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Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Collaboration-Type Identification in Educational Datasets  

E-Print Network [OSTI]

Collaboration-Type Identification in Educational Datasets ANDREW E. WATERS Department of Electrical Engineering Rice University richb@sparfa.com Identifying collaboration between learners in a course is an important challenge in education for two reasons: First, depending on the courses' rules, collaboration can

2

Tension in the Recent Type Ia Supernovae Datasets  

E-Print Network [OSTI]

In the present work, we investigate the tension in the recent Type Ia supernovae (SNIa) datasets Constitution and Union. We show that they are in tension not only with the observations of the cosmic microwave background (CMB) anisotropy and the baryon acoustic oscillations (BAO), but also with other SNIa datasets such as Davis and SNLS. Then, we find the main sources responsible for the tension. Further, we make this more robust by employing the method of random truncation. Based on the results of this work, we suggest two truncated versions of the Union and Constitution datasets, namely the UnionT and ConstitutionT SNIa samples, whose behaviors are more regular.

Hao Wei

2010-04-07T23:59:59.000Z

3

Solar Resources by Class and Country - Datasets - OpenEI Datasets  

Open Energy Info (EERE)

Resolution varies spatially from 1 km to 1 degree (approximately 100 km) depending on the data source. High spatial resolution datasets (1 km to 40 km cells) were modeled to...

4

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

Open Energy Info (EERE)

Wind Resources by Class and Country At 50m These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution...

5

Type F: Oceanic-ridge, Basaltic Resource | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Type F: Oceanic-ridge, Basaltic Resource Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Type F: Oceanic-ridge, Basaltic Resource Dictionary.png Type F: Oceanic-ridge, Basaltic Resource: No definition has been provided for this term. Add a Definition Brophy Occurrence Models This classification scheme was developed by Brophy, as reported in Updating the Classification of Geothermal Resources.[1] Type A: Magma-heated, Dry Steam Resource Type B: Andesitic Volcanic Resource Type C: Caldera Resource Type D: Sedimentary-hosted, Volcanic-related Resource Type E: Extensional Tectonic, Fault-Controlled Resource

6

Type B: Andesitic Volcanic Resource | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Type B: Andesitic Volcanic Resource Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Type B: Andesitic Volcanic Resource Dictionary.png Type B: Andesitic Volcanic Resource: No definition has been provided for this term. Add a Definition Brophy Occurrence Models This classification scheme was developed by Brophy, as reported in Updating the Classification of Geothermal Resources.[1] Type A: Magma-heated, Dry Steam Resource Type B: Andesitic Volcanic Resource Type C: Caldera Resource Type D: Sedimentary-hosted, Volcanic-related Resource Type E: Extensional Tectonic, Fault-Controlled Resource

7

Earth System Grid II, Turning Climate Datasets into Community Resources  

SciTech Connect (OSTI)

The Earth System Grid (ESG) II project, funded by the Department of Energys Scientific Discovery through Advanced Computing program, has transformed climate data into community resources. ESG II has accomplished this goal by creating a virtual collaborative environment that links climate centers and users around the world to models and data via a computing Grid, which is based on the Department of Energys supercomputing resources and the Internet. Our projects success stems from partnerships between climate researchers and computer scientists to advance basic and applied research in the terrestrial, atmospheric, and oceanic sciences. By interfacing with other climate science projects, we have learned that commonly used methods to manage and remotely distribute data among related groups lack infrastructure and under-utilize existing technologies. Knowledge and expertise gained from ESG II have helped the climate community plan strategies to manage a rapidly growing data environment more effectively. Moreover, approaches and technologies developed under the ESG project have impacted datasimulation integration in other disciplines, such as astrophysics, molecular biology and materials science.

Middleton, Don

2006-08-01T23:59:59.000Z

8

Type C: Caldera Resource | Open Energy Information  

Open Energy Info (EERE)

C: Caldera Resource C: Caldera Resource Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Type C: Caldera Resource Dictionary.png Type C: Caldera Resource: No definition has been provided for this term. Add a Definition Brophy Occurrence Models This classification scheme was developed by Brophy, as reported in Updating the Classification of Geothermal Resources. Type A: Magma-heated, Dry Steam Resource Type B: Andesitic Volcanic Resource Type C: Caldera Resource Type D: Sedimentary-hosted, Volcanic-related Resource Type E: Extensional Tectonic, Fault-Controlled Resource Type F: Oceanic-ridge, Basaltic Resource Caldera resources may be found in many tectonic settings but are defined by their caldera structures which control the flow of the fluids in the system.

9

Type A: Magma-heated, Dry Steam Resource | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Type A: Magma-heated, Dry Steam Resource Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Type A: Magma-heated, Dry Steam Resource Dictionary.png Type A: Magma-heated, Dry Steam Resource: No definition has been provided for this term. Add a Definition Brophy Occurrence Models This classification scheme was developed by Brophy, as reported in Updating the Classification of Geothermal Resources.[1] Type A: Magma-heated, Dry Steam Resource Type B: Andesitic Volcanic Resource Type C: Caldera Resource Type D: Sedimentary-hosted, Volcanic-related Resource Type E: Extensional Tectonic, Fault-Controlled Resource

10

Reconstruction of Hessence Dark Energy and the Latest Type Ia Supernovae Gold Dataset  

E-Print Network [OSTI]

Recently, many efforts have been made to build dark energy models whose equation-of-state parameter can cross the so-called phantom divide $w_{de}=-1$. One of them is the so-called hessence dark energy model in which the role of dark energy is played by a non-canonical complex scalar field. In this work, we develop a simple method based on Hubble parameter $H(z)$ to reconstruct the hessence dark energy. As examples, we use two familiar parameterizations for $H(z)$ and fit them to the latest 182 type Ia supernovae Gold dataset. In the reconstruction, measurement errors are fully considered.

Hao Wei; Ningning Tang; Shuang Nan Zhang

2007-02-28T23:59:59.000Z

11

Reconstruction of a Deceleration Parameter from the Latest Type Ia Supernovae Gold Dataset  

E-Print Network [OSTI]

In this paper, a parameterized deceleration parameter $q(z)= 1/2 - a/(1 + z)^b$ is reconstructed from the latest type Ia supernovae gold dataset. It is found out that the transition redshift from decelerated expansion to accelerated expansion is at $z_T=0.35^{+0.14}_{-0.07}$ with $1\\sigma$ confidence level in this parameterized deceleration parameter. And, the best fit values of parameters in $1\\sigma$ errors are $a=1.56^{+0.99}_{-0.55}$ and $b=3.82^{+3.70}_{-2.27}$.

Lixin Xu; Chengwu Zhang; Baorong Chang; Hongya Liu

2007-01-17T23:59:59.000Z

12

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

SciTech Connect (OSTI)

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

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

2010-07-01T23:59:59.000Z

13

Type E: Extensional Tectonic, Fault-Controlled Resource | Open Energy  

Open Energy Info (EERE)

Type E: Extensional Tectonic, Fault-Controlled Resource Type E: Extensional Tectonic, Fault-Controlled Resource Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Type E: Extensional Tectonic, Fault-Controlled Resource Dictionary.png Type E: Extensional Tectonic, Fault-Controlled Resource: No definition has been provided for this term. Add a Definition Brophy Occurrence Models This classification scheme was developed by Brophy, as reported in Updating the Classification of Geothermal Resources.[1] Type A: Magma-heated, Dry Steam Resource Type B: Andesitic Volcanic Resource Type C: Caldera Resource Type D: Sedimentary-hosted, Volcanic-related Resource Type E: Extensional Tectonic, Fault-Controlled Resource Type F: Oceanic-ridge, Basaltic Resource Extensional-tectonic, fault-controlled resources typically result from a

14

Exploring the Properties of Dark Energy Using Type Ia Supernovae and Other Datasets  

E-Print Network [OSTI]

We reconstruct dark energy properties from two complementary supernova datasets -- the newly released Gold+HST sample and SNLS. The results obtained are consistent with standard $\\Lambda$CDM model within $2\\sigma$ error bars although the Gold+HST data favour evolving dark energy slightly more than SNLS. Using complementary data from baryon acoustic oscillations and the cosmic microwave background to constrain dark energy, we find that our results in this case are strongly dependent on the present value of the matter density $\\Omega_m$. Consequently, no firm conclusions regarding constancy or variability of dark energy density can be drawn from these data alone unless the value of $\\Omega_m$ is known to an accuracy of a few percent. However, possible variability is significantly restricted if this data is used in conjunction with supernova data.

Ujjaini Alam; Varun Sahni; Alexei A. Starobinsky

2006-12-14T23:59:59.000Z

15

GEMS (Gene Expression Metasignatures), a Web Resource for Querying Meta-analysis of Expression Microarray Datasets: 17?-Estradiol in MCF-7 Cells  

Science Journals Connector (OSTI)

...expression microarray dataset contributions from...for the cancer and nuclear receptor signaling...each individual dataset. Backed by the...gene expression by nuclear receptors, their...expression microarray dataset contributions from...for the cancer and nuclear receptor signaling...

Scott A. Ochsner; David L. Steffen; Susan G. Hilsenbeck; Edward S. Chen; Christopher Watkins; and Neil J. McKenna

2009-01-01T23:59:59.000Z

16

Type D: Sedimentary-hosted, Volcanic-related Resource | Open Energy  

Open Energy Info (EERE)

D: Sedimentary-hosted, Volcanic-related Resource D: Sedimentary-hosted, Volcanic-related Resource Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Type D: Sedimentary-hosted, Volcanic-related Resource Dictionary.png Type D: Sedimentary-hosted, Volcanic-related Resource: No definition has been provided for this term. Add a Definition Brophy Occurrence Models This classification scheme was developed by Brophy, as reported in Updating the Classification of Geothermal Resources. Type A: Magma-heated, Dry Steam Resource Type B: Andesitic Volcanic Resource Type C: Caldera Resource Type D: Sedimentary-hosted, Volcanic-related Resource Type E: Extensional Tectonic, Fault-Controlled Resource Type F: Oceanic-ridge, Basaltic Resource Sedimentary-hosted volcanic-related resources are special in that the

17

Synthetic Datasets Rong Huang, Rada Chirkova, Yahya Fathi  

E-Print Network [OSTI]

Synthetic Datasets Rong Huang, Rada Chirkova, Yahya Fathi 1 Introduction Datasets may be generated will define symmetric synthetic dataset and two types of non-symmetric synthetic datasets that has some introduce symmetric synthetic dataset, its structure and the properties of the associated views. In Section

Young, R. Michael

18

dataset | OpenEI  

Open Energy Info (EERE)

dataset dataset Dataset Summary Description No description given. Source NCDC Date Released November 01st, 2012 (2 years ago) Date Updated Unknown Keywords dataset NSRDB solar Data application/pdf icon NSRDB User Manual (pdf, 8.1 MiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating. Dataset Summary Description The Energy Statistics Database contains comprehensive energy statistics

19

Fluxnet Synthesis Dataset Collaboration Infrastructure  

E-Print Network [OSTI]

Fluxnet Synthesis Dataset Collaboration Infrastructure DebUCB) The Fluxnet synthesis dataset originally compiled forhave been added and the dataset now contains over 920 site

Agarwal, Deborah A.

2009-01-01T23:59:59.000Z

20

Experimental Datasets - Optimization Online  

E-Print Network [OSTI]

Mar 29, 2005 ... Content r Problem r Experimental Datasets s File Format ... is done at the level of the master function (the Gibbs energy) yet experimentally.

2005-03-29T23:59:59.000Z

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Appendix C - Audio Datasets  

Science Journals Connector (OSTI)

Abstract This appendix provides a list of datasets which are available on the Web, that can be used as training and evaluation data for several audio analysis tasks.

Theodoros Giannakopoulos; Aggelos Pikrakis

2014-01-01T23:59:59.000Z

22

test1 - Datasets - OpenEI Datasets  

Open Energy Info (EERE)

test1 This is only a test Data and Resources TEST1.1com TESTING More info Go to resource doe test1 test2 test Additional Info Field Value Catalog OpenEI Origination Date 2014-11-12...

23

Organizations - OpenEI Datasets  

Open Energy Info (EERE)

Energy Data Inventory (AEDI) 8 Datasets View Alaska Energy Data Inventory (AEDI) alaskaoilandgasconservationcommission Alaska Oil and Gas Conservation Commission 1 Dataset...

24

Dataset Descriptions and Results Various StatLog partners  

E-Print Network [OSTI]

9 Dataset Descriptions and Results Various StatLog partners See Appendix C for a full list 1 9.1 INTRODUCTION We group the dataset results according to domain type, although this distinction is perhaps arbitrary at times. There are three credit datasets, of which two follow in the next section; the third

Taylor, Charles C.

25

Introduction Real datasets with known classes  

E-Print Network [OSTI]

Introduction Real datasets with known classes Simulated datasets Real datasets without known 8, 2011 Christian Hennig Some thoughts on cluster benchmarking #12;Introduction Real datasets with known classes Simulated datasets Real datasets without known classes Benchmarking should not be ranking

Hennig, Christian

26

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

Open Energy Info (EERE)

Excel sheet Datasets Tools.pdf Excel sheet Datasets Tools.pdf Jump to: navigation, search File File history File usage File:Excel sheet Datasets Tools.pdf Size of this preview: 776 × 600 pixels. Go to page 1 2 3 Go! next page → next page → Full resolution ‎(1,650 × 1,275 pixels, file size: 68 KB, MIME type: application/pdf, 3 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 16:19, 18 May 2012 Thumbnail for version as of 16:19, 18 May 2012 1,650 × 1,275, 3 pages (68 KB) Dbrodt (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage The following 2 pages link to this file: Energy Data Initiative/Resources

27

Comparison of Recent SnIa datasets  

E-Print Network [OSTI]

We rank the six latest Type Ia supernova (SnIa) datasets (Constitution (C), Union (U), ESSENCE (Davis) (E), Gold06 (G), SNLS 1yr (S) and SDSS-II (D)) in the context of the Chevalier-Polarski-Linder (CPL) parametrization $w(a)=w_0+w_1 (1-a)$, according to their Figure of Merit (FoM), their consistency with the cosmological constant ($\\Lambda$CDM), their consistency with standard rulers (Cosmic Microwave Background (CMB) and Baryon Acoustic Oscillations (BAO)) and their mutual consistency. We find a significant improvement of the FoM (defined as the inverse area of the 95.4% parameter contour) with the number of SnIa of these datasets ((C) highest FoM, (U), (G), (D), (E), (S) lowest FoM). Standard rulers (CMB+BAO) have a better FoM by about a factor of 3, compared to the highest FoM SnIa dataset (C). We also find that the ranking sequence based on consistency with $\\Lambda$CDM is identical with the corresponding ranking based on consistency with standard rulers ((S) most consistent, (D), (C), (E), (U), (G) least consistent). The ranking sequence of the datasets however changes when we consider the consistency with an expansion history corresponding to evolving dark energy $(w_0,w_1)=(-1.4,2)$ crossing the phantom divide line $w=-1$ (it is practically reversed to (G), (U), (E), (S), (D), (C)). The SALT2 and MLCS2k2 fitters are also compared and some peculiar features of the SDSS-II dataset when standardized with the MLCS2k2 fitter are pointed out. Finally, we construct a statistic to estimate the internal consistency of a collection of SnIa datasets. We find that even though there is good consistency among most samples taken from the above datasets, this consistency decreases significantly when the Gold06 (G) dataset is included in the sample.

J. C. Bueno Sanchez; S. Nesseris; L. Perivolaropoulos

2009-10-01T23:59:59.000Z

28

Rediscovering old datasets Paul Withers  

E-Print Network [OSTI]

Rediscovering old datasets Paul Withers Center for Space Physics, Boston University (withers if these data are accessible and useable #12;PVO · http://nssdc.gsfc.nasa.gov/nmc/datasetDisplay.d o://nssdc.gsfc.nasa.gov/nmc/datasetDisplay.do?id=PSPA-00141 · Tables of ionospheric profiles and other

Withers, Paul

29

Liberia-NREL Biomass Resource Assessment | Open Energy Information  

Open Energy Info (EERE)

Liberia-NREL Biomass Resource Assessment Liberia-NREL Biomass Resource Assessment Jump to: navigation, search Logo: Liberia Biomass Resource Assessment Name Liberia Biomass Resource Assessment Agency/Company /Organization National Renewable Energy Laboratory Partner U.S. Agency for International Development Sector Energy Focus Area Biomass Topics Resource assessment, Background analysis Resource Type Dataset, Maps, Software/modeling tools Website http://www.nrel.gov/docs/fy09o Country Liberia Western Africa References Assessment of Biomass Resources in Liberia [1] Abstract This study was conducted to estimate the biomass resources currently and potentially available in the country and evaluate their contribution for power generation and the production of transportation fuels

30

Resources  

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

Resources / Related Web Sites Resources / Related Web Sites Buildings-Related Resources Windows & Glazing Resources Energy-Related Resources International Resources Telephone Directories Buildings-Related Resources California Institute for Energy Efficiency (CIEE) Center for Building Science (CBS) at LBNL Department of Energy (DOE) DOE Energy Efficiency home page Energy Efficiency and Renewable Energy Clearinghouse Fact sheets in both HTML for standard web browsers and PDF format using Adobe Acrobat Reader (free). National Fenestration Rating Council home page Office of Energy Efficiency and Renewable Energy (EREN) back to top... Windows & Glazing Resources National Glass Association (NGA) LBNL Building Technologies Fenestration R&D news LBNL Center for Building Science (CBS) Newsletter

31

ORIGINAL ARTICLE Present and future climate resources for various types of tourism  

E-Print Network [OSTI]

ORIGINAL ARTICLE Present and future climate resources for various types of tourism in the Bay region for beach holidays in Europe. It is based on a mass tourism model strongly modulated by seasonality and with high environmental costs. Main tourism stakeholders are currently implementing

Romero, Romu

32

Buildings Performance Database - Datasets - OpenEI Datasets  

Open Energy Info (EERE)

Buildings Performance Database Dataset Activity Stream Buildings Performance Database The Buildings Performance Database (BPD) unlocks the power of building energy performance...

33

Framework for Interactive Parallel Dataset Analysis on the Grid  

SciTech Connect (OSTI)

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.

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

2007-01-10T23:59:59.000Z

34

Resources  

Broader source: Energy.gov [DOE]

Case studies and additional resources on implementing renewable energy in Federal new construction and major renovations are available.

35

Energy API and dataset overview | OpenEI Community  

Open Energy Info (EERE)

Energy API and dataset overview Energy API and dataset overview Home > Groups > Developer Rmckeel's picture Submitted by Rmckeel(297) Contributor 26 September, 2012 - 14:36 cleanweb hackathon resource webinar Today, Ian Kalin, a presidential innovation fellow, and the OpenEI team recorded an "energy resource" overview for developers of upcoming hackathon events at SXSW Eco and in New York City. You can find this recorded webinar with recent developer resources (APIs, datasets, content) at the links below. Streaming webinar link: https://mmancusa.webex.com/mmancusa/ldr.php?AT=pb&SP=MC&rID=48240102&rKey=40d5d5d42cbfd4e4 Download webinar link: https://mmancusa.webex.com/mmancusa/lsr.php?AT=dw&SP=MC&rID=48240102&rKey=2b23a089b99927fc Time: 13 minutes If you are an application developer in the energy space, or know one,

36

ITCS 4121/5121 Contest Assignment 1 Datasets: Select one dataset I provided for HW 1 as your target dataset.  

E-Print Network [OSTI]

ITCS 4121/5121 Contest Assignment 1 Datasets: Select one dataset I provided for HW 1 as your target dataset. Visualization: The four datasets are closely related to our daily life. What to you want to do with your target dataset? Try to find one or more tasks. For example, you may want to find the best cereal

Yang, Jing

37

Resources  

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

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response...

38

Resources, Roadblocks and Turning Points: A Qualitative Study of American Indian/ Alaska Native Adults with Type 2 Diabetes  

Science Journals Connector (OSTI)

Type 2 diabetes is a worldwide health problem that has reached epidemic proportions in some communities. Alaska Native and American Indian (AN/AI) people are disproportionately diagnosed...resources and roadblock...

Jennifer L. Shaw; Jennifer Brown; Burhan Khan

2013-02-01T23:59:59.000Z

39

Form:Dataset | Open Energy Information  

Open Energy Info (EERE)

Input your dataset name below to add to the registry. If the dataset is already in the registry, the form will be populated with that dataset's fields and you may edit. Submit...

40

A new bed elevation dataset for Greenland  

E-Print Network [OSTI]

A new bed elevation dataset for Greenland J. L. Bamber 1 ,al. : A new bed elevation dataset for Greenland Howat, I. M.al. : A new bed elevation dataset for Greenland Fig. 3. (a)

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Colorado thermal spring water geothermometry (public dataset...  

Open Energy Info (EERE)

dataset) Jump to: navigation, search OpenEI Reference LibraryAdd to library General: Colorado thermal spring water geothermometry (public dataset) Abstract The zipped Excel file...

42

Widget:DatasetsRedirect | Open Energy Information  

Open Energy Info (EERE)

Widget Edit History Facebook icon Twitter icon Widget:DatasetsRedirect Jump to: navigation, search This widget will redirect the browser to the application at datasets. Usage:...

43

NREL: Transmission Grid Integration - Wind Integration Datasets  

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

Wind Integration Datasets The Wind Integration Datasets provide energy professionals with a consistent set of wind profiles for the eastern United States and the western United...

44

Energy Datasets | OpenEI  

Open Energy Info (EERE)

Datasets Datasets OpenEI users have contributed 846 energy datasets to date. Name Source Date Updated Overall Rating STIL2 Swedish Office Buildings Survey The STIL2 project has performed a survey of high performance office buildings in Sweden to provide energy efficiency data for non-residential premises. The data covers... Swedish Energy Agency 04/09/2010 803 National Solar Radiation Data Base The National Solar Radiation Data Base (NSRDB) is the most comprehensive collection of solar data freely available. The 1991 - 2005 NSRDB contains hourly solar radiation (... NREL 965 Energy Technology Cost and Performance Data This data indicates the range of recent cost estimates for renewable energy and other technologies. The estimates are shown in dollars per installed kilowatts of generating... NREL 08/06/2009 803

45

Error estimation of bathymetric grid models derived from historic and contemporary datasets  

E-Print Network [OSTI]

1 Error estimation of bathymetric grid models derived from historic and contemporary datasets and rapidly collecting dense bathymetric datasets. Sextants were replaced by radio navigation, then transit, to digitized contours; the test dataset shows examples of all of these types. From this database, we assign

New Hampshire, University of

46

A classical dataset from Williams, and its role in the study of supersaturated designs.  

E-Print Network [OSTI]

A classical dataset from Williams, and its role in the study of supersaturated designs. Rolf Sundberg April 29, 2008 Abstract A Plackett­Burman type dataset from a paper by Williams (1968), with 28 observations and 24 two-level factors, has become a standard dataset for illustrating construction (by halving

Sundberg, Rolf

47

Scaling Properties of Common Statistical Operators for Gridded Datasets  

E-Print Network [OSTI]

model that accounts for dataset size and structure can helpclimate model-origin. For these dataset geometries our modelfor simple analysis (e.g. dataset differencing). Dataset

Zender, C. S; Mangalam, H.

2007-01-01T23:59:59.000Z

48

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

SciTech Connect (OSTI)

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.

Caroline Draxl: NREL

2014-01-01T23:59:59.000Z

49

NREL: Transmission Grid Integration - Western Wind Dataset  

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

Western Wind Dataset Western Wind Dataset Here you will find information about the Western Wind Dataset, including the methodology used to develop the dataset, the accuracy of the data, site selection, and power output. Alert! Important Note Obtain the Western Wind Dataset This dataset was originally created for the Western Wind and Solar Integration Study. These data are modeled data and not actual measured data. Learn more about the datasets including the similarities and differences between the Eastern and Western datasets and the differences from the NREL state wind maps. Methodology 3TIER created the Western Dataset with oversight and assistance from NREL. Numerical Weather Prediction (NWP) models were used to essentially recreate the historical weather for the western U.S. for 2004, 2005, and 2006. The

50

Ethiopia-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

Ethiopia-DLR Resource Assessments Ethiopia-DLR Resource Assessments Jump to: navigation, search Name Ethiopia-DLR Cooperation Agency/Company /Organization German Aerospace Center (DLR) Sector Energy Focus Area Renewable Energy Topics Background analysis, Resource assessment Resource Type Software/modeling tools, Dataset, Maps Website http://www.dlr.de/tt/desktopde Program Start 2001 Program End 2004 Country Ethiopia Eastern Africa References DLR-SWERA Resource Assessments[1] From 2001 to 2004 the German Aerospace Center (DLR) worked with Ethiopia on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme. References ↑ "DLR-SWERA Resource Assessments" Retrieved from "http://en.openei.org/w/index.php?title=Ethiopia-DLR_Resource_Assessments&oldid=328651"

51

Distribution-sensitive learning for imbalanced datasets  

E-Print Network [OSTI]

Many real-world face and gesture datasets are by nature imbalanced across classes. Conventional statistical learning models (e.g., SVM, HMM, CRY), however, are sensitive to imbalanced datasets. In this paper we show how ...

Song, Yale

52

1 Calibration against independent human travel datasets  

E-Print Network [OSTI]

1 Calibration against independent human travel datasets 1.1 Calibration against United States at www.bts.gov. Although the BTS dataset is large, the movements were histogrammed 1 #12;with a low

Shull, Kenneth R.

53

Integrated Datasets (IDs) Wood/Bretherton proposal  

E-Print Network [OSTI]

Integrated Datasets (IDs) Wood/Bretherton proposal ID Rationale Space/Time scale; Location; Platforms Parameters Combined Drizzle Dataset (CD ID) Collocated precipitation, aerosol and cloud micro, precip. rate, cloud Cross- Section Dataset (XS-ID) Data on E-W cross- section along 20°S from coast

Wood, Robert

54

Unbiased Look at Dataset Bias Antonio Torralba  

E-Print Network [OSTI]

Unbiased Look at Dataset Bias Antonio Torralba Massachusetts Institute of Technology torralba@csail.mit.edu Alexei A. Efros Carnegie Mellon University efros@cs.cmu.edu Abstract Datasets are an integral part and comparing performance of competing algo- rithms. At the same time, datasets have often been blamed

Guestrin, Carlos

55

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.

56

Agency Datasets | Data.gov  

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

Networx Business Volume_FY2011_1st Qtr Networx Business Volume_FY2011_1st Qtr The dataset represents the Networx Universal and Enterprise business volume by contractor, agency, contract vehicle and month for the centralized billing account. This represents the business volume of each government agency that has ordered telecommunications services from the Networx contract. GSA Information and Communications Combined Federal Campaign, CFC, 2009 Information on donor contributions through the 2010 Combined Federal Campaign by local campaign. Data includes information on the number of donors, campaign costs, payroll deduction contributions, and recipient organizations. GSA Population Combined Federal Campaign, CFC, 2010 Information on donor contributions through the 2010 Combined Federal Campaign by local campaign. Data includes information on the number of donors, campaign costs, payroll deduction contributions, and recipient organizations.

