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...

    U.S. Department of Energy (DOE) all 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 Information (Open El) [EERE & EIA]

    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. Test (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Test Title: Test Trest Authors: Test Publication Date: 2016-01-20 OSTI Identifier: 1324454 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences

  5. irt (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    irt Title: irt Ingest data for Infrared Thermometer Authors: Shi, Yan Publication Date: 2016-10-18 OSTI Identifier: 1329238 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) Country of Publication: United States Availability: ORNL Language: English

  6. kasacrvpthrc (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    kasacrvpthrc Title: kasacrvpthrc kasacrvpthrc Authors: Bharadwaj, Nitin ; Nelson, Dan Publication Date: 2016-03-28 OSTI Identifier: 1211543 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) Country of Publication: United States Availability: ORNL

  7. Alkatest (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Alkatest Title: Alkatest zhggz Authors: zdgg Publication Date: 2016-10-02 OSTI Identifier: 1327918 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental

  8. NREL: Transmission Grid Integration - Wind Integration Datasets

    U.S. Department of Energy (DOE) all 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 ...

  9. Unknown

    U.S. Department of Energy (DOE) all 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...

  10. Unknown

    U.S. Department of Energy (DOE) all 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...

  11. Unknown

    U.S. Department of Energy (DOE) all 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...

  12. Unknown

    U.S. Department of Energy (DOE) all 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...

  13. Unknown

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    ... loss, just as trans- mitting watts does, and creates voltage drop.) The important considerations when discussing var con- sumption are the cost, transmission, regulation impacts. ...

  14. Unknown

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    ... and otherwise) for this document. . iv Preface This document is intended to promote the knowledge and appropriate use of solar photovoltaic technology for development applications. ...

  15. UNKNOWN

    Office of Legacy Management (LM)

    DEPARTMENT O F ENERGY'S AMCHITKA ISLAND NUCLEAR TEST SlTE Joanna Burger',', Henry J. ... contamination is from underground nuclear test shot cavities containing large ...

  16. UNKNOWN

    Office of Legacy Management (LM)

    Energy; Arnchitka, Alaska; Under- ground nuclear testing; Conflict resolution; Consen- ... no longer needed for nuclear material production or related national security mis- sions. ...

  17. UNKNOWN

    Office of Legacy Management (LM)

    radionuclides from the underground nuclear test sites at Amchitka Island, Alaska, ... May Z O O 0 Abstract Three underground nuclear tests representing approximately 15-16% ...

  18. Unknown

    U.S. Department of Energy (DOE) all 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...

  19. Unknown

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    ... PV power is produced directly by sun- light shining on an array of PV modules, ... A thin, silicon cell, 10 cm across, can produce more than 1 watt (W) of dc electrical ...

  20. 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 ...

  1. Wind Integration National Dataset Toolkit | Grid Modernization...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Wind Integration National Dataset Toolkit The Wind Integration National Dataset (WIND) Toolkit is an update and expansion of the Eastern Integration Data Set and Western Wind ...

  2. 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.

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

  4. 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...

  5. 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: ...

  6. 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 ...

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

    Open Energy Information (Open El) [EERE & EIA]

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

  8. 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 ...

  9. 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 ...

  10. 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 ...

  11. 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 ...

  12. 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 ...

  13. 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 ...

  14. 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.

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

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Search Results Dataset used to improve liquid water absorption models in the microwave Title: Dataset used to improve liquid water absorption models in the microwave ...

  16. 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 ...

  17. 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 ...

  18. 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 ...

  19. Vaisala CL51 ceilometer (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Vaisala CL51 ceilometer Title: Vaisala CL51 ceilometer Vaisala CL51 ceilometer providing attenuated backscatter coefficients and cloud base heights. 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 Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring Org: USDOE Office of Science (SC), Biological and

  20. aoscaps3w (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    aoscaps3w Title: aoscaps3w The 3-wavelength CAPS-PMex Instrument (Cavity Attenuated Phase Shift Extinction Monitor) measures optical extinctions for the following wavelengths: 'Red' - 632 nm; 'Green' - 532 nm; 'Blue' - 450 nm. Authors: Sedlacek, Arthur ; Tilp, Alison Publication Date: 2016-05-31 OSTI Identifier: 1249183 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory

  1. ARM: Portable radiation package (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Portable radiation package Title: ARM: Portable radiation package Portable radiation package Authors: Annette Koontz ; R. Reynolds Publication Date: 2015-01-09 OSTI Identifier: 1181874 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) Country of

  2. 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

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

  4. 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: ...

  5. 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 ...

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

    U.S. Department of Energy (DOE) all 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...

  7. Bayesian methods for characterizing unknown parameters of material models

    DOE PAGES-Beta [OSTI]

    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

  8. A polymer dataset for accelerated property prediction and design (Journal

    Office of Scientific and Technical Information (OSTI)

    Article) | DOE PAGES A polymer dataset for accelerated property prediction and design Title: A polymer dataset for accelerated property prediction and design 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

  9. ARM Airborne Continuous carbon dioxide measurements (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer 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 (ORNL), Oak Ridge, TN (US) Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences ARM; biraud-co2; SGP; AOS-CO2 Dataset File size N/AView Dataset View

  10. ARM Airborne Continuous carbon dioxide measurements (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer 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 (ORNL), Oak Ridge, TN (US) Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences ARM; biraud-co2; SGP; AOS-CO2 Dataset File size N/AView Dataset View

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

    Open Energy Information (Open El) [EERE & EIA]

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

  12. 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

  13. 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

  14. 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.

  15. 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.

  16. 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.

  17. 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 ...

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

    U.S. Department of Energy (DOE) all 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 ...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

  20. 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 ...

  1. 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 ...

  2. 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 ...

  3. 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 ...

  4. 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 ...

  5. Solar Integration National Dataset Toolkit | Grid Modernization | NREL

    U.S. Department of Energy (DOE) all 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 integration studies. It will provide modeled, coherent subhourly solar power data, information, and tools. Subhourly solar power research leverages NREL's extensive experience in solar power analysis, deployment, and integration. The goals of the SIND Toolkit project are to: Create a new national solar database with higher

  6. Discovering a previously unknown mechanism that halts solar eruptions

    U.S. Department of Energy (DOE) all 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

    U.S. Department of Energy (DOE) all 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. 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

  9. 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.

  10. 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.

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

    Office of Scientific and Technical Information (OSTI)

    (Dataset) | Data Explorer 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 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

  12. A polymer dataset for accelerated property prediction and design

    DOE PAGES-Beta [OSTI]

    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

  13. 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.

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

    DOE Data Explorer [Office of Scientific and Technical Information (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

  15. ARM: Aerosol Observing System (AOS): auxiliary data (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer Aerosol Observing System (AOS): auxiliary data Title: ARM: Aerosol Observing System (AOS): auxiliary data Aerosol Observing System (AOS): auxiliary data Authors: Ogren, John ; Jefferson, Anne ; Sheridan, Patrick Publication Date: 1990-01-01 OSTI Identifier: 1025148 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US) Sponsoring Org:

  16. ARM: Baseline Solar Radiation Network (BSRN): solar irradiances (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Baseline Solar Radiation Network (BSRN): solar irradiances Title: ARM: Baseline Solar Radiation Network (BSRN): solar irradiances Baseline Solar Radiation Network (BSRN): solar irradiances Authors: Mary Anderberg ; Ibrahim Reda ; Afshin Andreas ; Mark Kutchenreiter ; Aron Habte ; Mike Dooraghi Publication Date: 1993-07-01 OSTI Identifier: 1025163 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement

  17. ARM: 1290-MHz Radar Wind Profiler, precipitation moments data (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer ARM: 1290-MHz Radar Wind Profiler, precipitation moments data Title: ARM: 1290-MHz Radar Wind Profiler, precipitation moments data 1290-MHz Radar Wind Profiler, precipitation moments data Authors: Timothy Martin ; Paytsar Muradyan ; Richard Coulter Publication Date: 2014-03-05 OSTI Identifier: 1256461 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory

  18. ARM: AOS Dry Nephelometer 1 Minute Averages (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Dry Nephelometer 1 Minute Averages Title: ARM: AOS Dry Nephelometer 1 Minute Averages AOS Dry Nephelometer 1 Minute Averages Authors: Scott Smith ; Cynthia Salwen ; Janek Uin ; Gunnar Senum ; Stephen Springston ; Anne Jefferson Publication Date: 2013-12-11 OSTI Identifier: 1259233 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring

  19. ARM: AOS Humidified Tandem Differential Mobility Analyzer (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer AOS Humidified Tandem Differential Mobility Analyzer Title: ARM: AOS Humidified Tandem Differential Mobility Analyzer AOS Humidified Tandem Differential Mobility Analyzer Authors: Scott Smith ; Cynthia Salwen ; Janek Uin ; Alice Cialella ; Gunnar Senum ; Stephen Springston Publication Date: 2012-11-16 OSTI Identifier: 1095581 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge

  20. ARM: AOS Wet Nephelometer 1 Minute Averages (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Wet Nephelometer 1 Minute Averages Title: ARM: AOS Wet Nephelometer 1 Minute Averages AOS Wet Nephelometer 1 Minute Averages Authors: Scott Smith ; Cynthia Salwen ; Janek Uin ; Gunnar Senum ; Stephen Springston ; Anne Jefferson Publication Date: 2013-12-11 OSTI Identifier: 1259232 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring

  1. ARM: AOS: Cloud Condensation Nuclei Counter (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    AOS: Cloud Condensation Nuclei Counter Title: ARM: AOS: Cloud Condensation Nuclei Counter AOS: Cloud Condensation Nuclei Counter Authors: Scott Smith ; Cynthia Salwen ; Janek Uin ; Gunnar Senum ; Stephen Springston ; Anne Jefferson Publication Date: 2014-01-25 OSTI Identifier: 1256093 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US);

  2. ARM: Auxiliary data for the Total Precipitation Sensor (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer Auxiliary data for the Total Precipitation Sensor Title: ARM: Auxiliary data for the Total Precipitation Sensor Auxiliary data for the Total Precipitation Sensor Authors: Jessica Cherry Publication Date: 2015-01-09 OSTI Identifier: 1150276 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring Org: USDOE Office of Science

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

    Office of Scientific and Technical Information (OSTI)

    Infrared/visible sky imager Title: ARM: Infrared/visible sky imager Infrared/visible sky imager 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 Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) Country of

  4. ARM: Ka ARM Zenith Radar (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Ka ARM Zenith Radar Title: ARM: Ka ARM Zenith Radar Ka ARM Zenith Radar Authors: Joseph Hardin ; Dan Nelson ; Iosif [1] ; Bradley Isom ; Karen Johnson ; Alyssa Matthews ; Nitin Bharadwaj + Show Author Affiliations (Andrei) Lindenmaier Publication Date: 2016-04-01 OSTI Identifier: 1182009 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US);

  5. ARM: Ka ARM Zenith Radar (KAZR): precipitation mode (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer ARM: Ka ARM Zenith Radar (KAZR): precipitation mode Title: ARM: Ka ARM Zenith Radar (KAZR): precipitation mode Ka ARM Zenith Radar (KAZR): precipitation mode Authors: Joseph Hardin ; Dan Nelson ; Iosif [1] ; Bradley Isom ; Karen Johnson ; Alyssa Matthews ; Nitin Bharadwaj + Show Author Affiliations (Andrei) Lindenmaier Publication Date: 2015-04-15 OSTI Identifier: 1213419 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric

  6. ARM: Millimeter Wavelength Cloud Radar (MMCR): monitoring data (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer ARM: Millimeter Wavelength Cloud Radar (MMCR): monitoring data Title: ARM: Millimeter Wavelength Cloud Radar (MMCR): monitoring data Millimeter Wavelength Cloud Radar (MMCR): monitoring data Authors: Karen Johnson ; Nitin Bharadwaj Publication Date: 2015-01-09 OSTI Identifier: 1025231 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak

  7. ARM: Portable Radiation Package: Position and Heading Data (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer Portable Radiation Package: Position and Heading Data Title: ARM: Portable Radiation Package: Position and Heading Data Portable Radiation Package: Position and Heading Data Authors: Annette Koontz ; R. Reynolds Publication Date: 2012-11-03 OSTI Identifier: 1150255 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring

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

    Office of Scientific and Technical Information (OSTI)

    Soil Temperature and Moisture Profiles Title: ARM: Soil Temperature and Moisture Profiles Soil Temperature and Moisture Profiles 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 Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental

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

    Office of Scientific and Technical Information (OSTI)

    Vaisala Automatic Weather Station Title: ARM: Vaisala Automatic Weather Station Vaisala Automatic Weather Station Authors: Donna Holdridge ; Cristina Marinovici ; Jenni Kyrouac Publication Date: 2014-09-08 OSTI Identifier: 1182027 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring Org: USDOE Office of Science (SC), Biological and

  10. Cloud Properties and Radiative Heating Rates for TWP (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer Cloud Properties and Radiative Heating Rates for TWP Title: Cloud Properties and Radiative Heating Rates for TWP A cloud properties and radiative heating rates dataset is presented where cloud properties retrieved using lidar and radar observations are input into a radiative transfer model to compute radiative fluxes and heating rates at three ARM sites located in the Tropical Western Pacific (TWP) region. The cloud properties retrieval is a conditional retrieval that applies

  11. Combined Retrieval, Microphysical Retrievals and Heating Rates (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Combined Retrieval, Microphysical Retrievals and Heating Rates Title: Combined Retrieval, Microphysical Retrievals and Heating Rates Microphysical retrievals and heating rates from the AMIE/Gan deployment using the PNNL Combined Retrieval. Authors: Feng, Zhe Publication Date: 2013-02-22 OSTI Identifier: 1169498 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National

  12. 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.

