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Note: This page contains sample records for the topic "resource datasets modeled" 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

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...

2

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...

3

Earth System Grid II, Turning Climate Datasets into Community Resources  

SciTech Connect

The Earth System Grid (ESG) II project, funded by the Department of Energy’s 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 Energy’s supercomputing resources and the Internet. Our project’s 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

4

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

5

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

6

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

7

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

8

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

9

Nuclear Mass Datasets and Models at nuclearmasses.org  

DOE Data Explorer (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.

10

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

11

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

12

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

13

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

SciTech Connect

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

14

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

SciTech Connect

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

15

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

16

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

17

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

18

Better Buildings Neighborhood Program: Business Model Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Business Model Business Model Resources to someone by E-mail Share Better Buildings Neighborhood Program: Business Model Resources on Facebook Tweet about Better Buildings Neighborhood Program: Business Model Resources on Twitter Bookmark Better Buildings Neighborhood Program: Business Model Resources on Google Bookmark Better Buildings Neighborhood Program: Business Model Resources on Delicious Rank Better Buildings Neighborhood Program: Business Model Resources on Digg Find More places to share Better Buildings Neighborhood Program: Business Model Resources on AddThis.com... Getting Started Assess the Market Establish Goals & Objectives Develop Plans of Action Business Model Resources Driving Demand Financing Workforce Development Business Model Resources Business Models Workshop and Materials

19

Constraining the Mass Profiles of Stellar Systems: Schwarzschild Modeling of Discrete Velocity Datasets  

E-Print Network (OSTI)

(ABRIDGED) We present a new Schwarzschild orbit-superposition code designed to model discrete datasets composed of velocities of individual kinematic tracers in a dynamical system. This constitutes an extension of previous implementations that can only address continuous data in the form of (the moments of) velocity distributions, thus avoiding potentially important losses of information due to data binning. Furthermore, the code can handle any combination of available velocity components, i.e., only line-of-sight velocities, only proper motions, or a combination of both. It can also handle a combination of discrete and continuous data. The code finds the distribution function (DF, a function of the three integrals of motion E, Lz, and I3) that best reproduces the available kinematic and photometric observations in a given axisymmetric gravitational potential. The fully numerical approach ensures considerable freedom on the form of the DF f(E,Lz,I3). This allows a very general modeling of the orbital structure, thus avoiding restrictive assumptions about the degree of (an)isotropy of the orbits. We describe the implementation of the discrete code and present a series of tests of its performance based on the modeling of simulated datasets generated from a known DF. We find that the discrete Schwarzschild code recovers the original orbital structure, M/L ratios, and inclination of the input datasets to satisfactory accuracy, as quantified by various statistics. The code will be valuable, e.g., for modeling stellar motions in Galactic globular clusters, and those of individual stars, planetary nebulae, or globular clusters in nearby galaxies. This can shed new light on the total mass distributions of these systems, with central black holes and dark matter halos being of particular interest.

Julio Chanamé; Jan Kleyna; Roeland van der Marel

2008-04-21T23:59:59.000Z

20

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

Note: This page contains sample records for the topic "resource datasets modeled" 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

Modeling renewable energy resources in integrated resource planning  

SciTech Connect

Including renewable energy resources in integrated resource planning (IRP) requires that utility planning models properly consider the relevant attributes of the different renewable resources in addition to conventional supply-side and demand-side options. Otherwise, a utility`s resource plan is unlikely to have an appropriate balance of the various resource options. The current trend toward regulatory set-asides for renewable resources is motivated in part by the perception that the capabilities of current utility planning models are inadequate with regard to renewable resources. Adequate modeling capabilities and utility planning practices are a necessary prerequisite to the long-term penetration of renewable resources into the electric utility industry`s resource mix. This report presents a review of utility planning models conducted for the National Renewable Energy Laboratory (NREL). The review examines the capabilities of utility planning models to address key issues in the choice between renewable resources and other options. The purpose of this review is to provide a basis for identifying high priority areas for advancing the state of the art.

Logan, D.; Neil, C.; Taylor, A. [RCG/Hagler, Bailly, Inc., Boulder, CO (United States)

1994-06-01T23:59:59.000Z

22

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

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

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

23

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

24

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

25

State Energy Program: Kentucky Implementation Model Resources  

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

Below are resources associated with the U.S. Department of Energy's Weatherization and Intergovernmental Programs Office State Energy Program Kentucky Implementation Model.

26

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

DOE Data Explorer (OSTI)

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

27

NREL: Transmission Grid Integration - Western Wind Dataset  

NLE Websites -- All DOE Office Websites (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

28

Reconstructing generalized ghost condensate model with dynamical dark energy parametrizations and observational datasets  

E-Print Network (OSTI)

Observations of high-redshift supernovae indicate that the universe is accelerating at the present stage, and we refer to the cause for this cosmic acceleration as ``dark energy''. In particular, the analysis of current data of type Ia supernovae (SNIa), cosmic large-scale structure (LSS), and the cosmic microwave background (CMB) anisotropy implies that, with some possibility, the equation-of-state parameter of dark energy may cross the cosmological-constant boundary ($w=-1$) during the recent evolution stage. The model of ``quintom'' has been proposed to describe this $w=-1$ crossing behavior for dark energy. As a single-real-scalar-field model of dark energy, the generalized ghost condensate model provides us with a successful mechanism for realizing the quintom-like behavior. In this paper, we reconstruct the generalized ghost condensate model in the light of three forms of parametrization for dynamical dark energy, with the best-fit results of up-to-date observational data.

Jingfei Zhang; Xin Zhang; Hongya Liu

2007-03-21T23:59:59.000Z

29

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

30

Fitting Non-Minimally Coupled Scalar Models to Gold SnIa Dataset  

E-Print Network (OSTI)

Non-minimally coupled theories of special potentials are analyzed numerically. Such theories yield equations of state $\\omegadataset, we obtain results comparable with other models. A potential of the form $V(\\phi)=V_0e^{a_1\\phi^2}$ yields $\\chi^2_{min}=170.127$. Similar results are obtained for potentials of the form $V(\\phi)=V_0+a_1\\phi^n$.

Mingxing Luo; Qiping Su

2005-08-18T23:59:59.000Z

31

Electrical Model Development and Validation for Distributed Resources  

SciTech Connect

This project focuses on the development of electrical models for small (1-MW) distributed resources at the National Renewable Energy Laboratory's Distributed Energy Resources Test Facility.

Simoes, M. G.; Palle, B.; Chakraborty, S.; Uriarte, C.

2007-04-01T23:59:59.000Z

32

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

33

"Modeling for effective and sustainable water resources management."  

E-Print Network (OSTI)

"Modeling for effective and sustainable water resources management." Teresa Culver Associate Engineering University of Virginia Charlottesville, VA 434.982.6375 Environmental & Water Resources Group We prepare engineers for careers in the interdisciplinary field of environmental and water resources

Acton, Scott

34

NREL: Transmission Grid Integration - Data and Resources  

NLE Websites -- All DOE Office Websites (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,

35

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

36

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

DOE Data Explorer (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.

37

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

38

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

39

Commons and Anticommons in a simple Renewable Resource Harvest Model  

E-Print Network (OSTI)

Commons and Anticommons in a simple Renewable Resource Harvest Model June 20, 2007 M. Bredea a model where agents harvesting from a renewable resource can impose limita- tions on the harvesting that a fluctuation destabilizes the system into severe overexploitation. key words: renewable resources, commons

Boschetti, Fabio

40

Modeling Water Resource Systems under Climate Change: IGSM-WRS  

E-Print Network (OSTI)

Through the integration of a Water Resource System (WRS) component, the MIT Integrated Global System Model (IGSM) framework has been enhanced to study the effects of climate change on managed water-resource systems. ...

Strzepek, K.

Note: This page contains sample records for the topic "resource datasets modeled" 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

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...

42

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...

43

Business Model Resources | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Insights 3.3.4 Conclusion: Summary of Utility Program Administrator Insights Summary of Real Estate Agent Insights Business Planning Resources - Working with Partners The...

44

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

45

Geothermal resource conceptual models using surface exploration data | Open  

Open Energy Info (EERE)

Geothermal resource conceptual models using surface exploration data 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 support from a conceptual model. The most important element of a geothermal conceptual model is a predicted natural state isotherm pattern, especially in section view. Although inferring such an isotherm pattern at an

46

Improvement of Offshore Wind Resource Modeling in the Mid-  

E-Print Network (OSTI)

Improvement of Offshore Wind Resource Modeling in the Mid- Atlantic Bight Wind Energy Symposium Sienkiewicz , Chris Hughes 26 February 2013 #12;Improving Atmospheric Models for Offshore Wind Resource Interaction Tower ­ 23 m NOAA Buzzard's Bay Tower ­ 25 m Cape Wind Tower (60 m from 2003-2011; just platform

Firestone, Jeremy

47

Distributed Energy Resources Market Diffusion Model  

SciTech Connect

Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase DER adoption, and thus, shift building energy consumption to a more efficient alternative.

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui,Afzal S.

2006-06-16T23:59:59.000Z

48

National Strategic Unconventional Resource Model | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model This is the second revision to the National Strategic Unconventional Resources Model that was developed in 2005-2006 to support the Task Force mandated by Congress in subsection 369(h) of the Energy Policy Act of 2005. The primary function of the first Model was to evaluate varying economic scenarios for four technologies: Surface Mining, Underground Mining, Modified In-Situ, and True In-Situ. In 2009 the Model was revised to update the cost data in the first Model. This second revision of the Model adds a fifth Hybrid technology that can be evaluated economically; and it also adds the capability of determining water requirements, CO2 production, and energy efficiency for the first four technologies. Subject to the

49

National Strategic Unconventional Resource Model | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model This is the second revision to the National Strategic Unconventional Resources Model that was developed in 2005-2006 to support the Task Force mandated by Congress in subsection 369(h) of the Energy Policy Act of 2005. The primary function of the first Model was to evaluate varying economic scenarios for four technologies: Surface Mining, Underground Mining, Modified In-Situ, and True In-Situ. In 2009 the Model was revised to update the cost data in the first Model. This second revision of the Model adds a fifth Hybrid technology that can be evaluated economically; and it also adds the capability of determining water requirements, CO2 production, and energy efficiency for the first four technologies. Subject to the

50

New Models Help Optimize Development of Bakken Shale Resources | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Models Help Optimize Development of Bakken Shale Resources Models Help Optimize Development of Bakken Shale Resources New Models Help Optimize Development of Bakken Shale Resources February 7, 2012 - 12:00pm Addthis Washington, DC - Exploration and field development in the largest continuous oil play in the lower 48 states, located in North Dakota and eastern Montana, will be guided by new geo-models developed with funding from the Department of Energy's (DOE) Office of Fossil Energy (FE). The three-year project to develop exploration and reservoir models for the Bakken Shale resource play was conducted by the Colorado School of Mines (CSM), through research funded by FE's Oil and Natural Gas Program. A "play" is a shale formation containing significant accumulations of natural gas or oil. The U.S. Geological Survey estimates the Bakken Shale

51

New Models Help Optimize Development of Bakken Shale Resources | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

New Models Help Optimize Development of Bakken Shale Resources New Models Help Optimize Development of Bakken Shale Resources New Models Help Optimize Development of Bakken Shale Resources February 7, 2012 - 12:00pm Addthis Washington, DC - Exploration and field development in the largest continuous oil play in the lower 48 states, located in North Dakota and eastern Montana, will be guided by new geo-models developed with funding from the Department of Energy's (DOE) Office of Fossil Energy (FE). The three-year project to develop exploration and reservoir models for the Bakken Shale resource play was conducted by the Colorado School of Mines (CSM), through research funded by FE's Oil and Natural Gas Program. A "play" is a shale formation containing significant accumulations of natural gas or oil. The U.S. Geological Survey estimates the Bakken Shale

52

Resource allocation contracts for open analytic runtime models  

Science Journals Connector (OSTI)

Open Analytic Runtime (OAR) Models embed analysis algorithms into runtime architectural models, thus integrating the model and its analytic interpretations. Such an integration is critical for Cyber-Physical Systems (CPS) when model parts are independently ... Keywords: aadl, assumption management, cyber-physical systems, design by contract, resource allocation

Min-Young Nam; Dionisio de Niz; Lutz Wrage; Lui Sha

2011-10-01T23:59:59.000Z

53

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

54

Modeling Through Shared Resources, No High-Fashion Experience Required |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Modeling Through Shared Resources, No High-Fashion Experience Modeling Through Shared Resources, No High-Fashion Experience Required Modeling Through Shared Resources, No High-Fashion Experience Required May 30, 2013 - 10:07am Addthis NETL high-performance computer clusters at Oregon State University. NETL high-performance computer clusters at Oregon State University. Modeling - the computer kind, not the runway kind - can help researchers predict particle movement, enabling improvements in the design of components used in energy production. To give graduate students experience modeling these systems, the National Energy Technology Laboratory (NETL) has placed several high-performance computer clusters at Oregon State University. Oregon State professor Sourabh Apte and his graduate students use the computer clusters to work with NETL scientists on Department of

55

Resources  

NLE Websites -- All DOE Office Websites (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

56

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...

57

Decoupling and Utility Business Model Resources  

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

Energy efficiency measures result in decreased energy use, which may be contrary to a utility whose business model involves increasing revenue through increased energy demand.

58

Essential Terrestrial Variable data workflows for distributed water resources modeling  

Science Journals Connector (OSTI)

This paper discusses a prototype infrastructure, HydroTerre, that provides researchers, educators and resource managers with seamless access to geospatial/geotemporal data for supporting physics-based numerical models. The prototype defines the supporting ... Keywords: Data workflow, Distributed hydrologic model, Essential Terrestrial Variables, Geographic information systems, HydroTerre, PIHM, Web services

Lorne Leonard; Christopher J. Duffy

2013-12-01T23:59:59.000Z

59

Solar Resource Modelling for Energy Applications  

Science Journals Connector (OSTI)

Solar energy is the main driver of natural processes on the Earth surface. It is an important input parameter into environmental, ecological and risksimulation models as the energy budget at the land surface a...

