National Library of Energy BETA

Sample records for research statistical dataset

  1. User Experience Research and Statistics

    Energy.gov [DOE]

    To improve your website or application, especially for new projects, EERE strongly recommends, but does not require, conducting user experience (UX) research. We only require that you get the...

  2. Techniques in teaching statistics : linking research production and research use.

    SciTech Connect (OSTI)

    Martinez-Moyano, I .; Smith, A.

    2012-01-01

    In the spirit of closing the 'research-practice gap,' the authors extend evidence-based principles to statistics instruction in social science graduate education. The authors employ a Delphi method to survey experienced statistics instructors to identify teaching techniques to overcome the challenges inherent in teaching statistics to students enrolled in practitioner-oriented master's degree programs. Among the teaching techniques identi?ed as essential are using real-life examples, requiring data collection exercises, and emphasizing interpretation rather than results. Building on existing research, preliminary interviews, and the ?ndings from the study, the authors develop a model describing antecedents to the strength of the link between research and practice.

  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. 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

  5. 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 ...

  6. 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

  7. 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

  8. 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

  9. 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

  10. User Experience Research and Statistics for the Web | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    User Experience Research and Statistics for the Web User Experience Research and Statistics for the Web To improve its websites and applications, especially for new projects, the Office of Energy Efficiency and Renewable Energy (EERE) strongly recommends, but does not require, conducting user experience (UX) research. We only require that you get the appropriate Web Governance Team and OMB approvals, and that you protect any Personally Identifiable Information you collect. Web Analytics and

  11. Statistical Sciences

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

    6 Statistical Sciences Applying statistical reasoning and rigor to multidisciplinary scientific investigations Contact Us Group Leader James Gattiker (Acting) Email Deputy Group Leader Geralyn Hemphill (Acting) Email Group Administrator LeeAnn Martinez (505) 667-3308 Email Statistical Sciences Statistical Sciences provides statistical reasoning and rigor to multidisciplinary scientific investigations and development, application, and communication of cutting-edge statistical sciences research.

  12. 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

  13. 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.

  14. 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 ...

  15. 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 ...

  16. 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 ...

  17. 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 ...

  18. 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 ...

  19. ASA conference on radiation and health: Health effects of electric and magnetic fields: Statistical support for research strategies. Final report

    SciTech Connect (OSTI)

    Not Available

    1990-05-01

    This report is a collection of papers documenting presentations made at the VIII ASA (American Statistical Association) Conference on Radiation and Health entitled Health Effects of Electric and Magnetic Fields: Statistical Support for Research Strategies. Individual papers are abstracted and indexed for the database.

  20. VTPI-Transportation Statistics | Open Energy Information

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

    Area: Transportation Resource Type: Dataset Website: www.vtpi.orgtdmtdm80.htm Cost: Free VTPI-Transportation Statistics Screenshot References: VTPI-Transportation Statistics1...

  1. 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

  2. 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

  3. 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.

  4. 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

  5. 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

  6. 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

  7. Mexico City air quality research initiative: An overview and some statistical aspects

    SciTech Connect (OSTI)

    Waller, R.A.; Streit, G.E. ); Guzman, F. )

    1991-01-01

    The Mexican Petroleum Institute (Institute Mexicano del Petroleo, IMP) and Los Alamos National Laboratory (LANL) are in the first year of a three-year jointly funded project to examine the air quality in Mexico City and to provide techniques to evaluate the impact of proposed mitigation options. The technical tasks include modeling and simulation; monitoring and characterization; and strategic evaluation. Extensive measurements of the atmosphere, climate, and meteorology are being made as part of the study. This presentation provides an overview of the total project plan, reports on the current status of the technical tasks, describes the data collection methods, presents examples of the data analysis and graphics, and suggest roles for statistical analysis in this and similar environmental studies. 8 figs., 4 tabs.

  8. 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 ...

  9. 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

  10. 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 ...

  11. 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

  12. 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...

  13. 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 ...

  14. 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 ...

  15. 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 ...

  16. 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 ...

  17. Key World Energy Statistics-2010 | Open Energy Information

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

    World Energy Statistics-2010 AgencyCompany Organization: International Energy Agency Sector: Energy Topics: Market analysis Resource Type: Dataset, Maps Website: www.iea.org...

  18. IRF-World Road Statistics | Open Energy Information

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

    AgencyCompany Organization: International Road Statistics Focus Area: Transportation, Economic Development Resource Type: Dataset Website: www.irfnet.orgstatistics.php Cost:...

  19. AMERICAN STATISTICAL ASSOCIATION

    U.S. Energy Information Administration (EIA) (indexed site)

    Department of Mathematics and Statistics 4 ... 11 MOSHE FEDER Research Triangle Institute International 12 WALTER W. HILL ... He died in December of 2006. 21 In the Journal of ...

  20. Usage Statistics

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

    Usage Statistics Usage Statistics Genepool Cluster Statistics Period: daily weekly monthly quarter yearly 2year Utilization By Group Jobs Pending Last edited: 2013-09-26 18:21:13...

  1. 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...

  2. 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: ...

  3. 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 ...

  4. APS Operational Statistics

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

    Downtime Log Yearly Operation Statistics 2016 Statistics 2015 Statistics 2014 Statistics 2013 Statistics 2012 Statistics 2011 Statistics 2010 Statistics 2009 Statistics 2008...

  5. 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

  6. 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...

  7. Cluster Statistics

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

    Statistics Cluster Statistics Ganglia Ganglia can be used to monitor performance of PDSF nodes... Read More PDSF IO Monitoring This page shows the IO response of the elizas and...

  8. Statistical Association

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

    Kelly named Fellow of the American Statistical Association August 2, 2016 The American Statistical Association (ASA) has honored Elizabeth Kelly of the Lab's Statistical Sciences group with the title of Fellow. The ASA recognized her for providing exemplary statistical leadership of and collaboration on multidisciplinary teams dealing with environmental restoration, weapon quality, and nuclear materials storage to ensure the safety and security of the Nation. She will receive the Fellow award at

  9. 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 ...

  10. 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 ...

  11. 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:

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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);

  18. 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

  19. 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);

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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.

  7. What is the ARM Climate Research Facility: Is Global Warming a Real Bias or a Statistical Anomaly?

    SciTech Connect (OSTI)

    Egami, Takeshi; Sisterson, Douglas L.

    2010-03-10

    The Atmospheric Radiation Measurement (ARM) Climate Research Facility (ACRF) is a U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research national user facility. With multi-laboratory management of distributed facilities worldwide, the ACRF does not fit the mold of a traditional user facility located at a national laboratory. The ACRF provides the world's most comprehensive 24/7 observational capabilities for obtaining atmospheric data specifically for climate change research. Serving nearly 5,000 registered users from 15 federal and state agencies, 375 universities, and 67 countries, the ACRF Data Archive collects and delivers over 5 terabytes of data per month to its users. The ACRF users provide critical information about cloud formation processes, water vapor, and aerosols, and their influence on radiative transfer in the atmosphere. This information is used to improve global climate model predictions of climate change.

  8. 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 ...

  9. 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 ...

  10. SIMPLIFIED PREDICTIVE MODELS FOR CO₂ SEQUESTRATION PERFORMANCE ASSESSMENT RESEARCH TOPICAL REPORT ON TASK #3 STATISTICAL LEARNING BASED MODELS

    SciTech Connect (OSTI)

    Mishra, Srikanta; Schuetter, Jared

    2014-11-01

    We compare two approaches for building a statistical proxy model (metamodel) for CO₂ geologic sequestration from the results of full-physics compositional simulations. The first approach involves a classical Box-Behnken or Augmented Pairs experimental design with a quadratic polynomial response surface. The second approach used a space-filling maxmin Latin Hypercube sampling or maximum entropy design with the choice of five different meta-modeling techniques: quadratic polynomial, kriging with constant and quadratic trend terms, multivariate adaptive regression spline (MARS) and additivity and variance stabilization (AVAS). Simulations results for CO₂ injection into a reservoir-caprock system with 9 design variables (and 97 samples) were used to generate the data for developing the proxy models. The fitted models were validated with using an independent data set and a cross-validation approach for three different performance metrics: total storage efficiency, CO₂ plume radius and average reservoir pressure. The Box-Behnken–quadratic polynomial metamodel performed the best, followed closely by the maximin LHS–kriging metamodel.

  11. COLLABORATIVE RESEARCH:USING ARM OBSERVATIONS & ADVANCED STATISTICAL TECHNIQUES TO EVALUATE CAM3 CLOUDS FOR DEVELOPMENT OF STOCHASTIC CLOUD-RADIATION

    SciTech Connect (OSTI)

    Somerville, Richard

    2013-08-22

    The long-range goal of several past and current projects in our DOE-supported research has been the development of new and improved parameterizations of cloud-radiation effects and related processes, using ARM data, and the implementation and testing of these parameterizations in global models. The main objective of the present project being reported on here has been to develop and apply advanced statistical techniques, including Bayesian posterior estimates, to diagnose and evaluate features of both observed and simulated clouds. The research carried out under this project has been novel in two important ways. The first is that it is a key step in the development of practical stochastic cloud-radiation parameterizations, a new category of parameterizations that offers great promise for overcoming many shortcomings of conventional schemes. The second is that this work has brought powerful new tools to bear on the problem, because it has been a collaboration between a meteorologist with long experience in ARM research (Somerville) and a mathematician who is an expert on a class of advanced statistical techniques that are well-suited for diagnosing model cloud simulations using ARM observations (Shen).

  12. 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 ...

  13. 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 ...

  14. 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 ...

  15. 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 ...

  16. Cluster Statistics

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

    Genepool Memory Heatmaps Usage Statistics UGE Scheduler Cycle Time File storage and I/O Data Management Genepool Training and Tutorials Websites, databases and cluster services Queues and Scheduling Retired Systems Storage & File Systems Application Performance Data & Analytics Job Logs & Statistics Training & Tutorials Software Policies User Surveys NERSC Users Group Help Staff Blogs Request Repository Mailing List Need Help? Out-of-hours Status and Password help Call

  17. ARM - Historical Field Campaign Statistics

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

    Operational Visitors and Accounts Data Archive and Usage (October 1995 - Present) Historical Field Campaign Statistics ARM Climate Research Facility users regularly conduct...

  18. 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

  19. Storage Statistics

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

    Storage Trends and Summaries Storage by Scientific Discipline Troubleshooting I/O Resources for Scientific Applications at NERSC Optimizing I/O performance on the Lustre file system I/O Formats Science Databases Sharing Data Transferring Data Unix Groups at NERSC Unix File Permissions Application Performance Data & Analytics Job Logs & Statistics Training & Tutorials Software Policies User Surveys NERSC Users Group Help Staff Blogs Request Repository Mailing List Home » For Users

  20. UN-Energy Statistics Database | Open Energy Information

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

    PV, Wind Resource Type: Dataset Website: data.un.orgExplorer.aspx?dEDATA Cost: Free Language: English UN-Energy Statistics Database Screenshot References: UN Data1 "The United...

  1. 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...

  2. 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...

  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. 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...

  5. 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: ...

  6. 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 ...

  7. 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.

  8. 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.

  9. 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 ...

  10. 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 ...

  11. 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).

  12. 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.

  13. 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.

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

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

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

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

  15. 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

  16. 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 ...

  17. 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 ...

  18. 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 ...

  19. ISDAC Microphysics (Dataset) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

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

  20. 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

  1. 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.

  2. 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...

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

    Office of Scientific and Technical Information (OSTI)

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

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

    Office of Scientific and Technical Information (OSTI)

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

  5. 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),

  6. 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.

  7. DOE - NNSA/NFO -- FOIA Statistics

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

    Statistics NNSANFO Language Options U.S. DOENNSA - Nevada Field Office FOIA Statistics The FOIA has become a useful tool for researchers, news media, and the general public. In ...

  8. Moore named an American Statistical Society Fellow

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

    Moore named an American Statistical Society Fellow Moore named an American Statistical Society Fellow The ASA inducted Leslie (Lisa) Moore as a Fellow at the 2014 Joint Statistical Meetings. October 8, 2014 Leslie (Lisa) Moore Leslie (Lisa) Moore ASA cited Moore for "seminal and creative research on the design of computer experiments; for statistical collaboration on a wide range of problems of scientific and national importance; and for mentoring statisticians and statistical

  9. 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.

  10. 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

  11. Computer, Computational, and Statistical Sciences

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

    CCS Computer, Computational, and Statistical Sciences Computational physics, computer science, applied mathematics, statistics and the integration of large data streams are central to scientific discovery and innovation. Leadership Division Leader Frank J. Alexander (Acting) Email Deputy Division Leader James Cooley (Acting) Email Earth climate map A single time step from an MPAS (Model for Prediction Across Scales) simulation, showing the temperature of the ocean. Building on research in human

  12. 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 ...

  13. 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...

  14. 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 ...

  15. 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 ...

  16. 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 ...

  17. 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 ...

  18. 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 ...

  19. ARM - Facility Statistics

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

    ARMFacility Statistics 2015 Quarterly Reports First Quarter (PDF) Second Quarter (PDF) Third Quarter (PDF) Fourth Quarter (PDF) Historical Statistics Field Campaigns Operational...

  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. 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

  2. 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

  3. 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),

  4. 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

  5. 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

  6. 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

  7. 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,

  8. 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:

  9. 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

  10. Collaborative Research. Damage and Burst Dynamics in Failure of Complex Geomaterials. A Statistical Physics Approach to Understanding the Complex Emergent Dynamics in Near Mean-Field Geological Materials

    SciTech Connect (OSTI)

    Rundle, John B.; Klein, William

    2015-09-29

    We have carried out research to determine the dynamics of failure in complex geomaterials, specifically focusing on the role of defects, damage and asperities in the catastrophic failure processes (now popularly termed “Black Swan events”). We have examined fracture branching and flow processes using models for invasion percolation, focusing particularly on the dynamics of bursts in the branching process. We have achieved a fundamental understanding of the dynamics of nucleation in complex geomaterials, specifically in the presence of inhomogeneous structures.

  11. 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

  12. 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.

  13. 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.

  14. 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

  15. 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

  16. 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.

  17. 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

  18. Key China Energy Statistics 2011

    SciTech Connect (OSTI)

    Levine, Mark; Fridley, David; Lu, Hongyou; Fino-Chen, Cecilia

    2012-01-15

    The China Energy Group at Lawrence Berkeley National Laboratory (LBNL) was established in 1988. Over the years the Group has gained recognition as an authoritative source of China energy statistics through the publication of its China Energy Databook (CED). In 2008 the Group published the Seventh Edition of the CED (http://china.lbl.gov/research/chinaenergy-databook). This handbook summarizes key statistics from the CED and is expressly modeled on the International Energy Agency’s “Key World Energy Statistics” series of publications. The handbook contains timely, clearly-presented data on the supply, transformation, and consumption of all major energy sources.

  19. Key China Energy Statistics 2012

    SciTech Connect (OSTI)

    Levine, Mark; Fridley, David; Lu, Hongyou; Fino-Chen, Cecilia

    2012-05-01

    The China Energy Group at Lawrence Berkeley National Laboratory (LBNL) was established in 1988. Over the years the Group has gained recognition as an authoritative source of China energy statistics through the publication of its China Energy Databook (CED). The Group has published seven editions to date of the CED (http://china.lbl.gov/research/chinaenergy-databook). This handbook summarizes key statistics from the CED and is expressly modeled on the International Energy Agency’s “Key World Energy Statistics” series of publications. The handbook contains timely, clearly-presented data on the supply, transformation, and consumption of all major energy sources.

  20. ARM - Historical Operational Statistics

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

    Operational Statistics 2016 Quarterly Reports First Quarter (PDF) Second Quarter (PDF) Third Quarter (PDF) Fourth Quarter (PDF) Past Quarterly Reports Historical Statistics Field Campaigns Operational Visitors and Accounts Data Archive and Usage (October 1995 - Present) Historical Operational Statistics The reporting requirements for DOE national user facilities are based on time. These requirements concern the actual hours of operation (ACTUAL) and the established maximum operation or uptime

  1. International Energy Statistics

    U.S. Energy Information Administration (EIA) (indexed site)

    Eia.gov BETA - Data - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum &...

  2. Independent Statistics & Analysis

    U.S. Energy Information Administration (EIA) (indexed site)

    October 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 Quarterly Coal Distribution Report April - June 2014 This report was...

  3. ARM - Historical Visitor Statistics

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

    Operational Visitors and Accounts Data Archive and Usage (October 1995 - Present) Historical Visitor Statistics As a national user facility, ARM is required to report...

  4. 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

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

    SciTech Connect (OSTI)

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

    2015-04-13

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

  6. 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)

  7. 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

  8. 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

  9. 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

  10. Pi in Statistics | GE Global Research

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

    GeothermalV Newest APS Fellow Driving Groundbreaking Sensing Technology in Oil & Gas 1-2-96-v-importance-big-data Illuminating the Importance of Big Data ...

