Sample records for datasets browse upload

  1. FTP Upload Service

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

    this form you will receive a username and password that can be used to access an FTP server. You can use any FTP client to upload files. The target NERSC user will receive an...

  2. Upload Data - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtleCooperativeCROSS-VALIDATION OF SWERA's

  3. Uploading Syllabus in DigitalMeasures 1. Login to DigitalMeasures (http://www.depts.ttu.edu/opa/dmsr.php)

    E-Print Network [OSTI]

    Gelfond, Michael

    by saving your Word Document in PDF format) 8. Your syllabus will be uploaded upon "Save and Return File Browse 2. Syllabus is Saved by Clicking on "Save and Return" #12;

  4. How to batch upload video files with Unison How to batch upload video files with Unison

    E-Print Network [OSTI]

    Benos, Panayiotis "Takis"

    How to batch upload video files with Unison How to batch upload video files with Unison There are two different ways to upload already existing video files into Unison: Upload from the New Session page (only allows one video file to be uploaded at a time) Launching the editor in Composer (allows

  5. Elink Batch Upload Instructions | OSTI, US Dept of Energy, Office...

    Office of Scientific and Technical Information (OSTI)

    includes reporting for contract proposals, funding status, routine construction or inventory, and similar products. AN 241.1 Submission Options Batch Upload allows you to upload...

  6. EISA 432 CTS Data Upload Templates

    Broader source: Energy.gov [DOE]

    These generic Excel templates are available for Federal contractors and service providers to provide Federal clients with reports in the format agencies are required to use. Providing data in these templates will make it easy for agencies to upload your data into the EISA 432 Compliance Tracking System (CTS).

  7. Help:Uploading Files | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarms AHefei Sungrow PowersourceSubObjectsUploading

  8. How to upload a physical state to the correlation space

    E-Print Network [OSTI]

    Tomoyuki Morimae

    2010-10-22T23:59:59.000Z

    In the framework of the computational tensor network [D. Gross and J. Eisert, Phys. Rev. Lett. {\\bf98}, 220503 (2007)], the quantum computation is performed in a virtual linear space which is called the correlation space. It was recently shown [J. M. Cai, W, D\\"ur, M. Van den Nest, A. Miyake, and H. J. Briegel, Phys. Rev. Lett. {\\bf103}, 050503 (2009)] that a state in the correlation space can be downloaded to the real physical space. In this letter, conversely, we study how to upload a state from a real physical space to the correlation space being motivated by the virtual-real hybrid quantum information processing. After showing the impossibility of the cloning of a state between the real physical space and the correlation space, we propose a simple teleportation-like method of the upload. Applications of this method also enable the Gottesman-Chuang gate teleportation trick and the entanglement swapping in the virtual-real hybrid setting. Furthermore, compared with the inverse of the downloading method by Cai, et. al., which also works as the upload, our uploading method has several advantages.

  9. A Learning Apprentice For Browsing Robert C. Holte Chris Drummond

    E-Print Network [OSTI]

    Holte, Robert

    A Learning Apprentice For Browsing Robert C. Holte Chris Drummond Computer Science Department of browsing. The agent is a learning apprentice: it monitors the user's normal browsing actions and learns task for learning apprentice research. 1 THE BROWSING TASK "Browsing" is the searching of a computer

  10. Optimization Online - Search or Browse Submissions

    E-Print Network [OSTI]

    Search or Browse Optimization Online Submissions. Google Search. Enter your search terms: name of author(s), title, keywords, journal, etc. The Web

  11. Optimization Online - Search or Browse Submissions

    E-Print Network [OSTI]

    Enter your search terms: name of author(s), title, keywords, journal, etc. (Note: Our search engine reindexes the site only once a day). Browse the Digest Archive.

  12. To Upload Lesson Videos to the VAT Site: Getting to the Video Analysis of Teaching Homepage

    E-Print Network [OSTI]

    Qiu, Weigang

    1 To Upload Lesson Videos to the VAT Site: Getting to the Video Analysis of Teaching Students." In the navigation panel on the left, click on "Video Analysis of Teaching". The screen to the right is the VAT homepage. In order to upload or view the lesson video that you have

  13. Uploaded to academicaffairs.ucsf.edu 09/12 Sally J. Marshall, PhD

    E-Print Network [OSTI]

    Klein, Ophir

    Uploaded to academicaffairs.ucsf.edu 09/12 Sally J. Marshall, PhD Vice Provost Academic Affairs/514-0421 fax: 415/514-0200 email: sally.marshall@ucsf.edu School of Dentistry School of Medicine School

  14. myPublications: Searching and browsing v4 myPublications: Searching and browsing

    E-Print Network [OSTI]

    Oakley, Jeremy

    to conduct either a simple search or an advanced search. You can enter keywords and dates, and restrict searches You can save the terms used for a search of the database so that they can be used again without1 myPublications: Searching and browsing v4 myPublications: Searching and browsing Within my

  15. Review: The Secret War Between Downloading and Uploading: Tales of the Computer as a Culture Machine by Peter Lunenfeld

    E-Print Network [OSTI]

    Milbourn, Amanda

    2013-01-01T23:59:59.000Z

    The Secret War Between Downloading and Uploading: Tales ofISBN 9780262015479. In The Secret War Between Downloadingproduced cultural goods. The Secret War Between Downloading

  16. TweetBubble: A Twitter Extension Stimulates Exploratory Browsing

    E-Print Network [OSTI]

    Ajit Jain, -

    2014-11-14T23:59:59.000Z

    We extend the Twitter interface to stimulate exploratory browsing of social media and develop a method to establish its efficacy. In exploratory browsing, users seek and traverse diverse and novel information as they investigate a conceptual space...

  17. Bounding Peer-to-Peer Upload Traffic in Client Networks Chun-Ying Huang

    E-Print Network [OSTI]

    Chen, Sheng-Wei

    interest. However, as the amount of peer-to- peer traffic increases, a network administrator would like for such network traffic. Second, as any one can develop their own protocols, even if network administratorsBounding Peer-to-Peer Upload Traffic in Client Networks Chun-Ying Huang National Taiwan University

  18. Page 1 of 2 How to Upload Videos to YouTube

    E-Print Network [OSTI]

    Engel, Robert

    Page 1 of 2 How to Upload Videos to YouTube To submit a video to the event, you should make a 30-to-60-second video. You can use your cell phone, a video camera, your webcam, or other sources for your video. You can use various video editing programs to make your video, including iMovie (on Macs

  19. Computerworld Home > Browse Topics > Government > Story

    E-Print Network [OSTI]

    Simonson, Shai

    Computerworld Home > Browse Topics > Government > Story Feds planning early- warning system to develop a Global Early Warning Information System (GEWIS) to monitor the performance of the Internet expanded the mission of the NCS to include Page 1 of 3Feds planning early-warning system for Internet

  20. analysis browsing server: Topics by E-print Network

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

    SQL Server Books Online (link to source content) E-book Hunt, Galen 2 Understanding Web Browsing Behaviors through Weibull Analysis of Dwell Time Computer Technologies and...

  1. Browse Designations - DOE Directives, Delegations, and Requirements

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess Stories Siteand TechnicalBroadbhso/about/jobs/ BelowBrowse

  2. Concrete Browsing Of A Graphical Toolkit Library Denys Duchier

    E-Print Network [OSTI]

    Duchier, Denys

    Concrete Browsing Of A Graphical Toolkit Library Denys Duchier Department of Computer Science and promote reuse. This paper introduces Concrete Browsing as an improved method of consult- ing a graphical library, and Spreading Computation as novel paradigm for search and retrieval. A concrete browser allows

  3. Concrete Browsing Of A Graphical Toolkit Library Denys Duchier

    E-Print Network [OSTI]

    Duchier, Denys

    Concrete Browsing Of A Graphical Toolkit Library Denys Duchier Department of Computer Science and promote reuse. This paper introduces Concrete Browsing as an improved method of consult­ ing a graphical library, and Spreading Computation as novel paradigm for search and retrieval. A concrete browser allows

  4. Remote Book Browsing System using a Mobile Manipulator Tetsuo Tomizawa

    E-Print Network [OSTI]

    Ohya, Akihisa

    Remote Book Browsing System using a Mobile Manipulator Tetsuo Tomizawa , Akihisa Ohya and Shin manipu- lator as a teleoperated tool for accessing and manipulating remote objects, in our challenge in this research is to help humans browse books located in a library from a remote location via the Internet

  5. An immersive system for browsing and visualizing surveillance video

    E-Print Network [OSTI]

    DeCamp, Philip James

    HouseFly is an interactive data browsing and visualization system that synthesizes audio-visual recordings from multiple sensors, as well as the meta-data derived from those recordings, into a unified viewing experience. ...

  6. 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.

  7. 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.

  8. 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.

  9. GPS RINEX Files - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  10. Surprise Valley water geochmical data - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author Lawrence...

  11. Welcome - OpenEI Datasets

    Open Energy Info (EERE)

    Search for a topic or click on a statistic to dive into our datasets. This is a featured section Placeholder OpenEI Datasets statistics 1k datasets 2 organizations 0 related items...

  12. White-tailed Deer Browse Preferences for South Texas and the Edwards Plateau

    E-Print Network [OSTI]

    Wright, Byron D.; Lyons, Robert K.; Cooper, Susan; Cathey, James

    2003-01-06T23:59:59.000Z

    Used plants usually are protected from browsing by physical or chemical deterrents. For example, cedar has volatile oils (terpenes) that dis- courage browsing. Agarito has a physical defense; young leaves are tender and readily eaten, but mature agarito... on your property and their relative abundance. ? Monitor deer and livestock use of the dif- ferent categories of browse on your prop- erty. ? Manage for herbivore densities that prevent severe hedging or the disappearance of highly preferred browse species...