  13. 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.

  14. 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.

  15. 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.

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

  16. 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 ...

  17. 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, ...

  18. 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.

  19. Recovering complete and draft population genomes from metagenome datasets

    DOE PAGES-Beta [OSTI]

    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

  20. 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.

  1. 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.

  2. 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.

  3. 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

  4. 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

  5. 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.

  6. 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,

  7. 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

  8. DOE Data Explorer now searches individual datasets | OSTI, US Dept of

    Office of Scientific and Technical Information (OSTI)

    Energy Office of Scientific and Technical Information Data Explorer now searches individual datasets Back to the OSTI News Listing for 2012 Now you can find individual datasets via the DOE Data Explorer. When you first enter your search term, the DOE Data Explorer retrieves collection records from the database. Then, from your results page, you can choose to have all the related individual dataset records that have been submitted to OSTI's Energy Citations Database displayed. You can toggle

  9. 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 ...

  10. 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 ...

  11. 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 -

  12. 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

  13. 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

  14. 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 ...

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

    Open Energy Information (Open El) [EERE & EIA]

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

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

    Energy.gov [DOE]

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

  17. 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.

  18. 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...

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

    U.S. Department of Energy (DOE) all 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...

  20. 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.

  1. 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 ...

  2. 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 ...

  3. 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.

  4. 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.

  5. 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.

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

    Energy.gov [DOE]

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

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

    Energy.gov [DOE]

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

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

    Energy.gov [DOE]

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

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

    Energy.gov [DOE]

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

  10. 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

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

    Energy.gov [DOE]

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

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

    Energy.gov [DOE]

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

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

    Energy.gov [DOE]

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

  14. Models Datasets

    U.S. Department of Energy (DOE) all 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...

  15. 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.

  16. OSTI-hosted DOE datasets, tools now in Data.gov | OSTI, US Dept of Energy

    Office of Scientific and Technical Information (OSTI)

    Office of Scientific and Technical Information OSTI-hosted DOE datasets, tools now in Data.gov Back to the OSTI News Listing for 2009 As part of the Administration-wide Open Gov Initiative, Secretary Chu announced that the Department of Energy is contributing various tools and data sets for the National Assets program being undertaken by a group of six departments and agencies across the federal government. The DOE datasets included are hosted by the DOE Office of Scientific and Technical

  17. 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: Kreemer, Corne 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),

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

    U.S. Department of Energy (DOE) all 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:

  19. Datasets - OpenEI Datasets

    Open Energy Information (Open El) [EERE & EIA]

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

  20. Datasets - OpenEI Datasets

    Open Energy Information (Open El) [EERE & EIA]

    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...

  1. Datasets - OpenEI Datasets

    Open Energy Information (Open El) [EERE & EIA]

    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...

  2. 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.

  3. 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.

  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. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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

  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)]

    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.

  11. GIS keyword | OpenEI Community

    Open Energy Information (Open El) [EERE & EIA]

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

    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

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

    Energy.gov [DOE]

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

  14. 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

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

    Energy.gov [DOE]

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

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

    Energy.gov [DOE]

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

  17. 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).

  18. 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.

  19. 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.

  20. 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

  1. 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.

  2. 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).

  3. ARM: GRAMS: data from the total direct diffuse radiometer (TDDR) (Dataset)

    Office of Scientific and Technical Information (OSTI)

    | Data Explorer direct diffuse radiometer (TDDR) Title: ARM: GRAMS: data from the total direct diffuse radiometer (TDDR) GRAMS: data from the total direct diffuse radiometer (TDDR) Authors: Tooman, Tim Publication Date: 1997-10-15 OSTI Identifier: 1025197 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US) Sponsoring Org: USDOE Office of

  4. ARM: GRAMS: data from the total solar broadband radiometer (TBBR) (Dataset)

    Office of Scientific and Technical Information (OSTI)

    | Data Explorer solar broadband radiometer (TBBR) Title: ARM: GRAMS: data from the total solar broadband radiometer (TBBR) GRAMS: data from the total solar broadband radiometer (TBBR) Authors: Tooman, Tim Publication Date: 1997-10-15 OSTI Identifier: 1025196 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US) Sponsoring Org: USDOE Office of

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

    Office of Scientific and Technical Information (OSTI)

    Ka ARM Zenith Radar (KAZR): cirrus mode Title: ARM: Ka ARM Zenith Radar (KAZR): cirrus mode Ka ARM Zenith Radar (KAZR): cirrus mode Authors: Bharadwaj, Nitin ; Widener, Kevin ; Johnson, Karen Publication Date: 2011-01-18 OSTI Identifier: 1025213 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US) Sponsoring Org: USDOE Office of Science (SC),

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

    Office of Scientific and Technical Information (OSTI)

    Plan Position Indicator scan Title: ARM: X-SAPR Plan Position Indicator scan X-SAPR Plan Position Indicator scan Authors: Bharadwaj, Nitin ; Widener, Kevin ; Collis, Scott Publication Date: 2010-12-14 OSTI Identifier: 1025327 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US) Sponsoring Org: USDOE Office of Science (SC), Biological and

  7. ARM: MFR data collected from the underside of an airplane wing (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer MFR data collected from the underside of an airplane wing Title: ARM: MFR data collected from the underside of an airplane wing MFR data collected from the underside of an airplane wing Authors: Gary Hodges Publication Date: 2015-05-07 OSTI Identifier: 1256097 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); Sponsoring

  8. ARM: X-Band Scanning ARM Cloud Radar (XSACR) Zenith Pointing PPI (Dataset)

    Office of Scientific and Technical Information (OSTI)

    | Data Explorer XSACR) Zenith Pointing PPI Title: ARM: X-Band Scanning ARM Cloud Radar (XSACR) Zenith Pointing PPI X-Band Scanning ARM Cloud Radar (XSACR) Zenith Pointing PPI Authors: Widener, Kevin ; Nelson, Dan ; Bharadwaj, Nitin ; Lindenmaier, Iosif [1] ; Johnson, Karen + Show Author Affiliations Andrei Publication Date: 2014-04-14 OSTI Identifier: 1150304 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement

  9. ARM: X-SAPR Range Height Indicator scan (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    SAPR Range Height Indicator scan Title: ARM: X-SAPR Range Height Indicator scan X-SAPR Range Height Indicator scan Authors: Widener, Kevin ; Nelson, Dan ; Bharadwaj, Nitin ; Lindenmaier, Iosif [1] ; Collis, Scott + Show Author Affiliations Andrei Publication Date: 2014-01-22 OSTI Identifier: 1150305 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge,

  10. AmeriFlux US-ARM ARM Southern Great Plains site- Lamont (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer ARM ARM Southern Great Plains site- Lamont Title: AmeriFlux US-ARM ARM Southern Great Plains site- Lamont This is the AmeriFlux version of the carbon flux data for the site US-ARM ARM Southern Great Plains site- Lamont. Site Description - Central facility tower crop field Authors: Torn, Margaret [1] + Show Author Affiliations Lawrence Berkeley National Laboratory Publication Date: 2016-01-01 OSTI Identifier: 1246027 Resource Type: Dataset Data Type: Specialized Mix Research Org:

  11. Lidar - DOE ARM StreamLine Doppler Lidar (Halo) - Raw Data (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer Lidar - DOE ARM StreamLine Doppler Lidar (Halo) - Raw Data Title: Lidar - DOE ARM StreamLine Doppler Lidar (Halo) - Raw Data See attached documentation. Authors: Newsom, Rob Publication Date: 2016-10-25 OSTI Identifier: 1328872 DOE Contract Number: 67025F Resource Type: Dataset Data Type: Specialized Mix Research Org: Atmosphere to Electrons (A2e) Data Archive and Portal, Pacific Northwest National Laboratory; PNNL Sponsoring Org: USDOE Office of Energy Efficiency and Renewable

  12. 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.

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

    DOE PAGES-Beta [OSTI]

    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

  14. 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.

  15. 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.

  16. ARM: X-SAPR Horizon-to-horizon Range-Height Indicator scan (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer Horizon-to-horizon Range-Height Indicator scan Title: ARM: X-SAPR Horizon-to-horizon Range-Height Indicator scan X-SAPR Horizon-to-horizon Range-Height Indicator scan Authors: Bharadwaj, Nitin ; Widener, Kevin ; Collis, Scott Publication Date: 2010-12-17 OSTI Identifier: 1025326 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)

  17. ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1) (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Lamont, OK (ARMBE-ATM SGPC1) Title: ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1) The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data. Authors: McCoy, Renata ; Xie, Shaocheng Publication Date: 2013-12-26 OSTI Identifier: 1111533 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric

  18. ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1) (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Lamont, OK (ARMBE-ATM SGPC1) Title: ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1) The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data. Authors: McCoy, Renata ; Xie, Shaocheng Publication Date: 2013-12-26 OSTI Identifier: 1111538 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric

  19. ARM: X-Band Scanning ARM Cloud Radar (X-SACR) Side-Looking Radar (Dataset)

    Office of Scientific and Technical Information (OSTI)

    | Data Explorer X-SACR) Side-Looking Radar Title: ARM: X-Band Scanning ARM Cloud Radar (X-SACR) Side-Looking Radar X-Band Scanning ARM Cloud Radar (X-SACR) Side-Looking Radar Authors: Dan Nelson ; Joseph Hardin ; Iosif [1] ; Bradley Isom ; Karen Johnson ; Nitin Bharadwaj + Show Author Affiliations (Andrei) Lindenmaier Publication Date: 2014-01-16 OSTI Identifier: 1150300 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation

  20. DataHawk 1 data from COALA Engineering Evaluation (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    DataHawk 1 data from COALA Engineering Evaluation Title: DataHawk 1 data from COALA Engineering Evaluation These are raw (uncorrected) measurements from the DataHawk 1 sensor package. This is a level 0 data product and only minimal quality control measures have been applied. It is likely that substantial further corrections will be required to use these in a physically meaningful way. Please contact the PI if interested in using the dataset. Authors: de Boer, Gijs Publication Date: 2015-10-07

  1. First Tracer Test After Circulation in Desert Peak 27-15 (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Dataset: First Tracer Test After Circulation in Desert Peak 27-15 Citation Details In-Document Search Title: First Tracer Test After Circulation in Desert Peak 27-15 Following the successful stimulation of Desert Peak target EGS well 27-15, a circulation test was initiated by injecting a conservative tracer (1,5-nds) in combination with a reactive tracer (7-amino-1,3-naphthalene disulfonate). The closest production well 74-21 was monitored over the subsequent several months.

  2. 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.

  3. 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.

  4. 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.

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

    Energy.gov [DOE]

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

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

    Energy.gov [DOE]

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

  7. Fact #946: October 10, 2016 Driving Alone in a Private Vehicle is the Most Common Means of Transportation to Work- Dataset

    Office of Energy Efficiency and Renewable Energy (EERE)

    Excel file and dataset for Driving Alone in a Private Vehicle is the Most Common Means of Transportation to Work

  8. 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.

  9. 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.

  10. 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).

  11. 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.

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

    Energy.gov [DOE]

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

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

    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

  14. 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

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

    Energy.gov [DOE]

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

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

    Energy.gov [DOE]

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

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

    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

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

    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

  19. 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

    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

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

    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

  1. 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)

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  3. 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.

  4. 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.

  5. 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.

  6. Comparison of numerical predictions with CO{sub 2} pipeline release datasets of relevance to carbon capture and storage applications

    SciTech Connect (OSTI)

    Wareing, Christopher J.; Fairweather, Michael; Woolley, Robert M.; Falle, S. A. E. G.

    2015-12-31

    Predicting the correct multi-phase fluid flow behaviour during the discharge process in the near-field of sonic CO{sub 2} jets is of particular importance in assessing the risks associated with transport aspects of carbon capture and storage schemes, given the very different hazard profiles of CO{sub 2} in the gaseous and solid states. In this paper, we apply our state-of-the-art mathematical model implemented in an efficient computational method to available data. Compared to previous applications, an improved equation of state is used. We also compare to all the available data, rather than just subsets as previously, and demonstrate both the improved performance of the fluid flow model and the variation between the available datasets. The condensed phase fraction at the vent, puncture or rupture release point is revealed to be of key importance in understanding the near-field dispersion of sonic CO{sub 2}.

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

    Open Energy Information (Open El) [EERE & EIA]

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

  8. 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...

  9. 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.

  10. Models and Datasets

    U.S. Department of Energy (DOE) all 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...

  11. 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.

  12. 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.

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

    DOE PAGES-Beta [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 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

  14. Building Component Library | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

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

  15. 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.

  16. 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

    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

  17. 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

  18. 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.

  19. 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.

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

    U.S. Department of Energy (DOE) all 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.

  1. 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.

  2. 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

    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

  3. 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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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

  4. 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.

  5. 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

  6. 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 ...

  7. Hydrogen Compatibility of Materials - Datasets - OpenEI Datasets

    Open Energy Information (Open El) [EERE & EIA]

    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...

  8. 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 ...

  9. BP-12 Final Models Datasets

    U.S. Department of Energy (DOE) all 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...

  10. dataset | OpenEI Community

    Open Energy Information (Open El) [EERE & EIA]

    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...

  11. datasets | OpenEI Community

    Open Energy Information (Open El) [EERE & EIA]

    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...

  12. About - OpenEI Datasets

    Open Energy Information (Open El) [EERE & EIA]

    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...

