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Note: This page contains sample records for the topic "b3 census region" 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

Table B3. Census Region, Number of Buildings and Floorspace, 1999  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.51 " "5. Number8.. Census

2

"Table HC12.13 Lighting Usage Indicators by Midwest Census Region...  

U.S. Energy Information Administration (EIA) Indexed Site

3 Lighting Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total...

3

"Table HC13.13 Lighting Usage Indicators by South Census Region...  

U.S. Energy Information Administration (EIA) Indexed Site

3 Lighting Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total...

4

"Table HC14.13 Lighting Usage Indicators by West Census Region...  

U.S. Energy Information Administration (EIA) Indexed Site

3 Lighting Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West"...

5

Hanford Site Regional Population - 2010 Census  

SciTech Connect (OSTI)

The U.S. Department of Energy conducts radiological operations in south-central Washington State. Population dose estimates must be performed to provide a measure of the impact from site radiological releases. Results of the U.S. 2010 Census were used to determine counts and distributions for the residential population located within 50-miles of several operating areas of the Hanford Site. Year 2010 was the first census year that a 50-mile population of a Hanford Site operational area exceeded the half-million mark.

Hamilton, Erin L.; Snyder, Sandra F.

2011-08-12T23:59:59.000Z

6

"Table HC10.13 Lighting Usage Indicators by U.S. Census Region...  

U.S. Energy Information Administration (EIA) Indexed Site

3 Lighting Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Lighting Usage Indicators",,"Northeast","Mi...

7

Chandra Orion Ultradeep Project census of X-ray stars in the BN-KL and OMC-1S regions  

E-Print Network [OSTI]

Chandra Orion Ultradeep Project census of X-ray stars in the BN-KL and OMC-1S regions N. Grosso1 Molecular Cloud 1 (OMC-1) behind the Orion Nebula Cluster (ONC), as seen in the exceptionally deep ( 10 days) exposure of the Chandra Orion Ultradeep Project (COUP). We focus on a 40 Ã? 50 region around the Becklin

Boyer, Edmond

8

"Table HC13.7 Air-Conditioning Usage Indicators by South Census...  

U.S. Energy Information Administration (EIA) Indexed Site

7 Air-Conditioning Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division"...

9

"Table HC12.7 Air-Conditioning Usage Indicators by Midwest Census...  

U.S. Energy Information Administration (EIA) Indexed Site

7 Air-Conditioning Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division"...

10

"Table HC11.13 Lighting Usage Indicators by Northeast Census...  

U.S. Energy Information Administration (EIA) Indexed Site

3 Lighting Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division"...

11

CHANDRA ORION ULTRADEEP PROJECT CENSUS OF X-RAY STARS IN THE BN-KL AND OMC-1S REGIONS N. Grosso,1  

E-Print Network [OSTI]

CHANDRA ORION ULTRADEEP PROJECT CENSUS OF X-RAY STARS IN THE BN-KL AND OMC-1S REGIONS N. Grosso,1 E), as seen in the exceptionally deep ($10 days) exposure of the Chandra Orion Ultradeep Project (COUP). We (collectively BN-KL) and a 6000 ; 7500 region around OMC-1S, a secondary star- forming peak some 9000 south

Micela, Giusi

12

"Table HC14.7 Air-Conditioning Usage Indicators by West Census...  

U.S. Energy Information Administration (EIA) Indexed Site

7 Air-Conditioning Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total...

13

Colorado Census Snapshot: 2010  

E-Print Network [OSTI]

Colorado Census Snapshot: 2010 Same-sex couples Same-sexThornton Longmont Northglenn Colorado Springs Fort Collins

Gates, Gary J.; Cooke, Abigail M.

2011-01-01T23:59:59.000Z

14

36th annual Reed rig census  

SciTech Connect (OSTI)

For the sixth straight year, the number of rigs available in the U.S. declined. Five hundred and seventy-nine rotary rigs dropped out of drilling industry competition during the past 12 months as attrition forced rig supply closer toward balance with demand. Significant highlights of this year's census are: The U.S. rig fleet now stands at 2,752 drilling rigs, a 17.4% reduction from the census count in 1987. This is the largest percentage decline and the third largest absolute decline in available rigs in census history; The 1988 census active count was 1,532 rigs, up 10% over 1987; The 1988 census utilization rate was 55.7%, up from the 41.7% reported last year and a 110% improvement over the all-time low of 26.3% in 1986; Every region in the country reported a reduction in total available rigs. Each region also reported an increase in the active ring count with the exception of Ark-La-Tex; California had the highest utilization rate in the census (63.9%), and all regions reported a utilization rate greater than 50% with the exception of Ark-La-Tex, which reported a 45.5% rate; The number of rig owners declined 12% from 691 to 608. The decline in available rigs would have been greater, but owners brought back 226 rigs that had been dropped from previous census tabulations.

Fitts, R.L.; Crowhurst, M.E. (Reed Tool Co., Houston, TX (US))

1988-10-01T23:59:59.000Z

15

Census Snapshot: Oklahoma  

E-Print Network [OSTI]

WILLIAMS INSTITUTE CENSUS SNAPSHOT | OKLAHOMA | JANUARY 2008OKLAHOMA Adam P. Romero, Public Policy Fellow Clifford J.couples raising children in Oklahoma. We compare same-sex “

Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

2008-01-01T23:59:59.000Z

16

"Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census...  

U.S. Energy Information Administration (EIA) Indexed Site

7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Air Conditioning Usage...

17

Oklahoma Census Snapshot: 2010  

E-Print Network [OSTI]

Oklahoma Census Snapshot: 2010 Same-sex couples per 1,000same-sex couples County Oklahoma Same-sex couples (adjusted)households (adjusted) Tulsa Oklahoma City Norman Shawnee

Gates, Gary J.; Cooke, Abigail M.

2011-01-01T23:59:59.000Z

18

The Census Taker's Hat  

E-Print Network [OSTI]

If the observable universe really is a hologram, then of what sort? Is it rich enough to keep track of an eternally inflating multiverse? What physical and mathematical principles underlie it? Is the hologram a lower dimensional quantum field theory, and if so, how many dimensions are explicit, and how many "emerge?" Does the Holographic description provide clues for defining a probability measure on the Landscape? The purpose of this lecture is first, to briefly review a proposal for a holographic cosmology by Freivogel, Sekino, Susskind, and Yeh (FSSY), and then to develop a physical interpretation in terms of a "Cosmic Census Taker:" an idea introduced in reference [1]. The mathematical structure--a hybrid of the Wheeler DeWitt formalism and holography--is a boundary "Liouville" field theory, whose UV/IR duality is closely related to the time evolution of the Census Taker's observations. That time evolution is represented by the renormalization-group flow of the Liouville theory. Although quite general, the Census Taker idea was originally introduced in \\cite{shenker}, for the purpose of counting bubbles that collide with the Census Taker's bubble. The "Persistence of Memory" phenomenon discovered by Garriga, Guth, and Vilenkin, has a natural RG interpretation, as does slow roll inflation. The RG flow and the related C-theorem are closely connected with generalized entropy bounds.

Leonard Susskind

2007-10-05T23:59:59.000Z

19

Harvesting Machine Census 1999 & 2001  

E-Print Network [OSTI]

1 Harvesting Machine Census 1999 & 2001 231 Corstorphine Road Edinburgh EH12 7AT www.forestry.gov.uk FCTN001 SUMMARY This Technical Note contains information on the 1999 and 2001 harvesting machine machines, converted forwarders, etc., account for the remaining machines. In the 2001 census, 65

20

Appendix B-3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout theOFFICEAmes LaboratoryAntonyaAppeals AppealsU.S.AppendixB3 STANDARD

Note: This page contains sample records for the topic "b3 census region" 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

FINDING INFORMATION FOR TORONTO IN THE CENSUS OF CANADA 1901  

E-Print Network [OSTI]

1 FINDING INFORMATION FOR TORONTO IN THE CENSUS OF CANADA 1901 (NOMINAL CENSUS) Go to 1901TorontoCensusDistrict,Sub-Districtandmicrofilmreelnumber To find information for an individual in the Census of Canada 1901, you need to know: - the Census Directory first, to get the street address. #12;2 Go to the Library andArchives Canada website for Census

Haykin, Simon

22

1999 Commercial Buildings Characteristics--Census Region  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion Cubic Feet)WyomingSquare FeetHouseholds,

23

Figure 1. Census Regions and Divisions  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for the current861 ANNUALUS Federal

24

44. Annual Reed rig census  

SciTech Connect (OSTI)

Reed Tool Company`s 44th annual rotary rig census found a spirit of increased optimism in the US oil and gas drilling industry. Rig utilization rose to 77% this year, the highest since the boom times of 15 years ago. A combination of a higher number of active rigs and another decline in available units to a historical low, led to this higher-than-average utilization rate. The paper discusses results from the survey.

Stokes, T.A.; Rodriguez, M.R. [Reed Tool Co., Houston, TX (United States)

1996-10-01T23:59:59.000Z

25

Title: Census of Canada 2001: Census Tract Profile: Winnipeg, Manitoba Data Creator /  

E-Print Network [OSTI]

Title: Census of Canada 2001: Census Tract Profile: Winnipeg, Manitoba Data Creator / Copyright Owner: Statistics Canada Publisher: Statistics Canada Edition: 2001 Versions: N/A Publication Date: 2003. Contact: Map and GIS Librarian (gislib@yorku.ca) Citation: Canada. Statistics Canada. "Census of Canada

26

34th annual reed rotary rig census  

SciTech Connect (OSTI)

This article reports that the number of rigs active according to the 1986 census is 1052, which represents a decline of 1573 rigs from 1985 figures. This 60 percent decrease is the largest decline of active rigs in the 34-year history of the census. The 1986 census takers found 3993 rigs are available with the capacity to drill deeper than 3000 ft. The count has thus declined by 416 rigs (9 percent) from the 1985 total of 4409. Rig availability declined for the fourth consecutive year following nine straight years of fleet expansion (1974-1982). During the past four years, 1651 rigs have been removed from the drilling fleet representing a 29 percent decline from the record high number of rigs available in 1982. The 1986 decline in the available U.S. fleet is considerably less than what many industry observers had been anticipating. A larger decrease in the rig fleet has not been realized for a number of reasons.

Hutchinson, D.L.; Pastusek, P.E.

1986-10-01T23:59:59.000Z

27

42nd Annual Reed rig census  

SciTech Connect (OSTI)

The eleven-year trend of attrition in the US rig fleet slowed significantly this year as only 12 rigs, or less than 1%, left the available fleet. The number of rotary rigs available for drilling in the US now stands at 1,841. but for the 42-year history of the Reed Tool Co. Rotary Rig Census, the 1973 available rig count of 1,767 remains the record low for yet another year. The count of rigs active during the 45-day census period also declined since last year's census. The active count was down 4.5% to 1,221 from 1,279 in 1993. As a consequence, rig utilization fell to 66.3% in 1994, from 69.0% last year. Notably, a strong shift to gas from oil drilling has occurred. Of the 1,221 rigs active in the census period, 540 were drilling for gas on the last well vs. 356 drilling for oil. Compared to last year, this is an increase in gas drilling of 29% and a decrease in oil drilling 22%. (Rigs targeting both oil and gas totaled 325 in 1994.)

Stokes, T.A.; Rodriquez, M.R. (Reed Tool Co., Houston, TX (United States))

1994-10-01T23:59:59.000Z

28

39th annual Reed rig census  

SciTech Connect (OSTI)

This paper reports on cutbacks in U.S. exploration and development drilling during the first half of 1991 which squeezed most of the optimism out of the drilling industry. Just how rough the year has been is underscored by the results of this year's rig census. The number of rotary rigs available for U.S. drilling declined by only 69 units (3%) during the past 12 months. But despite those withdrawals from competition, only 66% of the remaining rigs were working at the time the census was taken. Results of the 1991 census contrasted sharply with the stability and optimism that seemed apparent a year ago when 72% of the available rig fleet met the census definition of active. At that time, the mini-boom in horizontal drilling coupled with tax-credit- driven gas drilling led to a relatively high rig utilization rate and suggested that rig supply and demand might be close to an economically acceptable balance. However, it quickly became apparent in early 1991 that industry optimism was unjustified. Horizontal drilling began to drop and the lowest natural gas prices in 12 years triggered rapid declines in gas drilling. Although oil prices have been relatively stable and above $18 per bbl since January 1989, most major operators have concluded that a better return on investment can be had outside the U.S. and have drastically cut their domestic drilling budgets. These factors, combined with softened energy demand from the worldwide recession, further slowed U.S. drilling. The long awaited balance between rig supply and demand has seemingly slipped away. The 1991 Reed rig census describes an industry facing several more rough years. Details of this year's census include: The available U.S. fleet now stands at 2,251 rigs, down by 69 from the 2,320-unit total in 1990, and the lowest since 1976. Rigs meeting the census definition of active numbered 1,485, down 192 (11.4%) from the 1,677 active rigs counted a year earlier.

Crowhurst, M.E.; Fitts, R.L. (Reed Tool Co., Houston, TX (US))

1991-10-01T23:59:59.000Z

29

45th annual Reed rig census  

SciTech Connect (OSTI)

Since 1983, Reed Tool Co.`s annual rotary rig census has reported 14 consecutive annual reductions in the U.S. rig fleet. This year, the downward trend has reversed and more rigs have been added to the available fleet than have left. Robust drilling activity has also spurred higher rig utilization in 1997. Utilization climbed to 86.9% this year, more than ten percentage points higher than a year ago and the highest since 1981. Data and trends are discussed.

Stokes, T.A.; Rodriguez, M.R. [Reed Tool Co., Houston, TX (United States)

1997-10-01T23:59:59.000Z

30

40th annual Reed rig census  

SciTech Connect (OSTI)

This paper reports that declines characterize the 1992 rig census-in the number of available drilling rigs, in the number of active rigs, in rig utilization rate, in the number of rig owners and in industry optimism. The number of rotary rigs available for U.S. drilling fell by 255 units (11.3%) during the past 12 months, an attrition rate almost four times greater than in 1991. But despite the high attrition, only 59.7% of remaining rigs were working during the time the census was taken. Results of the 1992 census bring emphasis to an industry trend that became apparent in early 1991. The major oil companies, and many independents, continued their exodus form the U.S., and the remaining independents, which were hurt by low natural gas prices and unfavorable tax treatment of intangible drilling costs, were not able to pick u the drilling slack. Consequently, the past year has been disastrous for many U.S. drilling contractors, and the outlook for this industry segment remains bleak.

Fitts, R.L.; Stokes, T.A. (Reed Tool Co., Houston, TX (United States))

1992-10-01T23:59:59.000Z

31

" by Census Region, Census Division, Industry Group, Selected Industries, and"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006.......... 54.96242.673.06-PresentD.Total

32

" by Census Region, Census Division, Industry Group, Selected Industries, and"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006.......... 54.96242.673.06-PresentD.TotalTotal

33

" by Census Region, Census Division, Industry Group, Selected Industries, and"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........

34

Table A26. Components of Total Electricity Demand by Census Region, Census Di  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.5 56,673.61 "TotalComponents

35

" Census Region, Census Division, Industry Group, and Selected Industries, 1994"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs of

36

" and Electricity Generation by Census Region, Census Division, Industry Group,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number7 Number3.

37

" by Type of Supplier, Census Region, Census Division, Industry Group,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number7

38

" of Supplier, Census Region, Census Division, and Economic Characteristics"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs1 Number7Quantity

39

" Electricity Generation by Census Region, Census Division, Industry Group, and"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3. Number33A6.

40

Interfacing US Census map files with statistical graphics software: Application and use in epidemiology  

SciTech Connect (OSTI)

In 1990, the United States Bureau of the Census released detailed geographic map files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing). The TIGER files, accessible through purchase or Federal repository libraries, contain 24 billion characters of data describing various geographic features including coastlines, hydrography, transportation networks, political boundaries, etc. covering the entire United States. Many of these physical features are of potential interest in epidemiological case studies. Unfortunately, the TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. Recently, the S statistical software package has been extended to include a map display function. The map function augments S's high-level approach toward statistical analysis and graphical display of data. Coupling this statistical software with the map database developed for US Census data collection will facilitate epidemiological research. We discuss the technical background necessary to utilize the TIGER database for mapping with S. Two types of S maps, segment-based and polygon-based, are discussed along with methods to construct them from TIGER data. Polygon-based maps are useful for displaying regional statistical data; e.g., disease rates or incidence at the census tract level. Segment-based maps are easier to assemble and appropriate if the data are not regionalized. Census tract data of AIDS incidence in San Francisco (CA) and lung cancer case locations relative to petrochemical refinery sites in Contra Costa County (CA) are used to illustrate the methods and potential uses of interfacing the TIGER database with S.

Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. (Lawrence Berkeley Lab., CA (United States) California Univ., Berkeley, CA (United States). School of Public Health)

1993-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "b3 census region" 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

Table 23. Coal Receipts at Coke Plants by Census Division  

U.S. Energy Information Administration (EIA) Indexed Site

Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2014 Table 23. Coal Receipts at Coke Plants by Census Division...

42

Forest Inventory and Analysis Research The Nation's Forest Census  

E-Print Network [OSTI]

Forest Inventory and Analysis Research F I A The Nation's Forest Census The U.S. Forest Inventory Monitoring Symposium November 4, 2008 #12;Forest Inventory and Analysis Research F I A The Nation's Forest Census FIA Program Perspectives · Only comprehensive forest inventory for each of the 50 States, Puerto

43

CREEL CENSUS AND EXPENDITURE STUDY, NORTH FORK SUN RIVER,  

E-Print Network [OSTI]

CREEL CENSUS AND EXPENDITURE STUDY, NORTH FORK SUN RIVER, MONTANA, 1951 Marine Biological STUDY, NORTH FORK SUN RIVER, MONTANA, 1951 Marine Biological Laboratory JUN16 1954 WOODS HOLE, MASS MAP CREEL CENSUS SUN RIVER MONTANA DRAWN i*^ ^ TRACED- _2£jLt:l SUBMITTED . 1 V N 01 1 VN ei

44

216-B-3 expansion ponds closure plan  

SciTech Connect (OSTI)

This document describes the activities for clean closure under the Resource Conservation and Recovery Act of 1976 (RCRA) of the 216-B-3 Expansion Ponds. The 216-B-3 Expansion Ponds are operated by the US Department of Energy, Richland Operations Office (DOE-RL) and co-operated by Westinghouse Hanford Company (Westinghouse Hanford). The 216-B-3 Expansion Ponds consists of a series of three earthen, unlined, interconnected ponds that receive waste water from various 200 East Area operating facilities. The 3A, 3B, and 3C ponds are referred to as Expansion Ponds because they expanded the capability of the B Pond System. Waste water (primarily cooling water, steam condensate, and sanitary water) from various 200 East Area facilities is discharged to the Bypass pipe (Project X-009). Water discharged to the Bypass pipe flows directly into the 216-B-3C Pond. The ponds were operated in a cascade mode, where the Main Pond overflowed into the 3A Pond and the 3A Pond overflowed into the 3C Pond. The 3B Pond has not received waste water since May 1985; however, when in operation, the 3B Pond received overflow from the 3A Pond. In the past, waste water discharges to the Expansion Ponds had the potential to have contained mixed waste (radioactive waste and dangerous waste). The radioactive portion of mixed waste has been interpreted by the US Department of Energy (DOE) to be regulated under the Atomic Energy Act of 1954; the dangerous waste portion of mixed waste is regulated under RCRA.

Not Available

1994-10-01T23:59:59.000Z

45

Interfacing US Census map files with statistical graphics software: Application and use in epidemiology. Revision 1  

SciTech Connect (OSTI)

In 1990, the United States Bureau of the Census released detailed geographic map files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing). The TIGER files, accessible through purchase or Federal repository libraries, contain 24 billion characters of data describing various geographic features including coastlines, hydrography, transportation networks, political boundaries, etc. covering the entire United States. Many of these physical features are of potential interest in epidemiological case studies. Unfortunately, the TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. Recently, the S statistical software package has been extended to include a map display function. The map function augments S`s high-level approach toward statistical analysis and graphical display of data. Coupling this statistical software with the map database developed for US Census data collection will facilitate epidemiological research. We discuss the technical background necessary to utilize the TIGER database for mapping with S. Two types of S maps, segment-based and polygon-based, are discussed along with methods to construct them from TIGER data. Polygon-based maps are useful for displaying regional statistical data; e.g., disease rates or incidence at the census tract level. Segment-based maps are easier to assemble and appropriate if the data are not regionalized. Census tract data of AIDS incidence in San Francisco (CA) and lung cancer case locations relative to petrochemical refinery sites in Contra Costa County (CA) are used to illustrate the methods and potential uses of interfacing the TIGER database with S.

Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. [Lawrence Berkeley Lab., CA (United States)]|[California Univ., Berkeley, CA (United States). School of Public Health

1993-03-01T23:59:59.000Z

46

Microsoft Word - CX-B3S4-WhiteBluffs_Benton-B3S4_Reroute_FY14...  

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

Clearance Memorandum Mark Korsness Project Manager - TEP-TPP-3 Proposed Action: B3S4-White Bluffs 1 and Benton-B3S4 1 Transmission Line Reroute PP&A Project No.: 2907...

47

Substrate Dependent Alterations of Organic Anion Transporting Polypeptide 1B3 (OATP1B3)  

E-Print Network [OSTI]

………………..……….…… 39 1.5.1a: Interaction of green tea catechins with organic anion transporting polypeptides ………………..………………………. 39 1.5.1b Isolation of modulators of organic anion transporting polypeptides 1B1 and 1B3 from Rollinia emarginata Schlecht (Annonaceae... ix 2.10 Calculations and Statistics ……………………………………………….…………….. 49 Chapter 3 Interactions of Green Tea Catechins with Organic Anion-Transporting Polypeptides 3.1 Abstract ……………………………………………………………………………..….. 50 3.2 Introduction...

Roth, Megan Elizabeth

2011-12-31T23:59:59.000Z

48

Census: Location-Aware Membership Management for Large-Scale Distributed Systems  

E-Print Network [OSTI]

We present Census, a platform for building large-scale distributed applications. Census provides a membership service and a multicast mechanism. The membership service provides every node with a consistent view of the ...

Cowling, James Alexander

49

Mining Spatial Association Rules in Census Data: A Relational Approach  

E-Print Network [OSTI]

Mining Spatial Association Rules in Census Data: A Relational Approach Donato Malerba, Francesca A involving spatial relations among (spatial) objects. The method is based on a multi-relational data mining by traditional statistical techniques in spatial data analysis. The proposed method has been implemented

Malerba, Donato

50

Table 33. Coal Carbonized at Coke Plants by Census Division  

U.S. Energy Information Administration (EIA) Indexed Site

2014 Year to Date Census Division April - June 2014 January - March 2014 April - June 2013 2014 2013 Percent Change Middle Atlantic 1,599 1,503 1,622 3,102 3,178 -2.4 East North...