Marcel Šúri; Thomas Huld; Ewan D. Dunlop; Jaroslav Hofierka

2007-01-01T23:59:59.000Z

60

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

Note: This page contains sample records for the topic "resource datasets modeled" 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

Solar Resource Characterization; Session: Modeling and Analysis (Presentation)  

SciTech Connect

This project supports the Solar America Initiative by: (1) meeting increasing demands for expertise in and products on solar radiation data and models--production and distribution of reliable, accurate domestic and international solar resource data, benchmarking and cross-comparison of solar irradiance models; and coordination with the international community (IEA/SHC Task 36, WMO); (2) reducing data uncertainties and increasing temporal and spatial data resolutions; (3) developing and testing short term solar resource forecasts; (4) evaluating methods for producing long term data sets from short term observations; and (5) conducting measurement activities at selected sites.

Renne, D.

2008-04-01T23:59:59.000Z

62

Resources  

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

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

63

Solar Resource Assessment: Databases, Measurements, Models, and Information Sources (Fact Sheet)  

SciTech Connect

Fact sheet for Solar Resource Assessment Workshop, Denver CO, Oct 29, 2008: ?Solar Resource Assessment Databases, Measurements, Models, and Information Sources

Not Available

2008-10-01T23:59:59.000Z

64

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

DOE Data Explorer (OSTI)

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

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

65

Stochastic Models and Analysis for Resource Management in Server Farms  

E-Print Network (OSTI)

farms. State-of-the-art servers come with multiple knobs to control energy consumption, but traditionalStochastic Models and Analysis for Resource Management in Server Farms Varun Gupta CMU-CS-11, Multi-server systems, Load balancing, Scheduling, M/G/k, Time-varying load, Energy management

66

Modeling, Analysis, and Control of Demand Response Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling, Analysis, and Control of Demand Response Resources Modeling, Analysis, and Control of Demand Response Resources Speaker(s): Johanna Mathieu Date: April 27, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Sila Kiliccote While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can play an active role in power systems via Demand Response (DR). Recent DR programs have focused on peak load reduction in commercial buildings and industrial facilities (C&I facilities). We present a regression-based baseline model, which allows us to quantify DR performance. We use this baseline model to understand the performance of C&I facilities participating in an automated dynamic pricing DR program in California. In this program, facilities are

67

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,

68

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

69

Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

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

70

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

71

Strategies for Energy Efficient Resource Management of Hybrid Programming Models  

SciTech Connect

Many scientific applications are programmed using hybrid programming models that use both message-passing and shared-memory, due to the increasing prevalence of large-scale systems with multicore, multisocket nodes. Previous work has shown that energy efficiency can be improved using software-controlled execution schemes that consider both the programming model and the power-aware execution capabilities of the system. However, such approaches have focused on identifying optimal resource utilization for one programming model, either shared-memory or message-passing, in isolation. The potential solution space, thus the challenge, increases substantially when optimizing hybrid models since the possible resource configurations increase exponentially. Nonetheless, with the accelerating adoption of hybrid programming models, we increasingly need improved energy efficiency in hybrid parallel applications on large-scale systems. In this work, we present new software-controlled execution schemes that consider the effects of dynamic concurrency throttling (DCT) and dynamic voltage and frequency scaling (DVFS) in the context of hybrid programming models. Specifically, we present predictive models and novel algorithms based on statistical analysis that anticipate application power and time requirements under different concurrency and frequency configurations. We apply our models and methods to the NPB MZ benchmarks and selected applications from the ASC Sequoia codes. Overall, we achieve substantial energy savings (8.74% on average and up to 13.8%) with some performance gain (up to 7.5%) or negligible performance loss.

Li, Dong [ORNL; Supinski, Bronis de [Lawrence Livermore National Laboratory (LLNL); Schulz, Martin [Lawrence Livermore National Laboratory (LLNL); Nikolopoulos, Dimitrios S [Virginia Polytechnic Institute and State University; Cameron, Kirk W. [Virginia Polytechnic Institute and State University

2013-01-01T23:59:59.000Z

72

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...

73

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

74

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

SciTech Connect

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

Walker, Anthony P [ORNL] [ORNL; Hanson, Paul J [ORNL] [ORNL; DeKauwe, Martin G [Macquarie University] [Macquarie University; Medlyn, Belinda [Macquarie University] [Macquarie University; Zaehle, S [Max Planck Institute for Biogeochemistry] [Max Planck Institute for Biogeochemistry; Asao, Shinichi [Colorado State University, Fort Collins] [Colorado State University, Fort Collins; Dietze, Michael [University of Illinois, Urbana-Champaign] [University of Illinois, Urbana-Champaign; Hickler, Thomas [Goethe University, Frankfurt, Germany] [Goethe University, Frankfurt, Germany; Huntinford, Chris [Centre for Ecology and Hydrology, Wallingford, United Kingdom] [Centre for Ecology and Hydrology, Wallingford, United Kingdom; Iversen, Colleen M [ORNL] [ORNL; Jain, Atul [University of Illinois, Urbana-Champaign] [University of Illinois, Urbana-Champaign; Lomas, Mark [University of Sheffield] [University of Sheffield; Luo, Yiqi [University of Oklahoma] [University of Oklahoma; McCarthy, Heather R [Duke University] [Duke University; Parton, William [Colorado State University, Fort Collins] [Colorado State University, Fort Collins; Prentice, I. Collin [Macquarie University] [Macquarie University; Thornton, Peter E [ORNL] [ORNL; Wang, Shusen [Canada Centre for Remote Sensing (CCRS)] [Canada Centre for Remote Sensing (CCRS); Wang, Yingping [CSIRO Marine and Atmospheric Research] [CSIRO Marine and Atmospheric Research; Warlind, David [Lund University, Sweden] [Lund University, Sweden; Weng, Ensheng [University of Oklahoma, Norman] [University of Oklahoma, Norman; Warren, Jeffrey [ORNL] [ORNL; Woodward, F. Ian [University of Sheffield] [University of Sheffield; Oren, Ram [Duke University] [Duke University; Norby, Richard J [ORNL] [ORNL

2014-01-01T23:59:59.000Z

75

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...

76

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:...

77

NREL: Transmission Grid Integration - Wind Integration Datasets  

NLE Websites -- All DOE Office Websites (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...

78

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

79

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

80

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

SciTech Connect

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

Note: This page contains sample records for the topic "resource datasets modeled" 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

Impact Assessment of Abiotic Resources in LCA: Quantitative Comparison of Selected Characterization Models  

Science Journals Connector (OSTI)

Impact Assessment of Abiotic Resources in LCA: Quantitative Comparison of Selected Characterization Models ... Resources have received significant attention in recent years resulting in development of a wide range of resource depletion indicators within life cycle assessment (LCA). ... Finally, we classify the existing methods into three groups, according to method focus and modeling approach, to aid method selection within LCA. ...

Jakob T. Rørbech; Carl Vadenbo; Stefanie Hellweg; Thomas F. Astrup

2014-09-10T23:59:59.000Z

82

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

SciTech Connect

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

83

Use of high performance computing resources for underwater acoustic modeling.  

Science Journals Connector (OSTI)

The majority of standard underwater propagation models provide a two?dimensional (range and depth) acoustic field for a single frequency point source. Computational resource demand increases considerably when the three?dimensional acoustic field of a broad?band spatially extended source is of interest. An upgrade of the standard parabolic equationmodel RAM for use in a high?performance computing (HPC) environment is discussed. A benchmarked upgraded version of RAM is used in the Louisiana Optical Network Initiative HPC?environment to model the three?dimensional acoustic field of a seismic airgun array. Four?dimensional visualization (time and space) of the generated data volume is also addressed. [Research supported by the Louisiana Optical Network Initiative TeraGrid Fellowship and the Joint Industry Programme through the International Association of Oil and Gas Producers.

Anca M. Niculescu; Natalia A. Sidorovskaia; Peter Achi; Arslan M. Tashmukhambetov; George E. Ioup; Juliette W. Ioup

2009-01-01T23:59:59.000Z

84

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

85

IN SEARCH OF A PROBABILISTIC MODEL OF PETROLEUM RESOURCE ASSESSMENT  

Science Journals Connector (OSTI)

Publisher Summary This chapter discusses a probabilistic model of petroleum resource assessment. At present, petroleum provides the major driving energy for national economies. The foreseen worldwide depletion of petroleum resources in a few decades, at a time of transition to new energy technologies, imposes hardships on many nations but enhances opportunities for those having a petroleum potential. The petroleum prospective areas of the world consist of sedimentary basins and geosynclines not too intensely deformed tectonically, including the continental shelves down to 200 m depth, with a total area under national jurisdictions of about 26.1 million sq mi. Certain oceanic areas beyond the continental shelves—continental rise and continental slope—have petroleum prospects, but their eventual development may be some 10 to 20 years away. The traditional geologic environment for petroleum has been the geosynclinal belt. The larger the tract of undrilled prospective area, the greater is the chances that thick sedimentary pods may occur here and there. Even when a few scattered pieces of evidence may indicate a thin sedimentary cover, prospects for generation and primary migration of petroleum may be enhanced by the large size of a prospective area. The examination of the distribution of petroleum occurrences throughout the world in basins with a significant amount of exploratory drilling indicates that roughly one-half of the prospective basins and geosynclines do not yield any or much petroleum.

B.F. Grossling

1979-01-01T23:59:59.000Z

86

Resource Letter: SM-1: The standard model and beyond  

Science Journals Connector (OSTI)

This Resource Letter provides a guide to literature on the standard model of elementary particles and possible extensions. In the successful theory of quarks and leptons and their interactions important questions remain such as the mechanism of electroweak symmetry breaking the origin of quark and lepton masses the source of the baryon asymmetry of the Universe and the makeup of its matter and energy density. References are cited for quarks and leptons gauge theories color and chromodynamics weak interactions electroweak unification CP violation dynamics of heavy quarks Higgs bosons precision electroweak measurements supersymmetry dynamical electroweak symmetry breaking composite quarks and leptons grand unification and extended gauge groups string theories large extra dimensions neutrino masses cosmic microwave background radiation dark matter dark energy accelerator facilities and non-accelerator experiments.

Jonathan L. Rosner

2003-01-01T23:59:59.000Z

87

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.

88

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

89

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

90

Agency Datasets | Data.gov  

NLE Websites -- All DOE Office Websites (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.

91

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

92

PDSF I/O Resources  

NLE Websites -- All DOE Office Websites (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...

93

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

94

Modeling access to wind resources in the United States  

SciTech Connect

To project the US potential to meet future electricity demands with wind energy, estimates of available wind resource and costs to access that resource are critical. The US Department of Energy (DOE) Energy Information Administration (EIA) annually estimates the US market penetration of wind in its Annual Energy Outlook series. For these estimates, the EIA uses wind resource data developed by the Pacific Northwest National Laboratory for each region of the country. However, the EIA multiplies the cost of windpower by several factors, some as large as 3, to account for resource quality, market factors associated with accessing the resource, electric grid impacts, and rapid growth in the wind industry. This paper examines the rationale behind these additional costs and suggests alternatives.

Short, W.D.

1999-10-20T23:59:59.000Z

95

Modelling renewable electric resources: A case study of wind  

SciTech Connect

The central issue facing renewables in the integrated resource planning process is the appropriate assessment of the value of renewables to utility systems. This includes their impact on both energy and capacity costs (avoided costs), and on emissions and environmental impacts, taking account of the reliability, system characteristics, interactions (in dispatch), seasonality, and other characteristics and costs of the technologies. These are system-specific considerations whose relationships may have some generic implications. In this report, we focus on the reliability contribution of wind electric generating systems, measured as the amount of fossil capacity they can displace while meeting the system reliability criterion. We examine this issue for a case study system at different wind characteristics and penetration, for different years, with different system characteristics, and with different modelling techniques. In an accompanying analysis we also examine the economics of wind electric generation, as well as its emissions and social costs, for the case study system. This report was undertaken for the {open_quotes}Innovative IRP{close_quotes} program of the U.S. Department of Energy, and is based on work by both Union of Concerned Scientists (UCS) and Tellus Institute, including America`s Energy Choices and the UCS Midwest Renewables Project.

Bernow, S.; Biewald, B.; Hall, J.; Singh, D. [Tellus Institute, Boston, MA (United States)

1994-07-01T23:59:59.000Z

96

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"

97

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

98

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

99

Assimilation of observations of radiation level into an atmospheric transport model: A case study with the particle filter and the ETEX tracer dataset  

Science Journals Connector (OSTI)

Atmospheric transport models and observations from monitoring networks are commonly used aids for forecasting spatial distribution of contamination in case of a radiological incident. In this study, we assessed the particle filter data-assimilation technique as a tool for ensemble forecasting the spread of radioactivity. We used measurements from the ETEX-1 tracer experiment and model results from the NPK-Puff atmospheric dispersion model. We showed that assimilation of observations improves the ensemble forecast compared to runs without data assimilation. The improvement is most prominent for nowcasting: the mean squared error was reduced by a factor of 7. For forecasting, the improvement of the mean squared error resulting from assimilation of observations was found to dissipate within a few hours. We ranked absolute model values and observations and calculated the mean squared error of the ranked values. This measure of the correctness of the pattern of high and low values showed an improvement for forecasting up to 48 h. We conclude that the particle filter is an effective tool in better modeling the spread of radioactivity following a release.

Paul H. Hiemstra; Derek Karssenberg; Arjan van Dijk

2011-01-01T23:59:59.000Z

100

Modeling, Analysis, and Control of Demand Response Resources  

E-Print Network (OSTI)

resources like wind and solar power [100, 19]. The goal ofof DFIG-based wind farms to power system short-termimpacts of wind generation on California power systems”. In:

Mathieu, Johanna L.

