National Library of Energy BETA

Sample records for unknown keywords dataset

  1. Rapid automatic keyword extraction for information retrieval and analysis

    DOE Patents [OSTI]

    Rose, Stuart J; Cowley,; Wendy E; Crow, Vernon L; Cramer, Nicholas O

    2012-03-06

    Methods and systems for rapid automatic keyword extraction for information retrieval and analysis. Embodiments can include parsing words in an individual document by delimiters, stop words, or both in order to identify candidate keywords. Word scores for each word within the candidate keywords are then calculated based on a function of co-occurrence degree, co-occurrence frequency, or both. Based on a function of the word scores for words within the candidate keyword, a keyword score is calculated for each of the candidate keywords. A portion of the candidate keywords are then extracted as keywords based, at least in part, on the candidate keywords having the highest keyword scores.

  2. National Library of Energy : Main View : Search Results for Keyword...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Search: Keyword: microelectromechanical OR mems OR mem Did you mean ? Create new alert from this search New Search My Selections (0) Alerts Source Status Activity Indicator 0 top...

  3. Welcome - OpenEI Datasets

    Open Energy Info (EERE)

    for a topic or click on a statistic to dive into our datasets. This is a featured section Placeholder OpenEI Datasets statistics 1.1k datasets 2 organizations 0 related items...

  4. NREL: Transmission Grid Integration - Wind Integration Datasets

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Wind Integration Datasets The datasets below provide energy professionals with a consistent set of ... Eastern and Western Wind Datasets WIND Toolkit Solar Integration Datasets ...

  5. Unknown

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... 7 9 9 9 11 11 12 15 15 18 21 22 23 23 23 23 CONTENTS ... Comparing Costs of a Diesel System Comparative Costs of ... Power Nomograph 17 100 mWcm2 insolation with the ...

  6. Unknown

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    joints as shown in Figure 2, a schematic of the blade shape geometry. Because of the multi-sectioned, step- tapered characteristics of the Test Bed blades, the normally-used...

  7. Unknown

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Mechanical El Stanford University Stanford, CA 94305 K. Bergey University of Oklahoma Aero Engineering Department Norman, OK 73069 Ir. Jos Beurskens Programme Manager for...

  8. Unknown

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Distribution Category UC-1290 SAND87-3146 Unlimited Release Reprinted June 1997 The Interconnection Issues of Utility-lntertied Photovoltaic Systems John Stevens Photovoltaic Systems Research Division Sandia National Laboratories Albuquerque, NM 87185 Abstract For photovoltaics to realize its potential as a significant contributor to U.S. energy requirements, photovoltaic systems must be capable of benign interconnections with existing electric utility systems. Technical questions have to be

  9. Unknown

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    * Sandia National laboratories U.S. DE P.\k TMENT OF ENERGY COVER: Issued by Sandia National Laboratories, operated for the United States Department of Energy by Sandia Corporation. Please direct comments to Lisa Shepperd, Florida Solar Energy Center, 300 State Road 401, Cape Canaveral, FL 32920; or Elizabeth R]chards, Department 6218, Sandia National Laboratories, Albuquerque, NM 87185-5800. . * Notice: This report was prepared as an account of work sponsored by an agency of the United States

  10. Unknown

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    we study a D-spar composite structure, which is part of the airfoil shape. The basic dimension of the D-spar is 6' (long), 6" (wide) and 3" (height) as shown in Figure 2...

  11. UNKNOWN

    Office of Legacy Management (LM)

    ... Deep .Spa Research I1 49:6051-6067. Burger, J. 2002. Incorporating ecology and ecological risk into long-term stewardship o n contaminated lands. Remr- diation 13:107-119. Burger, ...

  12. Unknown

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Laboratories Albuquerque, NM 87185 ABSTRACT The LIFE2 computer code is a fatiguefracture analysis code that is specialized to the analysis of wind turbine components. The...

  13. Unknown

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MATERIAL* J. A. Van Den Avyle, Mechanical Metallurgy Division H. J. Sutherland, Wind Energy Research Division Sandia National Laboratories Albuquerque, New Mexico ABSTRACT The...

  14. UNKNOWN

    Office of Legacy Management (LM)

    ... pipe to the atmosphere (Douthett, 1972; Littlejohn, 1972; Miller, 1972; Smith, 1972). ... remain so for 100-200 years (Bryant, 1992; Nimz & Thompson. 1992; Smith & Bradley, 1995). ...

  15. UNKNOWN

    Office of Legacy Management (LM)

    ... other radionuclides reside outside the glass and are potentially mobile (Smith, 1995). ... Lett. 11 :295-298. Kersting, A. B., Efurd, D. W., Finnegan, D. L., Rokop, D. J., Smith, D. ...

  16. ISDAC Microphysics (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) ... Total cloud water; Indirect and Semi-Direct Aerosol Campaign (ISDAC) Dataset File ...

  17. Solar Integration National Dataset Toolkit | Grid Modernization...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Integration National Dataset Toolkit NREL is working on a Solar Integration National Dataset (SIND) Toolkit to enable researchers to perform U.S. regional solar generation ...

  18. Fluxnet Synthesis Dataset Collaboration Infrastructure

    SciTech Connect (OSTI)

    Agarwal, Deborah A.; Humphrey, Marty; van Ingen, Catharine; Beekwilder, Norm; Goode, Monte; Jackson, Keith; Rodriguez, Matt; Weber, Robin

    2008-02-06

    The Fluxnet synthesis dataset originally compiled for the La Thuile workshop contained approximately 600 site years. Since the workshop, several additional site years have been added and the dataset now contains over 920 site years from over 240 sites. A data refresh update is expected to increase those numbers in the next few months. The ancillary data describing the sites continues to evolve as well. There are on the order of 120 site contacts and 60proposals have been approved to use thedata. These proposals involve around 120 researchers. The size and complexity of the dataset and collaboration has led to a new approach to providing access to the data and collaboration support and the support team attended the workshop and worked closely with the attendees and the Fluxnet project office to define the requirements for the support infrastructure. As a result of this effort, a new website (http://www.fluxdata.org) has been created to provide access to the Fluxnet synthesis dataset. This new web site is based on a scientific data server which enables browsing of the data on-line, data download, and version tracking. We leverage database and data analysis tools such as OLAP data cubes and web reports to enable browser and Excel pivot table access to the data.

  19. Index of /datasets/files/39/pub

    Open Energy Info (EERE)

    a file-level view of datasets. Go back to Datasets Listing About us Disclaimers Energy blogs Linked Data Developer services OpenEI partners with a broad range of international...

  20. Soundings from SGP, June 2014 Sonde Comparison Study (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Subject: 54 Environmental Sciences Atmospheric water; Atmospheric temperature; Atmospheric pressure; Horizontal wind Dataset File size NAView Dataset View Dataset DOI: 10.5439...

  1. ARM: Auxiliary data for the Total Precipitation Sensor (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Availability: ORNL Language: English Subject: 54 Environmental Sciences Atmospheric temperature; Horizontal wind; Precipitation Dataset File size NAView Dataset View Dataset DOI: ...

  2. Dataset used to improve liquid water absorption models in the...

    Office of Scientific and Technical Information (OSTI)

    Dataset used to improve liquid water absorption models in the microwave Title: Dataset used to improve liquid water absorption models in the microwave Two datasets, one a ...

  3. STIL2 Swedish Office Buildings Survey - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License License Not Specified Author Swedish Energy Agency Contact OpenEI User...

  4. Oil merger trend: exploring the unknowns

    SciTech Connect (OSTI)

    Solomon, B.

    1984-03-26

    Experts disagree on the effect recent oil company mergers will have on exploration spending and US credit markets. Proclaiming the answers unknowable, some see the issue as surpassing antitrust concerns. It is generally agreed, however, that there will be less spending on exploration and production during the transition period of the merger. The effect on stocks is also unknown, but analysts suggest that shareholder's adjustments will have only a minimal effect on the credit market.

  5. ARM Airborne Continuous carbon dioxide measurements (Dataset...

    Office of Scientific and Technical Information (OSTI)

    3 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory ...

  6. ARM: Portable Radiation Package: Orientation Data (Dataset) ...

    Office of Scientific and Technical Information (OSTI)

    Authors: Annette Koontz ; R. Reynolds Publication Date: 2012-11-02 OSTI Identifier: 1150257 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data ...

  7. Vaisala CL51 ceilometer (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Authors: Ewan OConnor Publication Date: 2015-04-01 OSTI Identifier: 1177195 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research ...

  8. ARM Airborne Continuous carbon dioxide measurements (Dataset...

    Office of Scientific and Technical Information (OSTI)

    1 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory ...

  9. ARM: Portable Radiation Package: Broadband Radiometers (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Authors: Annette Koontz ; R. Reynolds Publication Date: 2012-11-02 OSTI Identifier: 1150256 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data ...

  10. aoscaps3w (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    OSTI Identifier: 1249183 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak ...

  11. ARM: Ship navigational location and attitude (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Surface condition Dataset File size NAView Dataset View ...

  12. ARM: RPH stabilized platform tilt (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Surface condition Dataset File size NAView Dataset View ...

  13. ARM KAZR-ARSCL Value Added Product (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences ARM, KAZR, ARSCL,KAZR-ARSCL Dataset File size NAView Dataset ...

  14. Development of a SPARK Training Dataset

    SciTech Connect (OSTI)

    Sayre, Amanda M.; Olson, Jarrod R.

    2015-03-01

    In its first five years, the National Nuclear Security Administration’s (NNSA) Next Generation Safeguards Initiative (NGSI) sponsored more than 400 undergraduate, graduate, and post-doctoral students in internships and research positions (Wyse 2012). In the past seven years, the NGSI program has, and continues to produce a large body of scientific, technical, and policy work in targeted core safeguards capabilities and human capital development activities. Not only does the NGSI program carry out activities across multiple disciplines, but also across all U.S. Department of Energy (DOE)/NNSA locations in the United States. However, products are not readily shared among disciplines and across locations, nor are they archived in a comprehensive library. Rather, knowledge of NGSI-produced literature is localized to the researchers, clients, and internal laboratory/facility publication systems such as the Electronic Records and Information Capture Architecture (ERICA) at the Pacific Northwest National Laboratory (PNNL). There is also no incorporated way of analyzing existing NGSI literature to determine whether the larger NGSI program is achieving its core safeguards capabilities and activities. A complete library of NGSI literature could prove beneficial to a cohesive, sustainable, and more economical NGSI program. The Safeguards Platform for Automated Retrieval of Knowledge (SPARK) has been developed to be a knowledge storage, retrieval, and analysis capability to capture safeguards knowledge to exist beyond the lifespan of NGSI. During the development process, it was necessary to build a SPARK training dataset (a corpus of documents) for initial entry into the system and for demonstration purposes. We manipulated these data to gain new information about the breadth of NGSI publications, and they evaluated the science-policy interface at PNNL as a practical demonstration of SPARK’s intended analysis capability. The analysis demonstration sought to answer the

  15. Discovering a previously unknown mechanism that halts solar eruptions...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    a previously unknown mechanism that halts solar eruptions before they blast into space By John Greenwald December 23, 2015 Tweet Widget Google Plus One Share on Facebook...

  16. OpenEI:Projects/Datasets Patterns | Open Energy Information

    Open Energy Info (EERE)

    reports that were originally put in as individual dataset entries 1. Reports of this nature should be turned into one original dataset, and the new weekly reports should be added...

  17. Fact #888: August 31, 2015 Historical Gas Prices - Dataset |...

    Office of Environmental Management (EM)

    Fact 888: August 31, 2015 Historical Gas Prices - Dataset Excel file and dataset for Historical Gas Prices fotw888web.xlsx (23.12 KB) More Documents & Publications Fact 915: ...

  18. ARM: AOS: 3 wavelength Photoacoustic Soot Spectrometer (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Hygroscopic growth; Inorganic chemical composition; Methane concentration; Ozone; Ozone Concentration; Particle number concentration; Particle size distribution Dataset File ...

  19. Bayesian methods for characterizing unknown parameters of material models

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Emery, J. M.; Grigoriu, M. D.; Field Jr., R. V.

    2016-02-04

    A Bayesian framework is developed for characterizing the unknown parameters of probabilistic models for material properties. In this framework, the unknown parameters are viewed as random and described by their posterior distributions obtained from prior information and measurements of quantities of interest that are observable and depend on the unknown parameters. The proposed Bayesian method is applied to characterize an unknown spatial correlation of the conductivity field in the definition of a stochastic transport equation and to solve this equation by Monte Carlo simulation and stochastic reduced order models (SROMs). As a result, the Bayesian method is also employed tomore » characterize unknown parameters of material properties for laser welds from measurements of peak forces sustained by these welds.« less

  20. System for identifying known materials within a mixture of unknowns

    DOE Patents [OSTI]

    Wagner, John S.

    1999-01-01

    One or both of two methods and systems are used to determine concentration of a known material in an unknown mixture on the basis of the measured interaction of electromagnetic waves upon the mixture. One technique is to utilize a multivariate analysis patch technique to develop a library of optimized patches of spectral signatures of known materials containing only those pixels most descriptive of the known materials by an evolutionary algorithm. Identity and concentration of the known materials within the unknown mixture is then determined by minimizing the residuals between the measurements from the library of optimized patches and the measurements from the same pixels from the unknown mixture. Another technique is to train a neural network by the genetic algorithm to determine the identity and concentration of known materials in the unknown mixture. The two techniques may be combined into an expert system providing cross checks for accuracy.

  1. Method for identifying known materials within a mixture of unknowns

    DOE Patents [OSTI]

    Wagner, John S.

    2000-01-01

    One or both of two methods and systems are used to determine concentration of a known material in an unknown mixture on the basis of the measured interaction of electromagnetic waves upon the mixture. One technique is to utilize a multivariate analysis patch technique to develop a library of optimized patches of spectral signatures of known materials containing only those pixels most descriptive of the known materials by an evolutionary algorithm. Identity and concentration of the known materials within the unknown mixture is then determined by minimizing the residuals between the measurements from the library of optimized patches and the measurements from the same pixels from the unknown mixture. Another technique is to train a neural network by the genetic algorithm to determine the identity and concentration of known materials in the unknown mixture. The two techniques may be combined into an expert system providing cross checks for accuracy.

  2. System for identifying known materials within a mixture of unknowns

    DOE Patents [OSTI]

    Wagner, J.S.

    1999-07-20

    One or both of two methods and systems are used to determine concentration of a known material in an unknown mixture on the basis of the measured interaction of electromagnetic waves upon the mixture. One technique is to utilize a multivariate analysis patch technique to develop a library of optimized patches of spectral signatures of known materials containing only those pixels most descriptive of the known materials by an evolutionary algorithm. Identity and concentration of the known materials within the unknown mixture is then determined by minimizing the residuals between the measurements from the library of optimized patches and the measurements from the same pixels from the unknown mixture. Another technique is to train a neural network by the genetic algorithm to determine the identity and concentration of known materials in the unknown mixture. The two techniques may be combined into an expert system providing cross checks for accuracy. 37 figs.