51

INSTRUCTIONS FOR OBTAINING CENSUS DATA FROM E-STAT  

E-Print Network [OSTI]

Titlelink to connect to E-Stat. You may be asked to enter a user ID and password (depending on where you are). Just1 INSTRUCTIONS FOR OBTAINING CENSUS DATA FROM E-STAT Go to the Library homepage http://library.mcmaster.ca Click on the FIND ARTICLES tab. Click on the letter E and scroll down to find E-Stat. Clickonthe

Haykin, Simon

52

"Table A25. Components of Total Electricity Demand by Census Region, Census Division, Industry"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table N8.3;"0.

53

"Table A33. Total Quantity of Purchased Energy Sources by Census Region, Census Division,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table2" "Quantity

54

How to Get Census Data from E-STAT  

E-Print Network [OSTI]

How to Get Census Data from E-STAT Connecting to E-STAT 1) From the Library Home Page, http on the Title or the URL to enter E-STAT 4) You will be prompted to enter a user name and password. If you have a MAC ID, simply enter your MAC ID name and password. If you do not have a MAC ID, you will need to use

Haykin, Simon

55

Appendix B: Chemicals Appendix B: Chemicals B-3  

E-Print Network [OSTI]

of chemicals, we can increase food production, cure diseases, build more efficient houses, and send people are exposed to chemicals by inhalation (breathing air), ingestion (eating exposed plants and animalsAppendix B: Chemicals #12;Appendix B: Chemicals B-3 Appendix B: Chemicals This appendix presents

Pennycook, Steve

56

The Atlas3D project --III. A census of the stellar angular momentum within the  

E-Print Network [OSTI]

The Atlas3D project -- III. A census of the stellar angular momentum within the effective radius style file v2.2) The ATLAS3D project ­ III. A census of the stellar angular momentum within¨ur extraterrestrische Physik, PO Box 1312, D-85478 Garching, Germany 8Space Telescope European Coordinating Facility

Bureau, Martin

57

A GSC Global Genome Census (GSC8 Meeting)  

ScienceCinema (OSTI)

The Genomic Standards Consortium was formed in September 2005. It is an international, open-membership working body which promotes standardization in the description of genomes and the exchange and integration of genomic data. The 2009 meeting was an activity of a five-year funding "Research Coordination Network" from the National Science Foundation and was organized held at the DOE Joint Genome Institute with organizational support provided by the JGI and by the University of California - San Diego. Nikos Kyrpides of the DOE Joint Genome Institute discusses the notion of a global genome census at the Genomic Standards Consortium's 8th meeting at the DOE JGI in Walnut Creek, Calif. on Sept. 9, 2009.

Kyrpides, Nikos [DOE JGI

2011-04-29T23:59:59.000Z

58

1992 National census for district heating, cooling and cogeneration  

SciTech Connect (OSTI)

District energy systems are a major part of the energy use and delivery infrastructure of the United States. With nearly 6,000 operating systems currently in place, district energy represents approximately 800 billion BTU per hour of installed thermal production capacity, and provides over 1.1 quadrillion BTU of energy annually -- about 1.3% of all energy used in the US each year. Delivered through more that 20,000 miles of pipe, this energy is used to heat and cool almost 12 billion square feet of enclosed space in buildings that serve a diverse range of office, education, health care, military, industrial and residential needs. This Census is intended to provide a better understanding of the character and extent of district heating, cooling and cogeneration in the United States. It defines a district energy system as: Any system that provides thermal energy (steam, hot water, or chilled water) for space heating, space cooling, or process uses from a central plant, and that distributes the energy to two or more buildings through a network of pipes. If electricity is produced, the system is a cogenerating facility. The Census was conducted through surveys administered to the memberships of eleven national associations and agencies that collectively represent the great majority of the nation`s district energy system operators. Responses received from these surveys account for about 11% of all district systems in the United States. Data in this report is organized and presented within six user sectors selected to illustrate the significance of district energy in institutional, community and utility settings. Projections estimate the full extent of district energy systems in each sector.

Not Available

1993-07-01T23:59:59.000Z

59

Census taking in the hat: FRW/CFT duality  

SciTech Connect (OSTI)

In this paper a holographic description of eternal inflation is developed. We focus on the description of an open Friedmann-Robertson-Walker (FRW) universe that results from a tunneling event in which a false vacuum with positive vacuum energy decays to a supersymmetric vacuum with vanishing cosmological constant. The observations of a 'census taker' in the final vacuum can be organized into a holographic dual conformal field theory that lives on the asymptotic boundary of space. We refer to this bulk-boundary correspondence as FRW/CFT duality. The dual conformal field theory (CFT) is a Euclidean two-dimensional theory that includes a Liouville 2D gravity sector describing geometric fluctuations of the boundary. The renormalization-group flow of the theory is richer than in the AdS/CFT correspondence, and generates two space-time dimensions--one spacelike and one timelike. We discuss a number of phenomena such as bubble collisions, and the Garriga, Guth Vilenkin 'persistence of memory', from the dual viewpoint.

Sekino, Yasuhiro [Department of Physics, Stanford University, Stanford, California 94305-4060 (United States); Okayama Institute for Quantum Physics, 1-9-1 Kyoyama, Okayama 700-0015 (Japan); Susskind, Leonard [Department of Physics, Stanford University, Stanford, California 94305-4060 (United States)

2009-10-15T23:59:59.000Z

60

Solar Census - Perfecting the Art of Automated, Remote Solar Shading Assessments (Fact Sheet)  

SciTech Connect (OSTI)

To validate the work completed by Solar Census as part of the Department of Energy SunShot Incubator 8 award, NREL validated the performanec of the Solar Census Surveyor tool against the industry standard Solmetric SunEye measurements for 4 residential sites in California who experienced light to heavy shading. Using the a two one-sided test (TOST) of statistical equivalence, NREL found that the mean differences between the Solar Census and SunEye mean solar access values for Annual, Summer, and Winter readings fall within the 95% confidence intervals and the confidence intervals themselves fall within the tolerances of +/- 5 SAVs, the Solar Census calculations are statistically equivalent to the SunEye measurements.

Not Available

2014-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "b3 census region" 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

Interfacing 1990 US Census TIGER map files with New S graphics software  

SciTech Connect (OSTI)

In 1990, the United States Bureau of the Census released detailed geographic base files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing) which contain detail on the physical features and census tract boundaries of every county in the United States. The TIGER database is attractive for two reasons. First, it is publicly available through the Bureau of the Census on tape or cd-rom for a minimal fee. Second, it contains 24 billion characters of data which describe geographic features of interest to the Census Bureau such as coastlines, hydrography, transportation networks, political boundaries, etc. Unfortunately, the large TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. On the other hand New S, a popular statistical software package by AT&T, has easily operated functions that permit advanced graphics in conjunction with data analysis. New S has the ability to plot contours, lines, segments, and points. However, of special interest is the New S function map and its options. Using the map function, which requires polygons as input, census tracts can be quickly selected, plotted, shaded, etc. New S graphics combined with the TIGER database has obvious potential. This paper reports on our efforts to use the TIGER map files with New S, especially to construct census tract maps of counties. While census tract boundaries are inherently polygonal, they are not organized as such in the TIGER database. This conversion of the TIGER ``line`` format into New S ``polygon/polyline`` format is one facet of the work reported here. Also we discuss the selection and extraction of auxiliary geographic information from TIGER files for graphical display using New S.

Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. [Lawrence Berkeley Lab., CA (United States)]|[California Univ., Berkeley, CA (United States). School of Public Health

1992-07-01T23:59:59.000Z

62

Table HC1-10a. Housing Unit Characteristics by Midwest Census Region,  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy

63

Table HC1-11a. Housing Unit Characteristics by South Census Region,  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy1a. Housing Unit

64

Table HC1-12a. Housing Unit Characteristics by West Census Region,  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy1a. Housing

65

Table HC1-9a. Housing Unit Characteristics by Northeast Census Region,  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy1a.5a.9a. Housing

66

Table HC11.1 Housing Unit Characteristics by Northeast Census Region, 2005  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy1a.5a.9a.

67

U.S. Census Regions and Divisions Map for Commercial Buildings  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--State Offshore ShaleAcquisitionsWellsWells

68

Table 2: U.S. Geographic Areas and Census Regions | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of Energy StrainClient updateTRI-STATE GENERATION AND TRANSMISSION131:2:

69

Table A19. Components of Total Electricity Demand by Census Region and  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.5 56,673.61 "Total

70

Table A20. Components of Onsite Electricity Generation by Census Region and  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.5 56,673.61 "Total PAD PAD

71

Table A26. Total Quantity of Purchased Energy Sources by Census Region and  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.5 56,673.61

72

Table A28. Components of Onsite Electricity Generation by Census Region, Cens  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History71.7 588.5 56,673.61Quantity of

73

"Table HC11.1 Housing Unit Characteristics by Northeast Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total08 Water0.9

74

"Table HC11.11 Home Electronics Characteristics by Northeast Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total08

75

"Table HC11.13 Lighting Usage Indicators by Northeast Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total082 Home3

76

"Table HC11.2 Living Space Characteristics by Northeast Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total082 Home32

77

"Table HC11.4 Space Heating Characteristics by Northeast Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total082 Home324

78

"Table HC11.6 Air Conditioning Characteristics by Northeast Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total082

79

"Table HC11.8 Water Heating Characteristics by Northeast Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total08278 Water

80

"Table HC11.9 Home Appliances Characteristics by Northeast Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total08278

Note: This page contains sample records for the topic "b3 census region" 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

"Table HC12.1 Housing Unit Characteristics by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total08278

82

"Table HC12.11 Home Electronics Characteristics by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total082780 Home1

83

"Table HC12.13 Lighting Usage Indicators by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total0827803

84

"Table HC12.2 Living Space Characteristics by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total08278032

85

"Table HC12.4 Space Heating Characteristics by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total082780324

86

"Table HC12.6 Air Conditioning Characteristics by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total08278032456

87

"Table HC12.8 Water Heating Characteristics by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status

88

"Table HC12.9 Home Appliances Characteristics by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home

89

"Table HC13.1 Housing Unit Characteristics by South Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home Housing

90

"Table HC13.11 Home Electronics Characteristics by South Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home Housing01

91

"Table HC13.13 Lighting Usage Indicators by South Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home

92

"Table HC13.2 Living Space Characteristics by South Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home2 Living

93

"Table HC13.4 Space Heating Characteristics by South Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home2 Living4

94

"Table HC13.6 Air Conditioning Characteristics by South Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home2

95

"Table HC13.8 Water Heating Characteristics by South Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home278 Water

96

"Table HC13.9 Home Appliances Characteristics by South Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home278

97

"Table HC14.1 Housing Unit Characteristics by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home278

98

"Table HC14.11 Home Electronics Characteristics by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home2780 Home1

99

"Table HC14.13 Lighting Usage Indicators by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home27803

100

"Table HC14.2 Living Space Characteristics by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home278032

Note: This page contains sample records for the topic "b3 census region" 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

"Table HC14.4 Space Heating Characteristics by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home2780324

102

"Table HC14.6 Air Conditioning Characteristics by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home278032456

103

"Table HC14.8 Water Heating Characteristics by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9

104

"Table HC14.9 Home Appliances Characteristics by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.94.9 Home

105

" Generation by Census Region, Industry Group, Selected Industries, Presence of"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24

106

" Electricity Generation by Census Region, Industry Group, and Selected"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2

107

" Electricity Generation by Census Region, Industry Group, and Selected"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total22" " (Estimates

108

"Table A16. Components of Total Electricity Demand by Census Region, Industry"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table N8.3;"0. Total1.6.

109

"Table A17. Components of Onsite Electricity Generation by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table N8.3;"0. Total1.6.7.

110

"Table A22. Total Quantity of Purchased Energy Sources by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table N8.3;"0. Total1.6.7..2.

111

"Table A24. Total Expenditures for Purchased Energy Sources by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table N8.3;"0.

112

"Table A27. Components of Onsite Electricity Generation by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table N8.3;"0.Components of

113

"Table A28. Total Expenditures for Purchased Energy Sources by Census Region"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table N8.3;"0.Components

114

"Table A32. Total Quantity of Purchased Energy Sources by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table2" "Quantity of

115

"Table A36. Total Expenditures for Purchased Energy Sources by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table2" "Quantity6.

116

"Table A37. Total Expenditures for Purchased Energy Sources by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table2" "Quantity6.7.

117

"Table A42. Average Prices of Purchased Energy Sources by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table2"1"

118

"Table A42. Average Prices of Purchased Energy Sources by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table2"1"2" "

119

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

SciTech Connect (OSTI)

In connection with the comprehensive Epidemiologic Data Resource (CEDR) and Populations at risk to Environmental Pollution (PAREP) projects in the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), public data files containing socio-economic and geographic data are available to CEDR and PAREP collaborators in the LBL computing network. At this time 60 CD-ROM diskettes (approximately 30 gigabytes) are on line in the Unix file server cedrcd.lbl.gov. Most of the files are from the US Bureau of the Census, and most of those pertain to the 1990 Census of Population and Housing. This paper contains a list of the CD-ROMS available.

Merrill, D.W.

1992-04-01T23:59:59.000Z

120

Public census data on CD-ROM at Lawrence Berkeley Laboratory. Revision 1  

SciTech Connect (OSTI)

In connection with the Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socioeconomic and geographic data files which are available to CEDR and PAREP collaborators via LBL`s computing network. At this time 67 CD-ROM diskettes (approximately 35 gigabytes) are on line via the Unix file server cedrcd.lbl.gov. Most of the files are from the US Bureau of the Census, and most pertain to the 1990 Census of Population and Housing. This paper contains a list of the CD-ROMs available.

Merrill, D.W.

1992-07-02T23:59:59.000Z

Note: This page contains sample records for the topic "b3 census region" 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

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

SciTech Connect (OSTI)

In connection with the Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socioeconomic and geographic data files which are available to CEDR and PAREP collaborators via LBL's computing network. At this time 67 CD-ROM diskettes (approximately 35 gigabytes) are on line via the Unix file server cedrcd.lbl.gov. Most of the files are from the US Bureau of the Census, and most pertain to the 1990 Census of Population and Housing. This paper contains a list of the CD-ROMs available.

Merrill, D.W.

1992-07-02T23:59:59.000Z

122

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

123

COALITION FOR A SUSTAINABLE AGRICULTURAL WORKFORCE 2013 AGRICULTURAL SCIENCE WORKFORCE CENSUS  

E-Print Network [OSTI]

workforce planning and development data to create a broad inventory of the future need for scientistsCOALITION FOR A SUSTAINABLE AGRICULTURAL WORKFORCE 2013 AGRICULTURAL SCIENCE WORKFORCE CENSUS #12;Summary SUMMARY In January 2013, CSAW (Coalition for a Sustainable Agricultural Workforce) conducted

Wang, Xiaorui "Ray"

124

AN INFRARED CENSUS OF STAR FORMATION IN THE HORSEHEAD NEBULA  

SciTech Connect (OSTI)

At {approx} 400 pc, the Horsehead Nebula (B33) is the closest radiatively sculpted pillar to the Sun, but the state and extent of star formation in this structure is not well understood. We present deep near-infrared (IRSF/SIRIUS JHK {sub S}) and mid-infrared (Spitzer/IRAC) observations of the Horsehead Nebula to characterize the star-forming properties of this region and to assess the likelihood of triggered star formation. Infrared color-color and color-magnitude diagrams are used to identify young stars based on infrared excess emission and positions to the right of the zero-age main sequence, respectively. Of the 45 sources detected at both near- and mid-infrared wavelengths, three bona fide and five candidate young stars are identified in this 7' x 7' region. Two bona fide young stars have flat infrared spectral energy distributions and are located at the western irradiated tip of the pillar. The spatial coincidence of the protostars at the leading edge of this elephant trunk is consistent with the radiation-driven implosion model of triggered star formation. There is no evidence, however, for sequential star formation within the immediate {approx} 1.'5 (0.17 pc) region from the cloud/H II region interface.

Bowler, Brendan P. [Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822 (United States); Waller, William H. [Department of Physics and Astronomy, Tufts University, Medford, MA 02155 (United States); Megeath, S. Thomas [Department of Physics and Astronomy, University of Toledo, Toledo, OH 43606 (United States); Patten, Brian M. [National Science Foundation, 4201 Wilson Blvd. Arlington, VA 22230 (United States); Tamura, Motohide [National Astronomical Observatory of Japan, Osawa, Mitaka, Tokyo 181-8588 (Japan)], E-mail: bpbowler@ifa.hawaii.edu, E-mail: william.waller@tufts.edu, E-mail: megeath@physics.utoledo.edu, E-mail: bpatten@nsf.gov, E-mail: motohide.tamura@nao.ac.jp

2009-03-15T23:59:59.000Z

125

2012 Census of Agriculture Underway Respond Now For many farmers across the nation, this is the time of year to finish paperwork after a busy  

E-Print Network [OSTI]

2012 Census of Agriculture Underway ­ Respond Now For many farmers across the nation. This makes it a perfect time to also fill out and return your 2012 Census of Agriculture form. The Census of Agriculture is sent to all farmers and ranchers only once every five years by USDA's National Agricultural

Watson, Craig A.

126

Report for Development of a Census Array and Evaluation of the Array to Detect Biothreat Agents and Environmental Samples for DHS  

SciTech Connect (OSTI)

The objective of this project is to provide DHS a comprehensive evaluation of the current genomic technologies including genotyping, Taqman PCR, multiple locus variable tandem repeat analysis (MLVA), microarray and high-throughput DNA sequencing in the analysis of biothreat agents from complex environmental samples. This report focuses on the design, testing and results of samples on the Census Array. We designed a Census/Detection Array to detect all sequenced viruses (including phage), bacteria (eubacteria), and plasmids. Family-specific probes were selected for all sequenced viral and bacterial complete genomes, segments, and plasmids. Probes were designed to tolerate some sequence variation to enable detection of divergent species with homology to sequenced organisms, and to be unique relative to the human genome. A combination of 'detection' probes with high levels of conservation within a family plus 'census' probes targeting strain/isolate specific regions enabled detection and taxonomic classification from the level of family down to the strain. The array has wider coverage of bacterial and viral targets based on more recent sequence data and more probes per target than other microbial detection/discovery arrays in the literature. We tested the array with purified bacterial and viral DNA/RNA samples, artificial mixes of known bacterial/viral samples, spiked DNA against complex background including BW aerosol samples and soil samples, and environmental samples to evaluate the array's sensitivity and forensic capability. The data were analyzed using our novel maximum likelihood software. For most of the organisms tested, we have achieved at least species level discrimination.

Jaing, C; Jackson, P

2011-04-14T23:59:59.000Z

127

TOWARD A SPECTROSCOPIC CENSUS OF WHITE DWARFS WITHIN 40 pc OF THE SUN  

SciTech Connect (OSTI)

We present the preliminary results of a survey aimed at significantly increasing the range and completeness of the local census of spectroscopically confirmed white dwarfs. The current census of nearby white dwarfs is reasonably complete only to about 20 pc of the Sun, a volume that includes around 130 white dwarfs, a sample too small for detailed statistical analyses. This census is largely based on follow-up investigations of stars with very large proper motions. We describe here the basis of a method that will lead to a catalog of white dwarfs within 40 pc of the Sun and north of the celestial equator, thus increasing by a factor of eight the extent of the northern sky census. White dwarf candidates are identified from the SUPERBLINK proper motion database, allowing us to investigate stars down to a proper motion limit {mu} > 40 mas yr{sup -1}, while minimizing the kinematic bias for nearby objects. The selection criteria and distance estimates are based on a combination of color-magnitude and reduced proper motion diagrams. Our follow-up spectroscopic observation campaign has so far uncovered 193 new white dwarfs, among which we identify 127 DA (including 9 DA+dM and 4 magnetic), 1 DB, 56 DC, 3 DQ, and 6 DZ stars. We perform a spectroscopic analysis on a subsample of 84 DAs, and provide their atmospheric parameters. In particular, we identify 11 new white dwarfs with spectroscopic distances within 25 pc of the Sun, including five candidates to the D < 20 pc subset.

Limoges, M.-M.; Bergeron, P. [Departement de Physique, Universite de Montreal, C.P. 6128, Succ. Centre-Ville, Montreal, Quebec H3C 3J7 (Canada); Lepine, S., E-mail: limoges@astro.umontreal.ca, E-mail: bergeron@astro.umontreal.ca, E-mail: lepine@amnh.org [Department of Astrophysics, Division of Physical Sciences, American Museum of Natural History, Central Park West at 79th Street, New York, NY 1002 (United States)

2013-05-15T23:59:59.000Z

128

University of Saskatchewan Student Entrance Census, 2013 Published July, 2014 Contact: University Learning Centre ulc_surveys@usask.ca  

E-Print Network [OSTI]

University of Saskatchewan Student Entrance Census, 2013 Published July, 2014 their first-year of studies at the University of Saskatchewan to complete a series Percentage Count Saskatoon 28% 826 In a Saskatchewan city with population

Peak, Derek

129

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

SciTech Connect (OSTI)

The Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socio-economic and geographic data files which are available to CEDR and PAREP collaborators via LBL's computing network. At this time 70 CD-ROM diskettes (approximately 36 gigabytes) are on line via the Unix file server cedrcd. lbl. gov. Most of the files are from the US Bureau of the Census, and most pertain to the 1990 Census of Population and Housing. All the CD-ROM diskettes contain documentation in the form of ASCII text files. Printed documentation for most files is available for inspection at University of California Data and Technical Assistance (UC DATA), or the UC Documents Library. Many of the CD-ROM diskettes distributed by the Census Bureau contain software for PC compatible computers, for easily accessing the data. Shared access to the data is maintained through a collaboration among the CEDR and PAREP projects at LBL, and UC DATA, and the UC Documents Library. Via the Sun Network File System (NFS), these data can be exported to Internet computers for direct access by the user's application program(s).

Merrill, D.W.

1992-10-01T23:59:59.000Z

130

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

SciTech Connect (OSTI)

The Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socio-economic and geographic data files which are available to CEDR and PAREP collaborators via LBL`s computing network. At this time 70 CD-ROM diskettes (approximately 36 gigabytes) are on line via the Unix file server cedrcd. lbl. gov. Most of the files are from the US Bureau of the Census, and most pertain to the 1990 Census of Population and Housing. All the CD-ROM diskettes contain documentation in the form of ASCII text files. Printed documentation for most files is available for inspection at University of California Data and Technical Assistance (UC DATA), or the UC Documents Library. Many of the CD-ROM diskettes distributed by the Census Bureau contain software for PC compatible computers, for easily accessing the data. Shared access to the data is maintained through a collaboration among the CEDR and PAREP projects at LBL, and UC DATA, and the UC Documents Library. Via the Sun Network File System (NFS), these data can be exported to Internet computers for direct access by the user`s application program(s).

Merrill, D.W.