  11. Research

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

    Research Research Isotopes produced at Los Alamos National Laboratory are saving lives, advancing cutting-edge research and keeping the U.S. safe. Research thorium test foil A thorium test foil target for proof-of-concept actinium-225 production In addition to our routine isotope products, the LANL Isotope Program is focused on developing the next suite of isotopes and services to meet the Nation's emerging needs. The LANL Isotope Program's R&D strategy is focused on four main areas (see

  12. Independent Statistics & Analysis

    U.S. Energy Information Administration (EIA) (indexed site)

    Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 Quarterly Coal Report (Abbreviated) April - June 2016 September 2016 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should

  13. AMERICAN STATISTICAL ASSOCIATION

    U.S. Energy Information Administration (EIA) (indexed site)

    AMERICAN STATISTICAL ASSOCIATION + + + + + COMMITTEE ON ENERGY STATISTICS + + + + + FALL MEETING + + + + + FRIDAY OCTOBER 17, 2003 + + + + + The Committee met in Room 8E089 in the Forrestal Building, 1000 Independence Avenue, S.W., Washington, D.C., at 8:30 a.m., Jay Breidt, Chair, presiding. PRESENT F. JAY BREIDT Chair NICOLAS HENGARTNER Vice Chair JOHNNY BLAIR Committee Member MARK BURTON Committee Member JAE EDMONDS Committee Member MOSHE FEDER Committee Member JAMES K. HAMMITT Committee

  14. Independent Statistics & Analysis

    U.S. Energy Information Administration (EIA) (indexed site)

    November 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 Annual Coal Distribution Report 2015 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed

  15. Research

    SciTech Connect (OSTI)

    1999-10-01

    Subjects covered in this section are: (1) PCAST panel promotes energy research cooperation; (2) Letter issued by ANS urges funding balance in FFTF restart consideration and (3) FESAC panel releases report on priorities and balance.

  16. Research

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

    The LANL Isotope Program's R&D strategy is focused on four main areas (see article list below for recent efforts in these areas): Medical Applications are a key focus for research ...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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 ...

  18. 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, ...

  19. Candidate Assembly Statistical Evaluation

    Energy Science and Technology Software Center (OSTI)

    1998-07-15

    The Savannah River Site (SRS) receives aluminum clad spent Material Test Reactor (MTR) fuel from all over the world for storage and eventual reprocessing. There are hundreds of different kinds of MTR fuels and these fuels will continue to be received at SRS for approximately ten more years. SRS''s current criticality evaluation methodology requires the modeling of all MTR fuels utilizing Monte Carlo codes, which is extremely time consuming and resource intensive. Now that amore » significant number of MTR calculations have been conducted it is feasible to consider building statistical models that will provide reasonable estimations of MTR behavior. These statistical models can be incorporated into a standardized model homogenization spreadsheet package to provide analysts with a means of performing routine MTR fuel analyses with a minimal commitment of time and resources. This became the purpose for development of the Candidate Assembly Statistical Evaluation (CASE) program at SRS.« less

  20. 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.

  1. 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

  2. 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.

  3. Statistically significant relational data mining :

    SciTech Connect (OSTI)

    Berry, Jonathan W.; Leung, Vitus Joseph; Phillips, Cynthia Ann; Pinar, Ali; Robinson, David Gerald; Berger-Wolf, Tanya; Bhowmick, Sanjukta; Casleton, Emily; Kaiser, Mark; Nordman, Daniel J.; Wilson, Alyson G.

    2014-02-01

    This report summarizes the work performed under the project (3z(BStatitically significant relational data mining.(3y (BThe goal of the project was to add more statistical rigor to the fairly ad hoc area of data mining on graphs. Our goal was to develop better algorithms and better ways to evaluate algorithm quality. We concetrated on algorithms for community detection, approximate pattern matching, and graph similarity measures. Approximate pattern matching involves finding an instance of a relatively small pattern, expressed with tolerance, in a large graph of data observed with uncertainty. This report gathers the abstracts and references for the eight refereed publications that have appeared as part of this work. We then archive three pieces of research that have not yet been published. The first is theoretical and experimental evidence that a popular statistical measure for comparison of community assignments favors over-resolved communities over approximations to a ground truth. The second are statistically motivated methods for measuring the quality of an approximate match of a small pattern in a large graph. The third is a new probabilistic random graph model. Statisticians favor these models for graph analysis. The new local structure graph model overcomes some of the issues with popular models such as exponential random graph models and latent variable models.

  4. ORISE: Statistical Analyses of Worker Health

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

    Statistical Analyses Statistical analyses at the Oak Ridge Institute for Science and Education (ORISE) support ongoing programs involving medical surveillance of workers and other populations, as well as occupational epidemiology and research. ORISE emphasizes insightful and accurate analysis, practical interpretation of results and clear, easily read reports. All analyses are preceded by extensive data scrubbing and verification. ORISE's approach relies on applying appropriate methods of

  5. Research

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

    Research CORE-SHELL NANOPARTICLES AND NANOSTRUCTURED MESOPOROUS MATERIALS(NMMs) Nanomaterials need no special introduction as interest in them sparked exponential growth in the past couple of decades, not only in scientific laboratories but also in industries around the world. In addition to size and shape effects, newer designs of nanostructures have also begun gaining prominence providing a new opportunity to tailor the properties of nanomaterials and investigate their fundamental behavior as

  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. 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

  8. Experimental Mathematics and Computational Statistics

    SciTech Connect (OSTI)

    Bailey, David H.; Borwein, Jonathan M.

    2009-04-30

    The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of 'experimental mathematics'. These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.

  9. 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 ...

  10. 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 ...

  11. 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 ...

  12. 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 ...

  13. 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...

  14. 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 ...

  15. 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 ...

  16. 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) ...

  17. 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 ...

  18. 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

  19. International petroleum statistics report

    SciTech Connect (OSTI)

    1995-10-01

    The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report presents data on international oil production, demand, imports, exports and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). Section 2 presents an oil supply/demand balance for the world, in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries.

  20. [USA] highway statistics, 1997

    SciTech Connect (OSTI)

    1999-11-01

    This is an annual report containing analyzed statistical data on motor fuel; motor vehicles, driver licensing, highway-user taxation; state highway finance; highway mileage; federal aid for highways; highway finance data for municipalities; counties; townships, and other units of local government; select tables/charts from the 1995 Nationwide Personal transportation Survey; and international data. This report has been published since 1945. These and other State-by-State tabulations are all available in electronic form on the Internet at http:///www.fhwa. dot.gov/pubstats.html. The data tables can be viewed in PDF and downloaded as in spreadsheet format.

  1. Topology for statistical modeling of petascale data.

    SciTech Connect (OSTI)

    Pascucci, Valerio; Mascarenhas, Ajith Arthur; Rusek, Korben; Bennett, Janine Camille; Levine, Joshua; Pebay, Philippe Pierre; Gyulassy, Attila; Thompson, David C.; Rojas, Joseph Maurice

    2011-07-01

    This document presents current technical progress and dissemination of results for the Mathematics for Analysis of Petascale Data (MAPD) project titled 'Topology for Statistical Modeling of Petascale Data', funded by the Office of Science Advanced Scientific Computing Research (ASCR) Applied Math program. Many commonly used algorithms for mathematical analysis do not scale well enough to accommodate the size or complexity of petascale data produced by computational simulations. The primary goal of this project is thus to develop new mathematical tools that address both the petascale size and uncertain nature of current data. At a high level, our approach is based on the complementary techniques of combinatorial topology and statistical modeling. In particular, we use combinatorial topology to filter out spurious data that would otherwise skew statistical modeling techniques, and we employ advanced algorithms from algebraic statistics to efficiently find globally optimal fits to statistical models. This document summarizes the technical advances we have made to date that were made possible in whole or in part by MAPD funding. These technical contributions can be divided loosely into three categories: (1) advances in the field of combinatorial topology, (2) advances in statistical modeling, and (3) new integrated topological and statistical methods.

  2. International petroleum statistics report

    SciTech Connect (OSTI)

    1997-05-01

    The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. Publication of this report is in keeping with responsibilities given the Energy Information Administration in Public Law 95-91. The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.

  3. Research Highlight

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

    Continuous Dataset of Water Vapor Measurements Throws Water on Assumptions of Cirrus Cloud Formation Submitter: Comstock, J. M., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Comstock, J. M., T. P. Ackerman, and D. D. Turner, 2004: Evidence of high ice supersaturation in cirrus clouds using ARM Raman lidar measurements. Geophys. Res. Letters, doi:10.1029/2004GL019705. To illustrate their

  4. 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

  5. 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

  6. 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 -

  7. 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

  8. 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

  9. 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 ...

  10. 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)...

  11. Topology for Statistical Modeling of Petascale Data

    SciTech Connect (OSTI)

    Bennett, Janine Camille; Pebay, Philippe Pierre; Pascucci, Valerio; Levine, Joshua; Gyulassy, Attila; Rojas, Maurice

    2014-07-01

    This document presents current technical progress and dissemination of results for the Mathematics for Analysis of Petascale Data (MAPD) project titled "Topology for Statistical Modeling of Petascale Data", funded by the Office of Science Advanced Scientific Computing Research (ASCR) Applied Math program.

  12. Statistical physics ""Beyond equilibrium

    SciTech Connect (OSTI)

    Ecke, Robert E

    2009-01-01

    The scientific challenges of the 21st century will increasingly involve competing interactions, geometric frustration, spatial and temporal intrinsic inhomogeneity, nanoscale structures, and interactions spanning many scales. We will focus on a broad class of emerging problems that will require new tools in non-equilibrium statistical physics and that will find application in new material functionality, in predicting complex spatial dynamics, and in understanding novel states of matter. Our work will encompass materials under extreme conditions involving elastic/plastic deformation, competing interactions, intrinsic inhomogeneity, frustration in condensed matter systems, scaling phenomena in disordered materials from glasses to granular matter, quantum chemistry applied to nano-scale materials, soft-matter materials, and spatio-temporal properties of both ordinary and complex fluids.

  13. 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

  14. statistics | OpenEI Community

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

    statistics Home Rmckeel's picture Submitted by Rmckeel(297) Contributor 8 November, 2012 - 12:58 OpenEI dashboard Google Analytics mediawiki OpenEI statistics wiki OpenEI web...

  15. 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.

  16. International petroleum statistics report

    SciTech Connect (OSTI)

    1996-05-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1084 through 1994.

  17. International petroleum statistics report

    SciTech Connect (OSTI)

    1995-11-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.

  18. International petroleum statistics report

    SciTech Connect (OSTI)

    1995-07-27

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.

  19. International petroleum statistics report

    SciTech Connect (OSTI)

    1996-10-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. Word oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.

  20. International petroleum statistics report

    SciTech Connect (OSTI)

    1997-07-01

    The International Petroleum Statistics Report is a monthly publication that provides current international data. The report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent 12 months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996.

  1. Research Highlight

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

    Field Campaign Resource Allocation Using Statistical Decision Analysis Download a printable PDF Submitter: Hanlon, C., Pennsylvania State University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Hanlon CJ, JB Stefik, AA Small, J Verlinde, and GS Young. 2013. "Statistical decision analysis for flight decision support: The SPartICus campaign." Journal of Geophysical Research - Atmospheres, 118(10), 10.1002/jgrd.50237. In many atmospheric science

  2. Potential energy surface fitting by a statistically localized, permutationally invariant, local interpolating moving least squares method for the many-body potential: Method and application to N{sub 4}

    SciTech Connect (OSTI)

    Bender, Jason D.; Doraiswamy, Sriram; Candler, Graham V. E-mail: candler@aem.umn.edu; Truhlar, Donald G. E-mail: candler@aem.umn.edu

    2014-02-07

    Fitting potential energy surfaces to analytic forms is an important first step for efficient molecular dynamics simulations. Here, we present an improved version of the local interpolating moving least squares method (L-IMLS) for such fitting. Our method has three key improvements. First, pairwise interactions are modeled separately from many-body interactions. Second, permutational invariance is incorporated in the basis functions, using permutationally invariant polynomials in Morse variables, and in the weight functions. Third, computational cost is reduced by statistical localization, in which we statistically correlate the cutoff radius with data point density. We motivate our discussion in this paper with a review of global and local least-squares-based fitting methods in one dimension. Then, we develop our method in six dimensions, and we note that it allows the analytic evaluation of gradients, a feature that is important for molecular dynamics. The approach, which we call statistically localized, permutationally invariant, local interpolating moving least squares fitting of the many-body potential (SL-PI-L-IMLS-MP, or, more simply, L-IMLS-G2), is used to fit a potential energy surface to an electronic structure dataset for N{sub 4}. We discuss its performance on the dataset and give directions for further research, including applications to trajectory calculations.

  3. 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.

  4. 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).

  5. 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.

  6. 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.

  7. 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.

  8. Computing contingency statistics in parallel.

    SciTech Connect (OSTI)

    Bennett, Janine Camille; Thompson, David; Pebay, Philippe Pierre

    2010-09-01

    Statistical analysis is typically used to reduce the dimensionality of and infer meaning from data. A key challenge of any statistical analysis package aimed at large-scale, distributed data is to address the orthogonal issues of parallel scalability and numerical stability. Many statistical techniques, e.g., descriptive statistics or principal component analysis, are based on moments and co-moments and, using robust online update formulas, can be computed in an embarrassingly parallel manner, amenable to a map-reduce style implementation. In this paper we focus on contingency tables, through which numerous derived statistics such as joint and marginal probability, point-wise mutual information, information entropy, and {chi}{sup 2} independence statistics can be directly obtained. However, contingency tables can become large as data size increases, requiring a correspondingly large amount of communication between processors. This potential increase in communication prevents optimal parallel speedup and is the main difference with moment-based statistics where the amount of inter-processor communication is independent of data size. Here we present the design trade-offs which we made to implement the computation of contingency tables in parallel.We also study the parallel speedup and scalability properties of our open source implementation. In particular, we observe optimal speed-up and scalability when the contingency statistics are used in their appropriate context, namely, when the data input is not quasi-diffuse.

  9. 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;

  10. 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.

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. Research Highlight

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

    Multiyear Statistics of 2D Shortwave Radiative Effects at Three ARM Sites Download a printable PDF Submitter: Varnai, T., University of Maryland, Baltimore County/JCEST Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Varnai T. 2010. "Multiyear statistics of 2D shortwave radiative effects at three ARM sites." Journal of the Atmospheric Sciences, 67, 3757-3762. Multiyear average influence of 2D radiative processes on total (surface and

  20. Research Highlight

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

    Statistics of Vertical Velocities from Monsoonal Convection with Verification Download a printable PDF Submitter: Collis, S. M., Argonne National Laboratory Area of Research: Vertical Velocity Working Group(s): Cloud Life Cycle Journal Reference: Collis S, A Protat, PT May, and C Williams. 2013. "Statistics of storm updraft velocities from TWP-ICE including verification with profiling measurements." Journal of Applied Meteorology and Climatology, 52(8), 10.1175/jamc-d-12-0230.1. A

  1. 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...

  2. 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

  3. 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:

  4. 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...

  5. 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...

  6. 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...

  7. Statistical parameters for gloss evaluation

    SciTech Connect (OSTI)

    Peiponen, Kai-Erik; Juuti, Mikko

    2006-02-13

    The measurement of minute changes in local gloss has not been presented in international standards due to a lack of suitable glossmeters. The development of a diffractive-element-based glossmeter (DOG) made it possible to detect local variation of gloss from planar and complex-shaped surfaces. Hence, a demand for proper statistical gloss parameters for classifying surface quality by gloss, similar to the standardized surface roughness classification, has become necessary. In this letter, we define statistical gloss parameters and utilize them as an example in the characterization of gloss from metal surface roughness standards by the DOG.

  8. n-dimensional Statistical Inverse Graphical Hydraulic Test Simulator

    Energy Science and Technology Software Center (OSTI)

    2012-09-12

    nSIGHTS (n-dimensional Statistical Inverse Graphical Hydraulic Test Simulator) is a comprehensive well test analysis software package. It provides a user-interface, a well test analysis model and many tools to analyze both field and simulated data. The well test analysis model simulates a single-phase, one-dimensional, radial/non-radial flow regime, with a borehole at the center of the modeled flow system. nSIGHTS solves the radially symmetric n-dimensional forward flow problem using a solver based on a graph-theoretic approach.more » The results of the forward simulation are pressure, and flow rate, given all the input parameters. The parameter estimation portion of nSIGHTS uses a perturbation-based approach to interpret the best-fit well and reservoir parameters, given an observed dataset of pressure and flow rate.« less

  9. QUANTUM MECHANICS WITHOUT STATISTICAL POSTULATES

    SciTech Connect (OSTI)

    G. GEIGER; ET AL

    2000-11-01

    The Bohmian formulation of quantum mechanics describes the measurement process in an intuitive way without a reduction postulate. Due to the chaotic motion of the hidden classical particle all statistical features of quantum mechanics during a sequence of repeated measurements can be derived in the framework of a deterministic single system theory.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. Final Report on Statistical Debugging for Petascale Environments (Technical

    Office of Scientific and Technical Information (OSTI)

    Report) | SciTech Connect Final Report on Statistical Debugging for Petascale Environments Citation Details In-Document Search Title: Final Report on Statistical Debugging for Petascale Environments Authors: Liblit, B Publication Date: 2013-01-18 OSTI Identifier: 1062211 Report Number(s): LLNL-SR-612077 DOE Contract Number: W-7405-ENG-48 Resource Type: Technical Report Research Org: Lawrence Livermore National Laboratory (LLNL), Livermore, CA Sponsoring Org: USDOE Country of Publication:

  15. Research Highlight

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

    Water Vapor Turbulence Statistics in the Convective Boundary Layer Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Life Cycle Journal Reference: Turner DD, V Wulfmeyer, LK Berg, and JH Schween. 2014. "Water vapor turbulence profiles in stationary continental convective mixed layers." Journal of Geophysical Research - Atmospheres, 119,

  16. Research Highlight

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

    Observation of Fair-weather Cumuli over Land Dynamical Factors Controlling Cloud Size and Cover Download a printable PDF Submitter: Lamer, K., Pennsylvania State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Lamer K and P Kollias. 2015. "Observations of fair-weather cumuli over land: dynamical factors controlling cloud size and cover." Geophysical Research Letters, 42(20), 10.1002/2015GL064534. Statistics of

  17. 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

  18. Ideas for Effective Communication of Statistical Results

    DOE PAGES-Beta [OSTI]

    Anderson-Cook, Christine M.

