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Sample records for kanawha county wv

  1. ORTHOIMAGERY, CLAY COUNTY, WV, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — NAIP is a program to acquire peak growing season ?leaf on? imagery, and deliver this imagery to USDA County Service Centers, in order to maintain the common land...

  2. A History of the Kanawha County Textbook Controversy, April 1974-April 1975.

    Science.gov (United States)

    Candor, Catherine Ann

    The background of the Kanawha County, language arts textbook controversy is described, and several factors are examined as possible precipitating elements in the controversy. The major actions, reactions, and occurrences in Kanawha County from April 1974 to April 1975 are reported, and various sources are used to document positions taken by…

  3. ORTHOIMAGERY, BOONE COUNTY,WV, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — NAIP is a program to acquire peak growing season ?leaf on? imagery, and deliver this imagery to USDA County Service Centers, in order to maintain the common land...

  4. A comparative ecological study of selected cancers in Kanawha County, West Virginia

    Energy Technology Data Exchange (ETDEWEB)

    Day, R.; Talbott, E.O.; Marsh, G.M.; Case, B.W. (Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pennsylvania (United States))

    1992-01-01

    This study compares mortality rates for selected causes of death in Kanawha County, West Virginia, to rates reported in a number of geographically defined populations for 1950-1984. Specific conditions selected for study included cancers of the biliary passages and liver, the bladder and other urinary organs, and the central nervous system (CNS), as well as leukemia and aleukemia, lymphosarcoma and reticulosarcoma, Hodgkin's disease, and cancer of all other lymphopoietic tissue. The analysis made use of several techniques for the investigation of ecological data, including the modeling of rates using Poission regression. The primary findings of this study concern two subgroups of cancers of the lymphatic and hematopoietic tissue: (1) leukemia and aleukemia, and (2) lymphosarcoma and reticulosarcoma. For both subgroups of cancers, white male residents of Kanawha County show evidence of significantly elevated mortality rates over the 35-year period of this study.

  5. Fayette County, WV Case Study: A Look at the Movement towards Energy and Water Efficiency

    OpenAIRE

    2010-01-01

    The focal area for this study is Fayette County, West Virginia. Using a qualitative semi-structured interview process, information was gathered so as to present a clear overview of what both the private and public sector are doing with regard to energy and/or water efficiency within the county. Given the pervasive nature of the issue of efficiency, interviewees were encouraged to describe their agency or organizational efforts as it relates to what they thought “energy and/or water efficiency...

  6. 76 FR 28312 - Safety Zones; Fireworks Display Kanawha River, WV

    Science.gov (United States)

    2011-05-17

    ... Federal Register (73 FR 3316). Public Meeting We do not now plan to hold a public meeting. But you may... West Virginia Special Olympics Fireworks Display, is located between mile 57.9 and 58.9 in Charleston... of Energy Effects under Executive Order 13211. Technical Standards The National Technology...

  7. Analysis of Hydrodynamic Interaction Between HMCS FREDERICTON and USNS KANAWHA

    Science.gov (United States)

    HMCS FREDERICTON collided with USNS KANAWHA on 18 November 2010 while FREDERICTON was approaching KANAWHA for replenishment at sea. The ships were in...in causing a collision between FREDERICTON and KANAWHA. In the present report, the non-dimensional lateral separation is defined as the lateral...separation distance divided by the beam of the larger ship. FREDERICTON and KANAWHA had a non-dimensional lateral separation of 3.0 when FREDERICTON

  8. 27 CFR 9.111 - Kanawha River Valley.

    Science.gov (United States)

    2010-04-01

    ...., dated 1958; (12) Sissonville, W. Va., dated 1958; (13) Romance, W. Va.,—Ky., dated 1957; (14) Kentuck, W... Johns Branch and Sugar Creek in the town of Romance, in Jackson County, WV. (Romance quadrangle) (8) The...

  9. ORTHOIMAGERY, Pleasants COUNTY,WV, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation has been mathematically...

  10. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, RALEIGH COUNTY, WV, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk...

  11. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, RANDOLPH COUNTY, WV, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk...

  12. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, MINERAL COUNTY, WV, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk...