1992-10-01T23:59:59.000Z

131

Interfacing 1990 US Census TIGER map files with New S graphics software. [Topologically Integrated Geographic Encoding and Referencing (TIGER)  

SciTech Connect (OSTI)

In 1990, the United States Bureau of the Census released detailed geographic base files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing) which contain detail on the physical features and census tract boundaries of every county in the United States. The TIGER database is attractive for two reasons. First, it is publicly available through the Bureau of the Census on tape or cd-rom for a minimal fee. Second, it contains 24 billion characters of data which describe geographic features of interest to the Census Bureau such as coastlines, hydrography, transportation networks, political boundaries, etc. Unfortunately, the large TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. On the other hand New S, a popular statistical software package by AT T, has easily operated functions that permit advanced graphics in conjunction with data analysis. New S has the ability to plot contours, lines, segments, and points. However, of special interest is the New S function map and its options. Using the map function, which requires polygons as input, census tracts can be quickly selected, plotted, shaded, etc. New S graphics combined with the TIGER database has obvious potential. This paper reports on our efforts to use the TIGER map files with New S, especially to construct census tract maps of counties. While census tract boundaries are inherently polygonal, they are not organized as such in the TIGER database. This conversion of the TIGER line'' format into New S polygon/polyline'' format is one facet of the work reported here. Also we discuss the selection and extraction of auxiliary geographic information from TIGER files for graphical display using New S.

Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. (Lawrence Berkeley Lab., CA (United States) California Univ., Berkeley, CA (United States). School of Public Health)

1992-07-01T23:59:59.000Z

132

Public census data on CD-ROM at Lawrence Berkeley Laboratory  

SciTech Connect (OSTI)

The Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socioeconomic and geographic data files which are available to CEDR and PAREP collaborators via LBL's computing network. At this time 72 CD-ROM diskettes (approximately 37 gigabytes) are on line via the Unix file server cedrcd.lbl.gov''. Most of the files are from the US Bureau of the Census, and many of these pertain to the 1990 Census of Population and Housing. All the CD-ROM diskettes contain documentation in the form of ASCII text files. In addition, printed documentation for most files is available for inspection at University of California Data and Technical Assistance (UC DATA), tel. (510) 642-6571, or the UC Documents Library, tel. (510) 642-2569, both located on the UC Berkeley Campus. Many of the CD-ROM diskettes distributed by the Census Bureau contain software for PC compatible computers, for easily accessing the data. Shared access to the data is maintained through a collaboration among the CEDR and PAREP projects at LBL, and UC DATA, and the UC Documents Library. LBL is grateful to UC DATA and the UC Documents Library for the use of their CD-ROM diskettes. Shared access to LBL facilities may be restricted in the future if costs become prohibitive. Via the Sun Network File System (NFS), these data can be exported to Internet computers for direct access by the user's application program(s). Due to the size of the files, this access method is preferred over File Transfer Protocol (FTP) access. Please contact Deane Merrill (dwmerrill lbl.gov) if you wish to make use of the data.

Merrill, D.W.

1993-01-16T23:59:59.000Z

133

Public census data on CD-ROM at Lawrence Berkeley Laboratory. Revision 3  

SciTech Connect (OSTI)

The Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socioeconomic and geographic data files which are available to CEDR and PAREP collaborators via LBL`s computing network. At this time 72 CD-ROM diskettes (approximately 37 gigabytes) are on line via the Unix file server ``cedrcd.lbl.gov``. Most of the files are from the US Bureau of the Census, and many of these pertain to the 1990 Census of Population and Housing. All the CD-ROM diskettes contain documentation in the form of ASCII text files. In addition, printed documentation for most files is available for inspection at University of California Data and Technical Assistance (UC DATA), tel. (510) 642-6571, or the UC Documents Library, tel. (510) 642-2569, both located on the UC Berkeley Campus. Many of the CD-ROM diskettes distributed by the Census Bureau contain software for PC compatible computers, for easily accessing the data. Shared access to the data is maintained through a collaboration among the CEDR and PAREP projects at LBL, and UC DATA, and the UC Documents Library. LBL is grateful to UC DATA and the UC Documents Library for the use of their CD-ROM diskettes. Shared access to LBL facilities may be restricted in the future if costs become prohibitive. Via the Sun Network File System (NFS), these data can be exported to Internet computers for direct access by the user`s application program(s). Due to the size of the files, this access method is preferred over File Transfer Protocol (FTP) access. Please contact Deane Merrill (dwmerrill@lbl.gov) if you wish to make use of the data.

Merrill, D.W.

1993-01-16T23:59:59.000Z

134

Public census data on CD-ROM at Lawrence Berkeley Laboratory. Revision 4  

SciTech Connect (OSTI)

The Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socioeconomic and geographic data files which are available to CEDR and PAREP collaborators via LBL`s computing network. At this time 89 CD-ROM diskettes (approximately 45 gigabytes) are on line via the Unix file server cedrcd.lbl.gov. Most of the files are from the US Bureau of the Census, and many of these pertain to the 1990 Census of Population and Housing. All the CD-ROM diskettes contain documentation in the form of ASCII text files. In addition, printed documentation for most files is available for inspection at University of California Data and Technical Assistance (UC DATA), tel. (510) 642-6571, or the UC Documents Library, tel. (510) 642-2569, both located on the UC Berkeley Campus. Many of the CD-ROM diskettes distributed by the Census Bureau contain software for PC compatible computers, for easily accessing the data. Shared access to the data is maintained through a collaboration among the CEDR and PAREP projects at LBL, and UC DATA, and the UC Documents Library. LBL is grateful to UC DATA and the UC Documents Library for the use of their CD-ROM diskettes. Shared access to LBL facilities may be restricted in the future if costs become prohibitive. Via the Sun Network File System (NFS), these data can be exported to Internet computers for direct access by the user`s application program(s). Due to the size of the files, this access method is preferred over File Transfer Protocol (FTP) access.

Merrill, D.W.

1993-03-12T23:59:59.000Z

135

Data:56c23a6f-a052-4dff-86b3-9b3bdb7c216e | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6 No revisionc8de9b501c3dd65b9388ca Nodf-c00bda3635a4 No revision

136

Data:9b3b525f-0017-4495-ba86-8b3ef3c72c3d | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 Nod2db5b31cb44 No revision has been approved for thisa44928f0654 No revisione806e466-8b3ef3c72c3d No

137

4B.3 The Sounding Analog Retrieval System (SARS) Ryan Jewell1  

E-Print Network [OSTI]

that are determined from a calibration process. For severe hail, SARS has been designed to forecast the probability4B.3 The Sounding Analog Retrieval System (SARS) Ryan Jewell1 Storm Prediction Center, Norman, OK 1 System (SARS) is a forecasting algorithm that uses sounding derived parameters to find historical severe

138

A CENSUS OF LONG STAY PATIENTS IN GOVERNMENT MENTAL HOSPITALS IN INDIA  

E-Print Network [OSTI]

A single day census found that long-stay patients (LSP) numbering 7,307 accounted for about 48 % of the total inpatient strength of 15,345 in government mental hospitals in India. A load of 2695 (37%) LSP were in two to five years duration of stay, 2782 (38%) were in five to fifteen years duration of stay, and the remaining 1830 (25%) were staying for more than fifteen years. About 11 % of LSP were aged sixty years and above, majority (53%) were males, non-voluntary cases constituted 80%. and more than two-thirds (69%) were schizophrenics. The characteristics distributions associated with high rates of LSP at individual hospitals were identified. The load of LSP was decreased by 9 % during the period from 1993 to 1999. Key words: Census, long-stay patients, government mental hospitals, national indicators Sufficient data on long-stay patients (LSP) in government mental hospitals were lacking in India, though certain informations about some individual hospitals or a small group of hospitals have been reported (Sathyavathi and

M. Venkataswamy Reddy

139

EPA Air DOCKET NO: A-98-49; II-B3-129; September 2014 DOCKET NO: A-98-49 Item: II-B3-129  

E-Print Network [OSTI]

EPA Air DOCKET NO: A-98-49; II-B3-129; September 2014 DOCKET NO: A-98-49 Item: II-B3-129 Subpart PROTECTION AGENCY Office of Radiation and Indoor Air Center for Waste Management and Federal Regulation 1200 Pennsylvania Avenue, NW Washington, DC 20460 September 2014 #12;EPA Air DOCKET NO: A-98-49; II-B3

140

"Table HC10.1 Housing Unit Characteristics by U.S. Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total

Note: This page contains sample records for the topic "b3 census region" 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

"Table HC10.10 Home Appliances Usage Indicators by U.S. Census Regions, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total0 Home

142

"Table HC10.11 Home Electronics Characteristics by U.S. Census Regions, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total0 Home1 Home

143

"Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total0 Home1

144

"Table HC10.13 Lighting Usage Indicators by U.S. Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total0 Home13

145

"Table HC10.2 Living Space Characteristics by U.S. Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total0 Home132

146

"Table HC10.4 Space Heating Characteristics by U.S. Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total0 Home1324

147

"Table HC10.5 Space Heating Usage Indicators by U.S. Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total0 Home13245

148

"Table HC10.6 Air Conditioning Characteristics by U.S. Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total0 Home132456

149

"Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total0

150

"Table HC10.8 Water Heating Characteristics by U.S. Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total08 Water

151

"Table HC10.9 Home Appliances Characteristics by U.S. Census Regions, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total08 Water0.9

152

"Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total08 Water0.90

153

"Table HC11.12 Home Electronics Usage Indicators by Northeast Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total082 Home

154

"Table HC11.5 Space Heating Usage Indicators by Northeast Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total082 Home3245

155

"Table HC11.7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total0827

156

"Table HC12.10 Home Appliances Usage Indicators by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total082780 Home

157

"Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total082780

158

"Table HC12.5 Space Heating Usage Indicators by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total0827803245

159

"Table HC12.7 Air-Conditioning Usage Indicators by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total082780324567

160

"Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home Housing0

Note: This page contains sample records for the topic "b3 census region" 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

"Table HC13.5 Space Heating Usage Indicators by South Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home2 Living45

162

"Table HC13.7 Air-Conditioning Usage Indicators by South Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home27

163

"Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home2780 Home

164

"Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home2780

165

"Table HC14.5 Space Heating Usage Indicators by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home27803245

166

"Table HC14.7 Air-Conditioning Usage Indicators by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status2.9 Home2780324567

167

"Table A3. Total Primary Consumption of Combustible Energy for Nonfuel Purposes by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table2" " (Estimates

168

"Table A41. Average Prices of Selected Purchased Energy Sources by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table2"1" "

169

"Table A41. Average Prices of Selected Purchased Energy Sources by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table2"1" "2"

170

State Environmental Policy Act (SEPA) Environmental Checklist Form 216-B-3 Expansion Ponds Closure Plan. Revision 1  

SciTech Connect (OSTI)

The 216-B-3 Expansion Ponds Closure Plan (Revision 1) consists of a Part A Dangerous Waste Permit Application and a Resource Conservation and Recovery Act Closure Plan. An explanation of the Part A submitted with this document is provided at the beginning of the Part A Section. The closure plan consists of nine chapters and five appendices. The 216-B-3 Pond System consists of a series of four earthen, unlined, interconnected ponds and the 216-B-3-3 Ditch that receive waste water from various 200 East Area operating facilities. These four ponds, collectively. Waste water (primarily cooling water, steam condensate, and sanitary water) from various 200 East Area facilities is discharged to the 216-B-3-3 Ditch. Water discharged to the 216-8-3-3 Ditch flows directly into the 216-B-3 Pond. In the past, waste water discharges to B Pond and the 216-B-3-3 Ditch contained mixed waste (radioactive waste and dangerous waste). The radioactive portion of mixed waste has been interpreted by the US Department of Energy (DOE) to be regulated under the Atomic Energy Act of 1954; the nonradioactive dangerous portion of mixed waste is regulated under RCRA. Mixed waste also may be considered a hazardous substance under the Comprehensive Environmental Response, Compensation, and Liability Act of 1980 (CERCLA) when considering remediation of waste sites.

Not Available

1993-12-01T23:59:59.000Z

171

GL(3,C) Invariance of Type B 3-fold Supersymmetric Systems  

E-Print Network [OSTI]

Type B 3-fold supersymmetry is a necessary and sufficient condition for a quantum Hamiltonian to admit three linearly independent local solutions in closed form. We show that any such a system is invariant under GL(3,C) homogeneous linear transformations. In particular, we prove explicitly that the parameter space is transformed as an adjoint representation of it and that every coefficient of the characteristic polynomial appeared in 3-fold superalgebra is algebraic invariants. In the type A case, it includes as a subgroup the GL(2,C) linear fractional transformation studied in the literature. We argue that any N-fold supersymmetric system has a GL(N,C) invariance for an arbitrary integral N.

Tanaka, Toshiaki

2013-01-01T23:59:59.000Z

172

GL(3,C) Invariance of Type B 3-fold Supersymmetric Systems  

E-Print Network [OSTI]

Type B 3-fold supersymmetry is a necessary and sufficient condition for a quantum Hamiltonian to admit three linearly independent local solutions in closed form. We show that any such a system is invariant under GL(3,C) homogeneous linear transformations. In particular, we prove explicitly that the parameter space is transformed as an adjoint representation of it and that every coefficient of the characteristic polynomial appeared in 3-fold superalgebra is algebraic invariants. In the type A case, it includes as a subgroup the GL(2,C) linear fractional transformation studied in the literature. We argue that any N-fold supersymmetric system has a GL(N,C) invariance for an arbitrary integral N.

Toshiaki Tanaka

2013-12-03T23:59:59.000Z

173

GL(3,C) invariance of type B 3-fold supersymmetric systems  

SciTech Connect (OSTI)

Type B 3-fold supersymmetry is a necessary and sufficient condition for a quantum Hamiltonian to admit three linearly independent local solutions in closed form. We show that any such a system is invariant under GL(3,C) homogeneous linear transformations. In particular, we prove explicitly that the parameter space is transformed as an adjoint representation of it and that every coefficient of the characteristic polynomial appeared in 3-fold superalgebra is algebraic invariants. In the type A case, it includes as a subgroup the GL(2,C) projective transformation studied in the literature. We argue that any N-fold supersymmetric system has a GL(N,C) invariance for an arbitrary integral N.

Tanaka, Toshiaki, E-mail: tanaka.toshiaki@ocha.ac.jp [Department of Physics, Faculty of Science, Ochanomizu University, 2-1-1 Ohtsuka, Bunkyo-ku, Tokyo 112-8610 (Japan)] [Department of Physics, Faculty of Science, Ochanomizu University, 2-1-1 Ohtsuka, Bunkyo-ku, Tokyo 112-8610 (Japan)

2014-02-15T23:59:59.000Z

174

The magnetic field of the B3V star 16 Pegasi  

E-Print Network [OSTI]

The Slowly Pulsating B3V star 16 Pegasi was discovered by Hubrig (2006) to be magnetic, based on low-resolution spectropolarimetric observations with FORS1 at the VLT. We have confirmed the presence of a magnetic field with new measurements with the spectropolarimeters Narval at TBL, France and Espadons at CFHT, Hawaii during 2007. The most likely period is about 1.44 d for the modulation of the field, but this could not be firmly established with the available data set. No variability has been found in the UV stellar wind lines. Although the star was reported once to show H alpha in emission, there exists at present no confirmation that the star is a Be star.

Henrichs, H F; Schnerr, R S; Verdugo, E; Alecian, A; Catala, C; Cochard, F; Gutiérrez, J; Huat, A -L; Silvester, J; Thizy, O

2008-01-01T23:59:59.000Z

175

Ground water impact assessment report for the 216-B-3 Pond system  

SciTech Connect (OSTI)

Ground water impact assessments were required for a number of liquid effluent receiving sites according to the Hanford Federal Facility Agreement and Consent Order Milestones M-17-00A and M-17-00B, as agreed upon by the US Department of Energy. This report is one of the last three assessments required and addresses the impact of continued discharge of uncontaminated wastewater to the 216-B-3C expansion lobe of the B Pond system in the 200 East Area until June 1997. Evaluation of past and projected effluent volumes and composition, geohydrology of the receiving site, and contaminant plume distribution patterns, combined with ground water modeling, were used to assess both changes in ground water flow regime and contaminant-related impacts.

Johnson, V.G.; Law, A.G.; Reidel, S.P.; Evelo, S.D.; Barnett, D.B.; Sweeney, M.D.

1995-01-01T23:59:59.000Z

176

Biosafety Inspection Protocol In accordance with best practices and National Institutes of Health (NIH) guidelines section IV-B-3-c-(1), periodic  

E-Print Network [OSTI]

of Health (NIH) guidelines section IV-B-3-c-(1), periodic inspections and re-inspections by the University

177

Groundwater Monitoring Plan for the Hanford Site 216-B-3 Pond RCRA Facility  

SciTech Connect (OSTI)

The 216-B-3 Pond system was a series of ponds used for disposal of liquid effluent from past Hanford production facilities. In operation from 1945 to 1997, the B Pond System has been a Resource Conservation and Recovery Act (RCRA) facility since 1986, with RCRA interim-status groundwater monitoring in place since 1988. In 1994 the expansion ponds of the facility were clean closed, leaving only the main pond and a portion of the 216-B-3-3 ditch as the currently regulated facility. In 2001, the Washington State Department of Ecology (Ecology) issued a letter providing guidance for a two-year, trial evaluation of an alternate, intrawell statistical approach to contaminant detection monitoring at the B Pond system. This temporary variance was allowed because the standard indicator-parameters evaluation (pH, specific conductance, total organic carbon, and total organic halides) and accompanying interim status statistical approach is ineffective for detecting potential B-Pond-derived contaminants in groundwater, primarily because this method fails to account for variability in the background data and because B Pond leachate is not expected to affect the indicator parameters. In July 2003, the final samples were collected for the two-year variance period. An evaluation of the results of the alternate statistical approach is currently in progress. While Ecology evaluates the efficacy of the alternate approach (and/or until B Pond is incorporated into the Hanford Facility RCRA Permit), the B Pond system will return to contamination-indicator detection monitoring. Total organic carbon and total organic halides were added to the constituent list beginning with the January 2004 samples. Under this plan, the following wells will be monitored for B Pond: 699-42-42B, 699-43-44, 699-43-45, and 699-44-39B. The wells will be sampled semi-annually for the contamination indicator parameters (pH, specific conductance, total organic carbon, and total organic halides) and annually for water quality parameters (chloride, iron, manganese, phenols, sodium, and sulfate). This plan will remain in effect until superseded by another plan or until B Pond is incorporated into the Hanford Facility RCRA Permit.

Barnett, D BRENT.; Smith, Ronald M.; Chou, Charissa J.; McDonald, John P.

2005-11-01T23:59:59.000Z

178

A CENSUS OF STAR-FORMING GALAXIES AT z = 1-3 IN THE SUBARU DEEP FIELD  

SciTech Connect (OSTI)

Several UV and near-infrared color selection methods have identified galaxies at z = 1-3. Since each method suffers from selection biases, we have simultaneously applied three leading techniques (Lyman break, BX/BM, and BzK selection) in the Subaru Deep Field. This field has reliable ({Delta}z/(1 + z) = 0.02-0.09) photometric redshifts for {approx}53,000 galaxies from 20 bands (1500 A-2.2 {mu}m). The BzK, LBG, and BX/BM samples suffer contamination from z < 1 interlopers of 6%, 8%, and 20%, respectively. Around the redshifts where it is most sensitive (z {approx} 1.9 for star-forming BzK, z {approx} 1.8 for z {approx} 2 LBGs, z {approx} 1.6 for BM, and z {approx} 2.3 for BX), each technique finds 60%-80% of the census of the three methods. In addition, each of the color techniques shares 75%-96% of its galaxies with another method, which is consistent with previous studies that adopt identical criteria on magnitudes and colors. Combining the three samples gives a comprehensive census that includes {approx}90% of z{sub phot} = 1-3 galaxies, using standard magnitude limits similar to previous studies. In fact, we find that among z = 1-2.5 galaxies in the color selection census, 81%-90% of them can be selected by just combining the BzK selection with one of the UV techniques (z {approx} 2 LBG or BX and BM). The average galaxy stellar mass, reddening, and star formation rates (SFRs) all decrease systematically from the sBzK population to the LBGs, and to the BX/BMs. The combined color selections yield a total cosmic SFR density of 0.18 {+-} 0.03 M{sub sun} yr{sup -1} Mpc{sup -3} for K{sub AB} {approx}< 24. We find that 65% of the star formation is in galaxies with E(B - V) > 0.25 mag, even though they are only one-fourth of the census by number.

Ly, Chun; Malkan, Matthew A. [Department of Physics and Astronomy, UCLA, Box 951547, Los Angeles, CA (United States); Hayashi, Masao; Shimasaku, Kazuhiro [Department of Astronomy, School of Science, University of Tokyo, Bunkyo, Tokyo (Japan); Motohara, Kentaro [Institute of Astronomy, University of Tokyo, Mitaka, Tokyo (Japan); Kashikawa, Nobunari [Optical and Infrared Astronomy Division, National Astronomical Observatory, Mitaka, Tokyo (Japan); Nagao, Tohru [The Hakubi Project, Kyoto University, Kyoto (Japan); Grady, Celestine, E-mail: chunly@stsci.edu [Department of Applied Science, UC Davis, Davis, CA (United States)

2011-07-10T23:59:59.000Z

179

Abstract ID: WED-AM-B3 Use of ion beam analysis techniques to characterise iron corrosion  

E-Print Network [OSTI]

Abstract ID: WED-AM-B3 Use of ion beam analysis techniques to characterise iron corrosion under 12 MeV proton irradiation on the corrosion behaviour of pure iron. Oxygen and hydrogen playing a crucial role during the corrosion process have been specifically investigated. Heavy desaerated water

Paris-Sud XI, Université de

180

Annual Meeting of Energy Recovery Council, W hi DC D b 3 2011Washington DC, December 3. 2011  

E-Print Network [OSTI]

Annual Meeting of Energy Recovery Council, W hi DC D b 3 2011Washington DC, December 3. 2011 to the recyclers (e.g. metal smelters; secondary paper mills).(e.g. metal smelters; secondary paper mills). All, recovery (called WastetoEnergy; WTE) gy, , y ( gy; ) · All countries (and communities) who rely on WTE also

Columbia University

Note: This page contains sample records for the topic "b3 census region" 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

A census of precipitation features in the tropics using TRMM: radar, ice scattering, and lightning observations  

E-Print Network [OSTI]

and two ocean regions during August, September and October 1998, this study used radar retrievals and 85 GHz Polarization Corrected Temperatures (PCTs, which passively measure relative concentrations of precipitation-sized ice particles within a cloud...

Nesbitt, Stephen William

1999-01-01T23:59:59.000Z

182

Data:Dd421e92-b3b3-44d5-8e6a-5db40d2fe654 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 NoDce066cd-9c07-4949-aa43-5e5007829464 No revision has been approved forDd421e92-b3b3-44d5-8e6a-5db40d2fe654

183

ABSORPTION PHOTOLECTRIQUE DES RAYONS 03B3 DANS LA COUCHE L DES ATOMES Par Mme NADINE MARTY.  