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource datasets modeled" 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

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

102

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...

103

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

104

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.

105

Final Map Draft Comparison Report WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT  

E-Print Network (OSTI)

II Final Map Draft Comparison Report #12;WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT Tel: 978-749-9591 Fax: 978-749-9713 mbrower@awstruewind.com August 10, 2004 #12;2 WIND ENERGY RESOURCE issues. 1 Background In Task 2 of the project, five promising areas of the state for wind energy

106

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

107

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

108

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"

109

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

110

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

111

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.

112

Incorporation of Agricultural Risk into Water Resource Planning Models  

E-Print Network (OSTI)

the demand for water at an alarming rate. With this in mind, the U. S. Congress has instructed our federal agencies to investigate "The needs and possibilities for all significant resource uses and purposes of development, including, but not limited to...

Conner, J. R.

113

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; Sahlén, Martin; Parkinson, David

2015-01-01T23:59:59.000Z

114

Agency Datasets | Data.gov  

NLE Websites -- All DOE Office Websites (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.

115

Integrated modelling and assessment of regional groundwater resources in Germany and Benin, West Africa  

E-Print Network (OSTI)

1 Integrated modelling and assessment of regional groundwater resources in Germany and Benin, West.J.S. SONNEVELD [1] Institute of Hydraulic Engineering, Universitaet Stuttgart, Germany (Roland Conservation University of Bonn, Germany [3] Institute of Landscape Planning and Ecology, University

Cirpka, Olaf Arie

116

A Grid Portal Model Based on Security and Storage Resource Proxy  

Science Journals Connector (OSTI)

Grid computing is recently developed concept in high performance computing. Security and resource management is the two key technologies in a grid. In this paper, we describe a grid portal model based on security

Quan Zhou; Geng Yang

2005-01-01T23:59:59.000Z

117

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...

118

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:

119

Search for a Dataset - Data.gov  

NLE Websites -- All DOE Office Websites (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,

120

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"

Note: This page contains sample records for the topic "resource datasets modeled" 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

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

122

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

123

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

124

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

125

Toward The Development Of Occurrence Models For Geothermal Resources In The  

Open Energy Info (EERE)

Toward The Development Of Occurrence Models For Geothermal Resources In The Toward The Development Of Occurrence Models For Geothermal Resources In The Western United States Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Toward The Development Of Occurrence Models For Geothermal Resources In The Western United States Details Activities (6) Areas (2) Regions (0) Abstract: Simplified geothermal occurrence models using attributes identified at Coso and elsewhere were developed and applied in preparing the recently completed Department of Defensefunded evaluation of geothermal potential on U.S. military bases. An interpretation of the spatial associations between selected characteristics was used to direct field investigations. Several potential targets were identified using this method, and field investigations at two bases provided evidence supporting

126

Resource Optimization for CSDF-modeled Streaming Applications with Latency Constraints  

E-Print Network (OSTI)

to execute the application should be minimized for better resource usage and energy efficiency. A few efforts modeled as CSDF graphs, where the actors of a CSDF are executed as strictly periodic tasks. We formalize evaluate our solution approach on a set of 13 real-life streaming applications modeled as CSDF graphs

Stefanov, Todor Plamenov

127

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

128

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

129

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)....

130

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

131

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.

132

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...

133

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

134

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

135

Evaluation of the St. Lucia geothermal resource: macroeconomic models  

SciTech Connect

A macroeconometric model describing the St. Lucian economy was developed using 1970 to 1982 economic data. Results of macroeconometric forecasts for the period 1983 through 1985 show an increase in gross domestic product (GDP) for 1983 and 1984 with a decline in 1985. The rate of population growth is expected to exceed GDP growth so that a small decline in per capita GDP will occur. We forecast that garment exports will increase, providing needed employment and foreign exchange. To obtain a longer-term but more general outlook on St. Lucia's economy, and to evaluate the benefit of geothermal energy development, we applied a nonlinear programming model. The model maximizes discounted cumulative consumption.

Burris, A.E.; Trocki, L.K.; Yeamans, M.K.; Kolstad, C.D.

1984-08-01T23:59:59.000Z

136

Models, Simulators, and Data-driven Resources for Oil and Natural Gas Research  

DOE Data Explorer (OSTI)

NETL provides a number of analytical tools to assist in conducting oil and natural gas research. Software, developed under various DOE/NETL projects, includes numerical simulators, analytical models, databases, and documentation.[copied from http://www.netl.doe.gov/technologies/oil-gas/Software/Software_main.html] Links lead users to methane hydrates models, preedictive models, simulators, databases, and other software tools or resources.

137

Resource planning for gas utilities: Using a model to analyze pivotal issues  

SciTech Connect

With the advent of wellhead price decontrols that began in the late 1970s and the development of open access pipelines in the 1980s and 90s, gas local distribution companies (LDCs) now have increased responsibility for their gas supplies and face an increasingly complex array of supply and capacity choices. Heretofore this responsibility had been share with the interstate pipelines that provide bundled firm gas supplies. Moreover, gas supply an deliverability (capacity) options have multiplied as the pipeline network becomes increasing interconnected and as new storage projects are developed. There is now a fully-functioning financial market for commodity price hedging instruments and, on interstate Pipelines, secondary market (called capacity release) now exists. As a result of these changes in the natural gas industry, interest in resource planning and computer modeling tools for LDCs is increasing. Although in some ways the planning time horizon has become shorter for the gas LDC, the responsibility conferred to the LDC and complexity of the planning problem has increased. We examine current gas resource planning issues in the wake of the Federal Energy Regulatory Commission`s (FERC) Order 636. Our goal is twofold: (1) to illustrate the types of resource planning methods and models used in the industry and (2) to illustrate some of the key tradeoffs among types of resources, reliability, and system costs. To assist us, we utilize a commercially-available dispatch and resource planning model and examine four types of resource planning problems: the evaluation of new storage resources, the evaluation of buyback contracts, the computation of avoided costs, and the optimal tradeoff between reliability and system costs. To make the illustration of methods meaningful yet tractable, we developed a prototype LDC and used it for the majority of our analysis.

Busch, J.F.; Comnes, G.A.

1995-11-01T23:59:59.000Z

138

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

139

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

140

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

Note: This page contains sample records for the topic "resource datasets modeled" 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

STP Resources for Statistical & Thermal Physics Density of States of the Two-Dimensional Ising Model  

E-Print Network (OSTI)

STP Resources for Statistical & Thermal Physics Density of States of the Two-Dimensional Ising Model: STP IsingDensityOfStates FIG. 1: Plot of the density of states generated by stp IsingDensityOfStates. I. INTRODUCTION The STP IsingDensityOfStates program computes the density of states of the two

Holzwarth, Natalie

142

SMART: A Stochastic Multiscale Model for the Analysis of Energy Resources, Technology and Policy  

E-Print Network (OSTI)

and demands) and market decisions (how much energy should be 1 #12;produced by each source, how muchSMART: A Stochastic Multiscale Model for the Analysis of Energy Resources, Technology and Policy and Financial Engineering, Princeton University, Princeton, NJ 08544, USA, {powell

Powell, Warren B.

143

Modelling Planning and Scheduling Problems with Time and Resources* ROMAN BARTK  

E-Print Network (OSTI)

Modelling Planning and Scheduling Problems with Time and Resources* ROMAN BARTÁK Department of sequencing operators to achieve some goal. In STRIPS- like planning, the operator is defined by pre-conditions and effects, i.e., the pre-conditions must be satisfied to use the operator, and the effects hold after using

Bartak, Roman

144

TR-IIS-06-003 A Scarce Resource Model for  

E-Print Network (OSTI)

.S. Shih, T.W. Kuo and J.W.S. Liu April 6, 2006 || Technical Report No. TR-IIS-06-003 http and J. W. S. Liu Abstract This report describes a resource model for medication scheduling. It is called with Department of Computer Science and Information Science, National Taiwan University, Taiwan. J. W. S. Liu

Chen, Sheng-Wei

145

GeM-REM: Generative Model-driven Resource efficient ECG Monitoring in Body Sensor Networks  

E-Print Network (OSTI)

GeM-REM: Generative Model-driven Resource efficient ECG Monitoring in Body Sensor Networks Sidharth electrocardiogram (ECG) monitoring. In such systems, sampling the ECG at clinically recommended rates (250 Hz, there is a need for reducing the energy consumption and data size at the sensor, while maintaining the ECG quality

Poovendran, Radha

146

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; Julián Echave; Nathalie Reuter

2012-10-01T23:59:59.000Z

147

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

148

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

149

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

150

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.

151

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

152

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...

153

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

154

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)

155

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;

156

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

157

Modeling the Global Water Resource System in an Integrated Assessment Modeling Framework: IGSM-WRS  

E-Print Network (OSTI)

The availability of water resources affects energy, agricultural and environmental systems, which are linked together as well as to climate via the water cycle. As such, watersheds and river basins are directly impacted ...

Strzepek, Kenneth M.

158

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

159

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

160

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

Note: This page contains sample records for the topic "resource datasets modeled" 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

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

162

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

163

EWEC 2006 Wind Energy Conference and Exhibition Turbine Wake Model for Wind Resource Software  

E-Print Network (OSTI)

EWEC 2006 Wind Energy Conference and Exhibition 1 Turbine Wake Model for Wind Resource Software Ole) AT: #12;EWEC 2006 Wind Energy Conference and Exhibition 2 21 2 0TT C U= (1) 0 0(1 )wU a U= - (2); 1.5 0.75 AR Aw0 U0 Uw0 T #12;EWEC 2006 Wind Energy Conference and Exhibition 3 ( )2 0 1 ( , ) 1

164

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

165

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

166

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

167

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

168

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 Perrière; Aedín C. Culhane; Desmond G. Higgins

2007-02-01T23:59:59.000Z

169

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

170

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.

171

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

172

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

173

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

174

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

175

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

176

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

177

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.

178

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

179

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

180

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

Note: This page contains sample records for the topic "resource datasets modeled" 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

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

182

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.

183

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

184

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

185

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

186

Improving the assessment of wave energy resources by means of coupled wave-ocean numerical modeling  

Science Journals Connector (OSTI)

Abstract Sea waves energy represents a renewable and sustainable energy resource, that nevertheless needs to be further investigated to make it more cost-effective and economically appealing. A key step in the process of Wave Energy Converters (WEC) deployment is the energy resource assessment at a sea site either measured or obtained through numerical model analysis. In these kind of studies, some approximations are often introduced, especially in the early stages of the process, viz. waves are assumed propagating in deep waters without underneath ocean currents. These aspects are discussed and evaluated in the Adriatic Sea and its northern part (Gulf of Venice) using locally observed and modeled wave data. In particular, to account for a “state of the art” treatment of the Wave–Current Interaction (WCI) we have implemented the Simulating \\{WAves\\} Nearshore (SWAN) model and the Regional Ocean Modeling System (ROMS), fully coupled within the Coupled Ocean Atmosphere Wave Sediment Transport (COAWST) system. COAWST has been applied to a computational grid covering the whole Adriatic Sea and off-line nested to a high-resolution grid in the Gulf of Venice. A 15-year long wave data set collected at the oceanographic tower “Acqua Alta”, located approximately 15 km off the Venice coast, has also been analyzed with the dual purpose of providing a reference to the model estimates and to locally assess the wave energy resource. By using COAWST, we have quantified for the first time to our best knowledge the importance of the WCI effect on wave power estimation. This can vary up to 30% neglecting the current effect. Results also suggest the Gulf of Venice as a suitable testing site for WECs, since it is characterized by periods of calm (optimal for safe installation and maintenance) alternating with severe storms, whose wave energy potentials are comparable to those ordinarily encountered in the energy production sites.

Francesco Barbariol; Alvise Benetazzo; Sandro Carniel; Mauro Sclavo

2013-01-01T23:59:59.000Z

187

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

188

Seeing about Soil -- Management Lessons from a Simple Model for Renewable Resources  

E-Print Network (OSTI)

Employing an effective cellular automata model, we investigate and analyze the build-up and erosion of soil. Depending on the strategy employed for handling agricultural production, in many cases we find a critical dependence on the prescribed production target, with a sharp transition between stable production and complete breakdown of the system. Strategies which are particularly well-suited for mimicking real-world management approaches can produce almost cyclic behaviour, which can also either lead to sustainable production or to breakdown. While designed to describe the dynamics of soil evolution, this model is quite general and may also be useful as a model for other renewable resources and may even be employed in other disciplines like psychology.

Lichtenegger, Klaus

2013-01-01T23:59:59.000Z

189

Modeling Resource, Infrastructure, and Policy Cost Layers for Optimizing Renewable Energy Investment and Deployment  

SciTech Connect

This paper presents a framework for creating a common spatial canvass that can bring together considerations of resource availability, infrastructure reliability, and development costs while strategizing renewable energy investment. We describe the underlying models and methodologies that annotate an investment plan for potential sites over a time-period with costs and constraints which may be imposed on distance from infrastructure, system impact on infrastructure, and policy incentives. The framework is intended as an enabler for visualization, optimization and decision making across diverse dimensions while searching for lucrative investment-plans.