  13. 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.

  14. 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).

  15. 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.

  16. 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.

  17. 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

  18. Category:Datasets | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    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...

  19. Proceedings: Fourth Workshop on Mining Scientific Datasets

    SciTech Connect (OSTI)

    Kamath, C

    2001-07-24

    Commercial applications of data mining in areas such as e-commerce, market-basket analysis, text-mining, and web-mining have taken on a central focus in the JCDD community. However, there is a significant amount of innovative data mining work taking place in the context of scientific and engineering applications that is not well represented in the mainstream KDD conferences. For example, scientific data mining techniques are being developed and applied to diverse fields such as remote sensing, physics, chemistry, biology, astronomy, structural mechanics, computational fluid dynamics etc. In these areas, data mining frequently complements and enhances existing analysis methods based on statistics, exploratory data analysis, and domain-specific approaches. On the surface, it may appear that data from one scientific field, say genomics, is very different from another field, such as physics. However, despite their diversity, there is much that is common across the mining of scientific and engineering data. For example, techniques used to identify objects in images are very similar, regardless of whether the images came from a remote sensing application, a physics experiment, an astronomy observation, or a medical study. Further, with data mining being applied to new types of data, such as mesh data from scientific simulations, there is the opportunity to apply and extend data mining to new scientific domains. This one-day workshop brings together data miners analyzing science data and scientists from diverse fields to share their experiences, learn how techniques developed in one field can be applied in another, and better understand some of the newer techniques being developed in the KDD community. This is the fourth workshop on the topic of Mining Scientific Data sets; for information on earlier workshops, see http://www.ahpcrc.org/conferences/. This workshop continues the tradition of addressing challenging problems in a field where the diversity of applications is matched only by the opportunities that await a practitioner.

  20. SCM-Forcing Data (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    SCM-Forcing Data Title: SCM-Forcing Data Single-Column Model (SCM) Forcing Data are derived from the ARM facility observational data using the constrained variational analysis approach (Zhang and Lin 1997 and Zhang et al., 2001). The resulting products include both the large-scale forcing terms and the evaluation fields, which can be used for driving the SCMs and Cloud Resolving Models (CRMs) and validating model simulations. Authors: Xie, Shaocheng ; Tang,Shuaiqi ; Zhang,Yunyan ; Zhang,Minghua

  1. 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 ...

  2. 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 ...

  3. 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 ...

  4. 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 ...

  5. 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 ...

  6. 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 ...

  7. Wind Integration National Dataset (WIND) Toolkit

    Office of Energy Efficiency and Renewable Energy (EERE)

    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....

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

    Open Energy Information (Open El) [EERE & EIA]

    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 ...

  9. 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 ...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

  11. Upload Data - OpenEI Datasets

    Open Energy Information (Open El) [EERE & EIA]

    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...

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

    Open Energy Information (Open El) [EERE & EIA]

    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.,...

  13. 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. ...

  14. 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 ...

  15. 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 ...

  16. 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 ...

  17. kasacrvpthrc.a1 (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    kasacrvpthrc.a1 Title: kasacrvpthrc.a1 The kasacr PCM process executed by the sacr3 binary reads in kasacr.00 data and produces CF/Radial compliant NetCDF files for each of the radar operational scanning modes. This incorporates raw data from the radar, as well as scientifically important base derived parameters that affect interpretation of the data. Authors: Gaustad, Krista ; Hardin, Joseph Publication Date: 2015-07-22 OSTI Identifier: 1224840 DOE Contract Number: DE-AC05-00OR22725 Resource

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

  19. Category:Datasets | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    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...

  20. 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 ...

  1. 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 ...

  2. Template:DatasetValue | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

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

  3. Statistical Analyses for Probabilistic Assessments of the Reactor Pressure Vessel Structural Integrity: Building a Master Curve on an Extract of the 'Euro' Fracture Toughness Dataset, Controlling Statistical Uncertainty for Both Mono-Temperature and multi-temperature tests

    SciTech Connect (OSTI)

    Josse, Florent; Lefebvre, Yannick; Todeschini, Patrick; Turato, Silvia; Meister, Eric

    2006-07-01

    Assessing the structural integrity of a nuclear Reactor Pressure Vessel (RPV) subjected to pressurized-thermal-shock (PTS) transients is extremely important to safety. In addition to conventional deterministic calculations to confirm RPV integrity, Electricite de France (EDF) carries out probabilistic analyses. Probabilistic analyses are interesting because some key variables, albeit conventionally taken at conservative values, can be modeled more accurately through statistical variability. One variable which significantly affects RPV structural integrity assessment is cleavage fracture initiation toughness. The reference fracture toughness method currently in use at EDF is the RCCM and ASME Code lower-bound K{sub IC} based on the indexing parameter RT{sub NDT}. However, in order to quantify the toughness scatter for probabilistic analyses, the master curve method is being analyzed at present. Furthermore, the master curve method is a direct means of evaluating fracture toughness based on K{sub JC} data. In the framework of the master curve investigation undertaken by EDF, this article deals with the following two statistical items: building a master curve from an extract of a fracture toughness dataset (from the European project 'Unified Reference Fracture Toughness Design curves for RPV Steels') and controlling statistical uncertainty for both mono-temperature and multi-temperature tests. Concerning the first point, master curve temperature dependence is empirical in nature. To determine the 'original' master curve, Wallin postulated that a unified description of fracture toughness temperature dependence for ferritic steels is possible, and used a large number of data corresponding to nuclear-grade pressure vessel steels and welds. Our working hypothesis is that some ferritic steels may behave in slightly different ways. Therefore we focused exclusively on the basic french reactor vessel metal of types A508 Class 3 and A 533 grade B Class 1, taking the sampling

  4. 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

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

    Open Energy Information (Open El) [EERE & EIA]

    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....

  6. geospatial data | OpenEI Community

    Open Energy Information (Open El) [EERE & EIA]

    geospatial data Home NickL's picture Submitted by NickL(137) Contributor 25 June, 2012 - 21:45 GIS keyword geospatial data GIS GIS data Explore the geospatial datasets in OpenEI's...

  7. GIS data | OpenEI Community

    Open Energy Information (Open El) [EERE & EIA]

    GIS data Home NickL's picture Submitted by NickL(137) Contributor 25 June, 2012 - 21:45 GIS keyword geospatial data GIS GIS data Explore the geospatial datasets in OpenEI's...

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

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    ... and a "potential magnetic field" like the ones that enclose the rope in the solar corona. Potential magnetic field This potential magnetic field is composed of magnetic ...

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

    Open Energy Information (Open El) [EERE & EIA]

    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...

  10. Methods for characterizing, classifying, and identifying unknowns in samples

    DOE Patents [OSTI]

    Grate, Jay W [West Richland, WA; Wise, Barry M [Manson, WA

    2002-01-01

    Disclosed is a method for taking the data generated from an array of responses from a multichannel instrument, and determining the characteristics of a chemical in the sample without the necessity of calibrating or training the instrument with known samples containing the same chemical. The characteristics determined by the method are then used to classify and identify the chemical in the sample. The method can also be used to quantify the concentration of the chemical in the sample.

  11. Methods for characterizing, classifying, and identifying unknowns in samples

    DOE Patents [OSTI]

    Grate, Jay W.; Wise, Barry M.

    2003-08-12

    Disclosed is a method for taking the data generated from an array of responses from a multichannel instrument, and determining the characteristics of a chemical in the sample without the necessity of calibrating or training the instrument with known samples containing the same chemical. The characteristics determined by the method are then used to classify and identify the chemical in the sample. The method can also be used to quantify the concentration of the chemical in the sample.

  12. Microbes in Thawing Permafrost: The Unknown Variable in the Climate...

    Office of Scientific and Technical Information (OSTI)

    has been continuously frozen for at least 2 years), our understanding of the diversity of microbial life in this extreme habitat is surprisingly limited. Taking into account the...

  13. Microbes in thawing permafrost: the unknown variable in the climate...

    Office of Scientific and Technical Information (OSTI)

    and Biological Problems in Soil Science, Russian Academy of Sciences U.S. Department of Energy, Joint Genome Institute Bob L ORNL Alfred Wegener Institute for Polar and Marine...

  14. Characterization of Black Carbon Mixing State (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    Biomass emissions (ii) contains a series of 1-2 day measurement excursions to the rural area surrounding Bangalore. Authors: Sedlacek, Arthur ; S, Satheesh ; Springston, Stephen ...

  15. SGP and TWP (Manus) Ice Cloud Vertical Velocities (Dataset) ...

    Office of Scientific and Technical Information (OSTI)

    particle terminal fall velocity (Vter) are given at 10s, 20min and 1hr resolution. Retrieved Vair and Vter follow radar notation, so positive values indicate downward motion. ...

  16. Planetary Boundary Layer from AERI and MPL (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Planetary Boundary Layer from AERI and MPL Title: Planetary Boundary Layer from AERI and MPL The distribution and transport of aerosol emitted to the lower troposphere is governed by the height of the planetary boundary layer (PBL), which limits the dilution of pollutants and influences boundary-layer convection. Because radiative heating and cooling of the surface strongly affect the PBL top height, it follows diurnal and seasonal cycles and may vary by hundreds of meters over a 24-hour period.

  17. DOE Launches New Dataset on its Environmental Reviews

    Office of Energy Efficiency and Renewable Energy (EERE)

    Washington, DC - To further transparency and openness in its implementation of the National Environmental Policy Act (NEPA), the Department of Energy (DOE) has created a comprehensive database of...

  18. ARM: Ka ARM Zenith Radar (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Authors: Joseph Hardin ; Dan Nelson ; Iosif 1 ; Bradley Isom ; Karen Johnson ; Alyssa Matthews ; Nitin Bharadwaj + Show Author Affiliations (Andrei) Lindenmaier Publication Date: ...

  19. ARM: Ka ARM Zenith Radar (KAZR): precipitation mode (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Authors: Joseph Hardin ; Dan Nelson ; Iosif 1 ; Bradley Isom ; Karen Johnson ; Alyssa Matthews ; Nitin Bharadwaj + Show Author Affiliations (Andrei) Lindenmaier Publication Date: ...

  20. ARM: Portable Radiation Package: Position and Heading Data (Dataset...

    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 ...

  1. DataHawk 1 data from COALA Engineering Evaluation (Dataset) ...

    Office of Scientific and Technical Information (OSTI)

    These are raw (uncorrected) measurements from the DataHawk 1 sensor package. This is a level 0 data product and only minimal quality control measures have been applied. It is ...

  2. ARM: Belfort Laser Ceilometer (BLC): profiles (Dataset) | Data...

    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 ...

  3. ARM: Station-based Surface Products (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 ...

  4. ARM: AOS: Aethalometer, measures Black Carbon (Dataset) | Data...

    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 ...

  5. OpenEI - Organizations - OpenEI Datasets

    Open Energy Information (Open El) [EERE & EIA]

    (SOX), particulate matter smaller than 2.5m and smaller than... CSV Indonesia Crude Oil Refinery Outlook to 2020 Market Research Background & Res... Description Indonesia...

  6. OpenEI:Projects/Datasets Improvements | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    data' experience) 3.1.1 Fields as Links (rather than strings) 3.1.2 Multiple Fields 3.1.3 Data Upload Links 3.1.4 Remove 'Order' for Multiple Fields 3.2 Specific Recommendations...

  7. SCM Forcing Data Derived from NWP Analyses (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Subject: 54 Environmental Sciences Advective tendency; Atmospheric moisture; Atmospheric pressure; Atmospheric temperature; Horizontal wind; Soil surface temperature; Vertical ...

  8. Nauru Island Effect Detection Data Set (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Nauru ACRF downwelling SW, wind direction, and air temperature data are used, along with ... fraction; Cloud optical depth; Horizontal wind; Longwave broadband downwelling ...

  9. Aerosol Retrievals from ARM SGP MFRSR Data (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Aerosol Retrievals from ARM SGP MFRSR Data Title: Aerosol Retrievals from ARM SGP MFRSR Data The Multi-Filter Rotating Shadowband Radiometer (MFRSR) makes precise simultaneous ...

  10. ARM: Mini Sound Detection and Ranging (SODAR) (Dataset) | Data...

    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 ...

  11. Raman lidar/AERI PBL Height Product (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Raman lidarAERI PBL Height Product Title: Raman lidarAERI PBL Height Product Planetary Boundary Layer (PBL) heights have been computed using potential temperature profiles ...

  12. The ARM Best Estimate 2-dimensional Gridded Surface (Dataset...

    Office of Scientific and Technical Information (OSTI)

    2-dimensional Gridded Surface Title: The ARM Best Estimate 2-dimensional Gridded Surface The ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set merges together ...

  13. ARM: Aerosol Observing System (AOS): auxiliary data (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Aerosol Observing System (AOS): auxiliary data Title: ARM: Aerosol Observing System (AOS): auxiliary data Aerosol Observing System (AOS): auxiliary data Authors: Ogren, John ; ...

  14. Non-Cooperative Facial Recognition Video Dataset Collection Plan

    SciTech Connect (OSTI)

    Kimura, Marcia L.; Erikson, Rebecca L.; Lombardo, Nicholas J.

    2013-08-31

    The Pacific Northwest National Laboratory (PNNL) will produce a non-cooperative (i.e. not posing for the camera) facial recognition video data set for research purposes to evaluate and enhance facial recognition systems technology. The aggregate data set consists of 1) videos capturing PNNL role players and public volunteers in three key operational settings, 2) photographs of the role players for enrolling in an evaluation database, and 3) ground truth data that documents when the role player is within various camera fields of view. PNNL will deliver the aggregate data set to DHS who may then choose to make it available to other government agencies interested in evaluating and enhancing facial recognition systems. The three operational settings that will be the focus of the video collection effort include: 1) unidirectional crowd flow 2) bi-directional crowd flow, and 3) linear and/or serpentine queues.