  3. AmeriFlux US-AR1 ARM USDA UNL OSU Woodward Switchgrass 1 (Dataset...

    Office of Scientific and Technical Information (OSTI)

    University of Nebraska Sponsoring Org: DOEARM Country of Publication: United States Language: English Dataset File size NAView Dataset View Dataset DOI: 10.17190AMF124613

  4. AmeriFlux US-AR2 ARM USDA UNL OSU Woodward Switchgrass 2 (Dataset...

    Office of Scientific and Technical Information (OSTI)

    University of Nebraska Sponsoring Org: DOEARM Country of Publication: United States Language: English Dataset File size NAView Dataset View Dataset DOI: 10.17190AMF1246138

  5. Rhode Island High Resolution Wind Resource - Datasets - OpenEI...

    Open Energy Info (EERE)

    Detailed license and usage information for this dataset Preview Download 50m GIS NREL Rhode Island energy high resoltuion renewable shapefile wind wind data wind...

  6. Discovering a previously unknown mechanism that halts solar eruptions

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    before they blast into space | Princeton Plasma Physics Lab Discovering a previously unknown mechanism that halts solar eruptions before they blast into space By John Greenwald December 23, 2015 Tweet Widget Google Plus One Share on Facebook This solar flare occurred at the peak of the solar cycle in October 2014 with no observed eruptions. PPPL researchers say this is a promising candidate for studying the effect of guide magnetic fields. (Photo by NASA) This solar flare occurred at the

  7. Discovering a previously unknown mechanism that halts solar eruptions

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    before they blast into space | Princeton Plasma Physics Lab Discovering a previously unknown mechanism that halts solar eruptions before they blast into space By John Greenwald December 23, 2015 Tweet Widget Google Plus One Share on Facebook This solar flare occurred at the peak of the solar cycle in October 2014 with no observed eruptions. PPPL researchers say this is a promising candidate for studying the effect of guide magnetic fields. (Photo by NASA) This solar flare occurred at the

  8. ARM: Infrared/visible sky imager (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Authors: Annette Koontz ; Victor Morris Publication Date: 2014-05-20 OSTI Identifier: 1181986 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data ...

  9. ARM: Soil Temperature and Moisture Profiles (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    Authors: Brian Ermold ; David Cook Publication Date: 2016-02-22 OSTI Identifier: 1256098 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data ...

  10. ARM: Vaisala Automatic Weather Station (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Authors: Donna Holdridge ; Cristina Marinovici ; Jenni Kyrouac Publication Date: 2014-09-08 OSTI Identifier: 1182027 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset ...

  11. Quality Controlled Radiosonde Profile from MC3E (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    Title: Quality Controlled Radiosonde Profile from MC3E The sonde-adjust VAP produces data ... DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data ...

  12. The Wind Integration National Dataset (WIND) Toolkit (Presentation...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Wind Integration National Dataset (WIND) Toolkit Webinar Caroline Draxl and Bri-Mathias Hodge July 14, 2015 NRELPR-5000-64691 2 Content * Motivation * Creation of the WIND Toolkit ...

  13. Activity Stream - STIL2 Swedish Office Buildings Survey - Datasets...

    Open Energy Info (EERE)

    over 1 year ago Jay Huggins created the dataset STIL2 Swedish Office Buildings Survey over 1 year ago License License Not Specified Author Swedish Energy Agency Contact OpenEI User...

  14. ARM: Ka ARM Zenith Radar (KAZR): cirrus mode (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    OSTI Identifier: 1025213 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak ...

  15. 3D Covalent Organic Framework Materials database (Dataset) |...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: 3D Covalent Organic Framework Materials ... DOE Contract Number: AC02-05CH11231 Resource Type: Dataset Data Type: Numeric Data ...

  16. AmeriFlux US-ARM ARM Southern Great Plains site- Lamont (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Laboratory Sponsoring Org: DOE-ARM & DOE-ASR Country of Publication: United States Language: English Dataset File size NAView Dataset View Dataset DOI: 10.17190AMF124602

  17. The Wind Integration National Dataset (WIND) toolkit (Presentation)

    SciTech Connect (OSTI)

    Caroline Draxl: NREL

    2014-01-01

    Regional wind integration studies require detailed wind power output data at many locations to perform simulations of how the power system will operate under high penetration scenarios. The wind datasets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as being time synchronized with available load profiles.As described in this presentation, the WIND Toolkit fulfills these requirements by providing a state-of-the-art national (US) wind resource, power production and forecast dataset.

  18. Climate Model Datasets on Earth System Grid II (ESG II)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Earth System Grid (ESG) is a project that combines the power and capacity of supercomputers, sophisticated analysis servers, and datasets on the scale of petabytes. The goal is to provide a seamless distributed environment that allows scientists in many locations to work with large-scale data, perform climate change modeling and simulation,and share results in innovative ways. Though ESG is more about the computing environment than the data, still there are several catalogs of data available at the web site that can be browsed or search. Most of the datasets are restricted to registered users, but several are open to any access.

  19. Simulated NMIS Imaging Data for an Unknown Object

    SciTech Connect (OSTI)

    Walker, Mark E; Mihalczo, John T

    2012-04-01

    This report presents simulated Nuclear Materials Identification System (NMIS) imaging data for an unclassified object, whose characteristics are initially unknown to the reader. This data will be used to test various analysis capabilities and was created with a simple deterministic ray-tracing algorithm. NMIS is a time-dependent coincidence counting system that is used to characterize both fissile and non-fissile materials undergoing nondestructive assay. NMIS characterizes materials by interrogating them with neutrons, either from an associated-particle deuterium-tritium (DT) neutron generator, which produces a time and directionally tagged monoenergetic beam of 14.1 MeV neutrons, or a time-tagged spontaneous fission source in an ionization chamber.

  20. A polymer dataset for accelerated property prediction and design

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Huan, Tran Doan; Mannodi-Kanakkithodi, Arun; Kim, Chiho; Sharma, Vinit; Pilania, Ghanshyam; Ramprasad, Rampi

    2016-03-01

    Emerging computation- and data-driven approaches are particularly useful for rationally designing materials with targeted properties. Generally, these approaches rely on identifying structure-property relationships by learning from a dataset of sufficiently large number of relevant materials. The learned information can then be used to predict the properties of materials not already in the dataset, thus accelerating the materials design. Herein, we develop a dataset of 1,073 polymers and related materials and make it available at http://khazana.uconn.edu/. This dataset is uniformly prepared using first-principles calculations with structures obtained either from other sources or by using structure search methods. Because the immediate targetmore » of this work is to assist the design of high dielectric constant polymers, it is initially designed to include the optimized structures, atomization energies, band gaps, and dielectric constants. As a result, it will be progressively expanded by accumulating new materials and including additional properties calculated for the optimized structures provided.« less

  1. Oregon Cascades Play Fairway Analysis: Raster Datasets and Models

    SciTech Connect (OSTI)

    Adam Brandt

    2015-11-15

    This submission includes maps of the spatial distribution of basaltic, and felsic rocks in the Oregon Cascades. It also includes a final Play Fairway Analysis (PFA) model, with the heat and permeability composite risk segments (CRS) supplied separately. Metadata for each raster dataset can be found within the zip files, in the TIF images

  2. Eastern Renewable Generation Integration Study Solar Dataset (Presentation)

    SciTech Connect (OSTI)

    Hummon, M.

    2014-04-01

    The National Renewable Energy Laboratory produced solar power production data for the Eastern Renewable Generation Integration Study (ERGIS) including "real time" 5-minute interval data, "four hour ahead forecast" 60-minute interval data, and "day-ahead forecast" 60-minute interval data for the year 2006. This presentation provides a brief overview of the three solar power datasets.

  3. Wind Integration Datasets from the National Renewable Energy Laboratory (NREL)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Wind Integration Datasets provide time-series wind data for 2004, 2005, and 2006. They are intended to be used by energy professionals such as transmission planners, utility planners, project developers, and university researchers, helping them to perform comparisons of sites and estimate power production from hypothetical wind plants. NREL cautions that the information from modeled data may not match wind resource information shown on NREL;s state wind maps as they were created for different purposes and using different methodologies.

  4. Biofuel Enduse Datasets from the Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individuals data uploads. Currently the Biofuel Enduse collection includes 133 items. Most of these are categorized as literature, but 36 are listed as datasets and ten as models.

  5. Biofuel Enduse Datasets from the Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individualsÆ data uploads. Currently the Biofuel Enduse collection includes 133 items. Most of these are categorized as literature, but 36 are listed as datasets and ten as models.

  6. Production of BaBar Skimmed Analysis Datasets Using the Grid...

    Office of Scientific and Technical Information (OSTI)

    Production of BaBar Skimmed Analysis Datasets Using the Grid Citation Details In-Document Search Title: Production of BaBar Skimmed Analysis Datasets Using the Grid You are ...

  7. Index of /datasets/files/41/pub/PUBID8_0730

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 208445...

  8. Index of /datasets/files/41/pub/PUBID8_4282

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 21422...

  9. Index of /datasets/files/41/pub/PUBID8_4070

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 97985954...

  10. Index of /datasets/files/41/pub/PUBID8_3090

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 214...

  11. Index of /datasets/files/41/pub/PUBID8_1095

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 9674483...

  12. Index of /datasets/files/41/pub/PUBID8_3857

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 96744...

  13. Index of /datasets/files/41/pub/PUBID8_0536

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 9...

  14. Index of /datasets/files/41/pub/PUBID8_0245

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 96744836...

  15. Index of /datasets/files/41/pub/PUBID8_1803

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142255...

  16. Index of /datasets/files/41/pub/PUBID8_5373

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 96744859...

  17. Index of /datasets/files/41/pub/PUBID8_0697

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 11352643...

  18. Index of /datasets/files/41/pub/PUBID8_3365

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 96744849...

  19. Index of /datasets/files/41/pub/PUBID8_0074

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 979859...

  20. Index of /datasets/files/41/pub/PUBID8_1997

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 967448...

  1. Index of /datasets/files/41/pub/PUBID8_2278

    Open Energy Info (EERE)

    Listing This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 99456...

  2. Index of /datasets/files/41/pub/PUBID8_4510

    Open Energy Info (EERE)

    This is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 96744855...

  3. Index of /datasets/files/41/pub/PUBID8_5935

    Open Energy Info (EERE)

    is a file-level view of datasets. Go back to Datasets Listing 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 1863489907 Varnish...

  4. File:Excel sheet Datasets Tools.pdf | Open Energy Information

    Open Energy Info (EERE)

    Excel sheet Datasets Tools.pdf Jump to: navigation, search File File history File usage File:Excel sheet Datasets Tools.pdf Size of this preview: 776 600 pixels. Go to page 1 2...

  5. Index of /datasets/files/41/pub/PUBID8_3482

    Open Energy Info (EERE)

    Directory Base Exist MaxTech Wiki Apps Datasets Community Login | Sign Up Search Facebook icon Twitter icon Directory Listing This is a file-level view of datasets. Go...

  6. Do you have Power Battery data-set? | OpenEI Community

    Open Energy Info (EERE)

    Do you have Power Battery data-set? Home I am looking for large datasets of power batteries, but I can't find, I would appreciate if you could share. Thanks. Submitted by...

  7. Large-Scale Deep Learning on the YFCC100M Dataset (Conference...

    Office of Scientific and Technical Information (OSTI)

    Conference: Large-Scale Deep Learning on the YFCC100M Dataset Citation Details In-Document Search Title: Large-Scale Deep Learning on the YFCC100M Dataset Authors: Ni, K ; Boakye, ...

  8. Fact #847: November 17, 2014 Cars were Over 50% of Light Vehicle Production in 2014- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #847: November 17, 2014 Cars were Over 50% of Light Vehicle Production in 2014

  9. Dataset used to improve liquid water absorption models in the microwave

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Turner, David

    2015-12-14

    Two datasets, one a compilation of laboratory data and one a compilation from three field sites, are provided here. These datasets provide measurements of the real and imaginary refractive indices and absorption as a function of cloud temperature. These datasets were used in the development of the new liquid water absorption model that was published in Turner et al. 2015.

  10. Recovering complete and draft population genomes from metagenome datasets

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Sangwan, Naseer; Xia, Fangfang; Gilbert, Jack A.

    2016-03-08

    Assembly of metagenomic sequence data into microbial genomes is of fundamental value to improving our understanding of microbial ecology and metabolism by elucidating the functional potential of hard-to-culture microorganisms. Here, we provide a synthesis of available methods to bin metagenomic contigs into species-level groups and highlight how genetic diversity, sequencing depth, and coverage influence binning success. Despite the computational cost on application to deeply sequenced complex metagenomes (e.g., soil), covarying patterns of contig coverage across multiple datasets significantly improves the binning process. We also discuss and compare current genome validation methods and reveal how these methods tackle the problem ofmore » chimeric genome bins i.e., sequences from multiple species. Finally, we explore how population genome assembly can be used to uncover biogeographic trends and to characterize the effect of in situ functional constraints on the genome-wide evolution.« less

  11. MATCH: Metadata Access Tool for Climate and Health Datasets

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    MATCH is a searchable clearinghouse of publicly available Federal metadata (i.e. data about data) and links to datasets. Most metadata on MATCH pertain to geospatial data sets ranging from local to global scales. The goals of MATCH are to: 1) Provide an easily accessible clearinghouse of relevant Federal metadata on climate and health that will increase efficiency in solving research problems; 2) Promote application of research and information to understand, mitigate, and adapt to the health effects of climate change; 3) Facilitate multidirectional communication among interested stakeholders to inform and shape Federal research directions; 4) Encourage collaboration among traditional and non-traditional partners in development of new initiatives to address emerging climate and health issues. [copied from http://match.globalchange.gov/geoportal/catalog/content/about.page

  12. Analysis Summary of an Assembled Western U.S. Dataset

    SciTech Connect (OSTI)

    Ryall, F

    2005-03-22

    The dataset for this report is described in Walter et al. (2004) and consists primarily of Nevada Test Site (NTS) explosions, hole collapse and earthquakes. In addition, there were several earthquakes in California and Utah; earthquakes recorded near Cataract Creek, Arizona; mine blasts at two areas in Arizona; and two mine collapses in Wyoming. In the vicinity of NTS there were mainshock/aftershock sequences at Little Skull Mt, Scotty's Junction and Hector ere mine. All the events were shallow and distances ranged from about 0.1 degree to regional distances. All of the data for these events were carefully reviewed and analyzed. In the following sections of the report, we describe analysis procedures, problems with the data and results of analysis.

  13. Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. Holdings include datasets, models, and maps. [from https://www.bioenergykdf.net/content/about

  14. Biofuel Production Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]

    Holdings include datasets, models, and maps and the collections arel growing due to both DOE contributions and data uploads from individuals.

  15. Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and individuals' data uploads.