Sukumar, Sreenivas R [ORNL] [ORNL; Olama, Mohammed M [ORNL] [ORNL; Shankar, Mallikarjun [ORNL] [ORNL; Hadley, Stanton W [ORNL] [ORNL; Nutaro, James J [ORNL] [ORNL; Protopopescu, Vladimir A [ORNL] [ORNL; Malinchik, Sergey [Lockheed Martin Corporation] [Lockheed Martin Corporation; Ives, Barry [Lockheed Martin Corporation] [Lockheed Martin Corporation

2010-01-01T23:59:59.000Z

190

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

191

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

192

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

193

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

194

Water resources: sustainable water supply management and basin wide modelling Internationally it has been recognized that the most important challenge to ensuring sustainable  

E-Print Network (OSTI)

Water resources: sustainable water supply management and basin wide modelling Internationally it has been recognized that the most important challenge to ensuring sustainable water use is implementing integrated water resources management (IWRM). It provides the best framework for balancing

Barthelat, Francois

195

D-Factor: A Quantitative Model of Application Slow-Down in Multi-Resource Shared Systems  

SciTech Connect

Scheduling multiple jobs onto a platform enhances system utilization by sharing resources. The benefits from higher resource utilization include reduced cost to construct, operate, and maintain a system, which often include energy consumption. Maximizing these benefits comes at a price - resource contention among jobs increases job completion time. In this paper, we analyze slow-downs of jobs due to contention for multiple resources in a system; referred to as dilation factor. We observe that multiple-resource contention creates non-linear dilation factors of jobs. From this observation, we establish a general quantitative model for dilation factors of jobs in multi-resource systems. A job is characterized by a vector-valued loading statistics and dilation factors of a job set are given by a quadratic function of their loading vectors. We demonstrate how to systematically characterize a job, maintain the data structure to calculate the dilation factor (loading matrix), and calculate the dilation factor of each job. We validate the accuracy of the model with multiple processes running on a native Linux server, virtualized servers, and with multiple MapReduce workloads co-scheduled in a cluster. Evaluation with measured data shows that the D-factor model has an error margin of less than 16%. We also show that the model can be integrated with an existing on-line scheduler to minimize the makespan of workloads.

Lim, Seung-Hwan [ORNL] [ORNL; Huh, Jae-Seok [ORNL] [ORNL; Kim, Youngjae [ORNL] [ORNL; Shipman, Galen M [ORNL] [ORNL; Das, Chita [Pennsylvania State University, University Park, PA] [Pennsylvania State University, University Park, PA

2012-01-01T23:59:59.000Z

196

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

197

Probing cosmic acceleration by using the SNLS3 SNIa dataset  

SciTech Connect

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

198

Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework  

DOE Data Explorer (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.

199

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

DOE Data Explorer (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.

200

Feedstock Production Datasets from the Bioenergy Knowledge Discovery Framework  

DOE Data Explorer (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.

Note: This page contains sample records for the topic "resource datasets modeled" 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

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

DOE Data Explorer (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

202

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

203

Framework for Interactive Parallel Dataset Analysis on the Grid  

SciTech Connect

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

204

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...

205

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...

206

Workshop on Hydrologic Modeling with SWAT and Groundwater Modeling with MODFLOW (26-27 December 2014) International Conference on Modeling Tools for Sustainable Water Resources Management (28-29 December 2014)  

E-Print Network (OSTI)

2014) International Conference on Modeling Tools for Sustainable Water Resources Management (28 for hydrologic data analysis, pre / post processing, and hydrologic modeling Water Resources Management Water application of SWAT model for water manage- ment Prof. Upmanu Lall Columbia University, USA Prof. A.K. Gosain

207

A Coupled Modeling System to Simulate Water Resources in the Rio Grande Basin  

SciTech Connect

Limited availability of fresh water in arid and semi-arid regions of the world requires prudent management strategies from accurate, science-based assessments. These assessments demand a thorough understanding of the hydrologic cycle over long time periods within the individual water-sheds that comprise large river basins. Measurement and simulation of the hydrologic cycle is a tremendous challenge, involving a coupling between global to regional-scale atmospheric precipitation processes with regional to local-scale land surface and subsurface water transport. Los Alamos National Laboratory is developing a detailed modeling system of the hydrologic cycle and applying this tool at high resolution to assess the water balance within the upper Rio Grande river basin. The Rio Grande is a prime example of a river system in a semiarid environment, with a high demand from agricultural, industrial, recreational, and municipal interests for its water supply. Within this river basin, groundwater supplies often augment surface water. With increasing growth projected throughout the river basin, however, these multiple water users have the potential to significantly deplete groundwater resources, thereby increasing the dependence on surface water resources.

Bossert, J.E.; Breshears, D.D.; Campbell, K.; Costigan, K.R.; Greene, R.K.; Keating, E.H.; Kleifgen, L.M.; Langley, D.L.; Martens, S.N.; Sanderson, J.G.; Springer, E.P.; Stalker, J.R.; Tartakovsky, D.M.; Winter, C.L.; Zyvoloski, G.A.

1999-01-11T23:59:59.000Z

208

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

209

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

210

Literacy effects on language and vision: Emergent effects from an amodal shared resource (ASR) computational model  

Science Journals Connector (OSTI)

Abstract Learning to read and write requires an individual to connect additional orthographic representations to pre-existing mappings between phonological and semantic representations of words. Past empirical results suggest that the process of learning to read and write (at least in alphabetic languages) elicits changes in the language processing system, by either increasing the cognitive efficiency of mapping between representations associated with a word, or by changing the granularity of phonological processing of spoken language, or through a combination of both. Behavioural effects of literacy have typically been assessed in offline explicit tasks that have addressed only phonological processing. However, a recent eye tracking study compared high and low literate participants on effects of phonology and semantics in processing measured implicitly using eye movements. High literates’ eye movements were more affected by phonological overlap in online speech than low literates, with only subtle differences observed in semantics. We determined whether these effects were due to cognitive efficiency and/or granularity of speech processing in a multimodal model of speech processing – the amodal shared resource model (ASR, Smith, Monaghan, & Huettig, 2013a,b). We found that cognitive efficiency in the model had only a marginal effect on semantic processing and did not affect performance for phonological processing, whereas fine-grained versus coarse-grained phonological representations in the model simulated the high/low literacy effects on phonological processing, suggesting that literacy has a focused effect in changing the grain-size of phonological mappings.

Alastair C. Smith; Padraic Monaghan; Falk Huettig

2014-01-01T23:59:59.000Z

211

On an improved sub-regional water resources management representation for integration into earth system models  

SciTech Connect

Human influence on the hydrologic cycle includes regulation and storage, consumptive use and overall redistribution of water resources in space and time. Representing these processes is essential for applications of earth system models in hydrologic and climate predictions, as well as impact studies at regional to global scales. Emerging large-scale research reservoir models use generic operating rules that are flexible for coupling with earth system models. Those generic operating rules have been successful in reproducing the overall regulated flow at large basin scales. This study investigates the uncertainties of the reservoir models from different implementations of the generic operating rules using the complex multi-objective Columbia River Regulation System in northwestern United States as an example to understand their effects on not only regulated flow but also reservoir storage and fraction of the demand that is met. Numerical experiments are designed to test new generic operating rules that combine storage and releases targets for multi-purpose reservoirs and to compare the use of reservoir usage priorities, withdrawals vs. consumptive demand, as well as natural vs. regulated mean flow for calibrating operating rules. Overall the best performing implementation is the use of the combined priorities (flood control storage targets and irrigation release targets) operating rules calibrated with mean annual natural flow and mean monthly withdrawals. The challenge of not accounting for groundwater withdrawals, or on the contrary, assuming that all remaining demand is met through groundwater extractions, is discussed.

Voisin, Nathalie; Li, Hongyi; Ward, Duane L.; Huang, Maoyi; Wigmosta, Mark S.; Leung, Lai-Yung R.

2013-09-30T23:59:59.000Z

212

ADAPTIVE MANAGEMENT AND PLANNING MODELS FOR CULTURAL RESOURCES IN OIL & GAS FIELDS IN NEW MEXICO AND WYOMING  

SciTech Connect

This report summarizes activities that have taken place in the last six (6) months (January 2005-June 2005) under the DOE-NETL cooperative agreement ''Adaptive Management and Planning Models for Cultural Resources in Oil and Gas Fields, New Mexico and Wyoming'' DE-FC26-02NT15445. This project examines the practices and results of cultural resource investigation and management in two different oil and gas producing areas of the United States: southeastern New Mexico and the Powder River Basin of Wyoming. The project evaluates how cultural resource investigations have been conducted in the past and considers how investigation and management could be pursued differently in the future. The study relies upon full database population for cultural resource inventories and resources and geomorphological studies. These are the basis for analysis of cultural resource occurrence, strategies for finding and evaluating cultural resources, and recommendations for future management practices. Activities can be summarized as occurring in either Wyoming or New Mexico. Gnomon as project lead, worked in both areas.

Peggy Robinson

2005-07-01T23:59:59.000Z

213

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

214

ADAPTIVE MANAGEMENT AND PLANNING MODELS FOR CULTURAL RESOURCES IN OIL & GAS FIELDS IN NEW MEXICO AND WYOMING  

SciTech Connect

This report contains a summary of activities of Gnomon, Inc. and five subcontractors that have taken place during the first six months of 2004 (January 1, 2004-June 30, 2004) under the DOE-NETL cooperative agreement: ''Adaptive Management and Planning Models for Cultural Resources in Oil & Gas Fields in New Mexico and Wyoming'', DE-FC26-02NT15445. Although Gnomon and all five subcontractors completed tasks during these six months, most of the technical experimental work was conducted by the subcontractor, SRI Foundation (SRIF). SRIF created a sensitivity model for the Azotea Mesa area of southeastern New Mexico that rates areas as having a very good chance, a good chance, or a very poor chance of containing cultural resource sites. SRIF suggested that the results of the sensitivity model might influence possible changes in cultural resource management (CRM) practices in the Azote Mesa area of southeastern New Mexico.

Peggy Robinson

2004-07-01T23:59:59.000Z

215

ADAPTIVE MANAGEMENT AND PLANNING MODELS FOR CULTURAL RESOURCES IN OIL & GAS FIELDS IN NEW MEXICO AND WYOMING  

SciTech Connect

This report contains a summary of activities of Gnomon, Inc. and five subcontractors that have taken place during the second six months (July 1, 2003-December 31, 2003) under the DOE-NETL cooperative agreement: ''Adaptive Management and Planning Models for Cultural Resources in Oil & Gas Fields in New Mexico and Wyoming'', DE-FC26-02NT15445. Although Gnomon and all five subcontractors completed tasks during these six months, most of the technical experimental work was conducted by the subcontractor, SRI Foundation (SRIF). SRIF created a sensitivity model for the Loco Hills area of southeastern New Mexico that rates areas as having a very good chance, a good chance, or a very poor chance of containing cultural resource sites. SRIF suggested that the results of the sensitivity model might influence possible changes in cultural resource management (CRM) practices in the Loco Hills area of southeastern New Mexico.

Peggy Robinson

2004-01-01T23:59:59.000Z

216

Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards  

E-Print Network (OSTI)

of resource benefits, we include the avoided cost ofenergy, avoided cost of generationcapacity, and avoided cost of transmission and distribution

Satchwell, Andrew

2013-01-01T23:59:59.000Z

217

Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards  

NLE Websites -- All DOE Office Websites (Extended Search)

399E 399E ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards Andrew Satchwell, Peter Cappers, and Charles Goldman Preprint version of paper for conference proceedings, ECEEE Summer Study, Giens, France, June 6-11, 2011 Environmental Energy Technologies Division March 2011 The work described in this report was funded by the U.S. Department of Energy's Office of Electricity Delivery and Energy Reliability (OE) - Permitting, Siting and Analysis Division under Contract No. DE-AC02-05CH11231. ii Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct

218

Simulator for unconventional gas resources multi-dimensional model SUGAR-MD. Volume I. Reservoir model analysis and validation  

SciTech Connect

The Department of Energy, Morgantown Energy Technology Center, has been supporting the development of flow models for Devonian shale gas reservoirs. The broad objectives of this modeling program are: (1) To develop and validate a mathematical model which describes gas flow through Devonian shales. (2) To determine the sensitive parameters that affect deliverability and recovery of gas from Devonian shales. (3) To recommend laboratory and field measurements for determination of those parameters critical to the productivity and timely recovery of gas from the Devonian shales. (4) To analyze pressure and rate transient data from observation and production gas wells to determine reservoir parameters and well performance. (5) To study and determine the overall performance of Devonian shale reservoirs in terms of well stimulation, well spacing, and resource recovery as a function of gross reservoir properties such as anisotropy, porosity and thickness variations, and boundary effects. The flow equations that are the mathematical basis of the two-dimensional model are presented. It is assumed that gas transport to producing wells in Devonian shale reservoirs occurs through a natural fracture system into which matrix blocks of contrasting physical properties deliver contained gas. That is, the matrix acts as a uniformly distributed gas source in a fracture medium. Gas desorption from pore walls is treated as a uniformly distributed source within the matrix blocks. 24 references.