E-Print Network [OSTI]

401. ABSORPTION PHOTO�LECTRIQUE DES RAYONS 03B3 DANS LA COUCHE L DES ATOMES Par Mme NADINE MARTY la suite, comme la section efficace totale d'absorption photoélectrique par atome. Les résultats de. Laboratoire dé Chimie nucléaire, Collège de France. Sommaire. - On rappelle la valeur des sections efficaces d'absorption

Boyer, Edmond

184

Health Data Available at the Chicago Census RDC Confidential (restricted-use) versions of NCHS and AHRQ data are available to qualified  

E-Print Network [OSTI]

: · Examining how the provisions of care through health care safely nets affect health outcomes for children1 Health Data Available at the Chicago Census RDC Confidential (restricted-use) versions of NCHS RDC) located at the Federal Reserve Bank of Chicago.1 Confidential versions of health data include

Illinois at Chicago, University of

185

TUDE DES CASCADES 03B3201403B3 DANS LA CAPTURE DE NEUTRONS THERMIQUES CONDUISANT AU PREMIER TAT EXCIT DE 200Hg  

E-Print Network [OSTI]

on 03B3 2014 03B3 cascades which go down from the capturing state to the first excited state. LE JOURNAL montre que l'utilisation de la m6thode de Hoogenboom permettait l'emploi de cristaux d'iodure de sodium celles qui aboutissent aux premiers et second niveaux excites par exemple,. surtout si les intensites des

Paris-Sud XI, Université de

186

Volatile Magnesium Octahydrotriborate Complexes as Potential CVD Precursors to MgB2. Synthesis and Characterization of Mg(B3H8)2 and  

E-Print Network [OSTI]

-state reaction of MgBr2 and NaB3H8 at 20 °C, followed by sublimation at 80 °C and 0.05 Torr, affords Mg(B3H8.uiuc.edu. Department of Chemistry. Department of Materials Science and Engineering. (1) Nagamatsu, J.; Nakagawa, N

Girolami, Gregory S.

187

Data:Da6e1df5-02cb-47b1-b3c5-572e8b3c35e4 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision has beenadf9-4884-b0c1-529b3bb19f9c No2-d6f420785d1df5-ed03de31295e No revision

188

Negative Baryon density and the Folding structure of the B=3 Skyrmion  

E-Print Network [OSTI]

The Skyrme model is a non-linear field theory whose solitonic solutions, once quantised, describe atomic nuclei. The classical static soliton solutions, so-called Skyrmions, have interesting discrete symmetries and can only be calculated numerically. Mathematically, these Skyrmions can be viewed as maps between to two three-manifolds and, as such, their stable singularities can only be folds, cusps and swallowtails. Physically, the occurrence of singularities is related to negative baryon density. In this paper, we calculate the charge three Skyrmion to a high resolution in order to examine its singularity structure in detail. Thereby, we explore regions of negative baryon density. We also discuss how the negative baryon density depends on the pion mass.

David Foster; Steffen Krusch

2013-01-17T23:59:59.000Z

189

Consumer Attitudes About Renewable Energy: Trends and Regional Differences  

SciTech Connect (OSTI)

The data in this report are taken from Natural Marketing Institute's (NMI's) Lifestyles of Health and Sustainability Consumer Trends Database. Created in 2002, the syndicated consumer database contains responses from 2,000 to 4,000 nationally representative U.S. adults (meaning the demographics of the sample are consistent with U.S. Census findings) each year. NMI used the database to analyze consumer attitudes and behavior related to renewable energy and to update previously conducted related research. Specifically, this report will explore consumer awareness, concerns, perceived benefits, knowledge of purchase options, and usage of renewable energy as well as provide regional comparisons and trends over time.

Natural Marketing Institute, Harleysville, Pennsylvania

2011-04-01T23:59:59.000Z

190

COUP census of X-ray stars in BN-KL and OMC-1S  

E-Print Network [OSTI]

We present a study of the X-ray sources detected in the vicinity of two density peaks in the Orion Molecular Cloud 1 (OMC-1) behind the Orion Nebula Cluster (ONC), as seen in the exceptionally deep (~10 days) exposure of the Chandra Orion Ultradeep Project (COUP). We focus on a 40"*50" region around the Becklin-Neugebauer object and Kleinmann-Low nebula (collectively BN-KL) and a 60"*75" region around OMC-1S, a secondary star-forming peak some 90" south of BN-KL. Forty-three and sixty X-ray sources were detected in BN-KL and OMC-1S, respectively, of which half and one-third, respectively, were found to be foreground members of the ONC, while the remaining sources are identified as obscured X-ray sources with column densities 22stars rather than wind emission from massive stars, suggesting that the X-ray emission may be arising from companions. The X-ray light curve of the X-ray source close to BN shows a periodicity of ~8.3 days and from an X-ray image deconvolution of the region around BN, we conclude that either BN itself or a low mass companion with a projected separation of ~200 AU was detected. On the other hand, no emission is seen from the bright radio Source I, held by some to be the main source of luminosity in BN-KL. In OMC-1S, Chandra unveils a new subcluster of seven YSOs without infrared counterparts (abridged).

N. Grosso; E. D. Feigelson; K. V. Getman; L. Townsley; P. Broos; E. Flaccomio; M. J. McCaughrean; G. Micela; S. Sciortino; J. Bally; N. Smith; A. A. Muench; G. P. Garmire; F. Palla

2005-04-08T23:59:59.000Z

191

Data:751c4f7b-5378-47ec-b3cf-559976240833 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has6a0216321b No revision has6dcc3af95b Noda29209151a4826c6b3d No revision has

192

Data:565dea25-5744-48e6-9536-b3b2d3370283 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6 No revisionc8de9b501c3

193

Data:93705a61-c435-42b3-bf48-4308c6948eed | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revisione0a2d50bdf35248292f1 No revision hascbfc79d6989 No46af9bf1038a-3505f52574b3

194

A Census of the Carina Nebula. I: Cumulative Energy Input from Massive Stars  

E-Print Network [OSTI]

(abridged) The Carina Nebula (NGC 3372) is our richest nearby laboratory in which to study feedback through UV radiation and stellar winds from very massive stars during the formation of an OB association before supernova explosions have influenced the environment. This paper takes inventory of the combined effect from all the known massive stars that power the Carina Nebula. The present-day total ionizing photon luminosity produced by the 65 O stars and 3 WNL stars in Carina is about 1e51/s, the total bolometric luminosity of all stars earlier than B2 is 2.5e7 Lsun, and the total mechanical luminosity of stellar winds is about 1e5 Lsun. The total ionizing flux was about 25 per cent higher when eta Car was on the main sequence, before it and its companion were surrounded by its obscuring dust shell, and when the 3 WNL stars were on the main sequence. For the first 3 Myr, the net ionizing flux of the 70 O-type stars in Carina was about 150 times greater than in the Orion Nebula. About 400-500 Msun has been contributed to the region by stellar wind mass loss during the past 3 Myr. The net ionizing flux and mechanical luminosity are also given for the individual clusters Tr14, 15, and 16, and Bo10 and 11, which are relevant on smaller spatial scales.

Nathan Smith

2006-01-04T23:59:59.000Z

195

Electronic structure and phase stability of MgTe, ZnTe, CdTe, and their alloys in the B3, B4, and B8 structures  

E-Print Network [OSTI]

Aron Walsh and Su-Huai Wei National Renewable Energy Laboratory, Golden, Colorado 80401, USA ReceivedTe. However, the Mg,Zn Te alloy undergoes a B3 to B4 transition above 88% Mg concentration and a B4 to B8 transition above 95% Mg concentration. For Mg,Cd Te, a B3 to B4 transition is predicted above 80% Mg content

Gong, Xingao

196

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

1 Air Conditioning in Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific Census...

197

"Table HC11.7 Air-Conditioning Usage Indicators by Northeast...  

U.S. Energy Information Administration (EIA) Indexed Site

7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census...

198

b3.pdf  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion Cubic Feet)Wyoming (Million67,338Space Heating64,783Cooled

199

b3.xls  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion Cubic Feet)Wyoming (Million67,338Space

200

b3.xls  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion Cubic Feet)Wyoming (Million67,338Space Released: Dec 2006

Note: This page contains sample records for the topic "b3 census region" 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

Rutgers Regional Report # Regional Report  

E-Print Network [OSTI]

, population, income, and building permits over a 32-year period from 1969 to 2001 for the 31-county Tri counties of the Tri-State (Connecticut, New Jersey, and New York) Region have been divided for analytical the nation and the Tri-State Region. What has not been fully documented, however, is the apparent shift

Garfunkel, Eric

202

Census Snapshot: Washington  

E-Print Network [OSTI]

households in the state. King County reported the most same-of same-sex couples are King County (1.09% of all county

Romero, Adam P.; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

2008-01-01T23:59:59.000Z

203

Census Snapshot: Virginia  

E-Print Network [OSTI]

City Isle of Wight County James City County King andQueen County KingGeorge County King William County Lancaster County Lee

Romero, Adam P.; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

2008-01-01T23:59:59.000Z

204

Census Snapshot: Oklahoma  

E-Print Network [OSTI]

McClain McCurtain McIntosh Major Marshall County Mayes Murray Muskogee Noble Nowata Okfuskee Oklahoma

Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

2008-01-01T23:59:59.000Z

205

Census Snapshot: West Virginia  

E-Print Network [OSTI]

WEST VIRGINIA Adam P. Romero, Public Policy Fellow Cliffordraising children in West Virginia. We compare same-sex “sex married couples in West Virginia. 1 JANUARY 2008 In many

Romero, Adam P.; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

2008-01-01T23:59:59.000Z

206

Louisiana Census Snapshot: 2010  

E-Print Network [OSTI]

City New Orleans Same-sex couples (adjusted) Same-sex couples per 1,000 households (adjusted) Lafayette Baton Rouge Lake Charles

Gates, Gary J.; Cooke, Abigail M.

2011-01-01T23:59:59.000Z

207

Census Snapshot: Colorado  

E-Print Network [OSTI]

COLORADO Adam P. Romero, Public Policy Fellow Clifford J.couples raising children in Colorado. We compare same-sex “sex married couples in Colorado. 1 APRIL 2008 In many ways,

Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

2008-01-01T23:59:59.000Z

208

Developing Livestock Facility Type Information from USDA Agricultural Census Data for Use in Epidemiological and Economic Models  

SciTech Connect (OSTI)

The epidemiological and economic modeling of livestock diseases requires knowing the size, location, and operational type of each livestock facility within the US. At the present time, the only national database of livestock facilities that is available to the general public is the USDA's 2002 Agricultural Census data, published by the National Agricultural Statistics Service, herein referred to as the 'NASS data.' The NASS data provides facility data at the county level for various livestock types (i.e., beef cows, milk cows, cattle on feed, other cattle, total hogs and pigs, sheep and lambs, milk goats, and angora goats). However, the number and sizes of facilities for the various livestock types are not independent since some facilities have more than one type of livestock, and some livestock are of more than one type (e.g., 'other cattle' that are being fed for slaughter are also 'cattle on feed'). In addition, any data tabulated by NASS that could identify numbers of animals or other data reported by an individual respondent is suppressed by NASS and coded with a 'D.'. To be useful for epidemiological and economic modeling, the NASS data must be converted into a unique set of facility types (farms having similar operational characteristics). The unique set must not double count facilities or animals. At the same time, it must account for all the animals, including those for which the data has been suppressed. Therefore, several data processing steps are required to work back from the published NASS data to obtain a consistent database for individual livestock operations. This technical report documents data processing steps that were used to convert the NASS data into a national livestock facility database with twenty-eight facility types. The process involves two major steps. The first step defines the rules used to estimate the data that is suppressed within the NASS database. The second step converts the NASS livestock types into the operational facility types used by the epidemiological and economic model. Comparison of the resulting database with an independent survey of farms in central California shows excellent agreement between the numbers of farms for the various facility types. This suggests that the NASS data are well suited for providing a consistent set of county-level information on facility numbers and sizes that can be used in epidemiological and economic models.

Melius, C; Robertson, A; Hullinger, P

2006-10-24T23:59:59.000Z

209

Data:55ca673e-8fba-4fc2-b8ec-108c9b3c0571 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6 No revisionc8de9b501c3 No revision has beend1d83401d Noec-108c9b3c0571

210

B3 Trains Problem Statement The train problem assumes a circular track 101 miles in circumference. The track is labeled clockwise in  

E-Print Network [OSTI]

B3 Trains ­ Problem Statement The train problem assumes a circular track 101 miles in circumference be at the same spot as mile 0. One train starts at mile 0 going clockwise, another train starts at mile 100 going counterclockwise. The program prompts for speeds of each train in mph. The output is the mile (or fraction

Huth, Michael

211

Regional Purchasing  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST3 AÇORIANONews Media » 2014 Regional

212

Data:58d1cb94-136f-4893-8746-6b3a72a9a41a | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6 No446b-9fca-d407954a4b84 Noaa727c9ff358b3a72a9a41a No revision has been

213

An X-ray Census of Young Stars in the Massive Southern Star-Forming Complex NGC 6357  

E-Print Network [OSTI]

We present the first high spatial resolution X-ray study of the massive star forming region NGC 6357, obtained in a 38 ks Chandra/ACIS observation. Inside the brightest constituent of this large HII region complex is the massive open cluster Pismis 24. It contains two of the brightest and bluest stars known, yet remains poorly studied; only a handful of optically bright stellar members have been identified. We investigate the cluster extent and Initial Mass Function and detect ~800 X-ray sources with a limiting sensitivity of 10^{30} ergs s^{-1}; this provides the first reliable probe of the rich intermediate-mass and low-mass population of this massive cluster, increasing the number of known members from optical study by a factor of ~50. The high luminosity end (log L_h[2-8 keV]\\ge 30.3 ergs s^{-1}) of the observed X-ray luminosity function in NGC 6357 is clearly consistent with a power law relation as seen in the Orion Nebula Cluster and Cepheus B, yielding the first estimate of NGC 6357's total cluster pop...

Wang, J; Feigelson, E D; Getman, K V; Broos, P S; Garmire, G P; Tsujimoto, M; Wang, Junfeng; Townsley, Leisa K.; Feigelson, Eric D.; Getman, Konstantin V.; Broos, Patrick S.; Garmire, Gordon P.; Tsujimoto, Masahiro

2006-01-01T23:59:59.000Z

214

Remaining Sites Verification Package for the 126-B-3, 184-B Coal Pit Dumping Area, Waste Site Reclassification Form 2005-028  

SciTech Connect (OSTI)

The 126-B-3 waste site is the former coal storage pit for the 184-B Powerhouse. During demolition operations in the 1970s, the site was used for disposal of demolition debris from 100-B/C Area facilities. The site has been remediated by removing debris and contaminated soils. The results of verification sampling demonstrated that residual contaminant concentrations do not preclude any future uses and allow for unrestricted use of shallow zone soils. The results also showed that residual contaminant concentrations are protective of groundwater and the Columbia River.

L. M. Dittmer

2006-08-07T23:59:59.000Z

215

Data:Ec9d1804-3594-46e8-a661-7b5dba04c4b3 | Open Energy Information  

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Data:F7513911-6922-46d8-9e77-dac4e175e7b3 | Open Energy Information  

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Note: This page contains sample records for the topic "b3 census region" 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
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221

Data:B278b711-feff-43d5-8240-65b3a9fe03c7 | Open Energy Information  

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Data:53d1ad27-017c-4bf1-bec2-dbadff79b3d2 | Open Energy Information  

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Data:54425ae7-112c-48b3-ba30-a585d6b13d82 | Open Energy Information  

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228

Data:54b3a1c6-efed-4204-b7f4-3c24c4646ab7 | Open Energy Information  

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Data:56719d93-8341-4b3d-b74a-16953e8071c6 | Open Energy Information  

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Data:587dc199-535a-45a1-8b3e-ac462faa3474 | Open Energy Information  

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Data:59f2947d-b055-420a-b3f8-e655655bcbcb | Open Energy Information  

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Data:5c5a93d7-9475-4efe-9e7b-750f2c41b3de | Open Energy Information  

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Data:604ed2b9-ae45-4e64-b028-62ac646b3aad | Open Energy Information  

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237

Data:07460713-1c57-417b-b2e5-b3d867141623 | Open Energy Information  

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Note: This page contains sample records for the topic "b3 census region" 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

Data:09a308dc-f51b-435e-b3a5-63071b19520b | Open Energy Information  

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Data:11ffcd81-3241-484a-b7b3-bac27985d9fd | Open Energy Information  

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Data:A64044db-dd8c-4dbb-9ec5-98b3d4e872cf | Open Energy Information  

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Data:Ccded227-5f73-4162-8b3b-54d5a004c5fe | Open Energy Information  

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Data:Cf23322d-3c8b-4637-91e0-54755b3e21f8 | Open Energy Information  

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Data:D8495d7d-adf9-4884-b0c1-529b3bb19f9c | Open Energy Information  

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Data:D8606b3d-8594-4138-bb89-a33c631cb915 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision has beenadf9-4884-b0c1-529b3bb19f9c No revision has been approved for this page.73f0f74dfd0

257

Data:D8e4c182-b3ce-4843-ae53-63dce5f78e35 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision has beenadf9-4884-b0c1-529b3bb19f9c No revision has been

258

Data:D8ffdbc4-216d-4947-b36c-3a4307b3f027 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision has beenadf9-4884-b0c1-529b3bb19f9c No revision has65f907b8e2bf No

259

Data:D985eb8b-185a-4e87-8359-9b3ae98bf957 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision has beenadf9-4884-b0c1-529b3bb19f9c No revisionfeb6-4f10-ba64-8ae4207cfab0 Nobf074d8181

260

Data:Dad129b9-9b3b-47d4-b57c-c966d520b49a | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision has beenadf9-4884-b0c1-529b3bb19f9cd74bee60 No revision6ff013033 No revision

Note: This page contains sample records for the topic "b3 census region" 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

Data:896db7d5-e1ce-43b2-9a68-d40b3d44e106 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revisione0a2d50bdf No revisionb27d098eef61148ac7f3f3e3da48 No revision has8-d40b3d44e106 No revision

262

Data:32123d2b-2f79-4cf6-b3c9-35e100df7956 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffe No869d7ced0c4 Noddb932b8a3f1f38825451 No revisioncfcc620802cf6-b3c9-35e100df7956 No

263

Data:32a0d700-fc02-424e-a93c-20c039f0b3ab | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffe No869d7ced0c4 Noddb932b8a3f1f38825451a93c-20c039f0b3ab No revision has been approved

264

Data:3a196224-1f61-4483-9fb9-0b57059ad0b3 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffef-15f046e6d97e No revision has7f7767f21828efbb1f78224b9a571 No revision has59ad0b3 No

265

An X-ray Census of Young Stars in the Massive Southern Star-Forming Complex NGC 6357  

E-Print Network [OSTI]

We present the first high spatial resolution X-ray study of the massive star forming region NGC 6357, obtained in a 38 ks Chandra/ACIS observation. Inside the brightest constituent of this large HII region complex is the massive open cluster Pismis 24. It contains two of the brightest and bluest stars known, yet remains poorly studied; only a handful of optically bright stellar members have been identified. We investigate the cluster extent and Initial Mass Function and detect ~800 X-ray sources with a limiting sensitivity of 10^{30} ergs s^{-1}; this provides the first reliable probe of the rich intermediate-mass and low-mass population of this massive cluster, increasing the number of known members from optical study by a factor of ~50. The high luminosity end (log L_h[2-8 keV]\\ge 30.3 ergs s^{-1}) of the observed X-ray luminosity function in NGC 6357 is clearly consistent with a power law relation as seen in the Orion Nebula Cluster and Cepheus B, yielding the first estimate of NGC 6357's total cluster population, a few times the known Orion population. We investigate the structure of the cluster, finding small-scale substructures superposed on a spherical cluster with 6 pc extent, and discuss its relationship to the nebular morphology. The long-standing Lx - 10^{-7}L_{bol} correlation for O stars is confirmed. Twenty-four candidate O stars and one possible new obscured massive YSO or Wolf-Rayet star are presented. Many cluster members are estimated to be intermediate-mass stars from available infrared photometry (assuming an age of 1 Myr), but only a few exhibit K-band excess. We report the first detection of X-ray emission from an Evaporating Gaseous Globule at the tip of a molecular pillar; this source is likely a B0-B2 protostar.

Junfeng Wang; Leisa K. Townsley; Eric D. Feigelson; Konstantin V. Getman; Patrick S. Broos; Gordon P. Garmire; Masahiro Tsujimoto

2006-09-11T23:59:59.000Z

266

Regional Summary Pacific Region Management Context  

E-Print Network [OSTI]

, for the Eastern Pacific Ocean, and the Western and Central Pacific Fishery Commission, for the Western PacificRegional Summary Pacific Region Management Context The Pacific Region includes California, Oregon, and Washington. Federal fisheries in this region are managed by the Pacific Fishery Management Council (PFMC

267

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect (OSTI)

The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-07-01T23:59:59.000Z

268

Housing Archetype Analysis for Home Energy-Efficient Retrofit in the Great Lakes Region  

SciTech Connect (OSTI)

This project report details activities and results of the 'Market Characterization' project undertaken by the Cost Effective Energy Retrofit (CEER) team targeted toward the DOE goal of achieving 30%-50% reduction in existing building energy use. CEER consists of members from the Dow Chemical Company, Michigan State University, Ferris State University and Habitat for Humanity Kent County. The purpose of this market characterization project was to identify housing archetypes which are dominant within Great Lakes region and therefore offer significant potential for energy-efficient retrofit research and implementation due to the substantial number of homes possessing similar characteristics. Understanding the characteristics of housing groups referred to as 'archetypes' by vintage, style, and construction characteristics can allow research teams to focus their retrofit research and develop prescriptive solutions for those structure types which are prevalent and offer high potential uptake within a region or market. Key research activities included; literature review, statistical analysis of national and regional data of the American Housing Survey (AHS) collected by the U.S. Census Bureau, analysis of Michigan specific data, development of a housing taxonomy of architectural styles, case studies of two local markets (i.e., Ann Arbor and Grand Rapids in Michigan) and development of a suggested framework (or process) for characterizing local markets. In order to gain a high level perspective, national and regional data from the U.S. Census Bureau was analyzed using cross tabulations, multiple regression models, and logistic regression to characterize the housing stock and determine dominant house types using 21 variables.

Kim, S. K.; Mrozowski, T.; Harrell-Seyburn, A.; Ehrlich, N.; Hembroff, L.; Bieburn, B.; Mazor, M.; McIntyre, A.; Mutton, C.; Parsons, G.; Syal, M. G.; Wilkinson, R.