  16. Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about] Holdings include datasets, models, and maps and the collections are growing due to both DOE contributions and data uploads from individuals.

  17. Fact #897: November 2, 2015 Fuel Wasted in Traffic Congestion - Dataset |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy 7: November 2, 2015 Fuel Wasted in Traffic Congestion - Dataset Fact #897: November 2, 2015 Fuel Wasted in Traffic Congestion - Dataset Excel file and dataset for Fuel Wasted in Traffic Congestion fotw#897_web.xlsx (14.14 KB) More Documents & Publications Fact #925: May 16, 2016 Improvements in Fuel Economy for Low-MPG Vehicles Yield the Greatest Savings - Dataset Fact #881: July 13, 2015 Powertrain Efficiency Improvements, 2005 to 2013 - Dataset Fact #883: July 27,

  18. Fact #900: November 23, 2015 States Tax Gasoline at Varying Rates - Dataset

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy 0: November 23, 2015 States Tax Gasoline at Varying Rates - Dataset Fact #900: November 23, 2015 States Tax Gasoline at Varying Rates - Dataset Excel file and dataset for States Tax Gasoline at Varying Rates fotw#900_web.xls (212 KB) More Documents & Publications Reactor Pressure Vessel Task of Light Water Reactor Sustainability Program: Milestone Report on Materials and Machining of Specimens for the ATR-2 Experiment Fact #870: April 27, 2015 Corporate Average

  19. Fact #830: July 21, 2014 Diesel Light Vehicle Offerings Expand - Dataset |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy 0: July 21, 2014 Diesel Light Vehicle Offerings Expand - Dataset Fact #830: July 21, 2014 Diesel Light Vehicle Offerings Expand - Dataset Excel file with dataset for Fact #830: Diesel Light Vehicle Offerings Expand fotw#830_web.xlsx (15.01 KB) More Documents & Publications Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014 - Dataset Fact #831: July 28, 2014 Top Ten States with Diesel Light Vehicles -

  20. Fact #899: November 16, 2015 World Production of Cars and Trucks - Dataset

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy 9: November 16, 2015 World Production of Cars and Trucks - Dataset Fact #899: November 16, 2015 World Production of Cars and Trucks - Dataset Excel file and dataset for World Production of Cars and Trucks fotw#899_web.xlsx (46.61 KB) More Documents & Publications Diesel Trucks - Then and Now Fact #848: November 24, 2014 Nearly Three-Fourths of New Cars have Fuel Economy above 25 Miles per Gallon - Dataset Fact #851: December 15, 2014 The Average Number of Gears

  1. Fact #917: March 21, 2016 Work Truck Daily Idle Time by Industry - Dataset

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy 7: March 21, 2016 Work Truck Daily Idle Time by Industry - Dataset Fact #917: March 21, 2016 Work Truck Daily Idle Time by Industry - Dataset Excel file and dataset for Work Truck Daily Idle Time by Industry fotw#917_web.xlsx (15.85 KB) More Documents & Publications Fact #916: March 14, 2016 Fuel Savings/Emissions Reduction was the Top Reason Cited by Truck Fleet Management for Adopting Idle Reduction Technologies - Dataset Fact #833: August 11, 2014 Fuel Economy

  2. 3D Model of the San Emidio Geothermal Area (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Country of Publication: United States Availability: GDRHelp@EE.Doe.Gov Language: English Subject: 15 Geothermal Energy geothermal; San Emidio Geothermal Area; 3D Model Dataset File ...

  3. AmeriFlux US-Lin Lindcove Orange Orchard (Dataset) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: California Air Resources Board and Citrus Research Board Country of Publication: United States Language: English Word Cloud More Like This Dataset File size NAView ...

  4. Quality Controlled Radiosonde Profile from MC3E (Dataset) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    humidity from integers - the resolution of the instrument - to fractions of a percent. ... Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation ...

  5. Wind Resources by Class and Country At 50m - Datasets - OpenEI...

    Open Energy Info (EERE)

    high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States)...

  6. Metal-Organic Frameworks Based on Previously Unknown Zr8/Hf Cubic...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Metal-Organic Frameworks Based on Previously Unknown Zr8Hf Cubic Clusters Previous Next List Dawei Feng, Hai-Long Jiang, Ying-Pin Chen, Zhi-Yuan Gu, Zhangwen Wei, and Hong-Cai...

  7. Discovery of a meta-stable Al-Sm phase with unknown stoichiometry...

    Office of Scientific and Technical Information (OSTI)

    Discovery of a meta-stable Al-Sm phase with unknown stoichiometry using a genetic algorithm Citation Details In-Document Search Title: Discovery of a meta-stable Al-Sm phase with...

  8. Fact #858 February 2, 2015 Retail Gasoline Prices in 2014 Experienced the Largest Decline since 2008 – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Retail Gasoline Prices in 2014 Experienced the Largest Decline since 2008

  9. Comparing GPU Implementations of Bilateral and Anisotropic Diffusion Filters for 3D Biomedical Datasets

    SciTech Connect (OSTI)

    Howison, Mark

    2010-05-06

    We compare the performance of hand-tuned CUDA implementations of bilateral and anisotropic diffusion filters for denoising 3D MRI datasets. Our tests sweep comparable parameters for the two filters and measure total runtime, memory bandwidth, computational throughput, and mean squared errors relative to a noiseless reference dataset.

  10. Equilibrium Response and Transient Dynamics Datasets from VEMAP: Vegetation/Ecosystem Modeling and Analysis Project

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Users of the VEMAP Portal can access input files of numerical data that include monthly and daily files of geographic data, soil and site files, scenario files, etc. Model results from Phase I, the Equilibrium Response datasets, are available through the NCAR anonymous FTP site at http://www.cgd.ucar.edu/vemap/vresults.html. Phase II, Transient Dynamics, include climate datasets, models results, and analysis tools. Many supplemental files are also available from the main data page at http://www.cgd.ucar.edu/vemap/datasets.html.

  11. Evaluation of linear interpolation method for missing value on solar radiation dataset in Perlis

    SciTech Connect (OSTI)

    Saaban, Azizan; Zainudin, Lutfi; Bakar, Mohd Nazari Abu

    2015-05-15

    This paper intends to reveal the ability of the linear interpolation method to predict missing values in solar radiation time series. Reliable dataset is equally tends to complete time series observed dataset. The absence or presence of radiation data alters long-term variation of solar radiation measurement values. Based on that change, the opportunities to provide bias output result for modelling and the validation process is higher. The completeness of the observed variable dataset has significantly important for data analysis. Occurrence the lack of continual and unreliable time series solar radiation data widely spread and become the main problematic issue. However, the limited number of research quantity that has carried out to emphasize and gives full attention to estimate missing values in the solar radiation dataset.

  12. A 20-Year Dataset of Downwelling Longwave Flux at the Arctic...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    when there is little or no solar radiation in the central Arctic basin, the surface energy budget is dominated by the ... surface- based, reanalysis, and satellite-retrieved datasets. ...

  13. ARM: X-SAPR Plan Position Indicator scan (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    OSTI Identifier: 1025327 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak ...

  14. ARM: X-SAPR Horizon-to-horizon Range-Height Indicator scan (Dataset...

    Office of Scientific and Technical Information (OSTI)

    OSTI Identifier: 1025326 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak ...

  15. EVALUATION OF LAND USE/LAND COVER DATASETS FOR URBAN WATERSHED MODELING

    SciTech Connect (OSTI)

    S.J. BURIAN; M.J. BROWN; T.N. MCPHERSON

    2001-08-01

    Land use/land cover (LULC) data are a vital component for nonpoint source pollution modeling. Most watershed hydrology and pollutant loading models use, in some capacity, LULC information to generate runoff and pollutant loading estimates. Simple equation methods predict runoff and pollutant loads using runoff coefficients or pollutant export coefficients that are often correlated to LULC type. Complex models use input variables and parameters to represent watershed characteristics and pollutant buildup and washoff rates as a function of LULC type. Whether using simple or complex models an accurate LULC dataset with an appropriate spatial resolution and level of detail is paramount for reliable predictions. The study presented in this paper compared and evaluated several LULC dataset sources for application in urban environmental modeling. The commonly used USGS LULC datasets have coarser spatial resolution and lower levels of classification than other LULC datasets. In addition, the USGS datasets do not accurately represent the land use in areas that have undergone significant land use change during the past two decades. We performed a watershed modeling analysis of three urban catchments in Los Angeles, California, USA to investigate the relative difference in average annual runoff volumes and total suspended solids (TSS) loads when using the USGS LULC dataset versus using a more detailed and current LULC dataset. When the two LULC datasets were aggregated to the same land use categories, the relative differences in predicted average annual runoff volumes and TSS loads from the three catchments were 8 to 14% and 13 to 40%, respectively. The relative differences did not have a predictable relationship with catchment size.

  16. Exudate-based diabetic macular edema detection in fundus images using publicly available datasets

    SciTech Connect (OSTI)

    Giancardo, Luca; Meriaudeau, Fabrice; Karnowski, Thomas Paul; Li, Yaquin; Garg, Seema; Tobin Jr, Kenneth William; Chaum, Edward

    2011-01-01

    Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME through the presence of exudation. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publicly available datasets are employed to evaluate our algorithm. We are able to achieve diagnosis performance comparable to retina experts on the MESSIDOR (an independently labelled dataset with 1200 images) with cross-dataset testing (e.g., the classifier was trained on an independent dataset and tested on MESSIDOR). Our algorithm obtained an AUC between 0.88 and 0.94 depending on the dataset/features used. Additionally, it does not need ground truth at lesion level to reject false positives and is computationally efficient, as it generates a diagnosis on an average of 4.4 s (9.3 s, considering the optic nerve localization) per image on an 2.6 GHz platform with an unoptimized Matlab implementation.

  17. Fact #920: April 11, 2016 Electric Charging Stations are the Fastest Growing Type of Alternative Fueling Station- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Electric Charging Stations are the Fastest Growing Type of Alternative Fueling Station

  18. Fact #834: August 18, 2014 About Two-Thirds of Transportation Energy Use is Gasoline for Light Vehicles – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #834: About Two-Thirds of Transportation Energy Use is Gasoline for Light Vehicles

  19. Fact #921: April 18, 2016 Japan Produced the Most Automotive Lithium-ion Batteries by Capacity in 2014- Dataset

    Office of Energy Efficiency and Renewable Energy (EERE)

    Excel file and dataset for Japan Produced the Most Automotive Lithium-ion Batteries by Capacity in 2014

  20. Fact #931 June 27, 2016 Plug-in Electric Vehicles Were Available in Nine Different Size Classes in 2015- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Plug-in Electric Vehicles Were Available in Nine Different Size Classes in 2015

  1. Fact #930: June 20, 2016 Subcompact Plug-in Vehicle Sales Reached 4% of Subcompact Sales in February 2015- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Subcompact Plug-in Vehicle Sales Reached 4% of Subcompact Sales in February 2015

  2. Fact #925: May 16, 2016 Improvements in Fuel Economy for Low-MPG Vehicles Yield the Greatest Savings- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Improvements in Fuel Economy for Low-MPG Vehicles Yield the Greatest Savings

  3. Fact #928: June 6, 2016 Price Difference between Regular and Premium Gasoline Has Grown Each Year Since 2011- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Price Difference between Regular and Premium Gasoline Has Grown Each Year Since 2011

  4. Fact #894: October 12, 2015 U.S. Petroleum Production and Consumption for All Sectors, 1973 through 2040- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for U.S. Petroleum Production and Consumption for All Sectors, 1973 through 2040

  5. Fact #857 January 26, 2015 Number of Partner Workplaces Offering Electric Vehicle Charging More Than Tripled Since 2011 – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Number of Partner Workplaces Offering Electric Vehicle Charging More Than Tripled Since 2011

  6. Fact #837: September 8, 2014 Gap between Net Imports and Total Imports of Petroleum is Widening – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #837: Gap between Net Imports and Total Imports of Petroleum is Widening

  7. Fact #868: April 13, 2015 Automotive Technology Has Improved Performance and Fuel Economy of New Light Vehicles – Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Automotive Technology Has Improved Performance and Fuel Economy of New Light Vehicles

  8. Fact #901: November 30, 2015 States Assessing Fees on Electric Vehicles to Make Up For Lost Fuel Tax Revenue- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for States Assessing Fees on Electric Vehicles to Make Up For Lost Fuel Tax Revenue

  9. Performance study of LMS based adaptive algorithms for unknown system identification

    SciTech Connect (OSTI)

    Javed, Shazia; Ahmad, Noor Atinah

    2014-07-10

    Adaptive filtering techniques have gained much popularity in the modeling of unknown system identification problem. These techniques can be classified as either iterative or direct. Iterative techniques include stochastic descent method and its improved versions in affine space. In this paper we present a comparative study of the least mean square (LMS) algorithm and some improved versions of LMS, more precisely the normalized LMS (NLMS), LMS-Newton, transform domain LMS (TDLMS) and affine projection algorithm (APA). The performance evaluation of these algorithms is carried out using adaptive system identification (ASI) model with random input signals, in which the unknown (measured) signal is assumed to be contaminated by output noise. Simulation results are recorded to compare the performance in terms of convergence speed, robustness, misalignment, and their sensitivity to the spectral properties of input signals. Main objective of this comparative study is to observe the effects of fast convergence rate of improved versions of LMS algorithms on their robustness and misalignment.

  10. Production of unknown transactinides in asymmetry-exit-channel quasifission reactions

    SciTech Connect (OSTI)

    Adamian, G.G.; Antonenko, N. V.; Zubov, A. S.

    2005-03-01

    Possibilities of production of new isotopes of superheavy nuclei with charge numbers 104-108 in asymmetry-exit-channel quasifission reactions are studied for the first time. The optimal conditions for the synthesis are suggested in this type of reaction. The products of suggested reactions can fill a gap of unknown isotopes between the isotopes of heaviest nuclei obtained in cold and hot complete fusion reactions.

  11. GIS keyword | OpenEI Community

    Open Energy Info (EERE)

    Open government map data initiatives in the USA or Canada? IRENA launches global atlas of renewable energy potential more Group members (8) Managers: NickL Recent members:...

  12. Models Datasets

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    iteration by iteration. RevSim is an Excel 2010 based model. Much of the logic is VBA code (Visual Basic for Applications); the user does not need to know VBA to run the...

  13. Evaluation of Methods for Comparison of Spatiotemporal and Time Series Datasets

    SciTech Connect (OSTI)

    Getman, Dan; Bush, Brian; Inman, Danny; Elmore, Ryan

    2015-04-07

    Data used by the National Renewable Energy Laboratory (NREL) in energy analysis are often produced by industry and licensed or purchased for analysis. While this practice provides needed flexibility in selecting data for analysis it presents challenges in understanding the differences among multiple, ostensibly similar, datasets. As options for source data become more varied, it is important to be able to articulate why certain datasets were chosen and to ensure those include the data that best meet the boundaries and/or limitations of a particular analysis. This report represents the first of three phases of research intended to develop methods to quantitatively assess and compare both input datasets and the results of analyses performed at NREL. This capability is critical to identifying tipping points in the costs or benefits of achieving high spatial and temporal resolution of input data.