  15. Integrated: Geospatial Toolkit for Honduras from NREL - Datasets...

    Open Energy Information (Open El) [EERE & EIA]

    and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected...

  16. Merged and corrected 915 MHz Radar Wind Profiler moments (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Merged and corrected 915 MHz Radar Wind Profiler moments Title: Merged and corrected 915 MHz Radar Wind Profiler moments The radar wind profiler (RWP) present at the SGP central ...

  17. ARM: X-SAPR Surveillance scan (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Title: ARM: X-SAPR Surveillance scan X-SAPR Surveillance scan Authors: Widener, Kevin ; Nelson, Dan ; Bharadwaj, Nitin ; Lindenmaier, Iosif 1 ; Collis, Scott + Show Author ...

  18. NREL GIS Data: Bhutan High Resolution Wind Resource - Datasets...

    Open Energy Information (Open El) [EERE & EIA]

    NREL GIS Data: Bhutan High Resolution Wind Resource This shapefile containing 50 meter height data has been validated by NREL and wind energy meteorological consultants. However,...

  19. Energy API and dataset overview | OpenEI Community

    Open Energy Information (Open El) [EERE & EIA]

    2012 - 14:36 cleanweb hackathon resource webinar Today, Ian Kalin, a presidential innovation fellow, and the OpenEI team recorded an "energy resource" overview for developers of...

  20. NREL Residential Buildings Group Partners - Datasets - OpenEI...

    Open Energy Information (Open El) [EERE & EIA]

    NREL Residential Buildings Group Partners This spreadsheet contains a list of all the companies with which NREL's Residential Buildings Group has formed a partnership. The two...

  1. ARM: AOS: Scanning-Mobility Particle Sizer (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory ... MLA APA Chicago Bibtex Export Metadata Endnote Excel CSV XML ...

  2. ARM: AOS: Dual Column Cloud Condensation Nuclei Counter (Dataset...

    Office of Scientific and Technical Information (OSTI)

    AOS: Dual Column Cloud Condensation Nuclei Counter Authors: Derek Hageman ; Bill Behrens ; Scott Smith ; Janek Uin ; Janek Uin ; Cynthia Salwen ; Cynthia Salwen ; Annette Koontz ; ...

  3. Soundings from SGP, June 2014 Sonde Comparison Study (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer Soundings from SGP, June 2014 Sonde Comparison Study Title: Soundings from SGP, June 2014 Sonde Comparison Study In early June 2014, a radiosonde intercomparison trial was undertaken at the SGP Central Facility site with the goal of quantifying the relative performance of the RS92-SGP/MW31 and RS41-SG/MW41 radiosondes/systems. The June time period at SGP represents a springtime mid-latitude convective environment where the extensive remote sensing observations at the SGP site were

  4. The ARM Best Estimate 2-dimensional Gridded Surface (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer 2-dimensional Gridded Surface Title: The ARM Best Estimate 2-dimensional Gridded Surface The ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set merges together key surface measurements at the Southern Great Plains (SGP) sites and interpolates the data to a regular 2D grid to facilitate data application. Data from the original site locations can be found in the ARM Best Estimate Station-based Surface (ARMBESTNS) data set. Authors: Xie,Shaocheng ; Qi, Tang

  5. Raman lidar/AERI PBL Height Product (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    AERI measurements of downwelling radiance are used in a physical retrieval approach (Smith et al. 1999, Feltz et al. 1998) to derive profiles of temperature and water vapor. The ...

  6. Soil Organic Carbon Degradation, Barrow, 2013-2014 (Dataset)...

    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 ...

  7. Index of /datasets/files/39/pub/documentation

    Open Energy Information (Open El) [EERE & EIA]

    11:05 103K NSRDBStationsMetaMeta.doc 18-Apr-2012 11:05 35K NSRDB data dictionary(Solar only).doc 18-Apr-2012 11:05 98K NSRDBusermanual.pdf 18-Apr-2012 11:05 14M...

  8. Nuclear Mass Datasets and Models at nuclearmasses.org

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

    This online repository for nuclear mass information allows nuclear researchers to upload their own mass values, store then, share them with colleagues, and, in turn, visualize and analyze the work of others. The Resources link provides access to published information or tools on other websites. The Contributions page is where users will find software, documents, experimental mass data sets, and theoretical mass models that have been uploaded for sharing with the scientific community.

  9. Development of Regional Wind Resource and Wind Plant Output Datasets...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    ... and National Weather Service Smart Tool Repository, www.mdl.nws.noaa.gov... In fact, the distribution is entirely "plug-and-play;" the files need to be in the proper ...

  10. ARM: AOS: Oxides of Nitrogen Analyzer (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Hygroscopic growth; Inorganic chemical composition; Methane concentration; Nitrogen; Ozone; Ozone Concentration; Particle number concentration; Particle size distribution; Trace ...

  11. ARM: ARM-standard Meteorological Instrumentation, Marine (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Subject: 54 Environmental Sciences Aerosol extinction; Atmospheric moisture; Atmospheric pressure; Atmospheric temperature; Cloud ice particle; Horizontal wind; Longwave broadband ...

  12. ARM: Parsivel2 Laser Disdrometer (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    (BER) Country of Publication: United States Availability: ORNL Language: English Subject: 54 Environmental Sciences Hydrometeor fall velocity; Hydrometeor size; Hydrometeor Size ...

  13. ARM: AOS Humidified Tandem Differential Mobility Analyzer (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Title: ARM: AOS Humidified Tandem Differential Mobility Analyzer AOS Humidified Tandem Differential Mobility Analyzer Authors: Scott Smith ; Cynthia Salwen ; Janek Uin ; Alice ...

  14. ARM: AOS Wet Nephelometer 1 Minute Averages (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    Title: ARM: AOS Wet Nephelometer 1 Minute Averages AOS Wet Nephelometer 1 Minute Averages Authors: Scott Smith ; Cynthia Salwen ; Janek Uin ; Gunnar Senum ; Stephen Springston ; ...

  15. ARM: AOS: Cloud Condensation Nuclei Counter (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    Title: ARM: AOS: Cloud Condensation Nuclei Counter AOS: Cloud Condensation Nuclei Counter Authors: Scott Smith ; Cynthia Salwen ; Janek Uin ; Gunnar Senum ; Stephen Springston ; ...

  16. ARM: AOS Dry Nephelometer 1 Minute Averages (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    Title: ARM: AOS Dry Nephelometer 1 Minute Averages AOS Dry Nephelometer 1 Minute Averages Authors: Scott Smith ; Cynthia Salwen ; Janek Uin ; Gunnar Senum ; Stephen Springston ; ...

  17. ARM: RPH stabilized table control data (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    RPH stabilized table control data Title: ARM: RPH stabilized table control data RPH ... Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) ...

  18. Production and Injection data for NV Binary facilities (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Research Org: DOE Geothermal Data Repository; Idaho National Laboratory (INL), Idaho Falls, ID (United States) Sponsoring Org: USDOE Office of Energy Efficiency and Renewable ...

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

    Office of Scientific and Technical Information (OSTI)

    The final correction fixes a time-lag problem and uses the dry-bias field as input into the algorithm. In addition to dry bias, solar heating is another correction that is ...

  20. Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery...

    Office of Scientific and Technical Information (OSTI)

    access to research data and literature, GIS mapping tools, and collaborative networks. ... (EERE) Country of Publication: United States Language: English Subject: 9 - BIOMASS FUELS

  1. Energy Generation by State and Technology (2009) - Datasets ...

    Open Energy Information (Open El) [EERE & EIA]

    2009, reported in MWh. Also includes facility-level data (directly from EIA Form 923). Data and Resources Energy Generation by Fuel Source and State, 2009XLS Energy Generation by...

  2. Planetary Boundary Layer from AERI and MPL (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Because radiative heating and cooling of the surface strongly affect the PBL top height, ... thus improve model parameterizations and our understanding of boundary-layer processes. ...

  3. Evaluation Product : Micro-ARSCL (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Microscale data product based on the increased temporal resolution of the MMCRs which includes information about the local maxima in each Doppler spectrum, uncertainty estimates ...

  4. Alpha1 LASSO data bundles Lamont, OK (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Alpha1 LASSO data bundles Lamont, OK Title: Alpha1 LASSO data bundles Lamont, OK A data bundle is a unified package consisting of LASSO LES input and output, observations, evaluation diagnostics, and model skill scores. LES input includes model configuration information and forcing data. LES output includes profile statistics and full domain fields of cloud and environmental variables. Model evaluation data consists of LES output and ARM observations co-registered on the same grid and sampling

  5. Characterization of Black Carbon Mixing State (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Characterization of Black Carbon Mixing State Title: Characterization of Black Carbon Mixing State This measurement characterizes the types of BC emissions that result in near-surface BC- containing particles in a region that is dominated by biomass and open pit/stove cooking. Specifically, examine three primary BC emission sources: (i) urban setting (e.g., fossil fuel emissions); and (ii) biomass burning. Source (i) are captured at the Indian Institute of Science (IISc) in Bangalore. Biomass

  6. Cloud Property Retrieval Products for Graciosa Island, Azores (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Cloud Property Retrieval Products for Graciosa Island, Azores Title: Cloud Property Retrieval Products for Graciosa Island, Azores The motivation for developing this product was to use the Dong et al. 1998 method to retrieve cloud microphysical properties, such as cloud droplet effective radius, cloud droplets number concentration, and optical thickness. These retrieved properties have been used to validate the satellite retrieval, and evaluate the climate simulations and

  7. Evaluation Product : Micro-ARSCL (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Evaluation Product : Micro-ARSCL Title: Evaluation Product : Micro-ARSCL Microscale data product based on the increased temporal resolution of the MMCRs which includes information about the local maxima in each Doppler spectrum, uncertainty estimates for the Doppler moments of the primary peak, Doppler moment shape parameters (e.g., skewness and kurtosis), and more accurate identification of radar clutter. Authors: Michael Jensen Publication Date: 2014-07-31 OSTI Identifier: 1225811 DOE Contract

  8. Finnish Meteorological Institute Doppler Lidar (Dataset) | Data Explorer

    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 backscatter coefficients,signal strength, and doppler velocities in the cloud and in the boundary level, including uncertainties for all parameters. Using the doppler beam swinging DBS technique, and Vertical Azimuthal Display (VAD) this system also provides vertical profiles of horizontal winds. Authors: Ewan OConnor

  9. Scalable Computation of Streamlines on Very Large Datasets

    SciTech Connect (OSTI)

    Pugmire, David; Childs, Hank; Garth, Christoph; Ahern, Sean; Weber, Gunther H.

    2009-09-01

    Understanding vector fields resulting from large scientific simulations is an important and often difficult task. Streamlines, curves that are tangential to a vector field at each point, are a powerful visualization method in this context. Application of streamline-based visualization to very large vector field data represents a significant challenge due to the non-local and data-dependent nature of streamline computation, and requires careful balancing of computational demands placed on I/O, memory, communication, and processors. In this paper we review two parallelization approaches based on established parallelization paradigms (static decomposition and on-demand loading) and present a novel hybrid algorithm for computing streamlines. Our algorithm is aimed at good scalability and performance across the widely varying computational characteristics of streamline-based problems. We perform performance and scalability studies of all three algorithms on a number of prototypical application problems and demonstrate that our hybrid scheme is able to perform well in different settings.

  10. Geometric correction and digital elevation extraction using multiple MTI datasets.

    SciTech Connect (OSTI)

    Mercier, Jeffrey Alan; Schowengerdt, Robert A.; Smith, Jody Lynn; Storey, James C.

    2004-08-01

    Digital Elevation Models (DEMs) are traditionally acquired from a stereo pair of aerial photographs sequentially captured by an airborne metric camera. Standard DEM extraction techniques can be naturally extended to satellite imagery, but the particular characteristics of satellite imaging can cause difficulties. The spacecraft ephemeris with respect to the ground site during image collects is the most important factor in the elevation extraction process. When the angle of separation between the stereo images is small, the extraction process typically produces measurements with low accuracy, while a large angle of separation can cause an excessive number of erroneous points in the DEM from occlusion of ground areas. The use of three or more images registered to the same ground area can potentially reduce these problems and improve the accuracy of the extracted DEM. The pointing capability of some sensors, such as the Multispectral Thermal Imager (MTI), allows for multiple collects of the same area from different perspectives. This functionality of MTI makes it a good candidate for the implementation of a DEM extraction algorithm using multiple images for improved accuracy. Evaluation of this capability and development of algorithms to geometrically model the MTI sensor and extract DEMs from multi-look MTI imagery are described in this paper. An RMS elevation error of 6.3-meters is achieved using 11 ground test points, while the MTI band has a 5-meter ground sample distance.

  11. Cloud Properties and Radiative Heating Rates for TWP (Dataset...

    Office of Scientific and Technical Information (OSTI)

    This Combined Remote Sensor Retrieval Algorithm (CombRet) produces vertical profiles of liquid or ice water content (LWC or IWC), droplet effective radius (re), ice crystal ...

  12. Tropical Cloud Properties and Radiative Heating Profiles (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Tropical Cloud Properties and Radiative Heating Profiles Title: Tropical Cloud Properties ... in that it uses the microwave radiometer to scale the radiosonde column water vapor. ...

