carbon-free, reliable and secure source of energy make it an essential element in our Nation’s energy and environmental future.

Tags: advanced-modeling-and-simulation, fuel-cycle-technologies, international-nuclear-energy-policy-and-cooperation, nuclear-energy-advisory-committee, nuclear-energy-enabling-technologies, nuclear-energy-technologies, nuclear-energy-university-program, nuclear-facility-operations
Organization: Department of Energy
Physical Solar Model version 3 Global Horizontal Irradiance Multi-year Monthly Average

This data provides monthly average daily total solar resource averaged over surface cells of 0.038 degrees in both latitude and longitude, or nominally 4 km in size. The solar radiation values represent the resource available to solar energy systems. The data was created using cloud properties which are generated using the AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) algorithms. Fast all-sky radiation model for solar applications (FARMS) in conjunction with the cloud properties, and aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary source are used to estimate direct normal irradiance (DNI) and global horizontal irradiance (GHI). The DNI and GHI are computed for clear skies using the REST2 model. For cloud scenes identified by the cloud mask, the FARMS is used to compute the GHI. The DNI for cloud scenes is then computed using the DISC model. The data are averaged from hourly model output over 19 years (1998-2016). The PATMOS-X model uses half-hourly radiance images in visible and infrared channels from the GOES series of geostationary weather satellites, daily snow cover data from the NSIDC and mixing ratio, temperature and pressure profiles from the Modern Era-Retrospective Analysis (MERRA-2) dataset. The REST2 model uses hourly aerosol optical depth from MERRA-2 to calculate GHI and DNI; water vapor and other inputs for REST 2 are obtained from the MERRA-2.

This dataset was derived from the NSRDB and may be used with the following citation:

Sengupta, M., Xie, Y., Lopez, A., Habte, A., Maclaurin, G., & Shelby, J. (2018). The national solar radiation data base (NSRDB). Renewable and Sustainable Energy Reviews, 89, 51-60.

Tags: ghi, global-horizontal-irradiance, monthly-average, nrel, nsrdb, solar-energy
Organization: Department of Energy
Physical Solar Model version 3 Global Horizontal Irradiance Multi-year Annual Average

This data provides annual average daily total solar resource averaged over surface cells of 0.038 degrees in both latitude and longitude, or nominally 4 km in size. The solar radiation values represent the resource available to solar energy systems. The data was created using cloud properties which are generated using the AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) algorithms. Fast all-sky radiation model for solar applications (FARMS) in conjunction with the cloud properties, and aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary source are used to estimate direct normal irradiance (DNI) and global horizontal irradiance (GHI). The DNI and GHI are computed for clear skies using the REST2 model. For cloud scenes identified by the cloud mask, the FARMS is used to compute the GHI. The DNI for cloud scenes is then computed using the DISC model. The data are averaged from hourly model output over 19 years (1998-2016). The PATMOS-X model uses half-hourly radiance images in visible and infrared channels from the GOES series of geostationary weather satellites, daily snow cover data from the NSIDC and mixing ratio, temperature and pressure profiles from the Modern Era-Retrospective Analysis (MERRA-2) dataset. The REST2 model uses hourly aerosol optical depth from MERRA-2 to calculate GHI and DNI; water vapor and other inputs for REST 2 are obtained from the MERRA-2.

This dataset was derived from the NSRDB and may be used with the following citation:

Sengupta, M., Xie, Y., Lopez, A., Habte, A., Maclaurin, G., & Shelby, J. (2018). The national solar radiation data base (NSRDB). Renewable and Sustainable Energy Reviews, 89, 51-60.