  13. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, LINCOLN COUNTY, WV, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk...

  14. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, Upshur County, WV, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk...

  15. Operationalizing Triangulation in Naturalistic Evaluation: Community Education in Kanawha County (WVA).

    Science.gov (United States)

    Schwartz, Terry Ann; Kaplan, Michael H.

    The benefits accrued through the use of triangulation as both a design strategy and an analytic tool cannot be overstated. Triangulation allows for the clustering and organizing of disparate yet related data. Finding out what the data have in common and how the data are different allow the researcher to eliminate (or reduce) the number of…

  16. Review of De Young,"Life & Death of a Rural American High School: Farewell Little Kanawha"

    Directory of Open Access Journals (Sweden)

    Craig Howley

    1995-03-01

    Full Text Available lan DeYoung's story of the circumstances surrounding the birth, growth, and death of a high school in rural West Virginia is an intellectual contribution of the first order. And Farewell Little Kanawha is certainly one of the best stories to be told by an educational researcher in recent decades. Its strength derives in large measure from DeYoung's deftness in crossing disciplinary borders. The interplay of economics, sociology, history (both oral and documentary, anthropology, and biography render this story far more compelling than most educational research. DeYoung bases his narrative, in fact, on C. Wright Mills' precept that social science worth doing must interpret the intersection of biography and history. Mills was the wisest and best American sociologist and DeYoung is among a very small contingent of scholars concerned with rural education to embrace his advice.

  17. TIGER/Line Shapefile, 2013, county, Calhoun County, WV, Current Address Ranges Relationship File

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master...

  18. TIGER/Line Shapefile, 2013, county, Raleigh County, WV, Current Address Ranges Relationship File

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master...

  19. 76 FR 80230 - Amendment of Class E Airspace; Huntington, WV

    Science.gov (United States)

    2011-12-23

    ..., WV (76 FR 64295) Docket No. FAA-2011-1057. Interested parties were invited to participate in this... ``significant rule'' under DOT Regulatory Policies and Procedures (44 FR 11034; February 26, 1979); and (3) does... FR 9565, 3 CFR, 1959-1963 Comp., p. 389. Sec. 71.1 0 2. The incorporation by reference in 14 CFR...

  20. Physical heterogeneity and aquatic community function in river networks: A case study from the Kanawha River Basin, USA

    Science.gov (United States)

    Thoms, M. C.; Delong, M. D.; Flotemersch, J. E.; Collins, S. E.

    2017-08-01

    The geomorphological character of a river network provides the template upon which evolution acts to create unique biological communities. Deciphering commonly observed patterns and processes within riverine landscapes resulting from the interplay between physical and biological components is a central tenet for the interdisciplinary field of river science. Relationships between the physical heterogeneity and food web character of functional process zones (FPZs) - large tracts of river with a similar geomorphic character -in the Kanawha River (West Virginia, USA) are examined in this study. Food web character was measured as food chain length (FCL), which reflects ecological community structure and ecosystem function. Our results show that the same basal resources were present throughout the Kanawha River but that their assimilation into the aquatic food web by primary consumers differed between FPZs. Differences in the trophic position of higher consumers (fish) were also recorded between FPZs. Overall, the morphological heterogeneity and heterogeneity of the river bed sediment of FPZs were significantly correlated with FCL. Specifically, FCL increases with greater FPZ physical heterogeneity. The result of this study does not support the current paradigm that ecosystem size is the primary determinant of food web character in river ecosystems.

  1. Parcels and Land Ownership, Published in 2011, Ritchie County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Ritchie County, WV. This metadata was auto-generated through the Ramona...

  2. 75 FR 55612 - TRG Insurance Solutions, LLC; Beckley, WV; Notice of Affirmative Determination Regarding...

    Science.gov (United States)

    2010-09-13

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF LABOR Employment and Training Administration TRG Insurance Solutions, LLC; Beckley, WV; Notice of Affirmative... Solutions, LLC, Beckley, West Virginia (subject firm). The negative determination was issued on July...

  3. 76 FR 7584 - Matthews International Corporation, Bronze Division, Kingwood, WV; Notice of Affirmative...