2014-09-01T23:59:59.000Z

269

Data:Eab18dd4-f972-4058-93a1-20f8cbef15b3 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744b55997c1cc No revision hasa3e396ee3eb No revision hasa749-1d1f78c6b844 NoEab18dd4-f972-4058-93a1-20f8cbef15b3

270

Data:Ecc95e82-d30d-471e-b2ab-b3a465d824bd | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744b55997c1cc No revisionEc01d6d9-0b5c-46e0-8010-da811753d74aEcc95e82-d30d-471e-b2ab-b3a465d824bd No revision

271

Data:Ee9c21cb-9736-44f2-abc7-01f5202b3f8e | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744b55997c1cc NoEce78e10-0967-4d20-a270-53a70a3b054fea-bcbb-5891d5ff3462 Noc571b69806 Nof5202b3f8e No revision

272

Data:1fe29ef0-91ee-4ab5-924d-b3c7ea445dd6 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d No529a57c00c0 No revision has75f38de27dd-9676-67406d29c468d-b3c7ea445dd6

273

Data:22288681-0b93-441f-9f5b-acace650b3d1 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d No529a57c00c098f5e77d9 No revision hasc4a21a0d7463acace650b3d1 No revision

274

Data:B3f17be8-95d7-4b4b-999f-c032081647c3 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2 No revision has38865d08 No revision has been28a07c58 No55f15b30bB3f17be8-95d7-4b4b-999f-c032081647c3 No

275

Data:B3f329c6-e264-40fc-9654-fd8fd4c31cc1 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2 No revision has38865d08 No revision has been28a07c58 No55f15b30bB3f17be8-95d7-4b4b-999f-c032081647c3

276

Data:564b3987-48ee-4733-b3e6-64c7d7ec7b1c | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6 No revisionc8de9b501c3 No6341f5b1b4df6-8fe0-2b291cfd7670 No revision

277

Data:573337bb-ff80-4b3e-a79c-cecd0c3bb4b9 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6 No revisionc8de9b501c3dd65b9388caee096040 No5466c2006b40cecd0c3bb4b9 No

278

Data:58b7c2b3-aaf1-41ca-90a7-152657a899ba | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6 No446b-9fca-d407954a4b84 Noaa727c9ff358 Noa2f6f Nobbed-de2e0e8db023

279

Data:5acbb11c-56ee-4b94-b3d3-75098c839913 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6dbb-9d4f0845d437 No0-774918862a76 No revisiona2c4c7784ed-3c80c195f680

280

Data:5b3ac372-b008-43d4-8070-71a3a5b77d67 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6dbb-9d4f0845d4379-e4cca9d37856 No revision has been15196cfacb596c16a8c

Note: This page contains sample records for the topic "b3 census region" 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

Data:5c065d5f-bbe2-4b3a-938b-aebcae21a22d | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6dbb-9d4f0845d4379-e4cca9d37856a7f-18cd64fcfd48c8eaa60c13d8 No

282

Data:A4d07f95-ff35-4b7a-89b3-0242ed12688e | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 Nod2db5b31cb44 No revision-b209-069dd1fd7c05a97219c78401d-b420-d95a19f1b4285-4b7a-89b3-0242ed12688e No

283

Data:2d8ba163-bcc6-48fe-959f-3e119b3e1b24 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffe No revisionbeb-403f-b787-2700a3b20e2e No557a75c4 No48fe-959f-3e119b3e1b24 No revision

284

Northwest Regional Technology Center  

E-Print Network [OSTI]

Northwest Regional Technology Center for Homeland Security The Northwest Regional Technology Center and deployment of technologies that are effective homeland security solutions for the region, and accelerate technology transfer to the national user community. Foster a collaborative spirit across agencies

285

2014 REGIONAL ECONOMIC OUTLOOK  

E-Print Network [OSTI]

2014 REGIONAL ECONOMIC OUTLOOK #12;2014 REGIONAL ECONOMIC OUTLOOK 2014 Overview The Cincinnati USA Partnership for Economic Development and the Northern Kentucky Chamber of Commerce are pleased to present the 2014 Regional Economic Outlook. This report was prepared by the Cincinnati USA Partnership's Regional

Boyce, Richard L.

286

Census Snapshot: New York City  

E-Print Network [OSTI]

CITY AUGUST 2008 BROOKLYN (KINGS COUNTY) In 2000, there werecounty Borough/County Bronx Brooklyn (Kings) Manhattan (Neweach Borough/County children borough Bronx Brooklyn (Kings)

Romero, Adam P.; Gates, Gary J

2008-01-01T23:59:59.000Z

287

http://www.census.gov/  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA ReviewManual 8400 -Economic

288

Conservation Regional ConservationRegional Conservation  

E-Print Network [OSTI]

Northwest Power and Conservation Council Regional ConservationRegional Conservation Update and Conservation CouncilConservation Council January 24, 2007 #12;slide 2 Northwest Power and Conservation Council?"" #12;slide 3 Northwest Power and Conservation Council PNW Energy Efficiency AchievementsPNW Energy

289

CENSUS AND STATISTICAL CHARACTERIZATION OF SOIL AND WATER QUALITY AT ABANDONED AND OTHER CENTRALIZED AND COMMERCIAL DRILLING-FLUID DISPOSAL SITES IN LOUISIANA, NEW MEXICO, OKLAHOMA, AND TEXAS  

SciTech Connect (OSTI)

Commercial and centralized drilling-fluid disposal (CCDD) sites receive a portion of spent drilling fluids for disposal from oil and gas exploration and production (E&P) operations. Many older and some abandoned sites may have operated under less stringent regulations than are currently enforced. This study provides a census, compilation, and summary of information on active, inactive, and abandoned CCDD sites in Louisiana, New Mexico, Oklahoma, and Texas, intended as a basis for supporting State-funded assessment and remediation of abandoned sites. Closure of abandoned CCDD sites is within the jurisdiction of State regulatory agencies. Sources of data used in this study on abandoned CCDD sites mainly are permit files at State regulatory agencies. Active and inactive sites were included because data on abandoned sites are sparse. Onsite reserve pits at individual wells for disposal of spent drilling fluid are not part of this study. Of 287 CCDD sites in the four States for which we compiled data, 34 had been abandoned whereas 54 were active and 199 were inactive as of January 2002. Most were disposal-pit facilities; five percent were land treatment facilities. A typical disposal-pit facility has fewer than 3 disposal pits or cells, which have a median size of approximately 2 acres each. Data from well-documented sites may be used to predict some conditions at abandoned sites; older abandoned sites might have outlier concentrations for some metal and organic constituents. Groundwater at a significant number of sites had an average chloride concentration that exceeded nonactionable secondary drinking water standard of 250 mg/L, or a total dissolved solids content of >10,000 mg/L, the limiting definition for underground sources of drinking water source, or both. Background data were lacking, however, so we did not determine whether these concentrations in groundwater reflected site operations. Site remediation has not been found necessary to date for most abandoned CCDD sites; site assessments and remedial feasibility studies are ongoing in each State. Remediation alternatives addressed physical hazards and potential for groundwater transport of dissolved salt and petroleum hydrocarbons that might be leached from wastes. Remediation options included excavation of wastes and contaminated adjacent soils followed by removal to permitted disposal facilities or land farming if sufficient on-site area were available.

Alan R. Dutton; H. Seay Nance

2003-06-01T23:59:59.000Z

290

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

9 Fuels Used and End Uses in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

291

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

1 Computers and Other Electronics in Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census...

292

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

0 Computers and Other Electronics in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census...

293

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

9 Computers and Other Electronics in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

294

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

8 Computers and Other Electronics in Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census...

295

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

8 Air Conditioning in Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle...

296

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

0 Air Conditioning in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East...

297

" Million Housing Units, Final"  

U.S. Energy Information Administration (EIA) Indexed Site

9 Air Conditioning in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

298

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

9 Water Heating in U.S. Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

299

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

0 Water Heating in U.S. Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East...

300

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

11 Water Heating in U.S. Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific...

Note: This page contains sample records for the topic "b3 census region" 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

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

8 Water Heating in U.S. Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census...

302

Ultracompact HII Regions  

E-Print Network [OSTI]

We review some recent observational results on the properties of ultracompact HII regions, in particular the presence of extended continuum emission surrounding ultracompact sources and the discovery of a new class of so-called ``Hypercompact'' HII regions. In addition, we discuss recent attempts to probe the density structure within UC HII regions using the technique of spectral index analysis.

Stan Kurtz; Jose Franco

2001-11-20T23:59:59.000Z

303

Hidden Innovation: A Reconsideration of An 'Old Economy' Industry in a 'New Economy' Region  

E-Print Network [OSTI]

BLS Occupational Employment Statistics (OES) 2006 US CensusBLS Occupational Employment Statistics (OES) 2006 CA EDDU.S. business and employment statistics. On the one hand,

Chiang, Lifang

2008-01-01T23:59:59.000Z

304

CEMI Western Regional Summit  

Broader source: Energy.gov [DOE]

Please Join Assistant Secretary of Energy Dr. David Danielson for the Clean Energy Manufacturing Initiative's Western Regional Summit. Register now for this free event.

305

HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM  

E-Print Network [OSTI]

to serve as "go-to" organization to catalyze PA Hydrogen and Fuel Cell Economy development #12;FundingHYDROGEN REGIONAL INFRASTRUCTURE PROGRAM IN PENNSYLVANIA HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM IN PENNSYLVANIA Melissa Klingenberg, PhDMelissa Klingenberg, PhD #12;Hydrogen ProgramHydrogen Program Air Products

306

Regional Analysis Briefs  

Reports and Publications (EIA)

Regional Analysis Briefs (RABs) provide an overview of specific regions that play an important role in world energy markets, either directly or indirectly. These briefs cover areas that are currently major producers (Caspian Sea), have geopolitical importance (South China Sea), or may have future potential as producers or transit areas (East Africa, Eastern Mediterranean).

2028-01-01T23:59:59.000Z

307

Regional Transportation Coordination Study  

E-Print Network [OSTI]

Regional Planning Commission Wanda Carter-Dyer Public Transportation Coordinator Texas Department of Transportation Councilperson Debra Martinez Briseno Cities in Calhoun County Laura G. Sanders Executive Director Golden Crescent Workforce... Regional Planning Commission Wanda Carter-Dyer Public Transportation Coordinator Texas Department of Transportation Councilperson Debra Martinez Briseno Cities in Calhoun County Laura G. Sanders Executive Director Golden Crescent Workforce...

Golden Crescent Regional Planning Commission

308

Regional Competitions - EERE Commercialization Office  

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

Regional Competitions Six Regional Clean Energy Business Plan Competitions are taking place across the country- representing all of the United States' distinct regions. The...

309

Northern Rockies Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoading map...(Utility Company)References ↑ US CensusNortheastName}}} Province is situated in

310

CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row:

311

CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data;

312

CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional

313

Chandra Study of the Cepheus B Star Forming Region: Stellar Populations and the Initial Mass Function  

E-Print Network [OSTI]

Cepheus B (Cep B) molecular cloud and a portion of the nearby Cep OB3b OB association, one of the most active regions of star formation within 1 kpc, has been observed with the ACIS detector on board the Chandra X-ray Observatory. We detect 431 X-ray sources, of which 89% are confidently identified as clustered pre-main sequence stars. Two main results are obtained. First, we provide the best census to date for the stellar population of the region. We identify many members of two rich stellar clusters: the lightly obscured Cep OB3b association, and the deeply embedded cluster in Cep B whose existence was previously traced only by a handful of radio sources and T Tauri stars. Second, we find a discrepancy between the X-ray Luminosity Functions of the Cep OB3b and the Orion Nebula Cluster. This may be due to different Initial Mass Functions of two regions (excess of ~0.3 solar mass stars), or different age distributions. Several other results are obtained. A diffuse X-ray component seen in the field is attribut...

Getman, K V; Feigelson, E D; Garmire, G; Townsley, L; Tsujimoto, M; Broos, Patrick; Feigelson, Eric D.; Garmire, Gordon; Getman, Konstantin V.; Townsley, Leisa; Tsujimoto, Masahiro

2006-01-01T23:59:59.000Z

314

Regional Districts (Texas)  

Broader source: Energy.gov [DOE]

Adjacent Water Control and Improvement Districts and Municipal Utility Districts can opt to form a Regional District to oversee water issues. Such districts may be created:(1) to purchase, own,...

315

Regional Carbon Sequestration Partnerships  

Broader source: Energy.gov [DOE]

DOE has created a network of seven Regional Carbon Sequestration Partnerships (RCSPs) to help develop the technology, infrastructure, and regulations to implement large-scale CO2 storage (also...

316

Northeast Regional Biomass Program  

SciTech Connect (OSTI)

The Northeast Regional Biomass Program has been in operation for a period of nine years. During this time, state managed programs and technical programs have been conducted covering a wide range of activities primarily aim at the use and applications of wood as a fuel. These activities include: assessments of available biomass resources; surveys to determine what industries, businesses, institutions, and utility companies use wood and wood waste for fuel; and workshops, seminars, and demonstrations to provide technical assistance. In the Northeast, an estimated 6.2 million tons of wood are used in the commercial and industrial sector, where 12.5 million cords are used for residential heating annually. Of this useage, 1504.7 mw of power has been generated from biomass. The use of wood energy products has had substantial employment and income benefits in the region. Although wood and woodwaste have received primary emphasis in the regional program, the use of municipal solid waste has received increased emphasis as an energy source. The energy contribution of biomass will increase as potentia users become more familiar with existing feedstocks, technologies, and applications. The Northeast Regional Biomass Program is designed to support region-specific to overcome near-term barriers to biomass energy use.

Lusk, P.D.

1992-12-01T23:59:59.000Z

317

CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"Tables andA 6 J (MillionCubic35775 84Publication

318

CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"Tables andA 6 J (MillionCubic35775

319

CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"Tables andA 6 J

320

CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"Tables andA 6

Note: This page contains sample records for the topic "b3 census region" 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

CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"Tables andA

322

CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM  

U.S. Energy Information Administration (EIA) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"Tables

323

Regional companies eye growth  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromising ScienceRecentRegional companies eye growth Regional

324

Regional Report Issue Paper  

E-Print Network [OSTI]

Regional Report Introduction The economy of the United States is more than three and one-half years accounting for both increasing shares of the economy and of recessionary employment losses. Manufacturing, driven by globalization and advancing information technology. Recoveries now produce jobs new

325

architecture architecture urban & regional  

E-Print Network [OSTI]

in architectural design, history, building construction, structures, and environmental technology from ourlandscape architecture architecture urban & regional planning environment + design college of fine-disciplinary studies. 18-to-1 Student-Teacher Ratio You'll enjoy individual, one-on-one attention in your architecture

Hwu, Wen-mei W.

326

Data:F4a79f22-a350-4663-a9bc-6c8e5b3d41b5 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for this page. It6d-bcfb5222116e No revisiondde-8391-5642056513fd No6c8e5b3d41b5 No

327

Data:23ff7a80-4be0-4b02-bb6f-e4d20400b3b9 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d4-4797-b850-d42be48a30cf No revisionf-e4d20400b3b9 No revision has been

328

Data:B5c0b076-16f4-494b-944d-46a96c58f6b3 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2 No revision has38865d08 No revisionb6dbbdc091c No revision has beenddee01554 Nod-46a96c58f6b3 No

329

Data:B5cf78d0-a870-4eaa-a1b5-7b3d098d7957 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2 No revision has38865d08 No revisionb6dbbdc091c No revision has beenddee01554b5-7b3d098d7957 No revision

330

Data:B7f1d0e2-6257-4411-9e28-8a05b3e1d9de | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2 No revision has38865d08 Nocadf-323f-4b6f-9089-15e8154a5fd9 No revision has beenfcdfb9cc68f5a05b3e1d9de

331

Data:5bf9f89c-46ad-4a0a-bca4-54d3f84b3d52 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6dbb-9d4f0845d4379-e4cca9d37856a7f-18cd64fcfd48 No

332

Data:5ed4e0ab-6cb6-48a7-9f91-dbdb6b3d5e88 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approved for this page.f9b87a5 No revision hasa7-9f91-dbdb6b3d5e88 No revision has

333

Data:9fd0687f-9d0d-49ff-9d9a-9b8b3f22c3f0 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 Nod2db5b31cb44 No revision hasdb5-b05c-76b1be5a4007 No revision1a933fd4da-9b8b3f22c3f0 No revision has

334

Data:92a9f742-2d81-40c9-9c17-77b3b69a096b | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revisione0a2d50bdf35248292f1 No revision hascbfc79d6989 No revision has been approved-77b3b69a096b

335

Data:D99b45c6-8d89-47b3-bef1-0649e60d5e67 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision has beenadf9-4884-b0c1-529b3bb19f9c No revisionfeb6-4f10-ba64-8ae4207cfab0bef1-0649e60d5e67 No

336

Data:Da3e16f1-5bdb-489f-8dd3-e1a1ca02e6b3 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision has beenadf9-4884-b0c1-529b3bb19f9c No2-d6f420785d1d Noe22218df8d4d

337

Data:Da3e83c6-8d53-4072-a5b3-b4a7f9c08174 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision has beenadf9-4884-b0c1-529b3bb19f9c No2-d6f420785d1d Noe22218df8d4db4a7f9c08174 No revision has

338

Chandra Study of the Cepheus B Star Forming Region: Stellar Populations and the Initial Mass Function  

E-Print Network [OSTI]

Cepheus B (Cep B) molecular cloud and a portion of the nearby Cep OB3b OB association, one of the most active regions of star formation within 1 kpc, has been observed with the ACIS detector on board the Chandra X-ray Observatory. We detect 431 X-ray sources, of which 89% are confidently identified as clustered pre-main sequence stars. Two main results are obtained. First, we provide the best census to date for the stellar population of the region. We identify many members of two rich stellar clusters: the lightly obscured Cep OB3b association, and the deeply embedded cluster in Cep B whose existence was previously traced only by a handful of radio sources and T Tauri stars. Second, we find a discrepancy between the X-ray Luminosity Functions of the Cep OB3b and the Orion Nebula Cluster. This may be due to different Initial Mass Functions of two regions (excess of ~0.3 solar mass stars), or different age distributions. Several other results are obtained. A diffuse X-ray component seen in the field is attributed to the integrated emission of unresolved low mass PMS stars. The X-ray emission from HD 217086 (O7n), the principle ionizing source of the region, follows the standard model involving many small shocks in an unmagnetized radiatively accelerated wind. The X-ray source #294 joins a number of similar superflare PMS stars where long magnetic structures may connect the protoplanetary disk to the stellar surface.

Konstantin V. Getman; Eric D. Feigelson; Leisa Townsley; Patrick Broos; Gordon Garmire; Masahiro Tsujimoto

2006-01-18T23:59:59.000Z

339

Regional Energy Baseline  

E-Print Network [OSTI]

ESL-TR-11-09-02 REGIONAL ENERGY BASELINE (1960 ~ 2009) 0 100 200 300 400 500 600 700 800 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 To tal En erg y U se pe r C ap ita (M MB tu) Year Total Energy... Use per Capita (1960-2009) US SEEC 12-States TX Hyojin Kim Juan-Carlos Baltazar, Ph.D. Jeff S. Haberl, Ph.D., P.E. September 2011 ENERGY SYSTEMS LABORATORY Texas Engineering Experiment Station Texas A&M University...

Kim, H.; Baltazar, J.C.; Haberl, J.

340

Regional Science Bowl 2015  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromising ScienceRecent SRELRecyclingProjectsRegionalRegionaldefault

Note: This page contains sample records for the topic "b3 census region" 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

Regional Education Partners  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearch Welcome to theNewsCenterandGas SeparationsRelevantRegional

342

Colorado Regional Faults  

SciTech Connect (OSTI)

Citation Information: Originator: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Originator: Colorado Geological Survey (CGS) Publication Date: 2012 Title: Regional Faults Edition: First Publication Information: Publication Place: Earth Science & Observation Center, Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder Publisher: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Description: This layer contains the regional faults of Colorado Spatial Domain: Extent: Top: 4543192.100000 m Left: 144385.020000 m Right: 754585.020000 m Bottom: 4094592.100000 m Contact Information: Contact Organization: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Contact Person: Khalid Hussein Address: CIRES, Ekeley Building Earth Science & Observation Center (ESOC) 216 UCB City: Boulder State: CO Postal Code: 80309-0216 Country: USA Contact Telephone: 303-492-6782 Spatial Reference Information: Coordinate System: Universal Transverse Mercator (UTM) WGS’1984 Zone 13N False Easting: 500000.00000000 False Northing: 0.00000000 Central Meridian: -105.00000000 Scale Factor: 0.99960000 Latitude of Origin: 0.00000000 Linear Unit: Meter Datum: World Geodetic System 1984 (WGS ’984) Prime Meridian: Greenwich Angular Unit: Degree Digital Form: Format Name: Shape file

Hussein, Khalid

2012-02-01T23:59:59.000Z

343

Innovative . Flexible . RegionalInnovative . Flexible . Regional Health Care  

E-Print Network [OSTI]

Executive Master in Innovative . Flexible . RegionalInnovative . Flexible . Regional Health Care Learning Outcomes Health Systems, Policy and Reform - Communicating with Policy Makers - Evidence - Human Resources Management - Data and Decision Making Executive Master in Health Care Leadership (EMHCL

Shihadeh, Alan

344

Regional GHG Emissions O tlook Greenhouse Gas and the Regional  

E-Print Network [OSTI]

6/5/2013 1 Regional GHG Emissions O tlook Greenhouse Gas and the Regional Power System Symposium Regional GHG Emissions ­ Outlook June 4, 2013 Steven Simmons CO2 Emission Outlook for the Pacific NW (ID-MT- OR-WA) Key Factors that determine Emissions Levels 1 Demand & Conservation 50 60 70 2 1. Demand

345

Southern Region Watershed Management Project  

E-Print Network [OSTI]

Coordinators and the organization, management and activities of the Southern Region Water Quality Planning1 Southern Region Watershed Management Project September 15, 2000 to September 14, 2005 Terminal responding to water quality and conservation issues with educational assistance, technology development

346

6, 1332313366, 2006 Regional pollution  

E-Print Network [OSTI]

ACPD 6, 13323­13366, 2006 Regional pollution potentials of major population centers M. G. Lawrence a Creative Commons License. Atmospheric Chemistry and Physics Discussions Regional pollution potentials. Lawrence (lawrence@mpch-mainz.mpg.de) 13323 #12;ACPD 6, 13323­13366, 2006 Regional pollution potentials

Paris-Sud XI, Université de

347

Regional Summary Pacific Management Context  

E-Print Network [OSTI]

. Bocaccio, Pacific ocean perch, cowcod, and darkblotched and widow rockfish are currently in rebuildingRegional Summary Pacific Management Context The Pacific Region includes California, Oregon, and Washington. Federal fisheries in this region are managed by the Pacific Fishery Management Council (PFMC

348

Understanding Regional Economic Growth in IndiaUnderstanding Regional Economic Growth in India Understanding Regional Economic  

E-Print Network [OSTI]

Understanding Regional Economic Growth in IndiaUnderstanding Regional Economic Growth in India Understanding Regional Economic Growth in India* Jeffrey D. Sachs Director The Earth Institute at Columbia_ramiah@yahoo.co.uk Asian Economic Papers 1:3 © 2002 The Earth Institute at Columbia University and the Massachusetts

349

The `CensUS' Dear students  

E-Print Network [OSTI]

residents will receive instructions from their facilities' staff. You will not be included on your parents' form unless your full-time residence as of April 1 is with your parents. It's essential everyone," speaker Randall Murch, 7:30 p.m., Pugh Ocora. March 6- 13 Spring break. March 16 "A Lost Tang Ico

Pilyugin, Sergei S.