Tags: annual-average, ghi, global-horizontal-irradiance, nrel, nsrdb, solar-energy
Organization: Department of Energy
Physical Solar Model version 3 Direct Normal Irradiance Multi-year Monthly Average

This data provides monthly average daily total solar resource averaged over surface cells of 0.038 degrees in both latitude and longitude, or nominally 4 km in size. The solar radiation values represent the resource available to solar energy systems. The data was created using cloud properties which are generated using the AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) algorithms. Fast all-sky radiation model for solar applications (FARMS) in conjunction with the cloud properties, and aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary source are used to estimate direct normal irradiance (DNI) and global horizontal irradiance (GHI). The DNI and GHI are computed for clear skies using the REST2 model. For cloud scenes identified by the cloud mask, the FARMS is used to compute the GHI. The DNI for cloud scenes is then computed using the DISC model. The data are averaged from hourly model output over 19 years (1998-2016). The PATMOS-X model uses half-hourly radiance images in visible and infrared channels from the GOES series of geostationary weather satellites, daily snow cover data from the NSIDC and mixing ratio, temperature and pressure profiles from the Modern Era-Retrospective Analysis (MERRA-2) dataset. The REST2 model uses hourly aerosol optical depth from MERRA-2 to calculate GHI and DNI; water vapor and other inputs for REST 2 are obtained from the MERRA-2.

This dataset was derived from the NSRDB and may be used with the following citation:

Sengupta, M., Xie, Y., Lopez, A., Habte, A., Maclaurin, G., & Shelby, J. (2018). The national solar radiation data base (NSRDB). Renewable and Sustainable Energy Reviews, 89, 51-60.

Tags: direct-normal-irradiance, dni, monthly-average, nrel, nsdrb, solar-energy
Organization: Department of Energy
National Solar Radiation Database (NSRDB)

The NSRDB is a serially complete collection of hourly and half-hourly values of the three most common measurements of solar radiation—global horizontal, direct normal, and diffuse horizontal irradiance—and meteorological data. The current NSRDB is modeled using multi-channel measurements from geostationary satellites. The older versions of the NSRDB were modeled using cloud and weather information primarily collected at airports. A sufficient number of locations and temporal and spatial scales were used to represent regional solar radiation climates accurately.

Tags: nrel, nsrdb, solar-energy
Organization: Department of Energy
Physical Solar Model version 3 Direct Normal Irradiance Multi-year Monthly Average

This data provides monthly average daily total solar resource averaged over surface cells of 0.038 degrees in both latitude and longitude, or nominally 4 km in size. The solar radiation values represent the resource available to solar energy systems. The data was created using cloud properties which are generated using the AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) algorithms. Fast all-sky radiation model for solar applications (FARMS) in conjunction with the cloud properties, and aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary source are used to estimate direct normal irradiance (DNI) and global horizontal irradiance (GHI). The DNI and GHI are computed for clear skies using the REST2 model. For cloud scenes identified by the cloud mask, the FARMS is used to compute the DNI. The DNI for cloud scenes is then computed using the DISC model. The data are averaged from hourly model output over 19 years (1998-2016). The PATMOS-X model uses half-hourly radiance images in visible and infrared channels from the GOES series of geostationary weather satellites, daily snow cover data from the NSIDC and mixing ratio, temperature and pressure profiles from the Modern Era-Retrospective Analysis (MERRA-2) dataset. The REST2 model uses hourly aerosol optical depth from MERRA-2 to calculate GHI and DNI; water vapor and other inputs for REST 2 are obtained from the MERRA-2. 

This dataset was derived from the NSRDB and may be used with the following citation:

Sengupta, M., Xie, Y., Lopez, A., Habte, A., Maclaurin, G., & Shelby, J. (2018). The national solar radiation data base (NSRDB). Renewable and Sustainable Energy Reviews, 89, 51-60.

Tags: annual-average, direct-normal-irradiance, dni, nrel, nsrdb, solar-energy
Organization: Department of Energy
Wave Power Density

The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.

Tags: epri, nrel, u-s, wave-power-density
Organization: Department of Energy
Wave Hindcast

The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.

Tags: epri, nrel, u-s, wave-hindcast
Organization: Department of Energy
Wave Significant Height

The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.

Tags: epri, nrel, u-s, wave-hindcast
Organization: Department of Energy
Wave Energy Period

The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.

Tags: epri, nrel, u-s, wave-energy-period
Organization: Department of Energy
Operating Geothermal Plants

This dataset contains locations of operating geothermal power plants within the United States as of the publication date. Geothermal power plant data was aggregated from SNL Financial LC, the Geothermal Energy Association (GEA), press releases and operator websites. NREL performed independent research to validate locations of geothermal plants based on aerial satellite imagery as of July 2014.