  13. Fast Browsing of Archived Web Contents Sangchul Song

    E-Print Network [OSTI]

    JaJa, Joseph F.

    and deep contents, web contents involve a wide variety of objects such as html pages, documents, multimediaFast Browsing of Archived Web Contents Sangchul Song Department of Electrical and Computer The web is becoming the preferred medium for communicating and storing information pertaining to almost

  14. ScentTrails: Integrating Browsing and Searching on the Web

    E-Print Network [OSTI]

    Chi, Ed Huai-hsin

    . Searching is the process of entering a search query (usually a list of keywords) into a search engine, which are more appropriately termed by Jul and Furnas [1997] as "search by navigation" and "search by query," respectively, but we will use the more common terms "browsing" and "searching.") Authors' addresses: Chris

  15. Sextant: Browsing and Mapping the Ocean of Linked Geospatial Data

    E-Print Network [OSTI]

    Koubarakis, Manolis

    Sextant: Browsing and Mapping the Ocean of Linked Geospatial Data Charalampos Nikolaou, Kallirroi {charnik,kallirroi,kkyzir,koubarak}@di.uoa.gr Abstract. Linked geospatial data has recently received available on the Web. With the rapid population of the Web of data with geospatial information, applications

  16. DBDOC: Querying and Browsing Databases and Interrelated Documents

    E-Print Network [OSTI]

    Ordonez, Carlos

    ]: Database Administra- tion--Data warehouse and repository General Terms Management, Documentation, Design 1 to describe this structured data. Managing semi- structured sources, such as documents, text files, web pagesDBDOC: Querying and Browsing Databases and Interrelated Documents Carlos Garcia-Alvarado University

  17. SynBrowse: A Synteny Browser for Comparative Sequence Analysis

    E-Print Network [OSTI]

    Brendel, Volker

    1 SynBrowse: A Synteny Browser for Comparative Sequence Analysis Xiaokang Pan * , Lincoln Stein published June 30, 2005 #12;Pan et al. 2005 2 ABSTRACT Motivation: The recent efforts of various sequence projects to sequence deeply into various phylogenies provide great resources for comparative sequence

  18. 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.

  19. Organizations - OpenEI Datasets

    Open Energy Info (EERE)

    ernateenergypromotioncentre Alternate Energy Promotion Centre 1 Dataset View Alternate Energy Promotion Centre alternativefuelsdatacenter Alternative Fuels Data Center 1...

  20. Continuum of consciousness: Mind uploading and resurrection of human consciousness. Is there a place for physics, neuroscience and computers?

    E-Print Network [OSTI]

    V. Astakhov

    2007-10-12T23:59:59.000Z

    In this paper, I perform mental experiment to analyze hypothetical process of mind uploading. That process suggested as a way to achieve resurrection of human consciousness. Mind uploading can be seen as a migration process of the core mental functions, which migrate from a human brain to an artificial environment. To simulate the process, I suggest a topological approach which is based on a formalism of information geometry. Geometrical formalism lets us simulate the toy mind as geometrical structures as well as gives us powerful geometrical and topological methods for analysis of the information system. This approach leads to the insight about using holographic model as an analogy for the mind migration to an artificial environment. This model represents the toy mind functionality in terms of information geometry (as a geometrical shape) on information manifold. Such shape can have distributed holographic representation. This representation gives us delocalized representation of the system. At the same time, the process of creating the holographic representation gives us a strategy to migrate from original to an artificial environment and back. The interface between brain and an environment is modeled as an entropy flow which is defined as a geometrical flow on information manifold. Such flow is an analogy of holography recording for the toy mind. The opposite process of holography reconstruction is modeled by none-local Hamiltonians defined on the information manifold.

  1. Buildings Performance Database - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    data. The platform enables users to perform statistical analysis on an anonymous dataset of tens of thousands of commercial and residential buildings from across the country....

  2. Massive Datasets in Astronomy

    E-Print Network [OSTI]

    Robert J. Brunner; S. George Djorgovski; Thomas A. Prince; Alex S. Szalay

    2001-06-26T23:59:59.000Z

    Astronomy has a long history of acquiring, systematizing, and interpreting large quantities of data. Starting from the earliest sky atlases through the first major photographic sky surveys of the 20th century, this tradition is continuing today, and at an ever increasing rate. Like many other fields, astronomy has become a very data-rich science, driven by the advances in telescope, detector, and computer technology. Numerous large digital sky surveys and archives already exist, with information content measured in multiple Terabytes, and even larger, multi-Petabyte data sets are on the horizon. Systematic observations of the sky, over a range of wavelengths, are becoming the primary source of astronomical data. Numerical simulations are also producing comparable volumes of information. Data mining promises to both make the scientific utilization of these data sets more effective and more complete, and to open completely new avenues of astronomical research. Technological problems range from the issues of database design and federation, to data mining and advanced visualization, leading to a new toolkit for astronomical research. This is similar to challenges encountered in other data-intensive fields today. These advances are now being organized through a concept of the Virtual Observatories, federations of data archives and services representing a new information infrastructure for astronomy of the 21st century. In this article, we provide an overview of some of the major datasets in astronomy, discuss different techniques used for archiving data, and conclude with a discussion of the future of massive datasets in astronomy.

  3. Browse by region (RaphaelSVGMap) | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation in CarbonofBiotinsBostonBridger Valley05411°,Browse by region

  4. Effective Browsing and Serendipitous Discovery with an Experience-Infused Browser

    E-Print Network [OSTI]

    Pratt, Vaughan

    Effective Browsing and Serendipitous Discovery with an Experience-Infused Browser Sudheendra Hangal explore how this recall can be leveraged during web browsing. We have built a system called the Experience-Infused, an experience-infused browser can enhance the effect of a user noticing personally relevant terms on a page

  5. Fast Clustering of Web Users Based on Browsing Patterns Yongjian Fu Kanwalpreet Sandhu Ming-Yi Shih

    E-Print Network [OSTI]

    Fu, Yongjian

    Fast Clustering of Web Users Based on Browsing Patterns Yongjian Fu Kanwalpreet Sandhu Ming-Yi Shih propose the clustering of the Web users based on patterns of their browsing activities on the Web. The browsing pattern of a Web user consists of the pages the user visited and the times spent on them

  6. Brady's Geothermal Field Seismic Network Metadata - Datasets...

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  7. BOX: Browsing Objects in XML Christian Nentwich, Wolfgang Emmerich, Anthony Finkelstein and Andrea Zisman

    E-Print Network [OSTI]

    Finkelstein, Anthony

    BOX: Browsing Objects in XML Christian Nentwich, Wolfgang Emmerich, Anthony Finkelstein and Andrea|W.Emmerich|A.Finkelstein|A.Zismang@cs.ucl.ac.uk Abstract The latest Internet markup languages

  8. FTP Upload Service

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental Assessments (EA) /EmailMolecularGE,OzoneContacts

  9. PoroTomo Subtask 3.5 GPS Data Analysis - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  10. Porotomo Subtask 3.4 Raw Data - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  11. 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.

  12. RESHAPING REMINISCENCE, WEB BROWSING AND WEB SEARCH USING PERSONAL DIGITAL ARCHIVES

    E-Print Network [OSTI]

    Straight, Aaron

    RESHAPING REMINISCENCE, WEB BROWSING AND WEB SEARCH USING PERSONAL DIGITAL ARCHIVES A DISSERTATION important examples of such applications. The first is an experience- infused web browser that annotates web studies find that this tech- nique is useful to personalize crowded web pages and to serendipitously s

  13. Browse > Journals> Smart Grid, IEEE Transactions ...> Top Accessed Articles 1. Smart Transmission Grid: Vision and Framework

    E-Print Network [OSTI]

    Tennessee, University of

    Browse > Journals> Smart Grid, IEEE Transactions ...> Top Accessed Articles 1. Smart Transmission.2080328 3. A Reliability Perspective of the Smart Grid Moslehi, K. Kumar, R. Page(s): 57 - 64 Digital Object Consumption Scheduling for the Future Smart Grid Mohsenian-Rad, A. Wong, V.W.S. Jatskevich, J. Schober, R

  14. Ruminal N degradation of browse and temperate forages, and partition of N into carbohydrates

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Ruminal N degradation of browse and temperate forages, and partition of N into carbohydrates B and acid- detergent-soluble and -insoluble portions may explain ruminal N degradability. Our objective was to examine the latter hypoth- esis. In the rumen the in situ N and cell wall N (NDFN, ADFN) degradability

  15. Improving the web browsing environment for dyslexics by elaborating the viewing and reading functionalities

    E-Print Network [OSTI]

    functionalities by R. Nagatsuma, S. Iizuka, M. Takizawa, T. Ohko, T. Wada, and T. Saito, IBM Abstract Dyslexia of people who experience dyslexia may be around 6-10% of the population. It varies from language to language for people with dyslexia when they are browsing the Web. In this paper, we investigate effective support

  16. Beyond Document Similarity: Understanding Value-Based Search and Browsing Technologies

    E-Print Network [OSTI]

    Cho, Junghoo "John"

    , and the enhancement of information browsing. Based on our survey and analysis, we then point to several open problems: 650-723-9684. Fax: 650-725-2588 This material is based upon work supported by the National Science screens. The arsenal of defenses against this problem has mostly been stocked with techniques from

  17. Visualization Fusion: Hurricane Isabel Dataset Naeem Shareef

    E-Print Network [OSTI]

    Crawfis, Roger

    Visualization Fusion: Hurricane Isabel Dataset Ming Jiang Naeem Shareef Caixia Zhang Roger Crawfis in developing visualization techniques for the Hurricane Isabel dataset is to engender better understand- ing of the underlying physical phenomenon. We want the visualization to produce novel insights into how a hurricane

  18. How to Upload Videos to YouTube To submit a video to the event, you should make a 30-to-60-second video. You can use your cell

    E-Print Network [OSTI]

    Engel, Robert

    How to Upload Videos to YouTube To submit a video to the event, you should make a 30-to-60-second video. You can use your cell phone, a video camera, your webcam, or other sources for your video. You can use various video editing programs to make your video, including iMovie (on Macs), Windows Live