    2015-03-01

    Effective presentation of statistical results to those with less statistical training, including managers and decision-makers requires planning, anticipation and thoughtful delivery. Here are several recommendations for effectively presenting statistical results.

  19. Custom data support for the FAst -physics System Testbed and Research (FASTER) Project

    SciTech Connect (OSTI)

    Toto, T.; Jensen, M.; Vogelmann, A.; Wagener, R.; Liu, Y.; Lin, W.

    2010-03-15

    The multi-institution FAst -physics System Testbed and Research (FASTER) project, funded by the DOE Earth System Modeling program, aims to evaluate and improve the parameterizations of fast processes (those involving clouds, precipitation and aerosols) in global climate models, using a combination of numerical prediction models, single column models, cloud resolving models, large-eddy simulations, full global climate model output and ARM active and passive remote sensing and in-situ data. This poster presents the Custom Data Support effort for the FASTER project. The effort will provide tailored datasets, statistics, best estimates and quality control data, as needed and defined by FASTER participants, for use in evaluating and improving parameterizations of fast processes in GCMs. The data support will include custom gridding and averaging, for the model of interest, using high time resolution and pixel level data from continuous ARM observations and complementary datasets. In addition to the FASTER team, these datasets will be made available to the ARM Science Team. Initial efforts with respect to data product development, priorities, availability and distribution are summarized here with an emphasis on cloud, atmospheric state and aerosol properties as observed during the Spring 2000 Cloud IOP and the Spring 2003 Aerosol IOP at the ARM Southern Great Plains site.

  20. Web Analytics and Statistics | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Web Analytics and Statistics Web Analytics and Statistics EERE uses Google Analytics to capture statistics on its websites. These statistics help website managers measure and report on users, sessions, most visited pages, and more. The Web Template Coordinator can provide you with EERE's username and password and answer questions about your site statistics. Adding Google Analytics to EERE Websites In order for Google Analytics to capture statistics on a site, Google Analytics code has to be

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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).

  7. ORISE: Statistical Analyses of Worker Health

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

    appropriate methods of statistical analysis to a variety of problems in occupational health and other areas. Our expertise spans a range of capabilities essential for statistical...

  8. IEA Energy Statistics | Open Energy Information

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

    Statistics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: IEA Energy Statistics AgencyCompany Organization: International Energy Agency Sector: Energy Topics: GHG...

  9. STATISTICAL PERFORMANCE EVALUATION OF SPRING OPERATED PRESSURE...

    Office of Scientific and Technical Information (OSTI)

    STATISTICAL PERFORMANCE EVALUATION OF SPRING OPERATED PRESSURE RELIEF VALVE RELIABILITY IMPROVEMENTS 2004 TO 2014 Citation Details In-Document Search Title: STATISTICAL PERFORMANCE ...

  10. Statistical Transmutation in Floquet Driven Optical Lattices...

    Office of Scientific and Technical Information (OSTI)

    Statistical Transmutation in Floquet Driven Optical Lattices Citation Details In-Document Search This content will become publicly available on November 3, 2016 Title: Statistical ...

  11. Statistical Transmutation in Floquet Driven Optical Lattices...

    Office of Scientific and Technical Information (OSTI)

    Statistical Transmutation in Floquet Driven Optical Lattices This content will become publicly available on November 3, 2016 Prev Next Title: Statistical Transmutation in ...

  12. ARM - Lesson Plans: Historical Climate Statistics

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

    Historical Climate Statistics Outreach Home Room News Publications Traditional Knowledge ... Teachers' Toolbox Lesson Plans Lesson Plans: Historical Climate Statistics Objective The ...

  13. An Application of Multivariate Statistical Analysis for Query-Driven Visualization

    SciTech Connect (OSTI)

    Gosink, Luke J.; Garth, Christoph; Anderson, John C.; Bethel, E. Wes; Joy, Kenneth I.

    2010-03-01

    Abstract?Driven by the ability to generate ever-larger, increasingly complex data, there is an urgent need in the scientific community for scalable analysis methods that can rapidly identify salient trends in scientific data. Query-Driven Visualization (QDV) strategies are among the small subset of techniques that can address both large and highly complex datasets. This paper extends the utility of QDV strategies with a statistics-based framework that integrates non-parametric distribution estimation techniques with a new segmentation strategy to visually identify statistically significant trends and features within the solution space of a query. In this framework, query distribution estimates help users to interactively explore their query's solution and visually identify the regions where the combined behavior of constrained variables is most important, statistically, to their inquiry. Our new segmentation strategy extends the distribution estimation analysis by visually conveying the individual importance of each variable to these regions of high statistical significance. We demonstrate the analysis benefits these two strategies provide and show how they may be used to facilitate the refinement of constraints over variables expressed in a user's query. We apply our method to datasets from two different scientific domains to demonstrate its broad applicability.

  14. 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.

  15. 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.

  16. COLLABORATIVE RESEARCH:USING ARM OBSERVATIONS & ADVANCED STATISTICAL...

    Office of Scientific and Technical Information (OSTI)

    CAM3 CLOUDS FOR DEVELOPMENT OF STOCHASTIC CLOUD-RADIATION Citation Details In-Document ... CAM3 CLOUDS FOR DEVELOPMENT OF STOCHASTIC CLOUD-RADIATION The long-range goal of several ...

  17. 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.

  18. Transportation Statistics Annual Report 1997

    SciTech Connect (OSTI)

    Fenn, M.

    1997-01-01

    This document is the fourth Transportation Statistics Annual Report (TSAR) prepared by the Bureau of Transportation Statistics (BTS) for the President and Congress. As in previous years, it reports on the state of U.S. transportation system at two levels. First, in Part I, it provides a statistical and interpretive survey of the system—its physical characteristics, its economic attributes, aspects of its use and performance, and the scale and severity of unintended consequences of transportation, such as fatalities and injuries, oil import dependency, and environment impacts. Part I also explores the state of transportation statistics, and new needs of the rapidly changing world of transportation. Second, Part II of the report, as in prior years, explores in detail the performance of the U.S. transportation system from the perspective of desired social outcomes or strategic goals. This year, the performance aspect of transportation chosen for thematic treatment is “Mobility and Access,” which complements past TSAR theme sections on “The Economic Performance of Transportation” (1995) and “Transportation and the Environment” (1996). Mobility and access are at the heart of the transportation system’s performance from the user’s perspective. In what ways and to what extent does the geographic freedom provided by transportation enhance personal fulfillment of the nation’s residents and contribute to economic advancement of people and businesses? This broad question underlies many of the topics examined in Part II: What is the current level of personal mobility in the United States, and how does it vary by sex, age, income level, urban or rural location, and over time? What factors explain variations? Has transportation helped improve people’s access to work, shopping, recreational facilities, and medical services, and in what ways and in what locations? How have barriers, such as age, disabilities, or lack of an automobile, affected these

  19. Statistics, Uncertainty, and Transmitted Variation

    SciTech Connect (OSTI)

    Wendelberger, Joanne Roth

    2014-11-05

    The field of Statistics provides methods for modeling and understanding data and making decisions in the presence of uncertainty. When examining response functions, variation present in the input variables will be transmitted via the response function to the output variables. This phenomenon can potentially have significant impacts on the uncertainty associated with results from subsequent analysis. This presentation will examine the concept of transmitted variation, its impact on designed experiments, and a method for identifying and estimating sources of transmitted variation in certain settings.

  20. Office of Survey Development and Statistical Integration

    Gasoline and Diesel Fuel Update

    Steve Harvey April 27, 2011 | Washington, D.C. Tough Choices in U.S. EIA's Data Programs Agenda * Office of Oil, Gas, and Coal Supply Statistics * Office of Petroleum and Biofuels Statistics * Office of Electricity, Renewables, and Uranium Statistics * Office of Energy Consumption and Efficiency Statistics * Office of Survey Development and Statistical Integration 2 Presenter name, Presentation location, Presentation date Coal Data Collection Program 3 James Kendell Washington, DC, April 27,

  1. Lectures on probability and statistics

    SciTech Connect (OSTI)

    Yost, G.P.

    1984-09-01

    These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. We begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probability of any specified outcome. We finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another.

  2. Statistical Exploration of Electronic Structure of Molecules from Quantum Monte-Carlo Simulations

    SciTech Connect (OSTI)

    Prabhat, Mr; Zubarev, Dmitry; Lester, Jr., William A.

    2010-12-22

    In this report, we present results from analysis of Quantum Monte Carlo (QMC) simulation data with the goal of determining internal structure of a 3N-dimensional phase space of an N-electron molecule. We are interested in mining the simulation data for patterns that might be indicative of the bond rearrangement as molecules change electronic states. We examined simulation output that tracks the positions of two coupled electrons in the singlet and triplet states of an H2 molecule. The electrons trace out a trajectory, which was analyzed with a number of statistical techniques. This project was intended to address the following scientific questions: (1) Do high-dimensional phase spaces characterizing electronic structure of molecules tend to cluster in any natural way? Do we see a change in clustering patterns as we explore different electronic states of the same molecule? (2) Since it is hard to understand the high-dimensional space of trajectories, can we project these trajectories to a lower dimensional subspace to gain a better understanding of patterns? (3) Do trajectories inherently lie in a lower-dimensional manifold? Can we recover that manifold? After extensive statistical analysis, we are now in a better position to respond to these questions. (1) We definitely see clustering patterns, and differences between the H2 and H2tri datasets. These are revealed by the pamk method in a fairly reliable manner and can potentially be used to distinguish bonded and non-bonded systems and get insight into the nature of bonding. (2) Projecting to a lower dimensional subspace ({approx}4-5) using PCA or Kernel PCA reveals interesting patterns in the distribution of scalar values, which can be related to the existing descriptors of electronic structure of molecules. Also, these results can be immediately used to develop robust tools for analysis of noisy data obtained during QMC simulations (3) All dimensionality reduction and estimation techniques that we tried seem to

  3. Tomography and weak lensing statistics

    SciTech Connect (OSTI)

    Munshi, Dipak; Coles, Peter; Kilbinger, Martin E-mail: peter.coles@astro.cf.ac.uk

    2014-04-01

    We provide generic predictions for the lower order cumulants of weak lensing maps, and their correlators for tomographic bins as well as in three dimensions (3D). Using small-angle approximation, we derive the corresponding one- and two-point probability distribution function for the tomographic maps from different bins and for 3D convergence maps. The modelling of weak lensing statistics is obtained by adopting a detailed prescription for the underlying density contrast that involves hierarchal ansatz and lognormal distribution. We study the dependence of our results on cosmological parameters and source distributions corresponding to the realistic surveys such as LSST and DES. We briefly outline how photometric redshift information can be incorporated in our results. We also show how topological properties of convergence maps can be quantified using our results.

  4. Parallel auto-correlative statistics with VTK.

    SciTech Connect (OSTI)

    Pebay, Philippe Pierre; Bennett, Janine Camille

    2013-08-01

    This report summarizes existing statistical engines in VTK and presents both the serial and parallel auto-correlative statistics engines. It is a sequel to [PT08, BPRT09b, PT09, BPT09, PT10] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, contingency, k-means, and order statistics engines. The ease of use of the new parallel auto-correlative statistics engine is illustrated by the means of C++ code snippets and algorithm verification is provided. This report justifies the design of the statistics engines with parallel scalability in mind, and provides scalability and speed-up analysis results for the autocorrelative statistics engine.

  5. Research Highlight

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

    Hiding in Plain Sight: a Less-Explored Secret of Secondary Organic Aerosols PI Contact: Shrivastava, M., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Shrivastava M, C Zhao, RC Easter, Y Qian, A Zelenyuk, JD Fast, Y Liu, Q Zhang, and A Guenther. 2016. "Sensitivity analysis of simulated SOA loadings using a variance-based statistical approach." Journal of Advances in Modeling Earth Systems, ,

  6. 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.

  7. 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

  8. 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.

  9. 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.

  10. EERE Statistics Archive | Department of Energy

    Energy.gov (indexed) [DOE]

    This page provides EERE Web statistics for all office and corporate websites that opted to use EERE's analytics account. Webtrends statistics for Fiscal Year 2009 (FY09) to FY11 ...

  11. STORM: A STatistical Object Representation Model

    SciTech Connect (OSTI)

    Rafanelli, M. ); Shoshani, A. )

    1989-11-01

    In this paper we explore the structure and semantic properties of the entities stored in statistical databases. We call such entities statistical objects'' (SOs) and propose a new statistical object representation model,'' based on a graph representation. We identify a number of SO representational problems in current models and propose a methodology for their solution. 11 refs.

  12. Quantrum chaos and statistical nuclear physics

    SciTech Connect (OSTI)

    Not Available

    1986-01-01

    This book contains 33 selections. Some of the titles are: Chaotic motion and statistical nuclear theory; Test of spectrum and strength fluctuations with proton resonances; Nuclear level densities and level spacing distributions; Spectral statistics of scale invariant systems; and Antiunitary symmetries and energy level statistics.

  13. 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.

  14. 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.

  15. 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).

  16. ORISE: Worker Health Research

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

    Worker Health Research Worker Health Research The Oak Ridge Institute for Science and Education (ORISE) provides technical assistance to the U.S. Department of Energy (DOE) and other government agencies by performing specialized worker health research to assess the health of workers and other populations. Statistical methods, epidemiologic research and hazard assessments are core ORISE worker health research competencies. Because information technology is an integral part of the epidemiologic

  17. 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

  18. 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

  19. 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

  20. Statistical Hot Channel Analysis for the NBSR

    SciTech Connect (OSTI)

    Cuadra A.; Baek J.

    2014-05-27

    A statistical analysis of thermal limits has been carried out for the research reactor (NBSR) at the National Institute of Standards and Technology (NIST). The objective of this analysis was to update the uncertainties of the hot channel factors with respect to previous analysis for both high-enriched uranium (HEU) and low-enriched uranium (LEU) fuels. Although uncertainties in key parameters which enter into the analysis are not yet known for the LEU core, the current analysis uses reasonable approximations instead of conservative estimates based on HEU values. Cumulative distribution functions (CDFs) were obtained for critical heat flux ratio (CHFR), and onset of flow instability ratio (OFIR). As was done previously, the Sudo-Kaminaga correlation was used for CHF and the Saha-Zuber correlation was used for OFI. Results were obtained for probability levels of 90%, 95%, and 99.9%. As an example of the analysis, the results for both the existing reactor with HEU fuel and the LEU core show that CHFR would have to be above 1.39 to assure with 95% probability that there is no CHF. For the OFIR, the results show that the ratio should be above 1.40 to assure with a 95% probability that OFI is not reached.

  1. I/O Statistics Last 30 Days

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

    I/O Statistics Last 30 Days I/O Statistics Last 30 Days These plots show the daily statistics for the last 30 days for the storage systems at NERSC in terms of the amount of data transferred and the number of files transferred. Daily I/O Volume Daily I/O Count Last edited: 2016-10-21 11:56:2

  2. ARM - Lesson Plans: Weather and Climate Statistics

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

    Weather and Climate Statistics Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Lesson Plans: Weather and Climate Statistics Objective The objective is to enable students to understand the difference between weather and climate, and to be able to interpret climatic statistics provided.

  3. Statistical assessment of Monte Carlo distributional tallies

    SciTech Connect (OSTI)

    Kiedrowski, Brian C; Solomon, Clell J

    2010-12-09

    Four tests are developed to assess the statistical reliability of distributional or mesh tallies. To this end, the relative variance density function is developed and its moments are studied using simplified, non-transport models. The statistical tests are performed upon the results of MCNP calculations of three different transport test problems and appear to show that the tests are appropriate indicators of global statistical quality.

  4. Statistics for characterizing data on the periphery

    SciTech Connect (OSTI)

    Theiler, James P; Hush, Donald R

    2010-01-01

    We introduce a class of statistics for characterizing the periphery of a distribution, and show that these statistics are particularly valuable for problems in target detection. Because so many detection algorithms are rooted in Gaussian statistics, we concentrate on ellipsoidal models of high-dimensional data distributions (that is to say: covariance matrices), but we recommend several alternatives to the sample covariance matrix that more efficiently model the periphery of a distribution, and can more effectively detect anomalous data samples.

  5. Moore honored with American Statistical Association award

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

    Before his death in 1991, Professor Owen was the Distinguished Professor of Statistics at Southern Methodist University in Dallas, Texas. His illustrious career serves as the ...

  6. Structure Learning and Statistical Estimation in Distribution...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: Structure Learning and Statistical Estimation ... Part I of this paper discusses the problem of learning the operational structure of the ...