Tags: geothermal, nrel, power-plants, u-s
Organization: Department of Energy
Wave Depth

The project estimated the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.

Tags: epri, nrel, u-s, wave-depth
Organization: Department of Energy
Hydrogen Potential from Renewable Energy Resources (2007)

This study was conducted in 2007 to estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar photovoltaic, and biomass) by county in the United States and to create maps that allow the reader to easily visualize the results. To accomplish this objective, the authors analyzed renewable resource data both statistically and graphically utilizing a state-of-the-art Geographic Information System (GIS), a computer-based information system used to create and visualize geographic information. Land-use and environmental exclusions were applied to represent the most viable resources across the country. While wind, solar, and biomass are considered major renewable resources, other renewable energy resources could also be used for hydrogen production, thus contributing to hydrogen development locally and regionally. These additional resources include offshore wind, concentrating solar power, geothermal, hydropower, photoelectrochemical, and photobiological resources. This study found that approximately 1 billion metric tons of hydrogen could be produced annually from wind, solar, and biomass resources in the United States. The greatest potential for producing hydrogen from these key renewable resources is in the Great Plains region. In addition, this research suggests that renewable hydrogen has the potential to displace gasoline consumption in most states if and when a number of technical and scientific barriers can be overcome.

Tags: hydrogen, nrel, renewable-energy, u-s
Organization: Department of Energy
10-Hour - Closed-Loop Pumped Storage Hydropower Data

The 10-hour, closed-loop PSH geospatial data include paired reservoir volume (gigaliter), capacity (megawatts), distance between reservoirs (kilometer), head height (meter), transmission spurline distance (kilometer), transmission spurline costs ($), and total cost ($/kilowatt).

Tags: closed-loop, nrel, pumped-storage-hydropower, u-s
Organization: Department of Energy
Developing Geothermal Plants

This dataset contains locations of geothermal power plants in development within the United States as of the publication date and includes attributes for planned capacity. Geothermal developing plant data was aggregated from SNL Financial LC, the Geothermal Energy Association (GEA), press releases, operator websites and geothermal lease data. NREL performed independent research to validate locations of geothermal projects under development as of July 2014.

Tags: geothermal, nrel, power-plants, u-s
Organization: Department of Energy
Wind Integration National Dataset (WIND) Toolkit - Multi-year Annual Average - United States

This data provides modeled annual average wind speed for the contiguous United States both onshore and offshore for the period 2007–2013.

This dataset was derived from the WIND Toolkit and may be used with the following citations:

Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit (Technical Report, NREL/TP-5000-61740). Golden, CO: National Renewable Energy Laboratory.

Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. "The Wind Integration National Dataset (WIND) Toolkit." Applied Energy 151: 355366.

Lieberman-Cribbin, W., C. Draxl, and A. Clifton. 2014. Guide to Using the WIND Toolkit Validation Code (Technical Report, NREL/TP-5000-62595). Golden, CO: National Renewable Energy Laboratory.

King, J., A. Clifton, and B.M. Hodge. 2014. Validation of Power Output for the WIND Toolkit (Technical Report, NREL/TP-5D00-61714). Golden, CO: National Renewable Energy Laboratory.

Tags: annual-average, conus, nrel, wind-speed
Organization: Department of Energy
Wind Integration National Dataset (WIND) Toolkit - Multi-year Annual Average - Mexico

This data provides modeled annual average wind speed for Mexico and surrounding areas both onshore and offshore for the period 2007–2013.

This dataset was derived from the WIND Toolkit and may be used with the following citations:

Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit (Technical Report, NREL/TP-5000-61740). Golden, CO: National Renewable Energy Laboratory.

Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. "The Wind Integration National Dataset (WIND) Toolkit." Applied Energy 151: 355366.

Lieberman-Cribbin, W., C. Draxl, and A. Clifton. 2014. Guide to Using the WIND Toolkit Validation Code (Technical Report, NREL/TP-5000-62595). Golden, CO: National Renewable Energy Laboratory.