  19. Gravity Survey of the Carson Sink - Data and Maps - Datasets...

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  20. A new bed elevation dataset for Greenland

    E-Print Network [OSTI]

    2013-01-01T23:59:59.000Z

    and bed data set for the Greenland ice sheet 1. Measure-bed elevation dataset for Greenland J. L. Bamber 1 , J. A.face mass balance of the Greenland ice sheet revealed by

  1. U.S. Life Cycle Inventory Database Dataset Additions -Type / Category Dataset Name

    E-Print Network [OSTI]

    U.S. Life Cycle Inventory Database Dataset Additions - Type / Category Dataset Name Chemical Manufacturing Polylactide Biopolymer Resin, at plant Chemical Manufacturing Recycled Postconsumer HDPE Pellet) Chemical Manufacturing Soy biodiesel, production, at plant Soy oil, refined, at plant Soy-based polyol

  2. Influence of herbage/browse allowance on nutritive intake of cattle grazing a Commiphora savannah in Kenya

    E-Print Network [OSTI]

    Mnene, William Ngoyawu

    1985-01-01T23:59:59.000Z

    INFLUENCE OF HERBAGE/BROWSE ALLOWANCE ON NUTRITIVE INTAKE OF CATTLE GRAZING A CDMMIMORA SAVANNAH IN KENYA A Thesis WILLIAN NGOYAWU NNENE Submitted to the Graduate College of Texas ASH L'niversity in pa, tial fulfillment of the requirement... . or ne degree of MASTER OF SCIENCF Oecemoer 19BS I'!a?'or Subject: Range Science INFLUENCE OF HERBAGE/BROWSE ALLOWANCE ON NUTRITIVE INTAKE OF CATTLE GRAZING A COMM1THORA SAVANNAH IN KENYA A Thesis by WILLIAM NGOYAWU MNENE Approved as to style...

  3. Angelique Diaz To Subject UPLOAD

    E-Print Network [OSTI]

    contamination may be at increased risk for health effects such as gout-like conditions. Individuals who do

  4. NREL EFM DATA: Disaggregated Residential Load Cost Data - Datasets...

    Open Energy Info (EERE)

    Open Data Catalog Dataset Activity Stream NREL EFM DATA: Disaggregated Residential Load Cost Data The following data-set is for a benchmark residential home for all TMY3 locations...

  5. Form:Dataset | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489Information HydroFontana,dataset name below to add to the

  6. World Net Nuclear Electric Power Generation, 1980-2007 - Datasets...

    Open Energy Info (EERE)

    U.S. Energy Information ... World Net Nuclear Electric ... Dataset Activity Stream World Net Nuclear Electric Power Generation, 1980-2007 International data showing world net...

  7. Framework for Interactive Parallel Dataset Analysis on the Grid

    SciTech Connect (OSTI)

    Alexander, David A.; Ananthan, Balamurali; /Tech-X Corp.; Johnson, Tony; Serbo, Victor; /SLAC

    2007-01-10T23:59:59.000Z

    We present a framework for use at a typical Grid site to facilitate custom interactive parallel dataset analysis targeting terabyte-scale datasets of the type typically produced by large multi-institutional science experiments. We summarize the needs for interactive analysis and show a prototype solution that satisfies those needs. The solution consists of desktop client tool and a set of Web Services that allow scientists to sign onto a Grid site, compose analysis script code to carry out physics analysis on datasets, distribute the code and datasets to worker nodes, collect the results back to the client, and to construct professional-quality visualizations of the results.

  8. PoroTomo Subtask 3.4 Analysis of existing InSAR data - Datasets...

    Open Energy Info (EERE)

    Relationship Dataset Dataset extent Map data OpenStreetMap contributors Tiles by MapQuest License Creative Commons Attribution 4.0 Open Data Author University of...

  9. NREL EFM DATA: Disaggregated Residential Load Cost Data - Datasets...

    Open Energy Info (EERE)

    NREL EFM DATA: Disaggregated Residential Load Cost Data The following data-set is for a benchmark residential home for all TMY3 locations across all utilities in the US. The data...

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

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

    50-47676 March 2010 Development of Regional Wind Resource and Wind Plant Output Datasets Final Subcontract Report 15 October 2007 - 15 March 2009 3TIER Seattle, Washington National...

  11. State Energy Data System (SEDS) Complete Dataset through 2009...

    Open Energy Info (EERE)

    State Energy Data System (SEDS) Complete Dataset through 2009 The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a...

  12. Determining Mountaintop Mining Locations in West Virginia Using Elevation Datasets

    E-Print Network [OSTI]

    Rowland, Danny

    2009-11-18T23:59:59.000Z

    Determining Mountaintop Mining Locations in West Virginia Using Elevation Datasets Danny Rowland Haskell Indian Nations University Image from: http://www.colorado.edu/geography/cartpro/cartography2/spring2006/syphers.../projects/westvirginia/whatis.htm Image from: http://washingtonindependent.com/49008/congress-takes-on-mountaintop-mining Mountaintop Mining Operation 2 Elevation datasets: NED & SRTM West Virginia NED SRTM Elevation Change Over ~30 Year Period 20021970’s SRTM Subtracted from...

  13. Bayesian evidence as a tool for comparing datasets

    E-Print Network [OSTI]

    Phil Marshall; Nutan Rajguru; Anze Slosar

    2007-10-30T23:59:59.000Z

    We introduce a new conservative test for quantifying the consistency of two or more datasets. The test is based on the Bayesian answer to the question, ``How much more probable is it that all my data were generated from the same model system than if each dataset were generated from an independent set of model parameters?''. We make explicit the connection between evidence ratios and the differences in peak chi-squared values, the latter of which are more widely used and more cheaply calculated. Calculating evidence ratios for three cosmological datasets (recent CMB data (WMAP, ACBAR, CBI, VSA), SDSS and the most recent SNe Type 1A data) we find that concordance is favoured and the tightening of constraints on cosmological parameters is indeed justified.

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

    SciTech Connect (OSTI)

    Caroline Draxl: NREL

    2014-01-01T23:59:59.000Z

    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.

  15. zeller-aps2011-upload.ppt

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development1U CO1) 1 WinterModerate.. %NuInt09, path

  16. zeller-panic2011-upload.ppt

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development1U CO1) 1 WinterModerate..NO-VE

  17. zeller-sbl2011-upload.ppt

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development1U CO1) 1 WinterModerate..NO-VEZeller,SBL

  18. UTILITY Submit to BPA: Upload Template

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin TransitionProgram |Frank CasellaEnergy Workforce ofFred Strohl

  19. DECOMPOSITION OF MULTIVARIATE DATASETS WITH STRUCTURE/ORDERING

    E-Print Network [OSTI]

    analysis. However, contrary to Fourier decomposition these new variables are located in frequency as well as location (space, time, wavelength etc). 1 Introduction The maximum autocorrelation factor (MAF) analysisDECOMPOSITION OF MULTIVARIATE DATASETS WITH STRUCTURE/ORDERING OF OBSERVATIONS OR VARIABLES USING

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

    SciTech Connect (OSTI)

    Hummon, M.

    2014-04-01T23:59:59.000Z

    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.

  1. A Multivariate Probabilistic Method for Comparing Two Clinical Datasets

    E-Print Network [OSTI]

    Hauskrecht, Milos

    A Multivariate Probabilistic Method for Comparing Two Clinical Datasets Yuriy Sverchkov yus24@pitt a concise and math- ematically grounded description of multivariate differences between a pair of clinical (ICUs), or within the same ICU during different periods, may show systematically different outcomes

  2. Organic aerosol components observed in Northern Hemispheric datasets from Aerosol Mass Spectrometry

    E-Print Network [OSTI]

    Kroll, Jesse

    In this study we compile and present results from the factor analysis of 43 Aerosol Mass Spectrometer (AMS) datasets (27 of the datasets are reanalyzed in this work). The components from all sites, when taken together, ...

  3. DEVise: Integrated Querying and Visual Exploration of Large Datasets (DEMO ABSTRACT)

    E-Print Network [OSTI]

    Liblit, Ben

    DEVise: Integrated Querying and Visual Exploration of Large Datasets (DEMO ABSTRACT) M. Livny, R of large tabular datasets (possibly containing or referencing multi­ media objects) from several sources meta­data summarizing the entire dataset, to large subsets of the actual data, to individual data

  4. 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.

  5. Filtergraph: An Interactive Web Application for Visualization of Astronomy Datasets

    E-Print Network [OSTI]

    Burger, Dan; Pepper, Joshua; Siverd, Robert J; Paegert, Martin; De Lee, Nathan M

    2013-01-01T23:59:59.000Z

    Filtergraph is a web application being developed and maintained by the Vanderbilt Initiative in Data-intensive Astrophysics (VIDA) to flexibly and rapidly visualize a large variety of astronomy datasets of various formats and sizes. The user loads a flat-file dataset into Filtergraph which automatically generates an interactive data portal that can be easily shared with others. From this portal, the user can immediately generate scatter plots of up to 5 dimensions as well as histograms and tables based on the dataset. Key features of the portal include intuitive controls with auto-completed variable names, the ability to filter the data in real time through user-specified criteria, the ability to select data by dragging on the screen, and the ability to perform arithmetic operations on the data in real time. To enable seamless data visualization and exploration, changes are quickly rendered on screen and visualizations can be exported as high quality graphics files. The application is optimized for speed in t...