  7. Statistics for Industry Groups and Industries, 2003

    SciTech Connect (OSTI)

    2009-01-18

    Statistics for the U.S. Department of Commerce including types of manufacturing, employees, and products as outlined in the Annual Survey of Manufacturers (ASM).

  8. Statistical methods for nuclear material management

    SciTech Connect (OSTI)

    Bowen W.M.; Bennett, C.A.

    1988-12-01

    This book is intended as a reference manual of statistical methodology for nuclear material management practitioners. It describes statistical methods currently or potentially important in nuclear material management, explains the choice of methods for specific applications, and provides examples of practical applications to nuclear material management problems. Together with the accompanying training manual, which contains fully worked out problems keyed to each chapter, this book can also be used as a textbook for courses in statistical methods for nuclear material management. It should provide increased understanding and guidance to help improve the application of statistical methods to nuclear material management problems.

  9. STATISTICAL PERFORMANCE EVALUATION OF SPRING OPERATED PRESSURE...

    Office of Scientific and Technical Information (OSTI)

    VALVE RELIABILITY IMPROVEMENTS 2004 TO 2014 Citation Details In-Document Search Title: STATISTICAL PERFORMANCE EVALUATION OF SPRING OPERATED PRESSURE RELIEF VALVE RELIABILITY ...

  10. ANNUAL FEDERAL EQUAL EMPLOYMENT OPPORTUNITY STATISTICAL REPORT...

    National Nuclear Security Administration (NNSA)

    STATISTICAL REPORT OF DISCRIMINATION COMPLAINTS (REPORTING PERIOD BEGINS OCTOBER 1ST AND ... COUNSELORINVESTIGATOR F. COMPLAINTS IN LINE E CLOSED DURING REPORT PERIOD a. FULL-TIME b. ...

  11. [pic] EERE Web Site Statistics - Social Media

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    EERE Web Site Statistics - Social Media Custom View: 10110 - 93011 October 1, 2010 ... site compels visitors to return. Updating web site content is one way to draw return ...

  12. Statistical Projections for Multi-resolution, Multi-dimensional Visual Data Exploration and Analysis

    SciTech Connect (OSTI)

    Hoa T. Nguyen; Stone, Daithi; E. Wes Bethel

    2016-01-01

    An ongoing challenge in visual exploration and analysis of large, multi-dimensional datasets is how to present useful, concise information to a user for some specific visualization tasks. Typical approaches to this problem have proposed either reduced-resolution versions of data, or projections of data, or both. These approaches still have some limitations such as consuming high computation or suffering from errors. In this work, we explore the use of a statistical metric as the basis for both projections and reduced-resolution versions of data, with a particular focus on preserving one key trait in data, namely variation. We use two different case studies to explore this idea, one that uses a synthetic dataset, and another that uses a large ensemble collection produced by an atmospheric modeling code to study long-term changes in global precipitation. The primary findings of our work are that in terms of preserving the variation signal inherent in data, that using a statistical measure more faithfully preserves this key characteristic across both multi-dimensional projections and multi-resolution representations than a methodology based upon averaging.

  13. Federal offshore statistics: leasing - exploration - production - revenue

    SciTech Connect (OSTI)

    Essertier, E.P.

    1984-01-01

    Federal Offshore Statistics is a numerical record of what has happened since Congress gave authority to the Secretary of the Interior in 1953 to lease the Federal portion of the Continental Shelf for oil and gas. The publication updates and augments the first Federal Offshore Statistics, published in December 1983. It also extends a statistical series published annually from 1969 until 1981 by the US Geological Survey (USGS) under the title Outer Continental Shelf Statistics. The USGS collected royalties and supervised operation and production of minerals on the Outer Continental Shelf (OCS) until the Minerals Management Service (MMS) took over these functions in 1982. Statistics are presented under the following topics: (1) highlights, (2) leasing, (3) exploration and development, (4) production and revenue, (5) federal offshore production by ranking operator, 1983, (6) reserves and undiscovered recoverable resources, and (7) oil pollution in the world's oceans.

  14. 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.

  15. Statistical methods for environmental pollution monitoring

    SciTech Connect (OSTI)

    Gilbert, R.O.

    1987-01-01

    The application of statistics to environmental pollution monitoring studies requires a knowledge of statistical analysis methods particularly well suited to pollution data. This book fills that need by providing sampling plans, statistical tests, parameter estimation procedure techniques, and references to pertinent publications. Most of the statistical techniques are relatively simple, and examples, exercises, and case studies are provided to illustrate procedures. The book is logically divided into three parts. Chapters 1, 2, and 3 are introductory chapters. Chapters 4 through 10 discuss field sampling designs and Chapters 11 through 18 deal with a broad range of statistical analysis procedures. Some statistical techniques given here are not commonly seen in statistics book. For example, see methods for handling correlated data (Sections 4.5 and 11.12), for detecting hot spots (Chapter 10), and for estimating a confidence interval for the mean of a lognormal distribution (Section 13.2). Also, Appendix B lists a computer code that estimates and tests for trends over time at one or more monitoring stations using nonparametric methods (Chapters 16 and 17). Unfortunately, some important topics could not be included because of their complexity and the need to limit the length of the book. For example, only brief mention could be made of time series analysis using Box-Jenkins methods and of kriging techniques for estimating spatial and spatial-time patterns of pollution, although multiple references on these topics are provided. Also, no discussion of methods for assessing risks from environmental pollution could be included.

  16. STATISTICAL ANALYSIS OF THE HEAVY NEUTRAL ATOMS MEASURED BY IBEX

    SciTech Connect (OSTI)

    Park, Jeewoo; Kucharek, Harald; Möbius, Eberhard; Galli, André; Livadiotis, George; Fuselier, Steve A.; McComas, David J.

    2015-10-15

    We investigate the directional distribution of heavy neutral atoms in the heliosphere by using heavy neutral maps generated with the IBEX-Lo instrument over three years from 2009 to 2011. The interstellar neutral (ISN) O and Ne gas flow was found in the first-year heavy neutral map at 601 keV and its flow direction and temperature were studied. However, due to the low counting statistics, researchers have not treated the full sky maps in detail. The main goal of this study is to evaluate the statistical significance of each pixel in the heavy neutral maps to get a better understanding of the directional distribution of heavy neutral atoms in the heliosphere. Here, we examine three statistical analysis methods: the signal-to-noise filter, the confidence limit method, and the cluster analysis method. These methods allow us to exclude background from areas where the heavy neutral signal is statistically significant. These methods also allow the consistent detection of heavy neutral atom structures. The main emission feature expands toward lower longitude and higher latitude from the observational peak of the ISN O and Ne gas flow. We call this emission the extended tail. It may be an imprint of the secondary oxygen atoms generated by charge exchange between ISN hydrogen atoms and oxygen ions in the outer heliosheath.

  17. Scalable k-means statistics with Titan.

    SciTech Connect (OSTI)

    Thompson, David C.; Bennett, Janine C.; Pebay, Philippe Pierre

    2009-11-01

    This report summarizes existing statistical engines in VTK/Titan and presents both the serial and parallel k-means statistics engines. It is a sequel to [PT08], [BPRT09], and [PT09] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, and contingency engines. The ease of use of the new parallel k-means engine is illustrated by the means of C++ code snippets and algorithm verification is provided. This report justifies the design of the statistics engines with parallel scalability in mind, and provides scalability and speed-up analysis results for the k-means engine.

  18. Security of statistical data bases: invasion of privacy through attribute correlational modeling

    SciTech Connect (OSTI)

    Palley, M.A.

    1985-01-01

    This study develops, defines, and applies a statistical technique for the compromise of confidential information in a statistical data base. Attribute Correlational Modeling (ACM) recognizes that the information contained in a statistical data base represents real world statistical phenomena. As such, ACM assumes correlational behavior among the database attributes. ACM proceeds to compromise confidential information through creation of a regression model, where the confidential attribute is treated as the dependent variable. The typical statistical data base may preclude the direct application of regression. In this scenario, the research introduces the notion of a synthetic data base, created through legitimate queries of the actual data base, and through proportional random variation of responses to these queries. The synthetic data base is constructed to resemble the actual data base as closely as possible in a statistical sense. ACM then applies regression analysis to the synthetic data base, and utilizes the derived model to estimate confidential information in the actual database.

  19. 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 ...

  20. 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 ...

  1. 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 ...

  2. I/O Statistics Last 30 Days

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

    Last 30 Days These plots show the daily statistics for the last 30 days for the storage systems at NERSC in terms of the amount of data transferred and the number of files...

  3. Statistical criteria for characterizing irradiance time series.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.

    2010-10-01

    We propose and examine several statistical criteria for characterizing time series of solar irradiance. Time series of irradiance are used in analyses that seek to quantify the performance of photovoltaic (PV) power systems over time. Time series of irradiance are either measured or are simulated using models. Simulations of irradiance are often calibrated to or generated from statistics for observed irradiance and simulations are validated by comparing the simulation output to the observed irradiance. Criteria used in this comparison should derive from the context of the analyses in which the simulated irradiance is to be used. We examine three statistics that characterize time series and their use as criteria for comparing time series. We demonstrate these statistics using observed irradiance data recorded in August 2007 in Las Vegas, Nevada, and in June 2009 in Albuquerque, New Mexico.

  4. 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.

  5. Statistical Fault Detection & Diagnosis Expert System

    Energy Science and Technology Software Center (OSTI)

    1996-12-18

    STATMON is an expert system that performs real-time fault detection and diagnosis of redundant sensors in any industrial process requiring high reliability. After a training period performed during normal operation, the expert system monitors the statistical properties of the incoming signals using a pattern recognition test. If the test determines that statistical properties of the signals have changed, the expert system performs a sequence of logical steps to determine which sensor or machine component hasmoredegraded.less

  6. South Carolina Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update

    Solar Photovoltaic Cell/Module Shipments Report September 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Improving the Quality and Scope of EIA Data i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or

  7. Statistics of particle time-temperature histories.

    SciTech Connect (OSTI)

    Hewson, John C.; Lignell, David O.; Sun, Guangyuan

    2014-10-01

    Particles in non - isothermal turbulent flow are subject to a stochastic environment tha t produces a distribution of particle time - temperature histories. This distribution is a function of the dispersion of the non - isothermal (continuous) gas phase and the distribution of particles relative to that gas phase. In this work we extend the one - dimensional turbulence (ODT) model to predict the joint dispersion of a dispersed particle phase and a continuous phase. The ODT model predicts the turbulent evolution of continuous scalar fields with a model for the cascade of fluctuations to smaller sc ales (the 'triplet map') at a rate that is a function of the fully resolved one - dimens ional velocity field . Stochastic triplet maps also drive Lagrangian particle dispersion with finite Stokes number s including inertial and eddy trajectory - crossing effect s included. Two distinct approaches to this coupling between triplet maps and particle dispersion are developed and implemented along with a hybrid approach. An 'instantaneous' particle displacement model matches the tracer particle limit and provide s an accurate description of particle dispersion. A 'continuous' particle displacement m odel translates triplet maps into a continuous velocity field to which particles respond. Particles can alter the turbulence, and modifications to the stochastic rate expr ession are developed for two - way coupling between particles and the continuous phase. Each aspect of model development is evaluated in canonical flows (homogeneous turbulence, free - shear flows and wall - bounded flows) for which quality measurements are ava ilable. ODT simulations of non - isothermal flows provide statistics for particle heating. These simulations show the significance of accurately predicting the joint statistics of particle and fluid dispersion . Inhomogeneous turbulence coupled with the in fluence of the mean flow fields on particles of varying properties alter s particle dispersion. The

  8. Doppler Lidar Vertical Velocity Statistics Value-Added Product

    SciTech Connect (OSTI)

    Newsom, R. K.; Sivaraman, C.; Shippert, T. R.; Riihimaki, L. D.

    2015-07-01

    Accurate height-resolved measurements of higher-order statistical moments of vertical velocity fluctuations are crucial for improved understanding of turbulent mixing and diffusion, convective initiation, and cloud life cycles. The Atmospheric Radiation Measurement (ARM) Climate Research Facility operates coherent Doppler lidar systems at several sites around the globe. These instruments provide measurements of clear-air vertical velocity profiles in the lower troposphere with a nominal temporal resolution of 1 sec and height resolution of 30 m. The purpose of the Doppler lidar vertical velocity statistics (DLWSTATS) value-added product (VAP) is to produce height- and time-resolved estimates of vertical velocity variance, skewness, and kurtosis from these raw measurements. The VAP also produces estimates of cloud properties, including cloud-base height (CBH), cloud frequency, cloud-base vertical velocity, and cloud-base updraft fraction.

  9. SU-E-J-253: The Radiomics Toolbox in the Computational Environment for Radiological Research (CERR)

    SciTech Connect (OSTI)

    Apte, A; Veeraraghavan, H; Oh, J; Kijewski, P; Deasy, J

    2015-06-15

    Purpose: To present an open source and free platform to facilitate radiomics research — The “Radiomics toolbox” in CERR. Method: There is scarcity of open source tools that support end-to-end modeling of image features to predict patient outcomes. The “Radiomics toolbox” strives to fill the need for such a software platform. The platform supports (1) import of various kinds of image modalities like CT, PET, MR, SPECT, US. (2) Contouring tools to delineate structures of interest. (3) Extraction and storage of image based features like 1st order statistics, gray-scale co-occurrence and zonesize matrix based texture features and shape features and (4) Statistical Analysis. Statistical analysis of the extracted features is supported with basic functionality that includes univariate correlations, Kaplan-Meir curves and advanced functionality that includes feature reduction and multivariate modeling. The graphical user interface and the data management are performed with Matlab for the ease of development and readability of code and features for wide audience. Open-source software developed with other programming languages is integrated to enhance various components of this toolbox. For example: Java-based DCM4CHE for import of DICOM, R for statistical analysis. Results: The Radiomics toolbox will be distributed as an open source, GNU copyrighted software. The toolbox was prototyped for modeling Oropharyngeal PET dataset at MSKCC. The analysis will be presented in a separate paper. Conclusion: The Radiomics Toolbox provides an extensible platform for extracting and modeling image features. To emphasize new uses of CERR for radiomics and image-based research, we have changed the name from the “Computational Environment for Radiotherapy Research” to the “Computational Environment for Radiological Research”.

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

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

    Energy.gov [DOE]

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

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

    Energy.gov [DOE]

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

  17. Fact #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

  18. 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

  19. 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)

  20. 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

  1. NREL: Wind Research - News Release Archives

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

    the Data Book illustrates United States and global energy statistics, including renewable electricity generation, ... of Domestic Offshore Wind Industry Several researchers ...

  2. Nuclear Forensic Inferences Using Iterative Multidimensional Statistics

    SciTech Connect (OSTI)

    Robel, M; Kristo, M J; Heller, M A

    2009-06-09

    Nuclear forensics involves the analysis of interdicted nuclear material for specific material characteristics (referred to as 'signatures') that imply specific geographical locations, production processes, culprit intentions, etc. Predictive signatures rely on expert knowledge of physics, chemistry, and engineering to develop inferences from these material characteristics. Comparative signatures, on the other hand, rely on comparison of the material characteristics of the interdicted sample (the 'questioned sample' in FBI parlance) with those of a set of known samples. In the ideal case, the set of known samples would be a comprehensive nuclear forensics database, a database which does not currently exist. In fact, our ability to analyze interdicted samples and produce an extensive list of precise materials characteristics far exceeds our ability to interpret the results. Therefore, as we seek to develop the extensive databases necessary for nuclear forensics, we must also develop the methods necessary to produce the necessary inferences from comparison of our analytical results with these large, multidimensional sets of data. In the work reported here, we used a large, multidimensional dataset of results from quality control analyses of uranium ore concentrate (UOC, sometimes called 'yellowcake'). We have found that traditional multidimensional techniques, such as principal components analysis (PCA), are especially useful for understanding such datasets and drawing relevant conclusions. In particular, we have developed an iterative partial least squares-discriminant analysis (PLS-DA) procedure that has proven especially adept at identifying the production location of unknown UOC samples. By removing classes which fell far outside the initial decision boundary, and then rebuilding the PLS-DA model, we have consistently produced better and more definitive attributions than with a single pass classification approach. Performance of the iterative PLS-DA method

  3. Load research manual. Volume 3. Load research for advanced technologies

    SciTech Connect (OSTI)

    Brandenburg, L.; Clarkson, G.; Grund, Jr., C.; Leo, J.; Asbury, J.; Brandon-Brown, F.; Derderian, H.; Mueller, R.; Swaroop, R.

    1980-11-01

    This three-volume manual presents technical guidelines for electric utility load research. Special attention is given to issues raised by the load data reporting requirements of the Public Utility Regulatory Policies Act of 1978 and to problems faced by smaller utilities that are initiating load research programs. The manual includes guides to load research literature and glossaries of load research and statistical terms. In Volume 3, special load research procedures are presented for solar, wind, and cogeneration technologies.

  4. Statistical physics on the light-front

    SciTech Connect (OSTI)

    Raufeisen, J.

    2005-06-14

    The formulation of statistical physics using light-front quantization, instead of conventional equal-time boundary conditions, has important advantages for describing relativistic statistical systems, such as heavy ion collisions. We develop light-front field theory at finite temperature and density with special attention to Quantum Chromodynamics. We construct the most general form of the statistical operator allowed by the Poincare algebra and introduce the chemical potential in a covariant way. In light-front quantization, the Green's functions of a quark in a medium can be defined in terms of just 2-component spinors and does not lead to doublers in the transverse directions. A seminal property of light-front Green's functions is that they are related to parton densities in coordinate space. Namely, the diagonal and off-diagonal parton distributions measured in hard scattering experiments can be interpreted as light-front density matrices.