King, J., A. Clifton, and B.M. Hodge. 2014. Validation of Power Output for the WIND Toolkit (Technical Report, NREL/TP-5D00-61714). Golden, CO: National Renewable Energy Laboratory.

Tags: annual-average, central-america, mexico, nrel, wind-speed
Organization: Department of Energy
Wind Integration National Dataset (WIND) Toolkit - Multi-year Annual Average - Canada

This data provides modeled annual average wind speed for Southern Canada both onshore and offshore for the period 2007–2013.

This dataset was derived from the WIND Toolkit and may be used with the following citations:

Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit (Technical Report, NREL/TP-5000-61740). Golden, CO: National Renewable Energy Laboratory.

Draxl, C., B.M. Hodge, A. Clifton, and J. McCaa. 2015. "The Wind Integration National Dataset (WIND) Toolkit." Applied Energy 151: 355366.

Lieberman-Cribbin, W., C. Draxl, and A. Clifton. 2014. Guide to Using the WIND Toolkit Validation Code (Technical Report, NREL/TP-5000-62595). Golden, CO: National Renewable Energy Laboratory.

King, J., A. Clifton, and B.M. Hodge. 2014. Validation of Power Output for the WIND Toolkit (Technical Report, NREL/TP-5D00-61714). Golden, CO: National Renewable Energy Laboratory.

Tags: annual-average, canada, nrel, wind-speed
Organization: Department of Energy
Wind Integration National Dataset (WIND) Toolkit V2

The Wind Integration National Dataset (WIND) Toolkit is an update and expansion of the Eastern and Western Wind Datasets, and is intended to support the next generation of integration studies. The WIND Toolkit includes meteorological conditions at multiple hub heights for more than 2,488,136 sites in the continental United States for the years 2007–2014. Collect and download, as CSV, a configurable set of data fields.

Tags: conus, nrel, wind-energy
Organization: Department of Energy
NETL's Carbon Capture and Storage Database

NETL's Carbon Capture and Storage Database includes active, proposed, canceled, and terminated CCS projects worldwide. Information in the database regarding technologies being developed for capture, evaluation of sites for carbon dioxide (CO2) storage, estimation of project costs, and anticipated dates of completion is sourced from publicly available information. The CCUS Database provides the public with information regarding efforts by various industries, public groups, and governments towards development and eventual deployment of CCUS technology. This is an active database that will be updated as information regarding these or new projects are released to the public.

Tags: carbon-capture, carbon-storage, carbon-utilization, ccus, google-earth, projects
Organization: Department of Energy
Legacy Management Remote Sites Telemetry Data

System Operation and Analysis at Remote Sites (SOARS) used by LM scientists, regulators and stakeholders; providing real-time data for evaluating progress of groundwater remediation at distant project sites.  Data collected from flow meters, water level meters, pressure sensors, unsaturated zone water-flux meters, moisture sensors, water quality instruments and meterological instruments.

Tags: groundwater-remediation, sensor-data, soars
Organization: Department of Energy
Legacy Management Public Website

To fulfill the Department's post-closure responsibilities and ensure the future protection of human health and the environment. Legacy Management has control and custody for legacy land, structures, and facilities and is responsible for maintaining them at levels consistent with Departmental long-term plans.

Tags: applied-studies-and-technology, calibration-facilities, considered-sites, ecosystem-management-team, environmental-justice, environmental-management-system, lm-sites, pending-transfer-sites, post-closure-benefits, programmatic-framework, property
Organization: Department of Energy
Technology Transitions

The Office of Technology Transitions (OTT) serves as the central hub for the technology transfer activities across the Department of Energy’s extensive R&D enterprise. At OTT, we work to ensure groundbreaking scientific discoveries achieve their maximum public return and impact, advancing the economic, energy, and national security interests of the United States. Getting that done means streamlining access to our user facilities at our 17 National Labs and sites, our world-class scientific researchers, and our sprawling portfolio of intellectual property – fostering strong internal and external partnerships that guide innovations from the lab toward the marketplace.

Technology transfer is a complex and dynamic process, and OTT is here to help you connect with DOE-powered innovation to advance discoveries and commercialize transformative, impactful technologies.

Tags: technology-transitions
Organization: Department of Energy