  6. Parton distributions based on a maximally consistent dataset

    E-Print Network [OSTI]

    Juan Rojo

    2014-09-10T23:59:59.000Z

    The choice of data that enters a global QCD analysis can have a substantial impact on the resulting parton distributions and their predictions for collider observables. One of the main reasons for this has to do with the possible presence of inconsistencies, either internal within an experiment or external between different experiments. In order to assess the robustness of the global fit, different definitions of a conservative PDF set, that is, a PDF set based on a maximally consistent dataset, have been introduced. However, these approaches are typically affected by theory biases in the selection of the dataset. In this contribution, after a brief overview of recent NNPDF developments, we propose a new, fully objective, definition of a conservative PDF set, based on the Bayesian reweighting approach. Using the new NNPDF3.0 framework, we produce various conservative sets, which turn out to be mutually in agreement within the respective PDF uncertainties, as well as with the global fit. We explore some of their implications for LHC phenomenology, finding also good consistency with the global fit result. These results provide a non-trivial validation test of the new NNPDF3.0 fitting methodology, and indicate that possible inconsistencies in the fitted dataset do not affect substantially the global fit PDFs.

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

    Broader source: Energy.gov [DOE]

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

  8. Constructing Collaborative Desktop Storage Caches for Large Scientific Datasets

    SciTech Connect (OSTI)

    Vazhkudai, Sudharshan S [ORNL; Ma, Xiaosong [ORNL; Freeh, Vincent W [ORNL; Strickland, Jonathan W [ORNL; Tammineedi, Nandan [ORNL; Simon, Tyler A [ORNL; Scott, Stephen L [ORNL

    2006-08-01T23:59:59.000Z

    High-end computing is suffering a data deluge from experiments, simulations, and apparatus that creates overwhelming application dataset sizes. This has led to the proliferation of high-end mass storage systems, storage area clusters, and data centers. These storage facilities offer a large range of choices in terms of capacity and access rate, as well as strong data availability and consistency support. However, for most end-users, the "last mile" in their analysis pipeline often requires data processing and visualization at local computers, typically local desktop workstations. End-user workstations-despite having more processing power than ever before-are ill-equipped to cope with such data demands due to insufficient secondary storage space and I/O rates. Meanwhile, a large portion of desktop storage is unused. We propose the FreeLoader framework, which aggregates unused desktop storage space and I/O bandwidth into a shared cache/scratch space, for hosting large, immutable datasets and exploiting data access locality. This article presents the FreeLoader architecture, component design, and performance results based on our proof-of-concept prototype. Its architecture comprises contributing benefactor nodes, steered by a management layer, providing services such as data integrity, high performance, load balancing, and impact control. Our experiments show that FreeLoader is an appealing low-cost solution to storing massive datasets by delivering higher data access ratesthan traditional storage facilities, namely, local or remote shared file systems, storage systems, and Internet data repositories. In particular, we present novel data striping techniques that allow FreeLoader to efficiently aggregate a workstation's network communication bandwidth and local I/O bandwidth. In addition, the performance impact on the native workload of donor machines is small and can be effectively controlled. Further, we show that security features such as data encryptions and integrity checks can be easily added as filters for interested clients. Finally, we demonstrate how legacy applications can use the FreeLoader API to store and retrieve datasets.

  9. Afghanistan Pakistan High Resolution Wind Resource - Datasets - OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEE JumpAeroWind Inc. Place:AerospatialeAffton,Datasets

  10. ComSIS Vol. 1, No. 1, February 2004 75 Network Models of Massive Datasets

    E-Print Network [OSTI]

    Butenko, Sergiy

    , biotechnology, medicine, finance, astrophysics, ecology, geographical information systems, etc. [2, 10 in data mining, which essentially represents partitioning the set of elements of a certain dataset

  11. Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets

    E-Print Network [OSTI]

    Ho, Hsiang; Milenkovi?, Tijana; Memiševi?, Vesna; Aruri, Jayavani; Pržulj, Nataša; Ganesan, Anand K

    2010-01-01T23:59:59.000Z

    components within functional genomics datasets BMC SystemssiRNA-based functional genomics of pigmentation identifiesrelated functional genomics data. J R Soc Interface Motulsky

  12. 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

  13. 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

  14. Parallel Processing of Large Datasets from NanoLC-FTICR-MS Measurements

    E-Print Network [OSTI]

    van Nieuwpoort, Rob V.

    for these biomarkers Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) is a powerful tool becauseParallel Processing of Large Datasets from NanoLC-FTICR-MS Measurements Y. E. M. van der Burgt, I parallel processing of large mass spectral datasets in a distributed computing environment is demonstrated

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

    SciTech Connect (OSTI)

    Howison, Mark

    2010-05-06T23:59:59.000Z

    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. Decentralized K-means using randomized Gossip protocols for clustering large datasets

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Decentralized K-means using randomized Gossip protocols for clustering large datasets Jerome Fellus datasets distributed over a network of computational units using a decentralized K-means algorithm with a centralized K-means, provided a bound on the number of messages each node has to send is met. We provide

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

  4. Spatial Clustering of Galaxies in Large Datasets Alexander S. Szalay, Department of Physics and Astronomy, Johns Hopkins University

    E-Print Network [OSTI]

    Narasayya, Vivek

    surveys using the Karhunen-Loeve transform as a case study. These large, homogenous datasets are alsoSpatial Clustering of Galaxies in Large Datasets Alexander S. Szalay, Department of Physics Microsoft Way Redmond, WA 98052 #12;Spatial Clustering of Galaxies in Large Datasets Alexander S. Szalaya

  5. The solar rotation rate from inversion of the first GONG datasets T. Corbard 1 , G. Berthomieu 1 , J. Provost 1

    E-Print Network [OSTI]

    Corbard, Thierry

    The solar rotation rate from inversion of the first GONG datasets T. Corbard 1 , G. Berthomieu 1 gives some results obtained by inverting the first GONG datasets for the rotational splittings of the so called averaging kernels Ÿ(r 0 ; ¯ 0 ; r; ¯) defined in Corbard et al. (1996). 2. GONG datasets

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

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

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

  7. New ORNL, N.C. State, LanzaTech DNA dataset is potent, accessible...

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

    Ron Walli Communications 865.576.0226 New ORNL, N.C. State, LanzaTech DNA dataset is potent, accessible tool Dawn Klingeman of Oak Ridge National Laboratory's Biosciences Division...

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    SciTech Connect (OSTI)

    3TIER, Seattle, Washington

    2010-03-01T23:59:59.000Z

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

  15. OpenEI: Datasets in the OpenEnergyInfo Data Repository

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

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

  16. 5D-ODETLAP: A NOVEL FIVE-DIMENSIONAL COMPRESSION METHOD ON TIME-VARYING MULTIVARIABLE GEOSPATIAL DATASET

    E-Print Network [OSTI]

    Franklin, W. Randolph

    5D-ODETLAP: A NOVEL FIVE-DIMENSIONAL COMPRESSION METHOD ON TIME-VARYING MULTIVARIABLE GEOSPATIAL dimensional (5D) geospatial dataset consists of several multivariable 4D datasets, which are sequences of time technique for 5D geospatial data as a whole, instead of applying 3D compression method on each 3D slice

  17. Stumbl: Using Facebook to Collect Rich Datasets for Opportunistic Networking Research

    E-Print Network [OSTI]

    Gesbert, David

    Stumbl: Using Facebook to Collect Rich Datasets for Opportunistic Networking Research Theus, mobility and communication ties. Stumbl is a Facebook application that provides participating users with a user-friendly interface to report their daily face-to-face meetings with other Facebook friends

  18. Sensing the Air We Breathe the OpenSense Zurich Dataset Jason Jingshi Li1

    E-Print Network [OSTI]

    Dalang, Robert C.

    pollution is a signifi- cant challenge for the sustainability of our environment. We quickly survey the air pollution modeling problem, introduce a new dataset of mobile air quality measurements in Zurich, and discuss the challenges of making sense of these data. Introduction Urban outdoor air pollution currently

  19. Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets Tomasz Stepinski

    E-Print Network [OSTI]

    Ding, Wei

    Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets Wei Ding Tomasz. Several geospatial feature vari- ables are fused together, and the vector of their values at each spatial cell is considered as a transaction to be used in association analysis. The concept of emerging

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

    SciTech Connect (OSTI)

    Giancardo, Luca [ORNL; Meriaudeau, Fabrice [ORNL; Karnowski, Thomas Paul [ORNL; Li, Yaquin [University of Tennessee, Knoxville (UTK); Garg, Seema [University of North Carolina; Tobin Jr, Kenneth William [ORNL; Chaum, Edward [University of Tennessee, Knoxville (UTK)

    2011-01-01T23:59:59.000Z

    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.

  1. A Common UniversityA Common University Dataset for Canada (CUDC)

    E-Print Network [OSTI]

    Garousi, Vahid

    extent of consensus among templates evaluate suitability of Canadian Undergraduate Survey Consortium survey items in current common university dataset templates #12;11/18/2008 6 May 2008: Steering Group and principles consensus template coordination of student surveys NSSE: improving the survey and how it is used

  2. Investigating Gait Recognition in the Short-Wave Infrared (SWIR) Spectrum: Dataset and Challenges

    E-Print Network [OSTI]

    Ross, Arun Abraham

    Investigating Gait Recognition in the Short-Wave Infrared (SWIR) Spectrum: Dataset and Challenges that can confound recognition accuracy. In the context of automated human gait recognition, evaluation has literature has explored recognition in the passive thermal band. The advent of sophisticated sensors has

  3. SOIL MOISTURE CHARACTERIZATION USING MULTI-ANGULAR POLARIMETRIC RADARSAT-2 DATASETS

    E-Print Network [OSTI]

    Boyer, Edmond

    SOIL MOISTURE CHARACTERIZATION USING MULTI-ANGULAR POLARIMETRIC RADARSAT-2 DATASETS Hongquan Wang to be a solution to improve the effectiveness of bare soil char- acterization. However, the potential single and multiple incidence angle acquisitions is investigated against in situ soil moisture

  4. Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets

    E-Print Network [OSTI]

    Grossman, Robert

    Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets Allison P Heath,1 Megan E McNerney,1,2 Kevin P White,1,3,4 Robert L Grossman1,3,5 1 Institute for Genomics and Systems petabyte-scale cloud- based computing platforms containing these data, along with tools and resources