57

Observational Datasets We use two different satellite soil moisture datasets, one derived from the Advanced Microwave  

E-Print Network [OSTI]

Observational Datasets We use two different satellite soil moisture datasets, one derived from of the datasets. Whilst the AMSRE soil moisture product is gridded at 0.25°, the footprint of the sensor different precipitation datasets which use a combination of satellite data and, in some cases, surface

Guichard, Francoise

58

PDSF I/O Resources  

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

IO Resources IO Resources Motivation Many users must run jobs that read datasets that are too large to transfer to the scratch directory. When large numbers of these jobs run...

59

Afghanistan-NREL Resource Maps and Toolkits | Open Energy Information  

Open Energy Info (EERE)

Afghanistan-NREL Resource Maps and Toolkits Afghanistan-NREL Resource Maps and Toolkits Jump to: navigation, search Logo: Afghanistan Resources Maps and Toolkits Name Afghanistan Resources Maps and Toolkits Agency/Company /Organization National Renewable Energy Laboratory Sector Energy Focus Area Solar, Wind Topics Resource assessment, Background analysis Resource Type Dataset, Maps, Software/modeling tools Website http://www.nrel.gov/internatio Country Afghanistan Southern Asia References NREL International Activities Website [1] Abstract NREL partnered with Afghanistan to develop high-resolution wind and solar resource maps and data products for Afghanistan. NREL partnered with Afghanistan to develop high-resolution wind and solar resource maps and data products for Afghanistan. The data were output in

60

China-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » China-DLR Resource Assessments Jump to: navigation, search Name China-DLR Resource Assessments Agency/Company /Organization German Aerospace Center (DLR) Sector Energy Focus Area Renewable Energy Topics Background analysis, Resource assessment Resource Type Software/modeling tools, Dataset, Maps Website http://www.dlr.de/tt/desktopde Program Start 2001 Program End 2004 Country China Eastern Asia References DLR-SWERA Resource Assessments[1] From 2001 to 2004 the German Aerospace Center (DLR) worked with China on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme. References ↑ "DLR-SWERA Resource Assessments" Retrieved from

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Jordan-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

Jordan-DLR Resource Assessments Jordan-DLR Resource Assessments Jump to: navigation, search Name Jordan-DLR Resource Assessments Agency/Company /Organization German Aerospace Center (DLR) Sector Energy Focus Area Renewable Energy, Solar, Wind Topics Background analysis, Resource assessment Resource Type Software/modeling tools, Dataset, Maps Website http://www.dlr.de/en/ Program Start 2007 Program End 2008 Country Jordan Western Asia References DLR Website [1] From 2007-2008 the German Aerospace Center (DLR) developed a collection of solar and wind resource assessments for Tunisia. The key products included maps of existing resource assessments, pre feasibility studies for CSP and wind projects. References ↑ "DLR Website" Retrieved from "http://en.openei.org/w/index.php?title=Jordan-DLR_Resource_Assessments&oldid=328867"

62

The UTIAS multi-robot cooperative localization and mapping dataset  

E-Print Network [OSTI]

The UTIAS multi-robot cooperative localization and mapping dataset The International Journal and mapping dataset collection for research and educational purposes. The dataset consists of nine sub-datasets in each sub-dataset is also provided. The dataset is available for download at http://asrl.utias.utoronto.ca/datasets

63

Bayesian evidence as a tool for comparing datasets  

E-Print Network [OSTI]

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.

Phil Marshall; Nutan Rajguru; Anze Slosar

2007-10-30T23:59:59.000Z

64

Template:DatasetValue | Open Energy Information  

Open Energy Info (EERE)

the results. (string, example: 'max'). Example Usage DatasetValue |id452 |subjectArgentina |predicatedsprop:provedNaturalGasReserves Retrieved from "http:en.openei.org...

65

Fall 2012 focal follow FAD GPS dataset  

E-Print Network [OSTI]

Dataset includes 23 GPS files that describe fishing trips made by Dominican fishers to fish aggregating devices. Files are in RData file format....

Alvard, Michael

2014-06-11T23:59:59.000Z

66

Workplan and Annex: Solar Resource Knowledge Management  

SciTech Connect (OSTI)

''Solar Resource Knowledge Management'' will be a new task under the International Energy Agency's Solar Heating and Cooling Programme. The task development has involved researchers from Germany, France, Switzerland, Spain, Portugal, Italy, Canada, the U.S. that have been engaged in the use of satellite imagery to develop solar resource maps and datasets around the world. The task will address three major areas: (1) ''Benchmarking'' of satellite-based solar resource methods so that resource information derived from approaches developed in one country or based on a specific satellite can be quantitatively intercompared with methods from other countries using different satellites, as well as with ground data; (2) Data archiving and dissemination procedures, especially focusing on access to the data by end users; and (3) basic R&D for improving the reliability and usability of the data, and for examining new types of products important to the solar industry, such as solar resource forecasts.

Renne, D.

2005-01-01T23:59:59.000Z

67

The WCRP CMIP3 multimodel dataset: A new era in climate change research  

SciTech Connect (OSTI)

A coordinated set of global coupled climate model [atmosphere-ocean general circulation model (AOGCM)] experiments for twentieth- and twenty-first-century climate, as well as several climate change commitment and other experiments, was run by 16 modeling groups from 11 countries with 23 models for assessment in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4). Since the assessment was completed, output from another model has been added to the dataset, so the participation is now 17 groups from 12 countries with 24 models. This effort, as well as the subsequent analysis phase, was organized by the World Climate Research Programme (WCRP) Climate Variability and Predictability (CLIVAR) Working Group on Coupled Models (WGCM) Climate Simulation Panel, and constitutes the third phase of the Coupled Model Intercomparison Project (CMIP3). The dataset is called the WCRP CMIP3 multimodel dataset, and represents the largest and most comprehensive international global coupled climate model experiment and multimodel analysis effort ever attempted. As of March 2007, the Program for Climate Model Diagnostics and Intercomparison (PCMDI) has collected, archived, and served roughly 32 TB of model data. With oversight from the panel, the multimodel data were made openly available from PCMDI for analysis and academic applications. Over 171 TB of data had been downloaded among the more than 1000 registered users to date. Over 200 journal articles, based in part on the dataset, have been published so far. Though initially aimed at the IPCC AR4, this unique and valuable resource will continue to be maintained for at least the next several years. Never before has such an extensive set of climate model simulations been made available to the international climate science community for study. The ready access to the multimodel dataset opens up these types of model analyses to researchers, including students, who previously could not obtain state-of-the-art climate model output, and thus represents a new era in climate change research. As a direct consequence, these ongoing studies are increasing the body of knowledge regarding the understanding of how the climate system currently works, and how it may change in the future.

Meehl, G.A. [National Center for Atmospheric Research, Boulder, CO (United States); Covey, C.; Taylor, K.E. [Program for Climate Model Diagnosis and Intercomparison, Livermore, CA (United States); Delworth, T.; Stouffer, R.J. [Geophysical Fluid Dynamics Lab., Princeton, NJ (United States); Latif, M. [Leibniz-Institut fuer Meereswissenschaften, Kiel (Germany); McAvaney, B. [Bureau of Meteorology, Melbourne (Australia); Mitchell, J.F.B. [Hadley Centre, Exeter (United Kingdom)

2007-09-15T23:59:59.000Z

68

Algeria-DLR Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

DLR Resource Assessments DLR Resource Assessments Jump to: navigation, search Name Algeria-DLR Resource Assessments Agency/Company /Organization German Aerospace Center (DLR) Sector Energy Focus Area Renewable Energy, Solar, Wind Topics Background analysis, Resource assessment Resource Type Software/modeling tools, Dataset, Maps Website http://www.dlr.de/en/ Program Start 2007 Program End 2008 Country Algeria Northern Africa References DLR Website [1] From 2007-2008 the German Aerospace Center (DLR) developed a collection of solar and wind resource assessments for Algeria. The key products included maps of existing ressource assessments, pre feasibility studies for CSP and wind projects. References ↑ "DLR Website" Retrieved from "http://en.openei.org/w/index.php?title=Algeria-DLR_Resource_Assessments&oldid=328383"

69

Adaptive Management A type of natural resource management in which decisions  

E-Print Network [OSTI]

of an ongoing science-based process. Adaptive management involves testing, monitoring, and evaluating applied strategies, and incorporating new knowledge into management approaches that are based on scientific findings Federal Policy for a Watershed Approach to Federal Land and Resource Management, 65 Federal Register 202

70

Evaluating the cost-effectiveness of DR programs/tariffs: Questions for Pacific Northwest utilities o Conceptually, do you distinguish among different types of DR resources in your resource  

E-Print Network [OSTI]

Northwest utilities o Conceptually, do you distinguish among different types of DR resources in your of analytic process does your utility use to select DR programs/pricing tariffs (e.g., screening analysis vs. resource portfolio planning)? o In valuing the potential benefits of DR programs, how does your utility

71

Robust Machine Learning Applied to Terascale Astronomical Datasets  

E-Print Network [OSTI]

We present recent results from the Laboratory for Cosmological Data Mining (http://lcdm.astro.uiuc.edu) at the National Center for Supercomputing Applications (NCSA) to provide robust classifications and photometric redshifts for objects in the terascale-class Sloan Digital Sky Survey (SDSS). Through a combination of machine learning in the form of decision trees, k-nearest neighbor, and genetic algorithms, the use of supercomputing resources at NCSA, and the cyberenvironment Data-to-Knowledge, we are able to provide improved classifications for over 100 million objects in the SDSS, improved photometric redshifts, and a full exploitation of the powerful k-nearest neighbor algorithm. This work is the first to apply the full power of these algorithms to contemporary terascale astronomical datasets, and the improvement over existing results is demonstrable. We discuss issues that we have encountered in dealing with data on the terascale, and possible solutions that can be implemented to deal with upcoming petascale datasets.

Nicholas M. Ball; Robert J. Brunner; Adam D. Myers

2007-10-24T23:59:59.000Z

72

European Climate Assessment & Dataset Report 2008  

E-Print Network [OSTI]

for the EUMETNET-ECSN projects "European Climate Assessment" (ECA, starting 1998) and "European Climate Dataset: ECA&D; the "Eu- ropean Climate Assessment and Data set" This ECA&D project was proposedEuropean Climate Assessment & Dataset Report 2008 ECA&D · · · · European Climate Assessment

Stoffelen, Ad

73

Agency Datasets | Data.gov  

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

Surface Meterorology and Solar Energy Surface Meterorology and Solar Energy Renewable energy resource website NASA Geography and Environment MY NASA DATA data access, lessons plans, computer tools, science focus NASA Geography and Environment Earth Observations -Astronaut Photography The Gateway to Astronaut Photography of Earth database of images hosts the best and most complete online collection of astronaut photographs of the Earth. NASA Geography and Environment Global Climate Change NASA's Eyes on the Earth: Global Climate Change and Global Warming. Current news and data streams about global warming and climate change from NASA's Jet Propulsion Laboratory. NASA Science and Technology JPL Tropical Cyclone Information System The JPL Tropical Cyclone Information System (TCIS) brings together satellite and in situ data sets from various sources to help you find information for a particular tropical cyclone over the world's oceans.

74

Linked data about: /lod/resource/datasets/373/  

Open Energy Info (EERE)

lodresourcedatasets373 linked data This is a machine representation of data from an OpenEI page. View the human-readable lodresourcedatasets373 page on OpenEI. An Entity...

75

USGS-Earth Resources Observation and Science (EROS) Center | Open Energy  

Open Energy Info (EERE)

USGS-Earth Resources Observation and Science (EROS) Center USGS-Earth Resources Observation and Science (EROS) Center Jump to: navigation, search Tool Summary LAUNCH TOOL Name: USGS-Earth Resources Observation and Science (EROS) Center Agency/Company /Organization: United States Geological Survey Sector: Land Topics: Resource assessment Resource Type: Dataset, Maps, Software/modeling tools User Interface: Website Website: eros.usgs.gov/#/Find_Data/Products_and_Data_Available/Elevation_Produc Cost: Free USGS-Earth Resources Observation and Science (EROS) Center Screenshot References: USGS-Earth Resources Observation and Science (EROS) Center[1] Logo: USGS-Earth Resources Observation and Science (EROS) Center "Earth Resources Observation and Science (EROS) Center is a remotely sensed data management, systems development, and research field center for the

76

Reconstructing thawing quintessence with multiple datasets  

E-Print Network [OSTI]

In this work we model the quintessence potential in a Taylor series expansion, up to second order, around the present-day value of the scalar field. The field is evolved in a thawing regime assuming zero initial velocity. We use the latest data from the Planck satellite, baryonic acoustic oscillations observations from the Sloan Digital Sky Survey, and Supernovae luminosity distance information from Union$2.1$ to constrain our models parameters, and also include perturbation growth data from WiggleZ. We show explicitly that the growth data does not perform as well as the other datasets in constraining the dark energy parameters we introduce. We also show that the constraints we obtain for our model parameters, when compared to previous works of nearly a decade ago, have not improved significantly. This is indicative of how little dark energy constraints, overall, have improved in the last decade, even when we add new growth of structure data to previous existent types of data.

Lima, Nelson A; Sahln, Martin; Parkinson, David

2015-01-01T23:59:59.000Z

77

Category:Datasets | Open Energy Information  

Open Energy Info (EERE)

Category Category Edit History Facebook icon Twitter icon » Category:Datasets Jump to: navigation, search Add a new Dataset Pages in category "Datasets" The following 9 pages are in this category, out of 9 total. B BP Statistical Review of World Energy C Coal Power Plant Database E ENERGY STAR Labeled Buildings and Plants G Geothermal CSC Data Templates N NSRDB 1961-1990 NSRDB 1991-2005 R Renewable Fuel Standard Schedule S State Energy Data System U U.S. Geological Survey Data Series 140 Retrieved from "http://en.openei.org/w/index.php?title=Category:Datasets&oldid=156371" What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation:

78

Search for a Dataset - Data.gov  

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

content content Jump to Content Search for: Search data.gov Data Topics Agriculture Consumer Education Energy Finance Geospatial Global Development Health Jobs & Skills Public Safety Science & Research Weather Business Cities Counties Ethics Law Manufacturing Ocean States Applications Developers Contact Data Catalog Back to Topic Organizations Interactive Datasets To find datasets, enter your search terms in the search box below or browse through the categories on the left. As you browse, you will be refining and narrowing your search. To broaden your search again, click on the "clear all" link at the top of any category or on the "X" to the right of any single term. Home Datasets Federal datasets are subject to the U.S. Federal Government Data Policy. Non-federal participants (e.g., universities, organizations, and tribal,

79

Hydrogen Demand and Resource Assessment Tool | Open Energy Information  

Open Energy Info (EERE)

Hydrogen Demand and Resource Assessment Tool Hydrogen Demand and Resource Assessment Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Hydrogen Demand and Resource Assessment Tool Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Hydrogen, Transportation Topics: Technology characterizations Resource Type: Dataset, Software/modeling tools User Interface: Website Website: maps.nrel.gov/ Web Application Link: maps.nrel.gov/hydra Cost: Free Language: English References: http://maps.nrel.gov/hydra Logo: Hydrogen Demand and Resource Assessment Tool Use HyDRA to view, download, and analyze hydrogen data spatially and dynamically. HyDRA provides access to hydrogen demand, resource, infrastructure, cost, production, and distribution data. A user account is

80

Agency datasets monthly list | Data.gov  

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

June 2013 USCIS FOIA LOG This is a monthly dataset of Freedom of Information Act/Privacy Act (FOIA/PA) requests received and processed by the US Citizen and Immigration Services (USCIS) during the month. Each record in the dataset is associated with a FOIA request. It includes the case control number, requester name, document scanned date, and request subject. DHS USCIS Information and Communications 2013-09-12 13:59:47 June 2013 USCIS FOIA LOG This is a monthly dataset of Freedom of Information Act/Privacy Act (FOIA/PA) requests received and processed by the US Citizen and Immigration Services (USCIS) during the month. Each record in the dataset is associated with a FOIA request. It includes the case control number, requester name, document scanned date, and request subject. DHS USCIS Information and Communications 2013-09-12 13:59:47 July 2013 USCIS FOIA LOG This is a monthly dataset of Freedom of Information Act/Privacy Act (FOIA/PA) requests received and processed by the US Citizen and Immigration Services (USCIS) during the month. Each record in the dataset is associated with a FOIA request. It includes the case control number, requester name, document scanned date, and request subject. DHS Information and Communications 2013-09-12 13:59:47

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

ResourceResource AdequacyAdequacy  

E-Print Network [OSTI]

resources (diesel generators, etc.) Standby Resources Type 2 Buyback provisions on load Modeled in Post Review final assessment Council Power Review final Power Council Approval 7 #12;

82

OpenEI:Projects/Datasets Improvements | Open Energy Information  

Open Energy Info (EERE)

Improvements Improvements Jump to: navigation, search Contents 1 Purpose 2 Discussions on Feb 22, 2011 2.1 Longer-term Changes 2.2 Near-term Modifications to Metadata 3 Suggestions from Jan 13, 2011 3.1 Specific Changes to Metadata Fields (part of 'upload data' experience) 3.1.1 Fields as Links (rather than strings) 3.1.2 Multiple Fields 3.1.3 Data Upload Links 3.1.4 Remove 'Order' for Multiple Fields 3.2 Specific Recommendations for Improving/Expanding Metadata Fields 3.2.1 Flexible Properties/Metadata Fields 3.2.2 Wizard Flows for Common File Types 3.3 New Aspects of Datasets 3.3.1 Duplication/Relationship Detection 3.3.2 Wiki-Style Metadata 3.3.3 New Dataset 'Type': Translation (?) 3.3.4 Relationships/Similarities 4 Errors/Issues (uploading datasets) Purpose Evaluate current user-experience (for uploading, browsing, and

83

KDD 99 intrusion detection datasets, which are based on DARPA 98 dataset, provides labeled data for researchers  

E-Print Network [OSTI]

Abstract KDD 99 intrusion detection datasets, which are based on DARPA 98 dataset, provides labeled data for researchers working in the field of intrusion detection and is the only labeled dataset publicly available. Numerous researchers employed the datasets in KDD 99 intrusion detection datasets

Zincir-Heywood, Nur

84

ITCS 4121/5121 Contest Assignment 1 Datasets: Four multiple datasets have been uploaded into the course Blackboard.  

E-Print Network [OSTI]

ITCS 4121/5121 Contest Assignment 1 Datasets: Four multiple datasets have been uploaded into the course Blackboard. Download the datasets and select one from them to be your target dataset. Visualization: The four datasets are closely related to our daily life. What to you want to do with your target

Yang, Jing

85

NREL GIS Data: Global Offshore Wind - Datasets - OpenEI Datasets  

Open Energy Info (EERE)

NREL GIS Data: Global ... Dataset Activity Stream NREL GIS Data: Global Offshore Wind GIS data for offshore wind speed (meterssecond). Specified to Exclusive Economic Zones (EEZ)....

86

OpenEI:Projects/Datasets Patterns | Open Energy Information  

Open Energy Info (EERE)

Patterns Patterns Jump to: navigation, search About Dataset Patterns The Dataset Patterns project page will be used for tracking new use cases related to dataset submissions that help identify key patters for improving future dataset submissions. These patterns stem from the recent growth of dataset submissions, and relate to specific use cases where OpenEI member uploaded datasets in the datasets area of OpenEI. As this space continue to grow, this page will benefit new contributors by referencing past use cases in a concise manner to improve the ease with which new datasets are contributed. Dataset patterns from weekly meetings will also be tracked on this page Datasets Review: 1/21/11 Source example Dataset Topic Source/Issue Lessons Learned from this dataset User

87

Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets  

E-Print Network [OSTI]

Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets Vadeerat spatial datasets. This capability is important for change analysis and contrast mining. In this paper spatial datasets by maximizing cluster interestingness and correspondence between clusters derived from

Eick, Christoph F.

88

Activity Stream - WEC-Sim Wave Energy Converter Simulator - Datasets...  

Open Energy Info (EERE)

Dataset Activity Stream Activity Stream Jon Weers updated the dataset WEC-Sim Wave Energy Converter Simulator 5 days ago Jon Weers updated the dataset WEC-Sim 5 days ago Jon Weers...

89

Agency datasets monthly list | Data.gov  

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

December 2012) This raw data set provides Federal civilian employee population data as of December 2012. The scope of this raw data set includes all data elements used in the creation of the FedScope Employment Cube (http://www.fedscope.opm.gov/). The following workforce characteristics are available for analysis: Agency, State/Country, Occupation, Occupation Category, Pay Plan & Grade, GS & Equivalent Grade, Salary Level ($10,000 interval), Work Schedule, Type of Appointment, Gender, Age (5 year interval), Length of Service (5 year interval), Employment, Average Salary, and Average Length of Service. Starting in FY 2010, the OPM Enterprise Human Resources Integration-Statistical Data Mart (EHRI-SDM) is the source for all FedScope data. Data is processed on a quarterly basis (i.e. March, June, September and December). OPM Federal Government Finances and Employment 2013-03-15 10:32:45

90

Detailed Renewable Energy Resource Assessment Data Inventory (US) | OpenEI  

Open Energy Info (EERE)

Detailed Renewable Energy Resource Assessment Data Inventory (US) Detailed Renewable Energy Resource Assessment Data Inventory (US) Dataset Summary Description Detailed inventory of available renewable energy (RE) resource assessment data. Although the type, amount, and regional distribution of resource information vary by resource, assessments are available for each RE category (conducted by DOE and various private and public organizations). Solar, wind and geothermal resources have assessment products available at numerous scales (national, regional, and site specific). Assessments are available for biomass and hydropower resources at a national level, with only limited information available at the regional and site-specific levels. Ocean energy has the least resource assessment information available. This information was compiled by NREL and initially published in the 2006 Report to Congress on Renewable Energy Resource Assessment Information for the United States (Original document courtesy of archive.org). This datasets was last updated in January, 2011. For each assessment, the inventory includes: data name, data type, source, period of record, spatial coverage, spatial resolution, temporal scale, units, stated accuracy, availability, URL, update frequency, and additional notes.

91

Wind for Schools Portal Educational Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Wind for Schools Portal Educational Resources Jump to: navigation, search Wind for Schools Portal Home Comparison Motion Chart Educational Resources Educational Resources University Trade School High School Middle School Elementary School Other Resources To add a new entry, you can upload a new file. In the summary field, type in the following text to add the file to this page: [[Category:Wind for Schools LEVEL Curricula]] Where LEVEL is one of: University Trade School High School Middle School Elementary School Or assign the upload to: [[Category:Wind_for_Schools_Portal_Other_Resources]]

92

Mexico-NREL Wind Resource Assessments | Open Energy Information  

Open Energy Info (EERE)

Wind Resource Assessments Wind Resource Assessments Jump to: navigation, search Logo: Mexico-NREL Initiatives Name Mexico-NREL Initiatives Agency/Company /Organization National Renewable Energy Laboratory Sector Energy Focus Area Wind Topics Background analysis Resource Type Dataset, Maps, Software/modeling tools Website http://www.nrel.gov/internatio Country Mexico Central America References NREL International Program Overview [1] Abstract Currently NREL is working with Mexico to develop wind resource assessments including wind maps for Tamuilipas and & Baja California (10/10) and to prepare wind development scenarios for these regions. Currently NREL is working with Mexico to develop wind resource assessments including wind maps for Tamuilipas and & Baja California (10/10) and to

93

Agency datasets monthly list | Data.gov  

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

FEWSNET Price Volatility Data 2002-2012 This dataset documents ten years, from 2002 to 2012, of cereal price fluctuations across twenty-five African countries. These numbers provide a month-by-month record of the degree and scope of price crises as well as undisturbed cereal markets in Africa. USAID Prices 2013-05-03 12:27:14 FEWSNET Price Volatility Data 2002-2012 This dataset documents ten years, from 2002 to 2012, of cereal price fluctuations across twenty-five African countries. These numbers provide a month-by-month record of the degree and scope of price crises as well as undisturbed cereal markets in Africa. USAID Prices 2013-05-03 12:27:14 Feed the Future Bangladesh: Baseline Integrated Household Survey The Bangladesh Integrated Household Survey dataset is a thorough assessment of current standard of food security in Bangladesh taken from 2011-2012. The dataset includes all baseline household surveys made under the USAID-led Feed the Future initiative, a collaborative effort that supports country-owned processes and plans for improving food security and promoting transparency, and within the Zones of Influence as outlined by the Feed the Future Bangladesh plan .The BIHS sample is statistically representative at the following levels: (a) nationally representative of rural Bangladesh; (b) representative of rural areas of each of the seven administrative divisions of the country; and, (c) representative of the Feed the Future (FTF) zone of influence. USAID Population 2013-05-03 12:27:14

94

Measuring and comparing structural fluctuation patterns in large protein datasets  

Science Journals Connector (OSTI)

......fluctuation patterns in large protein datasets Edvin Fuglebakk 1,2 Julian...determined by X-ray scattering or nuclear magnetic resonance spectroscopy...for studying large protein datasets. In addition, allosterism...superfamily level. 2 METHODS 2.1 Datasets We choose four datasets from......

Edvin Fuglebakk; Julin Echave; Nathalie Reuter

2012-10-01T23:59:59.000Z

95

Maximum Entropy in Support of Semantically Annotated Datasets  

E-Print Network [OSTI]

Maximum Entropy in Support of Semantically Annotated Datasets Paulo Pinheiro da Silva, Vladik whether two datasets describe the same quantity. The existing solution to this problem is to use these datasets' ontologies to deduce that these datasets indeed represent the same quantity. However, even when

Kreinovich, Vladik

96

Covariance Tapering for Likelihood Based Estimation in Large Spatial Datasets  

E-Print Network [OSTI]

Covariance Tapering for Likelihood Based Estimation in Large Spatial Datasets Cari Kaufman, Mark the likelihood can be computationally infeasible for large datasets, requiring O(n3) calculations for a dataset and Marshall, 1984). However, evaluating the likelihood requires order n3 operations for a dataset of size n

97

Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets  

E-Print Network [OSTI]

Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets Brandon M landmark datasets with different landmark definitions into a super dataset, with a union of all landmark known landmarks in the target dataset to constrain the localization. Our novel pipeline is built upon

Zhang, Li

98

NREL: Transmission Grid Integration - Data and Resources  

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

Data and Resources Data and Resources NREL offers the following transmission integration-related data and resources. Eastern Wind Dataset A key task of the Eastern Wind Integration and Transmission Study was to develop a dataset of three years of modeled time series wind speed and power. This dataset was designed to help energy professionals perform wind integration studies, compare potential wind sites spatially and temporally, and estimate power production from hypothetical wind plants. Western Wind Dataset A primary task of the Western Wind and Solar Integration Study was to produce a comprehensive dataset that could be used to model the build-out of potential wind plants in the Western United States. This dataset was designed to help energy professionals perform wind integration studies,

99

Resources | Department of Energy  

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

Filter by Audience Filter by Resource Type Solar Powering America supports solar energy use for a variety of stakeholders in the United States. Here you will find resources...