  14. OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets August 27, 2013 Contact: Linda Vu, +1 510 495 2402, lvu@lbl.gov OpenMSINERSC.jpg This overlay of mass spectrometry images shows the spatial distribution of three different kind of lipids across a whole mouse cross-section. Lipids act as the structural components of cell membranes and are responsible for energy storage, among other things. Image credit:

  15. PoroTomo Subtask 3.5 GPS Data Analysis (Dataset) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Dataset: PoroTomo Subtask 3.5 GPS Data Analysis Citation Details In-Document Search Title: PoroTomo Subtask 3.5 GPS Data Analysis GPS RINEX Files and Time-Series Authors: Corne Kreemer Publication Date: 2015-01-01 OSTI Identifier: 1176866 Report Number(s): 477 DOE Contract Number: EE0006760 Resource Type: Dataset Data Type: Specialized Mix Research Org: DOE Geothermal Data Repository; University of Nevada Reno Sponsoring Org: USDOE Office of Energy Efficiency and Renewable Energy (EERE),

  16. Reconstruction of signals with unknown spectra in information field theory with parameter uncertainty

    SciTech Connect (OSTI)

    Ensslin, Torsten A.; Frommert, Mona [Max-Planck-Institut fuer Astrophysik, Karl-Schwarzschild-Str. 1, 85741 Garching (Germany)

    2011-05-15

    The optimal reconstruction of cosmic metric perturbations and other signals requires knowledge of their power spectra and other parameters. If these are not known a priori, they have to be measured simultaneously from the same data used for the signal reconstruction. We formulate the general problem of signal inference in the presence of unknown parameters within the framework of information field theory. To solve this, we develop a generic parameter-uncertainty renormalized estimation (PURE) technique. As a concrete application, we address the problem of reconstructing Gaussian signals with unknown power-spectrum with five different approaches: (i) separate maximum-a-posteriori power-spectrum measurement and subsequent reconstruction, (ii) maximum-a-posteriori reconstruction with marginalized power-spectrum, (iii) maximizing the joint posterior of signal and spectrum, (iv) guessing the spectrum from the variance in the Wiener-filter map, and (v) renormalization flow analysis of the field-theoretical problem providing the PURE filter. In all cases, the reconstruction can be described or approximated as Wiener-filter operations with assumed signal spectra derived from the data according to the same recipe, but with differing coefficients. All of these filters, except the renormalized one, exhibit a perception threshold in case of a Jeffreys prior for the unknown spectrum. Data modes with variance below this threshold do not affect the signal reconstruction at all. Filter (iv) seems to be similar to the so-called Karhune-Loeve and Feldman-Kaiser-Peacock estimators for galaxy power spectra used in cosmology, which therefore should also exhibit a marginal perception threshold if correctly implemented. We present statistical performance tests and show that the PURE filter is superior to the others, especially if the post-Wiener-filter corrections are included or in case an additional scale-independent spectral smoothness prior can be adopted.

  17. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    License Info DISCLAIMER NOTICE This GIS data was developed by the National Renewable Energy Laboratory... ZIP Wind: wind power density maps at 50m above ground and 1km...

  18. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    file contains all the components... ZIP University of Massachusetts Marine Renewable Energy Center Waverider Bouy Data The compressed (.zip) file contains Datawell MK-III...

  19. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    matter smaller than 2.5m and smaller than... CSV State Energy Efficient Appliance Rebate Program (SEEARP) reports database The State Energy Efficient Appliance Rebate Program...

  20. Nitrogen concentration and isotope dataset for environmental samples from 2012 and 2013, Barrow, Alaska

    SciTech Connect (OSTI)

    Jeff Heikoop; Heather Throckmorton

    2015-05-15

    Dataset includes nitrate concentrations for polygonal active layer samples, snowmelt; ammonium concentrations for active layer samples; nitrate isotopes for active layer samples, snowmelt, permafrost; ammonium isotopes for active layer samples; and nitrogen isotopes for soils and dissolved organic nitrogen extracted from soil pore waters.

  1. Partition dataset according to amino acid type improves the prediction of deleterious non-synonymous SNPs

    SciTech Connect (OSTI)

    Yang, Jing; Li, Yuan-Yuan; Shanghai Center for Bioinformation Technology, Shanghai 200235 ; Li, Yi-Xue; Shanghai Center for Bioinformation Technology, Shanghai 200235 ; Ye, Zhi-Qiang; Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031

    2012-03-02

    Highlights: Black-Right-Pointing-Pointer Proper dataset partition can improve the prediction of deleterious nsSNPs. Black-Right-Pointing-Pointer Partition according to original residue type at nsSNP is a good criterion. Black-Right-Pointing-Pointer Similar strategy is supposed promising in other machine learning problems. -- Abstract: Many non-synonymous SNPs (nsSNPs) are associated with diseases, and numerous machine learning methods have been applied to train classifiers for sorting disease-associated nsSNPs from neutral ones. The continuously accumulated nsSNP data allows us to further explore better prediction approaches. In this work, we partitioned the training data into 20 subsets according to either original or substituted amino acid type at the nsSNP site. Using support vector machine (SVM), training classification models on each subset resulted in an overall accuracy of 76.3% or 74.9% depending on the two different partition criteria, while training on the whole dataset obtained an accuracy of only 72.6%. Moreover, the dataset was also randomly divided into 20 subsets, but the corresponding accuracy was only 73.2%. Our results demonstrated that partitioning the whole training dataset into subsets properly, i.e., according to the residue type at the nsSNP site, will improve the performance of the trained classifiers significantly, which should be valuable in developing better tools for predicting the disease-association of nsSNPs.

  2. Automatic Diabetic Macular Edema Detection in Fundus Images Using Publicly Available Datasets

    SciTech Connect (OSTI)

    Giancardo, Luca; Meriaudeau, Fabrice; Karnowski, Thomas Paul; Li, Yaquin; Garg, Seema; Tobin Jr, Kenneth William; Chaum, Edward

    2011-01-01

    Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, we introduce a new methodology for diagnosis of DME using a novel set of features based on colour, wavelet decomposition and automatic lesion segmentation. These features are employed to train a classifier able to automatically diagnose DME. We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publicly available datasets are employed to evaluate our algorithm. We are able to achieve diagnosis performance comparable to retina experts on the MESSIDOR (an independently labelled dataset with 1200 images) with cross-dataset testing. Our algorithm is robust to segmentation uncertainties, does not need ground truth at lesion level, and is very fast, generating a diagnosis on an average of 4.4 seconds per image on an 2.6 GHz platform with an unoptimised Matlab implementation.

  3. Distributed File System Utilities to Manage Large DatasetsVersion 0.5

    Energy Science and Technology Software Center (OSTI)

    2014-05-21

    FileUtils provides a suite of tools to manage large datasets typically created by large parallel MPI applications. They are written in C and use standard POSIX I/Ocalls. The current suite consists of tools to copy, compare, remove, and list. The tools provide dramatic speedup over existing Linux tools, which often run as a single process.

  4. The role of metadata in managing large environmental science datasets. Proceedings

    SciTech Connect (OSTI)

    Melton, R.B.; DeVaney, D.M.; French, J. C.

    1995-06-01

    The purpose of this workshop was to bring together computer science researchers and environmental sciences data management practitioners to consider the role of metadata in managing large environmental sciences datasets. The objectives included: establishing a common definition of metadata; identifying categories of metadata; defining problems in managing metadata; and defining problems related to linking metadata with primary data.

  5. Large scale validation of the M5L lung CAD on heterogeneous CT datasets

    SciTech Connect (OSTI)

    Lopez Torres, E. E-mail: cerello@to.infn.it; Fiorina, E.; Pennazio, F.; Peroni, C.; Saletta, M.; Cerello, P. E-mail: cerello@to.infn.it; Camarlinghi, N.; Fantacci, M. E.

    2015-04-15

    Purpose: M5L, a fully automated computer-aided detection (CAD) system for the detection and segmentation of lung nodules in thoracic computed tomography (CT), is presented and validated on several image datasets. Methods: M5L is the combination of two independent subsystems, based on the Channeler Ant Model as a segmentation tool [lung channeler ant model (lungCAM)] and on the voxel-based neural approach. The lungCAM was upgraded with a scan equalization module and a new procedure to recover the nodules connected to other lung structures; its classification module, which makes use of a feed-forward neural network, is based of a small number of features (13), so as to minimize the risk of lacking generalization, which could be possible given the large difference between the size of the training and testing datasets, which contain 94 and 1019 CTs, respectively. The lungCAM (standalone) and M5L (combined) performance was extensively tested on 1043 CT scans from three independent datasets, including a detailed analysis of the full Lung Image Database Consortium/Image Database Resource Initiative database, which is not yet found in literature. Results: The lungCAM and M5L performance is consistent across the databases, with a sensitivity of about 70% and 80%, respectively, at eight false positive findings per scan, despite the variable annotation criteria and acquisition and reconstruction conditions. A reduced sensitivity is found for subtle nodules and ground glass opacities (GGO) structures. A comparison with other CAD systems is also presented. Conclusions: The M5L performance on a large and heterogeneous dataset is stable and satisfactory, although the development of a dedicated module for GGOs detection could further improve it, as well as an iterative optimization of the training procedure. The main aim of the present study was accomplished: M5L results do not deteriorate when increasing the dataset size, making it a candidate for supporting radiologists on large

  6. Equilibrium Response and Transient Dynamics Datasets from VEMAP: Vegetation/Ecosystem Modeling and Analysis Project

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Vegetation-Ecosystem Modeling and Analysis Project (VEMAP) was a large, collaborative, multi-agency program to simulate and understand ecosystem dynamics for the continental U.S. The project involved the development of common data sets for model input including a high-resolution topographically-adjusted climate history of the U.S. from 1895-1993 on a 0.5? grid, with soils and vegetation cover. The vegetation cover data set includes a detailed agricultural data base based on USDA statistics and remote sensing, as well as natural vegetation (also derived from satellite imagery). Two principal model experiments were run. First, a series of ecosystem models were run from 1895 to 1993 to simulate current ecosystem biogeochemistry. Second, these same models were integrated forward using the output from two climate system models (CCC (Canadian Climate Centre) and Hadley Centre models) using climate results translated into the VEMAP grid and re-adjusted for high-resolution topography for the simulated period 1994-2100.[Quoted from http://www.cgd.ucar.edu/vemap/findings.html] The VEMAP Data Portal is a central collection of files maintained and serviced by the NCAR Data Group. These files (the VEMAP Community Datasets) represent a complete and current collection of VEMAP data files. All data files available through the Data Portal have undergone extensive quality assurance.[Taken from http://www.cgd.ucar.edu/vemap/datasets.html] Users of the VEMAP Portal can access input files of numerical data that include monthly and daily files of geographic data, soil and site files, scenario files, etc. Model results from Phase I, the Equilibrium Response datasets, are available through the NCAR anonymous FTP site at http://www.cgd.ucar.edu/vemap/vresults.html. Phase II, Transient Dynamics, include climate datasets, models results, and analysis tools. Many supplemental files are also available from the main data page at http://www.cgd.ucar.edu/vemap/datasets.html.

  7. Fact #850: December 8, 2014 Automatic Transmissions have closed the Fuel Economy Gap with Manual Transmissions- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #850: December 8, 2014 Automatic Transmissions have closed the Fuel Economy Gap with Manual Transmissions

  8. Development of Regional Wind Resource and Wind Plant Output Datasets. Final Subcontract Report, 15 October 2007 - 15 March 2009

    SciTech Connect (OSTI)

    Lew, Debra

    2010-03-01

    This report describes the development of the necessary and needed wind and solar datasets used in the Western Wind and Solar Integration Study (WWSIS).

  9. Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise

  10. Fact #853 December 29, 2014 Stop/Start Technology is in nearly 5% of All New Light Vehicles Produced- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #853: December  29, 2014 Stop/Start Technology is in nearly 5% of All New Light Vehicles Produced

  11. Fact #845: November 3, 2014 From 1970 to 2013 the Share of Older Vehicles in Operation has Increased – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #845: From 1970 to 2013 the Share of Older Vehicles in Operation has Increased

  12. Fact #839: September 22, 2014 World Petroleum Consumption Continues to Rise despite Declines from the United States and Europe- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #839: World Petroleum Consumption Continues to Rise despite Declines from the United States and Europe

  13. Fact #838: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013- Dataset

    Office of Energy Efficiency and Renewable Energy (EERE)

    Excel file with dataset for Fact #838: Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013

  14. Fact #844: October 27, 2014 Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown – Dataset

    Office of Energy Efficiency and Renewable Energy (EERE)

    Excel file with dataset for Fact #844: Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown

  15. Discovering the Unknown: Improving Detection of Novel Species and Genera from Short Reads

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Rosen, Gail L.; Polikar, Robi; Caseiro, Diamantino A.; Essinger, Steven D.; Sokhansanj, Bahrad A.

    2011-01-01

    High-throughput sequencing technologies enable metagenome profiling, simultaneous sequencing of multiple microbial species present within an environmental sample. Since metagenomic data includes sequence fragments (“reads”) from organisms that are absent from any database, new algorithms must be developed for the identification and annotation of novel sequence fragments. Homology-based techniques have been modified to detect novel species and genera, but, composition-based methods, have not been adapted. We develop a detection technique that can discriminate between “known” and “unknown” taxa, which can be used with composition-based methods, as well as a hybrid method. Unlike previous studies, we rigorously evaluate all algorithms for theirmore » ability to detect novel taxa. First, we show that the integration of a detector with a composition-based method performs significantly better than homology-based methods for the detection of novel species and genera, with best performance at finer taxonomic resolutions. Most importantly, we evaluate all the algorithms by introducing an “unknown” class and show that the modified version of PhymmBL has similar or better overall classification performance than the other modified algorithms, especially for the species-level and ultrashort reads. Finally, we evaluate theperformance of several algorithms on a real acid mine drainage dataset.« less

  16. Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint

    SciTech Connect (OSTI)

    Draxl, C.; Hodge, B. M.; Orwig, K.; Jones, W.; Searight, K.; Getman, D.; Harrold, S.; McCaa, J.; Cline, J.; Clark, C.

    2013-10-01

    Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than 110,000 onshore and offshore wind power production sites.

  17. Automated Analysis of Renewable Energy Datasets ('EE/RE Data Mining')

    SciTech Connect (OSTI)

    Bush, Brian; Elmore, Ryan; Getman, Dan; Inman, Daniel; Kalendra, Eric

    2013-06-13

    This poster illustrates methods to substantially improve the understanding of renewable energy data sets and the depth and efficiency of their analysis through the application of statistical learning methods ('data mining') in the intelligent processing of these often large and messy information sources. The six examples apply methods for anomaly detection, data cleansing, and pattern mining to time-series data (measurements from metering points in buildings) and spatiotemporal data (renewable energy resource datasets).