  5. Statistical methods for environmental pollution monitoring

    SciTech Connect (OSTI)

    Gilbert, R.O.

    1986-01-01

    This volume covers planning, design, and data analysis. It offers statistical methods for designing environmental sampling and monitoring programs as well as analyzing the resulting data. Statistical sample survey methods to problems of estimating average and total amounts of environmental pollution are presented in detail. The book also provides a broad array of statistical analysis methods for many purposes...numerous examples...three case studies...end-of-chapter questions...computer codes (showing what output looks like along with its interpretation)...a discussion of Kriging methods for estimating pollution concentration contours over space and/or time...nomographs for determining the number of samples required to detect hot spots with specified confidence...and a description and tables for conducting Rosner's test to identify outlaying (usually large) pollution measurements in a data set.

  6. Statistical Fault Detection & Diagnosis Expert System

    Energy Science and Technology Software Center (OSTI)

    1996-12-18

    STATMON is an expert system that performs real-time fault detection and diagnosis of redundant sensors in any industrial process requiring high reliability. After a training period performed during normal operation, the expert system monitors the statistical properties of the incoming signals using a pattern recognition test. If the test determines that statistical properties of the signals have changed, the expert system performs a sequence of logical steps to determine which sensor or machine component hasmore » degraded.« less

  7. Statistical data of the uranium industry

    SciTech Connect (OSTI)

    1983-01-01

    This report is a compendium of information relating to US uranium reserves and potential resources and to exploration, mining, milling, and other activities of the uranium industry through 1982. The statistics are based primarily on data provided voluntarily by the uranium exploration, mining and milling companies. The compendium has been published annually since 1968 and reflects the basic programs of the Grand Junction Area Office of the US Department of Energy. Statistical data obtained from surveys conducted by the Energy Information Administration are included in Section IX. The production, reserves, and drilling data are reported in a manner which avoids disclosure of proprietary information.

  8. Federal offshore statistics: leasing, exploration, production, revenue

    SciTech Connect (OSTI)

    Essertier, E.P.

    1983-01-01

    The statistics in this update of the Outer Continental Shelf Statistics publication document what has happened since federal leasing began on the Outer Continental Shelf (OCS) in 1954. Highlights note that of the 29.8 million acres actually leased from 175.6 million acres offered for leasing, 20.1% were in frontier areas. Total revenues for the 1954-1982 period were $58.9 billion with about 13% received in 1982. The book is divided into six parts covering highlights, leasing, exploration and development, production and revenue, reserves and undiscovered recoverable resources, and pollution problems from well and tanker accidents. 5 figures, 59 tables.

  9. 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.

  10. Statistical physics of networks, information and complex systems

    SciTech Connect (OSTI)

    Ecke, Robert E

    2009-01-01

    In this project we explore the mathematical methods and concepts of statistical physics that are fmding abundant applications across the scientific and technological spectrum from soft condensed matter systems and bio-infonnatics to economic and social systems. Our approach exploits the considerable similarity of concepts between statistical physics and computer science, allowing for a powerful multi-disciplinary approach that draws its strength from cross-fertilization and mUltiple interactions of researchers with different backgrounds. The work on this project takes advantage of the newly appreciated connection between computer science and statistics and addresses important problems in data storage, decoding, optimization, the infonnation processing properties of the brain, the interface between quantum and classical infonnation science, the verification of large software programs, modeling of complex systems including disease epidemiology, resource distribution issues, and the nature of highly fluctuating complex systems. Common themes that the project has been emphasizing are (i) neural computation, (ii) network theory and its applications, and (iii) a statistical physics approach to infonnation theory. The project's efforts focus on the general problem of optimization and variational techniques, algorithm development and infonnation theoretic approaches to quantum systems. These efforts are responsible for fruitful collaborations and the nucleation of science efforts that span multiple divisions such as EES, CCS, 0 , T, ISR and P. This project supports the DOE mission in Energy Security and Nuclear Non-Proliferation by developing novel infonnation science tools for communication, sensing, and interacting complex networks such as the internet or energy distribution system. The work also supports programs in Threat Reduction and Homeland Security.

  11. Baseballs and Barrels: World Statistics Day

    Energy.gov [DOE]

    Statistics don’t just help us answer trivia questions – they also help us make intelligent decisions. For example, if I heat my home with natural gas, I’m probably interested in what natural gas prices are likely to be this winter.

  12. Statistics of dislocation pinning at localized obstacles

    SciTech Connect (OSTI)

    Dutta, A.; Bhattacharya, M. Barat, P.

    2014-10-14

    Pinning of dislocations at nanosized obstacles like precipitates, voids, and bubbles is a crucial mechanism in the context of phenomena like hardening and creep. The interaction between such an obstacle and a dislocation is often studied at fundamental level by means of analytical tools, atomistic simulations, and finite element methods. Nevertheless, the information extracted from such studies cannot be utilized to its maximum extent on account of insufficient information about the underlying statistics of this process comprising a large number of dislocations and obstacles in a system. Here, we propose a new statistical approach, where the statistics of pinning of dislocations by idealized spherical obstacles is explored by taking into account the generalized size-distribution of the obstacles along with the dislocation density within a three-dimensional framework. Starting with a minimal set of material parameters, the framework employs the method of geometrical statistics with a few simple assumptions compatible with the real physical scenario. The application of this approach, in combination with the knowledge of fundamental dislocation-obstacle interactions, has successfully been demonstrated for dislocation pinning at nanovoids in neutron irradiated type 316-stainless steel in regard to the non-conservative motion of dislocations. An interesting phenomenon of transition from rare pinning to multiple pinning regimes with increasing irradiation temperature is revealed.

  13. Multifragmentation: New dynamics or old statistics?

    SciTech Connect (OSTI)

    Moretto, L.G.; Delis, D.N.; Wozniak, G.J.

    1993-10-01

    The understanding of the fission process as it has developed over the last fifty years has been applied to multifragmentation. Two salient aspects have been discovered: 1) a strong decoupling of the entrance and exit channels with the formation of well-characterized sources: 2) a statistical competition between two-, three-, four-, five-, ... n-body decays.

  14. Notes on the MUF-D statistic

    SciTech Connect (OSTI)

    Picard, R.R.

    1987-01-01

    Many aspects of the MUF-D statistic, used for verification of accountability data, have been examined in the safeguards literature. In this paper, basic MUF-D results are extended to more general environments than are usually considered. These environments include arbitrary measurement error structures, various sampling regimes that could be imposed by the inspectorate, and the attributes/variables framework.

  15. Chapter 9: Enabling Capabilities for Science and Energy | User Facility Statistics Supplemental Information

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    User Facility Statistics Chapter 9: Enabling Capabilities for Science and Energy Scientific User Facility Statistics User facilities 1 - federally sponsored research facilities available for external use to advance scientific or technical knowledge - are a core component of the Department of Energy's (DOE) Office of Science (DOE-SC) mission and an important part of the broader DOE mission. The 34 DOE user facilities 2 provide state-of-the-art experimental and/or computational resources that are

  16. Long-term Observations of the Convective Boundary Layer Using Insect Radar Returns at the SGP ARM Climate Research Facility

    SciTech Connect (OSTI)

    Chandra, A S; Kollias, P; Giangrande, S E; Klein, S A

    2009-08-20

    A long-term study of the turbulent structure of the convective boundary layer (CBL) at the U.S. Department of Energy Atmospheric Radiation Measurement Program (ARM) Southern Great Plains (SGP) Climate Research Facility is presented. Doppler velocity measurements from insects occupying the lowest 2 km of the boundary layer during summer months are used to map the vertical velocity component in the CBL. The observations cover four summer periods (2004-08) and are classified into cloudy and clear boundary layer conditions. Profiles of vertical velocity variance, skewness, and mass flux are estimated to study the daytime evolution of the convective boundary layer during these conditions. A conditional sampling method is applied to the original Doppler velocity dataset to extract coherent vertical velocity structures and to examine plume dimension and contribution to the turbulent transport. Overall, the derived turbulent statistics are consistent with previous aircraft and lidar observations. The observations provide unique insight into the daytime evolution of the convective boundary layer and the role of increased cloudiness in the turbulent budget of the subcloud layer. Coherent structures (plumes-thermals) are found to be responsible for more than 80% of the total turbulent transport resolved by the cloud radar system. The extended dataset is suitable for evaluating boundary layer parameterizations and testing large-eddy simulations (LESs) for a variety of surface and cloud conditions.

  17. 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

  18. Masked Areas in Shear Peak Statistics: A Forward Modeling Approach...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Masked Areas in Shear Peak Statistics: A Forward Modeling Approach Citation Details In-Document Search Title: Masked Areas in Shear Peak Statistics: A Forward ...

  19. Statistics Show Bearing Problems Cause the Majority of Wind Turbine...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Statistics Show Bearing Problems Cause the Majority of Wind Turbine Gearbox Failures Statistics Show Bearing Problems Cause the Majority of Wind Turbine Gearbox Failures September ...

  20. Environment/Health/Safety (EHS): Monthly Accident Statistics

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

    Personal Protective Equipment (PPE) Injury Review & Analysis Worker Safety and Health Program: PUB-3851 Monthly Accident Statistics Latest Accident Statistics Accident...

  1. RITA-Bureau of Transportation Statistics | Open Energy Information

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

    RITA-Bureau of Transportation Statistics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: RITA-Bureau of Transportation Statistics AgencyCompany Organization: United...

  2. Fact #602: December 21, 2009 Freight Statistics by Mode, 2007...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    21, 2009 Freight Statistics by Mode, 2007 Commodity Flow Survey Fact 602: December 21, 2009 Freight Statistics by Mode, 2007 Commodity Flow Survey Results from the 2007 Commodity ...

  3. FY 2014 Budget Request Statistical Table | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Statistical Table FY 2014 Budget Request Statistical Table PDF icon Stats Table FY2014.pdf More Documents & Publications FY 2009 Environmental Management Budget Request to Congress ...

  4. Statistical and Domain Analytics Applied to PV Module Lifetime...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Statistical and Domain Analytics Applied to PV Module Lifetime and Degradation Science Statistical and Domain Analytics Applied to PV Module Lifetime and Degradation Science ...

  5. ARM Climate Modeling Best Estimate Lamont, OK Statistical Summary...

    Office of Scientific and Technical Information (OSTI)

    Climate Modeling Best Estimate Lamont, OK Statistical Summary (ARMBE-CLDRAD SGPC1) Title: ARM Climate Modeling Best Estimate Lamont, OK Statistical Summary (ARMBE-CLDRAD SGPC1) ...

  6. Physics-based statistical learning approach to mesoscopic model...

    Office of Scientific and Technical Information (OSTI)

    Physics-based statistical learning approach to mesoscopic model selection Citation Details ... Title: Physics-based statistical learning approach to mesoscopic model selection Authors: ...

  7. New paradigms for the statistics profession

    SciTech Connect (OSTI)

    Iman, R.L.

    1995-02-01

    This paper is a presentation made in support of the statistics profession. This field can say it has had a major impact in most major fields of study presently undertaken by man, yet it is not perceived as an important, or critical field of study. It is not a growth field either, witness the almost level number of faculty and new PhD`s produced over the past twenty years. The author argues the profession must do a better job of selling itself to the students it educates. Awaken them to the impact of statistics in their lives and their business worlds, so that they see beyond the formulae to the application of these principles.

  8. Robust statistical reconstruction for charged particle tomography

    SciTech Connect (OSTI)

    Schultz, Larry Joe; Klimenko, Alexei Vasilievich; Fraser, Andrew Mcleod; Morris, Christopher; Orum, John Christopher; Borozdin, Konstantin N; Sossong, Michael James; Hengartner, Nicolas W

    2013-10-08

    Systems and methods for charged particle detection including statistical reconstruction of object volume scattering density profiles from charged particle tomographic data to determine the probability distribution of charged particle scattering using a statistical multiple scattering model and determine a substantially maximum likelihood estimate of object volume scattering density using expectation maximization (ML/EM) algorithm to reconstruct the object volume scattering density. The presence of and/or type of object occupying the volume of interest can be identified from the reconstructed volume scattering density profile. The charged particle tomographic data can be cosmic ray muon tomographic data from a muon tracker for scanning packages, containers, vehicles or cargo. The method can be implemented using a computer program which is executable on a computer.

  9. Statistical data of the uranium industry

    SciTech Connect (OSTI)

    1980-01-01

    This document is a compilation of historical facts and figures through 1979. These statistics are based primarily on information provided voluntarily by the uranium exploration, mining, and milling companies. The production, reserves, drilling, and production capability information has been reported in a manner which avoids disclosure of proprietary information. Only the totals for the $1.5 reserves are reported. Because of increased interest in higher cost resources for long range planning purposes, a section covering the distribution of $100 per pound reserves statistics has been newly included. A table of mill recovery ranges for the January 1, 1980 reserves has also been added to this year's edition. The section on domestic uranium production capability has been deleted this year but will be included next year. The January 1, 1980 potential resource estimates are unchanged from the January 1, 1979 estimates.

  10. Statistical approach to nuclear level density

    SciTech Connect (OSTI)

    Sen'kov, R. A.; Horoi, M.; Zelevinsky, V. G.

    2014-10-15

    We discuss the level density in a finite many-body system with strong interaction between the constituents. Our primary object of applications is the atomic nucleus but the same techniques can be applied to other mesoscopic systems. We calculate and compare nuclear level densities for given quantum numbers obtained by different methods, such as nuclear shell model (the most successful microscopic approach), our main instrument - moments method (statistical approach), and Fermi-gas model; the calculation with the moments method can use any shell-model Hamiltonian excluding the spurious states of the center-of-mass motion. Our goal is to investigate statistical properties of nuclear level density, define its phenomenological parameters, and offer an affordable and reliable way of calculation.

  11. Topological Cacti: Visualizing Contour-based Statistics

    SciTech Connect (OSTI)

    Weber, Gunther H.; Bremer, Peer-Timo; Pascucci, Valerio

    2011-05-26

    Contours, the connected components of level sets, play an important role in understanding the global structure of a scalar field. In particular their nestingbehavior and topology-often represented in form of a contour tree-have been used extensively for visualization and analysis. However, traditional contour trees onlyencode structural properties like number of contours or the nesting of contours, but little quantitative information such as volume or other statistics. Here we use thesegmentation implied by a contour tree to compute a large number of per-contour (interval) based statistics of both the function defining the contour tree as well asother co-located functions. We introduce a new visual metaphor for contour trees, called topological cacti, that extends the traditional toporrery display of acontour tree to display additional quantitative information as width of the cactus trunk and length of its spikes. We apply the new technique to scalar fields ofvarying dimension and different measures to demonstrate the effectiveness of the approach.

  12. Statistical data of the uranium industry

    SciTech Connect (OSTI)

    1981-01-01

    Data are presented on US uranium reserves, potential resources, exploration, mining, drilling, milling, and other activities of the uranium industry through 1980. The compendium reflects the basic programs of the Grand Junction Office. Statistics are based primarily on information provided by the uranium exploration, mining, and milling companies. Data on commercial U/sub 3/O/sub 8/ sales and purchases are included. Data on non-US uranium production and resources are presented in the appendix. (DMC)

  13. Thermal battery statistics and plotting programs

    SciTech Connect (OSTI)

    Scharrer, G.L.

    1990-04-01

    Thermal battery functional test data are stored in an HP3000 minicomputer operated by the Power Sources Department. A program was written to read data from a battery data base, compute simple statistics (mean, minimum, maximum, standard deviation, and K-factor), print out the results, and store the data in a file for subsequent plotting. A separate program was written to plot the data. The programs were written in the Pascal programming language. 1 tab.

  14. Workforce Statistics | National Nuclear Security Administration | (NNSA)

    National Nuclear Security Administration (NNSA)

    Workforce Statistics The Semi Annual Report provides age, disability, diversity, education, pay plan, retirement eligibility, years of service, and veteran's status data. The Year-End reports include the semi-annual information, as well as information on hires; separations; promotions; and historical data for those organization's where it is available, for five years. National Nuclear Security Administration Kansas City Field Office NA 1 - Immediate Office of the Administrator Livermore Field

  15. Statistical design of a uranium corrosion experiment

    SciTech Connect (OSTI)

    Wendelberger, Joanne R; Moore, Leslie M

    2009-01-01

    This work supports an experiment being conducted by Roland Schulze and Mary Ann Hill to study hydride formation, one of the most important forms of corrosion observed in uranium and uranium alloys. The study goals and objectives are described in Schulze and Hill (2008), and the work described here focuses on development of a statistical experiment plan being used for the study. The results of this study will contribute to the development of a uranium hydriding model for use in lifetime prediction models. A parametric study of the effect of hydrogen pressure, gap size and abrasion on hydride initiation and growth is being planned where results can be analyzed statistically to determine individual effects as well as multi-variable interactions. Input to ESC from this experiment will include expected hydride nucleation, size, distribution, and volume on various uranium surface situations (geometry) as a function of age. This study will also address the effect of hydrogen threshold pressure on corrosion nucleation and the effect of oxide abrasion/breach on hydriding processes. Statistical experiment plans provide for efficient collection of data that aids in understanding the impact of specific experiment factors on initiation and growth of corrosion. The experiment planning methods used here also allow for robust data collection accommodating other sources of variation such as the density of inclusions, assumed to vary linearly along the cast rods from which samples are obtained.