  5. Analyzing Massive Astrophysical Datasets: Can Pig/Hadoop or a Relational DBMS Help?

    E-Print Network [OSTI]

    Anderson, Richard

    Analyzing Massive Astrophysical Datasets: Can Pig/Hadoop or a Relational DBMS Help? Sarah Loebman1 distributed DBMS and in the Pig/Hadoop system. We compare the performance of the tools to each other of subatomic particles to the evolution of the universe. These simulations produce an ever more massive amount

  6. test dataset - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin: EnergyWyandanch,Eaga SolarZoloHomeimprovesecurity Hometest

  7. EISA 432 Compliance Tracking System Data Upload Templates | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised FindingDepartmentDepartmentStatement |DepartmentEnergy EISA 432

  8. Empty values in upload? | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazel Crest,Energy InformationEmily,Empower Energy Technology Jump

  9. Tips & Tricks for Uploading Images with Research Highlights

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003 (NextTime-Resolved Study91 to

  10. Image upload with broken thumbnail image | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup | OpenHunan Runhua New EnergyIT Power

  11. Error 401 on upload? | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLCInsulation Incentives

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

    Broader source: Energy.gov [DOE]

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

  13. Browse the archive Show summaries

    E-Print Network [OSTI]

    - China, the European Union (EU), Japan, Russia, South Korea and the US - at a ministerial meeting to be a safe and sustainable source of energy that does not produce any greenhouse-gas emissions or long-lived nuclear waste. A fusion reactor would need just 100 grams of deuterium and 3 tons of natural lithium

  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.

    2013-10-01T23:59:59.000Z

    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. Production of BaBar Skimmed Analysis Datasets Using the Grid

    SciTech Connect (OSTI)

    Brew, C.A.J.; /Rutherford; Wilson, F.F.; /Rutherford; Castelli, G.; /Rutherford; Adye, T.; /Rutherford; Roethel, W.; /Rutherford; Luppi, E.; /INFN, Ferrara; Andreotti, D.; /INFN, Ferrara; Smith, D.; /SLAC; Khan, A.; /Brunel U.; Barrett, M.; /Brunel U.; Barlow, R.; /Manchester U.; Bailey, D.; /Manchester U.

    2011-11-10T23:59:59.000Z

    The BABAR Collaboration, based at Stanford Linear Accelerator Center (SLAC), Stanford, US, has been performing physics reconstruction, simulation studies and data analysis for 8 years using a number of compute farms around the world. Recent developments in Grid technologies could provide a way to manage the distributed resources in a single coherent structure. We describe enhancements to the BABAR experiment's distributed skimmed dataset production system to make use of European Grid resources and present the results with regard to BABAR's latest cycle of skimmed dataset production. We compare the benefits of a local and Grid-based systems, the ease with which the system is managed and the challenges of integrating the Grid with legacy software. We compare job success rates and manageability issues between Grid and non-Grid production.

  16. Integrative analysis of transcriptomic and proteomic data of Shewanella oneidensis: missing value imputation using temporal datasets

    SciTech Connect (OSTI)

    Torres-García, Wandaliz [Arizona State University; Brown, Steven D [ORNL; Johnson, Roger [Arizona State University; Zhang, Weiwen [Arizona State University; Runger, George [Arizona State University; Meldrum, Deirdre [Arizona State University

    2011-01-01T23:59:59.000Z

    Despite significant improvements in recent years, proteomic datasets currently available still suffer large number of missing values. Integrative analyses based upon incomplete proteomic and transcriptomic da-tasets could seriously bias the biological interpretation. In this study, we applied a non-linear data-driven stochastic gradient boosted trees (GBT) model to impute missing proteomic values for proteins experi-mentally undetected, using a temporal transcriptomic and proteomic dataset of Shewanella oneidensis. In this dataset, genes expression was measured after the cells were exposed to 1 mM potassium chromate for 5-, 30-, 60-, and 90-min, while protein abundance was measured only for 45- and 90-min samples. With the goal of elucidating the relationship between temporal gene expression and protein abundance data, and then using it to impute missing proteomic values for samples of 45-min (which does not have cognate transcriptomic data) and 90-min, we initially used nonlinear Smoothing Splines Curve Fitting (SSCF) to identify temporal relationships among transcriptomic data at different time points and then imputed missing gene expression measurements for the sample at 45-min. After the imputation was validated by biological constrains (i.e. operons), we used a data-driven Gradient Boosted Trees (GBT) model to uncover possible non-linear relationships between temporal transcriptomic and proteomic data, and to impute protein abundance for the proteins experimentally undetected in the 45- and 90-min sam-ples, based on relevant predictors such as temporal mRNA gene expression data, cellular roles, molecular weight, sequence length, protein length, guanine-cytosine (GC) content and triple codon counts. The imputed protein values were validated using biological constraints such as operon, regulon and pathway information. Finally, we demonstrated that such missing value imputation improved characterization of the temporal response of S. oneidensis to chromate.

  17. New Visualization Tools for Environmental Sensor Networks: Using Google Earth as an Interface to Micro-Climate and Multimedia Datasets

    E-Print Network [OSTI]

    Sean Askay

    2006-01-01T23:59:59.000Z

    to Micro-Climate and Multimedia Datasets A Thesis submittedof micro-climate and multimedia data, there existed noJames Reserve's sensor and multimedia networks. At the time

  18. On Optimizing Joint Inversion of Constrained Geophysical Datasets Anibal Sosa1 Leticia Velazquez1;2, Aaron Velasco3,

    E-Print Network [OSTI]

    Ward, Karen

    of Texas at El Paso, El Paso, Texas 79968-0514, USA 3Department of Geological Sciences, The University) algorithm to characterize 1D earth structure using geophysical datasets with two different optimization

  19. 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.

    2014-03-31T23:59:59.000Z

    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.

  20. Models Datasets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William HirstLong-Term Market Penetration of

  1. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    a purpose and need statement is put together for the Grande Prairie Wind Project. PDF CHP Units in Washington State This is data taken from the website http:www.eea-inc.com...

  2. Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision hasda62829c05b No revision hasDatabus - QSubmit Order

  3. Assessing Spatial and Attribute Errors of Input Data in Large National Datasets for use in Population Distribution Models

    SciTech Connect (OSTI)

    Patterson, Lauren A [ORNL; Urban, Marie L [ORNL; Myers, Aaron T [ORNL; Bhaduri, Budhendra L [ORNL; Bright, Eddie A [ORNL; Coleman, Phil R [ORNL

    2007-01-01T23:59:59.000Z

    Geospatial technologies and digital data have developed and disseminated rapidly in conjunction with increasing computing performance and internet availability. The ability to store and transmit large datasets has encouraged the development of national datasets in geospatial format. National datasets are used by numerous agencies for analysis and modeling purposes because these datasets are standardized, and are considered to be of acceptable accuracy. At Oak Ridge National Laboratory, a national population model incorporating multiple ancillary variables was developed and one of the inputs required is a school database. This paper examines inaccuracies present within two national school datasets, TeleAtlas North America (TANA) and National Center of Education Statistics (NCES). Schools are an important component of the population model, because they serve as locations containing dense clusters of vulnerable populations. It is therefore essential to validate the quality of the school input data, which was made possible by increasing national coverage of high resolution imagery. Schools were also chosen since a 'real-world' representation of K-12 schools for the Philadelphia School District was produced; thereby enabling 'ground-truthing' of the national datasets. Analyses found the national datasets not standardized and incomplete, containing 76 to 90% of existing schools. The temporal accuracy of enrollment values of updating national datasets resulted in 89% inaccuracy to match 2003 data. Spatial rectification was required for 87% of the NCES points, of which 58% of the errors were attributed to the geocoding process. Lastly, it was found that by combining the two national datasets together, the resultant dataset provided a more useful and accurate solution. Acknowledgment Prepared by Oak Ridge National Laboratory, P.O. Box 2008, Oak Ridge, Tennessee 37831-6285, managed by UT-Battelle, LLC for the U. S. Department of Energy undercontract no. DEAC05-00OR22725. Copyright This manuscript has been authored by employees of UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy. Accordingly, the United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

  4. The Earth System Grid Center for Enabling Technologies: Focusing Technologies on Climate Datasets and Resource Needs

    SciTech Connect (OSTI)

    Williams, Dean N. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2007-09-26T23:59:59.000Z

    This report discusses a project that used prototyping technology to access and analyze climate data. This project was initially funded under the DOE’s Next Generation Internet (NGI) program, with follow-on support from BER and the Mathematical, Information, and Computational Sciences (MICS) office. In this prototype, we developed Data Grid technologies for managing the movement and replication of large datasets, and applied these technologies in a practical setting (i.e., an ESG-enabled data browser based on current climate data analysis tools), achieving cross-country transfer rates of more than 500 Mb/s. Having demonstrated the potential for remotely accessing and analyzing climate data located at sites across the U.S., we won the “Hottest Infrastructure” award in the Network Challenge event. While the ESG I prototype project substantiated a proof of concept (“Turning Climate Datasets into Community Resources”), the SciDAC Earth System Grid (ESG) II project made this a reality. Our efforts targeted the development of metadata technologies (standard schema, XML metadata extraction based on netCDF, and a Metadata Catalog Service), security technologies (Web-based user registration and authentication, and community authorization), data transport technologies (GridFTPenabled OPeNDAP-G for high-performance access, robust multiple file transport and integration with mass storage systems, and support for dataset aggregation and subsetting), as well as web portal technologies to provide interactive access to climate data holdings. At this point, the technology was in place and assembled, and ESG II was poised to make a substantial impact on the climate modelling community.

  5. 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.