  13. LA-UR-12-22318

    Office of Scientific and Technical Information (OSTI)

    PAR keyword enhanced New keyword LOC New keyword LOC New keyword DAT Benchmarking (NUSTLGoldhagen collaboration) Atmosphere (primary spectra, soon) ...

  14. Backscattering spectrometry device for identifying unknown elements present in a workpiece

    DOE Patents [OSTI]

    Doyle, Barney L.; Knapp, James A.

    1991-01-01

    A backscattering spectrometry method and device for identifying and quantifying impurities in a workpiece during processing and manufacturing of that workpiece. While the workpiece is implanted with an ion beam, that same ion beam backscatters resulting from collisions with known atoms and with impurities within the workpiece. Those ions backscatter along a predetermined scattering angle and are filtered using a self-supporting filter to stop the ions with a lower energy because they collided with the known atoms of the workpiece of a smaller mass. Those ions which pass through the filter have a greater energy resulting from impact with impurities having a greater mass than the known atoms of the workpiece. A detector counts the number and measures the energy of the ions which pass through the filter. From the energy determination and knowledge of the scattering angle, a mass calculation determines the identity, and from the number and solid angle of the scattering angle, a relative concentration of the impurity is obtained.

  15. Two-color X-rays Give Scientists 3-D View of the Unknown | U...

    Office of Science (SC) [DOE]

    with a pair of precisely tuned X-ray laser pulses of different colors, or photon energies. ... photocathode with a train of two laser pulses separated in time by a few picoseconds. ...

  16. The crossing statistic: dealing with unknown errors in the dispersion of Type Ia supernovae

    SciTech Connect (OSTI)

    Shafieloo, Arman; Clifton, Timothy; Ferreira, Pedro E-mail: tclifton@astro.ox.ac.uk

    2011-08-01

    We propose a new statistic that has been designed to be used in situations where the intrinsic dispersion of a data set is not well known: The Crossing Statistic. This statistic is in general less sensitive than χ{sup 2} to the intrinsic dispersion of the data, and hence allows us to make progress in distinguishing between different models using goodness of fit to the data even when the errors involved are poorly understood. The proposed statistic makes use of the shape and trends of a model's predictions in a quantifiable manner. It is applicable to a variety of circumstances, although we consider it to be especially well suited to the task of distinguishing between different cosmological models using type Ia supernovae. We show that this statistic can easily distinguish between different models in cases where the χ{sup 2} statistic fails. We also show that the last mode of the Crossing Statistic is identical to χ{sup 2}, so that it can be considered as a generalization of χ{sup 2}.

  17. Microbes in Thawing Permafrost: The Unknown Variable in the Climate Change Equation

    SciTech Connect (OSTI)

    Graham, David E; Wallenstein, Matthew D; Vishnivetskaya, T.; Waldrop, Mark P.; Phelps, Tommy Joe; Pfiffner, Susan M.; Onstott, T. C.; Whyte, Lyle; Rivkina, Elizaveta; Gilichinsky, David A; Elias, Dwayne A; Mackelprang, Rachel; Verberkmoes, Nathan C; Hettich, Robert {Bob} L; Wagner, Dirk; Wullschleger, Stan D; Jansson, Janet

    2012-01-01

    Considering that 25% of Earth's terrestrial surface is underlain by permafrost (ground that has been continuously frozen for at least 2 years), our understanding of the diversity of microbial life in this extreme habitat is surprisingly limited. Taking into account the total mass of perennially frozen sediment (up to several hundred meters deep), permafrost contains a huge amount of buried, ancient organic carbon (Tarnocai et al., 2009).

  18. Microbes in thawing permafrost: the unknown variable in the climate change equation

    SciTech Connect (OSTI)

    Graham, David E; Wallenstein, Matthew D; Vishnivetskaya, T.; Waldrop, Mark P.; Phelps, Tommy Joe; Pfiffner, Susan M.; Onstott, T. C.; Whyte, Lyle; Rivkina, Elizaveta; Gilichinsky, David A; Elias, Dwayne A; Mackelprang, Rachel; Verberkmoes, Nathan C; Hettich, Robert {Bob} L; Wagner, Dirk; Wullschleger, Stan D; Jansson, Janet

    2012-01-01

    Considering that 25% of Earth s terrestrial surface is underlain by permafrost (ground that has been continuously frozen for at least 2 years), our understanding of the diversity of microbial life in this extreme habitat is surprisingly limited. Taking into account the total mass of perennially frozen sediment (up to several hundred meters deep), permafrost contains a huge amount of buried, ancient organic carbon (Tarnocai et al., 2009). In addition, permafrost is warming rapidly in response to global climate change (Romanovsky et al., 2010), potentially leading to widespread thaw and a larger, seasonally thawed soil active layer. This concern has prompted the question: will permafrost thawing lead to the release of massive amounts of carbon dioxide (CO2) and methane (CH4) into the atmosphere? This question can only be answered by understanding how the microbes residing in permafrost will respond to thaw, through processes such as respiration, fermentation, methanogenesis and CH4 oxidation (Schuur et al., 2009). Predicting future carbon fluxes is complicated by the diversity of permafrost environments, ranging from high mountains, southern boreal forests, frozen peatlands and Pleistocene ice complexes (yedoma) up to several hundred meters deep, which vary widely in soil composition, soil organic matter (SOM) quality, hydrology and thermal regimes (Figure 1). Permafrost degradation can occur in many forms: thaw can progress downward from seasonally-thawed active layer soils in warming climates or laterally because of changes in surface or groundwater flow paths (Grosse et al., 2011). Permafrost degradation can sometimes lead to dramatic changes in ecosystem structure and function

  19. SGP and TWP (Manus) Ice Cloud Vertical Velocities (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    SGP and TWP (Manus) Ice Cloud Vertical Velocities Title: SGP and TWP (Manus) Ice Cloud Vertical Velocities Daily netcdf-files of ice-cloud dynamics observed at the ARM sites at SGP (Jan1997-Dec2010) and Manus (Jul1999-Dec2010). The files include variables at different time resolution (10s, 20min, 1hr). Profiles of radar reflectivity factor (dbz), Doppler velocity (vel) as well as retrieved vertical air motion (V_air) and reflectivity-weighted particle terminal fall velocity (V_ter) are given at

  20. HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets...

    Office of Scientific and Technical Information (OSTI)

    the scientific user community since they provide multi-dimensional storage and retrieval. ... Subject: 99 GENERAL AND MISCELLANEOUSMATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ...

  1. Soda Lake Well Lithology Data and Geologic Cross-Sections (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Comprehensive catalogue of drill-hole data in spreadsheet, shapefile, and Geosoft database ... area; Well Lithology Data; Drill-hole database; Geologic Cross-Sections; Gravity ...

  2. ARM: X-SAPR Vertical PoinTing scan (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23) Country of Publication: United States Availability: ORNL Language: English ...

  3. ARM: Boundary-layer height data with CEIL (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 ...

  4. ARM: Marine W-band (95 GHz) ARM Cloud Radar (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    Radar Title: ARM: Marine W-band (95 GHz) ARM Cloud Radar Marine W-band (95 GHz) ARM Cloud Radar Authors: Joseph Hardin ; Bradley Isom ; Alyssa Matthews ; Karen Johnson ; Nitin ...

  5. PoroTomo Subtask 6.3 Nodal Seismometers Metadata (Dataset) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Nodal Seismometers Metadata Citation Details In-Document Search Title: PoroTomo Subtask 6.3 Nodal Seismometers Metadata Metadata for the nodal seismometer array deployed at the POROTOMO's Natural Laboratory in Brady Hot Spring, Nevada during the March 2016 testing. Metadata includes location and timing for each instrument as well as file lists of data to be uploaded in a separate submission. Authors: Lesley Parker Publication Date: 2016-03-28 OSTI Identifier: 1261984 Report

  6. In-Situ Microphysics from the RACORO IOP (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Availability: ORNL Language: English Subject: 54 Environmental Sciences Cloud particle size distribution; Cloud droplet size; Cloud extinction; Liquid water content; Radar ...

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

    Office of Scientific and Technical Information (OSTI)

    Maybe you're interested in astrophysics. "Doesn't the Department of Energy focus mainly on natural gas resources or solar power...stuff like that?" you think. "I should probably ...

  8. Suite of Software Objects for Arbitrary Spatial Partitioning of Modeling Dataset

    Energy Science and Technology Software Center (OSTI)

    1997-04-30

    SpatialDataSet is an abstract superclass for a suite of object classes which associate data structures with specific regions (Cells) or points (PCells) in two or three-dimensional space. The data structure carried by these Cells/PCells are arbitrary in layout, but the same layout is used for every Cell/PCell within the SpatialDataSet. The SpatialDataSet objects are used within ANL''s Dynamic Information Architecture System (DIAS) to carry spatially distributed attributes of terrestrial, aquatic, and atmospheric objects in amore » simulation domain. DIAS is a flexible object based software framework for concurrent, multidisciplinary modeling. The SpatialDataSet allows access to the information carried within them without requiring knowledge of the details of the spatial partitioning of the data on the part of the requesting agent. The suite of SpatialDataSet objects can be used within object based software architectures other than DIAS. SpatialDataSet has many subclasses covering different modes of partitioning two or three dimensional space, including various forms of grids, meshes, networks, patchworks, etc.« less

  9. Materials Data on FeS2 (SG:205) by Materials Project (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Materials Project Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving ...

  10. Materials Data on NdMg3 (SG:225) by Materials Project (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Materials Project Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving ...

  11. ARM: Three Meter Tower: video camera (Dataset) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ARM: Three Meter Tower: video camera Citation Details In-Document Search Title: ARM: Three Meter Tower: video camera Three Meter Tower: video camera Authors: Scott Smith ; Martin...

  12. ARM: Three Meter Tower: video camera (Dataset) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Three Meter Tower: video camera Citation Details In-Document Search Title: ARM: Three Meter Tower: video camera Three Meter Tower: video camera Authors: Scott Smith ; Martin...

  13. ARM: Forty Meter Tower: video camera (Dataset) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Forty Meter Tower: video camera Citation Details In-Document Search Title: ARM: Forty Meter Tower: video camera Forty Meter Tower: video camera Authors: Scott Smith ; Martin...

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

    Office of Scientific and Technical Information (OSTI)

    the Department of Energy focus mainly on natural gas resources or solar power...stuff like that?" you think. "I should probably check the NASA homepage for astrophysics data." ...

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

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    ... E. Raschke, H. Cattle, P. Lemke, and W. Rossow, p. 67, World Clim. Res. Programme. Sea Ice and Clim., Bremerhaven, Germany. Schweiger, A. J., and J. R. Key, 1994: Arctic Ocean ...

  16. Soda Lake Well Lithology Data and Geologic Cross-Sections (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Soda Lake Well Lithology Data and Geologic Cross-Sections Title: Soda Lake Well Lithology Data and Geologic Cross-Sections Comprehensive catalogue of drill-hole data in ...

  17. What is your favorite OpenEI dataset? | OpenEI Community

    Open Energy Information (Open El) [EERE & EIA]

    Login to post comments Latest polls Dc Are you willing to reply to a text message once a day with information about your comfort level at your indoor location? Posted: 17 Sep...

  18. ARM: X-SAPR Range Height Indicator scan (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Search Results ARM: X-SAPR Range Height Indicator scan Title: ARM: X-SAPR Range Height Indicator scan X-SAPR Range Height Indicator scan Authors: Widener, Kevin ; ...

  19. Development of Regional Wind Resource and Wind Plant Output Datasets for the Hawaiian Islands

    SciTech Connect (OSTI)

    Manobianco, J.; Alonge, C.; Frank, J.; Brower, M.

    2010-07-01

    In March 2009, AWS Truepower was engaged by the National Renewable Energy Laboratory (NREL) to develop a set of wind resource and plant output data for the Hawaiian Islands. The objective of this project was to expand the methods and techniques employed in the Eastern Wind Integration and Transmission Study (EWITS) to include the state of Hawaii.

  20. Index of /datasets/files/41/pub/PUBID8_3989

    Open Energy Information (Open El) [EERE & EIA]

    Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142255935 Varnish cache server Directory Listing This is a file-level view of...

  1. Index of /datasets/files/41/pub/PUBID8_1234

    Open Energy Information (Open El) [EERE & EIA]

    MaxTech 21-May-2012 23:38 - 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 99456974...

  2. Index of /datasets/files/41/pub/PUBID8_3941

    Open Energy Information (Open El) [EERE & EIA]

    Exist 22-May-2012 01:04 - DIR MaxTech 22-May-2012 01:04 - 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 1006824916 Varnish...

  3. Index of /datasets/files/41/pub/PUBID8_0772

    Open Energy Information (Open El) [EERE & EIA]

    :49 - 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 979859490 Varnish cache server Directory Listing This is a file-level view...

  4. Index of /datasets/files/41/pub/PUBID8_0332

    Open Energy Information (Open El) [EERE & EIA]

    Apr-2012 11:07 - DIR MaxTech 18-Apr-2012 11:07 - 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 979859487 Varnish cache...

  5. Index of /datasets/files/41/pub/PUBID8_3844

    Open Energy Information (Open El) [EERE & EIA]

    :01 - 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 979859543 Varnish cache server Directory Listing This is a file-level view...

  6. Index of /datasets/files/41/pub/PUBID8_2886

    Open Energy Information (Open El) [EERE & EIA]

    :32 - 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 994569761 Varnish cache server Directory Listing This is a file-level view...