  18. PoroTomo Subtask 6.3 Reftek Seismometer Metadata (Dataset) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Reftek Seismometer Metadata Citation Details In-Document Search Title: PoroTomo Subtask 6.3 Reftek Seismometer Metadata Metadata for the Reftek seismometer array deployed at the POROTOMO's Natural Laboratory in Brady Hot Spring, Nevada during the March 2016 testing. Authors: Lesley Parker Publication Date: 2016-03-26 OSTI Identifier: 1261985 Report Number(s): 827 DOE Contract Number: EE0006760 Resource Type: Dataset Data Type: Specialized Mix Research Org: DOE Geothermal Data

  19. Production and Injection data for NV Binary facilities (Dataset) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Dataset: Production and Injection data for NV Binary facilities Citation Details In-Document Search Title: Production and Injection data for NV Binary facilities Excel files are provided with well production and injection data for binary facilities in Nevada. The files contain the data that reported montly to the Nevada Bureau of Mines and Geology (NBMG) by the facility operators. this data has been complied into Excel spreadsheets for each of the facilities given on the NBMG web

  20. Wind Integration National Dataset (WIND) Toolkit; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Draxl, Caroline; Hodge, Bri-Mathias

    2015-07-14

    A webinar about the Wind Integration National Dataset (WIND) Toolkit was presented by Bri-Mathias Hodge and Caroline Draxl on July 14, 2015. It was hosted by the Southern Alliance for Clean Energy. The toolkit is a grid integration data set that contains meteorological and power data at a 5-minute resolution across the continental United States for 7 years and hourly power forecasts.

  1. Bulk Data Movement for Climate Dataset: Efficient Data Transfer Management with Dynamic Transfer Adjustment

    SciTech Connect (OSTI)

    Sim, Alexander; Balman, Mehmet; Williams, Dean N.; Shoshani, Arie; Natarajan, Vijaya

    2010-07-16

    Many scientific applications and experiments, such as high energy and nuclear physics, astrophysics, climate observation and modeling, combustion, nano-scale material sciences, and computational biology, generate extreme volumes of data with a large number of files. These data sources are distributed among national and international data repositories, and are shared by large numbers of geographically distributed scientists. A large portion of data is frequently accessed, and a large volume of data is moved from one place to another for analysis and storage. One challenging issue in such efforts is the limited network capacity for moving large datasets to explore and manage. The Bulk Data Mover (BDM), a data transfer management tool in the Earth System Grid (ESG) community, has been managing the massive dataset transfers efficiently with the pre-configured transfer properties in the environment where the network bandwidth is limited. Dynamic transfer adjustment was studied to enhance the BDM to handle significant end-to-end performance changes in the dynamic network environment as well as to control the data transfers for the desired transfer performance. We describe the results from the BDM transfer management for the climate datasets. We also describe the transfer estimation model and results from the dynamic transfer adjustment.

  2. Role of Definitive Radiation Therapy in Carcinoma of Unknown Primary in the Abdomen and Pelvis

    SciTech Connect (OSTI)

    Kelly, Patrick; Das, Prajnan; Varadhachary, Gauri R.; Fontanilla, Hiral P.; Krishnan, Sunil; Delclos, Marc E.; Jhingran, Anuja; Eifel, Patricia J.; Crane, Christopher H.

    2012-04-01

    Objectives: Carcinoma of unknown primary (CUP) in the abdomen and pelvis is a heterogeneous group of cancers with no standard treatment. Considered by many to be incurable, these patients are often treated with chemotherapy alone. In this study, we determined the effectiveness of radiation therapy in combination with chemotherapy in patients with CUP in the abdomen and pelvis. Patients and Methods: Medical records were reviewed for 37 patients with CUP treated with radiation therapy for disease located in the soft tissues and/or nodal basins of the abdomen and pelvis at University of Texas M.D. Anderson Cancer between 2002 and 2009. All patients underwent chemotherapy, either before or concurrent with radiation therapy. Patients were selected for radiation therapy on the basis of histologic type, disease extent, and prior therapy response. Twenty patients underwent definitive radiation therapy (defined as radiation therapy targeting all known disease sites with at least 45 Gy) and 17 patients underwent palliative radiation therapy. Only 6 patients had surgical resection of their disease. Patient and treatment characteristics were extracted and the endpoints of local disease control, progression-free survival (PFS), overall survival (OS), and treatment-related toxicity incidence were analyzed. Results: The 2-year PFS and OS rates for the entire cohort were 32% and 57%, respectively. However, in patients treated with definitive radiation therapy, the rates were 48% and 76%, and 7 patients lived more than 3 years after treatment with no evidence of disease progression. Nevertheless, radiation-associated toxicity was significant in this cohort, as 40% experienced Grade 2 or higher late toxicities. Conclusions: The use of definitive radiation therapy should be considered in selected patients with CUP in the soft tissues or nodal basins of the abdomen and pelvis.

  3. OSTIblog Articles in the datasets Topic | OSTI, US Dept of Energy Office of

    Office of Scientific and Technical Information (OSTI)

    Scientific and Technical Information datasets Topic Exploring DOE's Data by Jannean Elliott 15 Dec, 2014 in I've always been a "window shopper." I don't want to go in and find the store directory, follow the little map, go up the escalator and through the racks...unless the window displays tell me it will probably be worth my time. I tend to approach databases the same way; I want to know what's in there. Not only do I want some reassurance that what I need is there, but I also

  4. Development of a high-resolution bathymetry dataset for the Columbia River through the Hanford Reach

    SciTech Connect (OSTI)

    Coleman, Andre M.; Ward, Duane L.; Larson, Kyle B.; Lettrick, Joseph W.

    2010-10-08

    A bathymetric and topographic data collection and processing effort involving existing and newly collected data has been performed for the Columbia River through the Hanford Reach in central Washington State, extending 60-miles from the tailrace of Priest Rapids Dam (river mile 397) to near the vicinity of the Interstate 182 bridge just upstream of the Yakima River confluence (river mile 337). The contents of this report provide a description of the data collections, data inputs, processing methodology, and final data quality assessment used to develop a comprehensive and continuous merged 1m resolution bathymetric and topographic surface dataset for the Columbia River through the Hanford Reach.

  5. Overview and Meteorological Validation of the Wind Integration National Dataset toolkit

    SciTech Connect (OSTI)

    Draxl, C.; Hodge, B. M.; Clifton, A.; McCaa, J.

    2015-04-13

    The Wind Integration National Dataset (WIND) Toolkit described in this report fulfills these requirements, and constitutes a state-of-the-art national wind resource data set covering the contiguous United States from 2007 to 2013 for use in a variety of next-generation wind integration analyses and wind power planning. The toolkit is a wind resource data set, wind forecast data set, and wind power production and forecast data set derived from the Weather Research and Forecasting (WRF) numerical weather prediction model. WIND Toolkit data are available online for over 116,000 land-based and 10,000 offshore sites representing existing and potential wind facilities.

  6. International H2O Project (IHOP) 2002: Datasets Related to Atmospheric Moisture and Rainfall Prediction

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Schanot, Allen [IHOP 2002 PI; Friesen, Dick [IHOP 2002 PI

    IHOP 2002 was a field experiment that took place over the Southern Great Plains of the United States from 13 May to 25 June 2002. The chief aim of IHOP_2002 was improved characterization of the four-dimensional (4-D) distribution of water vapor and its application to improving the understanding and prediction of convection. The region was an optimal location due to existing experimental and operational facilities, strong variability in moisture, and active convection [copied from http://www.eol.ucar.edu/projects/ihop/]. The project's master list of data identifies 146 publicly accessible datasets.

  7. Evaluation of Global Monsoon Precipitation Changes based on Five Reanalysis Datasets

    SciTech Connect (OSTI)

    Lin, Renping; Zhou, Tianjun; Qian, Yun

    2014-02-01

    With the motivation to identify whether or not a reasonably simulated atmospheric circulation would necessarily lead to a successful reproduction of monsoon precipitation, the performances of five sets of reanalysis data (NCEP2, ERA40, JRA25, ERA-Interim and MERRA) in reproducing the climatology, interannual variation and long-term trend of global monsoon (GM) precipitation are comprehensively evaluated. In order to better understand the variability and long-term trend of GM precipitation, we also examined the major components of water budget, including evaporation, water vapor convergence and the change in local water vapor storage, based on five reanalysis datasets. The results show that all five reanalysis data reasonably reproduce the climatology of GM precipitation. The ERA-Interim (NCEP2) shows the highest (lowest) skill among the five datasets. The observed GM precipitation shows an increasing tendency during 1979-2001 along with a strong interannual variability, which is reasonably reproduced by the five sets of reanalysis data. The observed increasing trend of GM precipitation is dominated by the contribution from the North African, North American and Australian monsoons. All five data fail in reproducing the increasing tendency of North African monsoon precipitation. The wind convergence term in water budget equation dominate the GM precipitation variation, indicating a consistency between the GM precipitation and the seasonal change of prevailing wind.

  8. FY13 Summary Report on the Augmentation of the Spent Fuel Composition Dataset for Nuclear Forensics: SFCOMPO/NF

    SciTech Connect (OSTI)

    Brady Raap, Michaele C.; Lyons, Jennifer A.; Collins, Brian A.; Livingston, James V.

    2014-03-31

    This report documents the FY13 efforts to enhance a dataset of spent nuclear fuel isotopic composition data for use in developing intrinsic signatures for nuclear forensics. A review and collection of data from the open literature was performed in FY10. In FY11, the Spent Fuel COMPOsition (SFCOMPO) excel-based dataset for nuclear forensics (NF), SFCOMPO/NF was established and measured data for graphite production reactors, Boiling Water Reactors (BWRs) and Pressurized Water Reactors (PWRs) were added to the dataset and expanded to include a consistent set of data simulated by calculations. A test was performed to determine whether the SFCOMPO/NF dataset will be useful for the analysis and identification of reactor types from isotopic ratios observed in interdicted samples.

  9. Fact #871: May 4, 2015 Most Manufacturers Have Positive CAFE Credit Balances at the End of Model Year 2013 – Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Most Manufacturers Have Positive CAFE Credit Balances at the End of Model Year 2013

  10. Fact #869: April 20, 2015 Gasoline Direct Injection Captures 38% Market Share in Just Seven Years from First Significant Use – Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Gasoline Direct Injection Captures 38% Market Share in Just Seven Years from First Significant Use

  11. A Faster Parallel Algorithm and Efficient Multithreaded Implementations for Evaluating Betweenness Centrality on Massive Datasets

    SciTech Connect (OSTI)

    Madduri, Kamesh; Ediger, David; Jiang, Karl; Bader, David A.; Chavarria-Miranda, Daniel

    2009-02-15

    We present a new lock-free parallel algorithm for computing betweenness centralityof massive small-world networks. With minor changes to the data structures, ouralgorithm also achieves better spatial cache locality compared to previous approaches. Betweenness centrality is a key algorithm kernel in HPCS SSCA#2, a benchmark extensively used to evaluate the performance of emerging high-performance computing architectures for graph-theoretic computations. We design optimized implementations of betweenness centrality and the SSCA#2 benchmark for two hardware multithreaded systems: a Cray XMT system with the Threadstorm processor, and a single-socket Sun multicore server with the UltraSPARC T2 processor. For a small-world network of 134 million vertices and 1.073 billion edges, the 16-processor XMT system and the 8-core Sun Fire T5120 server achieve TEPS scores (an algorithmic performance count for the SSCA#2 benchmark) of 160 million and 90 million respectively, which corresponds to more than a 2X performance improvement over the previous parallel implementations. To better characterize the performance of these multithreaded systems, we correlate the SSCA#2 performance results with data from the memory-intensive STREAM and RandomAccess benchmarks. Finally, we demonstrate the applicability of our implementation to analyze massive real-world datasets by computing approximate betweenness centrality for a large-scale IMDb movie-actor network.

  12. Visualization and quantification of evolving datasets. Final report: 8-1-93 - 4-30-97

    SciTech Connect (OSTI)

    Zabusky, N.; Silver, D.

    1999-07-20

    The material below is the final technical/progress report of the Laboratory for Visiometrics and Modeling (Vizlab) in visiometrics for the grant entitled Visualization and Quantification of Evolving Phenomena. This includes coordination with DOE supported scientists at Los Alamos National Laboratory (LANL) and Princeton Plasma Physics Laboratory (PPPL), and with theoretical and computational physicists at the National Institute of Fusion Science (NIFS) in Nagoya, Japan and the Institute of Laser Engineering (ILE) in Osaka, Japan. The authors research areas included: Enhancement and distribution of the DAVID environment, this is a 2D visualization environment incorporating many advanced quantifications and diagnostics useful for prediction, understanding, and reduced model formation; Feature extraction, tracking and quantification of 3D time-dependent datasets of non-linear and turbulent simulations both compressible and incompressible. This work is applicable to all 3D time-varying simulations; Visiometrics in shock-interface interactions and mixing for the Richtmyer-Meshkov (RM) environment. This work highlights reduced models for nonlinear evolutions and the role of density stratified interfaces (contact discontinuities) and has application to supernova physics, laser fusion and supersonic combustion. The collaborative projects included areas of (1) Feature extraction, tracking and quantification in 3D turbulence: compressible and incompressible; (2) Numerical Tokamak Project (NTP); (3) Data projection and reduced modeling for shock-interface interactions and mixing. (The Richtmyer-Meshkov (RM) environment relevant to laser fusion and combustion).

  13. Query and Visualization of extremely large network datasets over the web using Quadtree based KML Regional Network Links

    SciTech Connect (OSTI)

    Dadi, Upendra; Liu, Cheng; Vatsavai, Raju

    2009-01-01

    Geographic data sets are often very large in size. Interactive visualization of such data at all scales is not easy because of the limited resolution of the monitors and inability of visualization applications to handle the volume of data. This is especially true for large vector datasets. The end user s experience is frequently unsatisfactory when exploring such data over the web using a naive application. Network bandwidth is another contributing factor to the low performance. In this paper, a Quadtree based technique to visualize extremely large spatial network datasets over the web is described. It involves using custom developed algorithms leveraging a PostGIS database as the data source and Google Earth as the visualization client. This methodology supports both point and range queries along with non-spatial queries. This methodology is demonstrated using a network dataset consisting of several million links. The methodology is based on using some of the powerful features of KML (Keyhole Markup Language). Keyhole Markup Language (KML) is an Open Geospatial Consortium (OGC) standard for displaying geospatial data on Earth browsers. One of the features of KML is the notion of Network Links. Using network links, a wide range of geospatial data sources such as geodatabases, static files and geospatial data services can be simultaneously accessed and visualized seamlessly. Using the network links combined with Level of Detail principle, view based rendering and intelligent server and client-side caching, scalability in visualizing extremely large spatial datasets can be achieved.