  16. Federal offshore statistics: leasing, exploration, production, revenue

    SciTech Connect (OSTI)

    Essertier, E.P.

    1984-09-01

    This publication is a numerical record of what has happened since Congress gave authority to the Secretary of the Interior in 1953 to lease the federal portion of the Continental Shelf for oil and gas. The publication updates and augments the first Federal Offshore Statistics, published in December 1983. It also extends a statistical series published annually from 1969 until 1981 by the US Geological Survey (USGS) under the title Outer Continental Shelf Statistics. The USGS collected royalties and supervised operation and production of minerals on the Outer Continental Shelf (OCS) until the Minerals Management Service (MMS) took over these functions in 1982. Some of the highlights are: of the 329.5 million acres offered for leasing, 37.1 million acres were actually leased; total revenues for the 1954 to 1983 period were $68,173,112,563 and for 1983 $9,161,435,540; a total of 22,095 wells were drilled in federal waters and 10,145 wells were drilled in state waters; from 1954 through 1983, federal offshore areas produced 6.4 billion barrels of oil and condensate, and 62.1 trillion cubic feet of natural gas; in 1983 alone production was 340.7 million barrels of oil and condensate, and 3.9 trillion cubic feet of gas; and for the second straight year, no oil was lost in 1983 as a result of blowouts in federal waters. 8 figures, 66 tables.

  17. 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

  18. 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

  19. 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,

  20. 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

  1. Research Highlight

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

    Climate models are intended to simulate the statistics of weather, rather than the actual ... can only be evaluated on how well they predict climate statistics over periods of years. ...

  2. Research Highlight

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

    Five-Year Statistics of Shallow Clouds at the ACRF SGP Site Download a printable PDF ... 2008. "Temporal variability of fair-weather cumulus statistics at the ARM SGP site." ...

  3. Weatherization Assistance Program - Background Data and Statistics

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred

    2010-03-01

    This technical memorandum is intended to provide readers with information that may be useful in understanding the purposes, performance, and outcomes of the Department of Energy's (DOE's) Weatherization Assistance Program (Weatherization). Weatherization has been in operation for over thirty years and is the nation's largest single residential energy efficiency program. Its primary purpose, established by law, is 'to increase the energy efficiency of dwellings owned or occupied by low-income persons, reduce their total residential energy expenditures, and improve their health and safety, especially low-income persons who are particularly vulnerable such as the elderly, the handicapped, and children.' The American Reinvestment and Recovery Act PL111-5 (ARRA), passed and signed into law in February 2009, committed $5 Billion over two years to an expanded Weatherization Assistance Program. This has created substantial interest in the program, the population it serves, the energy and cost savings it produces, and its cost-effectiveness. This memorandum is intended to address the need for this kind of information. Statistically valid answers to many of the questions surrounding Weatherization and its performance require comprehensive evaluation of the program. DOE is undertaking precisely this kind of independent evaluation in order to ascertain program effectiveness and to improve its performance. Results of this evaluation effort will begin to emerge in late 2010 and 2011, but they require substantial time and effort. In the meantime, the data and statistics in this memorandum can provide reasonable and transparent estimates of key program characteristics. The memorandum is laid out in three sections. The first deals with some key characteristics describing low-income energy consumption and expenditures. The second section provides estimates of energy savings and energy bill reductions that the program can reasonably be presumed to be producing. The third section

  4. Load research manual. Volume 1. Load research procedures

    SciTech Connect (OSTI)

    Brandenburg, L.; Clarkson, G.; Grund, Jr., C.; Leo, J.; Asbury, J.; Brandon-Brown, F.; Derderian, H.; Mueller, R.; Swaroop, R.

    1980-11-01

    This three-volume manual presents technical guidelines for electric utility load research. Special attention is given to issues raised by the load data reporting requirements of the Public Utility Regulatory Policies Act of 1978 and to problems faced by smaller utilities that are initiating load research programs. In Volumes 1 and 2, procedures are suggested for determining data requirements for load research, establishing the size and customer composition of a load survey sample, selecting and using equipment to record customer electricity usage, processing data tapes from the recording equipment, and analyzing the data. Statistical techniques used in customer sampling are discussed in detail. The costs of load research also are estimated, and ongoing load research programs at three utilities are described. The manual includes guides to load research literature and glossaries of load research and statistical terms.

  5. Statistical simulation ?of the magnetorotational dynamo

    SciTech Connect (OSTI)

    Squire, J.; Bhattacharjee, A.

    2014-08-01

    We analyze turbulence and dynamo induced by the magnetorotational instability (MRI) using quasi-linear statistical simulation methods. We find that homogenous turbulence is unstable to a large scale dynamo instability, which saturates to an inhomogenous equilibrium with a very strong dependence on the magnetic Prandtl number (Pm). Despite its enormously reduced nonlinearity, the quasi-linear model exhibits the same qualitative scaling of angular momentum transport with Pm as fully nonlinear turbulence. This demonstrates the relationship of recent convergence problems to the large scale dynamo and suggests possible methods for studying astrophysically relevant regimes at very low or high Pm.

  6. Statistical analysis of random duration times

    SciTech Connect (OSTI)

    Engelhardt, M.E.

    1996-04-01

    This report presents basic statistical methods for analyzing data obtained by observing random time durations. It gives nonparametric estimates of the cumulative distribution function, reliability function and cumulative hazard function. These results can be applied with either complete or censored data. Several models which are commonly used with time data are discussed, and methods for model checking and goodness-of-fit tests are discussed. Maximum likelihood estimates and confidence limits are given for the various models considered. Some results for situations where repeated durations such as repairable systems are also discussed.

  7. Research | Photovoltaic Research | NREL

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

    Research From photovoltaic (PV) materials to PV modules to PV systems, the National Center for Photovoltaics (NCPV) at the National Renewable Energy Laboratory (NREL) pursues ...

  8. Statistical mentoring at early training and career stages

    DOE PAGES-Beta [OSTI]

    Anderson-Cook, Christine M.; Hamada, Michael S.; Moore, Leslie M.; Wendelberger, Joanne R.

    2016-06-27

    At Los Alamos National Laboratory (LANL), statistical scientists develop solutions for a variety of national security challenges through scientific excellence, typically as members of interdisciplinary teams. At LANL, mentoring is actively encouraged and practiced to develop statistical skills and positive career-building behaviors. Mentoring activities targeted at different career phases from student to junior staff are an important catalyst for both short and long term career development. This article discusses mentoring strategies for undergraduate and graduate students through internships as well as for postdoctoral research associates and junior staff. Topics addressed include project selection, progress, and outcome; intellectual and social activitiesmore » that complement the student internship experience; key skills/knowledge not typically obtained in academic training; and the impact of such internships on students’ careers. Experiences and strategies from a number of successful mentorships are presented. Feedback from former mentees obtained via a questionnaire is incorporated. As a result, these responses address some of the benefits the respondents received from mentoring, helpful contributions and advice from their mentors, key skills learned, and how mentoring impacted their later careers.« less

  9. Statistical optimisation techniques in fatigue signal editing problem

    SciTech Connect (OSTI)

    Nopiah, Z. M.; Osman, M. H.; Baharin, N.; Abdullah, S.

    2015-02-03

    Success in fatigue signal editing is determined by the level of length reduction without compromising statistical constraints. A great reduction rate can be achieved by removing small amplitude cycles from the recorded signal. The long recorded signal sometimes renders the cycle-to-cycle editing process daunting. This has encouraged researchers to focus on the segment-based approach. This paper discusses joint application of the Running Damage Extraction (RDE) technique and single constrained Genetic Algorithm (GA) in fatigue signal editing optimisation.. In the first section, the RDE technique is used to restructure and summarise the fatigue strain. This technique combines the overlapping window and fatigue strain-life models. It is designed to identify and isolate the fatigue events that exist in the variable amplitude strain data into different segments whereby the retention of statistical parameters and the vibration energy are considered. In the second section, the fatigue data editing problem is formulated as a constrained single optimisation problem that can be solved using GA method. The GA produces the shortest edited fatigue signal by selecting appropriate segments from a pool of labelling segments. Challenges arise due to constraints on the segment selection by deviation level over three signal properties, namely cumulative fatigue damage, root mean square and kurtosis values. Experimental results over several case studies show that the idea of solving fatigue signal editing within a framework of optimisation is effective and automatic, and that the GA is robust for constrained segment selection.

  10. Kelly named Fellow of the American Statistical Association

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

    Kelly named ASA Fellow Kelly named Fellow of the American Statistical Association The American Statistical Association (ASA) has honored Elizabeth Kelly with the title of Fellow. August 2, 2016 Elizabeth Kelly Elizabeth Kelly Communications Office (505) 667-7000 Kelly is a member of the American Statistical Society and the American Society for Quality. The American Statistical Association (ASA) has honored Elizabeth Kelly of the Lab's Statistical Sciences group with the title of Fellow. The ASA

  11. 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.

  12. 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.

  13. Characterization of statistical prior image constrained compressed sensing (PICCS): II. Application to dose reduction

    SciTech Connect (OSTI)

    Lauzier, Pascal Theriault; Chen Guanghong

    2013-02-15

    Purpose: The ionizing radiation imparted to patients during computed tomography exams is raising concerns. This paper studies the performance of a scheme called dose reduction using prior image constrained compressed sensing (DR-PICCS). The purpose of this study is to characterize the effects of a statistical model of x-ray detection in the DR-PICCS framework and its impact on spatial resolution. Methods: Both numerical simulations with known ground truth and in vivo animal dataset were used in this study. In numerical simulations, a phantom was simulated with Poisson noise and with varying levels of eccentricity. Both the conventional filtered backprojection (FBP) and the PICCS algorithms were used to reconstruct images. In PICCS reconstructions, the prior image was generated using two different denoising methods: a simple Gaussian blur and a more advanced diffusion filter. Due to the lack of shift-invariance in nonlinear image reconstruction such as the one studied in this paper, the concept of local spatial resolution was used to study the sharpness of a reconstructed image. Specifically, a directional metric of image sharpness, the so-called pseudopoint spread function (pseudo-PSF), was employed to investigate local spatial resolution. Results: In the numerical studies, the pseudo-PSF was reduced from twice the voxel width in the prior image down to less than 1.1 times the voxel width in DR-PICCS reconstructions when the statistical model was not included. At the same noise level, when statistical weighting was used, the pseudo-PSF width in DR-PICCS reconstructed images varied between 1.5 and 0.75 times the voxel width depending on the direction along which it was measured. However, this anisotropy was largely eliminated when the prior image was generated using diffusion filtering; the pseudo-PSF width was reduced to below one voxel width in that case. In the in vivo study, a fourfold improvement in CNR was achieved while qualitatively maintaining sharpness

  14. Lectures on probability and statistics. Revision

    SciTech Connect (OSTI)

    Yost, G.P.

    1985-06-01

    These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. They begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probabilty of any specified outcome. They finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another. Hopefully, the reader will come away from these notes with a feel for some of the problems and uncertainties involved. Although there are standard approaches, most of the time there is no cut and dried ''best'' solution - ''best'' according to every criterion.

  15. International energy indicators. [Statistical tables and graphs

    SciTech Connect (OSTI)

    Bauer, E.K.

    1980-05-01

    International statistical tables and graphs are given for the following: (1) Iran - Crude Oil Capacity, Production and Shut-in, June 1974-April 1980; (2) Saudi Arabia - Crude Oil Capacity, Production, and Shut-in, March 1974-Apr 1980; (3) OPEC (Ex-Iran and Saudi Arabia) - Capacity, Production and Shut-in, June 1974-March 1980; (4) Non-OPEC Free World and US Production of Crude Oil, January 1973-February 1980; (5) Oil Stocks - Free World, US, Japan, and Europe (Landed, 1973-1st Quarter, 1980); (6) Petroleum Consumption by Industrial Countries, January 1973-December 1979; (7) USSR Crude Oil Production and Exports, January 1974-April 1980; and (8) Free World and US Nuclear Generation Capacity, January 1973-March 1980. Similar statistical tables and graphs included for the United States include: (1) Imports of Crude Oil and Products, January 1973-April 1980; (2) Landed Cost of Saudi Oil in Current and 1974 Dollars, April 1974-January 1980; (3) US Trade in Coal, January 1973-March 1980; (4) Summary of US Merchandise Trade, 1976-March 1980; and (5) US Energy/GNP Ratio, 1947 to 1979.

  16. International petroleum statistics report, September 1993

    SciTech Connect (OSTI)

    Not Available

    1993-09-28

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1980, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992. Data for the United States are developed by the Energy Information Administration (EIA) Office of Oil and Gas. Data for other countries are derived largely from published sources including International Energy Agency publications, the EIA International Energy Annual, and the trade press. (See sources after each section). All data are reviewed by the International Statistics Branch of EIA. All data have been converted to units of measurement familiar to the American public. Definitions of oil production and consumption are consistent with other EIA publications.

  17. International petroleum statistics report, July 1999

    SciTech Connect (OSTI)

    1999-07-01

    The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1990, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years and annually for the three years prior to that. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1998; OECD stocks from 1973 through 1998; and OECD trade from 1988 through 1998. 4 figs., 44 tabs.

  18. Statistics and geometry of cosmic voids

    SciTech Connect (OSTI)

    Gaite, Jos

    2009-11-01

    We introduce new statistical methods for the study of cosmic voids, focusing on the statistics of largest size voids. We distinguish three different types of distributions of voids, namely, Poisson-like, lognormal-like and Pareto-like distributions. The last two distributions are connected with two types of fractal geometry of the matter distribution. Scaling voids with Pareto distribution appear in fractal distributions with box-counting dimension smaller than three (its maximum value), whereas the lognormal void distribution corresponds to multifractals with box-counting dimension equal to three. Moreover, voids of the former type persist in the continuum limit, namely, as the number density of observable objects grows, giving rise to lacunar fractals, whereas voids of the latter type disappear in the continuum limit, giving rise to non-lacunar (multi)fractals. We propose both lacunar and non-lacunar multifractal models of the cosmic web structure of the Universe. A non-lacunar multifractal model is supported by current galaxy surveys as well as cosmological N-body simulations. This model suggests, in particular, that small dark matter halos and, arguably, faint galaxies are present in cosmic voids.

  19. International petroleum statistics report, March 1998

    SciTech Connect (OSTI)

    1998-03-01

    The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996.

  20. Statistical analysis of cascading failures in power grids

    SciTech Connect (OSTI)

    Chertkov, Michael; Pfitzner, Rene; Turitsyn, Konstantin

    2010-12-01

    We introduce a new microscopic model of cascading failures in transmission power grids. This model accounts for automatic response of the grid to load fluctuations that take place on the scale of minutes, when optimum power flow adjustments and load shedding controls are unavailable. We describe extreme events, caused by load fluctuations, which cause cascading failures of loads, generators and lines. Our model is quasi-static in the causal, discrete time and sequential resolution of individual failures. The model, in its simplest realization based on the Directed Current description of the power flow problem, is tested on three standard IEEE systems consisting of 30, 39 and 118 buses. Our statistical analysis suggests a straightforward classification of cascading and islanding phases in terms of the ratios between average number of removed loads, generators and links. The analysis also demonstrates sensitivity to variations in line capacities. Future research challenges in modeling and control of cascading outages over real-world power networks are discussed.

  1. 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.

  2. Statistics for nuclear engineers and scientists. Part 1. Basic statistical inference

    SciTech Connect (OSTI)

    Beggs, W.J.

    1981-02-01

    This report is intended for the use of engineers and scientists working in the nuclear industry, especially at the Bettis Atomic Power Laboratory. It serves as the basis for several Bettis in-house statistics courses. The objectives of the report are to introduce the reader to the language and concepts of statistics and to provide a basic set of techniques to apply to problems of the collection and analysis of data. Part 1 covers subjects of basic inference. The subjects include: descriptive statistics; probability; simple inference for normally distributed populations, and for non-normal populations as well; comparison of two populations; the analysis of variance; quality control procedures; and linear regression analysis.

  3. Statistical fingerprinting for malware detection and classification

    SciTech Connect (OSTI)

    Prowell, Stacy J.; Rathgeb, Christopher T.

    2015-09-15

    A system detects malware in a computing architecture with an unknown pedigree. The system includes a first computing device having a known pedigree and operating free of malware. The first computing device executes a series of instrumented functions that, when executed, provide a statistical baseline that is representative of the time it takes the software application to run on a computing device having a known pedigree. A second computing device executes a second series of instrumented functions that, when executed, provides an actual time that is representative of the time the known software application runs on the second computing device. The system detects malware when there is a difference in execution times between the first and the second computing devices.

  4. Statistical correlations in the Moshinsky atom

    SciTech Connect (OSTI)

    Laguna, H. G.; Sagar, R. P.

    2011-07-15

    We study the influence of the interparticle and confining potentials on statistical correlation via the correlation coefficient and mutual information in ground and some excited states of the Moshinsky atom in position and momentum space. The magnitude of the correlation between positions and between momenta is equal in the ground state. In excited states, the correlation between the momenta of the particles is greater than between their positions when they interact through an attractive potential whereas for repulsive interparticle potentials the opposite is true. Shannon entropies, and their sums (entropic formulations of the uncertainty principle), are also analyzed, showing that the one-particle entropy sum is dependent on the interparticle potential and thus able to detect the correlation between particles.