350

Census 2000 Demographic Profiles Allegheny County Municipalities  

E-Print Network [OSTI]

Township Emsworth Etna Fawn Findlay Forest Hills Forward Fox Chapel Franklin Park Frazer Glassport Heights Bethel Park Blawnox Brackenridge Braddock Braddock Hills Bradfordwoods Brentwood Bridgeville Oakdale Oakmont O'Hara Ohio Osborne Penn Hills Pennsbury Village Pine Pitcairn Pittsburgh City Pleasant

Sibille, Etienne

351

Coverage statistics for sequence census methods  

E-Print Network [OSTI]

Nature Methods 2008, 5:19-21. Hower V, Evans SN, Pachter L:N Evans 1,2 , Valerie Hower 1* , Lior Pachter 1,3 Abstract

Evans, Steven N; Hower, Valerie; Pachter, Lior

2010-01-01T23:59:59.000Z

352

Census of Tribal Justice Agencies in Indian  

E-Print Network [OSTI]

of Steven K. Smith. Mark Motivans provided the statistical review. Also at BJS, Thomas Cohen, Matthew Hickman, and Stephanie Ross commented on drafts of the report. Tina Dorsey, Tom Hester and Marianne Zawitz

Hemmers, Oliver

353

Conservation Regional Conservation SavingsRegional Conservation Savings  

E-Print Network [OSTI]

1 Northwest Power and Conservation Council Regional Conservation SavingsRegional Conservation the Plan''s Targets?s Targets? March 14, 2008 slide 2 Northwest Power and Conservation Council 55thth Plan Conservation ResourcePlan Conservation Resource Acquisition TargetsAcquisition Targets 20052005 ­­ 2009 = 700 a

354

Coordinated Regional Public Transportation Plan: Heart of Texas Region  

E-Print Network [OSTI]

Coordinated Regional Public Transportation Plan Heart of Texas Region Bosque, Falls, Freestone, Hill, Limestone & McLennan Counties December 1, 2006 TABLE OF CONTENTS Acknowledgements... of Texas Council of Governments (HOTCOG) and the McLennan County Youth Collaboration (MCYC) ---21 Central Texas Senior Ministries (CTSM), Hill County Transit (HCT) and Scott and White (S&W) Medical Facilities...

Heart of Texas Council of Governments

2006-12-01T23:59:59.000Z

355

1, 497531, 2004 Regional hydrology  

E-Print Network [OSTI]

BGD 1, 497­531, 2004 Regional hydrology controls stream microbial biofilms T. J. Battin et al hydrology controls stream microbial biofilms: evidence from a glacial catchment T. J. Battin1, , A. Wille2@pflaphy.pph.univie.ac.at) 497 #12;BGD 1, 497­531, 2004 Regional hydrology controls stream microbial biofilms T. J. Battin et al

Boyer, Edmond

356

Presentation of Regional SDSN Center  

E-Print Network [OSTI]

;Conference topics: Pollution in the Mediterranean sea Climate change Improving the management Energy#12;Presentation of UN SDSN and MED SDSN Regional SDSN Center for the Mediterranean Region #12;UN for the Mediterranean Basin Why a Mediterranean Network? Shared history Shared environment Shared future MED

Garulli, Andrea

357

NORTHEAST REGIONAL REFINED PETROLEUM PRODUCT RESERVE | Department...  

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

NORTHEAST REGIONAL REFINED PETROLEUM PRODUCT RESERVE NORTHEAST REGIONAL REFINED PETROLEUM PRODUCT RESERVE The Northeast region of the U.S. is particularly vulnerable to gasoline...

358

Regional Public Coordination Transportation Plan Texoma Region #22  

E-Print Network [OSTI]

in conjunction with TxDOT to increase public awareness of the project. As an integral part of this project, each of the 24 regions studying public transportation in their area was charged with assessing Barriers, Constraints and Best Practices in public... Sherman TAPS TAPS TAPS operates in seven (7) counties, with three (3) of the counties in the Texoma Region. TAPS services include demand response, commuter bus services and special services. Square Miles Population ?00 Rider Trips ?05 Clay 1...

Texoma Council of Governments

2006-12-01T23:59:59.000Z

359

Anomalous Emission from HII regions  

E-Print Network [OSTI]

Spinning dust appears to be the best explanation for the anomalous emission that has been observed at $\\sim 10-60$ GHz. One of the best examples of spinning dust comes from a HII region in the Perseus molecular cloud. Observations of other HII regions also show tentative evidence for excess emission at frequencies $\\sim 30$ GHz, although at lower emissivity levels. A new detection of excess emission at 31 GHz in the HII region RCW175 has been made. The most plausible explanation again comes from spinning dust. HII regions are a good place to look for spinning dust as long as accurate radio data spanning the $\\sim 5-100$ GHz range is available.

C. Dickinson

2008-08-04T23:59:59.000Z

360

RAFT Regional Algal Feedstock Testbed  

Broader source: Energy.gov [DOE]

Breakout Session 3B—Integration of Supply Chains III: Algal Biofuels Strategy RAFT Regional Algal Feedstock Testbed Kimberly Ogden, Professor, University of Arizona, Engineering Technical Lead, National Alliance for Advanced Biofuels and Bioproducts

Note: This page contains sample records for the topic "b3 census region" 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

Pacific Islands Region News Release  

E-Print Network [OSTI]

Pacific Islands Region News Release Contact: Wende Goo FOR IMMEDIATE RELEASE 808-721-4098 May 27 of these unique twins by contributing more than 100 hours of work to construct a holding pen for the young seal

362

Regional  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST3 AÇORIANO ORIENTAL SEGUNDA-FEIRA, 5 DE MARÇO DE

363

Regional Transmission Projects: Finding Solutions  

SciTech Connect (OSTI)

The Keystone Center convened and facilitated a year-long Dialogue on "Regional Transmission Projects: Finding Solutions" to develop recommendations that will help address the difficult and contentious issues related to expansions of regional electric transmission systems that are needed for reliable and economic transmission of power within and across regions. This effort brought together a cross-section of affected stakeholders and thought leaders to address the problem with the collective wisdom of their experience and interests. Transmission owners sat at the table with consumer advocates and environmental organizations. Representatives from regional transmission organizations exchanged ideas with state and federal regulators. Generation developers explored common interests with public power suppliers. Together, the Dialogue participants developed consensus solutions about how to begin unraveling some of the more intractable issues surrounding identification of need, allocation of costs, and reaching consensus on siting issues that can frustrate the development of regional transmission infrastructure. The recommendations fall into three broad categories: 1. Recommendations on appropriate institutional arrangements and processes for achieving regional consensus on the need for new or expanded transmission infrastructure 2. Recommendations on the process for siting of transmission lines 3. Recommendations on the tools needed to support regional planning, cost allocation, and siting efforts. List of Dialogue participants: List of Dialogue Participants: American Electric Power American Transmission Company American Wind Energy Association California ISO Calpine Corporation Cinergy Edison Electric Institute Environmental Defense Federal Energy Regulatory Commission Great River Energy International Transmission Company ISO-New England Iowa Public Utility Board Kanner & Associates Midwest ISO National Association of Regulatory Utility Commissioners National Association of State Utility Consumer Advocates National Grid Northeast Utilities PA Office of Consumer Advocates Pacific Gas & Electric Corporation Pennsylvania Public Utility Commission PJM Interconnection The Electricity Consumers Resource Council U.S. Department of Energy US Department of the Interior Van Ness Feldman Western Interstate Energy Board Wind on the Wires Wisconsin Public Service Commission Xcel Energy

The Keystone Center

2005-06-15T23:59:59.000Z

364

Southeast Texas Region Regional Public Transportation Coordination Plan  

E-Print Network [OSTI]

Providers Public transportation in the southeast Texas region includes primarily demand- response service, with two localities managing fixed-route systems. Table 2 identifies the transportation providers within the region. The major transportation... citywide bus services with eleven local routes. PAT operates from 6:15am to 6:15pm five days a week. Annual ridership for BMT totaled 671,420 fixed route and 22,155 demand response trips in 2005, while PAT ridership reached 116,632 fixed route and 20...

Southeast Texas Regional Planning Commission

365

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

7 Computers and Other Electronics in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South"...

366

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

7 Air Conditioning in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Air...

367

" Million Housing Units, Final...  

U.S. Energy Information Administration (EIA) Indexed Site

7 Water Heating in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Water...

368

Regional Partnerships | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromising ScienceRecent SRELRecyclingProjectsRegionalRegional

369

Saskatchewan's Regional Colleges: Towards a New System  

E-Print Network [OSTI]

Saskatchewan's Regional Colleges: Towards a New System ReGional ColleGe Review FiNal RepoRT · Ma and any other matters concerning the Act. There are seven regional colleges in Saskatchewan: Carlton TrailVieW CHaiR Saskatchewan's Regional Colleges: Towards a New System #12;ReGional ColleGe Review 2010 Fi

Saskatchewan, University of

370

Bottle Habitat Region: Great Lakes  

E-Print Network [OSTI]

-liter plastic soda bottles for each group · A water source · A light source (sunlight or a halogen lamp) · BlackBottle Habitat Region: Great Lakes Grade Level(s): 5-8 Time Required: One 50 minute class period/Instructional Strategies: 1. Students will, in groups of four, construct 2 aquatic habitats using 2 two-liter soda bottles

371

Regional water planning Milind Sohoni  

E-Print Network [OSTI]

­ irrigation: generally subsidized by state ­ poor households generally subsidized within community #12;CaseRegional water planning Milind Sohoni Pooja Prasad CTARA IIT Bombay #12;Need for planning · Rising Annual Gross Utilisation : 134.26 Mcft. 166.08 Mcft. 12 Top of Dam Level : 103.00 m. 134.00 m. 13 H

Sohoni, Milind

372

EE Regional Technology Roadmap Includes comparison  

E-Print Network [OSTI]

EE Regional Technology Roadmap Includes comparison against 6th Power Plan (Update cyclically Data Clearinghouse BPA/RTF NEEA/Regional Programs Group Update Regional EE Technology Roadmap Lighting

373

http://2010.census.gov/2010census/data/apportionment-dens-text.  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review 2008 A028/%2A enThe

374

The Elephant Trunk Nebula and the Trumpler 37 cluster: Contribution of triggered star formation to the total population of an HII region  

E-Print Network [OSTI]

Rich young stellar clusters produce HII regions whose expansion into the nearby molecular cloud is thought to trigger the formation of new stars. However, the importance of this mode of star formation is uncertain. This investigation seeks to quantify triggered star formation (TSF) in IC 1396A (a.k.a., the Elephant Trunk Nebula), a bright rimmed cloud (BRC) on the periphery of the nearby giant HII region IC 1396 produced by the Trumpler 37 cluster. X-ray selection of young stars from Chandra X-ray Observatory data is combined with existing optical and infrared surveys to give a more complete census of the TSF population. Over 250 young stars in and around IC 1396A are identified; this doubles the previously known population. A spatio-temporal gradient of stars from the IC 1396A cloud toward the primary ionizing star HD 206267 is found. We argue that the TSF mechanism in IC 1396A is the radiation-driven implosion process persisting over several million years. Analysis of the X-ray luminosity and initial mass f...

Getman, Konstantin V; Sicilia-Aguilar, Aurora; Broos, Patrick S; Kuhn, Michael A; Garmire, Gordon P

2012-01-01T23:59:59.000Z

375

Regional GHG Emissions Stat s Greenhouse Gas and the Regional  

E-Print Network [OSTI]

(milliontonsCO2) Petroleum + Pet Coke Natural Gas Coal 8 0.0 10.0 20.0 1995 1996 1997 1998 1999 2000 2001 2002 and ½ Valmy coal plants) 2 #12;6/5/2013 2 GHG Emissions by Economic Sector in the Pacific Northwest (2010 Renewables 7 6%In 2011, the region 0.2% 6.4% Coal, 15.7% Nuclear, 2.0% 7.6%, g generated ~27,000 MWa ­ 68

376

Texas State Planning Region 3 Report of Regional Transportation Coordination  

E-Print Network [OSTI]

of the 24 regions studying public transportation in their area was charged with assessing Barriers, Constraints and Best Practices in public transportation. This Coordination Committee addressed this issue with enthusiasm, generating significant topics...DOT requirement that all vehicles be ADA compliant, Medicaid restrictions and Insurance as significant barriers to public transportation. Best practices included sharing of information regarding this project through publication in rural newspapers, inter...

Nortex Regional Planning Commission

2006-12-01T23:59:59.000Z

377

Regional geophysics, Cenozoic tectonics and geologic resources...  

Open Energy Info (EERE)

and adjoining regions Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Proceedings: Regional geophysics, Cenozoic tectonics and geologic resources of...

378

Clean Cities Regional Support & Petroleum Displacement Awards...  

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

Clean Cities Regional Support & Petroleum Displacement Awards Clean Cities Regional Support & Petroleum Displacement Awards 2009 DOE Hydrogen Program and Vehicle Technologies...

379

Regional Systems Development for Geothermal Energy Resources...  

Open Energy Info (EERE)

Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Regional Systems Development for Geothermal Energy Resources Pacific Region (California and Hawaii)....

380

Regional Slip Tendency Analysis of the Great Basin Region  

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

- The resulting along?fault and fault?to?fault variation in slip or dilation potential is a proxy for along fault and fault?to?fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson?Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike?slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527 representative of the region. Results: The results of our slip and dilation tendency analysis are shown in Figures 4 (dilation tendency), 5 (slip tendency) and 6 (slip tendency + dilation tendency). Shmin varies from northwest to east?west trending throughout much of the Great Basin. As such, north? to northeast?striking faults have the highest tendency to slip and to dilate, depending on the local trend of shmin. These results provide a first order filter on faults and fault systems in the Great Basin, affording focusing of local?scale exploration efforts for blind or hidden geothermal resources.

Faulds, James E.

Note: This page contains sample records for the topic "b3 census region" 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

Regional CO2 and latent heat surface fluxes in the Southern Great Plains: Measurements, modeling, and scaling  

SciTech Connect (OSTI)

Characterizing net ecosystem exchanges (NEE) of CO{sub 2} and sensible and latent heat fluxes in heterogeneous landscapes is difficult, yet critical given expected changes in climate and land use. We report here a measurement and modeling study designed to improve our understanding of surface to atmosphere gas exchanges under very heterogeneous land cover in the mostly agricultural U.S. Southern Great Plains (SGP). We combined three years of site-level, eddy covariance measurements in several of the dominant land cover types with regional-scale climate data from the distributed Mesonet stations and Next Generation Weather Radar precipitation measurements to calibrate a land surface model of trace gas and energy exchanges (isotope-enabled land surface model (ISOLSM)). Yearly variations in vegetation cover distributions were estimated from Moderate Resolution Imaging Spectroradiometer normalized difference vegetation index and compared to regional and subregional vegetation cover type estimates from the U.S. Department of Agriculture census. We first applied ISOLSM at a 250 m spatial scale to account for vegetation cover type and leaf area variations that occur on hundred meter scales. Because of computational constraints, we developed a subsampling scheme within 10 km 'macrocells' to perform these high-resolution simulations. We estimate that the Atmospheric Radiation Measurement Climate Research Facility SGP region net CO{sub 2} exchange with the local atmosphere was -240, -340, and -270 gC m{sup -2} yr{sup -1} (positive toward the atmosphere) in 2003, 2004, and 2005, respectively, with large seasonal variations. We also performed simulations using two scaling approaches at resolutions of 10, 30, 60, and 90 km. The scaling approach applied in current land surface models led to regional NEE biases of up to 50 and 20% in weekly and annual estimates, respectively. An important factor in causing these biases was the complex leaf area index (LAI) distribution within cover types. Biases in predicted weekly average regional latent heat fluxes were smaller than for NEE, but larger than for either ecosystem respiration or assimilation alone. However, spatial and diurnal variations of hundreds of W m{sup -2} in latent heat fluxes were common. We conclude that, in this heterogeneous system, characterizing vegetation cover type and LAI at the scale of spatial variation are necessary for accurate estimates of bottom-up, regional NEE and surface energy fluxes.

Riley, W. J.; Biraud, S.C.; Torn, M.S.; Fischer, M.L.; Billesbach, D.P.; Berry, J.A.

2009-08-15T23:59:59.000Z

382

Southeast Regional Carbon Sequestration Partnership  

SciTech Connect (OSTI)

The Southeast Regional Carbon Sequestration Partnership's (SECARB) Phase I program focused on promoting the development of a framework and infrastructure necessary for the validation and commercial deployment of carbon sequestration technologies. The SECARB program, and its subsequent phases, directly support the Global Climate Change Initiative's goal of reducing greenhouse gas intensity by 18 percent by the year 2012. Work during the project's two-year period was conducted within a ''Task Responsibility Matrix''. The SECARB team was successful in accomplishing its tasks to define the geographic boundaries of the region; characterize the region; identify and address issues for technology deployment; develop public involvement and education mechanisms; identify the most promising capture, sequestration, and transport options; and prepare action plans for implementation and technology validation activity. Milestones accomplished during Phase I of the project are listed below: (1) Completed preliminary identification of geographic boundaries for the study (FY04, Quarter 1); (2) Completed initial inventory of major sources and sinks for the region (FY04, Quarter 2); (3) Completed initial development of plans for GIS (FY04, Quarter 3); (4) Completed preliminary action plan and assessment for overcoming public perception issues (FY04, Quarter 4); (5) Assessed safety, regulatory and permitting issues (FY05, Quarter 1); (6) Finalized inventory of major sources/sinks and refined GIS algorithms (FY05, Quarter 2); (7) Refined public involvement and education mechanisms in support of technology development options (FY05, Quarter 3); and (8) Identified the most promising capture, sequestration and transport options and prepared action plans (FY05, Quarter 4).

Kenneth J. Nemeth

2006-08-30T23:59:59.000Z

383

Developing a Regional Recovery Framework  

SciTech Connect (OSTI)

Abstract A biological attack would present an unprecedented challenge for local, state, and federal agencies; the military; the private sector; and individuals on many fronts ranging from vaccination and treatment to prioritization of cleanup actions to waste disposal. To prepare the Seattle region to recover from a biological attack, the Seattle Urban Area Security Initiative (UASI) partners collaborated with military and federal agencies to develop a Regional Recovery Framework for a Biological Attack in the Seattle Urban Area. The goal was to reduce the time and resources required to recover and restore wide urban areas, military installations, and other critical infrastructure following a biological incident by providing a coordinated systems approach. Based on discussions in small workshops, tabletop exercises, and interviews with emergency response agency staff, the partners identified concepts of operation for various areas to address critical issues the region will face as recovery progresses. Key to this recovery is the recovery of the economy. Although the Framework is specific to a catastrophic, wide-area biological attack using anthrax, it was designed to be flexible and scalable so it could also serve as the recovery framework for an all-hazards approach. The Framework also served to coalesce policy questions that must be addressed for long-term recovery. These questions cover such areas as safety and health, security, financial management, waste management, legal issues, and economic development.

Lesperance, Ann M.; Olson, Jarrod; Stein, Steven L.; Clark, Rebecca; Kelly, Heather; Sheline, Jim; Tietje, Grant; Williamson, Mark; Woodcock, Jody

2011-09-01T23:59:59.000Z

384

Regional aquifers and petroleum in Williston Basin region of US  

SciTech Connect (OSTI)

At least five major aquifers underlie the northern Great Plains of the US, which includes parts of the Williston basin in Montana and North Dakota. These aquifers form a hydrologic system that extends more than 960 km from recharge areas in the Rocky Mountains to discharge areas in eastern North Dakota and the Canadian Provinces of Manitoba and Saskatchewan. The regional flow system in the aquifers has had a major effect on the chemical composition of ground water within the Williston basin. Hydrodynamic forces may contribute to the accumulation of petroleum within the basin.

Downey, J.S.; Busby, J.F.; Dinwiddie, G.A.

1985-05-01T23:59:59.000Z

385

Twin Cities Regional Bicycle System Study  

E-Print Network [OSTI]

Twin Cities Regional Bicycle System Study Developing a Regional Bicycle Network CTS Research Corridors Analysis Results Proposed Regional Bicycle Network Critical Bicycle Links Next Steps Introduction #12;3 Improve knowledge base of regional bicycle transportation system and learn · How on

Minnesota, University of

386

Regional East Tennessee Information | ORNL  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromising ScienceRecent SRELRecyclingProjectsRegional Dialogue

387

Regions for Select Spot Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromising ScienceRecentRegional companies eye growth

388

Iron abundance in HII regions  

E-Print Network [OSTI]

Optical CCD spectra are used to determine the Fe abundances at several positions inside seven bright Galactic HII regions. The observed [FeIII] line ratios are compared with the predictions of different sets of collision strengths and transition probabilities for this ion to select the atomic data providing the best fit to the observations. The values found for the Fe++ and Fe+ abundances, along with ionization correction factors for the contribution of Fe3+, obtained from available grids of photoionized models, imply that the Fe/O ratio in the ionized gas is between 2% and 30% of solar. The Fe abundances derived for each area are correlated both with the degree of ionization and the colour excess. A possible explanation is suggested, namely the presence of a population of small grains, probably originating from the fragmentation of larger grains. These small grains would release Fe atoms into the gas after the absorption of energetic photons; the small grains surviving this destruction process would be swept out of the ionized region by the action of radiation pressure or stellar winds. An indication of a further and more efficient destruction agent is given by the high Fe abundance derived for a position sampling the optical jet H399 in M20, where dust destruction due to shock waves has presumably taken place.

M. Rodriguez

2002-03-22T23:59:59.000Z

389

Economic Development from New Generation and Transmission in...  

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

3,937,831 over the age of 16 (Census 2011b). 3 2 Project Scenario This analysis considers potential new wind and natural gas electricity generation capacity in Wyoming as well as...

390

Muon collider interaction region design  

SciTech Connect (OSTI)

Design of a muon collider interaction region (IR) presents a number of challenges arising from low {beta}* < 1 cm, correspondingly large beta-function values and beam sizes at IR magnets, as well as the necessity to protect superconducting magnets and collider detectors from muon decay products. As a consequence, the designs of the IR optics, magnets and machine-detector interface are strongly interlaced and iterative. A consistent solution for the 1.5 TeV c.o.m. muon collider IR is presented. It can provide an average luminosity of 10{sup 34} cm{sup -2}s{sup -1} with an adequate protection of magnet and detector components.

Alexahin, Y.I.; Gianfelice-Wendt, E.; Kashikhin, V.V.; Mokhov, N.V.; Zlobin, A.V.; /Fermilab; Alexakhin, V.Y.; /Dubna, JINR

2010-05-01T23:59:59.000Z

391

Regional Revolving Loan Trust Fund (New York)  

Broader source: Energy.gov [DOE]

The Regional Revolving Loan Trust Fund Program, coordinated by the Empire State Development program, is operated in six regions by nonprofit organizations and provides working capital loans (up to ...