    Science.gov (United States)

    2011-02-10

    ... Employment and Training Administration Matthews International Corporation, Bronze Division, Kingwood, WV... workers and former workers of Matthews International Corporation, Bronze Division, Kingwood, West Virginia... activities related to the production of bronze burial markers and memorial products. In the request...

  4. COHORT OF WOMEN LIVING IN OR NEAR A HIGHLY INDUSTRIALIZED AREA OF KANAWHA RIVER VALLEY IN WEST VIRGINIA: ENDOMETRIOSIS AND BLOOD LEVELS OF DIOXIN AND DIOXIN-LIKE CHEMICALS

    Science.gov (United States)

    Introduction Historical releases of dioxin and dioxin-like chemicals with subsequent impacts to environmental media in the Kanawha River Valley (KRV) of West Virginia have been well documented.' The bulk of dioxin found in this area appears to be derived from the production of 2,...

  5. ENDOMETRIOSIS IN A COHORT OF WOMEN LIVING IN THE KANAWHA RIVER VALLEY IN WEST VIRGINIA: BLOOD LEVELS OF NON-DIOXIN-LIKE PCBs AND RELATIONSHIP WITH BMI AND AGE

    Science.gov (United States)

    Industrial activities, specifically from petroleum and chemical manufacturing facilities, in the Kanawha River Valley (KRV) of West Virginia have resulted in releases of dioxin and dioxin-like chemicals (DLCs). I Most of the dioxin found in this region has resulted from the produ...

  6. COHORT OF WOMEN LIVING IN OR NEAR A HIGHLY INDUSTRIALIZED AREA OF KANAWHA RIVER VALLEY IN WEST VIRGINIA: ENDOMETRIOSIS AND BLOOD LEVELS OF DIOXIN AND DIOXIN-LIKE CHEMICALS

    Science.gov (United States)

    Introduction Historical releases of dioxin and dioxin-like chemicals with subsequent impacts to environmental media in the Kanawha River Valley (KRV) of West Virginia have been well documented.' The bulk of dioxin found in this area appears to be derived from the production of 2,...

  7. ENDOMETRIOSIS IN A COHORT OF WOMEN LIVING IN THE KANAWHA RIVER VALLEY IN WEST VIRGINIA: BLOOD LEVELS OF NON-DIOXIN-LIKE PCBs AND RELATIONSHIP WITH BMI AND AGE

    Science.gov (United States)

    Industrial activities, specifically from petroleum and chemical manufacturing facilities, in the Kanawha River Valley (KRV) of West Virginia have resulted in releases of dioxin and dioxin-like chemicals (DLCs). I Most of the dioxin found in this region has resulted from the produ...

  8. Exploring Climate Science with WV Educators: A Regional Model for Teacher Professional Development

    Science.gov (United States)

    Ruberg, L. F.; Calinger, M.

    2014-12-01

    The National Research Council Framework for K-12 Science Literacy reports that children reared in rural agricultural communities, who experience regular interactions with plants and animals, develop more sophisticated understanding of ecology and biological systems than do urban and suburban children of the same age. West Virginia (WV) is a rural state. The majority of its residents live in communities of fewer than 2,500 people. Based on the features of the population being served and their unique strengths, this presentation focuses on a regional model for teacher professional development that addresses agricultural and energy vulnerabilities and adaptations to climate change in WV. The professional development model outlined shows how to guide teachers to use a problem-based learning approach to introduce climate data and analysis techniques within a scenario context that is locally meaningful. This strategy engages student interest by focusing on regional and community concerns. Climate science standards are emphasized in the Next Generation Science Standards, but WV has not provided its teachers with appropriate instructional resources to meet those standards. The authors addressed this need by offering a series of climate science education workshops followed by online webinars offered to WV science educators free of charge with funding by the West Virginia Space Grant Consortium. The authors report on findings from this series of professional development workshops conducted in partnership with the West Virginia Science Teachers Association. The goal was to enhance grades 5-12 teaching and learning about climate change through problem-based learning. Prior to offering the climate workshops, all WV science educators were asked to complete a short questionnaire. As Figure 1 shows, over 40% of the teacher respondents reported being confident in teaching climate science content. For comparison post workshops surveys measure teacher confidence in climate science

  9. Establishment Report for Permanent Vegetation Monitoring Plots Inside and Outside Deer Exclosures in Canaan Valley, Tucker County, West Virginia

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Two deer exclosures were built in Canaan Valley, Tucker County, WV in the fall of 2001 to protect young balsam fir (Abies balsamea) and to study and demonstrate the...