Not Available

1982-01-01T23:59:59.000Z

219

Final Report: Phase II Nevada Water Resources Data, Modeling, and Visualization (DMV) Center  

SciTech Connect

Water is unquestionably a critical resource throughout the United States. In the semi-arid west -- an area stressed by increase in human population and sprawl of the built environment -- water is the most important limiting resource. Crucially, science must understand factors that affect availability and distribution of water. To sustain growing consumptive demand, science needs to translate understanding into reliable and robust predictions of availability under weather conditions that could be average but might be extreme. These predictions are needed to support current and long-term planning. Similar to the role of weather forecast and climate prediction, water prediction over short and long temporal scales can contribute to resource strategy, governmental policy and municipal infrastructure decisions, which are arguably tied to the natural variability and unnatural change to climate. Change in seasonal and annual temperature, precipitation, snowmelt, and runoff affect the distribution of water over large temporal and spatial scales, which impact the risk of flooding and the groundwater recharge. Anthropogenic influences and impacts increase the complexity and urgency of the challenge. The goal of this project has been to develop a decision support framework of data acquisition, digital modeling, and 3D visualization. This integrated framework consists of tools for compiling, discovering and projecting our understanding of processes that control the availability and distribution of water. The framework is intended to support the analysis of the complex interactions between processes that affect water supply, from controlled availability to either scarcity or deluge. The developed framework enables DRI to promote excellence in water resource management, particularly within the Lake Tahoe basin. In principle, this framework could be replicated for other watersheds throughout the United States. Phase II of this project builds upon the research conducted during Phase I, in which the hydrologic framework was investigated and the development initiated. Phase II concentrates on practical implementation of the earlier work but emphasizes applications to the hydrology of the Lake Tahoe basin. Phase 1 efforts have been refined and extended by creating a toolset for geographic information systems (GIS) that is usable for disparate types of geospatial and geo-referenced data. The toolset is intended to serve multiple users for a variety of applications. The web portal for internet access to hydrologic and remotely sensed product data, prototyped in Phase I, has been significantly enhanced. The portal provides high performance access to LANDSAT-derived data using techniques developed during the course of the project. The portal is interactive, and supports the geo-referenced display of hydrologic information derived from remotely sensed data, such as various vegetative indices used to calculate water consumption. The platform can serve both internal and external constituencies using inter-operating infrastructure that spans both sides of the DRI firewall. The platform is intended grow its supported data assets and to serve as a template for replication to other geographic areas. An unanticipated development during the project was the use of ArcGIS software on a new computer system, called the IBM PureSytems, and the parallel use of the systems for faster, more efficient image processing. Additional data, independent of the portal, was collected within the Sagehen basin and provides detailed information regarding the processes that control hydrologic responses within mountain watersheds. The newly collected data include elevation, evapotranspiration, energy balance and remotely sensed snow-pack data. A Lake Tahoe basin hydrologic model has been developed, in part to help predict the hydrologic impacts of climate change. The model couples both the surface and subsurface hydrology, with the two components having been independently calibrated. Results from the coupled simulations involving both surface water and groundwater processes

Jackman, Thomas [Desert Research Institute] [Desert Research Institute; Minor, Timothy [Desert Research Institute] [Desert Research Institute; Pohll, Gregory [Desert Research Institute] [Desert Research Institute

2013-07-22T23:59:59.000Z

220

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

Note: This page contains sample records for the topic "resource datasets modeled" 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

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

222

FTT:Power : A global model of the power sector with induced technological change and natural resource depletion  

E-Print Network (OSTI)

This work introduces a model of Future Technology Transformations for the power sector (FTT:Power), a representation of global power systems based on market competition, induced technological change (ITC) and natural resource use and depletion. It is the first component of a family of sectoral bottom-up models of technology, designed for integration into the global macroeconometric model E3MG. ITC occurs as a result of technological learning produced by cumulative investment and leads to highly nonlinear, irreversible and path dependent technological transitions. The model uses a dynamic coupled set of logistic differential equations. As opposed to traditional bottom-up energy models based on systems optimisation, such differential equations offer an appropriate treatment of the times and structure of change involved in sectoral technology transformations, as well as a much reduced computational load. Resource use and depletion are represented by local cost-supply curves, which give rise to different regional...

Mercure, J -F

2012-01-01T23:59:59.000Z

223

Identifying at-risk heritage resources with GIS: modelling the impact of recreational activities on the archaeological record  

Science Journals Connector (OSTI)

Archaeological predictive models were initially developed to determine the probability of encountering certain types of archaeological sites (e.g. masonry ruins or artifact scatters) on a given unit of land. Other than forecasting densities of archaeological site-types by vegetation zones, however, such studies rarely focused on management applications and, consequently, were nearly abandoned. To illustrate the role that GIS can have in assessing and managing modern threats to heritage resources, we explore the usefulness of a predictive model that determines the extent to which off-highway access points affect the likelihood that heritage resources will be impacted by camping, hunting or woodcutting. With high-intensity GPS-based survey data from the Upper Basin, northern Arizona, this study shows how the capabilities of GIS may be extended to assist heritage managers and researchers in their efforts to identify areas where archaeological resources should be protected from various kinds of recreational activities on public lands.

Patrick M. Uphus; Alan P. Sullivan III; Philip B. Mink II

2006-01-01T23:59:59.000Z

224

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

225

GIS-based energy-economic model of low temperature geothermal resources: A case study in the Italian Marche region  

Science Journals Connector (OSTI)

This paper presents a computational procedure designed to derive a regional model of the low temperature geothermal potential and its economic exploitability. The model was applied to the Italian Marche region and developed with the support of a Geographic Information System (GIS), which highlights the spatial dependencies in the distribution of geothermic resources. The Low Temperature Geothermal Energy has already gained attention as a renewable energy resource for domestic heating and represents a growing opportunity for investment. Although it is common practice to conduct an accurate evaluation of the geothermal potential and its exploitability on a site during the construction of a single installation, there is not an established practice or guidelines for estimating this resource over large territories. This information could support an institution’s ability to conduct regional energy planning and guide private entrepreneurship to meet new economic opportunities. To address these issues, the main contribution of this work is a model that reduces the distance between the physical knowledge of the territory/environment and economic analysis. The model is based on a useful assessment of low temperature geothermal potential obtained from physical parameters on a regional scale, from which a set of economic indicators are calculated to evaluate the actual economic accessibility to the geothermal energy resource.

Alberto Gemelli; Adriano Mancini; Sauro Longhi

2011-01-01T23:59:59.000Z

226

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

227

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

228

Resource Analysis  

Energy.gov (U.S. Department of Energy (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...

229

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

230

Agency datasets monthly list | Data.gov  

NLE Websites -- All DOE Office Websites (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

231

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.

232

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...

233

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

234

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

235

Modelling the impacts of projected future climate change on water resources in north-west England Hydrol. Earth Syst. Sci., 11(3), 11151126, 2007  

E-Print Network (OSTI)

Modelling the impacts of projected future climate change on water resources in north-west England of projected future climate change on water resources in north-west England H.J. Fowler1 , C.G. Kilsby1 and J (Fowler and Kilsby, 2002) and future projections from Global Climate Models (GCMs) suggest that winters

Paris-Sud XI, Université de

236

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

237

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 20021970’s SRTM Subtracted from...

Rowland, Danny

2009-11-18T23:59:59.000Z

238

Sampling Within k-Means Algorithm to Cluster Large Datasets  

SciTech Connect

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

239

Reclamation cost inputs for the resource allocation and mine costing model. Final working paper  

SciTech Connect

The purpose of this study is to improve estimates of surface mining reclamation cost components used as inputs to the Energy Information Administration's Resource Allocation and Mine Costing (RAMC) model. Costs ignored by the RAMC equations and input separately into the model on a regional basis were the focus of this study. Estimates of costs associated with the following reclamation activities were developed: valley fill construction, topsoil handling, runoff and diversion ditch construction and backfilling, sediment pond construction and backfilling, final pit backfilling and highwall reduction, revegetation, and permitting. For each activity, separate estimates were developed by cost component (initial capital, deferred capital, and annual operating), region (central Appalachia, northern Appalachia, the Midwest, and the West), and overburden ratio. For the first five activities, a ''composite mine'' approach was used. Basic engineering data on the quantity of material moved, and the distance over which it is moved, were obtained on a task-by-task basis for regional samples of actual mining operations. Mine permit applications filed with state and federal regulatory agencies were used as the source of these data. On the basis of the collected data, average material quantities and transportation distances were calculated for each region and reclamation task; these averages were used as the composite mine specifications assumed to be representative of the typical earthmoving requirements associated with each task in each region. Revegetation costs were estimated on the basis of published or publicly available data representing either the actual or estimated costs to state governments of revegetating abandoned mine sites. Permitting costs were developed on the basis of estimates of typical regional permitting costs solicited from engineering contractors providing permitting services to the coal industry. 11 tabs.

Not Available

1984-11-30T23:59:59.000Z

240

Wind resource assessment using numerical weather prediction models and multi-criteria decision making technique: case study (Masirah Island, Oman)  

Science Journals Connector (OSTI)

The Authority for Electricity Regulation in Oman has recently announced the implementation of a 500 kW wind farm pilot project in Masirah Island. Detailed wind resource assessment is then required to identify the most suitable location for this project. This paper presents wind resource assessment using nested ensemble numerical weather prediction (NWP) model's approach at 2.8 km resolution and multi-criteria decision making (MCDM) technique. A case study based on the proposed approach is conducted over Masirah Island, Oman. The resource assessment over the island was based on the mean wind speed and wind power distribution over the entire island at different heights. In addition, important criteria such as turbulence intensity and peak hour matching are also considered. The NWP model results were verified against the available 10 m wind data observations from the meteorological station in the northern part of the island. The resource assessment criteria were evaluated using MCDM technique to score the locations over the island based on their suitability for wind energy applications. Two MCDM approaches namely equally weighted and differently weighted criteria were implemented in this paper.

Sultan Al-Yahyai; Yassine Charabi; Abdullah Al-Badi; Adel Gastli

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "resource datasets modeled" 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

NREL: Renewable Resource Data Center - Wind Resource Information  

NLE Websites -- All DOE Office Websites (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.

242

Solar Resource Assessment  

SciTech Connect

This report covers the solar resource assessment aspects of the Renewable Systems Interconnection study. The status of solar resource assessment in the United States is described, and summaries of the availability of modeled data sets are provided.

Renne, D.; George, R.; Wilcox, S.; Stoffel, T.; Myers, D.; Heimiller, D.

2008-02-01T23:59:59.000Z

243

Energy Efficient Radio Resource  

E-Print Network (OSTI)

Energy Efficient Radio Resource Management in a Coordinated Multi-Cell Distributed Antenna System Omer HALILOGLU Introduction System Model Performance Evaluation Conclusion References Energy Efficient Hacettepe University 5 September 2014 Omer HALILOGLU (Hacettepe University) Energy Efficient Radio Resource

Yanikomeroglu, Halim

244

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

245

Research - Resources | Data.gov  

NLE Websites -- All DOE Office Websites (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

246

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

247

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.

248

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

249

DOE Hydrogen Analysis Repository: HyDRA: Hydrogen Demand and Resource  

NLE Websites -- All DOE Office Websites (Extended Search)

HyDRA: Hydrogen Demand and Resource Analysis Tool HyDRA: Hydrogen Demand and Resource Analysis Tool Project Summary Full Title: HyDRA: Hydrogen Demand and Resource Analysis Tool Project ID: 220 Principal Investigator: Johanna Levene Brief Description: HyDRA has evolved from a basic display of spatial data to a repository of over 100 datasets with dynamic data, querying, and interoperability with other models and spatial data repositories and over 350 registered users. Keywords: Hydrogen infrastructure; wind; solar; biomass; coal; natural gas Purpose Facilitate regional and geographical analyses of resources, demand, and infrastructure relevant to the implementation of hydrogen production, delivery, and dispensing. Performer Principal Investigator: Johanna Levene Organization: National Renewable Energy Laboratory (NREL)

250

DOE Launches New Dataset on its Environmental Reviews | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

251

DOE Launches New Dataset on its Environmental Reviews | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

252

Adaptive Management and Planning Models for Cultural Resources in Oil and Gas Fields in New Mexico and Wyoming  

SciTech Connect

In 2002, Gnomon, Inc., entered into a cooperative agreement with the U.S. Department of Energy (DOE) National Energy Technology Laboratory (NETL) for a project entitled, Adaptive Management and Planning Models for Cultural Resources in Oil and Gas Fields in New Mexico and Wyoming (DE-FC26-02NT15445). This project, funded through DOE’s Preferred Upstream Management Practices grant program, examined cultural resource management practices in two major oil- and gas-producing areas, southeastern New Mexico and the Powder River Basin of Wyoming (Figure 1). The purpose of this project was to examine how cultural resources have been investigated and managed and to identify more effective management practices. The project also was designed to build information technology and modeling tools to meet both current and future management needs. The goals of the project were described in the original proposal as follows: Goal 1. Create seamless information systems for the project areas. Goal 2. Examine what we have learned from archaeological work in the southeastern New Mexico oil fields and whether there are better ways to gain additional knowledge more rapidly or at a lower cost. Goal 3. Provide useful sensitivity models for planning, management, and as guidelines for field investigations. Goal 4. Integrate management, investigation, and decision- making in a real-time electronic system. Gnomon, Inc., in partnership with the Wyoming State Historic Preservation Office (WYSHPO) and Western GeoArch Research, carried out the Wyoming portion of the project. SRI Foundation, in partnership with the New Mexico Historic Preservation Division (NMHPD), Statistical Research, Inc., and Red Rock Geological Enterprises, completed the New Mexico component of the project. Both the New Mexico and Wyoming summaries concluded with recommendations how cultural resource management (CRM) processes might be modified based on the findings of this research.

Eckerle, William; Hall, Stephen

2005-12-30T23:59:59.000Z

253

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

254

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 CO2–water– basaltABSTRACT A thermodynamic dataset describing 36 mineral

Aradottir, E.S.P.

2013-01-01T23:59:59.000Z

255

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

NLE Websites -- All DOE Office Websites (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

256

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

257

Wind Resources By Class Per Country At 50m | OpenEI  

Open Energy Info (EERE)

42 42 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142279642 Varnish cache server Wind Resources By Class Per Country At 50m Dataset Summary Description These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (United States) as processed for use in the IMAGE model. The high resolution datasets were produced by the National Renewable Energy Laboratory (United States), Risø DTU National Laboratory (Denmark), the National Institute for Space Research (Brazil), and the Canadian Wind Energy Association. The data represents wind power class intervals 3 through 7 at 50 m height above ground. Wind class is derived from the capacity factor obtained from the 20% Wind Energy by 2030 Table B-10. The range was created from years 2005 and 2010.

258

NEW WEB-BASED ACCESS TO NUCLEAR STRUCTURE DATASETS.  

SciTech Connect

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

259

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

260

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

Note: This page contains sample records for the topic "resource datasets modeled" 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

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

262

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

263

Eastern Renewable Generation Integration Study Solar Dataset (Presentation)  

SciTech Connect

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

264

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

265

Marketing Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

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

266

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

267

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)

268

'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

269

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

270

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.