100

Energy Information, Data, and other Resources | OpenEI  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Main Page Jump to: navigation, search Your Gateway to the World's Energy Information and Data buildings geothermal hydrogen smart grid solar utilities water wind Since 2009, 6,384 users and bots have contributed 737,338 edits on 179,413 pages. See the impact we're having. Follow OpenEI on: FaceBook 32x32.png Twitter 32x32.png Youtube 32x32.png Search Find Energy Resources by region World Outline.png by type datasets, docs, maps updates from the community developer resources Recent Community Activity Not seeing a widget? (More info) Featured on OpenEI TCDB frontpage promo 188px.png

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

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

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

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

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

102

A Dataset availability The ``public domain'' datasets are listed below with an anonymous ftp address. If you do  

E-Print Network [OSTI]

APPENDICES A Dataset availability The ``public domain'' datasets are listed below with an anonymous ftp address. If you do not have access to these, then you can obtain the datasets on diskette from Dr Porto, Potugal. The main source of datasets is ics.uci.edu (128.195.1.1) ­ the UCI Repository of Machine

Taylor, Charles C.

103

Governance of the NHD and WBD By design, and in practice, the National Hydrography Dataset and Watershed Boundary Dataset are  

E-Print Network [OSTI]

Dataset and Watershed Boundary Dataset are governed in a collaborative process consisting Agency jointly designed a hydrography feature dataset for nationwide use by all agencies in an effort number of stakeholders to ensure a "best fit" dataset that would meet as many needs as possible

Torgersen, Christian

104

WEC-Sim Wave Energy Converter Simulator - Datasets - OpenEI Datasets  

Open Energy Info (EERE)

Dataset Activity Stream WEC-Sim Wave Energy Converter Simulator WEC-Sim (Wave Energy Converter Simulator) is an open-source wave energy converter (WEC) simulation tool. The code...

105

Agency datasets monthly list | Data.gov  

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

Initial Disability Insurance Applications filed via the Internet This dataset provides monthly data at the national level from federal fiscal year 2008 - 2011 for initial Social Security Disability Insurance (SSDI) applications filed via the Internet. The dataset includes only SSDI initial receipts. SSDI initial receipt represent a worker in covered employment long enough and recently enough to be "insured", meaning paid Social Security taxes. Social Security work credits are based on total yearly wages or self-employment income. The amount needed for a credit changes from year to year. The number of work credits needed to qualify for disability benefits depends on age at disability onset. Generally, 40 credits are needed, 20 of which were earned in the last 10 years ending with the year of disability onset. SSA Social Insurance and Human Services 2013-02-07 14:10:00

106

Agency datasets monthly list | Data.gov  

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

Federal Cost of School Food Program Data The mission of FNS is to provide children and needy families better access to food and a more healthful diet through its food assistance programs and comprehensive nutrition education efforts. These dataset provides a summary of all the FNS School Food Program combined into one dataset. It contains cash payments and commodity costs for the National School Lunch Program, School Breakfast Program and the Special Milk Program. (format: html, xls) USDA FNS Health and Nutrition 2013-04-10 11:15:00 Federal Cost of School Food Program Data The mission of FNS is to provide children and needy families better access to food and a more healthful diet through its food assistance programs and comprehensive nutrition education efforts. These dataset provides a summary of all the FNS School Food Program combined into one dataset. It contains cash payments and commodity costs for the National School Lunch Program, School Breakfast Program and the Special Milk Program. (format: html, xls) USDA FNS Health and Nutrition 2013-04-10 11:15:00 USDA Economic Research Service Data Products Complete catalog of current data products from the USDA Economic Research Service. USDA ERS Agriculture 2013-04-16 13:56:08 Food Dollar Series The food dollar series measures annual expenditures by U.S. consumers on domestically produced food. This data series is composed of three primary series - the marketing bill series, the industry group series, and the primary factor series - that shed light on different aspects of the food supply chain. The three series show three different ways to split up the same food dollar. USDA ERS Agriculture 2013-04-16 13:56:08

107

Agency datasets monthly list | Data.gov  

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

Appropriation Figures for the Antitrust Division, Fiscal Years 1903-2012 This dataset contains five elements for appropriation figures for the Antitrust Division from 1903 to present. - Fiscal year - Direct Appropriation Amount Included in Appropriations Bill ($ in thousands) - Filing Fee Revenue Amount Included in Appropriations Bill ($ in thousands) - Total Funding Appropriated ($ in thousands) - Notes DOJ ATR Federal Government Finances and Employment 2013-11-07 11:13:56 Appropriation Figures for the Antitrust Division, Fiscal Years 1903-2012 This dataset contains five elements for appropriation figures for the Antitrust Division from 1903 to present. - Fiscal year - Direct Appropriation Amount Included in Appropriations Bill ($ in thousands) - Filing Fee Revenue Amount Included in Appropriations Bill ($ in thousands) - Total Funding Appropriated ($ in thousands) - Notes DOJ ATR Federal Government Finances and Employment 2013-11-07 11:13:56 Antitrust Division Sherman Act Violations Yielding a Corporate Fine of $10 Million or More This dataset contains five elements for Sherman Act violations yielding a corporate fine of $10 million or more - Defendant name (Federal Government Fiscal Year) - Product - Fine ($ in millions) - Geographic scope (domestic or international) - Country DOJ ATR Law Enforcement, Courts, and Prisons 2013-11-21 09:30:41

108

Agency datasets monthly list | Data.gov  

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

2012 Preliminary Toxics Release Inventory data for the state of Alaska Preliminary Toxics Release Inventory Data. The Toxics Release Inventory (TRI) is a publicly available EPA database that contains information on toxic chemical releases and waste management activities reported annually by facilities in certain industries as well as federal facilities. The TRI Program provides the Preliminary Toxics Release Inventory dataset annually in mid- to late July to give the public an opportunity to see the most recent TRI information prior to the publication of the TRI National Analysis report in December. Please note that the Preliminary Toxics Release Inventory dataset is not yet complete and will be updated every two weeks as the TRI Program continues to process additional reporting year 2012 TRI submissions. DISCLAIMER: See http://www2.epa.gov/toxics-release-inventory-tri-program/2012-tri-preliminary-dataset for limitations and other information regarding the use of this data. EPA Geography and Environment 2013-08-14 14:19:22

109

Evaluation of land use/land cover datasets for urban watershed modeling  

SciTech Connect (OSTI)

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

Burian, S. J. (Steven J.); Brown, M. J. (Michael J.); McPherson, T. N. (Timothy N.)

2001-01-01T23:59:59.000Z

110

Probing cosmic acceleration by using the SNLS3 SNIa dataset  

SciTech Connect (OSTI)

We probe the cosmic acceleration by using the recently released SNLS3 sample of 472 type Ia supernovae. Combining this type Ia supernovae dataset with the cosmic microwave background anisotropy data from the Wilkinson Microwave Anisotropy Probe 7-yr observations, the baryon acoustic oscillation results from the Sloan Digital Sky Survey data release 7, and the Hubble constant measurement from the Wide Field Camera 3 on the Hubble Space Telescope, we measure the dark energy equation of state w and the deceleration parameter q as functions of redshift by using the Chevallier-Polarski-Linder parametrization. Our result is consistent with a cosmological constant at 1? confidence level, without evidence for the recent slowing down of the cosmic acceleration. Furthermore, we consider three binned parametrizations (w is piecewise constant in redshift z) based on different binning methods. The similar results are obtained, i.e., the ?CDM model is still nicely compatible with current observations.

Li, Xiao-Dong; Wang, Shuang; Zhang, Wen-Shuai [Department of Modern Physics, University of Science and Technology of China, Hefei 230026 (China); Li, Song; Huang, Qing-Guo; Li, Miao, E-mail: renzhe@mail.ustc.edu.cn, E-mail: sli@itp.ac.cn, E-mail: swang@mail.ustc.edu.cn, E-mail: wszhang@mail.ustc.edu.cn, E-mail: huangqg@itp.ac.cn, E-mail: mli@itp.ac.cn [Institute of Theoretical Physics, Chinese Academy of Science, Beijing 100080 (China)

2011-07-01T23:59:59.000Z

111

Assessment of Biomass Resources from Marginal Lands in APEC Countries |  

Open Energy Info (EERE)

from Marginal Lands in APEC Countries from Marginal Lands in APEC Countries Jump to: navigation, search Logo: Assessment of Biomass Resources from Marginal Lands in APEC Countries Name Assessment of Biomass Resources from Marginal Lands in APEC Countries Agency/Company /Organization National Renewable Energy Laboratory Sector Energy Focus Area Biomass Topics Resource assessment Resource Type Dataset, Maps, Publications Website http://www.biofuels.apec.org/p Country Australia, Brunei, Canada, Chile, China, Indonesia, Japan, South Korea, Malaysia, Mexico, New Zealand, Papua New Guinea, Peru, Philippines, Russia, Chinese Taipei, Thailand, United States, Vietnam Australia and New Zealand, South-Eastern Asia, Northern America, South America, Eastern Asia, South-Eastern Asia, Eastern Asia, Eastern Asia, South-Eastern Asia, Central America, Australia and New Zealand, Melanesia, South America, South-Eastern Asia, Eastern Europe, , South-Eastern Asia, Northern America, South-Eastern Asia

112

Agency datasets monthly list | Data.gov  

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

Combined Federal Campaign, CFC, 2011 Information on donor contributions through the 2011 Combined Federal Campaign by local campaign. Data includes information on the number of donors, campaign costs, payroll deduction contributions, and recipient organizations. OPM Population 2013-01-23 13:35:53 Combined Federal Campaign, CFC, 2011 Information on donor contributions through the 2011 Combined Federal Campaign by local campaign. Data includes information on the number of donors, campaign costs, payroll deduction contributions, and recipient organizations. OPM Population 2013-01-23 13:35:53 Combined Federal Campaign, CFC, 2009-2011 Information on donor contributions through the 2010 Combined Federal Campaign by local campaign. Data includes information on the number of donors, campaign costs, payroll deduction contributions, and recipient organizations. OPM Population 2013-01-23 13:35:54 FedScope Employment Cube (December 2012) This raw data set provides Federal civilian employee population data as of December 2012. The scope of this raw data set includes all data elements used in the creation of the FedScope Employment Cube (http://www.fedscope.opm.gov/). The following workforce characteristics are available for analysis: Agency, State/Country, Occupation, Occupation Category, Pay Plan & Grade, GS & Equivalent Grade, Salary Level ($10,000 interval), Work Schedule, Type of Appointment, Gender, Age (5 year interval), Length of Service (5 year interval), Employment, Average Salary, and Average Length of Service. Starting in FY 2010, the OPM Enterprise Human Resources Integration-Statistical Data Mart (EHRI-SDM) is the source for all FedScope data. Data is processed on a quarterly basis (i.e. March, June, September and December). OPM Federal Government Finances and Employment 2013-03-15 10:32:45

113

offshore resource | OpenEI  

Open Energy Info (EERE)

resource resource Dataset Summary Description Global Wind Potential Supply Curves by Country, Class, and Depth (quantities in GW) Source National Renewable Energy Laboratory Date Released July 12th, 2012 (2 years ago) Date Updated July 12th, 2012 (2 years ago) Keywords offshore resource offshore wind renewable energy potential Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon offshore_resource_100_vs2.xlsx (xlsx, 41.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote

114

Sensitivity of Steel Casting Simulation Results to Alloy Property Datasets  

E-Print Network [OSTI]

1 Sensitivity of Steel Casting Simulation Results to Alloy Property Datasets Kent D. Carlson dataset; Ni-based alloys N3M, CW6MC and CW12MW can be represented by the benchmark CW12MW dataset; and Ni-based alloys M30C and M35-1 can be represented by the benchmark M35-1 dataset. While these alloy groupings

Beckermann, Christoph

115

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

SciTech Connect (OSTI)

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

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

116

Integrating transcription factor binding site information with gene expression datasets  

Science Journals Connector (OSTI)

......results for the muscle dataset. The co-inertia...NR2F2 V$ARP1_01 Nuclear receptor subfamily...for the prostate dataset. The co-inertia...hydrocarbon receptor nuclear transporter EBF...to DNA microarray datasets. Nucleic Acids...hydrocarbon receptor nuclear translocator (ARNT......

Ian B. Jeffery; Stephen F. Madden; Paul A. McGettigan; Guy Perrire; Aedn C. Culhane; Desmond G. Higgins

2007-02-01T23:59:59.000Z

117

NMRb: a web-site repository for raw NMR datasets  

Science Journals Connector (OSTI)

......confronted with the lack of raw datasets during the validation step...offers a database of NMR raw datasets, ordered by spectral characteristics...of structural genomics, the nuclear magnetic resonance (NMR...the lack of freely available datasets during the validation step......

J. L. Pons; T. E. Malliavin; D. Tramesel; M. A. Delsuc

2004-12-01T23:59:59.000Z

118

Covariance Tapering for Interpolation of Large Spatial Datasets  

E-Print Network [OSTI]

Covariance Tapering for Interpolation of Large Spatial Datasets Reinhard FURRER, Marc G. GENTON results. An application to a large climatological precipitation dataset is presented as a concrete-based methods make it possible to analyze and fit large spatial datasets in a high level Reinhard Furrer

Genton, Marc G.

119

Columbia Photographic Images and Photorealistic Computer Graphics Dataset  

E-Print Network [OSTI]

Columbia Photographic Images and Photorealistic Computer Graphics Dataset Tian-Tsong Ng, Shih Abstract Passive-blind image authentication is a new area of research. A suitable dataset. In response to the need for a new dataset, the Columbia Photographic Images and Photorealistic Computer

Chang, Shih-Fu

120

RENOIR -A Benchmark Dataset for Real Noise Reduction Evaluation  

E-Print Network [OSTI]

1 RENOIR - A Benchmark Dataset for Real Noise Reduction Evaluation Josue Anaya, Adrian Barbu Abstract--In this paper we introduce a dataset of uncom- pressed color images taken with three digital and in intensity. The dataset contains over 100 scenes and more than 400 images, including both RAW formatted

Barbu, Adrian

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Estimating Dataset Size Requirements for Classifying DNA Microarray Data  

E-Print Network [OSTI]

Estimating Dataset Size Requirements for Classifying DNA Microarray Data S. Mukherjee*+#1 , P methodology for estimating dataset size requirements for classifying microarray data using learning curves is introduced. The goal is to use existing classification results to estimate dataset size requirements

Poggio, Tomaso

122

Datasets for the Evaluation of Substitution-Tolerant Subgraph Isomorphism  

E-Print Network [OSTI]

Datasets for the Evaluation of Substitution-Tolerant Subgraph Isomorphism Pierre H´eroux LITIS EA datasets allowing to evaluate the performance of subgraph iso- morphism approaches in presence of noisy data. In this paper, we present three datasets that can be used to evaluate the performance

Paris-Sud XI, Université de

123

A Dataset Search Engine for the Research Document Corpus  

E-Print Network [OSTI]

A Dataset Search Engine for the Research Document Corpus Meiyu Lu # , Srinivas Bangalore , Graham a proposed idea or system is to evaluate over a suitable dataset. However, to this date there have been no useful tools for researchers to understand which datasets have been used for what purpose, or in what

Cormode, Graham

124

Dataset Issues in Object Recognition J. Ponce1,2  

E-Print Network [OSTI]

Dataset Issues in Object Recognition J. Ponce1,2 , T.L. Berg3 , M. Everingham4 , D.A. Forsyth1 , M of Edinburgh, Edinburgh, UK Abstract. Appropriate datasets are required at all stages of object recognition datasets are lacking in several respects, and this paper discusses some of the lessons learned from

Everingham, Mark

125

Updating the Tyrol tree-ring dataset , U. Bntgen1  

E-Print Network [OSTI]

Updating the Tyrol tree-ring dataset J. Esper1 , U. Büntgen1 , D. Frank1 , T. Pichler2 , K in palaeoclimatology The Tyrol dataset is a collection of 71 Picea abies ring width measurement series from the study area in Tyrol in the central Alps. We here describe efforts of updating this relevant dataset

Nicolussi, Kurt

126

A Dataset Search Engine for the Research Document Corpus  

E-Print Network [OSTI]

A Dataset Search Engine for the Research Document Corpus Meiyu Lu # , Srinivas Bangalore , Graham no useful tools for researchers to understand which datasets have been used for what purpose, or in what prior work. Instead, they have to manually browse through papers to find suitable datasets

Fisher, Kathleen

127

Overcoming Dataset Bias: An Unsupervised Domain Adaptation Approach  

E-Print Network [OSTI]

Overcoming Dataset Bias: An Unsupervised Domain Adaptation Approach Boqing Gong Dept. of Computer that recognition datasets are biased. Paying no heed to those biases, learning algorithms often result in classifiers with poor cross- dataset generalization. We are developing domain adaptation techniques to over

Grauman, Kristen

128

How Sensitive is Processor Customization to the Workload's Input Datasets?  

E-Print Network [OSTI]

How Sensitive is Processor Customization to the Workload's Input Datasets? Maximilien Breughe Zheng though is to what extent processor customiza- tion is sensitive to the training workload's input datasets. Current practice is to consider a single or only a few input datasets per workload during the processor

Eeckhout, Lieven

129

Probing Metagenomics by Rapid Cluster Analysis of Very Large Datasets  

E-Print Network [OSTI]

Probing Metagenomics by Rapid Cluster Analysis of Very Large Datasets Weizhong Li1 , John C. Wooley PLoS Biol 5, e16). Such datasets, not only by their sheer size, but also by many other features, defy datasets by advanced clustering strategies using the newly modified CD-HIT algorithm. We performed

Weitz, Joshua S.

130

Agency datasets monthly list | Data.gov  

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

Social Security Administration Data on Overall Customer Service Satisfaction This dataset provides data at the national level for overall satisfaction of customers who have used one of the main methods for conducting business with SSA. SSA Social Insurance and Human Services 2013-03-14 07:48:08 Social Security Administration Data on Overall Customer Service Satisfaction This dataset provides data at the national level for overall satisfaction of customers who have used one of the main methods for conducting business with SSA. SSA Social Insurance and Human Services 2013-03-14 07:48:08 Earnings Public-Use File, 2006 Social Security Administration released Earnings Public-Use File (EPUF) for 2006. File contains earnings information for individuals drawn from a systematic random 1-percent sample of all Social Security numbers (SSNs) issued before January 2007. EPUF consists of two linkable subfiles. One contains selected demographic and aggregate earnings information for all 4,348,254 individuals in the file, and the second contains annual earnings records for the 3,131,424 individuals who had positive earnings in at least 1 year from 1951 through 2006. ** Please Note: This data set is very large and will not work properly in Microsoft Excel. Data software capable of handling large files should be used. SSA Social Insurance and Human Services 2013-03-26 06:52:11

131

Agency datasets monthly list | Data.gov  

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

TARP Transactions Report, Capital Purchase Program (Investments) The Troubled Asset Relief Program (TARP) played a critical role in breaking the back of the financial crisis and laying a foundation for future growth. It included a comprehensive set of measures to recapitalize the financial system, restart the credit markets, restore confidence, and lower borrowing costs for businesses and families. This dataset shows Trouble Asset Relief Program (TARP) investment transactions. TREAS Federal Government Finances and Employment 2013-02-11 13:24:42 TARP Transactions Report, Capital Purchase Program (Investments) The Troubled Asset Relief Program (TARP) played a critical role in breaking the back of the financial crisis and laying a foundation for future growth. It included a comprehensive set of measures to recapitalize the financial system, restart the credit markets, restore confidence, and lower borrowing costs for businesses and families. This dataset shows Trouble Asset Relief Program (TARP) investment transactions. TREAS Federal Government Finances and Employment 2013-02-11 13:24:42 2011 America the Beautiful Coin Production Figures The Coin Production figures represent all of the "circulating" coins produced by the United States Mint, including the coins sold through the numismatic bags & rolls program. These numbers do not include the "proof" or "uncirculated" quality (i.e. UNC sets) coins produced by the Mint. TREAS DO Federal Government Finances and Employment 2013-02-07 14:10:00

132

Agency datasets monthly list | Data.gov  

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

USDA Economic Research Service Data Products Complete catalog of current data products from the USDA Economic Research Service. USDA ERS Agriculture 2013-04-16 13:56:08 USDA Economic Research Service Data Products Complete catalog of current data products from the USDA Economic Research Service. USDA ERS Agriculture 2013-04-16 13:56:08 Rice Yearbook U.S. rice production, supply, disappearance, trade, and price data. Includes state acreage, yield, and production data; U.S. and world price series; and program statistics. Contains world supply and use estimates as well. USDA ERS Agriculture 2013-04-16 13:56:09 Federal Cost of School Food Program Data The mission of FNS is to provide children and needy families better access to food and a more healthful diet through its food assistance programs and comprehensive nutrition education efforts. These dataset provides a summary of all the FNS School Food Program combined into one dataset. It contains cash payments and commodity costs for the National School Lunch Program, School Breakfast Program and the Special Milk Program. (format: html, xls) USDA FNS Health and Nutrition 2013-04-10 11:15:00

133

Agency datasets monthly list | Data.gov  

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

Colorado Plateau Ecoregion (COP) This map shows the location of the Colorado Plateau Ecoregion. DOI BLM Natural Resources 2013-04-01 08:09:25 Colorado Plateau Ecoregion (COP) This map shows the location of the Colorado Plateau Ecoregion. DOI BLM Natural Resources 2013-04-01 08:09:25 Colorado Plateau Rapid Ecoregion Assessment Conservation Elements - White-Tailed Prairie Dog This map shows the potential current distribution of white-tailed prairie dog, in the context of current and near-term terrestrial intactness and long-term potential for climate change and energy development. DOI BLM Natural Resources 2013-04-01 08:09:25 Colorado Plateau Rapid Ecoregion Assessment Conservation Elements - Aquatic Species: Razorback Sucker This map shows the potential current distribution of razorback sucker as well as current and near-term status, and long term potential for change (due to climate change). DOI BLM Natural Resources 2013-04-03 13:33:07

134

Katy, Texas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Katy, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 29.7857853°, -95.8243956° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.7857853,"lon":-95.8243956,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

135

Scottsdale, Arizona: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Scottsdale, Arizona: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.5092103°, -111.8990327° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.5092103,"lon":-111.8990327,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

136

California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » California: Energy Resources (Redirected from State of California) Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

137

Oregon: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Oregon: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.8041334,"lon":-120.5542012,"alt":0,"address":"Oregon","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

138

Portugal: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Portugal: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.5,"lon":-8,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

139

Arkansas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Arkansas: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.20105,"lon":-91.8318334,"alt":0,"address":"Arkansas","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

140

Liberia: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Liberia: Energy Resources (Redirected from ECOWAS Gateway-Liberia) Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":6.428055,"lon":-9.429499,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Ivory Coast: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Ivory Coast: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":8,"lon":-5,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

142

Austria: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Austria: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":47.33333,"lon":13.33333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

143

Laie, Hawaii: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Laie, Hawaii: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 21.649067°, -157.925454° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":21.649067,"lon":-157.925454,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

144

Caruthersville, Missouri: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Caruthersville, Missouri: Energy Resources (Redirected from Caruthersville, MO) Jump to: navigation, search Equivalent URI DBpedia Coordinates 36.1931245°, -89.6556353° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":36.1931245,"lon":-89.6556353,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

145

Rankin, Pennsylvania: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Rankin, Pennsylvania: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.412569°, -79.879216° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.412569,"lon":-79.879216,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

146

Colorado: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Colorado: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.5500507,"lon":-105.7820674,"alt":0,"address":"Colorado","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

147

Guinea: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Guinea: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":11,"lon":-10,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

148

Bend, Oregon: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Bend, Oregon: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 44.0581728°, -121.3153096° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.0581728,"lon":-121.3153096,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

149

Migrating attributes tied to the EPA river reache file to the national hydrography dataset  

E-Print Network [OSTI]

The National Hydrography Dataset. Veisze, P. , K. Beardsley,the National Hydrography Dataset In cooperation with severalto California's hydrography dataset (a modified form of the

Moore, Cynthia L.; Mullins, James C.; Willett, Karen Beardsley; Quinn, James F.

1999-01-01T23:59:59.000Z

150

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

E-Print Network [OSTI]

Data Movement for Climate Dataset: Efficient Data Transferbeen managing the massive dataset transfers efficiently withdistribution in climate dataset in Intergovernmental Panel

Sim, Alexander

2010-01-01T23:59:59.000Z

151

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

E-Print Network [OSTI]

targets within our RNAi dataset that may be components ofgenes within our FG dataset that are novel components ofa functional genomics dataset In this study, we examine the

Ho, Hsiang; Milenkovic, Tijana; Memisevic, Vesna; Aruri, Jayavani; Przulj, Natasa; Ganesan, Anand K

2010-01-01T23:59:59.000Z

152

Agency datasets monthly list | Data.gov  

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

2011 America the Beautiful Coin Production Figures The Coin Production figures represent all of the "circulating" coins produced by the United States Mint, including the coins sold through the numismatic bags & rolls program. These numbers do not include the "proof" or "uncirculated" quality (i.e. UNC sets) coins produced by the Mint. TREAS DO Federal Government Finances and Employment 2013-02-07 14:10:00 2011 America the Beautiful Coin Production Figures The Coin Production figures represent all of the "circulating" coins produced by the United States Mint, including the coins sold through the numismatic bags & rolls program. These numbers do not include the "proof" or "uncirculated" quality (i.e. UNC sets) coins produced by the Mint. TREAS DO Federal Government Finances and Employment 2013-02-07 14:10:00 TARP Transactions Report, Capital Purchase Program (Investments) The Troubled Asset Relief Program (TARP) played a critical role in breaking the back of the financial crisis and laying a foundation for future growth. It included a comprehensive set of measures to recapitalize the financial system, restart the credit markets, restore confidence, and lower borrowing costs for businesses and families. This dataset shows Trouble Asset Relief Program (TARP) investment transactions. TREAS Federal Government Finances and Employment 2013-02-11 13:24:42

153

Agency datasets monthly list | Data.gov  

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

DAILY RESEARCH NEWS This feed provides readers with abstracts of published articles. USDA ARS Agriculture 2013-05-21 13:55:25 DAILY RESEARCH NEWS This feed provides readers with abstracts of published articles. USDA ARS Agriculture 2013-05-21 13:55:25 AVAILABLE TECHNOLOGIES This feed provides readers with information about ARS technologies relating to biobased products, biotechnology, crop production, food safety & nutrition, natural resources, and animal production. USDA ARS Agriculture 2013-05-21 13:55:25 PARTNERING OPPORTUNITIES This feed provides readers with information regarding partnering opportunities that are available within the USDA/ARS community. USDA ARS Agriculture 2013-05-21 13:55:25 ARMS Farm Financial and Crop Production Practices The information provided here comes from the annual Agricultural Resource Management Survey (ARMS)-USDA's primary source of information on the financial condition, production practices, resource use, and the economic well-being of America's farm households. Sponsored jointly by ERS and the National Agricultural Statistics Service (NASS), ARMS is the only national survey that provides observations of field-level farm practices, the economics of the farm business, and the characteristics of the American farm household-all collected in a representative sample. Information about crop production, farm production, business, and households includes data for 15 selected States where available. USDA ERS Agriculture 2013-05-03 14:51:53

154

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

Open Energy Info (EERE)

Residential Buildings ... Dataset Activity Stream NREL Residential Buildings Group Partners This spreadsheet contains a list of all the companies with which NREL's Residential...