  6. Evaluating socio-economic state of a country analyzing airtime credit and mobile phone datasets

    E-Print Network [OSTI]

    Gutierrez, Thoralf; Blondel, Vincent D

    2013-01-01T23:59:59.000Z

    Reliable statistical information is important to make political decisions on a sound basis and to help measure the impact of policies. Unfortunately, statistics offices in developing countries have scarce resources and statistical censuses are therefore conducted sporadically. Based on mobile phone communications and history of airtime credit purchases, we estimate the relative income of individuals, the diversity and inequality of income, and an indicator for socioeconomic segregation for fine-grained regions of an African country. Our study shows how to use mobile phone datasets as a starting point to understand the socio-economic state of a country, which can be especially useful in countries with few resources to conduct large surveys.

  7. A 20-Year Dataset of Downwelling Longwave Flux at the Arctic Surface from TOVS Satellite Data

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) -Less isNFebruaryOctober 2, AlgeriaQ1 Q2 Q3 Ut NOTICE20-Year Dataset

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazel Crest,EnergySerranopolis Jump to:Econ IncIRENADelhiFocusDatasets

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

    SciTech Connect (OSTI)

    Lin, Renping; Zhou, Tianjun; Qian, Yun

    2014-02-01T23:59:59.000Z

    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.

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

  16. 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

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

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

    Broader source: Energy.gov [DOE]

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

  18. Using Graphs for Fast Error Term Approximation of Time-varying Datasets

    SciTech Connect (OSTI)

    Nuber, C; LaMar, E C; Pascucci, V; Hamann, B; Joy, K I

    2003-02-27T23:59:59.000Z

    We present a method for the efficient computation and storage of approximations of error tables used for error estimation of a region between different time steps in time-varying datasets. The error between two time steps is defined as the distance between the data of these time steps. Error tables are used to look up the error between different time steps of a time-varying dataset, especially when run time error computation is expensive. However, even the generation of error tables itself can be expensive. For n time steps, the exact error look-up table (which stores the error values for all pairs of time steps in a matrix) has a memory complexity and pre-processing time complexity of O(n2), and O(1) for error retrieval. Our approximate error look-up table approach uses trees, where the leaf nodes represent original time steps, and interior nodes contain an average (or best-representative) of the children nodes. The error computed on an edge of a tree describes the distance between the two nodes on that edge. Evaluating the error between two different time steps requires traversing a path between the two leaf nodes, and accumulating the errors on the traversed edges. For n time steps, this scheme has a memory complexity and pre-processing time complexity of O(nlog(n)), a significant improvement over the exact scheme; the error retrieval complexity is O(log(n)). As we do not need to calculate all possible n2 error terms, our approach is a fast way to generate the approximation.

  19. An Interactive Visualization Model for Large High-dimensional Datasets Division of Computing and Mathematics,University of Houston-Clear Lake,

    E-Print Network [OSTI]

    Ding, Wei

    An Interactive Visualization Model for Large High-dimensional Datasets Wei Ding Division of complex data, which is especially helpful for analysis of large high dimensional datasets. However, existing methods often lose simplicity and clarity while rendering large amount of complex data

  20. Volume rendering at interactive frame rates remains a chal-lenge, especially with today's increasingly large datasets. We pro-

    E-Print Network [OSTI]

    Crawfis, Roger

    Abstract Volume rendering at interactive frame rates remains a chal- lenge, especially with today's increasingly large datasets. We pro- pose a framework, using concepts from Image-Based Rendering (IBR), that decreases the required framerate for the volume ren- derer significantly. All the volume renderer needs

  1. Volume rendering at interactive frame rates remains a chal-lenge, especially with today's increasingly large datasets. We pro-

    E-Print Network [OSTI]

    Mueller, Klaus

    1 Abstract Volume rendering at interactive frame rates remains a chal- lenge, especially with today's increasingly large datasets. We pro- pose a framework, using concepts from Image-Based Rendering (IBR), that decreases the required framerate for the volume ren- derer significantly. All the volume renderer needs

  2. The exploration of massive multi-wavelength astronomical datasets: the case of AGNS in the Chandra Source Catalog

    E-Print Network [OSTI]

    D?Abrusco, Raffaele

    library. Different datasets obtained starting from samples of AGNs selected with different methods classification is available.This approach yields two advantages over the traditional study of low- dimensional.g., classification indices). A technique already applied to the problem of extraction of optical candidate quasars

  3. A graphical presentation of signal delays in the datasets of Weihs et al

    E-Print Network [OSTI]

    Morgan, Peter

    2012-01-01T23:59:59.000Z

    A graphical presentation of the timing of avalanche photodiode events in the datasets from the experiment of Weihs et al. [Phys. Rev. Lett. 81, 5039 (1998)] makes manifest the existence of two types of signal delay: (1) The introduction of rapid switching of the input to a pair of transverse electro-optical modulators causes a delay of approximately 20 nanoseconds for a proportion of coincident avalanche photodiode events; this effect has been previously noted, but a different cause is suggested by the data as considered here. (2) There are delays that depend on in which avalanche photodiode an event occurs; this effect has also been previously noted even though it is only strongly apparent when the relative time difference between avalanche photodiode events is near the stated 0.5 nanosecond accuracy of the timestamps (but it is identifiable because of 75 picosecond resolution). The cause of the second effect is a difference between signal delays for the four avalanche photodiodes, for which correction can b...

  4. 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.; Chavarría-Miranda, Daniel

    2009-05-29T23:59:59.000Z

    We present a new lock-free parallel algorithm for computing betweenness centrality of massive small-world networks. With minor changes to the data structures, our algorithm also achieves better spatial cache locality compared to previous approaches. Betweenness centrality is a key algorithm kernel in the HPCS SSCA#2 Graph Analysis benchmark, which has been 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.

  5. 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

    2009-02-15T23:59:59.000Z

    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.

  6. Use of datasets derived from time-series AVHRR imagery as surrogates for land cover maps in predicting species' distributions

    E-Print Network [OSTI]

    Egbert, Stephen L.; Martí nez-Meyer, Enrique; Ortega-Huerta, Miguel; Peterson, A. Townsend

    2002-06-01T23:59:59.000Z

    to be the case, it may be possible to use AVHRR, MODIS, or similar imagery, either in raw form or as easily and cheaply derived datasets, as direct inputs to models that predict species’ distributions. II. METHODS In this pilot analysis, we selected... for Advanced Computational Infrastructure, Earth System Science (NPACI/ESS) Thrust. E.M-M. was supported by a graduate fellowship from the Direccion General de Asuntos del Personal Academico of the National University of Mexico (UNAM...

  7. 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.

    2002-02-01T23:59:59.000Z

    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.

  8. VecFinder: Automated de novo identification and removal of vector and adapter sequence from genomic datasets

    SciTech Connect (OSTI)

    Zhang, Michael Y.; Tu, Hank; Shapiro, Harris; Platt, Darren

    2007-05-04T23:59:59.000Z

    High-throughput Sanger sequencing requires DNA to be inserted into bacterial vectors for biological amplification. Adapter or linker oligonucleotides may also be attached to target DNA fragments to facilitate insertion into the vector. These vector and adapter sequences are sequenced concomitantly with the target, or insert, sequence and represent contamination which must be removed from the dataset prior to analysis. Removal of such contamination can be accomplished by screening the dataset against the known sequence of the vector and adapter used to generate the data. However, often in the case of public or collaborator datasets, information regarding these contaminant sequences may be incorrect or absent, resulting in an incomplete screening. We've created a piece of software, VecFinder, which is able to identify the sequence of the vector and adapter from the read sequences alone and subsequently remove it. This alleviates the dependence on the library creators to provide the vector and adapter sequences used for the library. It also automates the previously manual task of identifying and screening the adapter or linker sequence, which can be tedious and time-consuming

  9. Projecting Continental U.S. Water Stress Based on Global Datasets

    SciTech Connect (OSTI)

    Parish, Esther S [ORNL; Kodra, Evan [Northeastern University; Steinhaeuser, Karsten [University of Minnesota; Ganguly, Auroop R [Northeastern University

    2012-01-01T23:59:59.000Z

    Human populations may be adversely impacted by water stress, a situation which is commonly defined as a per capita water availability of less than 1700 cubic meters of freshwater per person per year. Water stress may result from either overuse of available freshwater resources or a reduction in the amount of available water due to decreases in rainfall and stored water supplies. Analyzing the interrelationship between human populations and water availability is complicated by the uncertainties associated with climate change projections and population projections. We have developed a simple methodology to integrate disparate climate and population data sources and develop first-order per capita water availability projections at the global scale. Simulations from the coupled land-ocean-atmosphere Community Climate System Model version 3 (CCSM3) forced with a range of hypothetical greenhouse gas emissions scenarios have been used to project grid-based changes in precipitation minus evapotranspiration as proxies for changes in runoff, or fresh water supply. Population growth changes, according to Intergovernmental Panel on Climate Change (IPCC) storylines, have been used as proxies for changes in fresh water demand by 2025, 2050 and 2100. These freshwater supply and demand projections have then been combined to yield estimates of per capita water availability aggregated by U.S. watershed. Results suggest that important insights might be extracted from the use of the process developed here, including the identification of potentially vulnerable areas in need of more detailed analysis. This high-level analysis also illustrates the relative importance of population growth versus climate change in in altering future freshwater supplies. However, these are only exemplary insights and, as such, could be considered hypotheses that should be rigorously tested with multiple climate models, multiple observational climate datasets, and more comprehensive population growth projections.

  10. Accurate Analysis of Large Datasets of Protein-Ligand Binding Geometries Using a Linear Clustering Method Based on MapReduce

    E-Print Network [OSTI]

    Maccabe, Barney

    are traditionally scored based on energy values. A protein-ligand complex selected because Accurate Analysis of Large Datasets of Protein-Ligand Binding Geometries for classifying protein-ligand binding geometries in molecular docking. We analyze results

  11. Beyond usability -- affect in web browsing

    E-Print Network [OSTI]

    Deng, Liqiong

    2009-06-02T23:59:59.000Z

    This research concentrates on the visual aesthetics of a website, investigating the web user's affective/emotional reactions to different designs of web homepage aesthetics and their influence on subsequent behaviors of web users. Drawing...