  10. (21238) 1995 WV7: A New Basaltic Asteroid Outside the 3:1 Mean Motion Resonance

    CERN Document Server

    Hammergren, M; Puckett, A; Hammergren, Mark; Gyuk, Geza; Puckett, Andrew

    2006-01-01

    We report visible to near-infrared spectroscopy and spectrophotometry of asteroid (21238) 1995 WV7 that reveal the presence of deep absorption bands indicating a V taxonomic type with an apparently basaltic surface composition. Since this asteroid is on the other side of the 3:1 mean motion resonance from Vesta, and because the required ejection velocity from Vesta is in excess of 1.6 km s-1, we conclude that 21238 represents a sample of a differentiated body dynamically unrelated to Vesta.

  11. County Spending

    Data.gov (United States)

    Montgomery County of Maryland — This dataset includes County spending data for Montgomery County government. It does not include agency spending. Data considered sensitive or confidential and will...

  12. Creep-rupture behavior of 3Cr-3W-V bainitic steels

    Energy Technology Data Exchange (ETDEWEB)

    Klueh, R.L. [Oak Ridge National Laboratory, TN 37831-6138 (United States)]. E-mail: kluehrl@ornl.gov; Evans, N.D. [Oak Ridge National Laboratory, TN 37831-6138 (United States); Maziasz, P.J. [Oak Ridge National Laboratory, TN 37831-6138 (United States); Sikka, V.K. [Oak Ridge National Laboratory, TN 37831-6138 (United States)

    2007-01-15

    A nominally Fe-3.0Cr-3.0W-0.25 V (3Cr-3WV) steel and this composition with 0.07% Ta (3Cr-3WVTa) were developed for elevated-temperature service in the power-generation and petrochemical industries. Creep-rupture strengths of the new steels to 600 deg. C exceeded those of the two advanced commercial 2.25Cr steels T23 (Fe-2.25Cr-1.6W-0.25V-0.05Nb-0.07C) and T24 (Fe-2.25Cr-1.0Mo-0.25V-0.07Ti-0.005B-0.07C). Moreover, the strength of 3Cr-3WVTa approached that of modified 9Cr-1Mo (T91) at 650 deg. C. Elevated-temperature strength in the new steels is obtained from a bainitic microstructure with a high number density of fine needle-like MX precipitates in the matrix. The presence of tantalum promotes a finer MX precipitate in the 3Cr-3WVTa than in the 3Cr-3WV, and it suppresses the coarsening of these fine precipitates during creep.

  13. Effectiveness of disinfection with alcohol 70% (w/v of contaminated surfaces not previously cleaned

    Directory of Open Access Journals (Sweden)

    Maurício Uchikawa Graziano

    2013-04-01

    Full Text Available OBJECTIVE: To evaluate the disinfectant effectiveness of alcohol 70% (w/v using friction, without previous cleaning, on work surfaces, as a concurrent disinfecting procedure in Health Services. METHOD: An experimental, randomized and single-blinded laboratory study was undertaken. The samples were enamelled surfaces, intentionally contaminated with Serratia marcescens microorganisms ATCC 14756 106 CFU/mL with 10% of human saliva added, and were submitted to the procedure of disinfection WITHOUT previous cleaning. The results were compared to disinfection preceded by cleaning. RESULTS: There was a reduction of six logarithms of the initial microbial population, equal in the groups WITH and WITHOUT previous cleaning (p=0.440 and a residual microbial load ≤ 102 CFU. CONCLUSION: The research demonstrated the acceptability of the practice evaluated, bringing an important response to the area of health, in particular to Nursing, which most undertakes procedures of concurrent cleaning /disinfecting of these work surfaces.