  7. Index of /datasets/files/41/pub/PUBID8_0001/Base

    Open Energy Information (Open El) [EERE & EIA]

    Sim1 18-Apr-2012 11:06 - 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 653191374 Varnish cache server Directory Listing This...

  8. Index of /datasets/files/41/pub/PUBID8_4214

    Open Energy Information (Open El) [EERE & EIA]

    - 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 994569787 Varnish cache server Directory Listing This is a file-level view of...

  9. Index of /datasets/files/41/pub/PUBID8_0001/Exist

    Open Energy Information (Open El) [EERE & EIA]

    Size DIR Parent Directory - DIR Sim1 18-Apr-2012 11:06 - 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 653191375 Varnish...

  10. Index of /datasets/files/41/pub/PUBID8_1613

    Open Energy Information (Open El) [EERE & EIA]

    429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 994569752 Varnish cache server Directory Listing This is a file-level view of...

  11. Index of /datasets/files/41/pub/PUBID8_1506

    Open Energy Information (Open El) [EERE & EIA]

    Exist 21-May-2012 23:49 - DIR MaxTech 21-May-2012 23:49 - 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 1006824909 Varnish...

  12. Index of /datasets/files/41/pub/PUBID8_0001/MaxTech

    Open Energy Information (Open El) [EERE & EIA]

    Size DIR Parent Directory - DIR Sim1 18-Apr-2012 11:06 - 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 653191376 Varnish...

  13. A 22-Year Dataset of Surface Longwave Fluxes in the Arctic

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Measurement (ARM) North Slope of Alaska (NSA) site in Barrow, Alaska, and from the ... SHEBA and NSA radarlidar retrievals were compared to cloud conditions derived using the ...

  14. Selling Into the Sun: Price Premium Analysis of a Multi-State Dataset of Solar Homes

    Energy.gov [DOE]

    Homes with solar photovoltaic (PV) systems have multiplied in the United States recently, reaching more than half a million in 2014, in part due to plummeting PV costs and innovative financing options. As PV systems become an increasingly common feature of U.S. homes, the ability to assess the value of these homes appropriately will become increasingly important. At the same time, capturing the value of PV to homes will be important for facilitating a robust residential PV market. Appraisers and real estate agents have made strides toward valuing PV homes, and several limited studies have suggested the presence of PV home premiums; however, gaps remain in understanding these premiums for housing markets nationwide. To fill these gaps, researchers from Lawrence Berkeley National Laboratory (LBNL) and their collaborators from other institutions conducted the most comprehensive PV home premium analysis to date. The study more than doubles the number of PV home sales previously analyzed, examines transactions in eight states, and spans the years 2002–2013. The results impart confidence that PV consistently adds value across a variety of states, housing and PV markets, and home types.

  15. In-Situ Microphysics from the MPACE IOP (Dataset) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Best estimates of the size distributions of supercooled water droplets and ice crystals ... Our best estimates of the bulk microphysical properties such as ice water content (IWC), ...

  16. The ARM Best Estimate Station-based Surface (ARMBESTNS) Data set (Dataset)

    Office of Scientific and Technical Information (OSTI)

    | Data Explorer Station-based Surface (ARMBESTNS) Data set Title: The ARM Best Estimate Station-based Surface (ARMBESTNS) Data set The ARM Best Estimate Station-based Surface (ARMBESTNS) data set merges together key surface measurements from the Southern Great Plains (SGP) sites. It is a twin data product of the ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set. Unlike the 2DGRID data set, the STNS data are reported at the original site locations and show the original

  17. Lidar - DOE ARM StreamLine Doppler Lidar (Halo) - Raw Data (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Sponsoring Org: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W) Country of Publication: United States Language: English ...

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

    Office of Scientific and Technical Information (OSTI)

    W. ; Rutherford ; Luppi, E. ; INFN, Ferrara ; Andreotti, D. ; INFN, Ferrara ; Smith, D. ; SLAC ; Khan, A. ; Brunel U. ; Barrett, M. ; Brunel U. more ; Barlow, R. ; ...

  19. AmeriFlux US-Wi4 Mature red pine (MRP) (Dataset) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Wi4 Mature red pine (MRP) Citation Details In-Document Search Title: AmeriFlux US-Wi4 Mature red pine (MRP) This is the AmeriFlux version of the carbon flux data for the site ...

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

    Office of Scientific and Technical Information (OSTI)

    Resource Relation: Conference: Presented at: Neural Information Processing Systems 2014, Quebec, Canada, Dec 08 - Dec 13, 2014 Research Org: Lawrence Livermore National Laboratory ...

  1. In-Situ Data for Microphysical Retrievals: TC4, 2007 (Dataset...

    Office of Scientific and Technical Information (OSTI)

    This data set is derived from measurements collected in situ by the NASA DC8 during the Tropical Cloud Climate Composition Coupling Experiment (TC4) that was conducted during July ...

  2. Kenya Hourly DNI, GHI and Diffuse Solar Data - Datasets - OpenEI...

    Open Energy Information (Open El) [EERE & EIA]

    Kenya Hourly DNI, GHI and Diffuse Solar Data Abstract Each data file is a set of hourly values of solar radiation (DNI, GHI and diffuse) and meteorological elements for a 1-year...

  3. In-Situ Microphysics from the RACORO IOP (Dataset) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    We highly recommend that anyone wishing to use these files do so in a collaborative endeavor and we welcome queries and opportunities for collaboration. There are caveats ...

  4. Integrating Heterogeneous Healthcare Datasets and Visual Analytics for Disease Bio-surveillance and Dynamics

    SciTech Connect (OSTI)

    Ramanathan, Arvind; Pullum, Laura L; Steed, Chad A; Quinn, Shannon; Chennubhotla, Chakra; Parker, Tara L

    2013-01-01

    n this paper, we present an overview of the big data chal- lenges in disease bio-surveillance and then discuss the use of visual analytics for integrating data and turning it into knowl- edge. We will explore two integration scenarios: (1) combining text and multimedia sources to improve situational awareness and (2) enhancing disease spread model data with real-time bio-surveillance data. Together, the proposed integration methodologies can improve awareness about when, where and how emerging diseases can affect wide geographic regions.

  5. Application of RAD-BCG calculator to Hanford's 300 area shoreline characterization dataset

    SciTech Connect (OSTI)

    Antonio, Ernest J.; Poston, Ted M.; Tiller, Brett L.; Patton, Gene W.

    2003-07-01

    Abstract. In 2001, a multi-agency study was conducted to characterize potential environmental effects from radiological and chemical contaminants on the near-shore environment of the Columbia River at the 300 Area of the U.S. Department of Energy’s Hanford Site. Historically, the 300 Area was the location of nuclear fuel fabrication and was the main location for research and development activities from the 1940s until the late 1980s. During past waste handling practices uranium, copper, and other heavy metals were routed to liquid waste streams and ponds near the Columbia River shoreline. The Washington State Department of Health and the Pacific Northwest National Laboratory’s Surface Environmental Surveillance Project sampled various environmental components including river water, riverbank spring water, sediment, fishes, crustaceans, bivalve mollusks, aquatic insects, riparian vegetation, small mammals, and terrestrial invertebrates for analyses of radiological and chemical constituents. The radiological analysis results for water and sediment were used as initial input into the RAD-BCG Calculator. The RAD-BCG Calculator, a computer program that uses an Excel® spreadsheet and Visual Basic® software, showed that maximum radionuclide concentrations measured in water and sediment were lower than the initial screening criteria for concentrations to produce dose rates at existing or proposed limits. Radionuclide concentrations measured in biota samples were used to calculate site-specific bioaccumulation coefficients (Biv) to test the utility of the RAD-BCG-Calculator’s site-specific screening phase. To further evaluate site-specific effects, the default Relative Biological Effect (RBE) for internal alpha particle emissions was reduced by half and the program’s kinetic/allometric calculation approach was initiated. The subsequent calculations showed the initial RAD-BCG Calculator results to be conservative, which is appropriate for screening purposes.

  6. ARM Carbon Cycle Gases Flasks at SGP Site (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Carbon Cycle Gases Flasks at SGP Site Title: ARM Carbon Cycle Gases Flasks at SGP Site Data from flasks are sampled at the Atmospheric Radiation Measurement Program ARM, Southern ...

  7. ACMEV-SP2 (Single Particle Soot Photometer) (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    ACMEV-SP2 (Single Particle Soot Photometer) Title: ACMEV-SP2 (Single Particle Soot Photometer) The SP2 provides information on the amounts of rBC (refractory black carbon) and of other, non-refractory substances associated with individual rBC containing particles by simultaneously measuring the scattering and incandescence signals of such particles that are directed through the cavity of a 1064 nm Nd:YAG laser. (refractory Black Carbon) rBC mixing ratio (ng/Kg) and number size distribution time

  8. ARM Carbon Cycle Gases Flasks at SGP Site (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Carbon Cycle Gases Flasks at SGP Site Title: ARM Carbon Cycle Gases Flasks at SGP Site Data from flasks are sampled at the Atmospheric Radiation Measurement Program ARM, Southern Great Plains Site and analyzed by the National Oceanic and Atmospheric Administration NOAA, Earth System Research Laboratory ESRL. The SGP site is included in the NOAA Cooperative Global Air Sampling Network. The surface samples are collected from a 60 m tower at the ARM SGP Central Facility, usually once per week in

  9. AmeriFlux US-AR1 ARM USDA UNL OSU Woodward Switchgrass 1 (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer AR1 ARM USDA UNL OSU Woodward Switchgrass 1 Title: AmeriFlux US-AR1 ARM USDA UNL OSU Woodward Switchgrass 1 This is the AmeriFlux version of the carbon flux data for the site US-AR1 ARM USDA UNL OSU Woodward Switchgrass 1. Site Description - The ARM USDA UNL OSU Woodward Switchgrass 1 tower is located on public land owned by the USDA-ARS Southern Plains Range Research Station in Woodward, Oklahoma. The site is on a former native prairie that is in the process of changing to

  10. AmeriFlux US-AR2 ARM USDA UNL OSU Woodward Switchgrass 2 (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer AR2 ARM USDA UNL OSU Woodward Switchgrass 2 Title: AmeriFlux US-AR2 ARM USDA UNL OSU Woodward Switchgrass 2 This is the AmeriFlux version of the carbon flux data for the site US-AR2 ARM USDA UNL OSU Woodward Switchgrass 2. Site Description - The ARM USDA UNL OSU Woodward Switchgrass 2 tower is located on public land owned by the USDA-ARS Southern Plains Range Research Station in Woodward, Oklahoma. The site is on a former wheat field that is in the process of changing to

  11. AmeriFlux US-ARb ARM Southern Great Plains burn site- Lamont (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer ARb ARM Southern Great Plains burn site- Lamont Title: AmeriFlux US-ARb ARM Southern Great Plains burn site- Lamont This is the AmeriFlux version of the carbon flux data for the site US-ARb ARM Southern Great Plains burn site- Lamont. Site Description - The ARM SGP Burn site is located in the native tallgrass prairies of the USDA Grazinglands Research Laboratory near El Reno, OK. One of two adjacent 35 ha plots, the US-ARb plot was burned on 2005/03/08. The second plot, US-ARc,

  12. AmeriFlux US-ARc ARM Southern Great Plains control site- Lamont (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer ARc ARM Southern Great Plains control site- Lamont Title: AmeriFlux US-ARc ARM Southern Great Plains control site- Lamont This is the AmeriFlux version of the carbon flux data for the site US-ARc ARM Southern Great Plains control site- Lamont. Site Description - The ARM SGP Control site is located in the native tallgrass prairies of the USDA Grazinglands Research Laboratory near El Reno, OK. One of two adjacent 35 ha plots with identical towers, measurements at the US-ARc

  13. In-Situ Data for Microphysical Retrievals: TC4, 2007 (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer In-Situ Data for Microphysical Retrievals: TC4, 2007 Title: In-Situ Data for Microphysical Retrievals: TC4, 2007 This data set is derived from measurements collected in situ by the NASA DC8 during the Tropical Cloud Climate Composition Coupling Experiment (TC4) that was conducted during July and August, 2007 (Toon et al., 2010). During this experiment the DC8 was based in San Jose, Costa Rica and sampled clouds in the maritime region of the Eastern Pacific and adjoining continental

  14. In-Situ Microphysics from the RACORO IOP (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    In-Situ Microphysics from the RACORO IOP Title: In-Situ Microphysics from the RACORO IOP These files were generated by Greg McFarquhar and Robert Jackson at the University of Illinois. Please contact mcfarq@atmos.uiuc.edu or rjackso2@atmos.uiuc.edu for more information or for assistance in interpreting the content of these files. We highly recommend that anyone wishing to use these files do so in a collaborative endeavor and we welcome queries and opportunities for collaboration. There are

  15. Merged and corrected 915 MHz Radar Wind Profiler moments (Dataset) | Data

    Office of Scientific and Technical Information (OSTI)

    Explorer Merged and corrected 915 MHz Radar Wind Profiler moments Title: Merged and corrected 915 MHz Radar Wind Profiler moments The radar wind profiler (RWP) present at the SGP central facility operates at 915 MHz and was reconfigured in early 2011, to collect key sets of measurements for precipitation and boundary layer studies. The RWP is configured to run in two main operating modes: a precipitation (PR) mode with frequent vertical observations and a boundary layer (BL) mode that is

  16. Effects of confinement on short-period surface waves: Observations from a new dataset

    SciTech Connect (OSTI)

    Hooper, H.; Bonner, J.; Leidig, M.