  12. BROWSING ARTICLES IN"REVIEWS" Escher's Enigma

    E-Print Network [OSTI]

    Miller, Russ

    top flight sampling, cookie cutter songwriting via a mix that sounds more like a commercial than, and stimulating catalog of music via rock solid musicianship, entertaining songs and music that covers all for: RECENTLY POSTED Escher's Enigma The Bend ­ She's Evil (EP) Jupiter in Velvet is back Wooden Hez

  13. Browse : re-forming the urban library

    E-Print Network [OSTI]

    Baron, Sandra Ann

    2007-01-01T23:59:59.000Z

    The urban library has persisted as a cultural entity, largely because its interiorized form functions as a vault, creating a clear, although often intimidating, boundary between library program and the public realm. While ...

  14. DOE Research and Development Accomplishments Database Browse

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePART I SECTIONPlasma PhysicsDOEDOE2Contact Us

  15. Browse Archived Directives - DOE Directives, Delegations, and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtual TourEnergy

  16. Browse Designations - DOE Directives, Delegations, and Requirements

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced Materials FindAdvancedBrookhaven Site Office

  17. Browse Archived Directives - DOE Directives, Delegations, and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess Stories Siteand TechnicalBroadbhso/about/jobs/ Below

  18. Browse Success Stories - Energy Innovation Portal

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess Stories Siteand TechnicalBroadbhso/about/jobs/Stories » All

  19. Browse By Region | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation in CarbonofBiotinsBostonBridger Valley05411°,

  20. Constructing a Merged CloudPrecipitation Radar Dataset for Tropical Convective Clouds during the DYNAMO/AMIE Experiment at Addu Atoll

    E-Print Network [OSTI]

    of observations from three radars--the S-band dual-polarization Doppler radar (S-Pol), the C-band Shared Mobile, and radiative heating rate retrievals. With this dataset the full spectrum of tropical convective clouds during, U.S. Department of Energy, Washington, D.C. Corresponding author address: Dr. Zhe Feng, Pacific

  1. Figure 1. Inner Asia and Mongolia showing active survey datasets. (1) Darkhat-Muron, (2) the Khanui and Terhiyn Valleys, and (3) Baga Gazaryn Chuluu.

    E-Print Network [OSTI]

    George Mason University

    Figure 1. Inner Asia and Mongolia showing active survey datasets. (1) Darkhat- Muron, (2 of Sciences, Ulanbataar, Mongolia 1. MOTIVATION AND PURPOSE Inner Asia is the heartland of the Old World is essential. We define Inner Asia as composed of Mongolia, Inner Mongolia, Tibet, Manchuria, Eastern Turkestan

  2. JOURNAL OF EYE MOVEMENT RESEARCH /// Chapman et al. /cmsbox/clients/jemr/custom/uploads

    E-Print Network [OSTI]

    Aberdeen, University of

    of stimuli in both space (e.g. Honda, 1989; Matin, & Pearce, 1965; Schlag & Schlag-Rey, 1995; review Ross presentation within a saccade (Honda, 1989), but also on the availability of background visual cues and the physical position of the stimulus (Honda, 1993). Honda (1991) also showed that mislocalization happened

  3. V-177: VMware vCenter Chargeback Manager File Upload Handling...

    Broader source: Energy.gov (indexed) [DOE]

    SOLUTION: Vendor recommends updating to version 2.5.1 Addthis Related Articles U-047: Siemens Automation License Manager Bugs Let Remote Users Deny Service or Execute Arbitrary...

  4. V-151: RSA Archer eGRC Bugs Let Remote Authenticated Users Upload...

    Energy Savers [EERE]

    5.x ABSTRACT: Several vulnerabilities were reported in RSA Archer eGRC. REFERENCE LINKS: EMC SecurityTracker Alert ID: 1028516 CVE-2013-0932 CVE-2013-0933 CVE-2013-0934 IMPACT...

  5. V-033: ownCloud Cross-Site Scripting and File Upload Vulnerabilities |

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartment of EnergyThe followingRemote

  6. V-151: RSA Archer eGRC Bugs Let Remote Authenticated Users Upload Files and

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015 -Helicopter-Japan Joint NuclearDepartment ofEnergy

  7. V-177: VMware vCenter Chargeback Manager File Upload Handling Vulnerability

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005UNSDepartmentFebruaryPhase|PotomacDepartment ofConductThere isArbitrary|

  8. U-199: Drupal Drag & Drop Gallery Module Arbitrary File Upload

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartmentTest forTechnologiesTribalInjury at the Hanford8Department

  9. DEVELOPING AND EXPLOITING A UNIQUE DATASET FROM SOUTH AFRICAN GOLD MINES FOR SOURCE CHARACTERIZATION AND WAVE PROPAGATION

    SciTech Connect (OSTI)

    Julia, J; Nyblade, A; Gok, R; Walter, W; Linzer, L; Durrheim, R

    2009-07-06T23:59:59.000Z

    In this project, we are developing and exploiting a unique seismic dataset to address the characteristics of small seismic events and the associated seismic signals observed at local (< 200 km) and regional (< 2000 km) distances. The dataset is being developed using mining-induced events from three deep gold mines in South Africa recorded on in-mine networks (< 1 km) composed of tens of high-frequency sensors, a network of four broadband stations installed as part of this project at the surface around the mines (1-10 km), and a network of existing broadband seismic stations at local/regional distances (50-1000 km) from the mines. Data acquisition has now been completed and includes: (1) {approx}2 years (2007 and 2008) of continuous recording by the surface broadband array, and (2) tens of thousands of mine tremors in the -3.4 < ML < 4.4 local magnitude range. Events with positive magnitudes are generally well recorded by the surface-mine stations, while magnitudes of 3.0 and larger are seen at regional distances (up to {approx} 600 km) in high-pass filtered recordings. We have now completed the quality control of the in-mine data gathered at the three gold mines included in this project. The quality control consisted of: (1) identification and analysis of outliers among the P- and S-wave travel-time picks reported by the in-mine network operator and (2) verification of sensor orientations. The outliers have been identified through a 'Wadati filter' that searches for the largest subset of P- and S-wave travel-time picks consistent with a medium of uniform wave-speed. They have observed that outliers are generally picked at a few select stations. They have also detected that trigger times were mistakenly reported as origin times by the in-mine network operator, and corrections have been obtained from the intercept times in the Wadati diagrams. Sensor orientations have been verified through rotations into the local ray-coordinate system and, when possible, corrected by correlating waveforms obtained from theoretical and empirical rotation angles. Full moment tensor solutions have been obtained for selected events within the Savuka network volume, with moment magnitudes in the 0.5 < M{sub W} < 2.6 range. The solutions were obtained by inverting P-, SV-, and SH-spectral amplitudes measured on the theoretically rotated waveforms with visually assigned polarities. Most of the solutions have a non-zero implosive contribution (47 out of 76), while a small percentage is purely deviatoric (10 out of 76). The deviatoric moment tensors range from pure double couple to pure non-double couple mechanisms. We have also calibrated the regional stations for seismic coda-derived source spectra and moment magnitude using the envelope methodology of Mayeda et al. (2003). they tie the coda M{sub w} to independent values from waveform modeling. The resulting coda-based source spectra of shallow mining-related events show significant spectral peaking that is not seen in deeper tectonic earthquakes. This coda peaking may be an independent method of identifying shallow events and is similar to coda peaking with previously observed for Nevada explosions, where the frequency of the observed spectral peak correlates with the depth of burial (Murphy et al., 2009).

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

  12. Experimental Datasets - Optimization Online

    E-Print Network [OSTI]

    2005-03-29T23:59:59.000Z

    Mar 29, 2005 ... Preprint in Russian, see also the next paper in English, data and code in kcl, also ... Preprint in Russian, data and code in varcomp and in tdlib.

  13. Massive Datasets in Astronomy

    E-Print Network [OSTI]

    Brunner, R J; Prince, T A; Szalay, A S; Brunner, Robert J.; Prince, Thomas A.; Szalay, Alex S.

    2001-01-01T23:59:59.000Z

    Astronomy has a long history of acquiring, systematizing, and interpreting large quantities of data. Starting from the earliest sky atlases through the first major photographic sky surveys of the 20th century, this tradition is continuing today, and at an ever increasing rate. Like many other fields, astronomy has become a very data-rich science, driven by the advances in telescope, detector, and computer technology. Numerous large digital sky surveys and archives already exist, with information content measured in multiple Terabytes, and even larger, multi-Petabyte data sets are on the horizon. Systematic observations of the sky, over a range of wavelengths, are becoming the primary source of astronomical data. Numerical simulations are also producing comparable volumes of information. Data mining promises to both make the scientific utilization of these data sets more effective and more complete, and to open completely new avenues of astronomical research. Technological problems range from the issues of dat...