271

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.

272

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

E-Print Network (OSTI)

Exploring Constraints to EÃ?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

273

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

274

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

275

'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

276

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.

277

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

278

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

NLE Websites -- All DOE Office Websites (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

279

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.

280

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

Note: This page contains sample records for the topic "resource datasets modeled" 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

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

282

Graduate Opportunities in Earth Systems Modeling and Climate Impacts on Hydrology and Water Resources  

E-Print Network (OSTI)

Graduate Opportunities in Earth Systems Modeling and Climate Impacts on Hydrology and Water research assistantships available in the general area of earth systems modeling and climate impacts

283

Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management  

Science Journals Connector (OSTI)

The call for more effective integration of science and decision making is ubiquitous in environmental management. While scientists often complain that their input is ignored by decision makers, the latter have also expressed dissatisfaction that critical information for their decision making is often not readily available or accessible to them, or not presented in a usable form. It has been suggested that scientists need to produce more “usable” information with enhanced credibility, legitimacy, and saliency to ensure the adoption of research results. In basin-scale management of coupled human-water systems, water resources managers, like other decision makers, are frequently confronted with the need to make major decisions in the face of high system complexity and uncertainty. The integration of useful and relevant scientific information is necessary and critical to enable informed decision-making. This paper describes the main aspects of what has been learned in the process of supporting sustainable water resources planning and management in the semi-arid southwestern United States by means of integrated modeling. Our experience indicates that particular attention must be paid to the proper definition of focus questions, explicit conceptual modeling, a suitable modeling strategy, and a formal scenario analysis approach in order to facilitate the development of “usable” scientific information. We believe that these lessons and insights can be useful to other scientific efforts in the broader area of linking environmental science with decision making.

Yuqiong Liu; Hoshin Gupta; Everett Springer; Thorsten Wagener

2008-01-01T23:59:59.000Z

284

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

SciTech Connect

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

285

Model for Sustainable Urban Design With Expanded Sections on Distributed Energy Resources, February 2004  

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

Document describing a model design for urban development and redevelopment that will reduce urban energy consumption

286

Modeling-Computer Simulations At Akutan Fumaroles Area (Kolker, Et Al.,  

Open Energy Info (EERE)

Modeling-Computer Simulations At Akutan Fumaroles Area (Kolker, Et Al., Modeling-Computer Simulations At Akutan Fumaroles Area (Kolker, Et Al., 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Modeling-Computer Simulations At Akutan Fumaroles Area (Kolker, Et Al., 2010) Exploration Activity Details Location Akutan Fumaroles Area Exploration Technique Modeling-Computer Simulations Activity Date Usefulness useful DOE-funding Unknown Notes "Conceptual Model: Based on conceptual models built primarily from MT and geochemical datasets, it appears that development of the Akutan geothermal resource for power and/or direct use may be feasible. These datasets point to a shallow, tabular aquifer(s) of 155-180degrees C (i.e., "outflow zone") and a deeper, hotter resource of >220degrees C (i.e., "upflow zone") that

287

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).

288

A probabilistic model of nuclear import of proteins  

Science Journals Connector (OSTI)

......Accuracy of predicting nuclear import for independent datasets (Hawkins et al...import. We use a nuclear localization signal dataset extracted from...mouse and yeast nuclear proteomes. We establish on a smaller dataset that the model......

Ahmed M. Mehdi; Muhammad Shoaib B. Sehgal; Bostjan Kobe; Timothy L. Bailey; Mikael Bodén

2011-05-01T23:59:59.000Z

289

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

290

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

291

ADAPTIVE MANAGEMENT AND PLANNING MODELS FOR CULTURAL RESOURCES IN OIL AND GAS IN NEW MEXICO AND WYOMING  

SciTech Connect

This report contains a summary of activities of Gnomon, Inc. and five sub-contractors that have taken place during the first six months (January 1, 2003--June 30, 2003) under the DOE-NETL cooperative agreement: ''Adaptive Management and Planning Models for Cultural Resources in Oil & Gas Fields in New Mexico and Wyoming'', DE-FC26-02NT15445. Gnomon, Inc. and all five (5) subcontractors have agreed on a process for the framework of this two-year project. They have also started gathering geomorphological information and entering cultural resource data into databases that will be used to create models later in the project. This data is being gathered in both the Power River Basin of Wyoming, and the Southeastern region of New Mexico. Several meetings were held with key players in this project to explain the purpose of the research, to obtain feedback and to gain support. All activities have been accomplished on time and within budget with no major setbacks.

Peggy Robinson

2003-07-25T23:59:59.000Z

292

Reliability Modeling and Simulation of Composite Power Systems with Renewable Energy Resources and Storage  

E-Print Network (OSTI)

This research proposes an efficient reliability modeling and simulation methodology in power systems to include photovoltaic units, wind farms and storage. Energy losses by wake effect in a wind farm are incorporated. Using the wake model, wind...

Kim, Hagkwen

2013-05-24T23:59:59.000Z

293

Teacher Resource Center: Curricular Resources  

NLE Websites -- All DOE Office Websites (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

294

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

295

Coupling of ecological and water quality models for improved water resource and fish management  

E-Print Network (OSTI)

values of primary producers and other groups to predict fish biomass. Linking the two models will provide the means of going up the food chain by trophic levels. The Chesapeake Bay was chosen as the study site since both models are in use there. Before...

Tillman, Dorothy Hamlin

2009-05-15T23:59:59.000Z

296

Constructing Collaborative Desktop Storage Caches for Large Scientific Datasets  

SciTech Connect

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

297

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

298

A Unifying Platform for Water Resources Management Using Physically-Based Model and Remote Sensing Data  

E-Print Network (OSTI)

In recent years, physically-based hydrological models provided a robust approach to better understand the cause-effect relationships of effective hydraulic properties in soil hydrology. These have increased the flexibility of studying the behavior...

Shin, Yongchul

2012-12-07T23:59:59.000Z

299

A general model of resource production and exchange in systems of interdependent specialists.  

SciTech Connect

Infrastructures are networks of dynamically interacting systems designed for the flow of information, energy, and materials. Under certain circumstances, disturbances from a targeted attack or natural disasters can cause cascading failures within and between infrastructures that result in significant service losses and long recovery times. Reliable interdependency models that can capture such multi-network cascading do not exist. The research reported here has extended Sandia's infrastructure modeling capabilities by: (1) addressing interdependencies among networks, (2) incorporating adaptive behavioral models into the network models, and (3) providing mechanisms for evaluating vulnerability to targeted attack and unforeseen disruptions. We have applied these capabilities to evaluate the robustness of various systems, and to identify factors that control the scale and duration of disruption. This capability lays the foundation for developing advanced system security solutions that encompass both external shocks and internal dynamics.

Conrad, Stephen Hamilton; Finley, Patrick D.; Beyeler, Walter Eugene; Brown, Theresa Jean; Glass, Robert John, Jr.; Breen, Peter; Kuypers, Marshall; Norton, Matthew David; Quach, Tu-Thach; Antognoli, Matthew; Mitchell, Michael David

2011-11-01T23:59:59.000Z

300

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

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

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

Note: This page contains sample records for the topic "resource datasets modeled" 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

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

302

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.

303

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

304

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

305

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

306

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

307

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

308

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.

309

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

310

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.

311

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

312

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.

313

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

314

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

315

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

316

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

317

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

318

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

319

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

320

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

Note: This page contains sample records for the topic "resource datasets modeled" 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

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

322

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

323

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

324

Towards optimal allocation of computer resources: Trade-offs between uncertainty quantification, discretization and model reduction  

Science Journals Connector (OSTI)

The computational complexity of numerical models can be broken down into contributions ranging from spatial, temporal and stochastic resolution, e.g., spatial grid resolution, time step size and number of repeated simulations dedicated to quantify uncertainty. ... Keywords: Computational costs, Optimal design, Stochastic hydrology, Uncertainty quantification

Philipp C. Leube; Felipe P. J. De Barros; Wolfgang Nowak; Ram Rajagopal

2013-12-01T23:59:59.000Z

325

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...

326

One-way coupling of an integrated assessment model and a water resources model: evaluation and implications of future changes over the US Midwest  

SciTech Connect

An integrated model is being developed to advance our understanding of the interactions between human activities, terrestrial system and water cycle, and how system interactions will be affected by a changing climate at the regional scale. As a first step towards that goal, a global integrated assessment model including a waterdemand model is coupled offline with a land surface hydrology – routing – water resources management model. A spatial and temporal disaggregation approach is developed to project the annual regional water demand simulations into a daily time step and subbasin representation. The model demonstrated reasonable ability to represent the historical flow regulation and water supply over the Midwest (Missouri, Upper Mississippi and Ohio). Implications for the future flow regulation, water supply and supply deficit are investigated using a climate change projection with the B1 emission scenario which affects both natural flow and water demand. Over the Midwest, changes in flow regulation are mostly driven by the change in natural flow due to the limited storage capacity over the Ohio and Upper Mississippi river basins. The changes in flow and demand have a combined effect on the Missouri Summer regulated flow. The supply deficit tends to be driven by the change in flow over the region. Spatial analysis demonstrates the relationship between the supply deficit and the change in demand over urban areas not along a main river or with limited storage, and over areas upstream of groundwater dependent fields with therefore overestimated demand.

Voisin, Nathalie; Liu, Lu; Hejazi, Mohamad I.; Tesfa, Teklu K.; Li, Hongyi; Huang, Maoyi; Liu, Ying; Leung, Lai-Yung R.

2013-11-18T23:59:59.000Z

327

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from Solar Advisor Model) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot

328

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot References: SAM[1] System Advisor Model [2]

329

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from System Advisor Model) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot

330

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

331

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

332

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

333

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

334

MATCH: Metadata Access Tool for Climate and Health Datasets  

DOE Data Explorer (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

335

Assessing Passive and Active Solar Energy Resources in Cities Using 3D City Models  

Science Journals Connector (OSTI)

Abstract Many cities today are committed to increasing the energy efficiency of buildings and the fraction of renewables. However, quantitative data on urban energy performance are rarely available during the design stage of new towns or for rehabilitation scenarios of existing cities. Three dimensional city models based on the spatio-semantic data format CityGML offer powerful new methods for the quantitative evaluation of urban energy demand and costs, and simultaneously allow the simulation of renewable energy systems. Such a ‘semantically enriched’ models was used in this work for energy demand diagnostics, refurbishment forecast and renewable supply scenarios. A case study was done using this method in an existing urban quarter in Ludwigsburg/Germany. Based on its three dimensional representation, the photovoltaic potential has been calculated and compared with the electricity demand to establish the photovoltaic fraction. On the thermal side, the passive solar gains were simulated for each building in the city quarter to analyse the solar contribution for heating demand reduction. The simulations were validated with measured gas consumptions. Some rehabilitation scenarios have also been simulated. In such a moderately dense post-war district, the calculated energy savings potential reach in total 65%, equally distributed between heat savings following building envelope refurbishment, and electricity savings due to the installation of PV on the roofs.

Ursula Eicker; Romain Nouvel; Eric Duminil; Volker Coors

2014-01-01T23:59:59.000Z

336

Slow Roll Reconstruction: Constraints on Inflation from the 3 Year WMAP Dataset  

E-Print Network (OSTI)

We study the constraints on the inflationary parameter space derived from the 3 year WMAP dataset using ``slow roll reconstruction'', using the SDSS galaxy power spectrum to gain further leverage where appropriate. This approach inserts the inflationary slow roll parameters directly into a Monte Carlo Markov chain estimate of the cosmological parameters, and uses the inflationary flow hierarchy to compute the parameters' scale-dependence. We work with the first three parameters (epsilon, eta and xi) and pay close attention to the possibility that the 3 year WMAP dataset contains evidence for a ``running'' spectral index, which is dominated by the xi term. Mirroring the WMAP team's analysis we find that the permitted distribution of xi is broad, and centered away from zero. However, when we require that inflationary parameters yield at least 30 additional e-folds of inflation after the largest observable scales leave the horizon, the bounds on xi tighten dramatically. We make use of the absence of an explicit pivot scale in the slow roll reconstruction formalism to determine the dependence of the computed parameter distributions on the pivot. We show that the choice of pivot has a significant effect on the inferred constraints on the inflationary variables, and the spectral index and running derived from them. Finally, we argue that the next round of cosmological data can be expected to place very stringent constraints on the region of parameter space open to single field models of slow roll inflation.

Hiranya Peiris; Richard Easther

2006-10-12T23:59:59.000Z

337

WATER RESOURCES RESEARCH, VOL. 29, NO. 11, PAGES 3727-3740, NOVEMBER 1993 Modeling of Multiphase Transport of Multicomponent Organic Contaminants  

E-Print Network (OSTI)

WATER RESOURCES RESEARCH, VOL. 29, NO. 11, PAGES 3727-3740, NOVEMBER 1993 Modeling of Multiphase. Although these organic liquids are designatedas "nonaque- ous," i.e., immiscible with water, their solubilities in water are, in fact, sufficientto render large quantities of ground- water unfit for human use

Patzek, Tadeusz W.

338

Resources & Links  

NLE Websites -- All DOE Office Websites (Extended Search)

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

339

Final report for %22High performance computing for advanced national electric power grid modeling and integration of solar generation resources%22, LDRD Project No. 149016.  