  14. Quantitative relationship between Meteosat WV data and positive potential vorticity anomalies: a case study over the Mediterranean

    Science.gov (United States)

    Georgiev, Christo G.

    1999-06-01

    The correlation between Meteosat water vapour (WV) data and positive anomalies of potential vorticity (PV) is investigated using a case study involving cyclogenesis in the Alpine region and a north-west African depression. Correlation analyses are performed at different isobaric surfaces in the middle and upper troposphere for two latitudinal belts (25 35° N ‘southern’, and 35 52.5°N ‘northern’). A significant correlation is obtained at 500 hPa (correlation coefficient range: 0.58 0.64). Linear regression models are fitted to the samples from the northern and southern belts. On the basis of these results, the use of WV data as a tool for detection of errors in model-derived PV fields is discussed. It is concluded that, though some of the discrepancies between PV fields and WV images could be due to errors in the model analysis or prognosis, some mismatches are possibly due to the variable sensitivity of the WV channel because of the changes in pressure over the commonly used PV fields. It is suggested that the comparison of WV data with the field of positive PV anomalies at 500 hPa might be another approach to help solve the problem of verifying and validating numerical output.

  15. Enhanced Reconstitution of Human Erythropoiesis and Thrombopoiesis in an Immunodeficient Mouse Model with KitWv Mutations

    Directory of Open Access Journals (Sweden)

    Ayano Yurino

    2016-09-01

    Full Text Available In human-to-mouse xenograft models, reconstitution of human hematopoiesis is usually B-lymphoid dominant. Here we show that the introduction of homozygous KitWv mutations into C57BL/6.Rag2nullIl2rgnull mice with NOD-Sirpa (BRGS strongly promoted human multi-lineage reconstitution. After xenotransplantation of human CD34+CD38− cord blood cells, these newly generated C57BL/6.Rag2nullIl2rgnullNOD-Sirpa KitWv/Wv (BRGSKWv/Wv mice showed significantly higher levels of human cell chimerism and long-term multi-lineage reconstitution compared with BRGS mice. Strikingly, this mouse displayed a robust reconstitution of human erythropoiesis and thrombopoiesis with terminal maturation in the bone marrow. Furthermore, depletion of host macrophages by clodronate administration resulted in the presence of human erythrocytes and platelets in the circulation. Thus, attenuation of mouse KIT signaling greatly enhances the multi-lineage differentiation of human hematopoietic stem and progenitor cells (HSPCs in mouse bone marrow, presumably by outcompeting mouse HSPCs to occupy suitable microenvironments. The BRGSKWv/Wv mouse model is a useful tool to study human multi-lineage hematopoiesis.

  16. La{sub 2}O{sub 3}-reinforced W and W-V alloys produced by hot isostatic pressing

    Energy Technology Data Exchange (ETDEWEB)

    Munoz, A., E-mail: angel.munoz@uc3m.es [Departamento de Fisica, Universidad Carlos III de Madrid, 28911 Leganes (Spain); Monge, M.A., E-mail: mmonge@fis.uc3m.es [Departamento de Fisica, Universidad Carlos III de Madrid, 28911 Leganes (Spain); Savoini, B., E-mail: bsavoi@fis.uc3m.es [Departamento de Fisica, Universidad Carlos III de Madrid, 28911 Leganes (Spain); Rabanal, M.E., E-mail: eugenia@ing.uc3m.es [Departamento de Ciencia e Ingenieria de Materiales e Ingenieria Quimica, Universidad Carlos III de Madrid, 28911 Leganes (Spain); Garces, G., E-mail: ggarces@cenim.csic.es [Centro Nacional de Investigaciones Melaturgicas, CENIM, 28040 Madrid (Spain); Pareja, R., E-mail: rpp@fis.uc3m.es [Departamento de Fisica, Universidad Carlos III de Madrid, 28911 Leganes (Spain)

    2011-10-01

    W and W-V alloys reinforced with La{sub 2}O{sub 3} particles have been produced by MA and subsequent HIP at 1573 K and 195 MPa. The microstructure of the consolidated alloys has been characterized by scanning electron microscopy, energy dispersive spectroscopy analyses and X-ray diffraction. The mechanical properties were studied by nanoindentation measurements. The results show that practically full dense billets of W-V, W-V-La{sub 2}O{sub 3} and W-La{sub 2}O{sub 3} alloys can be produced. The microstructure analysis has shown that islands of V are present in W-V and W-V-1La{sub 2}O{sub 3} alloys. In W-1La{sub 2}O{sub 3} islands of La{sub 2}O{sub 3} are also present. The nanohardness of the W matrix increases with the addition of V, while decreases with the addition of La{sub 2}O{sub 3}.