  5. International Petroleum Statistics Report, January 1994

    SciTech Connect (OSTI)

    Not Available

    1994-01-31

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992.

  6. International petroleum statistics report, November 1993

    SciTech Connect (OSTI)

    Not Available

    1993-11-26

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992: and OECD trade from 1982 through 1992.

  7. International petroleum statistics report, October 1997

    SciTech Connect (OSTI)

    1997-10-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996. 4 figs., 48 tabs.

  8. International Petroleum Statistics Report, July 1994

    SciTech Connect (OSTI)

    Not Available

    1994-07-26

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993. Data for the United States are developed by the Energy Information Administration`s (EIA) Office of Oil and Gas. Data for other countries are derived largely from published sources, including International Energy Agency publications, the EIA International Energy Annual, and the trade press. (See sources after each section.) All data are reviewed by the International Statistics Branch of EIA. All data have been converted to units of measurement familiar to the American public. Definitions of oil production and consumption are consistent with other EIA publications.

  9. Research Highlight

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

    small frozen rime droplets. (4) Monthly statistics of cloud and cloud liquid water ... Oceanic and Atmospheric Administration, the Department of Energy, and Environment Canada. ...

  10. Research Highlight

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

    change of Arctic climatic processes requires the use of sophisticated earth-system models. ... A combination of individual cases and long-term statistics are provided. Measurements ...

  11. 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}.

  12. Detailed Monthly and Annual LNG Import Statistics (2004-2012...

    Energy.gov (indexed) [DOE]

    Monthly and Annual LNG Import Statistics (2004-2012) Detailed Monthly and Annual LNG Import Statistics (2004-2012) (1.07 MB) More Documents & Publications U.S. LNG Imports and ...

  13. Transportation Research

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

    transportation-research TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Transportation Research Current Research Overview The U.S. Department of Transportation (USDOT) has established its only high-performance computing and engineering analysis research facility at Argonne National Laboratory to provide applications support in key areas of applied research and development for the USDOT community. The Transportation Research and

  14. 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.

  15. User Statistics | U.S. DOE Office of Science (SC)

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

    Statistics User Facilities User Facilities Home User Facilities at a Glance User Resources User Statistics By Institution By Project Data Archive User Statistics Collection Practices Policies and Processes Frequently Asked Questions User Facility Science Highlights User Facility News Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 User Statistics Print Text Size: A A A FeedbackShare Page The Office of Science

  16. EU Pocketbook - European Vehicle Market Statistics | Open Energy...

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

    - European Vehicle Market Statistics AgencyCompany Organization: International Council on Clean Transportation Website: eupocketbook.theicct.org Transport Toolkit...

  17. Development and testing of improved statistical wind power forecasting methods.

    SciTech Connect (OSTI)

    Mendes, J.; Bessa, R.J.; Keko, H.; Sumaili, J.; Miranda, V.; Ferreira, C.; Gama, J.; Botterud, A.; Zhou, Z.; Wang, J.

    2011-12-06

    Wind power forecasting (WPF) provides important inputs to power system operators and electricity market participants. It is therefore not surprising that WPF has attracted increasing interest within the electric power industry. In this report, we document our research on improving statistical WPF algorithms for point, uncertainty, and ramp forecasting. Below, we provide a brief introduction to the research presented in the following chapters. For a detailed overview of the state-of-the-art in wind power forecasting, we refer to [1]. Our related work on the application of WPF in operational decisions is documented in [2]. Point forecasts of wind power are highly dependent on the training criteria used in the statistical algorithms that are used to convert weather forecasts and observational data to a power forecast. In Chapter 2, we explore the application of information theoretic learning (ITL) as opposed to the classical minimum square error (MSE) criterion for point forecasting. In contrast to the MSE criterion, ITL criteria do not assume a Gaussian distribution of the forecasting errors. We investigate to what extent ITL criteria yield better results. In addition, we analyze time-adaptive training algorithms and how they enable WPF algorithms to cope with non-stationary data and, thus, to adapt to new situations without requiring additional offline training of the model. We test the new point forecasting algorithms on two wind farms located in the U.S. Midwest. Although there have been advancements in deterministic WPF, a single-valued forecast cannot provide information on the dispersion of observations around the predicted value. We argue that it is essential to generate, together with (or as an alternative to) point forecasts, a representation of the wind power uncertainty. Wind power uncertainty representation can take the form of probabilistic forecasts (e.g., probability density function, quantiles), risk indices (e.g., prediction risk index) or scenarios

  18. Research Gallery

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

    Research Gallery Research Gallery Exhibits in this gallery capture Laboratory's leading-edge research in many areas of science and technology to help solve national problems...

  19. International petroleum statistics report, August 1995

    SciTech Connect (OSTI)

    1995-08-25

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.

  20. International petroleum statistics report, August 1994

    SciTech Connect (OSTI)

    Not Available

    1994-08-26

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993.

  1. International petroleum statistics report, March 1995

    SciTech Connect (OSTI)

    1995-03-30

    The International Petroleum Statistics Report presents data for March 1995 on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993.

  2. International petroleum statistics report, November 1994

    SciTech Connect (OSTI)

    Not Available

    1994-11-25

    Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The International production, and on oil and stocks. The report has four sections. Section 1 contains time series data on world oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993.

  3. International petroleum statistics report, September 1995

    SciTech Connect (OSTI)

    1995-09-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994. 4 figs., 45 tabs.

  4. International petroleum statistics report, September 1994

    SciTech Connect (OSTI)

    Not Available

    1994-09-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (ECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993.

  5. International petroleum statistics report, October 1993

    SciTech Connect (OSTI)

    Not Available

    1993-10-27

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1980, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1982 through 1992.

  6. International petroleum statistics report, December 1993

    SciTech Connect (OSTI)

    Not Available

    1993-12-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992. 41 tabs.

  7. International petroleum statistics report, April 1994

    SciTech Connect (OSTI)

    Not Available

    1994-04-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1982 through 1992. 41 tables.

  8. International petroleum statistics report, February 1994

    SciTech Connect (OSTI)

    Not Available

    1994-02-28

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992.

  9. International petroleum statistics report, February 1997

    SciTech Connect (OSTI)

    1997-02-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995. 4 figs., 47 tabs.

  10. International petroleum statistics report, April 1999

    SciTech Connect (OSTI)

    1999-05-04

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance fore the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 48 tabs.

  11. International petroleum statistics report, March 1994

    SciTech Connect (OSTI)

    1994-03-28

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1992; OECD stocks from 1973 through 1992; and OECD trade from 1982 through 1992.

  12. International petroleum statistics report, September 1996

    SciTech Connect (OSTI)

    1996-09-27

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.

  13. International petroleum statistics report, May 1999

    SciTech Connect (OSTI)

    1999-05-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1990, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1998; OECD stocks from 1973 through 1998; and OECD trade from 1988 through 1998. 4 figs., 48 tabs.

  14. International petroleum statistics report, February 1999

    SciTech Connect (OSTI)

    1999-02-01

    The International petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970--1997; OECD stocks from 1973--1997; and OECD trade from 1987--1997.

  15. International petroleum statistics report, February 1996

    SciTech Connect (OSTI)

    1996-02-28

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.

  16. International petroleum statistics report, January 1999

    SciTech Connect (OSTI)

    1999-01-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  17. International petroleum statistics report, March 1999

    SciTech Connect (OSTI)

    1999-03-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1990, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years and annually for the three years prior to that. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarter data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 48 tabs.

  18. International petroleum statistics report, August 1998

    SciTech Connect (OSTI)

    1998-08-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 48 tabs.

  19. International petroleum statistics report, June 1997

    SciTech Connect (OSTI)

    1997-06-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996. 46 tabs.

  20. International petroleum statistics report, September 1998

    SciTech Connect (OSTI)

    1998-09-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  1. International petroleum statistics report, October 1998

    SciTech Connect (OSTI)

    1998-10-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  2. International petroleum statistics report, April 1997

    SciTech Connect (OSTI)

    1997-04-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995. 4 figs., 47 tabs.

  3. International petroleum statistics report, February 1998

    SciTech Connect (OSTI)

    1998-02-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996. 4 figs., 48 tabs.

  4. International petroleum statistics report, June 1998

    SciTech Connect (OSTI)

    1998-06-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 48 tabs.

  5. International petroleum statistics report, May 1998

    SciTech Connect (OSTI)

    1998-05-01

    The International Petroleum Statistics report is a monthly publication that provides current international oil data. It presents data on international production, demand, imports and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two year. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997, and OECD trade from 1987 through 1997. 4 fig., 48 tabs.

  6. International petroleum statistics report, November 1998

    SciTech Connect (OSTI)

    1998-11-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  7. International petroleum statistics report, June 1999

    SciTech Connect (OSTI)

    1999-06-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1990, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years and annually for the three years prior to that. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1998; OECD stocks from 1973 through 1998; and OECD trade from 1988 through 1998. 4 figs., 46 tabs.

  8. International petroleum statistics report, April 1998

    SciTech Connect (OSTI)

    1998-04-01

    The International Petroleum Statistics Report presents data on International oil production, demand, imports and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1986 through 1996. 4 figs., 46 tabs.

  9. International petroleum statistics report, December 1998

    SciTech Connect (OSTI)

    1998-12-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  10. International petroleum statistics report, July 1998

    SciTech Connect (OSTI)

    1998-07-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1997; OECD stocks from 1973 through 1997; and OECD trade from 1987 through 1997. 4 figs., 46 tabs.

  11. International petroleum statistics report, December 1997

    SciTech Connect (OSTI)

    1997-12-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. The balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996. 4 figs., 46 tabs.

  12. International petroleum statistics report, May 1995

    SciTech Connect (OSTI)

    1995-05-30

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1983 through 1993.

  13. Spatial Statistical Procedures to Validate Input Data in Energy Models

    SciTech Connect (OSTI)

    Johannesson, G.; Stewart, J.; Barr, C.; Brady Sabeff, L.; George, R.; Heimiller, D.; Milbrandt, A.

    2006-01-01

    Energy modeling and analysis often relies on data collected for other purposes such as census counts, atmospheric and air quality observations, economic trends, and other primarily non-energy related uses. Systematic collection of empirical data solely for regional, national, and global energy modeling has not been established as in the abovementioned fields. Empirical and modeled data relevant to energy modeling is reported and available at various spatial and temporal scales that might or might not be those needed and used by the energy modeling community. The incorrect representation of spatial and temporal components of these data sets can result in energy models producing misleading conclusions, especially in cases of newly evolving technologies with spatial and temporal operating characteristics different from the dominant fossil and nuclear technologies that powered the energy economy over the last two hundred years. Increased private and government research and development and public interest in alternative technologies that have a benign effect on the climate and the environment have spurred interest in wind, solar, hydrogen, and other alternative energy sources and energy carriers. Many of these technologies require much finer spatial and temporal detail to determine optimal engineering designs, resource availability, and market potential. This paper presents exploratory and modeling techniques in spatial statistics that can improve the usefulness of empirical and modeled data sets that do not initially meet the spatial and/or temporal requirements of energy models. In particular, we focus on (1) aggregation and disaggregation of spatial data, (2) predicting missing data, and (3) merging spatial data sets. In addition, we introduce relevant statistical software models commonly used in the field for various sizes and types of data sets.

  14. Lightweight and Statistical Techniques for Petascale PetaScale Debugging

    SciTech Connect (OSTI)

    Miller, Barton

    2014-06-30

    This project investigated novel techniques for debugging scientific applications on petascale architectures. In particular, we developed lightweight tools that narrow the problem space when bugs are encountered. We also developed techniques that either limit the number of tasks and the code regions to which a developer must apply a traditional debugger or that apply statistical techniques to provide direct suggestions of the location and type of error. We extend previous work on the Stack Trace Analysis Tool (STAT), that has already demonstrated scalability to over one hundred thousand MPI tasks. We also extended statistical techniques developed to isolate programming errors in widely used sequential or threaded applications in the Cooperative Bug Isolation (CBI) project to large scale parallel applications. Overall, our research substantially improved productivity on petascale platforms through a tool set for debugging that complements existing commercial tools. Previously, Office Of Science application developers relied either on primitive manual debugging techniques based on printf or they use tools, such as TotalView, that do not scale beyond a few thousand processors. However, bugs often arise at scale and substantial effort and computation cycles are wasted in either reproducing the problem in a smaller run that can be analyzed with the traditional tools or in repeated runs at scale that use the primitive techniques. New techniques that work at scale and automate the process of identifying the root cause of errors were needed. These techniques significantly reduced the time spent debugging petascale applications, thus leading to a greater overall amount of time for application scientists to pursue the scientific objectives for which the systems are purchased. We developed a new paradigm for debugging at scale: techniques that reduced the debugging scenario to a scale suitable for traditional debuggers, e.g., by narrowing the search for the root-cause analysis

  15. Statistical representation of clouds in climate models

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

    approach for representing ice microphysics in bin and bulk schemes: Application to TWP-ICE deep convection Hugh Morrison and Wojciech Grabowski National Center for Atmospheric Research ARM STM, Monday, April 1, 2009 -1) Uncertainty of ice initiation processes -2) Wide range of ice particle characteristics (e.g., shape, effective density) -3) No clear separation of physical processes for small and large crystals The treatment of ice microphysics has a large impact on model simulations, e.g.,

  16. DOE Scientific Research Data Now Easier to Find | OSTI, US Dept of Energy

    Office of Scientific and Technical Information (OSTI)

    Office of Scientific and Technical Information 20, 2011 DOE Scientific Research Data Now Easier to Find Oak Ridge, TN - Researchers funded by the U.S. Department of Energy (DOE) can now make their scientific research data easier to cite and easier to find from worldwide sources. The DOE Office of Scientific and Technical Information (OSTI) is now registering publicly available scientific research datasets created by DOE-funded researchers through DataCite. OSTI, within the Office of Science,

  17. DOE Scientific Research Data Now Easier to Find | OSTI, US Dept of Energy

    Office of Scientific and Technical Information (OSTI)

    Office of Scientific and Technical Information Scientific Research Data Now Easier to Find Back to the OSTI News Listing for 2011 Researchers funded by the U.S. Department of Energy (DOE) can now make their scientific research data easier to cite and easier to find from worldwide sources. The DOE Office of Scientific and Technical Information (OSTI) is now registering publicly available scientific research datasets created by DOE-funded researchers through DataCite. OSTI, within the Office

  18. Random paths and current fluctuations in nonequilibrium statistical mechanics

    SciTech Connect (OSTI)

    Gaspard, Pierre

    2014-07-15

    An overview is given of recent advances in nonequilibrium statistical mechanics about the statistics of random paths and current fluctuations. Although statistics is carried out in space for equilibrium statistical mechanics, statistics is considered in time or spacetime for nonequilibrium systems. In this approach, relationships have been established between nonequilibrium properties such as the transport coefficients, the thermodynamic entropy production, or the affinities, and quantities characterizing the microscopic Hamiltonian dynamics and the chaos or fluctuations it may generate. This overview presents results for classical systems in the escape-rate formalism, stochastic processes, and open quantum systems.

  19. Research Highlight

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

    Submitter: Area of Research: Journal Reference: N/A

  20. 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...

  1. Statistical theory of turbulent incompressible multimaterial flow

    SciTech Connect (OSTI)

    Kashiwa, B.

    1987-10-01

    Interpenetrating motion of incompressible materials is considered. ''Turbulence'' is defined as any deviation from the mean motion. Accordingly a nominally stationary fluid will exhibit turbulent fluctuations due to a single, slowly moving sphere. Mean conservation equations for interpenetrating materials in arbitrary proportions are derived using an ensemble averaging procedure, beginning with the exact equations of motion. The result is a set of conservation equations for the mean mass, momentum and fluctuational kinetic energy of each material. The equation system is at first unclosed due to integral terms involving unknown one-point and two-point probability distribution functions. In the mean momentum equation, the unclosed terms are clearly identified as representing two physical processes. One is transport of momentum by multimaterial Reynolds stresses, and the other is momentum exchange due to pressure fluctuations and viscous stress at material interfaces. Closure is approached by combining careful examination of multipoint statistical correlations with the traditional physical technique of kappa-epsilon modeling for single-material turbulence. This involves representing the multimaterial Reynolds stress for each material as a turbulent viscosity times the rate of strain based on the mean velocity of that material. The multimaterial turbulent viscosity is related to the fluctuational kinetic energy kappa, and the rate of fluctuational energy dissipation epsilon, for each material. Hence a set of kappa and epsilon equations must be solved, together with mean mass and momentum conservation equations, for each material. Both kappa and the turbulent viscosities enter into the momentum exchange force. The theory is applied to (a) calculation of the drag force on a sphere fixed in a uniform flow, (b) calculation of the settling rate in a suspension and (c) calculation of velocity profiles in the pneumatic transport of solid particles in a pipe.

  2. A Statistical Perspective on Highly Accelerated Testing.

    SciTech Connect (OSTI)

    Thomas, Edward V.