  14. Stalking the Wild Dataset

    E-Print Network [OSTI]

    Tsang, Daniel C

    2015-01-01T23:59:59.000Z

    data, now migrated to the Web without the need to downloaddatabase, click on DataInsight-Web on left menu. Time-seriesthe years that follow." - Web site. Making ConnectionsNOTE:

  15. Models and Datasets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William HirstLong-Term Market Penetration

  16. SU-E-I-87: Automated Liver Segmentation Method for CBCT Dataset by Combining Sparse Shape Composition and Probabilistic Atlas Construction

    SciTech Connect (OSTI)

    Li, Dengwang [Shandong Normal University, Jinan, Shandong Province (China); Liu, Li [Shandong Normal University, Jinan, Shandong (China); Chen, Jinhu; Li, Hongsheng [Shandong Cancer Hospital and Institute, Jinan, Shandong (China)

    2014-06-01T23:59:59.000Z

    Purpose: The aiming of this study was to extract liver structures for daily Cone beam CT (CBCT) images automatically. Methods: Datasets were collected from 50 intravenous contrast planning CT images, which were regarded as training dataset for probabilistic atlas and shape prior model construction. Firstly, probabilistic atlas and shape prior model based on sparse shape composition (SSC) were constructed by iterative deformable registration. Secondly, the artifacts and noise were removed from the daily CBCT image by an edge-preserving filtering using total variation with L1 norm (TV-L1). Furthermore, the initial liver region was obtained by registering the incoming CBCT image with the atlas utilizing edge-preserving deformable registration with multi-scale strategy, and then the initial liver region was converted to surface meshing which was registered with the shape model where the major variation of specific patient was modeled by sparse vectors. At the last stage, the shape and intensity information were incorporated into joint probabilistic model, and finally the liver structure was extracted by maximum a posteriori segmentation.Regarding the construction process, firstly the manually segmented contours were converted into meshes, and then arbitrary patient data was chosen as reference image to register with the rest of training datasets by deformable registration algorithm for constructing probabilistic atlas and prior shape model. To improve the efficiency of proposed method, the initial probabilistic atlas was used as reference image to register with other patient data for iterative construction for removing bias caused by arbitrary selection. Results: The experiment validated the accuracy of the segmentation results quantitatively by comparing with the manually ones. The volumetric overlap percentage between the automatically generated liver contours and the ground truth were on an average 88%–95% for CBCT images. Conclusion: The experiment demonstrated that liver structures of CBCT with artifacts can be extracted accurately for following adaptive radiation therapy. This work is supported by National Natural Science Foundation of China (No. 61201441), Research Fund for Excellent Young and Middle-aged Scientists of Shandong Province (No. BS2012DX038), Project of Shandong Province Higher Educational Science and Technology Program (No. J12LN23), Jinan youth science and technology star (No.20120109)

  17. 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

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

  18. 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. (Description taken from http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php)

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

    SciTech Connect (OSTI)

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

    2005-08-13T23:59:59.000Z

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

  20. Repellents to prevent cattle browsing of pine seedlings

    E-Print Network [OSTI]

    Duncan, Don Arlen

    1959-01-01T23:59:59.000Z

    Tm ZzaA ssA Zqyaywm. c". pqZ gso~qv ~ 'ZBTTsq=om qsmqsu 'BuTTfmzq zus Buys?ozq syqqev usqq usqqo eaeuss moTg sBomsTr Buy~aaB syqqso Zq pseuss sar~ cq. oqd: &~ssqo uo Zqyqs~~crz s~? ~o fiqTuopem sqq. puc 'eBuyqTsae Bssp go aBsquoozacT q. eaqDyu sctq...~ygi Zq paBccrsp azar' ppo~l; go sBv~aso r Zquo ~~~ cueqaoB qaz~ooB Zq;;aZozqgap ossa sax~ Bus eq. qqqaz Zq - zo uaqqyq a&as eBuZTSase or q. ZBuqe stqq go ssznoa sqq Buymg mIog Z. toquaAuy pgaTg aq, uo sB mp qyqqzu Zus Z~q, . og spam azaw suoTeTAo~ zou...

  1. Dynamics of Tilt-based Browsing on Mobile Devices

    E-Print Network [OSTI]

    Cho, S.J.; Murray-Smith, R.

    Cho,S.J. Murray-Smith,R. Choi,C. Sung,Y. Lee,K. Kim,Y.B. CHI '07 extended abstracts on Human factors in computing systems, http://doi.acm.org/10.1145/1240866.1240930 pp 1947 - 1952 ACM Press

  2. Dynamically exploiting available metadata for browsing and information retrieval

    E-Print Network [OSTI]

    Sinha, Vineet, 1978-

    2004-01-01T23:59:59.000Z

    Systems trying to help users deal with information overload need to be able to support the user in an information-centric manner, and need to support portions of the information which are structured -like creation dates ...

  3. A Snapshot Browsing Model for Web-based Surveillance System

    E-Print Network [OSTI]

    Chen, Shu-Ching

    Department of Electrical and Management Florida International University Computer Engineering National to simplify the network structure, one subnetwork is constructed for each time duration. The MATN and its and in the system design level. The DSS system establishes a firm basis for supporting a variety of potential cost

  4. Day Labour Mobile Electronic Data Capture and Browsing System

    E-Print Network [OSTI]

    Blake, Edwin

    South Africa Tel +27 21 650 2663 chepken@gmail.com Edwin Blake Edwin Blake Department of Computer Science University of Cape Town Private Bag X3 Rondebosch 7701 South Africa edwin@cs.uct.ac.za Gary Marsden Gary Marsden ICT4D HPI Research Centre, Department of Computer Science University of Cape Town

  5. Breaking the Browsing Barrier for Historic Searching of Newspaper Texts.

    E-Print Network [OSTI]

    Keegan, Te Taka

    government sources, from religious factions, and from indigenous sectors. Approximately 70% of the newspapers

  6. A Framework for Browsing, Manipulating and Maintaining Interoperable Learner Profiles

    E-Print Network [OSTI]

    Dolog, Peter

    an extensible API to process heterogeneous profiles. The rest of the paper is structured as follows: Section 2. An API is designed and implemented to create/export and manipulate such learner profiles. The API is implemented for two cases, as a Java API and as web services with synchronized model exchange between multiple

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  1. Browse by Discipline -- E-print Network Subject Pathways: Environmental

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for the researchEnergy,Energy, science, and

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for the researchEnergy,Energy, science,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for the researchEnergy,Energy, science,Energy,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for the researchEnergy,Energy,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for the researchEnergy,Energy,Energy, science,

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    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for the researchEnergy,Energy,Energy,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for the researchEnergy,Energy,Energy,Energy,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for the

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science, and technology for the

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science, and technology for

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science, and technology forEnergy,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science, and technologyEnergy,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science, andEnergy, science, and

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science, andEnergy, science,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science, andEnergy,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science, andEnergy,Energy,Energy,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science,Energy, science, and

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science,Energy, science,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science,Energy, science,Energy,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science,Energy,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science,Energy,Energy, science,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science,Energy,Energy,

  15. Browse by Discipline -- E-print Network Subject Pathways: Mathematics --

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy, science,Energy,Energy,Energy,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy,Energy, science, and technology for

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy,Energy, science, and technology

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    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy,Energy, science, and

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    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy,Energy, science, andEnergy,

  1. Browse by Discipline -- E-print Network Subject Pathways: Mathematics --

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy,Energy, science, andEnergy,Energy,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology for theEnergy,Energy, science,

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  5. Browse Draft Directives - DOE Directives, Delegations, and Requirements

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy, science,Energy, science, andEnergy, science,

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy, science,Energy, science, andEnergy,

  5. Browse by Discipline -- E-print Network Subject Pathways: Physics --

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy, science,Energy, science, andEnergy,Energy,

  6. Browse by Discipline -- E-print Network Subject Pathways: Physics --

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy, science,Energy, science, andEnergy,Energy,Energy,

  7. Browse by Discipline -- E-print Network Subject Pathways: Physics --

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy, science,Energy, science,

  8. Browse by Discipline -- E-print Network Subject Pathways: Power

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy, science,Energy, science,Transmission, Distribution

  9. Browse Draft Directives - DOE Directives, Delegations, and Requirements

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess Stories Siteand TechnicalBroadbhso/about/jobs/

  10. Browse by Discipline -- E-print Network Subject Pathways: Power

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand Fusion -- Energy, science,and

  11. Browse by Discipline -- E-print Network Subject Pathways: Power

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand Fusion -- Energy, science,andTransmission,

  12. Browse by Discipline -- E-print Network Subject Pathways: Power

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand Fusion -- Energy,

  13. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand Fusion -- Energy,Transmission,

  14. Browse by Discipline -- E-print Network Subject Pathways: Power

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand Fusion --

  15. Browse by Discipline -- E-print Network Subject Pathways: Power

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand Fusion --Transmission, Distribution and

  16. Browse by Discipline -- E-print Network Subject Pathways: Power

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand Fusion --Transmission, Distribution

  17. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand Fusion --Transmission,

  18. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand Fusion --Transmission,Transmission,

  19. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand Fusion

  20. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand FusionTransmission, Distribution and

  1. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand FusionTransmission, Distribution

  2. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand FusionTransmission,

  3. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand FusionTransmission,Transmission,

  4. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forand

  5. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forandTransmission, Distribution and Plants --

  6. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forandTransmission, Distribution and Plants

  7. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forandTransmission, Distribution and

  8. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forandTransmission, Distribution andTransmission,

  9. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forandTransmission, Distribution

  10. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forandTransmission, DistributionTransmission,

  11. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forandTransmission,

  12. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forandTransmission,Transmission, Distribution and

  13. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forandTransmission,Transmission, Distribution

  14. Browse by Discipline -- E-print Network Subject Pathways: Power

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science, and technology forandTransmission,Transmission,

  15. 7/24/13 Signal Processing Society www.signalprocessingsociety.org/uploads/email/JSTSP_SI_SPSG.html 1/2

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    , especially if integration of distributed renewable energy sources is included. The operation of smart grid OF SELECTED TOPICS IN SIGNAL PROCESSING Special Issue on Signal Processing in Smart Electric Power Grid dynamic and uncertain systems. The smart grid is a dynamic, time-varying system with many uncertainties

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

    SciTech Connect (OSTI)

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

    2014-01-01T23:59:59.000Z

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

  17. 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.

    2003-09-01T23:59:59.000Z

    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).

  18. CHP Units in Washington State - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    CHP Units in Washington State This is data taken from the website http:www.eea-inc.comchpdataStatesWA.html on 232015 regarding the Cogeneration units in Washington State....

  19. Hydrogen Compatibility of Materials - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    the Technical Reference and the Technical Database is provided by the Safety, Codes and Standards program element of the Hydrogen and Fuel Cells Program, Office of Energy...

  20. Buildings Energy Data Book - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomassSustainable andBucoda, Washington: Energy(B2G) (Smart Grid Project)