  14. Low-altitude remote sensing dataset of DEM and RGB mosaic for AB corridor on July 13 2013 and L2 corridor on July 21 2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Baptiste Dafflon

    2015-04-07

    Low-altitude remote sensing dataset including DEM and RGB mosaic for AB (July 13 2013) and L2 corridor (July 21 2013)

  15. Fact #916: March 14, 2016 Fuel Savings/Emissions Reduction was the Top Reason Cited by Truck Fleet Management for Adopting Idle Reduction Technologies- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Fuel Savings/Emissions Reduction was the Top Reason Cited by Truck Fleet Management for Adopting Idle Reduction Technologies

  16. Fact #832: August 4, 2014 Over Half of the Refueling Stations in the U.S. and Canada Sell Diesel Fuel- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #832: Over Half of the Refueling Stations in the U.S. and Canada Sell Diesel Fuel

  17. Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014

  18. Fact #836: September 1, 2014 Non-OPEC Countries Supply Nearly Two-thirds of U.S. Petroleum Imports – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #836: Non-OPEC Countries Supply Nearly Two-thirds of U.S. Petroleum Imports

  19. Fact #913: February 22, 2016 The Most Common Warranty for Plug-In Vehicle Batteries is 8 Years/100,000 Miles- Dataset

    Office of Energy Efficiency and Renewable Energy (EERE)

    Excel file and dataset for The Most Common Warranty for Plug-In Vehicle Batteries is 8 Years/100,000 Miles

  20. Fact #854 January 5, 2015 Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Driving Ranges for All-Electric Vehicles in Model Year 2014 Vary from 62 to 265 Miles

  1. Fact #846: November 10, 2014 Trucks Move 70% of all Freight by Weight and 74% of Freight by Value – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #846: Trucks Move 70% of all Freight by Weight and 74% of Freight by Value

  2. Fact #923: May 2, 2016 Cylinder Deactivation was Used in More than a Quarter of New Light Trucks Produced in 2015- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Cylinder Deactivation was Used in More than a Quarter of New Light Trucks Produced in 2015

  3. Fact #863 March 9, 2015 Crude Oil Accounts for the Majority of Primary Energy Imports while Exports are Mostly Petroleum Products – Dataset

    Office of Energy Efficiency and Renewable Energy (EERE)

    Excel file and dataset for Crude Oil Accounts for the Majority of Primary Energy Imports while Exports are Mostly Petroleum Products

  4. Fact #933: July 11, 2016 Texas, North Dakota, and the Gulf of Mexico Account for Two-Thirds of U.S. Crude Oil Production- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Texas, North Dakota, and the Gulf of Mexico Account for Two-Thirds of U.S. Crude Oil Production

  5. Fact #927: May 30, 2016 The United States Imported Over $70 Billion Worth of Vehicles and Parts from Mexico in 2015- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for The United States Imported Over $70 Billion Worth of Vehicles and Parts from Mexico in 2015

  6. Fact #909: January 25, 2016 Workplace Charging Accounts for About a Third of All Plug-in Vehicle Charging Sessions in the INL EV Project Study- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Workplace Charging Accounts for About a Third of All Plug-in Vehicle Charging Sessions in the INL EV Project Study

  7. Fact #848: November 24, 2014 Nearly Three-Fourths of New Cars have Fuel Economy above 25 Miles per Gallon- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #848: November 24, 2014 Nearly Three-Fourths of New Cars have Fuel Economy above 25 Miles per Gallon

  8. Fact #852 December 22, 2014 Turbocharged Engines Account for 64.7% of all Four-Cylinder Gasoline Car Engines in 2014- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #852 December 22, 2014 Turbocharged Engines Account for 64.7% of all Four-Cylinder Gasoline Car Engines in 2014

  9. Fact #941: September 5, 2016 Mid-term Evaluation of the Corporate Average Fuel Economy Standards May Impact Future Standards for Model Years 2022 to 2025- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Mid-term Evaluation of the Corporate Average Fuel Economy Standards May Impact Future Standards for Model Years 2022 to 2025

  10. The structure of the cyanobactin domain of unknown function from PatG in the patellamide gene cluster

    SciTech Connect (OSTI)

    Mann, Greg; Koehnke, Jesko; Bent, Andrew F.; Graham, Rachael; Houssen, Wael; Jaspars, Marcel; Schwarz-Linek, Uli; Naismith, James H.

    2014-11-14

    The highly conserved domain of unknown function in the cyanobactin superfamily has a novel fold. The protein does not appear to bind the most plausible substrates, leaving questions as to its role. Patellamides are members of the cyanobactin family of ribosomally synthesized and post-translationally modified cyclic peptide natural products, many of which, including some patellamides, are biologically active. A detailed mechanistic understanding of the biosynthetic pathway would enable the construction of a biotechnological toolkit to make novel analogues of patellamides that are not found in nature. All but two of the protein domains involved in patellamide biosynthesis have been characterized. The two domains of unknown function (DUFs) are homologous to each other and are found at the C-termini of the multi-domain proteins PatA and PatG. The domain sequence is found in all cyanobactin-biosynthetic pathways characterized to date, implying a functional role in cyanobactin biosynthesis. Here, the crystal structure of the PatG DUF domain is reported and its binding interactions with plausible substrates are investigated.

  11. Improved Dosimetric and Clinical Outcomes With Intensity-Modulated Radiotherapy for Head-and-Neck Cancer of Unknown Primary Origin

    SciTech Connect (OSTI)

    Chen, Allen M.; Li Baoqing; Farwell, D. Gregory; Marsano, Joseph; Vijayakumar, Srinivasan; Purdy, James A.

    2011-03-01

    Purpose: To compare differences in dosimetric, clinical, and quality-of-life endpoints among a cohort of patients treated by intensity-modulated radiotherapy (IMRT) and conventional radiotherapy (CRT) for head-and-neck cancer of unknown primary origin. Methods and Materials: The medical records of 51 patients treated by radiation therapy for squamous cell carcinoma of the head and neck presenting as cervical lymph node metastasis of occult primary origin were reviewed. Twenty-four patients (47%) were treated using CRT, and 27 (53%) were treated using IMRT. The proportions of patients receiving concurrent chemotherapy were 54% and 63%, respectively. Results: The 2-year estimates of overall survival, local-regional control, and disease-specific survival for the entire patient population were 86%, 89%, and84%, respectively. There were no significant differences in any of these endpoints with respect to radiation therapy technique (p > 0.05 for all). Dosimetric analysis revealed that the use of IMRT resulted in significant improvements with respect to mean dose and V30 to the contralateral (spared) parotid gland. In addition, mean doses to the ipsilateral inner and middle ear structures were significantly reduced with IMRT (p < 0.05 for all). The incidence of severe xerostomia in the late setting was 58% and 11% among patients treated by CRT and IMRT, respectively (p < 0.001). The percentages of patients who were G-tube dependent at 6 months after treatment were 42% and 11%, respectively (p < 0.001). Conclusions: IMRT results in significant improvements in the therapeutic ratio among patients treated by radiation therapy for head-and-neck cancer of unknown primary origin.

  12. Indoor carbon dioxide concentrations and sick building syndrome symptoms in the BASE study revisited: Analyses of the 100 building dataset

    SciTech Connect (OSTI)

    Erdmann, Christine A.; Steiner, Kate C.; Apte, Michael G.

    2002-02-01

    In previously published analyses of the 41-building 1994-1996 USEPA Building Assessment Survey and Evaluation (BASE) dataset, higher workday time-averaged indoor minus outdoor CO{sub 2} concentrations (dCO{sub 2}) were associated with increased prevalence of certain mucous membrane and lower respiratory sick building syndrome (SBS) symptoms, even at peak dCO{sub 2} concentrations below 1,000 ppm. For this paper, similar analyses were performed using the larger 100-building 1994-1998 BASE dataset. Multivariate logistic regression analyses quantified the associations between dCO{sub 2} and the SBS symptoms, adjusting for age, sex, smoking status, presence of carpet in workspace, thermal exposure, relative humidity, and a marker for entrained automobile exhaust. Adjusted dCO{sub 2} prevalence odds ratios for sore throat and wheeze were 1.17 and 1.20 per 100-ppm increase in dCO{sub 2} (p <0.05), respectively. These new analyses generally support our prior findings. Regional differences in climate, building design, and operation may account for some of the differences observed in analyses of the two datasets.

  13. National Library of Energy : Main View : Search Results for Keyword...

    Office of Scientific and Technical Information (OSTI)

    site. Website Policies and Important Links Search capabilities provided by DOEOSTI Deep Web Technologies Source Status Additional Results Available There are more results...

  14. Property:OpenEI/Tool/Keyword | Open Energy Information

    Open Energy Info (EERE)

    +, Green Button Apps + Badema + Cleanweb Hackathon +, Boston +, Community Generated + Bioenergy KDF + Energy Efficiency and Renewable Energy (EERE) Tools + Biofuels Techno-Economic...

  15. Efficacy and Toxicity of Chemoradiotherapy Using Intensity-Modulated Radiotherapy for Unknown Primary of Head and Neck

    SciTech Connect (OSTI)

    Sher, David J.; Balboni, Tracy A.; Haddad, Robert I.; Norris, Charles M.; Posner, Marshall R.; Wirth, Lori J.; Goguen, Laura A.; Annino, Donald; Tishler, Roy B.

    2011-08-01

    Purpose: No single standard treatment paradigm is available for head-and-neck squamous cell carcinoma of an unknown primary (HNCUP). Bilateral neck radiotherapy with mucosal axis irradiation is widely used, with or without chemotherapy and/or surgical resection. Intensity-modulated radiotherapy (IMRT) is a highly conformal method for delivering radiation that is becoming the standard of care and might reduce the long-term treatment-related sequelae. We report the Dana-Farber Cancer Institute experience with IMRT-based treatment for HNCUP. Patients and Materials: A retrospective study of all patients treated at the Dana-Farber Cancer Institute for HNCUP with IMRT between August 2004 and January 2009. The primary endpoint was overall survival; the secondary endpoints were locoregional and distant control, and acute and chronic toxicity. Results: A total of 24 patients with HNCUP were included. Of these patients, 22 had Stage N2 disease or greater. All patients underwent neck computed tomography, positron emission tomography-computed tomography, and examination under anesthesia with directed biopsies. Of the 24 patients, 22 received concurrent chemotherapy, and 7 (29%) also underwent induction chemotherapy. The median involved nodal dose was 70 Gy, and the median mucosal dose was 60 Gy. With a median follow-up of 2.1 years, the 2-year actuarial overall survival and locoregional control rate was 92% and 100%, respectively. Only 25% of the patients had Grade 2 xerostomia, although 11 patients (46%) required esophageal dilation for stricture. Conclusion: In a single-institution series, IMRT-based chemoradiotherapy for HNCUP was associated with superb overall survival and locoregional control. The xerostomia rates were promising, but the aggressive therapy was associated with significant rates of esophageal stenosis.

  16. Teleportation of a two-qubit arbitrary unknown state using a four-qubit genuine entangled state with the combination of bell-state measurements

    SciTech Connect (OSTI)

    Dong, Li; Xiu, Xiao-Ming, E-mail: xiuxiaomingdl@126.com [Dalian University of Technology, School of Physics and Optoelectronic Technology (China)] [Dalian University of Technology, School of Physics and Optoelectronic Technology (China); Ren, Yuan-Peng [Bohai University, Higher Professional Technical Institute (China)] [Bohai University, Higher Professional Technical Institute (China); Gao, Ya-Jun [Bohai University, College of Mathematics and Physics (China)] [Bohai University, College of Mathematics and Physics (China); Yi, X. X. [Dalian University of Technology, School of Physics and Optoelectronic Technology (China)] [Dalian University of Technology, School of Physics and Optoelectronic Technology (China)

    2013-01-15

    We propose a protocol transferring an arbitrary unknown two-qubit state using the quantum channel of a four-qubit genuine entangled state. Simplifying the four-qubit joint measurement to the combination of Bell-state measurements, it can be realized more easily with currently available technologies.

  17. Models and Datasets

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    iteration by iteration. RevSim is an Excel 2010 based model. Much of the logic is VBA code (Visual Basic for Applications); the user does not need to know VBA to run the...

  18. An efficient parallel sampling technique for Multivariate Poisson-Lognormal model: Analysis with two crash count datasets

    SciTech Connect (OSTI)

    Zhan, Xianyuan; Aziz, H. M. Abdul; Ukkusuri, Satish V.

    2015-11-19

    Our study investigates the Multivariate Poisson-lognormal (MVPLN) model that jointly models crash frequency and severity accounting for correlations. The ordinary univariate count models analyze crashes of different severity level separately ignoring the correlations among severity levels. The MVPLN model is capable to incorporate the general correlation structure and takes account of the over dispersion in the data that leads to a superior data fitting. But, the traditional estimation approach for MVPLN model is computationally expensive, which often limits the use of MVPLN model in practice. In this work, a parallel sampling scheme is introduced to improve the original Markov Chain Monte Carlo (MCMC) estimation approach of the MVPLN model, which significantly reduces the model estimation time. Two MVPLN models are developed using the pedestrian vehicle crash data collected in New York City from 2002 to 2006, and the highway-injury data from Washington State (5-year data from 1990 to 1994) The Deviance Information Criteria (DIC) is used to evaluate the model fitting. The estimation results show that the MVPLN models provide a superior fit over univariate Poisson-lognormal (PLN), univariate Poisson, and Negative Binomial models. Moreover, the correlations among the latent effects of different severity levels are found significant in both datasets that justifies the importance of jointly modeling crash frequency and severity accounting for correlations.

  19. An efficient parallel sampling technique for Multivariate Poisson-Lognormal model: Analysis with two crash count datasets

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Zhan, Xianyuan; Aziz, H. M. Abdul; Ukkusuri, Satish V.

    2015-11-19

    Our study investigates the Multivariate Poisson-lognormal (MVPLN) model that jointly models crash frequency and severity accounting for correlations. The ordinary univariate count models analyze crashes of different severity level separately ignoring the correlations among severity levels. The MVPLN model is capable to incorporate the general correlation structure and takes account of the over dispersion in the data that leads to a superior data fitting. But, the traditional estimation approach for MVPLN model is computationally expensive, which often limits the use of MVPLN model in practice. In this work, a parallel sampling scheme is introduced to improve the original Markov Chainmore » Monte Carlo (MCMC) estimation approach of the MVPLN model, which significantly reduces the model estimation time. Two MVPLN models are developed using the pedestrian vehicle crash data collected in New York City from 2002 to 2006, and the highway-injury data from Washington State (5-year data from 1990 to 1994) The Deviance Information Criteria (DIC) is used to evaluate the model fitting. The estimation results show that the MVPLN models provide a superior fit over univariate Poisson-lognormal (PLN), univariate Poisson, and Negative Binomial models. Moreover, the correlations among the latent effects of different severity levels are found significant in both datasets that justifies the importance of jointly modeling crash frequency and severity accounting for correlations.« less

  20. Distributed computing strategies for processing of FT-ICR MS imaging datasets for continuous mode data visualization

    SciTech Connect (OSTI)

    Smith, Donald F.; Schulz, Carl; Konijnenburg, Marco; Kilic, Mehmet; Heeren, Ronald M.