  17. Spatial unmixing for environmental impact monitoring of mining using UAS and WV-2

    Science.gov (United States)

    Delalieux, S.; Livens, S.; Goossens, M.; Reusen, I.; Tote, C.

    2012-04-01

    The three principal activities of the mineral resources mining industry - mining, mineral processing and metallurgical extraction - all produce waste. The environmental impact of these activities depends on many factors, in particular, the type of mining and the size of the operation. The effects of the mining (extraction) stage tend to be mainly local, associated with surface disturbance, the production of large amounts of solid waste material, and the spread of chemically reactive particulate matter to the atmosphere and hydrosphere. Many studies have shown the potential of remote sensing for environmental impact monitoring, e.g., [1]. However, its applicability has been limited due to the inherent spatial-spectral and temporal trade-off of most sensors. More recently, miniaturization of sensors makes it possible to capture color images from unmanned aerial systems (UAS) with a very high spatial resolution. In addition, the UAS can be deployed in a very flexible manner, allowing high temporal resolution imaging. More detailed spectral information is available from multispectral images, albeit at lower spatial resolution. Combining both types of images using image fusion can help to overcome the spatial-spectral trade-off and provide a new tool for more detailed monitoring of environmental impacts. Within the framework of the ImpactMin project, funded by the Framework Programme 7 of the European Commission, the objective of this study is to implement and apply the spatial unmixing algorithm, as proposed by [2], on images of the 'Vihovici Coal Mine' area, located in the Mostar Valley, Bosnia and Herzegovina. A WorldView2 (WV2) satellite image will be employed, which provides 8-band multispectral data at a spatial resolution of 2m. High spatial resolution images, obtained by a SmartPlanes UAS, will provide RGB data with 0.05m spatial resolution. The spatial unmixing technique is based on the idea that a linear mixing model can be used to perform the downscaling of

  18. Kanawha River Basin Sediment Data

    Data.gov (United States)

    U.S. Environmental Protection Agency — This data set contains sediment size data collected at research sites using a Wolman Pebble Count method. This dataset is associated with the following publication:...

  19. GA/WV application in tumor gene expression profiling mining as a feature selection algorithm%癌症基因表达谱挖掘中的特征基因选择算法GA/WV

    Institute of Scientific and Technical Information of China (English)

    申伟科; 钟理; 葛昆; 张波; 王建飞; 张小刚; 秦向东

    2010-01-01

    鉴定癌症表达谱的特征基因集合可以促进癌症类型分类的研究,这也可能使病人获得更好的临床诊断?虽然一些方法在基因表达谱分析上取得了成功,但是用基因表达谱数据进行癌症分类研究依然是一个巨大的挑战,其主要原因在于缺少通用而可靠的基因重要性评估方法.GA/WV是一种新的用复杂的生物表达数据评估基因分类重要性的方法,通过联合遗传算法(GA)和加权投票分类算法(WV)得到的特征基因集合不但适用于WV分类器,也适用于其它分类器?将GA/WV方法用癌症基因表达谱数据集的验证,结果表明本方法是一种成功可靠的特征基因选择方法.