155

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...

156

Agency datasets monthly list | Data.gov  

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

NLRB CATS Final C-Case Data in XML - 2001 NLRB C-Case (Unfair Labor Practice) data from CATS (Case Activity Tracking System) for the period of 01/01/2001 through 12/31/2001. This dataset represents all data that is disclosable under FOIA, for a single calendar year, as obtained from the Agency's Case Activity Tracking System (CATS). Please be aware that from April 2011 through September 9, 2011, the NLRB implemented a new case management system (NxGen) that replaced CATS. This was an ongoing process, and each month, from April through September, additional regions migrated to NxGen, with the data for those regions being retained solely in NxGen. Accordingly, for cases that did not close before a region migrated to NxGen, any information regarding subsequent actions or dispositions that occurred after the region migrated to NxGen was not captured in CATS. Thus, this is the most complete information available from CATS. This supersedes any previous XML data publication by the NLRB on Data.Gov, as significant data review and cleanup was performed in CATS prior to the migration to NxGen. This also represents the final posting of the bulk-data (aka "Data Dump") from CATS. There are some known closing-date errors in this data, reflecting data-entry mistakes within CATS that have been identified and corrected within NxGen. This data has not been corrected within CATS since CATS is no longer the system of record for this Agency. Therefore, if any case shows a closing date beyond 09/30/2011, you can find the corrected closing date on http://www.nlrb.gov, under "Cases & Decisions," "Case Search." NLRB Labor Force, Employment, and Earnings 2013-04-11 13:14:15

157

Agency datasets monthly list | Data.gov  

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

NLRB CATS Final C-Case Data in XML - 2001 NLRB C-Case (Unfair Labor Practice) data from CATS (Case Activity Tracking System) for the period of 01/01/2001 through 12/31/2001. This dataset represents all data that is disclosable under FOIA, for a single calendar year, as obtained from the Agency's Case Activity Tracking System (CATS). Please be aware that from April 2011 through September 9, 2011, the NLRB implemented a new case management system (NxGen) that replaced CATS. This was an ongoing process, and each month, from April through September, additional regions migrated to NxGen, with the data for those regions being retained solely in NxGen. Accordingly, for cases that did not close before a region migrated to NxGen, any information regarding subsequent actions or dispositions that occurred after the region migrated to NxGen was not captured in CATS. Thus, this is the most complete information available from CATS. This supersedes any previous XML data publication by the NLRB on Data.Gov, as significant data review and cleanup was performed in CATS prior to the migration to NxGen. This also represents the final posting of the bulk-data (aka "Data Dump") from CATS. There are some known closing-date errors in this data, reflecting data-entry mistakes within CATS that have been identified and corrected within NxGen. This data has not been corrected within CATS since CATS is no longer the system of record for this Agency. Therefore, if any case shows a closing date beyond 09/30/2011, you can find the corrected closing date on http://www.nlrb.gov, under "Cases & Decisions," "Case Search." NLRB Labor Force, Employment, and Earnings 2013-04-11 13:14:15

158

Transmission/Resource Library/Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Transmission/Resource Library/Resources < Transmission‎ | Resource Library(Redirected from Transmission/Resource Library/Public Involvement) Jump to: navigation, search ResourceLibraryHeader.png Public Involvement Resources GIS Tools and Maps Environmental Resources and Mitigation NEPA MOUs General Transmission Documents Transmission Dashboard Permitting Atlas Compare States Arizona California Colorado Idaho Montana Nevada New Mexico Oregon Utah Washington Wyoming Resource Library NEPA Database Public Participation for Interstate Transmission Public participation is a requirement of any project that must comply with

159

Apps & Ideas - OpenEI Datasets  

Open Energy Info (EERE)

well as ideas for things that could be done with them. Filter Results Filter by type All API Application Idea News Article Paper Post Visualization Sort by Default Most viewed Most...

160

Reforecasts: An Important Dataset for Improving Weather Predictions  

Science Journals Connector (OSTI)

A reforecast (retrospective forecast) dataset has been developed. This dataset is comprised of a 15-member ensemble run out to a 2-week lead. Forecasts have been run every day from 0000 UTC initial conditions from 1979 to the present. The model ...

Thomas M. Hamill; Jeffrey S. Whitaker; Steven L. Mullen

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

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

SciTech Connect (OSTI)

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.

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

2014-03-31T23:59:59.000Z

162

Computer resources Computer resources  

E-Print Network [OSTI]

Computer resources 1 Computer resources available to the LEAD group Cédric David 30 September 2009 #12;Ouline · UT computer resources and services · JSG computer resources and services · LEAD computers· LEAD computers 2 #12;UT Austin services UT EID and Password 3 https://utdirect.utexas.edu #12;UT Austin

Yang, Zong-Liang

163

Simultaneous phase and scatter correction for NMR datasets  

Science Journals Connector (OSTI)

Abstract Nuclear magnetic resonance (NMR) spectroscopy has proven invaluable in the diverse field of chemometrics due to its ability to deliver information-rich spectral datasets of complex mixtures for analysis by techniques such as principal component analysis (PCA). However, NMR datasets present a unique challenge during preprocessing due to differences in phase offsets between individual spectra, thus complicating the correction of random dilution factors that may also occur. We show that simultaneously correcting phase and dilution errors in NMR datasets representative of metabolomics data yields improved cluster quality in PCA scores space, even with significant initial phase errors in the data.

Bradley Worley; Robert Powers

2014-01-01T23:59:59.000Z

164

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

SciTech Connect (OSTI)

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.

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

165

Exploring the Latest Union2 SNIa Dataset by Using Model-Independent Parametrization Methods  

E-Print Network [OSTI]

We explore the cosmological consequences of the recently released Union2 sample of 557 Type Ia supernovae (SNIa). Combining this latest SNIa dataset with the Cosmic microwave background (CMB) anisotropy data from the Wilkinson Microwave Anisotropy Probe 7 year (WMAP7) observations and the baryon acoustic oscillation (BAO) results from the Sloan Digital Sky Survey (SDSS) Data Release 7 (DR7), we measure the dark energy density function $f(z)\\equiv \\rho_{de}(z)/\\rho_{de}(0)$ as a free function of redshift. Two model-independent parametrization methods (the binned parametrization and the polynomial interpolation parametrization) are used in this paper. By using the $\\chi^2$ statistic and the Bayesian information criterion, we find that the current observational data are still too limited to distinguish which parametrization method is better, and a simple model has advantage in fitting observational data than a complicated model. Moreover, it is found that all these parametrizations demonstrate that the Union2 dataset is still consistent with a cosmological constant at 1$\\sigma$ confidence level. Therefore, the Union2 dataset is different from the Constitution SNIa dataset, which more favors a dynamical dark energy.

Shuang Wang; Xiao-Dong Li; Miao Li

2011-01-04T23:59:59.000Z

166

Resource Analysis  

Broader source: Energy.gov [DOE]

Resource Analysis determines the quantity and location of resources needed to produce hydrogen. Additionally, resource analysis quantifies the cost of the resources, as a function of the amount...

167

Offshore Wind Resource | OpenEI  

Open Energy Info (EERE)

Offshore Wind Resource Offshore Wind Resource Dataset Summary Description Global Wind Potential Supply Curves by Country, Class, and Depth (quantities in GW) Source National Renewable Energy Laboratory Date Released July 12th, 2012 (2 years ago) Date Updated July 12th, 2012 (2 years ago) Keywords offshore resource offshore wind renewable energy potential Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon offshore_resource_100_vs2.xlsx (xlsx, 41.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access

168

USLCI Interconnect Region Electricity datasets, 2008 | OpenEI  

Open Energy Info (EERE)

76 76 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278976 Varnish cache server USLCI Interconnect Region Electricity datasets, 2008 Dataset Summary Description Datasets are for the US electricity grid system interconnect regions (ASCC, FRCC, HICC, MRO, NPCC, RFC, SERC, SPP, TRE, WECC) for 2008. The data is provided in life cycle inventory (LCI) forms (both xls and xml). A module report and a detailed spreadsheet are also included.Datasets include generation and transmission of electricity for each of the interconnect regions. It is representative of the year 2008 mix of fuels used for utility generations for each of the interconnect regions and is based on the EIA electricity reports for all power plants in the US. Detailed information on the methodology is included in the module report and detailed spreadsheet.

169

Swedish Energy Agency - Organizations - OpenEI Datasets  

Open Energy Info (EERE)

About Submit Order by Relevance Name Ascending Name Descending Last Modified Go 1 dataset found STIL2 Swedish Office Buildings Survey The STIL2 project has performed a survey...

170

View-Dependent Visualization for Analysis of Large Datasets  

E-Print Network [OSTI]

Due to the impressive capabilities of human visual processing, interactive visualization methods have become essential tools for scientists to explore and analyze large, complex datasets. However, traditional approaches do not account...

Overby, Derek Robert

2012-02-14T23:59:59.000Z

171

Archiving a Complex Dataset:: IST-3 - A case study  

E-Print Network [OSTI]

would include (but not be limited to) drug regulatory agencies, research governance organisations, lawyers and scientists wishing to analyse the data under appropriate data sharing licences. The trial datasets therefore had to be understood as a whole so...

Drever, Jonathan

2014-08-26T23:59:59.000Z

172

A survey of results on mobile phone datasets analysis  

E-Print Network [OSTI]

In this paper, we review some advances made recently in the study of mobile phone datasets. This area of research has emerged a decade ago, with the increasing availability of large-scale anonymized datasets, and has grown into a stand-alone topic. We will survey the contributions made so far on the social networks that can be constructed with such data, the study of personal mobility, geographical partitioning, urban planning, and help towards development as well as security and privacy issues.

Blondel, Vincent D; Krings, Gautier

2015-01-01T23:59:59.000Z

173

Determining Mountaintop Mining Locations in West Virginia Using Elevation Datasets  

E-Print Network [OSTI]

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 20021970s SRTM Subtracted from...

Rowland, Danny

2009-11-18T23:59:59.000Z

174

Sampling Within k-Means Algorithm to Cluster Large Datasets  

SciTech Connect (OSTI)

Due to current data collection technology, our ability to gather data has surpassed our ability to analyze it. In particular, k-means, one of the simplest and fastest clustering algorithms, is ill-equipped to handle extremely large datasets on even the most powerful machines. Our new algorithm uses a sample from a dataset to decrease runtime by reducing the amount of data analyzed. We perform a simulation study to compare our sampling based k-means to the standard k-means algorithm by analyzing both the speed and accuracy of the two methods. Results show that our algorithm is significantly more efficient than the existing algorithm with comparable accuracy. Further work on this project might include a more comprehensive study both on more varied test datasets as well as on real weather datasets. This is especially important considering that this preliminary study was performed on rather tame datasets. Also, these datasets should analyze the performance of the algorithm on varied values of k. Lastly, this paper showed that the algorithm was accurate for relatively low sample sizes. We would like to analyze this further to see how accurate the algorithm is for even lower sample sizes. We could find the lowest sample sizes, by manipulating width and confidence level, for which the algorithm would be acceptably accurate. In order for our algorithm to be a success, it needs to meet two benchmarks: match the accuracy of the standard k-means algorithm and significantly reduce runtime. Both goals are accomplished for all six datasets analyzed. However, on datasets of three and four dimension, as the data becomes more difficult to cluster, both algorithms fail to obtain the correct classifications on some trials. Nevertheless, our algorithm consistently matches the performance of the standard algorithm while becoming remarkably more efficient with time. Therefore, we conclude that analysts can use our algorithm, expecting accurate results in considerably less time.

Bejarano, Jeremy [Brigham Young University; Bose, Koushiki [Brown University; Brannan, Tyler [North Carolina State University; Thomas, Anita [Illinois Institute of Technology; Adragni, Kofi [University of Maryland; Neerchal, Nagaraj [University of Maryland; Ostrouchov, George [ORNL

2011-08-01T23:59:59.000Z

175

Agency datasets monthly list | Data.gov  

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

Law Enforcement Agency Identifiers Crosswalk, 1996 The crosswalk file is designed to provide geographic and other identification information for each record included in either the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program files or in the Bureau of Justice Statistics' Census of State and Local Law Enforcement Agencies (CSLLEA). The main variables each record contains are the alpha state code, county name, place name, government agency name and type, police agency name, government identification number, Federal Information Processing Standards (FIPS) state, county, and place codes, and Originating Agency Identifier (ORI) code. These variables allow a researcher to take agency-level data, combine it with Bureau of the Census and BJS data, and perform place-level and government-level analyses. DOJ BJS Law Enforcement, Courts, and Prisons 2013-05-03 14:51:53

176

Agency datasets monthly list | Data.gov  

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

Formal Enforcement Actions Fiscal Year 2012 The annual data tables contained in this document provide summary statistics on the civil enforcement activities of the United States Trustee Program. These tables summarize data for Fiscal Year 2006 through Fiscal Year 2012 (October 1, 2005 through September 30, 2012). This report covers formal actions. Formal actions include all motions, complaints, and objections filed by Program personnel with the bankruptcy court seeking some type of relief. DOJ USTP Income, Expenditures, Poverty, and Wealth 2013-02-07 14:09:59 Formal Enforcement Actions Fiscal Year 2012 The annual data tables contained in this document provide summary statistics on the civil enforcement activities of the United States Trustee Program. These tables summarize data for Fiscal Year 2006 through Fiscal Year 2012 (October 1, 2005 through September 30, 2012). This report covers formal actions. Formal actions include all motions, complaints, and objections filed by Program personnel with the bankruptcy court seeking some type of relief. DOJ USTP Income, Expenditures, Poverty, and Wealth 2013-02-07 14:09:59 Litigation Outcomes Fiscal Year 2012 The annual data tables contained in this document provide summary statistics on the civil enforcement activities of the United States Trustee Program. These tables summarize data for Fiscal Year 2006 through Fiscal Year 2012 (October 1, 2005 through September 30, 2012). This report covers litigation outcomes. Successful Litigation Outcomes include outcomes where the court entered an order granting the relief sought by the United States Trustee, in whole or in part, or the defendant agreed to other relief satisfactory to the United States Trustee. DOJ USTP Income, Expenditures, Poverty, and Wealth 2013-02-07 14:09:59

177

Cuming County, Nebraska: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Cuming County, Nebraska: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9540153°, -96.8350999° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.9540153,"lon":-96.8350999,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

178

Saint Vincent and the Grenadines: Energy Resources | Open Energy  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Saint Vincent and the Grenadines: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":13.0833333,"lon":-61.2,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

179

Carroll County, Iowa: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Carroll County, Iowa: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 42.0566912°, -94.8105955° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.0566912,"lon":-94.8105955,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

180

Turks and Caicos Islands: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Turks and Caicos Islands: Energy Resources (Redirected from Turks & Caicos Islands) Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":21.73333,"lon":-71.58333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Washington County, Colorado: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Washington County, Colorado: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.063745°, -102.989615° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.063745,"lon":-102.989615,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

182

Energy Information, Data, and other Resources | OpenEI  

Open Energy Info (EERE)

Main Page Main Page Jump to: navigation, search Your Gateway to the World's Energy Information and Data buildings geothermal hydrogen smart grid solar utilities water wind Since 2009, 6,248 users and bots have contributed 728,676 edits on 178,035 pages. See the impact we're having. Follow OpenEI on: FaceBook 32x32.png Twitter 32x32.png Youtube 32x32.png Search Find Energy Resources by region World Outline.png by type datasets, docs, maps updates from the community developer resources Recent Community Activity Not seeing a widget? (More info) Featured on OpenEI TCDB frontpage promo 188px.png Green Button Apps Promo 188px.png FREDpromo.png 188png Popular Content (Visits/Week) Not seeing a widget? (More info) Get Involved SXC.HU Stock Photo 1005737 arm with plant transparent flipped.png

183

NREL: Renewable Resource Data Center - Wind Resource Information  

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

Wind Resource Information Wind Resource Information Photo of five wind turbines at the Nine Canyon Wind Project. The Nine Canyon Wind Project in Benton County, Washington, includes 37 wind turbines and 48 MW of capacity. Detailed wind resource information can be found on NREL's Wind Research Web site. This site provides access to state and international wind resource maps. Wind Integration Datasets are provided to help energy professionals perform wind integration studies and estimate power production from hypothetical wind plants. In addition, RReDC offers Meteorological Field Measurements at Potential and Actual Wind Turbine Sites and a Wind Energy Resource Atlas of the United States. Wind resource maps are also available from the NREL Dynamic Maps, GIS Data, and Analysis Tools Web site.

184

Category:State Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:State Wind Resources Jump to: navigation, search Category containing State Wind Resources Pages in category "State Wind Resources" The following 100 pages are in this category, out of 100 total. A Alabama/Wind Resources Alabama/Wind Resources/Full Version Alaska/Wind Resources Alaska/Wind Resources/Full Version Arizona/Wind Resources Arizona/Wind Resources/Full Version Arkansas/Wind Resources Arkansas/Wind Resources/Full Version C California/Wind Resources California/Wind Resources/Full Version Colorado/Wind Resources Colorado/Wind Resources/Full Version

185

SEMASS Resource Recovery Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » SEMASS Resource Recovery Biomass Facility Jump to: navigation, search Name SEMASS Resource Recovery Biomass Facility Facility SEMASS Resource Recovery Sector Biomass Facility Type Municipal Solid Waste Location Plymouth County, Massachusetts Coordinates 41.9120406°, -70.7168469° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.9120406,"lon":-70.7168469,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

186

Research - Resources | Data.gov  

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

Resources Resources Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research Resources/Other Data Sources This section contains links to data and datasets provided by both Federal and non-Federal sources. If you find the resources useful, or have suggestions for other links, let us know through the forums. Please note that you will be leaving the Data.Gov website to access these resources. Science.Gov Science.gov searches over 50 databases and over 2100 selected websites from 13 Federal agencies, offering 200 million pages of authoritative U.S. government science information including research and development results. Science.gov is governed by the interagency Science.gov Alliance. Research.Gov Research.gov is the National Science Foundation's (NSF) grants management

187

A Comparison of State-of-the-Art Technologies for Irreversible Compression of Large Medical Datasets  

E-Print Network [OSTI]

Datasets Alberto Signoroni, Mario Pezzoni, Claudia Tonoli and Riccardo Leonardi University of Brescia datasets, also keep- ing into account relevant features related to modern appli- cation requirements and infrastructures (PACS, teleradiology) involving large datasets. Reproducibility and possible extension

Signoroni, Alberto

188

Multiresolution Approaches to Representation and Visualization of Large Influenza Virus Sequence Datasets  

E-Print Network [OSTI]

Datasets Leonid Zaslavsky National Center for Biotechnology Information National Library of Medicine dataset is characterized by low estimated values of the Kolmogorov (box) dimension. Multi- scale methodologies allow interactive visual representation of the dataset and accelerate computations by importance

Levin, Judith G.

189

Using R-trees for Interactive Visualization of Large Multidimensional Datasets  

E-Print Network [OSTI]

for large dimensionalities and large datasets since standard visualization interfaces are constrained, multidimensional datasets are difficult to visualize and analyze. Visualization interfaces are constrained Introduction As measuring instruments advance technologically, datasets increase in both dimension and quantity

Rosenbaum, Rene

190

India-Natural Resource Management Plan | Open Energy Information  

Open Energy Info (EERE)

Government of India Sector Land Focus Area Forestry, Agriculture Topics Implementation, Policiesdeployment programs, Resource assessment Resource Type Guidemanual Website http:...

191

DOE Launches New Dataset on its Environmental Reviews | Department of  

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

Dataset on its Environmental Reviews Dataset on its Environmental Reviews DOE Launches New Dataset on its Environmental Reviews January 28, 2010 - 1:44pm Addthis Washington, DC - To further transparency and openness in its implementation of the National Environmental Policy Act (NEPA), the Department of Energy (DOE) has created a comprehensive database of categorical exclusion (CX) determinations. The information is available at Data.gov and the DOE NEPA Website. This initiative supports the Obama Administration's Open Government Directive and provides easy access to useful information regarding DOE's compliance with NEPA. "This sets a new standard of transparency for the Federal government's implementation of NEPA," said Scott Blake Harris, DOE General Counsel, "and shines a light on an important part of our

192

DOE Launches New Dataset on its Environmental Reviews | Department of  

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

Launches New Dataset on its Environmental Reviews Launches New Dataset on its Environmental Reviews DOE Launches New Dataset on its Environmental Reviews January 28, 2010 - 1:44pm Addthis Washington, DC - To further transparency and openness in its implementation of the National Environmental Policy Act (NEPA), the Department of Energy (DOE) has created a comprehensive database of categorical exclusion (CX) determinations. The information is available at Data.gov and the DOE NEPA Website. This initiative supports the Obama Administration's Open Government Directive and provides easy access to useful information regarding DOE's compliance with NEPA. "This sets a new standard of transparency for the Federal government's implementation of NEPA," said Scott Blake Harris, DOE General Counsel, "and shines a light on an important part of our

193

Multivariate Protein Signatures of Pre-Clinical Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative (ADNI) Plasma Proteome Dataset  

E-Print Network [OSTI]

these samples. Following dataset pruning, 17 analytes passedwere incorporated back into the dataset for assessment ofADNI) Plasma Proteome Dataset Daniel Johnstone 1,2 ,

Johnstone, Daniel; Milward, Elizabeth A.; Berretta, Regina; Moscato, Pablo

2012-01-01T23:59:59.000Z

194

Development and evaluation of a thermodynamic dataset for phases of interest in CO2 mineral sequestration in basaltic rocks  

E-Print Network [OSTI]

evaluation of a thermodynamic dataset for phases of interestKeywords: Thermodynamic dataset CO2water basaltABSTRACT A thermodynamic dataset describing 36 mineral

Aradottir, E.S.P.

2013-01-01T23:59:59.000Z

195

WINDExchange: Wind Economic Development Resources and Tools  

Wind Powering America (EERE)

page lists wind-related economic development resources and tools such as publications, Web resources, and news. Search the WINDExchange Database Choose a Type of Information All...

196

Zeb: Software for integration, display, and management of diverse environmental datasets  

SciTech Connect (OSTI)

This paper describes the Zeb software for integration, display, and management of diverse environmental datasets. Zeb's primary use is for the superpositioning of observational datasets (such as those collected by satellite, radar, mesonet, and aircraft) and analysis products (such as model results, dual-Doppler synthesis, or algorithm output). Data may be overlaid on a variety of display types, including constant altitude planes, vertical cross sections, X-Y graphs, skew T plots, and time-height profiles. The fields for display, color tables, contour intervals, and various other display options are defined using an icon-based user interface. This highly flexible system allows scientific investigators to interactively superimpose and highlight diverse datasets, thus aiding data interpretation. Data handling capabilities permit external analysis programs to be easily linked with display and data storage processes. The data store accepts incoming data, stores it on disk, and makes it available to processes that need it. An application library is available for data handling. The library functions allow data storage, retrieval, and queries using a single applications interface, regardless of the data's source and organization. The software system runs Unix and the X Window system. Zeb has been used for real-time project control as well as data interpretation at investigator's home institutions. Features and implementation are explained along with examples of graphic output. 15 refs., 2 figs., 3 tabs.

Corbet, J.; Mueller, C.; Burghart, C.; Gould, K.; Granger, G. (National Center for Atmospheric Research, Boulder, CO (United States))

1994-05-01T23:59:59.000Z

197

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Data Resources  

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

Bookmark and Share Bookmark and Share Data Resources NREL's Geographic Information System (GIS) team develops technology-specific GIS data maps for a variety of areas, as well as targeted analysis tools that can help determine availability of renewable energy resources. Geographic Information System Data NREL's GIS Team develops technology-specific GIS data maps for a variety of areas, including biomass, geothermal, solar, wind, and renewable hydrogen. The team has made some of our datasets available for download through this Web site. 10km and 40km solar datasets are available for the United States and some international sites. 50m wind datasets are available for specific states, regions and some international sites. 25km wind datasets are available for the United States. 90m offshore wind datasets are available

198

Energy Data Initiative/Resources | Open Energy Information  

Open Energy Info (EERE)

< Energy Data Initiative < Energy Data Initiative Jump to: navigation, search Energy Data Initiative Crystal Clear filesystem socket.png Energy Data Jam Crystal Clear filesystem socket.png Energy Datapalooza Training.jpg Resources Partners.jpg Community Energy Data Jam Resources Title File Breakout Session Groups Breakout Session Groups Breakout Session Guidance Breakout Session Guidance Green Button Initiative Green Button Initiative - Energy Data Jam Presentation Selected Data Sets Selected Data Sets A Presentation on the value of Open Energy Information Open Energy Information Presentation Datasets Tools Datasets Tools Energy Data Jam Datasets Title Dataset Link DOE's Buildings Performance Database, sample data in csv. Dataset Energy Data Jam Tear Sheets This is a gallery view of 11 tear sheets from the energy data jam. If you

199

NEW WEB-BASED ACCESS TO NUCLEAR STRUCTURE DATASETS.  

SciTech Connect (OSTI)

As part of an effort to migrate the National Nuclear Data Center (NNDC) databases to a relational platform, a new web interface has been developed for the dissemination of the nuclear structure datasets stored in the Evaluated Nuclear Structure Data File and Experimental Unevaluated Nuclear Data List.

WINCHELL,D.F.

2004-09-26T23:59:59.000Z

200

New Web?Based Access to Nuclear Structure Datasets  

Science Journals Connector (OSTI)

As part of an effort to migrate the NNDC databases to a relational platform a new Web interface has been developed for the dissemination of the nuclear?structure datasets stored in the Evaluated Nuclear Structure Data File and Experimental Unevaluated Nuclear Data List.

D. F. Winchell

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

A Polygon-based Methodology for Mining Related Spatial Datasets  

E-Print Network [OSTI]

, such as countries, and in that they can be used for the modeling of spatial events, such as air pollution. MoreoverA Polygon-based Methodology for Mining Related Spatial Datasets Sujing Wang, Chun-Sheng Chen clusters. This paper claims that polygon analysis is particularly useful for mining related, spatial

Eick, Christoph F.