    2015-03-01

    High-resolution Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry imaging enables the spatial mapping and identification of biomolecules from complex surfaces. The need for long time-domain transients, and thus large raw file sizes, results in a large amount of raw data (“big data”) that must be processed efficiently and rapidly. This can be compounded by largearea imaging and/or high spatial resolution imaging. For FT-ICR, data processing and data reduction must not compromise the high mass resolution afforded by the mass spectrometer. The continuous mode “Mosaic Datacube” approach allows high mass resolution visualization (0.001 Da) of mass spectrometry imaging data, but requires additional processing as compared to featurebased processing. We describe the use of distributed computing for processing of FT-ICR MS imaging datasets with generation of continuous mode Mosaic Datacubes for high mass resolution visualization. An eight-fold improvement in processing time is demonstrated using a Dutch nationally available cloud service.

  1. Fact #938: August 15, 2016 Median All-Electric Vehicle Range Grew from 73 Miles in Model Year 2011 to 83.5 Miles in Model Year 2016- Dataset

    Office of Energy Efficiency and Renewable Energy (EERE)

    Excel file and dataset for Median All-Electric Vehicle Range Grew from 73 Miles in Model Year 2011 to 83.5 Miles in Model Year 2016

  2. Fact #922: April 25, 2016 Share of Older Population Holding Driver’s Licenses is Up and Share of Younger Population Holding Driver’s Licenses is Down- Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Share of Older Population Holding Driver’s Licenses is Up and Share of Younger Population Holding Driver’s Licenses is Down

  3. Method for measuring dose-equivalent in a neutron flux with an unknown energy spectra and means for carrying out that method

    DOE Patents [OSTI]

    Distenfeld, Carl H.

    1978-01-01

    A method for measuring the dose-equivalent for exposure to an unknown and/or time varing neutron flux which comprises simultaneously exposing a plurality of neutron detecting elements of different types to a neutron flux and combining the measured responses of the various detecting elements by means of a function, whose value is an approximate measure of the dose-equivalent, which is substantially independent of the energy spectra of the flux. Also, a personnel neutron dosimeter, which is useful in carrying out the above method, comprising a plurality of various neutron detecting elements in a single housing suitable for personnel to wear while working in a radiation area.

  4. A dark-matter search using the final CDMS II dataset and a novel detector of surface radiocontamination

    SciTech Connect (OSTI)

    Ahmed, Zeeshan

    2012-01-01

    Substantial evidence from galaxies, galaxy clusters, and cosmological scales suggests that ~85% of the matter of our universe is invisible. The missing matter, or "dark matter" is likely composed of non-relativistic, non-baryonic particles, which have very rare interactions with baryonic matter and with one another. Among dark matter candidates, Weakly Interacting Massive Particles (WIMPs) are particularly well motivated. In the early universe, thermally produced particles with weak-scale mass and interactions would `freeze out’ at the correct density to be dark matter today. Extensions to the Standard Model of particle physics, such as Supersymmetry, which solve gauge hierarchy and coupling unification problems, naturally provide such particles. Interactions of WIMPs with baryons are expected to be rare, but might be detectable in low-noise detectors. The Cryogenic Dark Matter Search (CDMS) experiment uses ionization- and phonon- sensitive germanium particle detectors to search for such interactions. CDMS detectors are operated at the Soudan Underground Laboratory in Minnesota, within a shielded environment to lower cosmogenic and radioactive background. The combination of phonon and ionization signatures from the detectors provides excellent residual-background rejection. This dissertation presents improved techniques for phonon calibration of CDMS II detectors and the analysis of the final CDMS II dataset with 612 kg-days of exposure. We set a limit of 3.8x10$^{-}$44 cm$^{2}$ on WIMP-nucleon spin-independent scattering cross section for a WIMP mass of 70 GeV/c$^{2}$. At the time this analysis was published, these data presented the most stringent limits on WIMP scattering for WIMP masses over 42 GeV/c$^{2}$, ruling out previously unexplored parameter space. Next-generation rare-event searches such as SuperCDMS, COUPP, and CLEAN will be limited in sensitivity, unless they achieve stringent control of the surface radioactive contamination on their detectors. Low

  5. Radiation Therapy in the Management of Head-and-Neck Cancer of Unknown Primary Origin: How Does the Addition of Concurrent Chemotherapy Affect the Therapeutic Ratio?

    SciTech Connect (OSTI)

    Chen, Allen M.; Farwell, D. Gregory; Lau, Derick H.; Li Baoqing; Luu, Quang; Donald, Paul J.

    2011-10-01

    Purpose: To determine how the addition of cisplatin-based concurrent chemotherapy to radiation therapy influences outcomes among a cohort of patients treated for head-and-neck cancer of unknown primary origin. Methods and Materials: The medical records of 60 consecutive patients treated by radiation therapy for squamous cell carcinoma of the head and neck presenting as cervical lymph node metastasis of occult primary origin were reviewed. Thirty-two patients (53%) were treated by concurrent chemoradiation, and 28 patients (47%) were treated by radiation therapy alone. Forty-five patients (75%) received radiation therapy after surgical resection, and 15 patients (25%) received primary radiation therapy. Thirty-five patients (58%) were treated by intensity-modulated radiotherapy. Results: The 2-year estimates of overall survival, local-regional control, and progression-free survival were 89%, 89%, and 79%, respectively, among patients treated by chemoradiation, compared to 90%, 92%, and 83%, respectively, among patients treated by radiation therapy alone (p > 0.05, for all). Exploratory analysis failed to identify any subset of patients who benefited from the addition of concurrent chemotherapy to radiation therapy. The use of concurrent chemotherapy was associated with a significantly increased incidence of Grade 3+ acute and late toxicity (p < 0.001, for both). Conclusions: Concurrent chemoradiation is associated with significant toxicity without a clear advantage to overall survival, local-regional control, and progression-free survival in the treatment of head-and-neck cancer of unknown primary origin. Although selection bias cannot be ignored, prospective data are needed to further address this question.

  6. Treatment Planning Constraints to Avoid Xerostomia in Head-and-Neck Radiotherapy: An Independent Test of QUANTEC Criteria Using a Prospectively Collected Dataset

    SciTech Connect (OSTI)

    Moiseenko, Vitali, E-mail: vmoiseenko@bccancer.bc.ca [Department of Medical Physics, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Wu, Jonn [Department of Radiation Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Hovan, Allan [Department of Oral Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Saleh, Ziad; Apte, Aditya; Deasy, Joseph O. [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY (United States); Harrow, Stephen [Department of Radiation Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Rabuka, Carman; Muggli, Adam [Department of Oral Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada); Thompson, Anna [Department of Radiation Oncology, Vancouver Cancer Centre, British Columbia Cancer Agency, Vancouver, BC (Canada)

    2012-03-01

    Purpose: The severe reduction of salivary function (xerostomia) is a common complication after radiation therapy for head-and-neck cancer. Consequently, guidelines to ensure adequate function based on parotid gland tolerance dose-volume parameters have been suggested by the QUANTEC group and by Ortholan et al. We perform a validation test of these guidelines against a prospectively collected dataset and compared with a previously published dataset. Methods and Materials: Whole-mouth stimulated salivary flow data from 66 head-and-neck cancer patients treated with radiotherapy at the British Columbia Cancer Agency (BCCA) were measured, and treatment planning data were abstracted. Flow measurements were collected from 50 patients at 3 months, and 60 patients at 12-month follow-up. Previously published data from a second institution, Washington University in St. Louis (WUSTL), were used for comparison. A logistic model was used to describe the incidence of Grade 4 xerostomia as a function of the mean dose of the spared parotid gland. The rate of correctly predicting the lack of xerostomia (negative predictive value [NPV]) was computed for both the QUANTEC constraints and Ortholan et al. recommendation to constrain the total volume of both glands receiving more than 40 Gy to less than 33%. Results: Both datasets showed a rate of xerostomia of less than 20% when the mean dose to the least-irradiated parotid gland is kept to less than 20 Gy. Logistic model parameters for the incidence of xerostomia at 12 months after therapy, based on the least-irradiated gland, were D{sub 50} = 32.4 Gy and and {gamma} = 0.97. NPVs for QUANTEC guideline were 94% (BCCA data), and 90% (WUSTL data). For Ortholan et al. guideline NPVs were 85% (BCCA) and 86% (WUSTL). Conclusion: These data confirm that the QUANTEC guideline effectively avoids xerostomia, and this is somewhat more effective than constraints on the volume receiving more than 40 Gy.

  7. Contribution of Road Grade to the Energy Use of Modern Automobiles Across Large Datasets of Real-World Drive Cycles: Preprint

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Contribution of Road Grade to the Energy Use of Modern Automobiles Across Large Datasets of Real-World Drive Cycles Preprint Eric Wood, Evan Burton, Adam Duran, and Jeff Gonder To be presented at the SAE World Congress 2014 Detroit, Michigan April 8-10, 2014 Conference Paper NREL/CP-5400-61108 January 2014 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308.

  8. Fact #843: October 20, 2014 Cumulative Plug-in Electric Vehicle Sales are Two and a Half Times Higher than Hybrid Electric Vehicle Sales in the First 45 Months since Market Introduction – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #843: Cumulative Plug-in Electric Vehicle Sales are Two and a Half Times Higher than Hybrid Electric Vehicle Sales in the First 45 Months since Market Introduction

  9. Fact #872: May 11, 2015 Study Finds More than 60% of Millennials and Generation Xers Use the Internet to Find a Car Dealer While Less than Half of Baby Boomers Did – Dataset

    Broader source: Energy.gov [DOE]

    Excel file and dataset for Study Finds More than 60% of Millennials and Generation Xers Use the Internet to Find a Car Dealer While Less than Half of Baby Boomers Did

  10. Low-altitude remote sensing dataset of DEM and RGB mosaic for AB corridor on July 13 2013 and L2 corridor on July 21 2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Baptiste Dafflon

    2015-04-07

    Low-altitude remote sensing dataset including DEM and RGB mosaic for AB (July 13 2013) and L2 corridor (July 21 2013).Processing flowchart for each corridor:Ground control points (GCP, 20.3 cm square white targets, every 20 m) surveyed with RTK GPS. Acquisition of RGB pictures using a Kite-based platform. Structure from Motion based reconstruction using hundreds of pictures and GCP coordinates. Export of DEM and RGB mosaic in geotiff format (NAD 83, 2012 geoid, UTM zone 4 north) with pixel resolution of about 2 cm, and x,y,z accuracy in centimeter range (less than 10 cm). High-accuracy and high-resolution inside GCPs zone for L2 corridor (500x20m), AB corridor (500x40) DEM will be updated once all GCPs will be measured. Only zones between GCPs are accurate although all the mosaic is provided.

  11. World Climate Research Programme (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3): Multi-Model Dataset Archive at PCMDI (Program for Climate Model Diagnosis and Intercomparison)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    In response to a proposed activity of the WCRP's Working Group on Coupled Modelling (WGCM),PCMDI volunteered to collect model output contributed by leading modeling centers around the world. Climate model output from simulations of the past, present and future climate was collected by PCMDI mostly during the years 2005 and 2006, and this archived data constitutes phase 3 of the Coupled Model Intercomparison Project (CMIP3). In part, the WGCM organized this activity to enable those outside the major modeling centers to perform research of relevance to climate scientists preparing the Fourth Asssessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC was established by the World Meteorological Organization and the United Nations Environmental Program to assess scientific information on climate change. The IPCC publishes reports that summarize the state of the science. This unprecedented collection of recent model output is officially known as the WCRP CMIP3 multi-model dataset. It is meant to serve IPCC's Working Group 1, which focuses on the physical climate system - atmosphere, land surface, ocean and sea ice - and the choice of variables archived at the PCMDI reflects this focus. A more comprehensive set of output for a given model may be available from the modeling center that produced it. As of November 2007, over 35 terabytes of data were in the archive and over 303 terabytes of data had been downloaded among the more than 1200 registered users. Over 250 journal articles, based at least in part on the dataset, have been published or have been accepted for peer-reviewed publication. Countries from which models have been gathered include Australia, Canada, China, France, Germany and Korea, Italy, Japan, Norway, Russia, Great Britain and the United States. Models, variables, and documentation are collected and stored. Check http://www-pcmdi.llnl.gov/ipcc/data_status_tables.htm to see at a glance the output that is available

  12. Hydrogen Compatibility of Materials - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    and fatigue resistance are high priorities to ensure the safe design of load-bearing structures. To support the needs of the hydrogen community, Sandia National Laboratories...

  13. ARM: ARMBE 2D gridded surface dataset (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 ...

  14. Proposed Plan for the R-Area Bingham Pump Outage Pits (643-8G, -9G, -10G) and R-Area Unknown Pits No.1, No.2, No.3 (RUNK-1, -2, -3)

    SciTech Connect (OSTI)

    Mundy, S.

    2002-07-31

    The purpose of this proposed plan is to describe the preferred remedial alternative for the R-Area Bingham Pump Outage Pits (R BPOPs) and the R-Area Unknowns (RUNKs) operable unit (OU) and to provide for public involvement in the decision-making process.

  15. dataset | OpenEI Community

    Open Energy Info (EERE)

    data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data...

  16. datasets | OpenEI Community

    Open Energy Info (EERE)

    data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data...

  17. ARM: Ceilometer (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 ...

  18. BP-12 Final Models Datasets

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MB, XLS) Tier 2 Module of RAM RAM Tier 2 Pricing Module (4.8 MB, XLS) Tool Kit Files (TPP) ToolKit v4.8.1 BP-12 Final Studies Release 4-Aug-11 (12.5 MB, XLS) Risk Mod Output...

  19. About - OpenEI Datasets

    Open Energy Info (EERE)

    and Netherland government portals, as well as city and municipal sites in the US, UK, Argentina, Finland and elsewhere. CKAN: http:ckan.org CKAN Tour: http:ckan.orgtour...

  20. Contribution of Road Grade to the Energy Use of Modern Automobiles Across Large Datasets of Real-World Drive Cycles: Preprint

    SciTech Connect (OSTI)

    Wood, E.; Burton, E.; Duran, A.; Gonder, J.

    2014-01-01

    Understanding the real-world power demand of modern automobiles is of critical importance to engineers using modeling and simulation to inform the intelligent design of increasingly efficient powertrains. Increased use of global positioning system (GPS) devices has made large scale data collection of vehicle speed (and associated power demand) a reality. While the availability of real-world GPS data has improved the industry's understanding of in-use vehicle power demand, relatively little attention has been paid to the incremental power requirements imposed by road grade. This analysis quantifies the incremental efficiency impacts of real-world road grade by appending high fidelity elevation profiles to GPS speed traces and performing a large simulation study. Employing a large real-world dataset from the National Renewable Energy Laboratory's Transportation Secure Data Center, vehicle powertrain simulations are performed with and without road grade under five vehicle models. Aggregate results of this study suggest that road grade could be responsible for 1% to 3% of fuel use in light-duty automobiles.