  20. Prospective evaluation of 2% (w/v alcoholic chlorhexidine gluconate as an antiseptic agent for blood donor arm preparation

    Directory of Open Access Journals (Sweden)

    Sweta Shah

    2014-01-01

    Full Text Available Aim: A prospective study was undertaken to evaluate the use of 2% (w/v alcoholic chlorhexidine gluconate (2% AlcCHG in donor arm preparation, to monitor the contamination rate of blood products after the collection and to find incidence of transfusion associated bacteremia. Settings and Design: Optimal skin antisepsis of the phlebotomy site is essential to minimize the risk of contamination. Food and Drug Administration (FDA in India has recommended antisepsis with three-step regimen of spirit-10% povidone iodine-spirit for donor arm antisepsis, but not with chlorhexidine, which is recommended by many other authors. Material and Methods: A total of 795 donors were studied from July 2011 to January 2012. Spirit-10% povidone iodine-spirit was used for 398 donors and 2% AlcCHG was used for 397 donors with the two-step method for arm antisepsis. Swabs were collected before and after use of antiseptic agents for all the donors. All the blood products collected from donors with growth in post-antisepsis swabs were cultured. A total of 123 various blood products were cultured irrespective of the method and result of antisepsis was observed. A total of seven patients had mild transfusion reaction. The transfused blood products, blood and urine specimen of the patients who had transfusion reaction were also cultured. Results: Seven donors out of 398 donors had growth in post-antisepsis swab with spirit-10% povidone iodine-spirit protocol and three donors out of 397 donors had growth in post-antisepsis swab with 2% AlcCHG protocol. All blood products collected from donors who had growth in post-antisepsis swabs when cultured had no growth. There was no contamination of blood products. Conclusions: Two percent (w/v alcoholic chlorhexidine gluconate with two-step protocol can be used as an antiseptic agent for donor arm preparation without considerable cost difference. It is at par with spirit 10% povidone iodine spirit protocol as suggested by FDA in India

  1. Allegheny County Address Points

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains address points which represent physical address locations assigned by the Allegheny County addressing authority. Data is updated by County...

  2. Allegheny County Air Quality

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Air quality data from Allegheny County Health Department monitors throughout the county. Air quality monitored data must be verified by qualified individuals before...

  3. Allegheny County Council Districts

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset portrays the boundaries of the County Council Districts in Allegheny County. The dataset is based on municipal boundaries and City of Pittsburgh ward...

  4. Allegheny County Municipal Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the municipal boundaries in Allegheny County. Data was created to portray the boundaries of the 130 Municipalities in Allegheny County the...

  5. Allegheny County Address Points

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains address points which represent physical address locations assigned by the Allegheny County addressing authority. Data is updated by County...

  6. Allegheny County Council Districts

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset portrays the boundaries of the County Council Districts in Allegheny County. The dataset is based on municipal boundaries and City of Pittsburgh ward...

  7. Allegheny County Municipal Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the municipal boundaries in Allegheny County. Data was created to portray the boundaries of the 130 Municipalities in Allegheny County the...

  8. Allegheny County TIF Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Tax Increment Financing (TIF) outline parcels for Allegheny County, PA. TIF closing books contain all necessary documentation related to a TIF in order to close on...

  9. Allegheny County TIF Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Tax Increment Financing (TIF) outline parcels for Allegheny County, PA. TIF closing books contain all necessary documentation related to a TIF in order to close on...

  10. Allegheny County Property Assessments

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Real Property parcel characteristics for Allegheny County, PA. Includes information pertaining to land, values, sales, abatements, and building characteristics (if...

  11. Allegheny County Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of the street centerlines for vehicular and foot traffic in Allegheny County. Street Centerlines are classified as Primary...

  12. Allegheny County Parks Outlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Shows the size and shape of the nine Allegheny County parks. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  13. Allegheny County Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of the street centerlines for vehicular and foot traffic in Allegheny County. Street Centerlines are classified as Primary Road,...

  14. Allegheny County Depression Medication

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — These Census Tract-level datasets described here provide de-identified diagnosis data for customers of three managed care organizations in Allegheny County (Gateway...

  15. Allegheny County Diabetes Hospitalization

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This data includes the number of people hospitalized with diabetes between 2013-2015, by age group, for Allegheny County Zip Codes.

  16. Allegheny County Plumbers

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — All master plumbers must be registered with the Allegheny County Health Department. Only Registered Master Plumbers who possess a current plumbing license or...

  17. Allegheny County Dam Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows the point locations of dams in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  18. Westmoreland County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Westmoreland County from 2011 to 2015. Fields include injury severity,...