202

The Vernissage Corpus: A Conversational Human-Robot-Interaction Dataset  

E-Print Network [OSTI]

scenario involves a humanoid robot NAO1 explaining paintings in a room and then quizzing the participantsThe Vernissage Corpus: A Conversational Human-Robot-Interaction Dataset Dinesh Babu Jayagopi1.wrede, bwrede@techfak}.uni-bielefeld.de Abstract--We introduce a new conversational Human-Robot- Interaction

Gatica-Perez, Daniel

203

Global Sediment Thickness Dataset updated for the Australian-Antarctic  

E-Print Network [OSTI]

Global Sediment Thickness Dataset updated for the Australian-Antarctic Southern Ocean Joanne author: jo.whittaker@utas.edu.au Key Points - Global minimum sediment thickness compilation updated for Australia Antarctica - Sediment thicknesses computed from seismic reflection and refraction data - Sediment

Müller, Dietmar

204

Capturing Datasets ... is only the half of it!  

E-Print Network [OSTI]

that the project is merely a stepping stone in providing the ability to deliver their science. In the majority of cases the research continues from one grant to the next and therefore the datasets at any given time are merely snap shots of a lifelong commitment...

Simpson, Colin

2014-08-26T23:59:59.000Z

205

Eastern Renewable Generation Integration Study Solar Dataset (Presentation)  

SciTech Connect (OSTI)

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.

Hummon, M.

2014-04-01T23:59:59.000Z

206

A Dataset and Taxonomy for Urban Sound Research  

Science Journals Connector (OSTI)

Automatic urban sound classification is a growing area of research with applications in multimedia retrieval and urban informatics. In this paper we identify two main barriers to research in this area - the lack of a common taxonomy and the scarceness ... Keywords: classification, dataset, taxonomy, urban sound

Justin Salamon, Christopher Jacoby, Juan Pablo Bello

2014-11-01T23:59:59.000Z

207

Marketing Resources  

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

Expand Utility Resources News & Events Expand News & Events Skip navigation links Marketing Resources Reports, Publications, and Research Utility Toolkit Informational...

208

Geothermal Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Geothermal Resources Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Geothermal Resources There are a number of different resource potential estimates that have been developed. A few are listed below. NREL Geothermal Favorability Map NREL Supply Characterization and Representation In 2011, NREL conducted an analysis to characterize and represent the supply of electricity generation potential from geothermal resources in the United States. The principal products were: Capacity Potential Estimates - quantitative estimates of the potential electric capacity of U.S. geothermal resources

209

resource assessment | OpenEI  

Open Energy Info (EERE)

resource assessment resource assessment Dataset Summary Description Reduction of global greenhouse gas emission to arrest global warming requires minimizing the use of fossil fuels. To achieve this a large scale use of renewable energies must be made over the globe for production of electrical and thermal energy. Success of wind and solar energy projects require detailed and precise information on the resources. For most developing countries adequate information on the resources are not available. Source Renewable Energy Research Centre, University of Dhaka Date Released February 19th, 2007 (7 years ago) Date Updated Unknown Keywords Feasibility Study resource assessment Solar Energy SWERA Bangladesh Wind Energy Data application/pdf icon swera_bangladesh_fullreport.pdf (pdf, 2.7 MiB)

210

'g55wld0098.dat', Version 1.0, March 1999 1. The Dataset  

E-Print Network [OSTI]

1 'g55wld0098.dat', Version 1.0, March 1999 1. The Dataset: An historic monthly precipitation dataset for global land areas from 1900 to 1998, gridded at 5deg resolution (a 2.5 by 3.75deg resolution. Letts., 25, 3379-3382. The station dataset from which this gridded dataset has been constructed

Feigon, Brooke

211

RED: a Rich Epinions Dataset for Recommender Systems Simon Meyffret1,2  

E-Print Network [OSTI]

RED: a Rich Epinions Dataset for Recommender Systems Simon Meyffret1,2 , Emmanuel Guillot1}@liris.cnrs.fr ABSTRACT Recommender Systems require specific datasets to evaluate their approach. They do not require is not gathered in today datasets. In this paper, we provide a dataset containing reviews from users on items

Paris-Sud XI, Université de

212

A Comparison of Phylogenetic Reconstruction Methods on an IE Dataset Luay Nakhleh Tandy Warnow  

E-Print Network [OSTI]

A Comparison of Phylogenetic Reconstruction Methods on an IE Dataset Luay Nakhleh Tandy Warnow Dept the dataset, we study the consequences for phylogenetic reconstruction of restricting the data to lexical datasets that use only lexical characters being probably less accurate than analyses based upon datasets

Evans, Steven N.

213

The 30-year TAMSAT African Rainfall Climatology1 And Time-series (TARCAT) Dataset  

E-Print Network [OSTI]

Page 1 The 30-year TAMSAT African Rainfall Climatology1 And Time-series (TARCAT) Dataset 2 Authors 2 Key points1 Development of a satellite based 30 year rainfall dataset for Africa2 The dataset has been designed to be temporally consistency3 The dataset skilfully captures interannual

Allan, Richard P.

214

Exploring Constraints to Eciently Mine Emerging Patterns from Large High-dimensional Datasets  

E-Print Network [OSTI]

Exploring Constraints to E?ciently Mine Emerging Patterns from Large High-dimensional Datasets proposed recently to capture changes or di#11;erences between datasets: an EP is a multi- variate feature whose support increases sharply from a back- ground dataset to a target dataset, and the support ratio

Dong, Guozhu

215

To appear in Proc. KDD-97 A dataset decomposition approach to  

E-Print Network [OSTI]

To appear in Proc. KDD-97 A dataset decomposition approach to data mining and machine discovery to analyze a given dataset, the method decomposes it to a hierar- chy of smaller and less complex datasets allocation dataset, showing that the decom- position can (1) discover meaningful intermedi- ate concepts, (2

Bohanec, Marko

216

An air itinerary choice model based on a mixed RP/SP dataset  

E-Print Network [OSTI]

An air itinerary choice model based on a mixed RP/SP dataset Bilge Atasoy Michel Bierlaire April/SP dataset. The aim of the combination of the two datasets is to exploit the variability of the SP data is modeled as a latent class. In this study we develop an itinerary choice model based on a real dataset

Bierlaire, Michel

217

Processing Steps For Creating Standardized 5-Minute-by-Lane Datasets  

E-Print Network [OSTI]

1 Processing Steps For Creating Standardized 5-Minute-by-Lane Datasets (program code in "city measures. · Dataset DS1: Import original source data into SAS using INFILE statement. In SAS, we give this first dataset a "DS1" label (DataSet1). Most, if not all, original source data is submitted as ASCII

218

'gu23wld0098.dat', Version 1.0, March 1999 1. The Dataset  

E-Print Network [OSTI]

'gu23wld0098.dat', Version 1.0, March 1999 1. The Dataset An historical monthly precipitation dataset for global land areas from 1900 to 1998, gridded at 2.5° latitude by 3.75° longitude resolution (a. Letts., 25, 3379-3382. The station dataset from which this gridded dataset has been constructed

Feigon, Brooke

219

On the Use of Perceptual Cues and Data Mining for Effective Visualization of Scientific Datasets  

E-Print Network [OSTI]

On the Use of Perceptual Cues and Data Mining for Effective Visualization of Scientific Datasets datasets are often difficult to analyse or visualize, due to their large size and high dimensionality. We areas of interest within the dataset. This allows us to reducea dataset's size and dimensionality

Healey, Christopher G.

220

Effects of the Training Dataset Characteristics on the Performance of Nine Species Distribution Models  

E-Print Network [OSTI]

Effects of the Training Dataset Characteristics on the Performance of Nine Species Distribution species need to be fitted to a training dataset before practical use. The training dataset of this paper is to study the effect of the training dataset characteristics on model performance and to compare

Kratochvíl, Lukas

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

The LIRIS Human activities dataset and the ICPR 2012 human activities recognition and localization competition  

E-Print Network [OSTI]

The LIRIS Human activities dataset and the ICPR 2012 human activities recognition and localization-69621, France March 28, 2012 Abstract We describe the LIRIS human activities dataset, the dataset used competitions and existing datasets, the tasks focus on complex human behavior involving several people

Wolf, Christian

222

Resource Data File - Alaska (ARDF) | Data.gov  

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

Resource Data File - Alaska (ARDF) Resource Data File - Alaska (ARDF) Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research » Data Resource Data File - Alaska (ARDF) Dataset Summary Description The value of mineral production by state in the United States. The data represent commodities covered by the Minerals Information Team of the U.S. Geological Survey. Tags {Alaska,value,mineral,production,state,United,commodities,Minerals,information,Team,USGS,"federal data download",environment,"mining industry",economy,"economic geology","mineral resources","federal datasets",environment,mines,prospects,"mineral occurrences",gold,silver} Dataset Ratings Overall 0 No votes yet Data Utility

223

Pacific Northwest Region MAPS dataset retrospective analysis Project Title: USFS Region Six MAPS Dataset Re-analysis for the Development of Management  

E-Print Network [OSTI]

Pacific Northwest Region MAPS dataset ­ retrospective analysis Project Title: USFS Region Six MAPS Dataset Re-analysis for the Development of Management and Climate Change Support Tools for Landbird) demographic dataset may reveal how predicted patterns of climate-related forest fragmentation, pest outbreak

DeSante, David F.

224

Figure 1. The dataset for the running example is excerpted at left, arranged in the typical manner for MVPA. The boxes at right introduce the dataset  

E-Print Network [OSTI]

Figure 1. The dataset for the running example is excerpted at left, arranged in the typical manner for MVPA. The boxes at right introduce the dataset representation used in later figures. In these boxes the "dataset-wise" scheme, the examples are relabeled prior to conducting the cross- validation, while

225

Madrid, Spain: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Madrid, Spain: Energy Resources Jump to: navigation, search Equivalent URI DBpedia GeoNames ID 3117735 Coordinates 40.4165°, -3.70256° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.4165,"lon":-3.70256,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

226

Operating System Resource Management  

E-Print Network [OSTI]

Operating System Resource Management Date: Monday, September 27, 2010 Time: 2:00 ­ 3:00 pm Location allocation and de-allocation by an operating system of processor cores, memory pages, and various types constrained. This talk will propose a scheme for addressing the operating system resource management problem

227

Wind Resources in Alaska | OpenEI  

Open Energy Info (EERE)

Resources in Alaska Resources in Alaska Dataset Summary Description Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and 100 meters and wind power density (W/m^2) at a hub height of 50 meters for a 40,000 square meter area. The additional gridded wind parameter data includes data for points spaced 2 kilometers apart, and include: predicted wind speed frequency distribution as well as speed and energy in 16 directions (the information needed to produce a wind rose image at a given point). Data included here as .kml files (for viewing in Google Earth). GIS shape files available for the gridded wind parameters datasets from AEDI (http://akenergyinventory.org/data.shtml).

228

TEMPORARY SUPPORT HUMAN RESOURCES  

E-Print Network [OSTI]

TEMPORARY SUPPORT HUMAN RESOURCES GUIDELINE Workforce Planning | One Washington Square | San José of the Request for Temporary Support, Workforce Planning will make a determination of the type of temporary

Su, Xiao

229

Parton distributions based on a maximally consistent dataset  

E-Print Network [OSTI]

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.

Juan Rojo

2014-09-10T23:59:59.000Z

230

Teacher Resource Center: Curricular Resources  

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

Curricular Resources Curricular Resources TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The Teacher Resource Center provides workshops and consultations on Mathematics and Science Curriculum development. Here are a list of resources for educators. See the 'Customized Workshops" link in the "Teacher's Lounge" for information about more workshops available through the TRC. Key Science Resources for Curriculum Planning Key Science Resources for Curriculum Planning

231

Help:Energy Hackathon Resources | Open Energy Information  

Open Energy Info (EERE)

Help page Help page Edit History Facebook icon Twitter icon » Help:Energy Hackathon Resources Jump to: navigation, search Energy Hackathon Resources (Data, APIs, Examples) for Cleanweb Hacks and Energy Mashups Join the OpenEI Energy Developer Community! Community-banner.jpg The OpenEI Developer Community is a great place to have meaningful conversations around energy datasets and APIs. Also available: energy programmer Q&A. With your log-in account, ask questions on energy development issues, find APIs and be a part of discussions that are shaping the future of open energy data and resources. Browse Energy APIs Energy API browser promo.jpg NEW: browse energy APIs available to developers! style=clear: both Energy datasets OpenEI now federates datasets from a variety of resources. Check out its

232

Seychelles: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Seychelles: Energy Resources Jump to: navigation, search Loading map... "minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":"ROADMAP","SATELLITE","HY...

233

Libya: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Libya: Energy Resources Jump to: navigation, search Loading map... "minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":"ROADMAP","SATELLITE","HYBRID"...

234

Somalia: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Somalia: Energy Resources Jump to: navigation, search Loading map... "minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":"ROADMAP","SATELLITE","HYBRI...

235

Constructing Collaborative Desktop Storage Caches for Large Scientific Datasets  

SciTech Connect (OSTI)

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.

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

236

The Group Evolution Multiwavelength Study (GEMS): the Sample and Datasets  

E-Print Network [OSTI]

Galaxy groups have been under-studied relative to their richer counterparts -- clusters. The Group Evolution Multiwavelength Study (GEMS) aims to redress some the balance. Here we describe the GEMS sample selection and resulting sample of 60 nearby (distance dataset of X-ray, optical and HI imaging. ROSAT X-ray images of each group are presented. GEMS also utilizes near-infrared imaging from the 2MASS survey and optical spectra from the 6dFGS. These observational data are complemented by mock group catalogues generated from the latest LCDM simulations with gas physics included. Existing GEMS publications are briefly highlighted as are future publication plans.

Duncan A. Forbes; Trevor Ponman; Frazer Pearce; John Osmond; Virginia Kilborn; Sarah Brough; Somak Raychaudhury; Carole Mundell; Trevor Miles; Katie Kern

2006-02-09T23:59:59.000Z

237

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

Broader source: Energy.gov [DOE]

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

238

Musculoskeletal simulation model generation from MRI datasets and motion capture data  

E-Print Network [OSTI]

Musculoskeletal simulation model generation from MRI datasets and motion capture data Jérôme Schmid

Paris-Sud XI, Université de

239

Deciphering subcellular processes in live imaging datasets via dynamic probabilistic networks  

Science Journals Connector (OSTI)

......subcellular processes in live imaging datasets via dynamic probabilistic networks...analysis of rich live cell datasets remains a new expanding area...analysis of fluorescently labeled nuclear structures: problems, methods...subcellular processes in live imaging datasets via dynamic probabilistic networks......

Kresimir Letinic; Rafael Sebastian; Andrew Barthel; Derek Toomre

2010-08-15T23:59:59.000Z

240

Attribute Preserving Dataset Simplification Jason D. Walter and Christopher G. Healey  

E-Print Network [OSTI]

Attribute Preserving Dataset Simplification Jason D. Walter and Christopher G. Healey Department of feature preserving mesh simplification to the problem of managing large, multidimensional datasets during scientific visualization. To allow this, we view a sci- entific dataset as a triangulated mesh of data

Healey, Christopher G.

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

THE MILLION SONG DATASET Thierry Bertin-Mahieux, Daniel P.W. Ellis  

E-Print Network [OSTI]

THE MILLION SONG DATASET Thierry Bertin-Mahieux, Daniel P.W. Ellis Columbia University LabROSA, EE {brian, paul}@echonest.com ABSTRACT We introduce the Million Song Dataset, a freely-available collection research dataset in our field. As an illustra- tion, we present year prediction as an example application

Ellis, Dan

242

CVS-Vintage: A Dataset of 14 CVS Repositories of Java Software  

E-Print Network [OSTI]

CVS-Vintage: A Dataset of 14 CVS Repositories of Java Software Martin Monperrus and Matias Martinez INRIA Technical Report, 2012. Abstract This paper presents a dataset of 14 CVS repositories of Java applications. This dataset aims at supporting the replication of early papers in the field of software

Paris-Sud XI, Université de

243

LCAV-31: A Dataset for Light Field Object Recognition Alireza Ghasemi , Nelly Afonso and Martin Vetterli  

E-Print Network [OSTI]

LCAV-31: A Dataset for Light Field Object Recognition Alireza Ghasemi , Nelly Afonso and Martin present LCAV-31, a multi-view object recognition dataset designed specifically for benchmarking light field image analysis tasks. The principal distinctive factor of LCAV-31 compared to similar datasets

Vetterli, Martin

244

A tail strength measure for assessing the overall significance in a dataset  

E-Print Network [OSTI]

A tail strength measure for assessing the overall significance in a dataset Jonathan Taylor Robert, and illustrate its use on a number of real datasets. 1 Introduction Dave et al. (2004) published a study we would expect to see by chance. Perhaps this is why the Golub dataset has become the most common

Tibshirani, Robeert

245

COMP-598: Applied Machine Learning Mini-project #1: Building a new ML dataset  

E-Print Network [OSTI]

COMP-598: Applied Machine Learning Mini-project #1: Building a new ML dataset Due on September 23, 11:59pm. Background: The goal of this project is to collect a new machine learning dataset, and identify an interesting prediction question that can be tackled using this dataset (regression

Pineau, Joelle

246

EVITA: A Prototype System for Efficient Visualization and Interrogation of Terascale Datasets  

E-Print Network [OSTI]

EVITA: A Prototype System for Efficient Visualization and Interrogation of Terascale Datasets Raghu and visualization techniques has not kept pace with the growth in size and complexity of such datasets. To address datasets. The cornerstone of the EVITA system is a representational scheme that allows ranked access

Fowler, James E.

247

OBIT DEVELOPMENT MEMO SERIES NO. 21 1 Efficacy of Obit Threading on an EVLA Dataset  

E-Print Network [OSTI]

OBIT DEVELOPMENT MEMO SERIES NO. 21 1 Efficacy of Obit Threading on an EVLA Dataset W. D. Cotton, R of the Obit wide bandwidth imager MFImage in realistic tests on an EVLA dataset including multiple iterations://www.cv.nrao.edu/bcotton/Obit.html) to do wide- band imaging of a recent EVLA dataset. This test uses multiple iterations of self

Groppi, Christopher

248

AHIS Dataset Search Engine: An intelligent approach to EML Data Management  

E-Print Network [OSTI]

AHIS Dataset Search Engine: An intelligent approach to EML Data Management Hung V. Nguyen, Corinna Language ­ EML format. Efficient dataset retrieval system needs to understand the important keywords with text mining techniques for ecological datasets to bridge this gap Technique: · Data extraction: Extract

Hall, Sharon J.

249

VIVDR -Vortex-induced vibration data repository An overview of available riser datasets  

E-Print Network [OSTI]

VIVDR - Vortex-induced vibration data repository An overview of available riser datasets http://oe.mit.edu/VIV H. Mukundan and M. Triantafyllou 20 April 2008 #12;NDP 38m long riser model datasets #12;33 q Rig q Tension applied through spring-supported clump weights NDP 38m long riser model datasets

250

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

E-Print Network [OSTI]

ComSIS Vol. 1, No. 1, February 2004 75 Network Models of Massive Datasets Vladimir Boginski 1 overview of the methodology of modeling massive datasets arising in various applications as networks. This approach is often useful for extracting non-trivial information from the datasets by applying standard

Butenko, Sergiy

251

iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets (Version 3)  

E-Print Network [OSTI]

iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets (Version 3) Keke and high-quality clustering of large datasets continues to be one of the most important problems in large- scale data analysis. A commonly used methodology for cluster analysis on large datasets is the three

Liu, Ling

252

Bootstrapping for Significance of Compact Clusters in Multi-dimensional Datasets  

E-Print Network [OSTI]

Bootstrapping for Significance of Compact Clusters in Multi-dimensional Datasets Ranjan Maitra in the clustering of multi-dimensional datasets. The developed procedure compares two models and declares the more of the procedure is illustrated on two well-known classification datasets and comprehensively evaluated in terms

Maitra, Ranjan

253

Selecting the Number of Imputed Datasets When Using Multiple Imputation for Missing Data and Disclosure Limitation  

E-Print Network [OSTI]

Selecting the Number of Imputed Datasets When Using Multiple Imputation for Missing Data and disclosure limitation simultaneously. First, fill in the missing data to generate m completed datasets, then replace confidential values in each completed dataset with r imputations. I investigate how to select m

Reiter, Jerome P.

254

A tail strength measure for assessing the overall significance in a dataset  

E-Print Network [OSTI]

A tail strength measure for assessing the overall significance in a dataset Jonathan Taylor, and illustrate its use on a number of real datasets. 1 Introduction Dave et al. (2004) published a study than we would expect to see by chance. Perhaps this is why the Golub dataset has become the most common

Tibshirani, Robeert

255

Mining Image Datasets Using Perceptual Association Rules Jelena Tesic, Shawn Newsam and B. S. Manjunath  

E-Print Network [OSTI]

Mining Image Datasets Using Perceptual Association Rules Jelena Tesi´c, Shawn Newsam and B. S for applying traditional data mining techniques to the non-traditional domain of image datasets for the purpose association rules, are used to distill the frequent perceptual events in large image datasets in order to dis

California at Santa Barbara, University of

256

GeoLens: Enabling Interactive Visual Analytics over Large-scale, Multidimensional Geospatial Datasets  

E-Print Network [OSTI]

Datasets Jared Koontz, Matthew Malensek, and Sangmi Lee Pallickara Department of Computer Science, Colorado for scientists are needed. This is critical when scientists are manipulating voluminous datasets and especially when they need to explore datasets interactively to develop their hypotheses. In this paper, we present

Pallickara, Sangmi

257

DataHub: Collaborative Data Science & Dataset Version Management at Scale  

E-Print Network [OSTI]

DataHub: Collaborative Data Science & Dataset Version Management at Scale Anant Bhardwaj1 , Souvik teams collaboratively curate and analyze large datasets. In- spired by software version control systems like git, we propose (a) a dataset version control system, giving users the ability to create, branch

258

1/28/2014 CFCAM Workshop 2014 1 How to generate ^ PAW Atomic Datasets*  

E-Print Network [OSTI]

1/28/2014 CFCAM Workshop 2014 1 Good How to generate ^ PAW Atomic Datasets* N. A. W. Holzwarth 2014 2 Good How to generate ^ PAW Atomic Datasets Challenges Tricks Opportunities for collaboration Importance of having several independent codes (both for atomic dataset generation and for materials

Holzwarth, Natalie

259

A New Global Rayleigh and Love Wave Group Velocity Dataset For Constraining Lithosphere Properties  

E-Print Network [OSTI]

A New Global Rayleigh and Love Wave Group Velocity Dataset For Constraining Lithosphere Properties features and fit our data very well. This dataset will be used to constrain lithospheric structure globally the global datasets used in Ritzwoller et al. (2002) already consist of more than 100,000 paths, the nature

Laske, Gabi

260

iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets  

E-Print Network [OSTI]

iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets Keke Chen Ling of large datasets continues to be one of the most important problems in large- scale data analysis. A commonly used methodology for cluster analysis on large datasets is the three-phase framework of "sampling

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

A Comprehensive Comparison of Ligand-Based Virtual Screening Tools Against the DUD Dataset  

E-Print Network [OSTI]

A Comprehensive Comparison of Ligand-Based Virtual Screening Tools Against the DUD Dataset Reveals) dataset comprising over 100,000 compounds distributed across 40 protein targets. The DUD was developed and the composition of the DUD dataset itself. We propose that in order to To whom correspondence should be addressed

Paris-Sud XI, Université de

262

Statistical Characteristics of Daily Precipitation: Comparisons of Gridded and Point Datasets  

E-Print Network [OSTI]

Statistical Characteristics of Daily Precipitation: Comparisons of Gridded and Point Datasets Gauge Dataset (URD) and those of its nearest (rain gauge) station. To further examine differences between the two datasets, return periods of daily precipitation were calculated over a region encompassing

Roy Chowdhury, Rinku

263

Using metadata to improve spatial dataset quality during updates Christelle Pierkot  

E-Print Network [OSTI]

1 Using metadata to improve spatial dataset quality during updates Christelle Pierkot LIRMM, D and degrade the dataset's quality. Within this broad issue, we limit our scope to the updating of geographic their integration into different datasets. In this context, our objective is to propose solutions to allow coherent

Paris-Sud XI, Université de

264

Integrated: Geospatial Toolkit for Brazil from NREL - Datasets...  

Open Energy Info (EERE)

Brazil from NREL (Abstract): Stand-alone and easy to use geographic toolkit that allows non-GIS users to relate the renewable energy resource (solar and wind) data to other...

265

Comparison of the Legacy and Gold SnIa Dataset Constraints on Dark Energy Models  

E-Print Network [OSTI]

We have performed a comparative analysis of three recent and reliable SnIa datasets available in the literature: the Full Gold (FG) dataset (157 data points $0dataset (140 data points $0dataset (115 data points $0datasets are consistent with each other at the 95% confidence level, the latest (SNLS) dataset shows distinct trends which are not shared by the Gold datasets. We find that the best fit dynamical $w(z)$ obtained from the SNLS dataset does not cross the PDL $w=-1$ and remains above and close to the $w=-1$ line for the whole redshift range $0datasets (FG and TG) clearly crosses the PDL and departs significantly from the PDL $w=-1$ line while the LCDM parameter values are about $2\\sigma$ away from the best fit $w(z)$. In addition, the $(\\Omega_{0m},\\Omega_\\Lambda)$ parameters in a LCDM parametrization without a flat prior, fit by the SNLS dataset, favor the minimal flat LCDM concordance model. The corresponding fit with the Gold datasets mildly favors a closed universe and the flat LCDM parameter values are $1\\sigma - 2\\sigma$ away from the best fit $(\\Omega_{0m},\\Omega_\\Lambda)$.

S. Nesseris; L. Perivolaropoulos

2005-12-02T23:59:59.000Z

266

What is your favorite OpenEI dataset? | OpenEI Community  

Open Energy Info (EERE)

What is your favorite OpenEI dataset? What is your favorite OpenEI dataset? Home > Groups > OpenEI Community Central Dbrodt's picture Submitted by Dbrodt(72) Contributor 31 May, 2012 - 20:14 Utility Rate Database 80% (4 votes) National Solar Radiation Database 0% (0 votes) Incentives and Policies 20% (1 vote) Other 0% (0 votes) Total votes: 5 Please let us know your favorite datasets on OpenEI. If you choose "other" plese inform us of which dataset you like. If you have a dataset you like that is not on OpenEI - please upload it here: http://en.openei.org/datasets/node/add/dataset Groups: OpenEI Community Central Login to post comments Latest polls Dc Are you willing to reply to a text message once a day with information about your comfort level at your indoor location? Posted: 17 Sep 2013 - 12:39 by Dc

267

Automated workflows for accurate mass-based putative metabolite identification in LC/MS-derived metabolomic datasets  

Science Journals Connector (OSTI)

......MS-derived metabolomic datasets Marie Brown 1 David C. Wedge...signals present in complex datasets. Results: Three workflows...LC-MS-derived metabolomic datasets. The collection of workflows...Mass spectrometry (MS) and nuclear magnetic resonance spectroscopy......