    2015-02-01

    Highly accelerated life testing has been heavily promoted at Sandia (and elsewhere) as a means to rapidly identify product weaknesses caused by flaws in the product's design or manufacturing process. During product development, a small number of units are forced to fail at high stress. The failed units are then examined to determine the root causes of failure. The identification of the root causes of product failures exposed by highly accelerated life testing can instigate changes to the product's design and/or manufacturing process that result in a product with increased reliability. It is widely viewed that this qualitative use of highly accelerated life testing (often associated with the acronym HALT) can be useful. However, highly accelerated life testing has also been proposed as a quantitative means for "demonstrating" the reliability of a product where unreliability is associated with loss of margin via an identified and dominating failure mechanism. It is assumed that the dominant failure mechanism can be accelerated by changing the level of a stress factor that is assumed to be related to the dominant failure mode. In extreme cases, a minimal number of units (often from a pre-production lot) are subjected to a single highly accelerated stress relative to normal use. If no (or, sufficiently few) units fail at this high stress level, some might claim that a certain level of reliability has been demonstrated (relative to normal use conditions). Underlying this claim are assumptions regarding the level of knowledge associated with the relationship between the stress level and the probability of failure. The primary purpose of this document is to discuss (from a statistical perspective) the efficacy of using accelerated life testing protocols (and, in particular, "highly accelerated" protocols) to make quantitative inferences concerning the performance of a product (e.g., reliability) when in fact there is lack-of-knowledge and uncertainty concerning the

  3. A Statistical Framework for Microbial Source Attribution

    SciTech Connect (OSTI)

    Velsko, S P; Allen, J E; Cunningham, C T

    2009-04-28

    This report presents a general approach to inferring transmission and source relationships among microbial isolates from their genetic sequences. The outbreak transmission graph (also called the transmission tree or transmission network) is the fundamental structure which determines the statistical distributions relevant to source attribution. The nodes of this graph are infected individuals or aggregated sub-populations of individuals in which transmitted bacteria or viruses undergo clonal expansion, leading to a genetically heterogeneous population. Each edge of the graph represents a transmission event in which one or a small number of bacteria or virions infects another node thus increasing the size of the transmission network. Recombination and re-assortment events originate in nodes which are common to two distinct networks. In order to calculate the probability that one node was infected by another, given the observed genetic sequences of microbial isolates sampled from them, we require two fundamental probability distributions. The first is the probability of obtaining the observed mutational differences between two isolates given that they are separated by M steps in a transmission network. The second is the probability that two nodes sampled randomly from an outbreak transmission network are separated by M transmission events. We show how these distributions can be obtained from the genetic sequences of isolates obtained by sampling from past outbreaks combined with data from contact tracing studies. Realistic examples are drawn from the SARS outbreak of 2003, the FMDV outbreak in Great Britain in 2001, and HIV transmission cases. The likelihood estimators derived in this report, and the underlying probability distribution functions required to calculate them possess certain compelling general properties in the context of microbial forensics. These include the ability to quantify the significance of a sequence 'match' or 'mismatch' between two isolates

  4. 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.

  5. 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.

  6. 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

  7. Design and performance of a scalable, parallel statistics toolkit.

    SciTech Connect (OSTI)

    Thompson, David C.; Bennett, Janine Camille; Pebay, Philippe Pierre

    2010-11-01

    Most statistical software packages implement a broad range of techniques but do so in an ad hoc fashion, leaving users who do not have a broad knowledge of statistics at a disadvantage since they may not understand all the implications of a given analysis or how to test the validity of results. These packages are also largely serial in nature, or target multicore architectures instead of distributed-memory systems, or provide only a small number of statistics in parallel. This paper surveys a collection of parallel implementations of statistics algorithm developed as part of a common framework over the last 3 years. The framework strategically groups modeling techniques with associated verification and validation techniques to make the underlying assumptions of the statistics more clear. Furthermore it employs a design pattern specifically targeted for distributed-memory parallelism, where architectural advances in large-scale high-performance computing have been focused. Moment-based statistics (which include descriptive, correlative, and multicorrelative statistics, principal component analysis (PCA), and k-means statistics) scale nearly linearly with the data set size and number of processes. Entropy-based statistics (which include order and contingency statistics) do not scale well when the data in question is continuous or quasi-diffuse but do scale well when the data is discrete and compact. We confirm and extend our earlier results by now establishing near-optimal scalability with up to 10,000 processes.

  8. The Ardross reservoir gridblock analogue: Sedimentology, statistical representivity, and flow upscaling

    SciTech Connect (OSTI)

    Ringrose, P.; Pickup, G.; Jensen, J.

    1997-08-01

    We have used a reservoir gridblock-sized outcrop (10m by 100m) of fluvio-deltaic sandstones to evaluate the importance of internal heterogeneity for a hypothetical waterflood displacement process. Using a dataset based on probe permeameter measurements taken from two vertical transacts representing {open_quotes}wells{close_quotes} (5cm sampling) and one {open_quotes}core{close_quotes} sample (exhaustive 1mm-spaced sampling), we evaluate the permeability variability at different lengthscales, the correlation characteristics (structure of the variogram, function), and larger-scale trends. We then relate these statistical measures to the sedimentology. We show how the sediment architecture influences the effective tensor permeability at the lamina and bed scale, and then calculate the effective relative permeability functions for a waterflood. We compare the degree of oil recovery from the formation: (a) using averaged borehole data and no geological structure, and (b) modelling the sediment architecture of the interwell volume using mixed stochastic/deterministic methods. We find that the sediment architecture has an important effect on flow performance, mainly due to bedscale capillary trapping and a consequent reduction in the effective oil mobility. The predicted oil recovery differs by 18% when these small-scale effects are included in the model. Traditional reservoir engineering methods, using averages permeability values, only prove acceptable in high-permeability and low-heterogeneity zones. The main outstanding challenge, represented by this illustration of sub-gridblock scale heterogeneity, is how to capture the relevant geological structure along with the inherent geo-statistical variability. An approach to this problem is proposed.

  9. Multiple-point statistical prediction on fracture networks at Yucca Mountain

    SciTech Connect (OSTI)

    Liu, X.Y; Zhang, C.Y.; Liu, Q.S.; Birkholzer, J.T.

    2009-05-01

    In many underground nuclear waste repository systems, such as at Yucca Mountain, water flow rate and amount of water seepage into the waste emplacement drifts are mainly determined by hydrological properties of fracture network in the surrounding rock mass. Natural fracture network system is not easy to describe, especially with respect to its connectivity which is critically important for simulating the water flow field. In this paper, we introduced a new method for fracture network description and prediction, termed multi-point-statistics (MPS). The process of the MPS method is to record multiple-point statistics concerning the connectivity patterns of a fracture network from a known fracture map, and to reproduce multiple-scale training fracture patterns in a stochastic manner, implicitly and directly. It is applied to fracture data to study flow field behavior at the Yucca Mountain waste repository system. First, the MPS method is used to create a fracture network with an original fracture training image from Yucca Mountain dataset. After we adopt a harmonic and arithmetic average method to upscale the permeability to a coarse grid, THM simulation is carried out to study near-field water flow in the surrounding waste emplacement drifts. Our study shows that connectivity or patterns of fracture networks can be grasped and reconstructed by MPS methods. In theory, it will lead to better prediction of fracture system characteristics and flow behavior. Meanwhile, we can obtain variance from flow field, which gives us a way to quantify model uncertainty even in complicated coupled THM simulations. It indicates that MPS can potentially characterize and reconstruct natural fracture networks in a fractured rock mass with advantages of quantifying connectivity of fracture system and its simulation uncertainty simultaneously.

  10. Research Highlight

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

    Journal Reference: Penide G, V Kumar, A Protat, and P May. 2013. "Statistics of drop size ... effect of the large-scale atmospheric environment on rainfall properties. "Our underlying ...

  11. Research Highlight

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

    Res. Ltr, Vol.31, L10106, doi:10.10292004GL019539. Composite statistics compare ARM measurements and ECMWF model-derived cloud properties of (a) base height, (b) cloud top height, ...

  12. Research Highlight

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

    It is possible, though, to test the degree to which a climate model reproduces the statistics of the present-day climate, and to expect that models that do a better job in today's ...

  13. Statistical Performance Evaluation Of Soft Seat Pressure Relief Valves

    SciTech Connect (OSTI)

    Harris, Stephen P.; Gross, Robert E.

    2013-03-26

    Risk-based inspection methods enable estimation of the probability of failure on demand for spring-operated pressure relief valves at the United States Department of Energy's Savannah River Site in Aiken, South Carolina. This paper presents a statistical performance evaluation of soft seat spring operated pressure relief valves. These pressure relief valves are typically smaller and of lower cost than hard seat (metal to metal) pressure relief valves and can provide substantial cost savings in fluid service applications (air, gas, liquid, and steam) providing that probability of failure on demand (the probability that the pressure relief valve fails to perform its intended safety function during a potentially dangerous over pressurization) is at least as good as that for hard seat valves. The research in this paper shows that the proportion of soft seat spring operated pressure relief valves failing is the same or less than that of hard seat valves, and that for failed valves, soft seat valves typically have failure ratios of proof test pressure to set pressure less than that of hard seat valves.

  14. Experimental uncertainty estimation and statistics for data having interval uncertainty.

    SciTech Connect (OSTI)

    Kreinovich, Vladik; Oberkampf, William Louis; Ginzburg, Lev; Ferson, Scott; Hajagos, Janos

    2007-05-01

    This report addresses the characterization of measurements that include epistemic uncertainties in the form of intervals. It reviews the application of basic descriptive statistics to data sets which contain intervals rather than exclusively point estimates. It describes algorithms to compute various means, the median and other percentiles, variance, interquartile range, moments, confidence limits, and other important statistics and summarizes the computability of these statistics as a function of sample size and characteristics of the intervals in the data (degree of overlap, size and regularity of widths, etc.). It also reviews the prospects for analyzing such data sets with the methods of inferential statistics such as outlier detection and regressions. The report explores the tradeoff between measurement precision and sample size in statistical results that are sensitive to both. It also argues that an approach based on interval statistics could be a reasonable alternative to current standard methods for evaluating, expressing and propagating measurement uncertainties.

  15. Nonlinearity sensing via photon-statistics excitation spectroscopy

    SciTech Connect (OSTI)

    Assmann, Marc; Bayer, Manfred

    2011-11-15

    We propose photon-statistics excitation spectroscopy as an adequate tool to describe the optical response of a nonlinear system. To this end we suggest to use optical excitation with varying photon statistics as another spectroscopic degree of freedom to gather information about the system in question. The responses of several simple model systems to excitation beams with different photon statistics are discussed. Possible spectroscopic applications in terms of identifying lasing operation are pointed out.

  16. Angular-momentum nonclassicality by breaking classical bounds on statistics

    SciTech Connect (OSTI)

    Luis, Alfredo; Rivas, Angel

    2011-10-15

    We derive simple practical procedures revealing the quantum behavior of angular momentum variables by the violation of classical upper bounds on the statistics. Data analysis is minimum and definite conclusions are obtained without evaluation of moments, or any other more sophisticated procedures. These nonclassical tests are very general and independent of other typical quantum signatures of nonclassical behavior such as sub-Poissonian statistics, squeezing, or oscillatory statistics, being insensitive to the nonclassical behavior displayed by other variables.

  17. Multivariate Statistical Analysis of Water Chemistry in Evaluating the

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Origin of Contamination in Many Devils Wash, Shiprock, New Mexico | Department of Energy Multivariate Statistical Analysis of Water Chemistry in Evaluating the Origin of Contamination in Many Devils Wash, Shiprock, New Mexico Multivariate Statistical Analysis of Water Chemistry in Evaluating the Origin of Contamination in Many Devils Wash, Shiprock, New Mexico Multivariate Statistical Analysis of Water Chemistry in Evaluating the Origin of Contamination in Many Devils Wash, Shiprock, New

  18. Robust Algorithm for Computing Statistical Stark Broadening of...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: Robust Algorithm for Computing Statistical ... Language: English Subject: 70 PLASMA PHYSICS AND FUSION; ACCURACY; ALGORITHMS; ...

  19. BP Statistical Review of World Energy | Open Energy Information

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

    OpenEI The BP Statistical Review of World Energy is an Excel spreadsheet which contains consumption and production data for Coal, Natural Gas, Nuclear, Oil, and Hydroelectric...

  20. STATISTICAL MECHANICS MODELING OF MESOSCALE DEFORMATION IN METALS...

    Office of Scientific and Technical Information (OSTI)

    STATISTICAL MECHANICS MODELING OF MESOSCALE DEFORMATION IN METALS Anter El-Azab 36 MATERIALS SCIENCE dislocation dynamics; mesoscale deformation of metals; crystal mechanics...

  1. A statistical perspective of validation and UQ (Conference) ...

    Office of Scientific and Technical Information (OSTI)

    Title: A statistical perspective of validation and UQ Authors: Higdon, David M 1 + Show Author Affiliations Los Alamos National Laboratory Los Alamos National Laboratory ...

  2. Doppler Lidar Vertical Velocity Statistics Value-Added Product...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: Doppler Lidar Vertical Velocity Statistics ... Facility operates coherent Doppler lidar systems at several sites around the globe. ...

  3. International Monetary Fund-Data and Statistics | Open Energy...

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

    "The IMF publishes a range of time series data on IMF lending, exchange rates and other economic and financial indicators. Manuals, guides, and other material on statistical...

  4. TITLE V-CONFIDENTIAL INFORMATION PROTECTION AND STATISTICAL EFFI...

    Gasoline and Diesel Fuel Update

    or maintain the systems for handling or storage of data received under this title; and ... data anomalies, produce statistical samples that are consistently adjusted for the ...

  5. UN-Glossary for Transportation Statistics | Open Energy Information

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

    Publications Website: www.internationaltransportforum.orgPubpdfGloStat3e.pdf Cost: Free UN-Glossary for Transportation Statistics Screenshot References: UN-Glossary for...

  6. Autocorrelation Function Statistics and Implication to Decay Ratio Estimation

    SciTech Connect (OSTI)

    March-Leuba, Jose A.

    2016-01-01

    This document summarizes the results of a series of computer simulations to attempt to identify the statistics of the autocorrelation function, and implications for decay ratio estimation.

  7. An overview of component qualification using Bayesian statistics...

    Office of Scientific and Technical Information (OSTI)

    Example problems with solutions have been supplied as a learning aid. Bold letters are ... COMPUTING, AND INFORMATION SCIENCE; LEARNING; STATISTICS; MATHEMATICS Word Cloud More ...

  8. Experimental and Statistical Comparison of Engine Response as...

    Office of Scientific and Technical Information (OSTI)

    Experimental and Statistical Comparison of Engine Response as a Function of Fuel Chemistry ... Engine Response as a Function of Fuel Chemistry and Properties in CI and HCCI Engines ...

  9. UNECE-Annual Bulletin of Transport Statistics for Europe and...

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

    Data covers Europe, Canada and the United States. This is a trilingual publication in English, French and Russian." "This annual publication presents statistics and brief studies...

  10. Appendix D: Statistical Methodology of Estimating Petroleum Exports...

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

    EIA previously used forecasts based on an autoregressive integrated moving-average (ARIMA) procedure to model weekly export statistics using U.S. Census Bureau (USCB) data. ...

  11. WHO Statistical Information System (WHOSIS) | Open Energy Information

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

    Classification of Diseases (ICD-10), International Classification of Impairments, Disabilities and Handicaps (ICIDH) Links to other sources of health-related statistical...

  12. MISR-Derived Statistics of Cumulus Geometry at TWP Site

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

    ... We found that the satellite-derived basic statistics are similar to those from ... New directions in earth observing: Scientific applications of multi-angle remote sensing. ...

  13. Research Highlights

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

    Highlights Form Submit a New Research Highlight Sort Highlights Submitter Title Research Area Working Group Submission Date DOE Progress Reports Notable Research Findings for 2001-2006 Office of Science Abstracts Database Research Highlights Summaries Research Highlights Members of ARM's science team are major contributors to radiation and cloud research. ARM investigators publish about 150 refereed journal articles per year, and ARM data are used in many studies published by other scientific

  14. Research Highlight

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

    a printable PDF Submitter: Schmid, B., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: ARM Climate Research...

  15. Research Projects

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

    Current Research Projects Joint Los Alamos National LaboratoryUCSD Research Projects Collaborations between Los Alamos National Laboratory and the University of California at San...

  16. Research Highlight

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

    Testing and Comparing the Modified Anomalous Diffraction Approximation Submitter: Mitchell, D. L., Desert Research Institute Area of Research: Cloud DistributionsCharacterizations...

  17. Research Highlight

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

    Fog and Rain in the Amazon For original submission and image(s), see ARM Research Highlights http:www.arm.govsciencehighlights Research Highlight The diurnal and seasonal...

  18. Research Highlight

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

    to Terrestrial Radiation Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Area of Research: General Circulation and Single Column Models...

  19. Infinite statistics condensate as a model of dark matter

    SciTech Connect (OSTI)

    Ebadi, Zahra; Mirza, Behrouz; Mohammadzadeh, Hosein E-mail: b.mirza@cc.iut.ac.ir

    2013-11-01

    In some models, dark matter is considered as a condensate bosonic system. In this paper, we prove that condensation is also possible for particles that obey infinite statistics and derive the critical condensation temperature. We argue that a condensed state of a gas of very weakly interacting particles obeying infinite statistics could be considered as a consistent model of dark matter.

  20. 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