SciTech Connect

Design and operation of the electric power grid (EPG) relies heavily on computational models. High-fidelity, full-order models are used to study transient phenomena on only a small part of the network. Reduced-order dynamic and power flow models are used when analysis involving thousands of nodes are required due to the computational demands when simulating large numbers of nodes. The level of complexity of the future EPG will dramatically increase due to large-scale deployment of variable renewable generation, active load and distributed generation resources, adaptive protection and control systems, and price-responsive demand. High-fidelity modeling of this future grid will require significant advances in coupled, multi-scale tools and their use on high performance computing (HPC) platforms. This LDRD report demonstrates SNL's capability to apply HPC resources to these 3 tasks: (1) High-fidelity, large-scale modeling of power system dynamics; (2) Statistical assessment of grid security via Monte-Carlo simulations of cyber attacks; and (3) Development of models to predict variability of solar resources at locations where little or no ground-based measurements are available.

Reno, Matthew J.; Riehm, Andrew Charles; Hoekstra, Robert John; Munoz-Ramirez, Karina; Stamp, Jason Edwin; Phillips, Laurence R.; Adams, Brian M.; Russo, Thomas V.; Oldfield, Ron A.; McLendon, William Clarence, III; Nelson, Jeffrey Scott; Hansen, Clifford W.; Richardson, Bryan T.; Stein, Joshua S.; Schoenwald, David Alan; Wolfenbarger, Paul R.

2011-02-01T23:59:59.000Z

340

Energy Efficiency Resource Standards Resources  

Energy.gov (U.S. Department of Energy (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 datasets modeled" 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

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from SAM) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot References: SAM[1]

342

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

343

Workplan and Annex: Solar Resource Knowledge Management  

SciTech Connect

''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

344

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

345

NREL GIS Data: Alaska Low Resolution Concentrating Solar Power Resource |  

Open Energy Info (EERE)

Alaska Low Resolution Concentrating Solar Power Resource Alaska Low Resolution Concentrating Solar Power Resource Dataset Summary Description Abstract: Monthly and annual average solar resource potential for Alaska. Purpose: Provide information on the solar resource potential for Alaska. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Supplemental_Information: This data provides monthly average and annual average daily total solar resource averaged over surface cells of approximatley 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation (CSR) Model. The CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific information about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses information on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. The cloud cover data used as input to the CSR model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately 40km x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained from the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis (RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain. Units are in watt hours.

346

NREL GIS Data: Hawaii Low Resolution Concentrating Solar Power Resource |  

Open Energy Info (EERE)

Low Resolution Concentrating Solar Power Resource Low Resolution Concentrating Solar Power Resource Dataset Summary Description Abstract: Monthly and annual average solar resource potential for Hawaii. Purpose: Provide information on the solar resource potential for Hawaii. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Supplemental_Information: This data provides monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation (CSR) Model. The CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific information about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses information on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. The cloud cover data used as input to the CSR model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately 40km x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained from the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis (RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

347

Determination of Ice Water Path Over the ARM SGP Using Combined Surface and Satellite Datasets  

NLE Websites -- All DOE Office Websites (Extended Search)

Determination of Ice Water Path Over the ARM SGP Using Determination of Ice Water Path Over the ARM SGP Using Combined Surface and Satellite Datasets J. Huang, M. M. Khaiyer, and P. W. Heck Analytical Services & Materials, Inc. Hampton, Virginia P. Minnis and B. Lin Atmospheric Sciences National Aeronautics and Space Administration Langley Research Center Hampton, Virginia T.-F. Fan Science Applications International Corporation Hampton, Virginia Introduction Global information of cloud ice water path (IWP) is urgently needed for testing of global climate models (GCMs) and other applications. Accurate quantification of the IWP is essential for characterizing the hydrological and radiation budget. For example, the reflection of shortwave radiation by ice clouds reduces the solar energy reaching the earth's surface. Ice clouds can also trap the longwave radiation

348

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

349

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

350

Energy Modeling Community Resources  

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

Performers:-- National Renewable Energy Lab – Golden, CO-- International Building Performance Simulation Association (IBPSA)-USA – San Francisco, CA-- Rocky Mountain Institute – Boulder, CO-- Big Ladder Software – Denver, CO

351

Additional Resources  

Energy.gov (U.S. Department of Energy (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...

352

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

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

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

353

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.

354

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

355

Mobile Resources  

NLE Websites -- All DOE Office Websites (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.

356

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

357

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.

358

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

359

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

360

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.

Note: This page contains sample records for the topic "resource datasets modeled" 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

WEIGHTED NEIGHBORHOOD CLASSIFIER FOR THE CLASSIFICATION OF IMBALANCED TUMOR DATASET  

E-Print Network (OSTI)

neighborhood classi¯er; Kruskal-Wallis rank sum test; neighborhood rough set model. *Corresponding author

Hefei Institute of Intelligent Machines

362

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

363

Online Resources  

NLE Websites -- All DOE Office Websites (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)

364

Pathway and Resource Overview  

NLE Websites -- All DOE Office Websites (Extended Search)

Pathway and Resource Overview Pathway and Resource Overview Delivering Renewable Hydrogen Workshop - A Focus on Near-Term Applications Mark F. Ruth November 16, 2009 Palm Springs, CA NREL/PR-6A1-47108 National Renewable Energy Laboratory Innovation for Our Energy Future Definition and Presentation Outline Hydrogen pathway analysis is analysis of the total levelized cost (including return on investment), well-to- wheels (WTW) energy use, and WTW emissions for hydrogen production, delivery, and distribution pathways. This presentation focuses on * Pathway analyses using the Macro-System Model (MSM) * Resource and pathway analysis using the Hydrogen Demand and Resource Analysis Tool (HyDRA) * Status of water-electrolysis technology

365

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)

366

California Household Transportation Survey - Datasets - OpenEI...  

Open Energy Info (EERE)

work schedules and flexibility, use of toll lanes priced facilities, and walk and bicycle trips-to support advanced model development. GPS Data Logger On-Board Diagnostic...

367

Center Resources  

NLE Websites -- All DOE Office Websites (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

368

A model-based assessment of the effects of projected climate change on the water resources of Jordan  

Science Journals Connector (OSTI)

...National Centre for Atmospheric Science-Climate...11511, Egypt 4 Water Resource Associates...and a weather generator to determine...Negev, where water scarcity is a...projection of water demand. These...2006). Higher atmospheric CO2 may also...for the weather generator; the structure...

2010-01-01T23:59:59.000Z

369

NREL: Renewable Resource Data Center - SMARTS  

NLE Websites -- All DOE Office Websites (Extended Search)

SMARTS - Simple Model of the Atmospheric Radiative Transfer of Sunshine Renewable Resource Data Center The Simple Model of the Atmospheric Radiative Transfer of Sunshine, or...

370

Interactive Visualization of Exceptionally Complex Industrial CAD Datasets Andreas Dietrich  

E-Print Network (OSTI)

with a software ray tracing approach. We demonstrate this using a "Boeing 777" model containing 350 million Introduction The "Boeing 777" has been Boeing's first aircraft to be completely designed using a CAD framework in the "Boeing 777" airplane model. 2 System Architecture For our experiments we used a single dual-processor AMD

Wald, Ingo

371

Tools & Resources: Resource Directory  

NLE Websites -- All DOE Office Websites (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

372

Brazilian Atlas for Solar Energy Resource: Swera Results  

Science Journals Connector (OSTI)

The solar energy assessment in SWERA project was prepared by using BRASIL-SR radiative transfer model and satellite database acquired from 1995 till 2005 — a full decade dataset. The annual and seasonal maps p...

Fernando Ramos Martins; Enio Bueno Pereira…

2009-01-01T23:59:59.000Z

373

OSIRIS and the Collaborative Modeling Initiative on REDD Economics | Open  

Open Energy Info (EERE)

OSIRIS and the Collaborative Modeling Initiative on REDD Economics OSIRIS and the Collaborative Modeling Initiative on REDD Economics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: OSIRIS and the Collaborative Modeling Initiative on REDD Economics Agency/Company /Organization: Conservation International Sector: Climate, Land Focus Area: Forestry Topics: GHG inventory, Resource assessment Resource Type: Dataset, Software/modeling tools User Interface: Spreadsheet Website: www.conservation.org/osiris/Pages/overview.aspx RelatedTo: Open Source Impacts of REDD Incentives Spreadsheet (OSIRIS) Cost: Free Language: English OSIRIS and the Collaborative Modeling Initiative on REDD Economics Screenshot References: OSIRIS[1] The Open Source Impacts of REDD+ Incentives Spreadsheet (OSIRIS) is a suite of free, transparent, open-source, spreadsheet-based decision support tools

374

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

375

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

376

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 (1950–2006) 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

377

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

378

Arkansas Water Resources Center Annual Technical Report  

E-Print Network (OSTI)

) in cooperation with the US Geological Survey and the National Institutes for Water Resources has focused wastewater disposal systems, ground water modeling and land use mapping, water resource economics, water

379

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

380

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

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

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

Note: This page contains sample records for the topic "resource datasets modeled" 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

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

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

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

382

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

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

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

383

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

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

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

384

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

385

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

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

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

386

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

SciTech Connect

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

387

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; Clément Pontoizeau; Elise Billoir; Benjamin J. Blaise

2013-05-15T23:59:59.000Z

388

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

389

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

390

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

391

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

392

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

393

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.

394

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

395

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

396

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

397

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

398

A Detailed Approach To Low-Grade Geothermal Resources In The Appalachian Basin Of New York And Pennsylvania: Heterogeneities Within The Geologic Model And Their Effect On Geothermal Resource Assessment .  

E-Print Network (OSTI)

??The potential to utilize widespread low -grade geothermal resources of the Northeastern U.S. for thermal direct use and combined heat and power applications can be… (more)

Shope, Elaina

2012-01-01T23:59:59.000Z

399

Hammond et al., Geothermal Resources Council Transactions, Vol. 31, 2007 Exploring the Relationship between Geothermal Resources and  

E-Print Network (OSTI)

Laboratory University of Nevada, Reno Keywords: geothermal, energy resources, Great Basin, GPS, geodesy in future models. Introduction Geothermal energy resources have long been associated with the presenceHammond et al., Geothermal Resources Council Transactions, Vol. 31, 2007 - 1 - Exploring

Tingley, Joseph V.

400

Teacher Resource Center: Fermilab Web Resources  

NLE Websites -- All DOE Office Websites (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

Note: This page contains sample records for the topic "resource datasets modeled" 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

Image Resources  

NLE Websites -- All DOE Office Websites (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

402

Teacher Resources  

NLE Websites -- All DOE Office Websites (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.

403

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

404

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

405

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.

406

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.

407

Managing renewable resources via Collective Intelligence  

E-Print Network (OSTI)

Managing renewable resources via Collective Intelligence Brede, M., F. Boschetti, and D. Mc.Brede,Fabio.Boschetti,David.Mcdonald]@csiro.au Keywords: ABM, Game Theory, Resource Exploitation, Optimisation. EXTENDED ABSTRACT In a recent set of work, 2001; Wolpert et al, 2004) into resource management modelling. These tools were designed to minimise

Boschetti, Fabio

408

Activity Stream - Brazil Direct Normal Solar Radiation Model...  

Open Energy Info (EERE)

Dataset Activity Stream Activity Stream Jay Huggins updated the dataset Brazil Direct Normal Solar Radiation Model (10km) from INPE and LABSOLAR 6 days ago Jay Huggins added the...

409

model | OpenEI  

Open Energy Info (EERE)

model model Dataset Summary Description NREL's Research and Support Facility (RSF) energy model for 2011. Source NREL Date Released February 07th, 2013 (10 months ago) Date Updated Unknown Keywords 2011 energy model NREL RSF Data text/csv icon rsf_energy_model_2011.csv (csv, 772 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License 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

410

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

411

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

NLE Websites -- All DOE Office Websites (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

412

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

413

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

414

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

415

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]]

416

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

417

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

418

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

419

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

420

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 datasets modeled" 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

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

422

Resource Center | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

Site Map Printable Version Development Adoption Compliance Regulations Resource Center FAQs Publications Resource Guides eLearning Model Policies Glossary Related Links ACE Learning Series Utility Savings Estimators Resource Center The U.S. Department of Energy (DOE), through the Building Energy Codes Program (BECP) Resource Center, provides a comprehensive collection of information, resources, and technical assistance designed to answer questions and address issues related to energy codes. This includes frequently asked questions, publications, model adoption policies, compliance software and tools, and training/eLearning modules based on best practices. BECP's team of building energy codes experts is also available to answer specific questions submitted through the web-based help desk.

423

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

424

A new comprehensive model to simulate the restructured power market for seasonal price signals by considering on the wind resources  

Science Journals Connector (OSTI)

Generation expansion planning requires simulating the medium term power market. This can be done based on electricity price signals in the power market. The market clearing price is one of the most important factors to determine the incremental rate of private investor's profit. When calculating this parameter the planners encounter greater uncertainties in a restructured power market than in a centralized market. This can be critical when renewable energies participate in this type of electricity market. In this study the scenario based method is used to model a wind power plant in the restructured power market. The hourly output of the wind turbine generators is simulated based on a hybrid Auto Regressive and Moving Average-Monte Carlo method. Each scenario of the wind power plant as well as its occurrence probability is determined based on a data mining technique. Then a new comprehensive model for the restructured power market is proposed to maximize the profit of investors as well as to determine the market clearing price by considering stochastic and rational uncertainties. The stochastic uncertainties include the demand and fuel price that are modelled by using the Monte-Carlo method. The Nash equilibrium in the rational uncertainty as a strategic behaviour of players in the power market is determined by using the Cournot game. The effect of the CO2 tax rate and the bilateral contract are investigated in this study. Finally the model is implemented in a test power market. According to the findings this model can be used as a robust and comprehensive model to determine the market clearing price which can be applied for capacity expansion planning.

2014-01-01T23:59:59.000Z

425

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

426

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.