Marie Brown; David C. Wedge; Royston Goodacre; Douglas B. Kell; Philip N. Baker; Louise C. Kenny; Mamas A. Mamas; Ludwig Neyses; Warwick B. Dunn

2011-04-15T23:59:59.000Z

268

Genetic variation in the odorant receptors family 13 and the MHC loci influence mate selection in a Multiple Sclerosis dataset  

E-Print Network [OSTI]

S2. Validation on MHC results with the IMAGEN dataset.In the screening IMSGC dataset, the MHC region (663 SNPs)in a multiple sclerosis dataset. BMC Genomics 2010 11:626.

2010-01-01T23:59:59.000Z

269

Prognostic breast cancer signature identified from 3D culture model accurately predicts clinical outcome across independent datasets  

E-Print Network [OSTI]

for individual genes in the dataset of Wang, et al. usingfor individual genes in the dataset of Sorlie, et al. usingfor individual genes in the dataset of Wang, et al. using

Martin, Katherine J.

2008-01-01T23:59:59.000Z

270

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

E-Print Network [OSTI]

OF THE 100 BUILDING DATASET CA Erdmann 1 , KC Steiner 1 ,and Evaluation (BASE) dataset, higher workday time-averaged100-building 1994-1998 BASE dataset. Multivariate logistic

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

2002-01-01T23:59:59.000Z

271

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

272

Non-local gravity and comparison with observational datasets  

E-Print Network [OSTI]

We study the cosmological predictions of two recently proposed non-local modifications of General Relativity. Both models have the same number of parameters as $\\Lambda$CDM, with a mass parameter $m$ replacing the cosmological constant. We implement the cosmological perturbations of the non-local models into a modification of the CLASS Boltzmann code, and we make a full comparison to CMB, BAO and supernova data. We find that the non-local models fit these datasets as well as $\\Lambda$CDM. For both non-local models parameter estimation using Planck+JLA+BAO data gives a value of $H_0$ higher than in $\\Lambda$CDM, and in better agreement with the values obtained from local measurements.

Yves Dirian; Stefano Foffa; Martin Kunz; Michele Maggiore; Valeria Pettorino

2014-11-27T23:59:59.000Z

273

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.

274

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.

275

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.

276

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

277

Resources & Links  

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

Project Western Interconnection Synchrophasor Project Resources & Links Demand Response Energy Efficiency Emerging Technologies Smart grid fact sheet Department of...

278

Electric Power Generation from Low-Temperature Geothermal Resources...  

Open Energy Info (EERE)

2 Geothermal Energy Production from Low Temperature Resources, Coproduced Fluids from Oil and Gas Wells, and Geopressured Resources Project Type Topic 3 Low Temperature...

279

Gradient Resources | Open Energy Information  

Open Energy Info (EERE)

Resources Resources Jump to: navigation, search Logo: Gradient Resources Name Gradient Resources Address 9670 Gateway Drive, Suite 200 Place Reno, Nevada Zip 89521 Sector Geothermal energy Year founded 1991 Company Type For Profit Phone number (775) 284-8842 Website http://www.gradient.com/ Region Rockies Area References Gradient Resources Website[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Gradient Resources is a company based in Reno, Nevada. Gradient Resources is engaged in the exploration and development of geothermal resources as well as the construction, ownership and operation of geothermal power plants. The Company is headquartered in Reno, Nevada with a regional office, drilling operations center, and well-cementing

280

Energy Efficiency Resource Standards Resources  

Broader source: Energy.gov [DOE]

Energy efficiency resource standards mandate a quantified energy efficiency goal for an energy provider or jurisdiction within a predetermined timeframe.

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Transmission/Resource Library | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Transmission/Resource Library < Transmission Jump to: navigation, search ResourceLibraryHeader.png Public Involvement Resources GIS Tools and Maps Environmental Resources and Mitigation NEPA MOUs General Transmission Documents Transmission Dashboard Permitting Atlas Compare States Arizona California Colorado Idaho Montana Nevada New Mexico Oregon Utah Washington Wyoming Resource Library NEPA Database About Transmission Electricity Transmission: A Primer Overview of the grid system and the role of states in overseeing this system. The Design, Construction, and Operation of Long-Distance High-Voltage

282

A knowledge discovery from incomplete coronary artery disease datasets using rough set  

Science Journals Connector (OSTI)

Incompleteness of datasets is one of the important issues in the area of knowledge discovery in medicine. This study proposes a rough set theory (RST)-based knowledge discovery from coronary artery disease (CAD) datasets when there are only small number of objects and contain missing data (incomplete). At first, RST combined with artificial neural network (ANN) is developed to impute the missing data of the datasets. Then, the knowledge that is discovered from imputed datasets is used to evaluate the quality of the imputation. After that, RST is applied to extract rules from the imputed datasets. This will result in a large number of rules. Rule selection based on the quality of extracted rules is investigated. All the evaluation and selection are based on the complete datasets. Finally, the selected small number of rules is evaluated. The discovered selected rules are used as a classifier on the diagnosis of the presence of CAD to demonstrate their good performance.

Noor Akhmad Setiawan; P.A. Venkatachalam; M.H. Ahmad Fadzil

2011-01-01T23:59:59.000Z

283

A Method For Eclipsing Component Identification In Large Photometric Datasets  

E-Print Network [OSTI]

We describe an automated method for assigning the most likely physical parameters to the components of an eclipsing binary (EB), using only its photometric light curve and combined color. In traditional methods (e.g. WD and EBOP) one attempts to optimize a multi-parameter model over many iterations, so as to minimize the chi-squared value. We suggest an alternative method, where one selects pairs of coeval stars from a set of theoretical stellar models, and compares their simulated light curves and combined colors with the observations. This approach greatly reduces the EB parameter-space over which one needs to search, and allows one to determine the components' masses, radii and absolute magnitudes, without spectroscopic data. We have implemented this method in an automated program using published theoretical isochrones and limb-darkening coefficients. Since it is easy to automate, this method lends itself to systematic analyses of datasets consisting of photometric time series of large numbers of stars, such as those produced by OGLE, MACHO, TrES, HAT, and many others surveys.

Jonathan Devor; David Charbonneau

2005-10-04T23:59:59.000Z

284

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.

285

FEMP Resources for Sustainable Buildings | Open Energy Information  

Open Energy Info (EERE)

FEMP Resources for Sustainable Buildings FEMP Resources for Sustainable Buildings Jump to: navigation, search Tool Summary Name: FEMP Resources for Sustainable Buildings Agency/Company /Organization: United States Department of Energy Sector: Energy Focus Area: Buildings Resource Type: Training materials Website: www1.eere.energy.gov/femp/program/sustainable_resources.html References: FEMP Resources for Sustainable Buildings[1] Logo: FEMP Resources for Sustainable Buildings This resource offers many helpful resources about sustainable design and operations to Federal facility managers and other personnel. FEMP also offers training opportunities about sustainable design and practices. Overview "Many helpful resources about sustainable design and operations are available to Federal facility managers and other personnel. These resources

286

NREL-Biomass Resource Assessment | Open Energy Information  

Open Energy Info (EERE)

NREL-Biomass Resource Assessment NREL-Biomass Resource Assessment (Redirected from Biomass Resource Assessment Presentation) Jump to: navigation, search Tool Summary Name: Biomass Resource Assessment Presentation Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Biomass, Transportation Topics: Resource assessment Resource Type: Maps Website: www.nrel.gov/international/biomass_resource.html References: Biomass Resource Assessment at NREL (Int'l)[1] Logo: Biomass Resource Assessment Presentation Overview "Biomass resource assessments quantify the existing or potential biomass material in a given area. Biomass resources include agricultural crops and residues; dedicated energy crops; forestry products and residues; animal wastes; residues and byproducts from food, feed, fiber, wood, and materials

287

3 - Chemometrics methods for the analysis of genomics, transcriptomics, proteomics, metabolomics, and metagenomics datasets  

Science Journals Connector (OSTI)

Abstract This chapter reviews different chemometrics methods for the analysis of genomics, transcriptomics, proteomics, metabolomics, and metagenomics datasets. It discusses a range of statistical data integration techniques.

S.E. Richards; E. Holmes

2015-01-01T23:59:59.000Z

288

Additional Resources  

Broader source: Energy.gov [DOE]

The following resources are focused on Federal new construction and major renovation projects, sustainable construction, and the role of renewable energy technologies in such facilities. These...

289

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

290

Supplemental Figures: Figure S1. Analysis of endo-siRNA targets in different microarray datasets. The  

E-Print Network [OSTI]

Supplemental Figures: Figure S1. Analysis of endo-siRNA targets in different microarray datasets. The percentage of each array dataset that were predicted endo-siRNA targets according to the Ambros dataset (Lee et al. 2006) was plotted [(number of endo-siRNA targets in microarray dataset / total genes

Bass, Brenda L.

291

Adaptation and policy-based resource allocation for efficient bulk data transfers in high performance computing environments  

Science Journals Connector (OSTI)

Many science applications increasingly make use of data-intensive methods that require bulk data movement such as staging of large datasets in preparation for analysis on shared computational resources, remote access to large data sets, and data dissemination. ... Keywords: bulk data transfer, performance-based adaptation, policy-based resource allocation, resource constrained, throughput

Ann L. Chervenak, Alex Sim, Junmin Gu, Robert E. Schuler, Nandan Hirpathak

2014-11-01T23:59:59.000Z

292

Solar Resources By Class Per Country | OpenEI  

Open Energy Info (EERE)

Resources By Class Per Country Resources By Class Per Country Dataset Summary Description These estimates are derived from the best available solar resource datasets available to NREL by country. These vary in spatial resolution from 1 km to 1 degree (approximately 100 km) depending on the data source. High spatial resolution datasets (1 km to 40 km cells) were modeled to support country or regional projects. Where high resolution datasets were not available, data from NASA's Surface Meteorology and Solar Energy (SSE) version 6 database were used. The data represents total potential solar energy per year as a function of land area per solar class (KWh/m²/day). Each solar class correlates to a specific 0.5 kWh/m²/day range. Energy is calculated by multiplying the productive land by the class, conversion efficiency and number of days per year. In this case, a standard calendar year of 365 days was used. The conversion efficiency rate applied was 10%. (E = Productive Land * kWh/m²/day * 365 days * 10% efficiency). The solar data has been derived from solar data measured or modeled between 1961 and 2008, depending on the dataset.

293

Energy Information, Data, and other Resources | OpenEI  

Open Energy Info (EERE)

4 users and bots have contributed 723,749 edits on 178,111 4 users and bots have contributed 723,749 edits on 178,111 pages. See the impact we're having. Follow OpenEI on: FaceBook 32x32.png Twitter 32x32.png Youtube 32x32.png Search Find Energy Resources by region World Outline.png by type datasets, docs, maps updates from the community developer resources Recent Community Activity Not seeing a widget? (More info) Featured on OpenEI TCDB frontpage promo 188px.png Green Button Apps Promo 188px.png FREDpromo.png 188png Popular Content (Visits/Week) Not seeing a widget? (More info) Get Involved SXC.HU Stock Photo 1005737 arm with plant transparent flipped.png Want to get in on the energy conversation? Browse our community section or find more ways you can get involved. We welcome your feedback on OpenEI. More Topics Clean Energy Economy

294

Energy Information, Data, and other Resources | OpenEI  

Open Energy Info (EERE)

9 users and bots have contributed 723,871 edits on 178,119 9 users and bots have contributed 723,871 edits on 178,119 pages. See the impact we're having. Follow OpenEI on: FaceBook 32x32.png Twitter 32x32.png Youtube 32x32.png Search Find Energy Resources by region World Outline.png by type datasets, docs, maps updates from the community developer resources Recent Community Activity Not seeing a widget? (More info) Featured on OpenEI TCDB frontpage promo 188px.png Green Button Apps Promo 188px.png FREDpromo.png 188png Popular Content (Visits/Week) Not seeing a widget? (More info) Get Involved SXC.HU Stock Photo 1005737 arm with plant transparent flipped.png Want to get in on the energy conversation? Browse our community section or find more ways you can get involved. We welcome your feedback on OpenEI. More Topics Clean Energy Economy

295

Mobile Resources  

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

Mobile Resources Mobile Resources Mobile Resources Have a mobile device? Find tips and information here. Questions? 505-667-5809 Email For information call the Service Desk at (505) 667-5809 or email mobilelibrary@lanl.gov The following resources are optimized for mobile devices or have mobile apps available for download. Resource Available App Mobile Website Available off Yellow Network with Pairing or Login Additional Information AACR Journals Apple Yes, the Journals are optimized for mobile viewing. Not the whole AACR site. Instructional pdf on pairing with voucher ACS Apple Android No American Institute of Physics Apple No American Mathematical Society No Yes Instructions for pairing mobile devices, tablets, laptops, etc. American Physical Society No Annual Reviews No Yes Instructions for pairing with mobile device available on website.

296

WINDExchange: Education and School Resources  

Wind Powering America (EERE)

Search the WINDExchange Database Choose a Type of Information All News Publications Web Resource Videos Choose of Records per Page Default (10 per page) 5 25 50 To search...

297

ADAPTIVE TRANSFER ADJUSTMENT IN EFFICIENT BULK DATA TRANSFER MANAGEMENT FOR CLIMATE DATASET  

E-Print Network [OSTI]

ADAPTIVE TRANSFER ADJUSTMENT IN EFFICIENT BULK DATA TRANSFER MANAGEMENT FOR CLIMATE DATASET Alex,mbalman,ashoshani,vnatarajan}@lbl.gov, williams13@llnl.gov ABSTRACT Many scientific applications and experiments, such as high energy and nuclear is the limited network capacity for moving large datasets. A tool that addresses this challenge is the Bulk Data

298

NUCLEAR SEGMENTATION IN MICROSCOPE CELL IMAGES: A HAND-SEGMENTED DATASET AND COMPARISON OF ALGORITHMS  

E-Print Network [OSTI]

NUCLEAR SEGMENTATION IN MICROSCOPE CELL IMAGES: A HAND-SEGMENTED DATASET AND COMPARISON. The hand-labeled dataset (and all software used to com- pare methods) is publicly available to enable, Image seg- mentation 1. INTRODUCTION Nuclear segmentation is an important step in the pipeline of many

Gordon, Geoffrey J.

299

AliView: a fast and lightweight alignment viewer and editor for large datasets  

Science Journals Connector (OSTI)

......online. 1 INTRODUCTION As DNA and protein datasets are getting larger, the demand for a...that allows the user to work with large datasets. The intuitive user interface provides...Transcriptome-mining for single-copy nuclear markers in ferns. PLoS One (2013......

Anders Larsson

2014-11-15T23:59:59.000Z

300

Data Mining for Selective Visualization of Large Spatial Datasets Shashi Shekhar  

E-Print Network [OSTI]

Data Mining for Selective Visualization of Large Spatial Datasets Shashi Shekhar £ , Chang-Tien Lu exploring data for pattern and trend analysis, and it is a common method of browsing spatial datasets the summarization of spatial patterns and temporal trends. We also present data mining algorithms for filtering out

Shekhar, Shashi

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

ELPIS-JP: a dataset of local-scale daily climate change scenarios for Japan  

Science Journals Connector (OSTI)

...the advanced research WRF version 3Boulder, CONational...Semenov1991A serial approach to local stochastic weather modelsEcol...ELPIS-JP: a dataset of local-scale daily climate...developed a dataset of local-scale daily climate...relative humidity; and wind speed) at 938 sites in...

2012-01-01T23:59:59.000Z

302

USLCI eGrid region electricity datasets, 2008 | OpenEI  

Open Energy Info (EERE)

eGrid region electricity datasets, 2008 eGrid region electricity datasets, 2008 Dataset Summary Description Datasets are for the US electricity grid system for eGrid regions (AKGD, AKMS, AZNM, CAMX, ERCT, FRCC, HIMS, HIOA, MROE, MROW, NEWE, NWPP, NYCW, NYLI, NYUP, RFCE, RFCM, RFCW, RMPA, SPNO, SPSO, SRMV, SRMW, SRSO, SRTV, SRVC) for 2008. The data is provided in life cycle inventory forms (xls and xml) . A module report and a detailed spreadsheet are also included.Datasets include generation and transmission of electricity for each of the eGrid regions. It is representative of the year 2008 mix of fuels used for utility generations for each of the eGrid regions and is based on the EIA electricity reports for all power plants in the US. Detailed information on the methodology is included in the module

303

Online Resources  

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

Online Resources Online Resources       General Information Discovering New Physics - Fermilab: where physicists unravel the mysteries of the universe Electromagnetic Simulation: Charged Particle Motion in E/M Field (by Fu-Kwun Hwang, National Taiwan Normal University) Fermilabyrinth - Online versions of exhibits at the Lederman Science Center Fermilab Virtual Tour - Photos of accelerators and detectors with figure captions International Particle Physics Outreach Group (from CERN) Fermilab Homepage - Links to general information, experiments and projects (Fermilab at Work), particle physics (inquiring minds), resources for students (education) and more High-Energy Physics Acronyms - (from Fermilab) Particle Physics - a list of links from the American Physical Society)

304

NREL-Biomass Resource Assessment | Open Energy Information  

Open Energy Info (EERE)

NREL-Biomass Resource Assessment NREL-Biomass Resource Assessment Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Biomass Resource Assessment Presentation Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Biomass, Transportation Topics: Resource assessment Resource Type: Maps Website: www.nrel.gov/international/biomass_resource.html References: Biomass Resource Assessment at NREL (Int'l)[1] Logo: Biomass Resource Assessment Presentation Overview "Biomass resource assessments quantify the existing or potential biomass material in a given area. Biomass resources include agricultural crops and residues; dedicated energy crops; forestry products and residues; animal wastes; residues and byproducts from food, feed, fiber, wood, and materials

305

Template:GeothermalResourceArea | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Template Edit History Facebook icon Twitter icon » Template:GeothermalResourceArea Jump to: navigation, search This is the GeothermalResourceArea template. To define a new Geothermal Resource Area, please use the Geothermal Resource Area form. Contents 1 Parameters 2 Dependencies 3 Usage 4 Example Parameters Map - The map of the resource area. Place - The city or state in which the resource area is located. GeothermalRegion - The geothermal exploration region in which the resource area is located. GEADevelopmentPhase - The phase of plant construction, as defined by GEA (can have more than one phase if more than one project)

306

Center Resources  

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

Resources for Planning Center Activities Resources for Planning Center Activities       QuarkNet at Work - Resources Home QuarkNet is a teacher professional development effort funded by the National Science Foundation and the US Department of Energy. Teachers work on particle physics experiments during a summer and join a cadre of scientists and teachers working to introduce some aspects of their research into their classrooms. This allows tomorrow's particle physicists to peek over the shoulder of today's experimenters. These resources are available for lead teachers and mentors at Quartnet Centers as they design activities for associate teacher workshops and follow-on activities. Important Findings from Previous Years Mentor Tips Associate Teacher Institute Toolkit

307

Tools & Resources: Resource Directory  

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

Resource Directory Resource Directory The guidance documents and reports below have been used by Better Buildings Neighborhood Program partners to build their programs and guide them to early successes. The tools and calculators can be used by homeowners, business owners, and program designers to help determine energy savings and other benefits associated with energy efficiency upgrades. Guidance Documents and Reports Background Program Evaluation Program Updates and Lessons Learned Program Design Marketing and Driving Demand Financing and Incentives Workforce Development Partnering with Utilities Technical Resources Tools and Calculators For Homes For Commercial Buildings Emissions and Equivalency Calculators Guidance Documents and Reports Background Recovery Through Retrofit Report

308

Technology Resources | Department of Energy  

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

Technology Resources Technology Resources Technology Resources October 16, 2013 - 5:17pm Addthis Image of the Whole Building Design Guide logo. The Whole Building Design Guide is a program of the National Institute of Building Sciences The following resource pages are part of the Whole Building Design Guide. These pages are updated on an ongoing basis. To provide detailed information on renewable energy technology options, FEMP partnered with the Whole Building Design Guide to provide technology resource pages. Each of these technology-specific pages provides detailed information on system design and types, best uses, resource assessments, economics, operations and maintenance, and other key considerations. The pages describe the technologies in a context specific to Federal sector

309

Energy Efficiency Resource Standards | Department of Energy  

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

Energy Efficiency Resource Standards Energy Efficiency Resource Standards Energy Efficiency Resource Standards < Back Eligibility Investor-Owned Utility Municipal Utility Rural Electric Cooperative Savings Category Other Program Info State Delaware Program Type Energy Efficiency Resource Standard Provider Delaware Department of Natural Resources and Environmental Control In July 2009 the Delaware legislature enacted legislation creating energy savings targets for Delaware's investor-owned, municipal, and cooperative electric utilities, as well the state's natural gas distribution companies. These targets are hereafter referred to collectively as the Delaware Energy Efficiency Resource Standard or EERS. The law requires affected electric utilities to establish programs which save the equivalent

310

State Energy Data System (SEDS) Complete Dataset through 2009 | OpenEI  

Open Energy Info (EERE)

Energy Data System (SEDS) Complete Dataset through 2009 Energy Data System (SEDS) Complete Dataset through 2009 Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. The multi-dimensional nature of this EIA dataset allows users to make comparisons across States, energy sources, sectors, and over time. Related Links Link to state SEDS SEDS documentation Complete SEDS data tables and files

311

NASA Cold Land Processes Experiment (CLPX 2002/03): Atmospheric Analyses Datasets  

Science Journals Connector (OSTI)

This paper describes the Local Analysis and Prediction System (LAPS) and the 20-km horizontal grid version of the Rapid Update Cycle (RUC20) atmospheric analyses datasets, which are available as part of the Cold Land Processes Field Experiment (...

Glen E. Liston; Daniel L. Birkenheuer; Christopher A. Hiemstra; Donald W. Cline; Kelly Elder

2008-10-01T23:59:59.000Z

312

Spatiotemporal Mapping of Temperature and Precipitation for the Development of a Multidecadal Climatic Dataset for Wisconsin  

Science Journals Connector (OSTI)

Results from the generation of a multidecadal gridded climatic dataset for 57 yr (19502006) of daily and monthly precipitation (PTotal), maximum temperature (Tmax), and minimum temperature (Tmin) are presented for the important agricultural and ...

Shawn P. Serbin; Christopher J. Kucharik

2009-04-01T23:59:59.000Z

313

Hybrid Bayesian-rank integration approach improves the predictive power of genomic dataset aggregation  

Science Journals Connector (OSTI)

......expression changes (GSE6613) from the remaining datasets that use brain tissue An additional advantage of our BIRRA approach is that...status, including additional covariates, such as gender and brain region, whenever those were applicable and available in GEO......

Marcus A. Badgeley; Stuart C. Sealfon; Maria D. Chikina

2014-10-01T23:59:59.000Z

314

Help:Energy Hackathon Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Help page Edit History Facebook icon Twitter icon » Help:Energy Hackathon Resources Jump to: navigation, search Energy Hackathon Resources (Data, APIs, Examples) for Cleanweb Hacks and Energy Mashups Join the OpenEI Energy Developer Community! Community-banner.jpg The OpenEI Developer Community is a great place to have meaningful conversations around energy datasets and APIs. Also available: energy programmer Q&A. With your log-in account, ask questions on energy development issues, find APIs and be a part of discussions that are shaping the future of open energy data and resources. Browse Energy APIs Energy API browser promo.jpg NEW: browse energy APIs available to

315

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

316

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

317

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

318

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

319

Content of Submission The content of the RAE08 submission was comprised of the following nine datasets,  

E-Print Network [OSTI]

datasets, known as forms. Form Content of data set RA0 Overall staff summary to include: - The FTE number

320

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

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Geothermal Energy Production from Low Temperature Resources, Coproduced  

Open Energy Info (EERE)

Energy Production from Low Temperature Resources, Coproduced Energy Production from Low Temperature Resources, Coproduced Fluids from Oil and Gas Wells, and Geopressured Resources Jump to: navigation, search Geothermal ARRA Funded Projects for Geothermal Energy Production from Low Temperature Resources, Coproduced Fluids from Oil and Gas Wells, and Geopressured Resources Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":200,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026

322

SRV: an open-source toolbox to accelerate the recovery of metabolic biomarkers and correlations from metabolic phenotyping datasets  

Science Journals Connector (OSTI)

......signal lost. X matrix is the dataset matrix with spectra in row...simply be removed from the dataset before the use of SRV. One...clusters identified within the dataset (Cloarec et al., 2005...to significance testing in nuclear magnetic resonance based metabonomics......

Vincent Navratil; Clment Pontoizeau; Elise Billoir; Benjamin J. Blaise

2013-05-15T23:59:59.000Z

323

Gathering Datasets for Activity Identification Lorcan Coyle, Juan Ye, Susan McKeever, Stephen Knox, Matthew Stabeler,  

E-Print Network [OSTI]

Gathering Datasets for Activity Identification Lorcan Coyle, Juan Ye, Susan McKeever, Stephen Knox is proceedings well, without publicly available datasets on which to compare results it is difficult to consolidate the disparate work being done. This prob- lem exists because realistic datasets describing human

Hammerton, James

324

Dataset Lifecycle Policy Development & Implementation at the PO.DAAC AGU Paper Number: IN53C-1579  

E-Print Network [OSTI]

Dataset Lifecycle Policy Development & Implementation at the PO.DAAC AGU Paper Number: IN53C-1579 Dataset Lifecycle Policy Development & Implementation at the PO.DAAC National Aeronautics and Space Aeronautics and Space Administration Jet Propulsion Laboratory/California Institute of Technology II. Dataset

Wright, Dawn Jeannine

325

978-1-4799-1270-4/13/$31.00 c 2013 IEEE Let's ChronoSync: Decentralized Dataset State  

E-Print Network [OSTI]

978-1-4799-1270-4/13/$31.00 c 2013 IEEE Let's ChronoSync: Decentralized Dataset State of knowledge about the dataset such as text messages, changes to the shared folder, or document edits. We to efficiently synchronize the state of a dataset among a distributed group of users. Using appropriate naming

California at Los Angeles, University of

326

Page 1 TXCRDC Notes on Datasets Available in CRDCs Texas A&M University Census Research Data Center  

E-Print Network [OSTI]

Page 1 ­ TXCRDC ­ Notes on Datasets Available in CRDCs Texas A&M University Census Research Data Center Datasets Available in Census Research Data Centers Overview This document brings together short. They include: 1. Links to Detailed Information about Available Datasets 2. Quick Summary Listings of Available

Bermúdez, José Luis

327

Using Representative-Based Clustering for Nearest Neighbor Dataset Editing Christoph F. Eick , Nidal Zeidat, and Ricardo Vilalta  

E-Print Network [OSTI]

Using Representative-Based Clustering for Nearest Neighbor Dataset Editing Christoph F. Eick, vilalta}@cs.uh.edu Abstract The goal of dataset editing in instance-based learning is to remove objects-based clustering algorithms for nearest neighbor dataset editing. We term this approach supervised clustering

Vilalta, Ricardo

328

AMM1 and MAMM Mosaics Three versions of the AMM1 and MAMM Ascending dataset are available, a  

E-Print Network [OSTI]

AMM1 and MAMM Mosaics Three versions of the AMM1 and MAMM Ascending dataset are available converted to a ° mosaic and a log-scaled 8-bit version. Dataset Rad. Smoothed Log-scaled 8-bit ° AMM1 Final The following equations were used to compute amplitude for the different datasets following inversion

Howat, Ian M.