  1. Associations of indoor carbon dioxide concentrations and environmental susceptibilities with mucous membrane and lower respiratory building related symptoms in the BASE study: Analyses of the 100 building dataset

    SciTech Connect (OSTI)

    Erdmann, Christine A.; Apte, Michael G.

    2003-09-01

    Using the US EPA 100 office-building BASE Study dataset, they conducted multivariate logistic regression analyses to quantify the relationship between indoor CO{sub 2} concentrations (dCO{sub 2}) and mucous membrane (MM) and lower respiratory system (LResp) building related symptoms, adjusting for age, sex, smoking status, presence of carpet in workspace, thermal exposure, relative humidity, and a marker for entrained automobile exhaust. In addition, they tested the hypothesis that certain environmentally-mediated health conditions (e.g., allergies and asthma) confer increased susceptibility to building related symptoms within office buildings. Adjusted odds ratios (ORs) for statistically significant, dose-dependent associations (p < 0.05) for dry eyes, sore throat, nose/sinus congestion, and wheeze symptoms with 100 ppm increases in dCO{sub 2} ranged from 1.1 to 1.2. These results suggest that increases in the ventilation rates per person among typical office buildings will, on average, reduce the prevalence of several building related symptoms by up to 70%, even when these buildings meet the existing ASHRAE ventilation standards for office buildings. Building occupants with certain environmentally-mediated health conditions are more likely to experience building related symptoms than those without these conditions (statistically significant ORs ranged from 2 to 11).

  2. Constructing a Merged Cloud-Precipitation Radar Dataset for Tropical Convective Clouds during the DYNAMO/AMIE Experiment at Addu Atoll

    SciTech Connect (OSTI)

    Feng, Zhe; McFarlane, Sally A.; Schumacher, Courtney; Ellis, Scott; Comstock, Jennifer M.; Bharadwaj, Nitin

    2014-05-16

    To improve understanding of the convective processes key to the Madden-Julian-Oscillation (MJO) initiation, the Dynamics of the MJO (DYNAMO) and Atmospheric Radiation Measurement MJO Investigation Experiment (AMIE) collected four months of observations from three radars, the S-band Polarization Radar (S-Pol), the C-band Shared Mobile Atmospheric Research & Teaching Radar (SMART-R), and Ka-band Zenith Radar (KAZR) on Addu Atoll in the tropical Indian Ocean. This study compares the measurements from the S-Pol and SMART-R to those from the more sensitive KAZR in order to characterize the hydrometeor detection capabilities of the two scanning precipitation radars. Frequency comparisons for precipitating convective clouds and non-precipitating high clouds agree much better than non-precipitating low clouds for both scanning radars due to issues in ground clutter. On average, SMART-R underestimates convective and high cloud tops by 0.3 to 1.1 km, while S-Pol underestimates cloud tops by less than 0.4 km for these cloud types. S-Pol shows excellent dynamic range in detecting various types of clouds and therefore its data are well suited for characterizing the evolution of the 3D cloud structures, complementing the profiling KAZR measurements. For detecting non-precipitating low clouds and thin cirrus clouds, KAZR remains the most reliable instrument. However, KAZR is attenuated in heavy precipitation and underestimates cloud top height due to rainfall attenuation 4.3% of the time during DYNAMO/AMIE. An empirical method to correct the KAZR cloud top heights is described, and a merged radar dataset is produced to provide improved cloud boundary estimates, microphysics and radiative heating retrievals.

  3. Overview of the HUPO Plasma Proteome Project: Results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database

    SciTech Connect (OSTI)

    Omenn, Gilbert; States, David J.; Adamski, Marcin; Blackwell, Thomas W.; Menon, Rajasree; Hermjakob, Henning; Apweiler, Rolf; Haab, Brian B.; Simpson, Richard; Eddes, James; Kapp, Eugene; Moritz, Rod; Chan, Daniel W.; Rai, Alex J.; Admon, Arie; Aebersold, Ruedi; Eng, Jimmy K.; Hancock, William S.; Hefta, Stanley A.; Meyer, Helmut; Paik, Young-Ki; Yoo, Jong-Shin; Ping, Peipei; Pounds, Joel G.; Adkins, Joshua N.; Qian, Xiaohong; Wang, Rong; Wasinger, Valerie; Wu, Chi Yue; Zhao, Xiaohang; Zeng, Rong; Archakov, Alexander; Tsugita, Akira; Beer, Ilan; Pandey, Akhilesh; Pisano, Michael; Andrews, Philip; Tammen, Harald; Speicher, David W.; Hanash, Samir M.

    2005-08-13

    HUPO initiated the Plasma Proteome Project (PPP) in 2002. Its pilot phase has (1) evaluated advantages and limitations of many depletion, fractionation, and MS technology platforms; (2) compared PPP reference specimens of human serum and EDTA, heparin, and citrate-anticoagulated plasma; and (3) created a publicly-available knowledge base (www.bioinformatics. med.umich.edu/hupo/ppp; www.ebi.ac.uk/pride). Thirty-five participating laboratories in 13 countries submitted datasets. Working groups addressed (a) specimen stability and protein concentrations; (b) protein identifications from 18 MS/MS datasets; (c) independent analyses from raw MS-MS spectra; (d) search engine performance, subproteome analyses, and biological insights; (e) antibody arrays; and (f) direct MS/SELDI analyses. MS-MS datasets had 15 710 different International Protein Index (IPI) protein IDs; our integration algorithm applied to multiple matches of peptide sequences yielded 9504 IPI proteins identified with one or more peptides and 3020 proteins identified with two or more peptides (the Core Dataset). These proteins have been characterized with Gene Ontology, InterPro, Novartis Atlas, OMIM, and immunoassay based concentration determinations. The database permits examination of many other subsets, such as 1274 proteins identified with three or more peptides. Reverse protein to DNA matching identified proteins for 118 previously unidentified ORFs. We recommend use of plasma instead of serum, with EDTA (or citrate) for anticoagulation. To improve resolution, sensitivity and reproducibility of peptide identifications and protein matches, we recommend combinations of depletion, fractionation, and MS/MS technologies, with explicit criteria for evaluation of spectra, use of search algorithms, and integration of homologous protein matches. This Special Issue of PROTEOMICS presents papers integral to the collaborative analysis plus many reports of supplementary work on various aspects of the PPP workplan

  4. Building Component Library | Open Energy Information

    Open Energy Info (EERE)

    Technology characterizations Resource Type: Dataset Website: bcl.nrel.gov Cost: Free OpenEI Keyword(s): buildings, nrel, data, component Language: English Building...

  5. Afghanistan Pakistan High Resolution Wind Resource - Datasets...

    Open Energy Info (EERE)

    Pakistan High Resolution Wind Resource This shapefile containing 50 meter height data has been validated by NREL and wind energy meteorological consultants. However, the data is...

  6. Category:Datasets | Open Energy Information

    Open Energy Info (EERE)

    8 pages are in this category, out of 8 total. B BP Statistical Review of World Energy C Coal Power Plant Database E ENERGY STAR Labeled Buildings and Plants N NSRDB 1961-1990 NSRDB...

  7. Direct Aerosol Forcing Uncertainty (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    comparable to uncertainty arising from some individual properties. less Authors: Mccomiskey, Allison Publication Date: 2008-01-15 OSTI Identifier: 1169526 DOE Contract ...

  8. Nitrogen concentration and isotope dataset for environmental...

    Office of Scientific and Technical Information (OSTI)

    MLA APA Chicago Bibtex Export Metadata Endnote Excel CSV XML Send to Email Send to Email Email address: Content: Close Send Cite: MLA Format Close Cite: APA Format ...

  9. Upload Data - OpenEI Datasets

    Open Energy Info (EERE)

    open data DOE Open Data add to the catalog&3; for DOE-funded data GDR: DOE's Geothermal Data Repository Geothermal Data add a submission to DOE's &3;Geothermal Data Repository...

  10. ARM: Ultrahigh Sensitivity Aerosol Spectrometer (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    Ultrahigh Sensitivity Aerosol Spectrometer Authors: Cynthia Salwen ; Derek Hageman ; Bill Behrens ; Scott Smith ; Janek Uin ; Janek Uin ; Cynthia Salwen ; Annette Koontz ; Annette ...

  11. ARM: Interpolated Sonde (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 ...

  12. ARM: ARMBE: Atmospheric measurements (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 ...

  13. Conductance Steamflow relationship (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    See the following paper for further description: Trainor-Guitton, Hoversten,Nordquist, Intani, Value of information analysis using geothermal field data: accounting for multiple ...

  14. ARM: Ameriflux Measurement Component (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 ...

  15. Finnish Meteorological Institute Doppler Lidar (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    Finnish Meteorological Institute Doppler Lidar Title: Finnish Meteorological Institute Doppler Lidar This doppler lidar system provides co-polar and cross polar attenuated ...

  16. Clock Agreement Among Parallel Supercomputer Nodes (Dataset)...

    Office of Scientific and Technical Information (OSTI)

    current world's most powerful machine for open science, the U.S. Department of Energy's ... Country of Publication: United States Language: English Subject: 97 MATHEMATICS AND ...

  17. Radiative Flux Analysis (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) ... irradiance; Shortwave broadband direct downwelling irradiance; Shortwave ...

  18. ASRC RSS Data (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) ... irradiance; Shortwave spectral direct normal irradiance; Shortwave spectral ...

  19. ISDAC Microphysics (Dataset) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) ... Total cloud water; Indirect and Semi-Direct Aerosol Campaign (ISDAC) Word Cloud More ...

  20. Calibrated Hydrothermal Parameters, Barrow, Alaska, 2013 (Dataset...

    Office of Scientific and Technical Information (OSTI)

    to generate three 1D models of characteristic micro-topographical land-formations, which are capable of simulating present active thaw layer (ALT) from current climate conditions. ...

  1. Index of /datasets/files/41/pub

    Open Energy Info (EERE)

    PUBID82185 22-May-2012 00:11 - DIR PUBID82188 22-May-2012 00:11 - DIR PUBID82189 22-May-2012 00:11 - DIR PUBID82190 22-May-2012 00:11 - DIR PUBID82191...

  2. Colorado thermal spring water geothermometry (public dataset...

    Open Energy Info (EERE)

    chemical geothermometers for Colorado thermal springs. Data citations include Barrett, J. K. and Pearl, R. H. (1976), George, R. D., Curtis, H. A., Lester, O. C., Crook, J. K.,...

  3. Index of /datasets/files/961/pub

    Open Energy Info (EERE)

    ARCHIVE 02-Jul-2013 09:51 - COMMERCIALLOADDATAEPLUSOUTPUT.part1.tar.gz 03-Nov-2013 13:09 386M COMMERCIALLOADDATAEPLUSOUTPUT.part2.tar.gz 03-Nov-2013 13:12 386M ...

  4. Category:Datasets | Open Energy Information

    Open Energy Info (EERE)

    out of 8 total. B BP Statistical Review of World Energy C Coal Power Plant Database E ENERGY STAR Labeled Buildings and Plants N NSRDB 1961-1990 NSRDB 1991-2005 R Renewable...

  5. Template:DatasetValue | Open Energy Information

    Open Energy Info (EERE)

    Contact needs updating Image needs updating Reference needed Missing content Broken link Other Additional Comments Cancel Submit Categories: Experimental Templates Country Profile...

  6. Wind Integration National Dataset (WIND) Toolkit

    Broader source: Energy.gov [DOE]

    For utility companies, grid operators and other stakeholders interested in wind energy integration, collecting large quantities of high quality data on wind energy resources is vitally important....

  7. Associations of indoor carbon dioxide concentrations, VOCS, environmental susceptibilities with mucous membrane and lower respiratory sick building syndrome symptoms in the BASE study: Analyses of the 100 building dataset

    SciTech Connect (OSTI)

    Apte, M.G.; Erdmann, C.A.

    2002-10-01

    Using the 100 office-building Building Assessment Survey and Evaluation (BASE) Study dataset, we performed multivariate logistic regression analyses to quantify the associations between indoor minus outdoor CO{sub 2} (dCO{sub 2}) concentrations and mucous membrane (MM) and lower respiratory system (Lresp) Sick Building Syndrome (SBS) symptoms, adjusting for age, sex, smoking status, presence of carpet in workspace, thermal exposure, relative humidity, and a marker for entrained automobile exhaust. Using principal components analysis we identified a number of possible sources of 73 measured volatile organic compounds in the office buildings, and assessed the impact of these VOCs on the probability of presenting the SBS symptoms. Additionally we included analysis adjusting for the risks for predisposition of having SBS symptoms associated with the allergic, asthmatic, and environmentally sensitive subpopulations within the office buildings. Adjusted odds ratios (ORs) for statistically significant, dose-dependant associations (p<0.05) for dry eyes, sore throat, nose/sinus congestion, and wheeze symptoms with 100-ppm increases in dCO{sub 2} ranged from 1.1 to 1.2. These results suggest that increases in the ventilation rates per person among typical office buildings will, on average significantly reduce the prevalence of several SBS symptoms, up to 80%, even when these buildings meet the existing ASHRAE ventilation standards for office buildings. VOC sources were observed to play an role in direct association with mucous membrane and lower respiratory irritation, and possibly to be indirectly involved in indoor chemical reactions with ozone that produce irritating compounds associated with SBS symptoms. O-xylene, possibly emitted from furniture coatings was associated with shortness of breath (OR at the maximum concentration = 8, p < 0.05). The environmental sensitivities of a large subset of the office building population add to the overall risk of SBS symptoms (ORs

  8. "FERC423",2005,1,195,"Alabama Power Co",3,"Barry","AL","C",,"Coal","BIT",45,"IM","SU","County Unknown",999,"MINA PRIBBENOW",358990,22.722,0.6,6.1,209.8

    U.S. Energy Information Administration (EIA) Indexed Site

    5,1,195,"Alabama Power Co",3,"Barry","AL","C",,"Coal","BIT",45,"IM","SU","County Unknown",999,"MINA PRIBBENOW",358990,22.722,0.6,6.1,209.8 "FERC423",2005,1,195,"Alabama Power Co",3,"Barry","AL","C",,"Coal","BIT",45,"IM","SU","County Unknown",999,"MINA PRIBBENOW",45260,22.926,0.59,5.7,196.8

  9. Solar Resources by Class and Country - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Solar Resources by Class and Country These estimates are derived from the best available solar resource data available to NREL. Resources are organized by class and country....

  10. Property:Plants with Unknown Planned Capacity | Open Energy Informatio...

    Open Energy Info (EERE)

    Colorado Plateau Geothermal Region + 0 + Southern Rockies Geothermal Region + 0 + T Transition Zone Geothermal Region + 1 + W Walker-Lane Transition Zone Geothermal Region + 0 + Y...