427

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

SciTech Connect

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

428

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

429

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

430

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

Science Journals Connector (OSTI)

We analyzed 12 combined mitochondrial and nuclear gene datasets in seven orders of insects using both equal weights parsimony (to evaluate phylogenetic utility) and Bayesian methods (to investigate substitution patterns). For the Bayesian analyses we used relatively complex models (e.g., general time reversible models with rate variation) that allowed us to quantitatively compare relative rates among genes and codon positions, patterns of rate variation among genes, and substitution patterns within genes. Our analyses indicate that nuclear and mitochondrial genes differ in a number of important ways, some of which are correlated with phylogenetic utility. First and most obviously, nuclear genes generally evolve more slowly than mitochondrial genes (except in one case), making them better markers for deep divergences. Second, nuclear genes showed universally high values of CI and (generally) contribute more to overall tree resolution than mitochondrial genes (as measured by partitioned Bremer support). Third, nuclear genes show more homogeneous patterns of among-site rate variation (higher values of ? than mitochondrial genes). Finally, nuclear genes show more symmetrical transformation rate matrices than mitochondrial genes. The combination of low values of ? and highly asymmetrical transformation rate matrices may explain the overall poor performance of mitochondrial genes when compared to nuclear genes in the same analysis. Our analyses indicate that some parameters are highly correlated. For example, A/T bias was positively and significantly associated with relative rate and CI was positively and significantly associated with ? (the shape of the gamma distribution). These results provide important insights into the substitution patterns that might characterized high quality genes for phylogenetic analysis: high values of ?, unbiased base composition, and symmetrical transformation rate matrices. We argue that insect molecular systematists should increasingly focus on nuclear rather than mitochondrial gene datasets because nuclear genes do not suffer from the same substitutional biases that characterize mitochondrial genes.

Chung-Ping Lin; Bryan N Danforth

2004-01-01T23:59:59.000Z

431

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

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

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

432

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

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

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

433

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

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

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

434

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

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

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

435

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

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

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

436

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

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

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

437

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?

438

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?

439

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?

440

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?

Note: This page contains sample records for the topic "resource datasets modeled" 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

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?

442

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?

443

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?

444

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?

445

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?

446

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?

447

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?

448

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?

449

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?

450

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?

451

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?

452

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?

453

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?

454

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

455

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.

456

Clean Energy Manufacturing Resources - Technology Prototyping | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Guide Home » Clean Energy Manufacturing Resources - Technology Guide Home » Clean Energy Manufacturing Resources - Technology Prototyping Clean Energy Manufacturing Resources - Technology Prototyping Clean Energy Manufacturing Resources - Technology Prototyping Find resources to help you design and refine a prototype of a new clean energy technology or product. For prototyping, areas to consider include materials characterization; models and tools; intellectual property protection; small-scale production; R&D funding; and regional, state, and local resources. For more resources, see the Clean Energy Manufacturing Federal Resource Guide. Characterize Materials Shared Research Equipment User Facility - a facility at Oak Ridge National Laboratory that provides access to advanced instruments and scientists for the scale characterization of materials.

457

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...

458

Sandia National Laboratories: Solar Energy Forecasting and Resource...  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems Analysis The book, Solar Energy Forecasting and Resource...

459

GeoModel | OpenEI  

Open Energy Info (EERE)

GeoModel GeoModel Dataset Summary Description Developed by NREL and the U.S. Trade and Development Agency, this geographic toolkit that allows users to relate the renewable energy resource (solar and wind) data to other geographic data, such as land use, protected areas, elevation, etc. The GsT was completely redesigned and re-released in November 2010 to provide a more modern, easier-to-use interface with considerably faster analytical querying capabilities. The revised version of the Geospatial Toolkit for Turkey is available using the following link: http://www.nrel.gov/international/downloads/gst_turkey.exe Source GeoModel Date Released March 31st, 2009 (5 years ago) Date Updated July 06th, 2012 (2 years ago) Keywords DNI GeoModel GHI GIS GsT NREL solar SWERA

460

Geothermal Resources Council's 36  

Office of Scientific and Technical Information (OSTI)

Geothermal Resources Council's 36 Geothermal Resources Council's 36 th Annual Meeting Reno, Nevada, USA September 30 - October 3, 2012 Advanced Electric Submersible Pump Design Tool for Geothermal Applications Xuele Qi, Norman Turnquist, Farshad Ghasripoor GE Global Research, 1 Research Circle, Niskayuna, NY, 12309 Tel: 518-387-4748, Email: qixuele@ge.com Abstract Electrical Submersible Pumps (ESPs) present higher efficiency, larger production rate, and can be operated in deeper wells than the other geothermal artificial lifting systems. Enhanced Geothermal Systems (EGS) applications recommend lifting 300°C geothermal water at 80kg/s flow rate in a maximum 10-5/8" diameter wellbore to improve the cost-effectiveness. In this paper, an advanced ESP design tool comprising a 1D theoretical model and a 3D CFD analysis

Note: This page contains sample records for the topic "resource datasets modeled" 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

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)

462

Building Technologies Office: Resources  

NLE Websites -- All DOE Office Websites (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

463

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

464

Leadership Development Resource Center | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Leadership Development Resource Center Leadership Development Resource Center Leadership Development Resource Center The Office of Learning and Workforce Development believes that effective leadership is central to organizational success and has implemented the Leadership Development Resource Center. This will provide current and emerging leaders with the tools and information to help them build their leadership capacity. The LDRC is a means of coordinating resources and program efforts in order to meet DOE's mission by progressing in all phases of leadership development. DOE Leadership Philosophy Several themes describe the state of leadership development today: A growing recognition that leadership development, regardless of the theory or model that an organization adopts, involves more than just

465

Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards Environmental Energy Technologies Division March 2011  

E-Print Network (OSTI)

of resource benefits, we include the avoided cost ofenergy, avoided cost of generationcapacity, and avoided cost of T&D capacity and exclude non-

Satchwell, Andrew

2011-01-01T23:59:59.000Z

466

NREL: Renewable Resource Data Center - Biomass Resource Data  

NLE Websites -- All DOE Office Websites (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...

467

Center for Electric & Hydrogen Technologies & Systems Resource Integration Group  

E-Print Network (OSTI)

,Analysis,Metrology,and Measurements of Renewable Energy Resources Renewable resources can vary considerably from one geographic and Instrumentation Team, provides renewable resource data for U.S. and international locations. Modeling Using, or to define the resource at specific locations where renewable technologies might be installed to meet

468

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

469

Coal resource assessments: Calculating resources by GIS at the USGS  

SciTech Connect

Recent projections as to the future of coal are, for the most part, in general agreement that the production will continue to increase at approximately the current rate for the next 16 to 21 years. A very different view of the future resulted from recent analyses done by the EIA for the US House of Representatives Committee on Science. In these analyses the impacts of the Kyoto Protocol on US energy markets were modeled using six scenarios that reduced the carbon emission to varying levels below the reference case (carbon emissions in the reference case are 33% above the 1990 levels in 2020) The six scenarios resulted in projections that coal consumption in the US in 2010 would be reduced by between 18 and 77% with further significant decreases by 2020. This paper discusses national coal resource assessments by the USGS; coal resource data handling and analyses by GIS; coal assessments from resources to reserves; and coal resource information delivery.

Gluskoter, H.; Tewalt, S.J.; Levine, M.

1999-07-01T23:59:59.000Z

470

Carrots and Sticks: A Comprehensive Business Model for the Successful Achievement of Energy Efficiency Resource Standards Environmental Energy Technologies DivisionMarch 2011  

SciTech Connect

Energy efficiency resource standards (EERS) are a prominent strategy to potentially achieve rapid and aggressive energy savings goals in the U.S. As of December 2010, twenty-six U.S. states had some form of an EERS with savings goals applicable to energy efficiency (EE) programs paid for by utility customers. The European Union has initiated a similar type of savings goal, the Energy End-use Efficiency and Energy Services Directive, where it is being implemented in some countries through direct partnership with regulated electric utilities. U.S. utilities face significant financial disincentives under traditional regulation which affects the interest of shareholders and managers in aggressively pursuing cost-effective energy efficiency. Regulators are considering some combination of mandated goals ('sticks') and alternative utility business model components ('carrots' such as performance incentives) to align the utility's business and financial interests with state and federal energy efficiency public policy goals. European countries that have directed their utilities to administer EE programs have generally relied on non-binding mandates and targets; in the U.S., most state regulators have increasingly viewed 'carrots' as a necessary condition for successful achievement of energy efficiency goals and targets. In this paper, we analyze the financial impacts of an EERS on a large electric utility in the State of Arizona using a pro-forma utility financial model, including impacts on utility earnings, customer bills and rates. We demonstrate how a viable business model can be designed to improve the business case while retaining sizable ratepayer benefits. Quantifying these concerns and identifying ways they can be addressed are crucial steps in gaining the support of major stakeholder groups - lessons that can apply to other countries looking to significantly increase savings targets that can be achieved from their own utility-administered EE programs.

Satchwell, Andrew; Cappers, Peter; Goldman, Charles

2011-03-22T23:59:59.000Z

471

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

472

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

473

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

474

NREL GIS Data: Alaska Low Resolution Photovoltaic Solar Resource | OpenEI  

Open Energy Info (EERE)

8 8 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278078 Varnish cache server NREL GIS Data: Alaska Low Resolution Photovoltaic Solar Resource Dataset Summary Description Abstract: Monthly and annual average solar resource potential for Alaska. Purpose: Provide information on the solar resource potential for Alaska. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Supplemental_Information: This data provides monthly average and annual average daily total solar resource averaged over surface cells of approximatley 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation (CSR) Model. The CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific information about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses information on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. The cloud cover data used as input to the CSR model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately 40km x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained from the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis (RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

475

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

476

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 François Bertucci

2013-09-01T23:59:59.000Z

477

Clean Cities: Information Resources  

NLE Websites -- All DOE Office Websites (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

478

Impact Assessment of Satellite-Derived Leaf Area Index Datasets Using a General Circulation Model  

E-Print Network (OSTI)

HYUN-SUK KANG Department of Geography, University of California, Los Angeles, Los Angeles, California of California, Los Angeles, Los Angeles, California G. JAMES COLLATZ NASA Goddard Space Flight Center, Greenbelt and composition, ocean circulation, and solar orbit perturbations (Pielke et al. 1998). In most bio- physical land

Xue, Yongkang

479

Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets  

E-Print Network (OSTI)

and Analysis for Spatial Data, Boca Raton, FL: Chapman &Multivariate Dynamic Spatial Data,” Environmetrics, 16, 465–based Estimation in Large Spatial Data Sets,” Journal of the

Datta, Abhirup; Banerjee, Sudipto; Finley, Andrew O.; Gelfand, Alan E.

2015-01-01T23:59:59.000Z

480

Information Resources - EERE Commercialization Office  

NLE Websites -- All DOE Office Websites (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...

Note: This page contains sample records for the topic "resource datasets modeled" 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

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

NLE Websites -- All DOE Office Websites (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

482

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

NLE Websites -- All DOE Office Websites (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

483

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 (kW h/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

484

Resources | Jefferson Lab  

NLE Websites -- All DOE Office Websites (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...

485

Ombuds Self Help Resources  

NLE Websites -- All DOE Office Websites (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...

486

Resources | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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...

487

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.

488

Geochemical Fingerprinting of Coltan Ores by Machine Learning on Uneven Datasets  

SciTech Connect

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

489

Career Map: Resource Scientist  

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

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

490

Teacher Resource Center: Science Fair Resources  

NLE Websites -- All DOE Office Websites (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.

491

Economic regulation of electricity distribution utilities under high penetration of distributed energy resources : applying an incentive compatible menu of contracts, reference network model and uncertainty mechanisms  

E-Print Network (OSTI)

Ongoing changes in the use and management of electricity distribution systems - including the proliferation of distributed energy resources, smart grid technologies (i.e., advanced power electronics and information and ...

Jenkins, Jesse D. (Jesse David)

2014-01-01T23:59:59.000Z

492

A New Operational Model for Satellite-Derived Irradiances: Description and  

Open Energy Info (EERE)

A New Operational Model for Satellite-Derived Irradiances: Description and A New Operational Model for Satellite-Derived Irradiances: Description and Validation Dataset Summary Description (Abstract): We present a new simple model capable of exploiting geostationary satellite visible images for the production of site/time specific global and direct irradiances The new model features new clear sky global and direct irradiance functions, a new cloud-index-to-irradiance index function, a new global-to-direct-irradiance conversion model. The model can also exploit operationally available snow cover resource data, while deriving local ground specular reflectance characteristics from the stream of incoming satellite data. Validation against 10 US locations representing a wide range of climatic environments indicates that model performance is

493

Wave Energy Resource Analysis for Use in Wave Energy Conversion  

E-Print Network (OSTI)

In order to predict the response of wave energy converters an accurate representation of the wave climate resource is crucial. This paper gives an overview of wave resource modeling techniques as well as detailing a methodology for estimating...

Pastor, J.; Liu, Y.; Dou, Y.

2014-01-01T23:59:59.000Z

494

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:

495

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:

496

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.

497

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

SciTech Connect

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

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

2012-03-01T23:59:59.000Z

498

School Of Resource and Environmental Management  

E-Print Network (OSTI)

School Of Resource and Environmental Management SIMON FRASER UNIVERSITY Sessional Instructor of topics in natural resource management (e.g. ecology, fisheries, forestry, water management Position ­ Spring 2014 ­ REM 412: Environmental Modelling- Applications are invited for one-term sessional

499

Primer on gas integrated resource planning  

SciTech Connect

This report discusses the following topics: gas resource planning: need for IRP; gas integrated resource planning: methods and models; supply and capacity planning for gas utilities; methods for estimating gas avoided costs; economic analysis of gas utility DSM programs: benefit-cost tests; gas DSM technologies and programs; end-use fuel substitution; and financial aspects of gas demand-side management programs.

Goldman, C.; Comnes, G.A.; Busch, J.; Wiel, S. [Lawrence Berkeley Lab., CA (United States)

1993-12-01T23:59:59.000Z

500

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