329

License Terms This dataset is made freely available to academic and non-academic entities for non-commercial  

E-Print Network [OSTI]

License Terms This dataset is made freely available to academic and non-academic entities for non publication in any published work that makes use of the dataset. 3. That if you have altered the content of the dataset or created derivative work, prominent notice is made so that any recipients know

Hefei Institute of Intelligent Machines

330

BroadPeak: a novel algorithm for identifying broad peaks in dif-fuse ChIP-seq datasets  

E-Print Network [OSTI]

1 BroadPeak: a novel algorithm for identifying broad peaks in dif- fuse ChIP-seq datasets JianrongIP-seq datasets. We show that BroadPeak is a linear time algorithm that requires only two parame- ters, and we validate its performance on real and simulated histone modification ChIP-seq datasets. BroadPeak calls

Jordan, King

331

A Public Toolkit and ITS Dataset for EEG Yueran Yuan, Kai-min Chang, Yanbo Xu, Jack Mostow  

E-Print Network [OSTI]

A Public Toolkit and ITS Dataset for EEG Yueran Yuan, Kai-min Chang, Yanbo Xu, Jack Mostow Language a classifier to estimate a student's amount of prior exposure to a given word. We make this dataset and toolkit setting. In this paper, we present a dataset from 3 years of school usage of Project LISTEN's Reading

332

Evaluation of Model based Tracking with TrakMark Dataset Antoine Petit Guillaume Caron Hideaki Uchiyama Eric Marchand  

E-Print Network [OSTI]

Evaluation of Model based Tracking with TrakMark Dataset Antoine Petit Guillaume Caron Hideaki in the INRIA La- gadic team with a TrakMark dataset. Since these methods are based on a 3D model based approach, we selected a dataset named "Con- ference Venue Package 01" that includes a 3D textured model

Paris-Sud XI, Université de

333

CLIMATE MODELING BEST ESTIMATE DATASET (CMBE) -NEW ADDITIONS Renata McCoy, Shaocheng Xie, Stephen Klein, Lawrence Livermore National Laboratory  

E-Print Network [OSTI]

CLIMATE MODELING BEST ESTIMATE DATASET (CMBE) - NEW ADDITIONS Renata McCoy, Shaocheng Xie, Stephen ARM product, the Climate Modeling Best Estimate (CMBE) dataset, is being augmented with the additional observational and model data. The CMBE dataset was created to serve the needs of climate model developers

334

Transmission/Resource Library/MOU | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Transmission/Resource Library/MOU < Transmission‎ | Resource Library Jump to: navigation, search ResourceLibraryHeader.png Public Involvement Resources GIS Tools and Maps Environmental Resources and Mitigation NEPA MOUs General Transmission Documents Transmission Dashboard Permitting Atlas Compare States Arizona California Colorado Idaho Montana Nevada New Mexico Oregon Utah Washington Wyoming Resource Library NEPA Database Memorandums of Understanding (MOUs)for Interstate Transmission Projects Multi-state transmission siting and permitting projects benefit from effective collaboration between government entities, tribes, project

335

Teacher Resource Center: Fermilab Web Resources  

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

Fermilab Web Resources Fermilab Web Resources TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The following materials are on the webserver. Fermilab Resources for Students - You might bookmark some of these resources to give your students easy access to information. Fermilab Resources for Students - You might bookmark some of these resources to give your students easy access to information. Photographs and video clips from Fermilab's Visual Media Services

336

Image Resources  

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

Mosaic of earth and sky images Mosaic of earth and sky images Image Resources Free image resources covering energy, environment, and general science. Here are some links to energy- and environment-related photographic databases. Berkeley Lab Photo Archive Berkeley Lab's online digital image collection. National Science Digital Library (NSDL) NSDL is the Nation's online library for education and research in science, technology, engineering, and mathematics. The World Bank Group Photo Library A distinctive collection of over 11,000 images that illustrate development through topics such as Agriculture, Education, Environment, Health, Trade and more. Calisphere Compiles the digital collections of libraries, museums, and cultural heritage organizations across California, and organizes them by theme, such

337

Teacher Resources  

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

Resources Resources Teacher Programs JLab Science Activities for Teachers - An afternoon science program for 5th, 6th and 8th grade teachers. [Program Dates: September 2013 - May 2014] Teacher Night at Jefferson Lab - Teacher Night will be held on April 2nd, 2014. Please sign-up by March 19th, 2014! Education Events Physics Fest - Cryogenics, electricity and more! Reserve your space today! Science Series - Science lectures for high school and middle school students! [Video Archive] Education Events Mailing List - An electronic mailing list to keep you informed of Jefferson Lab's public education events! Workshops and Local Groups The Virginia Section of the American Nuclear Society - Single and multi-day workshops on the science of nuclear energy and radiation.

338

Texas Transportation Poll (TTP) Data Documentation The dataset and code book has been provided, so that researchers interested in conducting their own  

E-Print Network [OSTI]

Texas Transportation Poll (TTP) Data Documentation The dataset and code book) contains basic information about all the variables in the dataset. The second part been cleaned. The expanded weight has also been included in the dataset

339

Playing games against nature: optimal policies for renewable resource allocation  

E-Print Network [OSTI]

Playing games against nature: optimal policies for renewable resource allocation Stefano Ermon- cision processes that arise as a natural model for many renewable resource allocation problems. Upon for the allocation of renewable resources. A key and unique aspect of such a resource type is the fact that

Keinan, Alon

340

PNM Resources | Open Energy Information  

Open Energy Info (EERE)

PNM Resources PNM Resources Jump to: navigation, search Name PNM Resources Place Albuquerque, New Mexico Coordinates 35.079530580491°, -106.66025161743° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.079530580491,"lon":-106.66025161743,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Amp Resources | Open Energy Information  

Open Energy Info (EERE)

Amp Resources Amp Resources Jump to: navigation, search Name Amp Resources Place Draper, Utah Zip 84020 Sector Geothermal energy Product Geothermal project developer. Coordinates 37.005709°, -80.748916° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.005709,"lon":-80.748916,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

342

Greenwood Resources | Open Energy Information  

Open Energy Info (EERE)

Resources Resources Jump to: navigation, search Name Greenwood Resources Address 1500 SW First Avenue Place Portland, Oregon Zip 97201 Sector Biofuels Product Aims to grow poplar trees for cellulosic ethanol Website http://www.greenwoodresources. Coordinates 45.5123956°, -122.6763911° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.5123956,"lon":-122.6763911,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

343

Resource descriptions, ontology, and resource discovery  

Science Journals Connector (OSTI)

Resource discovery systems may assist scientists in the selection of bioinformatics resources suitable to implement scientific workflows. In this paper we address several problems related to resource discovery. They include resource publication formats, resource registration, and syntactic vs. semantic discovery. We analyse the BioMoby registry and present an algorithm that curates the BioMoby hierarchy into an ontology for use in semantic-driven resource discovery.

Zoe Lacroix; Maliha Aziz

2010-01-01T23:59:59.000Z

344

NREL GIS Data: Indiana High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

Indiana High Resolution Wind Resource Indiana High Resolution Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential for the state of Indiana at a 50 meter height. Purpose: Provide information on the wind resource development potential within the state of Indiana. Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 16 datum WGS 84 projection system. Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

345

NREL GIS Data: Hawaii High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

Wind Resource Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential for the state of Hawaii at a 50 meter height. Purpose: Provide information on the wind resource development potential within the state of Hawaii. Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 4, datum WGS 84 projection system. Other_Citation_Details: The wind power resource estimates were produced by TrueWind Solutions using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

346

Calwind Resources Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Resources Wind Farm Resources Wind Farm Jump to: navigation, search Name Calwind Resources Wind Farm Facility Calwind Resources Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer CalWind Resources Energy Purchaser Southern California Edison Co Location Tehachapi CA Coordinates 35.07665°, -118.25529° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.07665,"lon":-118.25529,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

347

Federal Energy Management Program (FEMP) Training Resources | Open Energy  

Open Energy Info (EERE)

Federal Energy Management Program (FEMP) Training Resources Federal Energy Management Program (FEMP) Training Resources Jump to: navigation, search Tool Summary Name: Federal Energy Management Program (FEMP) Training Resources Agency/Company /Organization: United States Department of Energy Sector: Energy Resource Type: Training materials Website: apps1.eere.energy.gov/femp/training/ References: Federal Energy Management Program (FEMP) Training Resources[1] Logo: Federal Energy Management Program (FEMP) Training Resources Overview "FEMP trains Federal agency managers on the latest energy requirements, best practices, and technologies. " References ↑ "Federal Energy Management Program (FEMP) Training Resources" Retrieved from "http://en.openei.org/w/index.php?title=Federal_Energy_Management_Program_(FEMP)_Training_Resources&oldid=375079"

348

Geothermal Resources (Nebraska) | Department of Energy  

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

Geothermal Resources (Nebraska) Geothermal Resources (Nebraska) Geothermal Resources (Nebraska) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Buying & Making Electricity Program Info State Nebraska Program Type Siting and Permitting Provider Conservation and Survey Division School of Natural Resources This section establishes the support of the state for the efficient development of Nebraska's geothermal resources, as well as permitting

349

Water Resources (Montana) | Department of Energy  

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

Resources (Montana) Resources (Montana) Water Resources (Montana) < Back Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Residential Installer/Contractor Rural Electric Cooperative Tribal Government Low-Income Residential Schools Retail Supplier Institutional Multi-Family Residential Systems Integrator Fuel Distributor Nonprofit General Public/Consumer Transportation Savings Category Water Buying & Making Electricity Home Weatherization Program Info State Montana Program Type Environmental Regulations Provider Montana Department of Natural Resources and Conservation The state policy of Montana requires that water resources of the state be put to optimum beneficial use and not wasted. The state must promote the

350

Resources to reserves  

Science Journals Connector (OSTI)

The resource bases and resources of the various energy forms of natural resources have been discussed. It is now opportune to consider the transformation of resources to reserves. This is effected by explorati...

D. C. Ion

1980-01-01T23:59:59.000Z

351

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)

20-Year Dataset of Downwelling Longwave Flux 20-Year Dataset of Downwelling Longwave Flux at the Arctic Surface from TOVS Satellite Data J. Francis Rutgers University New Brunswick, New Jersey A. Schweiger Polar Science Center University of Washington Seattle, Washington J. Key National Oceanic and Atmospheric Administration National Environmental Satellite, Data, and Information Service Madison, Wisconsin Introduction This paper summarizes the progress of a study under way to generate a 20-year dataset of surface downwelling longwave flux (DLF) retrievals from satellite data over the Arctic Ocean. We will produce daily fields between late 1979 and late 1998 on a grid with a spatial resolution of 100 km x 100 km 2 north of 60°N. Surface measurements from the Surface Heat Budget of the Arctic (SHEBA) and the

352

Thermodynamics of resource recycling  

Science Journals Connector (OSTI)

Thermodynamics of resource recycling ... The author applies principles of thermodynamics to analyze the efficiency of resource recycling. ...

W. B. Hauserman

1988-01-01T23:59:59.000Z

353

Tension and Systematics in the Gold06 SnIa Dataset  

E-Print Network [OSTI]

The Gold06 SnIa dataset recently released in astro-ph/0611572 consists of five distinct subsets defined by the group or instrument that discovered and analyzed the corresponding data. These subsets are: the SNLS subset (47 SnIa), the HST subset (30 SnIa), the HZSST subset (41 SnIa), the SCP subset (26 SnIa) and the Low Redshift (LR) subset (38 SnIa). These subsets sum up to the 182 SnIa of the Gold06 dataset. We use Monte-Carlo simulations to study the statistical consistency of each one of the above subsets with the full Gold06 dataset. In particular, we compare the best fit $w(z)$ parameters (w_0,w_1) obtained by subtracting each one of the above subsets from the Gold06 dataset (subset truncation), with the corresponding best fit parameters (w^r_0,w^r_1) obtained by subtracting the same number of randomly selected SnIa from the same redshift range of the Gold06 dataset (random truncation). We find that the probability for (w^r_0,w^r_1)=(w_0,w_1) is large for the Gold06 minus SCP (Gold06-SCP) truncation but is less than 5% for the Gold06-SNLS, Gold06-HZSST and Gold06-HST truncations. This result implies that the Gold06 dataset is not statistically homogeneous. By comparing the values of the best fit (w_0,w_1) for each subset truncation we find that the tension among subsets is such that the SNLS and HST subsets are statistically consistent with each other and `pull' towards LCDM (w_0=-1,w_1=0) while the HZSST subset is statistically distinct and strongly `pulls' towards a varying w(z) crossing the line $w=-1$ from below (w_00). We also isolate six SnIa that are mostly responsible for this behavior of the HZSST subset.

S. Nesseris; L. Perivolaropoulos

2007-01-09T23:59:59.000Z

354

Florida/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Florida/Wind Resources/Full Version < Florida‎ | Wind Resources Jump to: navigation, search Print PDF Florida Wind Resources FloridaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

355

Oregon/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Oregon/Wind Resources/Full Version < Oregon‎ | Wind Resources Jump to: navigation, search Print PDF Oregon Wind Resources OregonMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

356

Maine/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Maine/Wind Resources/Full Version < Maine‎ | Wind Resources Jump to: navigation, search Print PDF Maine Wind Resources MaineMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

357

Nevada/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Nevada/Wind Resources/Full Version < Nevada‎ | Wind Resources Jump to: navigation, search Print PDF Nevada Wind Resources NevadaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

358

SWERA/Wind Resource Information | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » SWERA/Wind Resource Information < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Wind Resource Information SWERA wind products provide estimates of how much wind resource is available at potential development sites. SWERA wind resources are depicted as average wind speed (meters per second) or wind power density (watts per square meter) at a specified height above the ground (nominally 50 m). These are derived from models and satellite and global weather observations

359

Arkansas/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Arkansas/Wind Resources/Full Version < Arkansas‎ | Wind Resources Jump to: navigation, search Print PDF Arkansas Wind Resources ArkansasMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

360

Alabama/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Alabama/Wind Resources/Full Version < Alabama‎ | Wind Resources Jump to: navigation, search Print PDF Alabama Wind Resources AlabamaMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Delaware/Wind Resources/Full Version | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Delaware/Wind Resources/Full Version < Delaware‎ | Wind Resources Jump to: navigation, search Print PDF Delaware Wind Resources DelawareMap.jpg More information about these 30-m height wind resource maps is available on the Wind Powering America website. Introduction Can I use wind energy to power my home? This question is being asked across the country as more people look for a hedge against increasing electricity rates and a way to harvest their local wind resources. Small wind electric systems can make a significant contribution to our nation's energy needs. Although wind turbines large enough to provide a significant portion of the

362

WATER RESOURCES NEBRASKA WATER RESOURCES RESEARCH INSTITUTE  

E-Print Network [OSTI]

and energy are inextricably bound. Energy is consumed and sometimes produced by every form of water resourcesWATER RESOURCES NEBRASKA WATER RESOURCES RESEARCH INSTITUTE 212 AGRICULTURAL ENGINEERING BUILDING of the National Environmental Policy Act of 1969, water resources professionals squarely faced the fact that water

Nebraska-Lincoln, University of

363

OpenEI:Projects/Public Resources | Open Energy Information  

Open Energy Info (EERE)

This page is used to coordinate the plans to collect energy data, tools, This page is used to coordinate the plans to collect energy data, tools, models, and other digital assets (that have appropriate licensing terms) within OpenEI. Contents 1 Goals, Tips, and Strategies 2 Inventory of Specific Resources 3 Inventory of General Sources 4 Inventory of Potential Sources 5 Others (Quick Links) 6 Data from the 2008 Carbon Sequestration Atlas of the United States and Canada (by NETL) 7 NREL GIS Data 8 SWERA GIS and TMY Data (often NREL or others are original source) 9 See Also 10 Participants Goals, Tips, and Strategies We met our goal for December 2010 -- 100 datasets -- and we surpassed it!. Let's continue to add datasets available in the lists below, including the "General Resources" list. We still want to identify and keep track of NREL

364

arXiv:astro-ph/0106481v126Jun2001 MASSIVE DATASETS IN ASTRONOMY  

E-Print Network [OSTI]

arXiv:astro-ph/0106481v126Jun2001 Chapter 1 MASSIVE DATASETS IN ASTRONOMY Robert J. Brunner, S 21218 USA szalay@pha.jhu.edu Abstract Astronomy has a long history of acquiring, systematizing archives and services representing a new in- formation infrastructure for astronomy of the 21st century

Prince, Thomas A.

365

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

E-Print Network [OSTI]

of the software infrastructure required. Results Bionimbus is used by a variety of projects to process genomicsBionimbus: 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

Grossman, Robert

366

Icon-based Visualization of Large High-Dimensional Datasets Heloise Lynn, Yves Simon  

E-Print Network [OSTI]

Icon-based Visualization of Large High-Dimensional Datasets Ping Chen Chenyi Hu Wei Ding Heloise data. We divide dimensions of data into several groups. Then, we use one icon to repre- sent each group, and associate visual properties of each icon with dimensions in each group. A high dimen- sional data record

Ding, Wei

367

World Resources Institute (WRI) | Open Energy Information  

Open Energy Info (EERE)

Resources Institute (WRI) Resources Institute (WRI) (Redirected from World Resources Institute) Jump to: navigation, search Logo: World Resources Institute Name World Resources Institute Address 10 G Street, NE (Suite 800) Place Washington, District of Columbia Zip 20002 Year founded 1982 Phone number (202) 729-7600 Coordinates 38.8989821°, -77.0081139° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.8989821,"lon":-77.0081139,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

368

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

369

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

370

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

371

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

372

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

373

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

374

Oklahoma/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Oklahoma/Wind Resources < Oklahoma Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Oklahoma Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

375

Michigan/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Michigan/Wind Resources < Michigan Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Michigan Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

376

Indiana/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Indiana/Wind Resources < Indiana Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Indiana Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

377

Maine/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Maine/Wind Resources < Maine Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Maine Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

378

Mississippi/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Mississippi/Wind Resources < Mississippi Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Mississippi Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

379

Tennessee/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Tennessee/Wind Resources < Tennessee Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Tennessee Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

380

Virginia/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Virginia/Wind Resources < Virginia Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Virginia Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Texas/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Texas/Wind Resources < Texas Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Texas Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

382

Illinois/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Illinois/Wind Resources < Illinois Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Illinois Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

383

Arizona/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Arizona/Wind Resources < Arizona Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Arizona Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

384

California/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » California/Wind Resources < California Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> California Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

385

Connecticut/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Connecticut/Wind Resources < Connecticut Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Connecticut Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

386

Georgia/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Georgia/Wind Resources < Georgia Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Georgia Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

387

Delaware/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Delaware/Wind Resources < Delaware Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Delaware Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

388

Colorado/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Colorado/Wind Resources < Colorado Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Colorado Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

389

Arkansas/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Arkansas/Wind Resources < Arkansas Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Arkansas Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support?

390

Utah/Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Utah/Wind Resources < Utah Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook Home OpenEI Home >> Wind >> Small Wind Guidebook >> Utah Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical for Me? * What Size Wind Turbine Do I Need? * What Are the Basic Parts of a Small Wind Electric System? * What Do Wind Systems Cost? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate?

391

Global Forest Resource Assessment | Open Energy Information  

Open Energy Info (EERE)

Global Forest Resource Assessment Global Forest Resource Assessment Jump to: navigation, search Tool Summary Name: Global Forest Resource Assessment Agency/Company /Organization: Food and Agriculture Organization of the United Nations Sector: Land Focus Area: Forestry Topics: Resource assessment Resource Type: Publications Website: www.fao.org/forestry/fra/fra2010/en/ Global Forest Resource Assessment Screenshot References: Global Forest Research Assessment[1] Overview "FAO, in cooperation with its member countries, has monitored the world's forests at 5 to 10 year intervals since 1946. These global assessments provide valuable information to policy-makers in countries, to international negotiations, arrangements and organizations related to forests and to the general public. The Global Forest Resources Assessment

392

Corrections for Water Resources Engineering  

E-Print Network [OSTI]

Corrections for Water Resources Engineering (First printing) By Larry W. Mays Corrections as of 4.8.2 should read, "Water flows in a rectangular channel ..." Chapter 3 Page 46 Delete second equal sign 5.3.1, steep S1 the type of flow is "subcritical" not "supercritical" Page 110 Figure 5

Mays, Larry W.

393

Resource Letter N-1: Nanotechnology  

Science Journals Connector (OSTI)

This Resource Letter provides a guide to the literature on Nanotechnology. Journal articles books websites and other documents are cited on the following topics: attributes of various types of nanomaterials nanotechnology in the context of different academic fields and the effects of nanotechnology on society.

Devin Cela; Mildred Dresselhaus; Tingying Helen Zeng; Odair P. Ferreira

2014-01-01T23:59:59.000Z

394

What is ICA&D? The International Climate Assessment & Dataset (ICA&D) climate services concept combines the work of WMO's Expert  

E-Print Network [OSTI]

What is ICA&D? The International Climate Assessment & Dataset (ICA&D) climate services concept on the software developed for the European Climate Assessment & Dataset (ECA&D) and is already applied in four & Dataset (SACA&D) for WMO Region V and the Latin American Climate Assessment & Dataset (LACA&D) for WMO

Haak, Hein

395

A Category-Level 3-D Object Dataset: Putting the Kinect to Work Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell  

E-Print Network [OSTI]

A Category-Level 3-D Object Dataset: Putting the Kinect to Work Allison Janoch, Sergey Karayev for a chal- lenging category-level 3D object detection dataset to the fore. We review current 3D datasets our dataset of color and depth image pairs, gathered in real domestic and office environ- ments

O'Brien, James F.

396

Datasets - OpenEI Datasets  

Open Energy Info (EERE)

energy technologies in Nepal (Purpose): SWERA Documentation PDF NREL GIS Data: Global Offshore Wind GIS data for offshore wind speed (meterssecond). Specified to Exclusive...

397

NREL GIS Data: Illinois High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

Illinois High Resolution Wind Resource Illinois High Resolution Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential of Illinois at a 50 meter height. Purpose: Provide information on the wind resource development potential within Illinois. Supplemental_Information: This data set was produced and validated by NREL using their WRAM model. This shapefile was generated from a raster dataset with a 1000 m resolution, in a Transverse Mercator projection with the following parameters: Projection: TRANSVERSE Zunits NO Units METERS Spheroid CLARKE1866 Xshift 0.0000000000 Yshift 0.0000000000 Parameters 1.00000000 /* scale factor at central meridian -89 30 0.000 /* longitude of central meridian 39 45 0.000 /* latitude of origin 0.00000 /* false easting (meters) 0.00000 /* false northing (meters)

398

NREL GIS Data: New York High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

New York High Resolution Wind Resource New York High Resolution Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential for New York at a 50 meter height. Purpose: Provide information on the wind resource development potential in New York. Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 18, datum WGS 84 projection system. Other_Citation_Details: This map has been validated with available surface data by NREL and wind energy meteorological consultants. Source National Renewable Energy Laboratory (NREL) Date Released November 30th, 2003 (10 years ago)

399

Wild Resource Conservation Program (Pennsylvania) | Department of Energy  

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

Wild Resource Conservation Program (Pennsylvania) Wild Resource Conservation Program (Pennsylvania) Wild Resource Conservation Program (Pennsylvania) < Back Eligibility Agricultural Commercial Construction Fuel Distributor Industrial Installer/Contractor Investor-Owned Utility Local Government Municipal/Public Utility Rural Electric Cooperative State/Provincial Govt Transportation Utility Savings Category Buying & Making Electricity Water Home Weatherization Solar Wind Program Info Start Date 1982 State Pennsylvania Program Type Environmental Regulations Siting and Permitting Provider Pennsylvania Department of Conservation and Natural Resources Established by The Wild Resource Conservation Act of 1982, the Wild Resource Conservation Program is a part of the Department of Conservation and Natural Resources. The program works closely with the Pennsylvania Game

400

Building Technologies Office: Resources  

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

Resources to someone by Resources to someone by E-mail Share Building Technologies Office: Resources on Facebook Tweet about Building Technologies Office: Resources on Twitter Bookmark Building Technologies Office: Resources on Google Bookmark Building Technologies Office: Resources on Delicious Rank Building Technologies Office: Resources on Digg Find More places to share Building Technologies Office: Resources on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Partner Log In Become a Partner Criteria Partner Locator Resources Housing Innovation Awards Events Guidelines for Home Energy Professionals Technology Research, Standards, & Codes

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

WINDExchange: Agricultural and Rural Resources and Tools  

Wind Powering America (EERE)

Search the WINDExchange Database Choose a Type of Information All News Publications Web Resource Videos Choose of Records per Page Default (10 per page) 5 25 50 To search...

402

NREL: Renewable Resource Data Center - Biomass Resource Data  

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

Data The following biomass resource data collections can be found in the Renewable Resource Data Center (RReDC). Current Biomass Resource Supply An estimate of biomass resources...

403

Assessment and Mapping of the Riverine Hydrokinetic Resource in the  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Assessment and Mapping of the Riverine Hydrokinetic Resource in the Continental United States Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Assessment and Mapping of the Riverine Hydrokinetic Resource in the Continental United States Abstract This report describes the methodology and results of the most rigorous assessment to date of the riverine hydrokinetic energy resource in the contiguous 48 states and Alaska, excluding tidal waters. The assessment provides estimates of the gross, naturally available resource, termed the

404

Geothermal Resource Conceptual Models Using Surface Exploration Data | Open  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Geothermal Resource Conceptual Models Using Surface Exploration Data Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Geothermal Resource Conceptual Models Using Surface Exploration Data Abstract The most important element of an analysis to target a geothermal well or assess resource capacity is a resource conceptual model consistent with the available information. A common alternative approach to both targeting and assessment is to focus on a data anomaly or, in some cases, several stacked anomalies. However, even stacked anomalies are commonly misleading without

405

Category:Geothermal Resource Areas | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:Geothermal Resource Areas Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Geothermal Areas page? For detailed information on Geothermal Areas, click here. Category:Geothermal Resource Areas Add.png Add a new Geothermal Resource Area Please be sure the area does not already exist in the list below before adding - perhaps under a different name. Pages in category "Geothermal Resource Areas" The following 200 pages are in this category, out of 323 total. (previous 200) (next 200) A Abraham Hot Springs Geothermal Area

406

The effect of missing data on wind resource estimation  

Science Journals Connector (OSTI)

Investment in renewable energy sources requires reliable data. However, meteorological datasets are often plagued by missing data, which can bias energy resource estimates if the missingness is systematic. We address this issue by considering the influence of missing data due to icing of equipment during the winter on the wind resource estimation for a potential wind turbine site in Norway. Using a mean-reverting jump-diffusion (MRJD) process to model electricity prices, we also account for the impact on the expected revenue from a wind turbine constructed at the site. While missing data due to icing significantly bias the wind resource estimate downwards, their impact on revenue estimates is dampened because of volatile electricity spot prices. By contrast, with low-volatility electricity prices, the effect of missing data on revenue estimates is highly significant. The seasonality-based method we develop removes most of the bias in wind resource and revenue estimation caused by missing data.