392

Enhancing regional security agreements through cooperative monitoring  

SciTech Connect (OSTI)

This paper proposes that strengthening regional capabilities for formulating and implementing arms control and confidence-building measures is a tangible method of enhancing regional security. It discusses the importance of developing a regional infrastructure for arms control and confidence building and elucidates the role of technology in facilitating regional arms control and confidence-building agreements. In addition, it identifies numerous applications for regional cooperative monitoring in the areas of arms control, resource management, international commerce and disaster response. The Cooperative Monitoring Center at Sandia National Laboratories, whose aim is to help individual countries and regions acquire the tools they need to develop their own solutions to regional problems, is discussed briefly. The paper ends with recommendations for establishing regional cooperative monitoring centers.

Pregenzer, A.L.

1995-05-01T23:59:59.000Z

393

Sandia National Laboratories: Photovoltaic Regional Testing Center...  

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

Grid Integration, Modeling, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Photovoltaic Regional Testing Center (PV RTC), Photovoltaic Systems Evaluation...

394

First 450-micron dust continuum mapping of the massive star-forming region NGC 3576 with the P-ArTeMiS bolometer camera  

E-Print Network [OSTI]

Context: The earliest phases of massive star formation are currently much debated. Aims. In an effort to make progress, we took a census of Class0-like protostellar dense cores in the NGC 3576 region, one of the nearest and most luminous embedded sites of high-mass star formation in the Galaxy. Methods: We used the P-ArTeMiS bolometer camera on the APEX telescope to produce the first 450-micron dust continuum map of the filamentary dense clump associated with NGC 3576. Results: Combining our 450-micron observations with existing data at other wavelengths, we have identified seven massive protostellar sources along the NGC 3576 filament and placed them in the M_env - L_bol evolutionary diagram for protostars. Conclusions: Comparison with theoretical evolutionary tracks suggests that these seven protostellar sources will evolve into massive stars with masses M* ~ 15-50 Msun. Four sources are classified as candidate high-mass Class 0 objects, two sources as massive Class I objects, and one source appears to be at an intermediate stage.

P. André; V. Minier; P. Gallais; V. Reveret; J. Le Pennec; L. Rodriguez; O. Boulade; E. Doumayrou; D. Dubreuil; M. Lortholary; J. Martignac; M. Talvard; C. De Breuck; G. Hamon; N. Schneider; S. Bontemps; P. O. Lagage; E. Pantin; H. Roussel; M. Miller; C. R. Purcell; T. Hill; J. Stutzki

2008-09-23T23:59:59.000Z

395

Segmentation into fuzzy regions using topographic distance  

E-Print Network [OSTI]

recognition from fuzzy regions. Keywords: Segmentation, Fuzzy region, Watershed, Color image, TopographicSegmentation into fuzzy regions using topographic distance SYLVIE PHILIPP­FOLIGUET 1 MARCELO@dcc.ufmg.br, arnaldo@dcc.ufmg.br 3 Supported by CAPES. Abstract. This paper exposes an algorithm that leads to a fuzzy

Philipp-Foliguet, Sylvie

396

6, 1092910958, 2006 Regional scale CO2  

E-Print Network [OSTI]

ACPD 6, 10929­10958, 2006 Regional scale CO2 flux estimation using radon A. I. Hirsch Title Page Chemistry and Physics Discussions On using radon-222 and CO2 to calculate regional-scale CO2 fluxes A. I (Adam.Hirsch@noaa.gov) 10929 #12;ACPD 6, 10929­10958, 2006 Regional scale CO2 flux estimation using

Paris-Sud XI, Université de

397

Regional Technical Forum AND 2012 PROGRESS UPDATE  

E-Print Network [OSTI]

Review of the Northwest Energy System.The report recommended forming a technical group to help the region the guidelines were adopted in June 2011, the RTF began reviewing its existing portfolio of energy savingsRegional Technical Forum AND 2012 PROGRESS UPDATE 2011 Annual Report #12;PAGE 2 > REGIONAL

398

Biochar and Carbon Sequestration: A Regional Perspective  

E-Print Network [OSTI]

Biochar and Carbon Sequestration: A Regional Perspective A report prepared for East of England #12;Low Carbon Innovation Centre Report for EEDA Biochar and Carbon Sequestration: A Regional Perspective 20/04/2009 ii Biochar and Carbon Sequestration: A Regional Perspective A report prepared for East

Everest, Graham R

399

Securing non-volatile memory regions  

DOE Patents [OSTI]

Methods, apparatus and articles of manufacture to secure non-volatile memory regions are disclosed. An example method disclosed herein comprises associating a first key pair and a second key pair different than the first key pair with a process, using the first key pair to secure a first region of a non-volatile memory for the process, and using the second key pair to secure a second region of the non-volatile memory for the same process, the second region being different than the first region.

Faraboschi, Paolo; Ranganathan, Parthasarathy; Muralimanohar, Naveen

2013-08-20T23:59:59.000Z

400

Geodesic Active Regions Using Non-parametric Statistical Regional Description and Their  

E-Print Network [OSTI]

Geodesic Active Regions Using Non-parametric Statistical Regional Description and Their Application {mhg,afrangi}@unizar.es Abstract. The inclusion of statistical region-based information in the Geodesic for the segmentation of brain aneurysms in CTA data with the Geodesic Active Regions model. 1 Introduction Brain

Frangi, Alejandro

Note: This page contains sample records for the topic "b3 census region" 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

Enforcement Policy Statement: Compliance Period for Regional...  

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

energy conservation standards for residential furnaces, central air conditioners, and heat pumps, including regional standards for different product types in indicated States....

402

Enforcement Policy Statement: Regional Standards Enforcement...  

Office of Environmental Management (EM)

which set forth amended energy conservation standards for central air conditioners and heat pumps, including regional standards in certain States. 76 FR 37408. DOE has initiated...

403

Clean Cities Regional Support & Petroleum Displacement Awards  

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

Clean Cities Regional Support & Petroleum Displacement Awards Mike Scarpino & Kay Kelly National Energy Technology Laboratory 052009 This presentation does not contain any...

404

Northwest Region Combined Heat and Power Projects  

Broader source: Energy.gov [DOE]

DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

405

Pacific Region Combined Heat and Power Projects  

Broader source: Energy.gov [DOE]

DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

406

Northeast Region Combined Heat and Power Projects  

Broader source: Energy.gov [DOE]

DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

407

Regional Districts, Commissions, and Authorities (South Carolina)  

Broader source: Energy.gov [DOE]

This legislation establishes a number of regional districts, commissions, and authorities with the power to implement regulations and development plans for protected park and recreational areas.

408

Southeast Regional Clean Energy Policy Analysis  

Office of Energy Efficiency and Renewable Energy (EERE)

This report covers the states that largely fall into the Southeastern Reliability Corporation (SERC) region: Alabama, Arkansas, Georgia, Louisiana, Kentucky, Missouri, Mississippi, North Carolina, South Carolina, and Tennessee.

409

DOE Regional Partnership Successfully Demonstrates Terrestrial...  

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

successfully completed by one of the U.S. Department of Energy's (DOE) seven Regional Carbon Sequestration Partnerships (RCSPs). The Plains CO2 Reduction (PCOR) Partnership , a...

410

Cardiff School of City and Regional Planning  

E-Print Network [OSTI]

Cardiff School of City and Regional Planning Undergraduate Degree Programmes www School of City and Regional Planning 11 BSc Geography (Human) 13 BSc Geography (Human) and Planning 15 to Find Us #12;Welcome 1www.cardiff.ac.uk/cplan Thank you for your interest in the Cardiff School of City

Davies, Christopher

411

Roadmap: Associate of Science Regional College  

E-Print Network [OSTI]

Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2013-2014 Page 1 of 2 | Last Updated: 27-Feb-13/LNHD This roadmap is a recommended semester-by-semester plan of study.000 #12;Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2013-2014 Page 2 of 2

Sheridan, Scott

412

Roadmap: Associate of Arts Regional College  

E-Print Network [OSTI]

Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2013-2014 Page 1 of 2 | Last Updated: 27-Feb-13/LNHD This roadmap is a recommended semester-by-semester plan of study for this major.000 #12;Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2013-2014 Page 2 of 2 | Last

Sheridan, Scott

413

Roadmap: Associate of Arts Regional College  

E-Print Network [OSTI]

Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2012-2013 Page 1 of 2 | Last Updated: 12-Mar-12/LNHD This roadmap is a recommended semester-by-semester plan of study for this major GPA Overall GPA 61 2.000 2.000 #12;Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year

Sheridan, Scott

414

Roadmap: Associate of Science Regional College  

E-Print Network [OSTI]

Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2012-2013 Page 1 of 2 | Last Updated: 12-Mar-12/LNHD This roadmap is a recommended semester-by-semester plan of study GPA Overall GPA 61 2.000 2.000 #12;Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog

Sheridan, Scott

415

WORK PROGRAMME 2010 REGIONS OF KNOWLEDGE  

E-Print Network [OSTI]

of regional players in enhancing science and technology based development. Its purpose is to enable regions to strengthen their capacity for investing in and conducting research and technological development activities components of the cluster; · business entities (large enterprises and SMEs as defined in the EC

Milano-Bicocca, Università

416

THE ECONOMIC SITUATION IN THE ECE REGION  

E-Print Network [OSTI]

THE ECONOMIC SITUATION IN THE ECE REGION DIETER HESSE ECONOMIC ANALYSIS DIVISION UNECE #12;Major trends in the global economy so far in 2003 Global economic activity picked up ­ but uneven regional growth forces United States remains main engine of global economic growth Japan and Asian emerging

417

Understanding Regional Economic Growth in India  

E-Print Network [OSTI]

Understanding Regional Economic Growth in India Jeffrey D. Sachs, Nirupam Bajpai and Ananthi Ramiah Papers #12;Understanding Regional Economic Growth in India Jeffrey D. Sachs Center for International Development (CID) Harvard University Ananthi_Ramiah@harvard.edu This paper was prepared for the Asian Economic

418

Predicting Functional Regions of Objects Chaitanya Desai  

E-Print Network [OSTI]

regions. We compare "blind" approaches that ig- nore image data, bottom-up approaches that reason about). We benchmark a wide variety of algo- rithms for producing such outputs, including blind baselines- fords little use to an observer. The central thesis of this work is that functional regions

Ramanan, Deva

419

Regional Water Management: Adapting to Uncertain Water  

E-Print Network [OSTI]

Regional Water Management: Adapting to Uncertain Water Supply and Demand Jim Schneider, Ph · How Nebraska manages water · Dealing with uncertain water supplies: adaptive management #12;Regional-wide, systematic approach · Flexible--Adaptive Management Adaptive Manageme nt #12;Integrated Water Management

Nebraska-Lincoln, University of

420

IN THIS ISSUE Regional Climate Change..............1  

E-Print Network [OSTI]

IN THIS ISSUE · Regional Climate Change..............1 · From the Executive Director...........2 release of new climate change scenarios from the Canadian Regional Climate Model (CRCM) heralds of the fundamental questions remaining with respect to understanding climate change and even climate variability. And

Hamann, Andreas

Note: This page contains sample records for the topic "b3 census region" 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

Alamo Area Regional Public Transportation Coordination Plan  

E-Print Network [OSTI]

KFH GROUP, INC. ALAMO AREA REGIONAL PUBLIC TRANSPORTATION COORDINATION PLAN Developed for: The Alamo Area Council of Governments and the San Antonio-Bexar County Metropolitan Planning Organization By: KFH Group..............................................................................................................................4 SUMMARY OF TRAVEL PATTERNS IN THE ALAMO REGION...............................................9 COORDINATION AND SERVICE ALTERNATIVES .................................................................16 COORDINATED TRANSPORTATION: PLANNED...

Alamo Area Council of Governments

2006-11-30T23:59:59.000Z

422

Design Lessons from State and Regional Programs  

E-Print Network [OSTI]

Minimal linkage with cap-and-trade regional regimes #12;Cap & Trade: Regional GHG Initiative (RGGI) #12;RGGI and Sustaining Political Support Narrow Focus: Utilities-only Energy-Environment Network Holds (budgets, staff, emission allocations) #12;RGGI: Challenges of Implementation Leakage: Where

423

MID-ATLANTIC REGIONAL OCEAN RESEARCH PLAN  

E-Print Network [OSTI]

................................................................................. 24 #12;v ASMFC Atlantic States Marine Fisheries Commission BOEM Bureau of Ocean Energy Management BMPMID-ATLANTIC REGIONAL OCEAN RESEARCH PLAN SEPTEMBER 2012 Sea Grant Mid-Atlantic Ocean Research #12;MID-ATLANTIC REGIONAL OCEAN RESEARCH PLAN SEPTEMBER 2012 Sea Grant Mid-Atlantic Ocean Research

424

anemia mga1 region: Topics by E-print Network  

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

and Plants Websites Summary: 652013 1 Regional GHG Emissions O tlook Greenhouse Gas and the Regional Power System Symposium Regional GHG Emissions - Outlook June 4, 2013...

425

The CO2 Content of Consumption Across US Regions: A Multi-Regional  

E-Print Network [OSTI]

, when attributed on a consumption basis, California's per capita emissions are over 25 percent higherThe CO2 Content of Consumption Across US Regions: A Multi-Regional Input-Output (MRIO) Approach: globalchange@mit.edu Website: http://globalchange.mit.edu/ #12;The CO2 Content of Consumption Across US Regions

426

Arrowhead Center: Coal Production and Regional Economic Growth Report Title: Coal Production and Regional Economic Growth  

E-Print Network [OSTI]

Arrowhead Center: Coal Production and Regional Economic Growth Report Title: Coal Production@nmsu.edu #12;Arrowhead Center: Coal Production and Regional Economic Growth i Disclaimer This report States Government or any agency thereof. #12;Arrowhead Center: Coal Production and Regional Economic

Johnson, Eric E.

427

Control of Regional and Global Weather  

E-Print Network [OSTI]

Author suggests and researches a new revolutionary idea for regional and global weather control. He offers to cover cities, bad regions of country, full country or a continent by a thin closed film with control clarity located at a top limit of the Earth troposphere (4 - 6 km). The film is supported at altitude by small additional atmospheric pressure and connected to ground by thin cables. It is known, the troposphere defines the Earth weather. Authors show this closed dome allows to do a full control of the weather in a given region (the day is always fine, the rain is only in night, no strong wind). The average Earth (white cloudy) reflectance equal 0.3 - 0.5. That means the Earth losses about 0.3 - 0.5 of a solar energy. The dome controls the clarity of film and converts the cold regions to subtropics and creates the hot deserts, desolate wildernesses to the prosperous regions with temperate climate. That is a realistic and the cheapest method of the weather control in the Earth at the current time. Key words: Global weather control, gigantic film dome, converting a cold region to subtropics, converting desolate wilderness to a prosperous region.

Alexander Bolonkin

2007-01-09T23:59:59.000Z

428

Regional Climate Modeling: Progress, Challenges, and Prospects  

SciTech Connect (OSTI)

Regional climate modeling with regional climate models (RCMs) has matured over the past decade and allows for meaningful utilization in a broad spectrum of applications. In this paper, latest progresses in regional climate modeling studies are reviewed, including RCM development, applications of RCMs to dynamical downscaling for climate change assessment, seasonal climate predictions and climate process studies, and the study of regional climate predictability. Challenges and potential directions of future research in this important area are discussed, with the focus on those to which less attention has been given previously, such as the importance of ensemble simulations, further development and improvement of regional climate modeling approach, modeling extreme climate events and sub-daily variation of clouds and precipitation, model evaluation and diagnostics, applications of RCMs to climate process studies and seasonal predictions, and development of regional earth system models. It is believed that with both the demonstrated credibility of RCMs’ capability in reproducing not only monthly to seasonal mean climate and interannual variability but also the extreme climate events when driven by good quality reanalysis and the continuous improvements in the skill of global general circulation models (GCMs) in simulating large-scale atmospheric circulation, regional climate modeling will remain an important dynamical downscaling tool for providing the needed information for assessing climate change impacts and seasonal climate predictions, and a powerful tool for improving our understanding of regional climate processes. An internationally coordinated effort can be developed with different focuses by different groups to advance regional climate modeling studies. It is also recognized that since the final quality of the results from nested RCMs depends in part on the realism of the large-scale forcing provided by GCMs, the reduction of errors and improvement in physics parameterizations in both GCMs and RCMs remain a priority for climate modeling community.

Wang, Yuqing; Leung, Lai R.; McGregor, John L.; Lee, Dong-Kyou; Wang, Wei-Chyung; Ding, Yihui; Kimura, Fujio

2004-12-01T23:59:59.000Z

429

CSCL@Work Chapter Regional Learning in Software Industries CSCL@Networking -Regional Learning in Software Industries  

E-Print Network [OSTI]

learning across organizational boundaries. Keywords Regional Learning, Software Industry, Networks learning across organizational boundaries. Keywords Regional Learning, Software Industry, Networks1 CSCL@Work ­ Chapter Regional Learning in Software Industries CSCL@Networking - Regional Learning

430

Public School Transportation National and Regional  

E-Print Network [OSTI]

Public School Transportation National and Regional Perspectives: An Update Presented to Education University #12;Table of Contents I. Current Transportation Funding Policies ..................................................................................................................................1 B. Transportation Funding Options Used by States

Mohaghegh, Shahab

431

REGIONAL TECHNICAL FORUM STATEMENT OF WORK  

E-Print Network [OSTI]

and distribution systems, Smart-Grid applications and other activities such as system operations that would benefit Program (ELCAP) and Regional End-use #12;2 Metering Program (REMP) in the 1980's and early 1990's

432

AWEA Wind Energy Regional Summit: Northeast  

Office of Energy Efficiency and Renewable Energy (EERE)

The AWEA Wind Energy Northeast Regional Summit will connect you with New England-area wind energy professionals and offers the opportunity to discuss significant issues related to land-based and...

433

Detection of amplified or deleted chromosomal regions  

DOE Patents [OSTI]

The present invention relates to in situ hybridization methods for the identification of new chromosomal abnormalities associated with various diseases. In particular, it provides probes which are specific to a region of amplification in chromosome 20. 3 figs.

Stokke, T.; Pinkel, D.; Gray, J.W.

1995-12-05T23:59:59.000Z

434

[working paper] Regional Economic Capacity, Economic Shocks,  

E-Print Network [OSTI]

1 [working paper] Regional Economic Capacity, Economic Shocks, and Economic that makes them more likely to resist economic shocks or to recover quickly from of resilience capacity developed by Foster (2012) is related to economic resilience

Sekhon, Jasjeet S.

435

What is the Broad Line Region?  

E-Print Network [OSTI]

What is the Broad Line Region (BLR) made of? What determines its location? Why is it sometimes missing? What controls its properties? Some recent results and new approaches which may shed light on these issues are briefly described.

Ari Laor

2003-12-16T23:59:59.000Z

436

Environmental Radioactivity in the North Atlantic Region.  

E-Print Network [OSTI]

, polonium« plutonium and americium. Finally technetium-99 data on seaweed samples col- lected in the North Atlantic region since the beginning of the sixties are presented. INIS Descriptors AMERICIUM 241; ANIMALS

437

Northwestern Indiana Regional Planning Commission (Indiana)  

Broader source: Energy.gov [DOE]

NIRPC is a regional council of local governments serving the citizens of Lake, Porter, and LaPorte counties in Northwest Indiana. NIRPC provides a forum that enables the citizens of Northwest...

438

Regional analysis of energy facility siting  

SciTech Connect (OSTI)

This paper has examined some of the regional environmental parameters of energy facility siting, with emphasis on air quality impacts. An example of a siting optimization study was presented, and it was shown how difficult it presently is to specify an environmental objective function that is universally applicable. The importance of regional background effects was discussed, and long-range transport models were used to analyze the relative importance of local and long-range impacts.

Lipfert, F W; Meier, P M; Kleinman, L I

1980-01-01T23:59:59.000Z

439

PAPER B3: PHYSICS OF FLUID FLOWS Hilary Term 2010  

E-Print Network [OSTI]

,...) · Aerodynamics ­ important advances in fluid dynamics c. 1900 ­ still active today · Lubrication of mechanical systems · Industry ­ e.g. gases in pipes, polymer flows · Oil extraction ­ liquids flowing through eff n, where `effective diameter' deff 0.3 nm, say. 2 � 10-7 m = 200 nm. In FD, we consider scales

Read, Peter L.

440

Appendix B. Glossary Appendix B. Glossary B-3  

E-Print Network [OSTI]

, or carbon, hydrogen, and chlorine, such as carbon tetrachloride, chloroform, and tetrachloroethene, temperature, period of contact, and other factors. chlorocarbons -- Compounds of carbon and chlorine

Pennycook, Steve

Note: This page contains sample records for the topic "b3 census region" 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

Appendix B: Glossary Appendix B: Glossary B-3  

E-Print Network [OSTI]

and chlorine, or carbon, hydrogen, and chlorine, such as carbon tetrachloride, chloroform of reagent, temperature, period of contact, and other factors. chlorocarbons -- Compounds of carbon

Pennycook, Steve

442

Appendix B. Glossary Appendix B. Glossary B-3  

E-Print Network [OSTI]

, or carbon, hydrogen, and chlorine, such as carbon tetrachloride, chlorofo, temperature, period of contact, and other factors. chlorocarbons -- Compounds of carbon and chlorine

Pennycook, Steve

443

Appendix B: Glossary Appendix B: Glossary B-3  

E-Print Network [OSTI]

, or carbon, hydrogen, and chlorine, such as carbon tetrachloride, chloroform, and tetrachloroethene, temperature, period of contact, and other factors. chlorocarbons -- Compounds of carbon and chlorine

Pennycook, Steve

444

Appendix B: Glossary Appendix B: Glossary B-3  

E-Print Network [OSTI]

, such as carbon tetrachloride, chloroform, and tetrachloroe factors. chlorocarbons -- Compounds of carbon and chlorine, or carbon, hydrogen, and chlorine

Pennycook, Steve

445

Categorical Exclusion Determinations: B3.1 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas254 Categorical56

446

Categorical Exclusion Determinations: B3.10 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas254 Categorical560

447

Categorical Exclusion Determinations: B3.11 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas254 Categorical5601

448

Categorical Exclusion Determinations: B3.12 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas254 Categorical56012

449

Categorical Exclusion Determinations: B3.13 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas254 Categorical560123

450

Categorical Exclusion Determinations: B3.14 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas254 Categorical5601234

451

Categorical Exclusion Determinations: B3.15 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas254 Categorical56012345

452

Categorical Exclusion Determinations: B3.16 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas254

453

Categorical Exclusion Determinations: B3.2 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas2542 Categorical

454

Categorical Exclusion Determinations: B3.3 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas2542 Categorical3

455

Categorical Exclusion Determinations: B3.4 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas2542 Categorical34

456

Categorical Exclusion Determinations: B3.5 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas2542 Categorical345

457

Categorical Exclusion Determinations: B3.6 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas2542 Categorical3456

458

Categorical Exclusion Determinations: B3.7 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas2542 Categorical34567

459

Categorical Exclusion Determinations: B3.8 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas2542 Categorical345678

460

Categorical Exclusion Determinations: B3.9 | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:JuneNovember 26, 2014 CX-100126A5Arkansas2542 Categorical3456789

Note: This page contains sample records for the topic "b3 census region" 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

Mid-Atlantic Regional Wind Energy Institute  

SciTech Connect (OSTI)

As the Department of Energy stated in its 20% Wind Energy by 2030 report, there will need to be enhanced outreach efforts on a national, state, regional, and local level to communicate wind development opportunities, benefits and challenges to a diverse set of stakeholders. To help address this need, PennFuture was awarded funding to create the Mid-Atlantic Regional Wind Energy Institute to provide general education and outreach on wind energy development across Maryland, Virginia, Delaware, Pennsylvania and West Virginia. Over the course of the two-year grant period, PennFuture used its expertise on wind energy policy and development in Pennsylvania and expanded it to other states in the Mid-Atlantic region. PennFuture accomplished this through reaching out and establishing connections with policy makers, local environmental groups, health and economic development organizations, and educational institutions and wind energy developers throughout the Mid-Atlantic region. PennFuture conducted two regional wind educational forums that brought together wind industry representatives and public interest organizations from across the region to discuss and address wind development in the Mid-Atlantic region. PennFuture developed the agenda and speakers in collaboration with experts on the ground in each state to help determine the critical issue to wind energy in each location. The sessions focused on topics ranging from the basics of wind development; model ordinance and tax issues; anti-wind arguments and counter points; wildlife issues and coalition building. In addition to in-person events, PennFuture held three webinars on (1) Generating Jobs with Wind Energy; (2) Reviving American Manufacturing with Wind Power; and (3) Wind and Transmission. PennFuture also created a web page for the institute (http://www.midatlanticwind.org) that contains an online database of fact sheets, research reports, sample advocacy letters, top anti-wind claims and information on how to address them, wind and wildlife materials and sample model ordinances. Video and presentations from each in-person meeting and webinar recordings are also available on the site. At the end of the two-year period, PennFuture has accomplished its goal of giving a unified voice and presence to wind energy advocates in the Mid-Atlantic region. We educated a broad range of stakeholders on the benefits of wind energy and gave them the tools to help make a difference in their states. We grew a database of over 500 contacts and hope to continue the discussion and work around the importance of wind energy in the region.