    2006-04-15

    The Source Phenomenology Experiment (SPE) was conducted during the summer of 2003 in Arizona. Single-fired chemical shots were detonated and recorded at two locations, including a coal mine in the Black Mesa district of northern Arizona. This article reports on research into the effects of confinement on the generation of short-period, fundamental-mode Rayleigh waves (Rg), using a subset of the SPE data. Results show important differences between the Rg amplitudes of confined and unconfined explosions which must be understood to develop discriminants for mining explosions, which are an important aspect of nuclear test monitoring. Rg energy and frequency content depend on explosive weight and confinement, and unconfined explosions generate up to eight times less energy than equivalent confined explosions. For this reason, unconfined mining explosions cannot be simulated using a Mueller and Murphy (1971) source without including an empirical chemical decoupling factor. Rg chemical decoupling factors for unconfined shots vary from 0.5 to 8.2 at frequencies between 0.5 and 11 Hz. The effects of the bench free face are evident in radiation patterns. Explosions on the topographic bench show increased spectral energies for Rg (by a factor of 1.5) at azimuths behind the bench. This suggests that a discriminant based on the relative azimuthal spectral energies of Rg may be a possibility.

  17. OpenEI: Datasets in the OpenEnergyInfo Data Repository

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

    The Open Energy Information initiative (OpenEI) is a platform to connect the world's energy data. It is a linked open data platform bringing together energy information to provide improved analyses, unique visualizations, and real-time access to data. OpenEI follows guidelines set by the White House Open Government Initiative , which is focused on transparency, collaboration, and participation. OpenEI strives to provide open access to this energy information, with the ultimate goal of spurring creativity and driving innovation in the energy sector.[Copied from the OpenEI Wiki main page]. It features a wiki, a blog, a list of information gateways, and a browsing list of deposited data sets.

  18. In-Situ Microphysics from the MPACE IOP (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    Our best estimates of the bulk microphysical properties such as ice water content (IWC), liquid water content (LWC), effective radius of ice crystals defined following Fu (1996) ...

  19. LandScan 2012 High Resolution Global Population DataSet

    SciTech Connect (OSTI)

    2013-09-17

    The LandScan data set is a worldwide population database compiled on a 30"x20" latitude/longitude grid. Census counts at sub-national level were apportioned to each grid cell based on likelihood coefficients, which are based on land cover, slope, road proximity, high-resolution imagery, and other data sets.

  20. Evaluation of a 5-Year Cloud and Radiative Property Dataset Derived...

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Hampton, Virginia P. Minnis, W. L. Smith, Jr., and L. Nguyen National Aeronautics and ... based only ERBE broadband and GOES-6 SW albedos from October 1986 (Minnis and Smith 1998). ...

  1. Methods for detecting and correcting inaccurate results in inductively coupled plasma-atomic emission spectrometry

    DOE Patents [OSTI]

    Chan, George C. Y.; Hieftje, Gary M.

    2010-08-03

    A method for detecting and correcting inaccurate results in inductively coupled plasma-atomic emission spectrometry (ICP-AES). ICP-AES analysis is performed across a plurality of selected locations in the plasma on an unknown sample, collecting the light intensity at one or more selected wavelengths of one or more sought-for analytes, creating a first dataset. The first dataset is then calibrated with a calibration dataset creating a calibrated first dataset curve. If the calibrated first dataset curve has a variability along the location within the plasma for a selected wavelength, errors are present. Plasma-related errors are then corrected by diluting the unknown sample and performing the same ICP-AES analysis on the diluted unknown sample creating a calibrated second dataset curve (accounting for the dilution) for the one or more sought-for analytes. The cross-over point of the calibrated dataset curves yields the corrected value (free from plasma related errors) for each sought-for analyte.

  2. Nuclear forensic analysis of an unknown uranium ore concentrate sample seized in a criminal investigation in Australia

    DOE PAGES-Beta [OSTI]

    Keegan, Elizabeth; Kristo, Michael J.; Colella, Michael; Robel, Martin; Williams, Ross; Lindvall, Rachel; Eppich, Gary; Roberts, Sarah; Borg, Lars; Gaffney, Amy; et al

    2014-04-13

    In early 2009, a state policing agency raided a clandestine drug laboratory in a suburb of a major city in Australia. While searching the laboratory, they discovered a small glass jar labelled “Gamma Source” and containing a green powder. The powder was radioactive. This paper documents the detailed nuclear forensic analysis undertaken to characterize and identify the material and determine its provenance. Isotopic and impurity content, phase composition, microstructure and other characteristics were measured on the seized sample, and the results were compared with similar material obtained from the suspected source (ore and ore concentrate material). While an extensive rangemore » of parameters were measured, the key ‘nuclear forensic signatures’ used to identify the material were the U isotopic composition, Pb and Sr isotope ratios, and the rare earth element pattern. These measurements, in combination with statistical analysis of the elemental and isotopic content of the material against a database of uranium ore concentrates sourced from mines located worldwide, led to the conclusion that the seized material (a uranium ore concentrate of natural isotopic abundance) most likely originated from Mary Kathleen, a former Australian uranium mine.« less

  3. Nuclear forensic analysis of an unknown uranium ore concentrate sample seized in a criminal investigation in Australia

    SciTech Connect (OSTI)

    Keegan, Elizabeth; Kristo, Michael J.; Colella, Michael; Robel, Martin; Williams, Ross; Lindvall, Rachel; Eppich, Gary; Roberts, Sarah; Borg, Lars; Gaffney, Amy; Plaue, Jonathan; Wong, Henri; Davis, Joel; Loi, Elaine; Reinhard, Mark; Hutcheon, Ian

    2014-04-13

    In early 2009, a state policing agency raided a clandestine drug laboratory in a suburb of a major city in Australia. While searching the laboratory, they discovered a small glass jar labelled “Gamma Source” and containing a green powder. The powder was radioactive. This paper documents the detailed nuclear forensic analysis undertaken to characterize and identify the material and determine its provenance. Isotopic and impurity content, phase composition, microstructure and other characteristics were measured on the seized sample, and the results were compared with similar material obtained from the suspected source (ore and ore concentrate material). While an extensive range of parameters were measured, the key ‘nuclear forensic signatures’ used to identify the material were the U isotopic composition, Pb and Sr isotope ratios, and the rare earth element pattern. These measurements, in combination with statistical analysis of the elemental and isotopic content of the material against a database of uranium ore concentrates sourced from mines located worldwide, led to the conclusion that the seized material (a uranium ore concentrate of natural isotopic abundance) most likely originated from Mary Kathleen, a former Australian uranium mine.

  4. Search | Y-12 National Security Complex

    U.S. Department of Energy (DOE) all webpages (Extended Search)

    Search / Search Search Enter your keywords Search

  5. Replicates, read numbers, and other important experimental design considerations for microbial RNA-seq identified using Bacillus thuringiensis datasets

    DOE PAGES-Beta [OSTI]

    Lu, Tse -Yuan; Mehlhorn, Tonia L; Pelletier, Dale A.; Hauser, Loren John; Brown, Steven D.; Manga, Punita; Klingeman, Dawn Marie; Wilson, Charlotte M.

    2016-05-31

    RNA-seq is being used increasingly for gene expression studies and it is revolutionizing the fields of genomics and transcriptomics. However, the field of RNA-seq analysis is still evolving. Therefore, we specifically designed this study to contain large numbers of reads and four biological replicates per condition so we could alter these parameters and assess their impact on differential expression results. Bacillus thuringiensis strains ATCC10792 and CT43 were grown in two Luria broth medium lots on four dates and transcriptomics data were generated using one lane of sequence output from an Illumina HiSeq2000 instrument for each of the 32 samples, whichmore » were then analyzed using DESeq2. Genome coverages across samples ranged from 87 to 465X with medium lots and culture dates identified as major variation sources. Significantly differentially expressed genes (5% FDR, two-fold change) were detected for cultures grown using different medium lots and between different dates. The highly differentially expressed iron acquisition and metabolism genes, were a likely consequence of differing amounts of iron in the two media lots. Indeed, in this study RNA-seq was a tool for predictive biology since we hypothesized and confirmed the two LB medium lots had different iron contents (~two-fold difference). Furthermore, this study shows that the noise in data can be controlled and minimized with appropriate experimental design and by having the appropriate number of replicates and reads for the system being studied. We outline parameters for an efficient and cost effective microbial transcriptomics study.« less

  6. Materials Data on LaH4C4NO8 (SG:14) by Materials Project (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the ...

  7. Materials Data on Na3H5(CO2)4 (SG:2) by Materials Project (Dataset...

    Office of Scientific and Technical Information (OSTI)

    Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the ...

  8. Real-Time Discovery Services over Large, Heterogeneous and Complex Healthcare Datasets Using Schema-Less, Column-Oriented Methods

    SciTech Connect (OSTI)

    Begoli, Edmon; Dunning, Ted; Charlie, Frasure

    2016-01-01

    We present a service platform for schema-leess exploration of data and discovery of patient-related statistics from healthcare data sets. The architecture of this platform is motivated by the need for fast, schema-less, and flexible approaches to SQL-based exploration and discovery of information embedded in the common, heterogeneously structured healthcare data sets and supporting components (electronic health records, practice management systems, etc.) The motivating use cases described in the paper are clinical trials candidate discovery, and a treatment effectiveness analysis. Following the use cases, we discuss the key features and software architecture of the platform, the underlying core components (Apache Parquet, Drill, the web services server), and the runtime profiles and performance characteristics of the platform. We conclude by showing dramatic speedup with some approaches, and the performance tradeoffs and limitations of others.

  9. Validation of the BERT Point Source Inversion Scheme Using the Joint Urban 2003 Tracer Experiment Dataset - Final Report

    SciTech Connect (OSTI)

    Brambilla, Sara; Brown, Michael J.

    2012-06-18

    A terrorist attack in a U.S. city utilizing biological weapons could have severe consequences. A biological agent could be aerosolized and emitted into the air in the middle of a city, invisibly traveling with the winds, and dosing an unknowing populace. The magnitude of the problem would only be revealed as sick people started arriving several days later at hospitals with symptoms, many already too ill to be saved. A national program has deployed a network of biological agent collectors in U.S. cities to provide early detection of a bio-weapon attack, thereby hastening medical intervention and potentially saving many thousands of lives. In fact, the most effective treatment takes place prior to infection or in its early stages and early warning might reduce the disease progression and, consequently, the possibility of an outbreak. If a biological attack were to occur in a city, one or more collectors may register hits with specific dosages and the city would be alerted that an attack had taken place. This piece of information alone, however, would not be enough to determine how serious the attack was, i.e., how much biological agent was released into the air and where the bio-plume traveled. The first responders and public health communities will want to know what regions were impacted, how many persons might get sick, which people most need medical supplies, and where to clean up. The law enforcement community will want to look for forensic evidence at the release location. The Bio-Agent Event Reconstruction Tool (BERT) has been developed in order to recreate what might have happened during an airborne biological agent attack based on biological agent collector measurements and wind collectors mounted around a city. The tool can be used to estimate possible release areas while eliminating other areas, and can estimate bounds on the amount of material released. The tool can then be used to project forward from the possible source areas to estimate potential hazard zones. Due to a unique source inversion technique - called the upwind collector footprint approach - the tool runs fast and the source regions can be determined in a few minutes. In this report, we provide an overview of the BERT framework, followed by a description of the source inversion technique. The Joint URBAN 2003 field experiment held in Oklahoma City that was used to validate BERT is then described. Subsequent sections describe the metrics used for evaluation, the comparison of the experimental data and BERT output, and under what conditions the BERT tool succeeds and performs poorly. Results are aggregated in different ways (e.g., daytime vs. nighttime releases, 1 vs. 2 vs. 3 hit collectors) to determine if BERT shows any systematic errors. Finally, recommendations are given for how to improve the code and procedures for optimizing performance in operational mode.

  10. Development of Eastern Regional Wind Resource and Wind Plant Output Datasets: March 3, 2008 -- March 31, 2010

    SciTech Connect (OSTI)

    Brower, M.

    2009-12-01

    The objective of this project was to provide wind resource inputs to the Eastern Wind Integration and Transmission Study.

  11. Validation predictions of a 13 m/s cross-wind fire for Fuego and the University of Waterloo dataset.

    SciTech Connect (OSTI)

    Brown, Alexander L.; Evans, Gregory Herbert; Gill, Walter; Jarboe, Daniel T.

    2008-03-01

    Detailed herein are the results of a validation comparison. The experiment involved a 2 meter diameter liquid pool of Jet-A fuel in a 13 m/s crosswind. The scenario included a large cylindrical blocking object just down-stream of the fire. It also included seven smaller calorimeters and extensive instrumentation. The experiments were simulated with Fuego. The model included several conduction regions to model the response of the calorimeters, the floor, and the large cylindrical blocking object. A blind comparison was used to compare the simulation predictions with the experimental data. The more upstream data compared very well with the simulation predictions. The more downstream data did not compare very well with the simulation predictions. Further investigation suggests that features omitted from the original model contributed to the discrepancies. Observations are made with respect to the scenario that are aimed at helping an analyst approach a comparable problem in a way that may help improve the potential for quantitative accuracy.

  12. Combined Near and Far Field High Energy Diffraction Microscopy Dataset for Ti-7Al Tensile Specimen Elastically Loaded In Situ

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

    Turner, Todd J.; Shade, Paul A; Bernier, Joel V.; Li, Shiu Fai; Schuren, Jay C.; Lind, Jonathan F.; Lienert, Ulrich; Kenesei, Peter; Suter, Robert; Blank, Basil; Almer, Jonathan

    2016-01-01

    We present both near-field HEDM data that maps out the grain morphology and intragranular crystallographic orientations and far-field HEDM data that provides the grain centroid, grain average crystallographic orientation, and grain average elastic strain tensor for each grain. Finally, we provide a finite element mesh that can be utilized to simulate deformation in the volume of this Ti-7Al specimen.