Aidan Coville; Afzal Siddiqui; Klaus-Ole Vogstad

2011-01-01T23:59:59.000Z

407

Sage Resources | Open Energy Information  

Open Energy Info (EERE)

Sage Resources Sage Resources Place Missoula, Montana Zip 59803 Sector Geothermal energy, Solar Product A company specializing in geothermal and solar-thermal project development in the western United States; works with private firms, government, and the DOE. Coordinates 46.87278°, -113.996234° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.87278,"lon":-113.996234,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

408

Competitive Resources | Open Energy Information  

Open Energy Info (EERE)

Resources Resources Address 60 Church St Place Yalesville, Connecticut Zip 06492 Sector Efficiency Product Demand side management programs Website http://www.competitiveresource Coordinates 41.489499°, -72.811062° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.489499,"lon":-72.811062,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

409

How do insect nuclear and mitochondrial gene substitution patterns differ? Insights from Bayesian analyses of combined datasets  

E-Print Network [OSTI]

3 June 2003 Abstract We analyzed 12 combined mitochondrial and nuclear gene datasets in seven orders systematists should increasingly focus on nuclear rather than mitochondrial gene datasets because nuclear genesHow do insect nuclear and mitochondrial gene substitution patterns differ? Insights from Bayesian

Danforth, Bryan Nicholas

410

Uncovering the Molecular Secrets of Inflammatory Breast Cancer Biology: An Integrated Analysis of Three Distinct Affymetrix Gene Expression Datasets  

Science Journals Connector (OSTI)

...differentially expressed genes in the datasets generated from the different...multiple gene expression profiling datasets, the common gene signatures...10606 PCNA Proliferating cell nuclear antigen 20pter-p12 5111 PMAIP1...value of proliferating cell nuclear antigen (PCNA) and p53 protein...

Steven J. Van Laere; Naoto T. Ueno; Pascal Finetti; Peter Vermeulen; Anthony Lucci; Fredika M. Robertson; Melike Marsan; Takayuki Iwamoto; Savitri Krishnamurthy; Hiroko Masuda; Peter van Dam; Wendy A. Woodward; Patrice Viens; Massimo Cristofanilli; Daniel Birnbaum; Luc Dirix; James M. Reuben; and Franois Bertucci

2013-09-01T23:59:59.000Z

411

Clean Cities: Information Resources  

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

Information Resources Information Resources Printable Version Share this resource Send a link to Clean Cities: Information Resources to someone by E-mail Share Clean Cities: Information Resources on Facebook Tweet about Clean Cities: Information Resources on Twitter Bookmark Clean Cities: Information Resources on Google Bookmark Clean Cities: Information Resources on Delicious Rank Clean Cities: Information Resources on Digg Find More places to share Clean Cities: Information Resources on AddThis.com... Publications Technical Assistance Information Resources Learn about Clean Cities by exploring these information resources. Publications View Clean Cities-branded publications or search for publications about alternative fuels and vehicles. Technical Assistance Learn about technical assistance available to help organizations overcome

412

Energy Efficiency Resource Standard | Department of Energy  

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

Efficiency Resource Standard Efficiency Resource Standard Energy Efficiency Resource Standard < Back Eligibility Investor-Owned Utility Utility Savings Category Other Bioenergy Buying & Making Electricity Solar Heating & Cooling Water Heating Wind Program Info State Wisconsin Program Type Energy Efficiency Resource Standard Provider Public Service Commission of Wisconsin In March 2006, Wisconsin enacted Act 141 (2005), which requires the commission to revise goals, priorities, and measurable targets for energy efficiency programs every 4 years. An order issued by the Public Service Commission (PSC) in November 2010 set annual percentage targets for electricity and natural gas reductions for the first 4-year planning period (2011-2014). Funding is provided by ratepayers to the utilities' statewide

413

Energy Efficiency Resource Standard | Department of Energy  

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

Efficiency Resource Standard Efficiency Resource Standard Energy Efficiency Resource Standard < Back Eligibility Investor-Owned Utility Utility Program Info State Rhode Island Program Type Energy Efficiency Resource Standard Provider Rhode Island Public Utilities Commission Rhode Island enacted legislation in 2006 requiring the state Public Utilities Commission (PUC) to establish standards for system reliability, energy efficiency and conservation procurement, including standards for energy supply diversification, distributed generation, demand response, and "prudent and reliable" energy efficiency and energy conservation measures. These standards and guidelines, which were adopted by the PUC in 2008, must be reviewed at least once every three years. Each electric and natural gas

414

Information Resources - EERE Commercialization Office  

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

Information Resources Site Map Printable Version Share this resource National Laboratories Information Resources Here you will find various informational resources related to the...

415

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

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

OpenMSI: A Science OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets August 27, 2013 | Tags: Basic Energy Sciences (BES), Carver, Computer Science, Dirac, Hopper, Life Sciences, Science Gateways, Visualization Group Contact: Linda Vu, +1 510 495 2402, lvu@lbl.gov OpenMSINERSC.jpg This overlay of mass spectrometry images shows the spatial distribution of three different kind of lipids across a whole mouse cross-section. Lipids act as the structural components of cell membranes and are responsible for energy storage, among other things. Image credit: Wolfgang Reindl (Berkeley Lab). Using cutting-edge mass spectrometry imaging (MSI) technology, scientists can study tissues, cell cultures and bacterial colonies in unprecedented

416

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

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

22-Year Dataset of Surface Longwave Fluxes 22-Year Dataset of Surface Longwave Fluxes in the Arctic J. Francis and J. Secora Institute of Marine and Coastal Sciences Rutgers University New Brunswick, New Jersey Abstract Downwelling longwave fluxes (DLFs) over the Arctic surface have been generated from 22.5 years of radiances and retrievals from the TIROS (television and infrared observation satellite) operational vertical sounder (TOVS). The flux retrieval algorithm has been validated and improved using surface- based radiation and cloud observations from the Atmospheric Radiation Measurement (ARM) North Slope of Alaska (NSA) site in Barrow, Alaska, and from the Surface Heat Balance of the Arctic (SHEBA) field program (1997-98) in the Beaufort Sea. The DLF product is presented on a 100 x

417

Construction of a global disaggregated dataset of building energy use and floor area in 2010  

Science Journals Connector (OSTI)

Abstract This paper presents the construction of a dataset of energy use in 2010 by buildings in 10 regions spanning the entire world, broken down by sector (residential and commercial), end use (space heating, space cooling, ventilation, water heating, lighting, cooking, and miscellaneous (mostly plug) loads) and energy source (fossil fuels, district heat, biofuels, solar and geothermal heat, and electricity). Combined with estimates of the residential and commercial floor area and of population in each region, this 4-dimensional disaggregation gives an estimate of building energy intensities (kWh/m2/yr) or per capita energy use for each end use/energy source combination in each sector and region. This dataset provides a starting point that can be used in scenarios of future building energy demand but also serves to highlight discrepancies, uncertainties, and areas where improved data collection is needed.

L.D. Danny Harvey; Katarina Korytarova; Oswaldo Lucon; Volha Roshchanka

2014-01-01T23:59:59.000Z

418

Does the Danube exist? Versions of reality given by various regional climate models and climatological datasets  

E-Print Network [OSTI]

We present an intercomparison and verification analysis of several regional climate models (RCMs) nested into the same run of the same Atmospheric Global Circulation Model (AGCM) regarding their representation of the statistical properties of the hydrological balance of the Danube river basin for 1961-1990. We also consider the datasets produced by the driving AGCM, from the ECMWF and NCEP-NCAR reanalyses. The hydrological balance is computed by integrating the precipitation and evaporation fields over the area of interest. Large discrepancies exist among RCMs for the monthly climatology as well as for the mean and variability of the annual balances, and only few datasets are consistent with the observed discharge values of the Danube at its Delta, even if the driving AGCM provides itself an excellent estimate. Since the considered approach relies on the mass conservation principle and bypasses the details of the air-land interface modeling, we propose that the atmospheric components of RCMs still face diffic...

Lucarini, V; Kriegerova, I; Speranza, A; Danihlik, Robert; Kriegerova, Ida; Lucarini, Valerio; Speranza, Antonio

2006-01-01T23:59:59.000Z

419

Resources | Jefferson Lab  

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

Resources Resources Machine Control Center Display Jefferson Lab's accelerator is operated from the Machine Control Center. The MCC features a full-wall display that allows...

420

Ombuds Self Help Resources  

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

Self Help Resources Ombuds Self Help Resources Committed to the fair and equitable treatment of all employees, contractors, and persons doing business with the Laboratory. Contact...

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Geochemical Fingerprinting of Coltan Ores by Machine Learning on Uneven Datasets  

SciTech Connect (OSTI)

Two modern machine learning techniques, Linear Programming Boosting (LPBoost) and Support Vector Machines (SVMs), are introduced and applied to a geochemical dataset of niobium-tantalum ('coltan') ores from Central Africa to demonstrate how such information may be used to distinguish ore provenance, i.e., place of origin. The compositional data used include uni- and multivariate outliers and elemental distributions are not described by parametric frequency distribution functions. The 'soft margin' techniques of LPBoost and SVMs can be applied to such data. Optimization of their learning parameters results in an average accuracy of up to c. 92%, if spot measurements are assessed to estimate the provenance of ore samples originating from two geographically defined source areas. A parameterized performance measure, together with common methods for its optimization, was evaluated to account for the presence of uneven datasets. Optimization of the classification function threshold improves the performance, as class importance is shifted towards one of those classes. For this dataset, the average performance of the SVMs is significantly better compared to that of LPBoost.

Savu-Krohn, Christian, E-mail: christian.savu-krohn@unileoben.ac.at; Rantitsch, Gerd, E-mail: gerd.rantitsch@unileoben.ac.at [Montanuniversitaet Leoben, Department of Applied Geosciences and Geophysics (Austria); Auer, Peter, E-mail: auer@unileoben.ac.at [Chair for Information Technology, Montanuniversitaet Leoben (Austria); Melcher, Frank, E-mail: frank.melcher@bgr.de; Graupner, Torsten, E-mail: torsten.graupner@bgr.de [Federal Institute for Geosciences and Natural Resources (Germany)

2011-09-15T23:59:59.000Z

422

Stakeholder Engagement and Outreach: Native American Resources  

Wind Powering America (EERE)

Resources Resources This page lists resources and tools specifically for Native Americans. Read personal interviews with Native Americans who have experience installing wind power on Native American lands, find wind resource maps that have Indian Reservation boundaries, and watch a video about installing wind power on Native American lands. Search the Stakeholder Engagement and Outreach initiative's Database Choose a Type of Information All News Publications Web Resource Videos Choose # of Records per Page Default (10 per page) 5 25 50 To search the titles, enter a word or phrase. Start Search Clear Contents Total of 42 records found. Page 1 of 9, Sorted by descending date Filtered by: Native Americans 1 2 3 4 5 6 7 8 9 Next Page >> Date sort by ascending date sort by descending date State sort by ascending state sort by descending state Type of Information Program Area Title sort by ascending title sort by descending title

423

NREL-Wind Resource Assessment Handbook | Open Energy Information  

Open Energy Info (EERE)

Wind Resource Assessment Handbook Wind Resource Assessment Handbook Jump to: navigation, search Tool Summary LAUNCH TOOL Name: NREL-Wind Resource Assessment Handbook Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Wind Topics: Resource assessment Resource Type: Guide/manual, Training materials Website: www.nrel.gov/docs/legosti/fy97/22223.pdf NREL-Wind Resource Assessment Handbook Screenshot References: Wind Resource Assessment Handbook[1] Logo: NREL-Wind Resource Assessment Handbook This handbook presents industry-accepted guidelines for planning and conducting a wind resource measurement program to support a wind energy feasibility initiative. About "This handbook presents industry-accepted guidelines for planning and conducting a wind resource measurement program to support a wind energy

424

1992 Resource Program, 10 Year Plan : Draft II.  

SciTech Connect (OSTI)

The Resource Program is the Bonneville Power Administration's primary process for deciding how to meet future electricity resource needs, how much new resources to develop, which types of resources to acquire or option and how to go about acquiring them, and how much BPA will have to spend for these resources. Recognizing that BPA must make a long-term commitment to acquiring conservation effectively, the 1992 Resource Program outlines a 10-year plan. Draft 2 of the 1992 Resource Program provides a framework for discussing the funding levels proposed in the Programs in Perspective (PIP) process. Previous final resource programs have been released prior to the PIP process. This version of the Resource Program recognizes that the PIP discussions are an integral part of the resource decision-making process and, therefore, it will be finalized after PIP.

United States. Bonneville Power Administration.

1992-05-01T23:59:59.000Z

425

1992 Resource Program, 10 Year Plan : Draft II.  

SciTech Connect (OSTI)

The Resource Program is the Bonneville Power Administration`s primary process for deciding how to meet future electricity resource needs, how much new resources to develop, which types of resources to acquire or option and how to go about acquiring them, and how much BPA will have to spend for these resources. Recognizing that BPA must make a long-term commitment to acquiring conservation effectively, the 1992 Resource Program outlines a 10-year plan. Draft 2 of the 1992 Resource Program provides a framework for discussing the funding levels proposed in the Programs in Perspective (PIP) process. Previous final resource programs have been released prior to the PIP process. This version of the Resource Program recognizes that the PIP discussions are an integral part of the resource decision-making process and, therefore, it will be finalized after PIP.

United States. Bonneville Power Administration.

1992-05-01T23:59:59.000Z

426

Wood3 Resources | Open Energy Information  

Open Energy Info (EERE)

Wood3 Resources Wood3 Resources Jump to: navigation, search Name Wood3 Resources Place Houston, Texas Zip 77056-2409 Product Wood3 Resources is an energy project development firm run by former Federal Energy Regulatory Commission Chairman Pat Wood. Coordinates 29.76045°, -95.369784° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.76045,"lon":-95.369784,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

427

Magellan Resources Group LLC | Open Energy Information  

Open Energy Info (EERE)

Magellan Resources Group LLC Magellan Resources Group LLC Jump to: navigation, search Name Magellan Resources Group LLC Place Chantilly, Virginia Zip 20151 Product Magellan Resources is an energy development and investment company primarily focused on alternative energy projects. Coordinates 38.883607°, -77.439755° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.883607,"lon":-77.439755,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

428

Oregon Water Resources Department | Open Energy Information  

Open Energy Info (EERE)

Oregon Water Resources Department Oregon Water Resources Department Jump to: navigation, search Logo: Oregon Water Resources Department Name Oregon Water Resources Department Address 725 Summer Street NE, Suite A Place Salem, Oregon Zip 97301 Phone number 503-986-0900 Website http://www.oregon.gov/owrd/Pag Coordinates 44.945748°, -123.028013° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.945748,"lon":-123.028013,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

429

Agency of Renewable Resources | Open Energy Information  

Open Energy Info (EERE)

Resources Resources Jump to: navigation, search Name Agency of Renewable Resources Place Gulzow, Germany Zip 18276 Sector Renewable Energy Product In 1993 the FNR was initiated by the Federal Ministry of Nourishment, Agriculture and Forestry in order to support research and development in the subject area of renewable resources. Coordinates 54.033298°, 13.1167° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":54.033298,"lon":13.1167,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

430

Davenport Resources LLC | Open Energy Information  

Open Energy Info (EERE)

Davenport Resources LLC Davenport Resources LLC Jump to: navigation, search Name Davenport Resources LLC Place Greenwich, Connecticut Zip CT 06830 Product Davenport Resources is a private equity firm to operate private funds and support companies with progressive technology and energy. It focuses on sustainable electric power projects. Coordinates 38.433183°, -111.922498° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.433183,"lon":-111.922498,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

431

Career Map: Resource Scientist  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Resource Scientist positions.

432

Missouri Water Resource Law (Missouri) | Department of Energy  

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

Missouri Water Resource Law (Missouri) Missouri Water Resource Law (Missouri) Missouri Water Resource Law (Missouri) < Back Eligibility Agricultural Commercial Construction Industrial Institutional Investor-Owned Utility Local Government Municipal/Public Utility Rural Electric Cooperative Tribal Government Utility Savings Category Water Buying & Making Electricity Program Info State Missouri Program Type Environmental Regulations Provider Missouri Department of Natural Resources The Department of Natural Resources is responsible for ensuring that the quality and quantity of the water resources of the state are maintained at the highest level practicable to support present and future beneficial uses. The Department maintains an ongoing statewide surface and groundwater monitoring program and is authorized to enact regulations and restrict uses

433

Virginia Geothermal Resources Conservation Act (Virginia) | Department of  

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

Virginia Geothermal Resources Conservation Act (Virginia) Virginia Geothermal Resources Conservation Act (Virginia) Virginia Geothermal Resources Conservation Act (Virginia) < Back Eligibility Commercial Construction Developer Industrial Investor-Owned Utility Municipal/Public Utility Rural Electric Cooperative Systems Integrator Utility Savings Category Buying & Making Electricity Program Info State Virginia Program Type Safety and Operational Guidelines Provider Virginia Department of Mines, Minerals, and Energy It is the policy of the Commonwealth of Virginia to foster the development, production, and utilization of geothermal resources, prevent waste of geothermal resources, protect correlative rights to the resource, protect existing high quality state waters and safeguard potable waters from pollution, safeguard the natural environment, and promote geothermal and

434

Teacher Resource Center: Science Fair Resources  

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

Science Fair Resources Science Fair Resources TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The Teacher Resource Center collection is available for use onsite. The TRC is a member of the DuPage Library System. This list was prepared for a presentation to several regional library systems. The Science Fair and Beyond, was presented by Susan Dahl, sdahl@fnal.gov, 630-840-3094. (links checked October 27, 2009) See the 'Customized Workshops" link in the "Teacher's Lounge" for information about more workshops available through the TRC. Explore the Education Office website for other opportunities and services.

435

Where can I find APIs and other resources for developers competing at  

Open Energy Info (EERE)

Where can I find APIs and other resources for developers competing at Where can I find APIs and other resources for developers competing at Cleanweb hackathons? Home > Groups > Developer Submitted by Rmckeel on 25 June, 2012 - 07:23 1 answer Points: 0 There are a few that I know of: http://en.openei.org/wiki/Help:Energy_Hackathon_Resources is the list on OpenEI (please add/edit the page if you want!) Also check out http://cleanweb.co/apis and http://cleanweb.co/datasets for APIs and datasets developers can use! Rmckeel on 25 June, 2012 - 07:24 Groups Menu You must login in order to post into this group. Recent content Thank you Jon, I know about th... Hi Yury-Thank you for your i... source code for OpenEI extensions Timo,My apologies for the ... Browse by region (RaphaelSVGMap) more Group members (19) Managers: Rmckeel Recent members:

436

Where can I find APIs and other resources for developers competing at  

Open Energy Info (EERE)

Where can I find APIs and other resources for developers competing at Where can I find APIs and other resources for developers competing at Cleanweb hackathons? Home > Groups > Developer Submitted by Rmckeel on 25 June, 2012 - 07:23 1 answer Points: 0 There are a few that I know of: http://en.openei.org/wiki/Help:Energy_Hackathon_Resources is the list on OpenEI (please add/edit the page if you want!) Also check out http://cleanweb.co/apis and http://cleanweb.co/datasets for APIs and datasets developers can use! Rmckeel on 25 June, 2012 - 07:24 Groups Menu You must login in order to post into this group. Recent content Thank you Jon, I know about th... Hi Yury-Thank you for your i... source code for OpenEI extensions Timo,My apologies for the ... Browse by region (RaphaelSVGMap) more Group members (19) Managers: Rmckeel Recent members:

437

NREL GIS Data: South Carolina High Resolution Wind Resource | OpenEI  

Open Energy Info (EERE)

646 646 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278646 Varnish cache server NREL GIS Data: South Carolina High Resolution Wind Resource Dataset Summary Description Abstract: Annual average wind resource potential for the state of South Carolina at a 50 meter height. Purpose: Provide information on the wind resource development potential within the state of South Carolina. Supplemental_Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a WGS 84 projection system.

438

Benin: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Benin: Energy Resources Benin: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":9.5,"lon":2.25,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

439

Missouri: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Missouri: Energy Resources Missouri: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.9642529,"lon":-91.8318334,"alt":0,"address":"Missouri","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

440

Saint Helena: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Helena: Energy Resources Helena: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-15.95,"lon":-5.7,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Martinique: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Martinique: Energy Resources Martinique: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":14.66667,"lon":-61,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

442

Syria: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Syria: Energy Resources Syria: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35,"lon":38,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

443

Philippines: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Philippines: Energy Resources Philippines: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":13,"lon":122,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

444

Guadeloupe: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Guadeloupe: Energy Resources Guadeloupe: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":16.25,"lon":-61.58333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

445

Brazil: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Brazil: Energy Resources Brazil: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-10,"lon":-55.001388888889,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

446

Bhutan: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Bhutan: Energy Resources Bhutan: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":27.5,"lon":90.5,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

447

Liberia: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Liberia: Energy Resources Liberia: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":6.428055,"lon":-9.429499,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

448

Bangladesh: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Bangladesh: Energy Resources Bangladesh: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":24,"lon":90,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

449

Kenya: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Kenya: Energy Resources Kenya: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":1,"lon":38,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

450

New Jersey: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

New Jersey: Energy Resources New Jersey: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.0583238,"lon":-74.4056612,"alt":0,"address":"New

451

Egypt: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Egypt: Energy Resources Egypt: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":27,"lon":30,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

452

Tanzania: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Tanzania: Energy Resources Tanzania: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-6,"lon":35,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

453

Belarus: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Belarus: Energy Resources Belarus: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":53,"lon":28,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

454

Australia: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Australia: Energy Resources Australia: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-25,"lon":135,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

455

Sri Lanka: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Sri Lanka: Energy Resources Sri Lanka: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":7,"lon":81,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

456

Massachusetts: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Massachusetts: Energy Resources Massachusetts: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.4072107,"lon":-71.3824374,"alt":0,"address":"Massachusetts","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

457

Bolivia: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Bolivia: Energy Resources Bolivia: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-17,"lon":-65,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

458

Equatorial Guinea: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Equatorial Guinea: Energy Resources Equatorial Guinea: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":2,"lon":10,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

459

Lebanon: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Lebanon: Energy Resources Lebanon: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.8333333,"lon":35.8333333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

460

Mali: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Mali: Energy Resources Mali: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":17,"lon":-4,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Mozambique: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Mozambique: Energy Resources Mozambique: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-18.25,"lon":35,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

462

Washington: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Washington: Energy Resources Washington: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":47.7510741,"lon":-120.7401386,"alt":0,"address":"Washington

463

Kansas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Kansas: Energy Resources Kansas: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.011902,"lon":-98.4842465,"alt":0,"address":"Kansas","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

464

China: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

China: Energy Resources China: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35,"lon":105,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

465

Luxembourg: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Luxembourg: Energy Resources Luxembourg: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":49.75,"lon":6.1666667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

466

Myanmar: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Myanmar: Energy Resources Myanmar: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":22,"lon":98,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

467

Alaska: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Alaska: Energy Resources Alaska: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":64.2008413,"lon":-149.4936733,"alt":0,"address":"Alaska","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

468

Montenegro: Energy Resources | Open Energy Information  

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Montenegro: Energy Resources Montenegro: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.5,"lon":19.3,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

469

Palau: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Palau: Energy Resources Palau: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":6,"lon":134,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

470

Grenada: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Grenada: Energy Resources Grenada: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":12.11667,"lon":-61.66667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

471

Michigan: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Michigan: Energy Resources Michigan: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.3148443,"lon":-85.6023643,"alt":0,"address":"Michigan","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

472

Dominica: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Dominica: Energy Resources Dominica: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":15.5,"lon":-61.33333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

473

Samoa: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Samoa: Energy Resources Samoa: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-13.5833333,"lon":-172.3333333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

474

Armenia: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Armenia: Energy Resources Armenia: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40,"lon":45,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

475

Lesotho: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Lesotho: Energy Resources Lesotho: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-29.5,"lon":28.25,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

476

Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Ohio: Energy Resources Ohio: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.4172871,"lon":-82.907123,"alt":0,"address":"Ohio","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

477

Paraguay: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Paraguay: Energy Resources Paraguay: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-22.9933333,"lon":-57.9963889,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

478

Nebraska: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Nebraska: Energy Resources Nebraska: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.4925374,"lon":-99.9018131,"alt":0,"address":"Nebraska","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

479

Botswana: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Botswana: Energy Resources Botswana: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-22,"lon":24,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

480

Gambia: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Gambia: Energy Resources Gambia: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":13.5,"lon":-15.5,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "resource type dataset" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

New York: Energy Resources New York: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.7143528,"lon":-74.0059731,"alt":0,"address":"New

482

Italy: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Italy: Energy Resources Italy: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.83333,"lon":12.83333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

483

Anguilla: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Anguilla: Energy Resources Anguilla: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":18.21667,"lon":-63.05,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

484

South Dakota: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Dakota: Energy Resources Dakota: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.9695148,"lon":-99.9018131,"alt":0,"address":"South

485

South Carolina: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Carolina: Energy Resources Carolina: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.836081,"lon":-81.1637245,"alt":0,"address":"South

486

Maldives: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Maldives: Energy Resources Maldives: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":3.2,"lon":73,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

487

Hungary: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Hungary: Energy Resources Hungary: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":47,"lon":20,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

488

Oman: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Oman: Energy Resources Oman: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":21,"lon":57,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

489

Texas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Texas: Energy Resources Texas: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":31.9685988,"lon":-99.9018131,"alt":0,"address":"Texas","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

490

North Dakota: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

North Dakota: Energy Resources North Dakota: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":47.5514926,"lon":-101.0020119,"alt":0,"address":"North

491

Cuba: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Cuba: Energy Resources Cuba: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":22,"lon":-79.5,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

492

Malawi: Energy Resources | Open Energy Information  

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Malawi: Energy Resources Malawi: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-13.5,"lon":34,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

493

Netherlands Antilles: Energy Resources | Open Energy Information  

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Netherlands Antilles: Energy Resources Netherlands Antilles: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":12.1666667,"lon":-69,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

494

Pakistan: Energy Resources | Open Energy Information  

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Pakistan: Energy Resources Pakistan: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":30,"lon":70,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

495

Vanuatu: Energy Resources | Open Energy Information  

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496

Canada: Energy Resources | Open Energy Information  

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Canada: Energy Resources Canada: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":58.813741715708,"lon":-106.875,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

497

Nauru: Energy Resources | Open Energy Information  

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498

Sweden: Energy Resources | Open Energy Information  

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Sweden: Energy Resources Sweden: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":62,"lon":15,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

499

Haiti: Energy Resources | Open Energy Information  

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Haiti: Energy Resources Haiti: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":19,"lon":-72.41667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

500

Saint Lucia: Energy Resources | Open Energy Information  

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Saint Lucia: Energy Resources Saint Lucia: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":13.8833333,"lon":-60.9666667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}