Courtney Lane

2011-12-20T23:59:59.000Z

462

A Hierarchical Evaluation of Regional Climate Simulations  

SciTech Connect (OSTI)

Global climate models (GCMs) are the primary tools for predicting the evolution of the climate system. Through decades of development, GCMs have demonstrated useful skill in simulating climate at continental to global scales. However, large uncertainties remain in projecting climate change at regional scales, which limit our ability to inform decisions on climate change adaptation and mitigation. To bridge this gap, different modeling approaches including nested regional climate models (RCMs), global stretch-grid models, and global high-resolution atmospheric models have been used to provide regional climate simulations (Leung et al. 2003). In previous efforts to evaluate these approaches, isolating their relative merits was not possible because factors such as dynamical frameworks, physics parameterizations, and model resolutions were not systematically constrained. With advances in high performance computing, it is now feasible to run coupled atmosphere-ocean GCMs at horizontal resolution comparable to what RCMs use today. Global models with local refinement using unstructured grids have become available for modeling regional climate (e.g., Rauscher et al. 2012; Ringler et al. 2013). While they offer opportunities to improve climate simulations, significant efforts are needed to test their veracity for regional-scale climate simulations.

Leung, Lai-Yung R.; Ringler, Todd; Collins, William D.; Taylor, Mark; Ashfaq, Moetasim

2013-08-20T23:59:59.000Z

463

Multilateral, regional and bilateral energy trade governance  

SciTech Connect (OSTI)

The current international energy trade governance system is fragmented and multi-layered. Streamlining it for greater legal cohesiveness and international political and economic cooperation would promote global energy security. The current article explores three levels of energy trade governance: multilateral, regional and bilateral. Most energy-rich countries are part of the multilateral trading system, which is institutionalized by the World Trade Organization (WTO). The article analyzes the multilateral energy trade governance system by focusing on the WTO and energy transportation issues. Regionally, the article focuses on five major regional agreements and their energy-related aspects and examines the various causes that explain the proliferation of regional trade agreements, their compatibility with WTO law, and then provides several examples of regional energy trade governance throughout the world. When it comes to bilateral energy trade governance, this article only addresses the European Union’s (EU) bilateral energy trade relations. The article explores ways in which gaps could be filled and overlaps eliminated whilst remaining true to the high-level normative framework, concentrating on those measures that would enhance EU energy security.

Leal-Arcas, Rafael; Grasso, Costantino; Rios, Juan Alemany (Queen Mary Univ. of London (United Kingdom))

2014-12-01T23:59:59.000Z

464

IS ACTIVE REGION CORE VARIABILITY AGE DEPENDENT?  

SciTech Connect (OSTI)

The presence of both steady and transient loops in active region cores has been reported from soft X-ray and extreme-ultraviolet observations of the solar corona. The relationship between the different loop populations, however, remains an open question. We present an investigation of the short-term variability of loops in the core of two active regions in the context of their long-term evolution. We take advantage of the nearly full Sun observations of STEREO and Solar Dynamics Observatory spacecraft to track these active regions as they rotate around the Sun multiple times. We then diagnose the variability of the active region cores at several instances of their lifetime using EIS/Hinode spectral capabilities. We inspect a broad range of temperatures, including for the first time spatially and temporally resolved images of Ca XIV and Ca XV lines. We find that the active region cores become fainter and steadier with time. The significant emission measure at high temperatures that is not correlated with a comparable increase at low temperatures suggests that high-frequency heating is viable. The presence, however, during the early stages, of an enhanced emission measure in the ''hot'' (3.0-4.5 MK) and ''cool'' (0.6-0.9 MK) components suggests that low-frequency heating also plays a significant role. Our results explain why there have been recent studies supporting both heating scenarios.

Ugarte-Urra, Ignacio [College of Science, George Mason University, 4400 University Drive, Fairfax, VA 22030 (United States); Warren, Harry P. [Space Science Division, Naval Research Laboratory, Washington, DC 20375 (United States)

2012-12-10T23:59:59.000Z

465

SPECTRAL CLASSIFICATION OF THE BRIGHTEST OBJECTS IN THE GALACTIC STAR-FORMING REGION W40  

SciTech Connect (OSTI)

We present high signal-to-noise, moderate resolution (R Almost-Equal-To 2000) near-infrared spectra, as well as 10 {mu}m imaging, for the brightest members of the central stellar cluster in the W40 H II region, obtained using the SpeX and MIRSI instruments at NASA's Infrared Telescope Facility. Using these observations combined with archival Spitzer Space Telescope data, we have determined the spectral classifications, extinction, distances, and spectral energy distributions (SEDs) for the brightest members of the cluster. Of the eight objects observed, we identify four main-sequence (MS) OB stars (one late-O, three early-B), two Herbig Ae/Be stars, and two low-mass young stellar objects (Class II). Strong He I absorption at 1.083 {mu}m in the MS star spectra strongly suggests that at least some of these sources are in fact close binaries. Two out of the four MS stars also show significant infrared excesses typical of circumstellar disks. Extinctions and distances were determined for each MS star by fitting model stellar atmospheres to the SEDs. We estimate a distance to the cluster of between 455 and 535 pc, which agrees well with earlier (but far less precise) distance estimates. We conclude that the late-O star we identify is the dominant source of Lyman continuum luminosity needed to power the W40 H II region and is the likely source of the stellar wind that has blown a large ( Almost-Equal-To 4 pc) pinched-waist bubble observed in wide-field mid-IR images. We also suggest that 3.6 cm radio emission observed from some of the sources in the cluster is likely not due to emission from ultracompact H II regions, as suggested in other work, due to size constraints based on our derived distance to the cluster. Finally, we also present a discussion of the curious source IRS 3A, which has a very strong mid-IR excess (despite its B3 MS classification) and appears to be embedded in a dusty envelope roughly 2700 AU in size.

Shuping, R. Y. [Space Science Institute, Boulder, CO (United States); Vacca, William D. [Universities Space Research Association, Stratospheric Observatory for Infrared Astronomy, NASA Ames Research Center, MS 211-3, Moffett Field, CA 94035 (United States); Kassis, Marc [W. M. Keck Observatory, 65-1120 Mamalahoa Hwy., Kamuela, HI 96743 (United States); Yu, Ka Chun, E-mail: rshuping@spacescience.org [Denver Museum of Nature and Science, 2001 Colorado, Denver, CO 80205-5798 (United States)

2012-10-01T23:59:59.000Z

466

Microsoft Word - DOE-ID-12-039 ORNL EC B3-6 B3-10.doc  

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

Siting, construction, modification, operation, and decommissioning of particle accelerators, including electron beam accelerators, with primary beam energy less than...

467

Microsoft Word - DOE-ID-12-035 BNL EC B3-6 B3-10.doc  

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

Siting, construction, modification, operation, and decommissioning of particle accelerators, including electron beam accelerators, with primary beam energy less than...

468

Microsoft Word - DOE-ID-12-037 LANL EC B3-6 B3-10.doc  

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

steels with optimized high-temperature strength, ductility, creep resistance, corrosion resistance, and affordability. The effectiveness of the nanoscale precipitates for...

469

Microsoft Word - DOE-ID-12-033 Nebraska EC B3-6 B3-10.doc  

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

3 SECTION A. Project Title: Radiation tolerance and mechanical properties of nanostructured ceramicmetal composites - University of Nebraska SECTION B. Project Description This...

470

Microsoft Word - 1DOE-ID-12-046 AREVA EC B3-6 B3-15.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challenge fundProject QuarterlyDepartmentConducting1, 2014 DOE-ID:976

471

Microsoft Word - DOE-ID-12-033 Nebraska EC B3-6 B3-10.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challenge fundProject8 - Outline andPROPOSAL6 SECTION A.29102058303

472

Microsoft Word - DOE-ID-12-035 BNL EC B3-6 B3-10.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challenge fundProject8 - Outline andPROPOSAL6 SECTION A.2910205830345

473

Microsoft Word - DOE-ID-12-037 LANL EC B3-6 B3-10.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challenge fundProject8 - Outline andPROPOSAL6 SECTION A.291020583034567

474

Microsoft Word - DOE-ID-12-038 NC State EC B3-6 B3-10.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challenge fundProject8 - Outline andPROPOSAL6 SECTION A.2910205830345678

475

Microsoft Word - DOE-ID-12-039 ORNL EC B3-6 B3-10.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challenge fundProject8 - Outline andPROPOSAL6 SECTION

476

Microsoft Word - DOE-ID-14-034 MIT EC B3-6 B3-16.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challenge fundProject8 - Outline andPROPOSAL6 SECTION4079162473 SECTION4

477

Future regional climate change in the ten hydrologic regions of California: A climate modeling investigation  

E-Print Network [OSTI]

snow accumulation (mm snow water equivalent) by region.Bell, J.L. , Jour. American Water Resources Assoc. , 591-CO, 1993. Department of Water Resources (DWR), California

Sloan, Lisa C

2005-01-01T23:59:59.000Z

478

Census of transient orbital resonances encountered during binary inspiral  

E-Print Network [OSTI]

Transient orbital resonances have recently been identified as potentially important to the inspiral of small bodies into large black holes. These resonances occur as the inspiral evolves through moments in which two ...

Ruangsri, Uchupol

479

Course Enrollment by College -Census West Lafayette -Summer 2009  

E-Print Network [OSTI]

1 1 4 CHM11600 General Chemistry 1 6 1 3 11 CHM26400 Organic Chemistry Lab 1 1 COM11400 Fundament 1 1 CAND99200 Degree Only 1 11 12 CDFS25500 Intro Couple & Fam Rel 1 1 CHM11500 General Chemistry 2 American Books 1 2 3 ENGL36000 Gender And Literature 1 1 ENGL36600 Postcolonial Lit 1 1 ENGL42000 Business

Pittendrigh, Barry

480

A Cosmic Census of Radio Pulsars with the SKA  

E-Print Network [OSTI]

The Square Kilometre Array (SKA) will make ground breaking discoveries in pulsar science. In this chapter we outline the SKA surveys for new pulsars, as well as how we will perform the necessary follow-up timing observations. The SKA's wide field-of-view, high sensitivity, multi-beaming and sub-arraying capabilities, coupled with advanced pulsar search backends, will result in the discovery of a large population of pulsars. These will enable the SKA's pulsar science goals (tests of General Relativity with pulsar binary systems, investigating black hole theorems with pulsar-black hole binaries, and direct detection of gravitational waves in a pulsar timing array). Using SKA1-MID and SKA1-LOW we will survey the Milky Way to unprecedented depth, increasing the number of known pulsars by more than an order of magnitude. SKA2 will potentially find all the Galactic radio-emitting pulsars in the SKA sky which are beamed in our direction. This will give a clear picture of the birth properties of pulsars and of the gr...

Keane, E F; Kramer, M; Stappers, B W; Bates, S D; Burgay, M; Chatterjee, S; Champion, D J; Eatough, R P; Hessels, J W T; Janssen, G; Lee, K J; van Leeuwen, J; Margueron, J; Oertel, M; Possenti, A; Ransom, S; Theureau, G; Torne, P

2015-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "b3 census region" 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

Importing the US 1990 Census Data into a Relational DBMS  

E-Print Network [OSTI]

. of Computing, Imperial College, 180 Queen's Gate, London SW7 2BZ pjm@doc.ic.ac.uk Tuesday 9 th April 2002 1

McBrien, Peter

482

Census 2000 Demographic Rankings Tables Allegheny County Municipalities  

E-Print Network [OSTI]

Neville 1,232 46 Oakmont 6,911 111 Heidelberg 1,225 47 Forest Hills 6,831 112 Lincoln 1,218 #12;48 Indiana Pittsburgh City 334,563 66 Mount Oliver 3,970 2 Penn Hills 46,809 67 Etna 3,924 3 Bethel Park 33,556 68 Dravosburg 2,015 30 Jefferson 9,666 95 Braddock Hills 1,998 31 Swissvale 9,653 96 Ben Avon 1,917 32 Dormont 9

Sibille, Etienne

483

Section Enrollment Report (CENSUS) -Table of Contents Subject Description  

E-Print Network [OSTI]

-Aerospace Studies AGEC AGEC-Agricultural Economics AGR AGR-Agriculture AGRY AGRY-Agronomy AMST AMST-American Studies ASL-American Sign Language ASM ASM-Agricultural Systems Mgmt ASTR ASTR-Astronomy AT AT-Engr Proj Cmity Service FNR FNR-Forestry&Natural Resources FR FR-French FS FS-Food Science FVS FVS-Film

Ginzel, Matthew

484

Section Enrollment Report (CENSUS) -Table of Contents Subject Description  

E-Print Network [OSTI]

-Aerospace Studies AGEC AGEC-Agricultural Economics AGR AGR-Agriculture AGRY AGRY-Agronomy AMST AMST-American Studies ASL-American Sign Language ASM ASM-Agricultural Systems Mgmt ASTR ASTR-Astronomy AT AT-Food Science FVS FVS-Film And Video Studies GEP GEP-Global Engineering Program GER GER-German GRAD GRAD

Ginzel, Matthew

485

Section Enrollment Report (CENSUS) -Table of Contents Subject Description  

E-Print Network [OSTI]

Engineering ABE ABE-Agri & Biol Engineering AD AD-Art & Design AGEC AGEC-Agricultural Economics AGR AGR-Agriculture-American Sign Language ASM ASM-Agricultural Systems Mgmt AT AT-Aviation Technology BAND BAND-Bands BCHM BCHM Service FNR FNR-Forestry&Natural Resources FR FR-French FS FS-Food Science FVS FVS-Film And Video Studies

Ginzel, Matthew

486

Section Enrollment Report (CENSUS) -Table of Contents Subject Description  

E-Print Network [OSTI]

-Aerospace Studies AGEC AGEC-Agricultural Economics AGR AGR-Agriculture AGRY AGRY-Agronomy AMST AMST-American Studies ASL-American Sign Language ASM ASM-Agricultural Systems Mgmt ASTR ASTR-Astronomy AT AT-French FS FS-Food Science FVS FVS-Film And Video Studies GEP GEP-Global Engineering Program GER GER

Ginzel, Matthew

487

Section Enrollment Report (CENSUS) -Table of Contents Subject Description  

E-Print Network [OSTI]

-Aerospace Studies AGEC AGEC-Agricultural Economics AGR AGR-Agriculture AGRY AGRY-Agronomy AMST AMST-American Studies ASL-American Sign Language ASM ASM-Agricultural Systems Mgmt ASTR ASTR-Astronomy AT AT-Foods And Nutrition FNR FNR-Forestry&Natural Resources FR FR-French FS FS-Food Science FVS FVS-Film And Video Studies

Ginzel, Matthew

488

Flexible nurse staffing based on hourly bed census predictions  

E-Print Network [OSTI]

during the upcoming years. Keywords. Probability; workforce planning; inpatient care; nurse interaction between staffing requirements and several interrelated planning issues such as case mix, care unit partition- ing and size, and surgical block planning. Inspired by the numerical results, the AMC decided

Boucherie, Richard J.

489

http://factfinder.census.gov/servlet/MetadataBrowserServlet?typ  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review PART 51-REQUIREMENTSI P155F

490

http://factfinder.census.gov/servlet/MetadataBrowserServlet?typ  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Reviewwill help prepareA Review PART 51-REQUIREMENTSI P155FI

491

Table 38. Coal Stocks at Coke Plants by Census Division  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary: ReportedEnergyChanges

492

National Solar Schools Census 2014 | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAXBalanced Scorecard Federal2 to:DieselEnergyHydrogen Storage1,Service

493

Wade Hampton Census Area, Alaska: Energy Resources | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov PtyInformationSEDS data Jump to:Wabaunsee County,

494

Bethel Census Area, Alaska: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin: Energy ResourcesJersey: EnergyBerthoud, Colorado:774° Loading map...

495

Yukon-Koyukuk Census Area, Alaska: Energy Resources | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperative JumpWilliamsonWoodsonCounty is aYoakumYu Energy Corp

496

Aleutians West Census Area, Alaska: Energy Resources | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160 East 300 SouthWaterBrasilInformation 5-01Alchem LtdAlden,Aleutians

497

Light emitting device having peripheral emissive region  

DOE Patents [OSTI]

Light emitting devices are provided that include one or more OLEDs disposed only on a peripheral region of the substrate. An OLED may be disposed only on a peripheral region of a substantially transparent substrate and configured to emit light into the substrate. Another surface of the substrate may be roughened or include other features to outcouple light from the substrate. The edges of the substrate may be beveled and/or reflective. The area of the OLED(s) may be relatively small compared to the substrate surface area through which light is emitted from the device. One or more OLEDs also or alternatively may be disposed on an edge of the substrate about perpendicular to the surface of the substrate through which light is emitted, such that they emit light into the substrate. A mode expanding region may be included between each such OLED and the substrate.

Forrest, Stephen R

2013-05-28T23:59:59.000Z

498

Extended emission associated with young HII regions  

E-Print Network [OSTI]

We have used the Australia Telescope Compact Array (ATCA) to make observations of a sample of eight young ultra-compact HII regions, selected on the basis that they have associated class II methanol maser emission. We have made observations sensitive to both compact and extended structures and find both to be present in most sources. The scale of the extended emission in our sample is in general less than that observed towards samples based on IRAS properties, or large single-dish flux densities. Our observations are consistent with a scenario where extended and compact radio continuum emission coexists within HII regions for a significant period of time. We suggest that these observations are consistent with a model where HII evolution takes place within hierarchically structured molecular clouds. This model is the subject of a companion paper (Shabala et al. 2005) and addresses both the association between compact and extended emission and UCHII region lifetime problem.

S. P. Ellingsen; S. S. Shabala; S. E. Kurtz

2004-12-06T23:59:59.000Z

499

SOUTHWEST REGIONAL PARTNERSHIP ON CARBON SEQUESTRATION  

SciTech Connect (OSTI)

The Southwest Partnership Region includes six whole states, including Arizona, Colorado, Kansas, New Mexico, Oklahoma, and Utah, roughly one-third of Texas, and significant portions of adjacent states. The Partnership comprises a large, diverse group of expert organizations and individuals specializing in carbon sequestration science and engineering, as well as public policy and outreach. The main objective of the Southwest Partnership project is to achieve an 18% reduction in carbon intensity by 2012. The Partnership made great progress in this first year. Action plans for possible Phase II carbon sequestration pilot tests in the region are almost finished, including both technical and non-technical aspects necessary for developing and carrying out these pilot tests. All partners in the Partnership are taking an active role in evaluating and ranking optimum sites and technologies for capture and storage of CO{sub 2} in the Southwest Region. We are identifying potential gaps in all aspects of potential sequestration deployment issues.

Brian McPherson; Rick Allis; Barry Biediger; Joel Brown; Jim Cappa; George Guthrie; Richard Hughes; Eugene Kim; Robert Lee; Dennis Leppin; Charles Mankin; Orman Paananen; Rajesh Pawar; Tarla Peterson; Steve Rauzi; Jerry Stuth; Genevieve Young

2004-11-01T23:59:59.000Z

500

FY08 LDRD Final Report Regional Climate  

SciTech Connect (OSTI)

An integrated, multi-model capability for regional climate change simulation is needed to perform original analyses to understand and prepare for the impacts of climate change on the time and space scales that are critical to California's future environmental quality and economic prosperity. Our intent was to develop a very high resolution regional simulation capability to address consequences of climate change in California to complement the global modeling capability that is supported by DOE at LLNL and other institutions to inform national and international energy policies. The California state government, through the California Energy Commission (CEC), institutionalized the State's climate change assessment process through its biennial climate change reports. The bases for these reports, however, are global climate change simulations for future scenarios designed to inform international policy negotiations, and are primarily focused on the global to continental scale impacts of increasing emissions of greenhouse gases. These simulations do not meet the needs of California public and private officials who will make major decisions in the next decade that require an understanding of climate change in California for the next thirty to fifty years and its effects on energy use, water utilization, air quality, agriculture and natural ecosystems. With the additional development of regional dynamical climate modeling capability, LLNL will be able to design and execute global simulations specifically for scenarios important to the state, then use those results to drive regional simulations of the impacts of the simulated climate change for regions as small as individual cities or watersheds. Through this project, we systematically studied the strengths and weaknesses of downscaling global model results with a regional mesoscale model to guide others, particularly university researchers, who are using the technique based on models with less complete parameterizations or coarser spatial resolution. Further, LLNL has now built a capability in state-of-the-science mesoscale climate modeling that complements that which it has in global climate simulation, providing potential sponsors with an end-to-end simulation and analysis program.

Bader, D C; Chin, H; Caldwell, P M

2009-05-19T23:59:59.000Z