  13. Structure Discovery in Large Semantic Graphs Using Extant Ontological Scaling and Descriptive Statistics

    SciTech Connect (OSTI)

    al-Saffar, Sinan; Joslyn, Cliff A.; Chappell, Alan R.

    2011-07-18

    As semantic datasets grow to be very large and divergent, there is a need to identify and exploit their inherent semantic structure for discovery and optimization. Towards that end, we present here a novel methodology to identify the semantic structures inherent in an arbitrary semantic graph dataset. We first present the concept of an extant ontology as a statistical description of the semantic relations present amongst the typed entities modeled in the graph. This serves as a model of the underlying semantic structure to aid in discovery and visualization. We then describe a method of ontological scaling in which the ontology is employed as a hierarchical scaling filter to infer different resolution levels at which the graph structures are to be viewed or analyzed. We illustrate these methods on three large and publicly available semantic datasets containing more than one billion edges each. Keywords-Semantic Web; Visualization; Ontology; Multi-resolution Data Mining;

  14. Land Use and Ecosystems Data from the Carbon Dioxide Information Analysis Center (CDIAC)

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

    CDIAC products are indexed and searchable through a customized interface powered by ORNL's Mercury search engine. Products include numeric data packages, publications, trend data, atlases, models, etc. and can be searched for by subject area, keywords, authors, product numbers, time periods, collection sites, spatial references, etc. Some of the collections may also be included in the CDIAC publication titled Trends Online: A Compendium of Global Change Data. Most data sets, many with numerous data files, are free to download from CDIAC's ftp area. Land Use and Ecosystems information includes Terrestrial Carbon Sequestration Data Sets, data sets from Africa and Asia, the Worldwide Organic Soil Carbon and Nitrogen Dataset, and much more.

  15. ActiveGreenScore | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Website: hackerleague.orghackathonsboston-cleanweb-hackathonhacksactivegree Cost: Free OpenEI Keyword(s): Cleanweb Hackathon, Boston, Community Generated Coordinates:...

  16. Badema | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Website: hackerleague.orghackathonsboston-cleanweb-hackathonhacksdesigning- Cost: Free OpenEI Keyword(s): Cleanweb Hackathon, Boston, Community Generated Coordinates:...

  17. Mapping Arctic plant functional type distributions in the Barrow Environmental Observatory using WorldView-2 and LiDAR datasets

    DOE PAGES-Beta [OSTI]

    Langford, Zachary; Kumar, Jitendra; Hoffman, Forrest; Norby, Richard J.; Wullschleger, Stan; Sloan, Victoria; Iversen, Colleen

    2016-09-06

    Multi-scale modeling of Arctic tundra vegetation requires characterization of the heterogeneous tundra landscape, which includes representation of distinct plant functional types (PFTs). We combined high-resolution multi-spectral remote sensing imagery from the WorldView-2 satellite with light detecting and ranging (LiDAR)-derived digital elevation models (DEM) to characterize the tundra landscape in and around the Barrow Environmental Observatory (BEO), a 3021-hectare research reserve located at the northern edge of the Alaskan Arctic Coastal Plain. Vegetation surveys were conducted during the growing season (June August) of 2012 from 48 1 m 1 m plots in the study region for estimating the percent cover ofmore » PFTs (i.e., sedges, grasses, forbs, shrubs, lichens and mosses). Statistical relationships were developed between spectral and topographic remote sensing characteristics and PFT fractions at the vegetation plots from field surveys. These derived relationships were employed to statistically upscale PFT fractions for our study region of 586 hectares at 0.25-m resolution around the sampling areas within the BEO, which was bounded by the LiDAR footprint. We employed an unsupervised clustering for stratification of this polygonal tundra landscape and used the clusters for segregating the field data for our upscaling algorithm over our study region, which was an inverse distance weighted (IDW) interpolation. We describe two versions of PFT distribution maps upscaled by IDW from WorldView-2 imagery and LiDAR: (1) a version computed from a single image in the middle of the growing season; and (2) a version computed from multiple images through the growing season. This approach allowed us to quantify the value of phenology for improving PFT distribution estimates. We also evaluated the representativeness of the field surveys by measuring the Euclidean distance between every pixel. This guided the ground-truthing campaign in late July of 2014 for addressing uncertainty based on representativeness analysis by selecting 24 1 m 1 m plots that were well and poorly represented. Ground-truthing indicated that including phenology had a better accuracy (R2=0.75, RMSE=9.94) than the single image upscaling (R2=0.63 , RMSE=12.05) predicted from IDW. We also updated our upscaling approach to include the 24 ground-truthing plots, and a second ground-truthing campaign in late August of 2014 indicated a better accuracy for the phenology model (R2=0.61 , RMSE=13.78 ) than only using the original 48 plots for the phenology model (R2=0.23 , RMSE=17.49). After all, we believe that the cluster-based IDW upscaling approach and the representativeness analysis offer new insights for upscaling high-resolution data in fragmented landscapes. This analysis and approach provides PFT maps needed to inform land surface models in Arctic ecosystems.« less

  18. Comprehensive ecosystem model-experiment synthesis using multiple datasets at two temperate forest free-air CO2 enrichment experiments: model performance and compensating biases

    SciTech Connect (OSTI)

    Walker, Anthony P; Hanson, Paul J; DeKauwe, Martin G; Medlyn, Belinda; Zaehle, S; Asao, Shinichi; Dietze, Michael; Hickler, Thomas; Huntinford, Chris; Iversen, Colleen M; Jain, Atul; Lomas, Mark; Luo, Yiqi; McCarthy, Heather R; Parton, William; Prentice, I. Collin; Thornton, Peter E; Wang, Shusen; Wang, Yingping; Warlind, David; Weng, Ensheng; Warren, Jeffrey; Woodward, F. Ian; Oren, Ram; Norby, Richard J

    2014-01-01

    Free Air CO2 Enrichment (FACE) experiments provide a remarkable wealth of data to test the sensitivities of terrestrial ecosystem models (TEMs). In this study, a broad set of 11 TEMs were compared to 22 years of data from two contrasting FACE experiments in temperate forests of the south eastern US the evergreen Duke Forest and the deciduous Oak Ridge forest. We evaluated the models' ability to reproduce observed net primary productivity (NPP), transpiration and Leaf Area index (LAI) in ambient CO2 treatments. Encouragingly, many models simulated annual NPP and transpiration within observed uncertainty. Daily transpiration model errors were often related to errors in leaf area phenology and peak LAI. Our analysis demonstrates that the simulation of LAI often drives the simulation of transpiration and hence there is a need to adopt the most appropriate of hypothesis driven methods to simulate and predict LAI. Of the three competing hypotheses determining peak LAI (1) optimisation to maximise carbon export, (2) increasing SLA with canopy depth and (3) the pipe model the pipe model produced LAI closest to the observations. Modelled phenology was either prescribed or based on broader empirical calibrations to climate. In some cases, simulation accuracy was achieved through compensating biases in component variables. For example, NPP accuracy was sometimes achieved with counter-balancing biases in nitrogen use efficiency and nitrogen uptake. Combined analysis of parallel measurements aides the identification of offsetting biases; without which over-confidence in model abilities to predict ecosystem function may emerge, potentially leading to erroneous predictions of change under future climates.

  19. Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets

    SciTech Connect (OSTI)

    Sheppy, M.; Beach, A.; Pless, S.

    2013-04-01

    Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers -- computers that communicate with the building's various control systems -- to control the building based on tens of thousands of variables and sensor points. These control strategies were designed for the RSF's systems to efficiently support research activities. Many events that affect energy use cannot be reliably predicted, but certain decisions (such as control strategies) must be made ahead of time. NREL researchers modeled the RSF systems to predict how they might perform. They then monitor these systems to understand how they are actually performing and reacting to the dynamic conditions of weather, occupancy, and maintenance.

  20. SU-E-J-257: A PCA Model to Predict Adaptive Changes for Head&neck Patients Based On Extraction of Geometric Features From Daily CBCT Datasets

    SciTech Connect (OSTI)

    Chetvertkov, M; Siddiqui, F; Chetty, I; Kim, J; Kumarasiri, A; Liu, C; Gordon, J

    2015-06-15

    Purpose: Using daily cone beam CTs (CBCTs) to develop principal component analysis (PCA) models of anatomical changes in head and neck (H&N) patients and to assess the possibility of using these prospectively in adaptive radiation therapy (ART). Methods: Planning CT (pCT) images of 4 H&N patients were deformed to model several different systematic changes in patient anatomy during the course of the radiation therapy (RT). A Pinnacle plugin was used to linearly interpolate the systematic change in patient for the 35 fraction RT course and to generate a set of 35 synthetic CBCTs. Each synthetic CBCT represents the systematic change in patient anatomy for each fraction. Deformation vector fields (DVFs) were acquired between the pCT and synthetic CBCTs with random fraction-to-fraction changes were superimposed on the DVFs. A patient-specific PCA model was built using these DVFs containing systematic plus random changes. It was hypothesized that resulting eigenDVFs (EDVFs) with largest eigenvalues represent the major anatomical deformations during the course of treatment. Results: For all 4 patients, the PCA model provided different results depending on the type and size of systematic change in patient’s body. PCA was more successful in capturing the systematic changes early in the treatment course when these were of a larger scale with respect to the random fraction-to-fraction changes in patient’s anatomy. For smaller scale systematic changes, random changes in patient could completely “hide” the systematic change. Conclusion: The leading EDVF from the patientspecific PCA models could tentatively be identified as a major systematic change during treatment if the systematic change is large enough with respect to random fraction-to-fraction changes. Otherwise, leading EDVF could not represent systematic changes reliably. This work is expected to facilitate development of population-based PCA models that can be used to prospectively identify significant anatomical changes early in treatment. This work is supported in part by a grant from Varian Medical Systems, Palo Alto, CA.

  1. Emulation to simulate low resolution atmospheric data

    SciTech Connect (OSTI)

    Hebbur Venkata Subba Rao, Vishwas [ORNL; Archibald, Richard K [ORNL; Evans, Katherine J [ORNL

    2012-08-01

    Climate simulations require significant compute power, they are complex and therefore it is time consuming to simulate them. We have developed an emulator to simulate unknown climate datasets. The emulator uses stochastic collocation and multi-dimensional in- terpolation to simulate the datasets. We have used the emulator to determine various physical quantities such as temperature, short and long wave cloud forcing, zonal winds etc. The emulation gives results which are very close to those obtained by simulations. The emulator was tested on 2 degree atmospheric datasets. The work evaluates the pros and cons of evaluating the mean first and inter- polating and vice versa. To determine the physical quantities, we have assumed them to be a function of time, longitude, latitude and a random parameter. We have looked at parameters that govern high stable clouds, low stable clouds, timescale for convection etc. The emulator is especially useful as it requires negligible compute times when compared to the simulation itself.

  2. The Arabidopsis domain of unknown function 1218 (DUF1218) containing proteins, MODIFYING WALL LIGNIN-1 and 2 (At1g31720/MWL-1 and At4g19370/MWL-2) function redundantly to alter secondary cell wall lignin content

    DOE PAGES-Beta [OSTI]

    Mewalal, Ritesh; Mizrachi, Eshchar; Coetzee, Berdine; Mansfield, Shawn D.; Myburg, Alexander A.; Zabotina, Olga A.

    2016-03-01

    DUF1218 is a land plant-specific innovation and has previously been shown to be associated with cell wall biology, vasculature patterning and abiotic/biotic stress response. The Arabidopsis genome encodes 15 members, two of which (At1g31720 and At4g27435) are preferentially expressed in the secondary cell wall depositing inflorescence stems. To further our understanding of the roles of DUF1218-containing proteins in secondary cell wall biology, we functionally characterized At1g31720 (herein referred to as MODIFYING WALL LIGNIN-1 or MWL-1). Since related gene family members may contribute to functional redundancy, we also characterized At4g19370 (MWL-2), the most closely related gene to MWL-1 in the proteinmore » family. Subcellular localization revealed that both Arabidopsis proteins are targeted to the cell periphery. The single T-DNA knockout lines, mwl-1 and mwl-2, and independent overexpression lines showed no significant differences in plant growth or changes in total lignin content relative to wild-type (WT) control plants. However, the double homozygous mutant, mwl-1/mwl-2, had smaller rosettes with a significant decrease in rosette fresh weight and stem height relative to the WT control at four weeks and six weeks, respectively. Moreover, mwl-1/mwl-2 showed a significant reduction in total lignin content (by ca. 11% relative to WT) and an increase in syringyl/guaiacyl (S/G) monomer ratio relative to the control plants. Lastly, our study has identified two additional members of the DUF1218 family in Arabidopsis as novel contributors to secondary cell wall biology, specifically lignin biosynthesis, and these proteins appear to function redundantly.« less

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  16. Building Dashboard Kiosk | Open Energy Information

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    Interface: Desktop Application, Website Website: olivierch.github.ioopenBarter Cost: Free OpenEI Keyword(s): International Language: English References: openbarter1...

  1. PVDAQ | Open Energy Information

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    Country: United States Web Application Link: social.opower.com Cost: Free OpenEI Keyword(s): Green Button Apps Northern America Coordinates: 38.8911837,...

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  10. Microsoft Word - HSW-EIS-Review-Report-Rev-6.doc

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  14. Policy Analysis System (Polysys) | Open Energy Information

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