  19. Allegheny County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Allegheny County from 2004 to 2015. Fields include injury severity,...

  20. County Population Vulnerability

    Data.gov (United States)

    City and County of Durham, North Carolina — This layer summarizes the social vulnerability index for populations within each county in the United States at scales 1:3m and below. It answers the question...

  1. Beaver County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Beaver County from 2011 to 2015. Fields include injury severity, fatalities,...

  2. Washington County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Washington County from 2011 to 2015. Fields include injury severity,...

  3. Allegheny County Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of the street centerlines for vehicular and foot traffic in Allegheny County. Street Centerlines are classified as Primary Road,...

  4. Allegheny County Obesity Rates

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Obesity rates for each Census Tract in Allegheny County were produced for the study “Developing small-area predictions for smoking and obesity prevalence in the...

  5. Allegheny County Major Rivers

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains locations of major rivers that flow through Allegheny County. These shapes have been taken from the Hydrology dataset. The Ohio River,...

  6. Allegheny County Boundary

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the Allegheny County boundary. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  7. Allegheny County Smoking Rates

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Smoking rates for each Census Tract in Allegheny County were produced for the study “Developing small-area predictions for smoking and obesity prevalence in the...

  8. Allegheny County Hospitals

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The data on health care facilities includes the name and location of all the hospitals and primary care facilities in Allegheny County. The current listing of...

  9. Taos County Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Vector line shapefile under the stewardship of the Taos County Planning Department depicting roads in Taos County, New Mexico. Originally under the Emergency...

  10. Allegheny County Homicides

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The dataset has location information on homicides that occurred in Allegheny County from 2002-2014. Age group, gender, and race and year of death have been...

  11. Allegheny County Parcel Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains parcel boundaries attributed with county block and lot number. Use the Property Information Extractor for more control downloading a filtered...

  12. Allegheny County Property Viewer

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Webmap of Allegheny municipalities and parcel data. Zoom for a clickable parcel map with owner name, property photograph, and link to the County Real Estate website...

  13. Allegheny County Tobacco Vendors

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The tobacco vendor information provides the location of all tobacco vendors in Allegheny County in 2015. Data was compiled from administrative records managed by...

  14. Allegheny County Asbestos Permits

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Asbestos permit data issued by the County for commercial building demolitions and renovations as required by the EPA. This file is updated daily and can be...

  15. Allegheny County Anxiety Medication

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — These Census Tract-level datasets described here provide de-identified diagnosis data for customers of three managed care organizations in Allegheny County (Gateway...

  16. Butler County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Butler County from 2011 to 2015. Fields include injury severity, fatalities,...

  17. Allegheny County Hypertension Hospitalization

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This data provides hypertension prevalence data for each Zip Code in Allegheny County. The information was produced by Pennsylvania Health Care Cost Containment...

  18. Allegheny County Traffic Counts

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Traffic sensors at over 1,200 locations in Allegheny County collect vehicle counts for the Pennsylvania Department of Transportation. Data included in the Health...

  19. 77 FR 19722 - Petitions for Modification of Application of Existing Mandatory Safety Standards

    Science.gov (United States)

    2012-04-02

    ...; 200 Remington Coal Lane, Coal Fork Hollow, Cabin Creek, West Virginia 25035, located in Kanawha County...; 200 Remington Coal Lane, Coal Fork Hollow, Cabin Creek, West Virginia 25035, located in Kanawha County..., Docket No. M-2012-046-C; 200 Remington Coal Lane, Coal Fork Hollow, Cabin Creek, West Virginia...

  20. Treatment of Neotrombicula species infestation in cats using a 10% (w/v) fipronil topical spot-on formulation: a pilot study.

    Science.gov (United States)

    Cadiergues, Marie C; Navarro, Christelle; Castilla-Castaño, Eloy; Lecru, Line A; Pressanti, Charline

    2017-06-01

    Objectives Few data are available concerning therapeutic aspects of feline trombiculiasis. This study evaluated the efficacy of a 10% w/v fipronil-based spot-on solution in 15 cats with natural Neotrombicula species infestation. Methods Ten cats received 1 drop per affected site on day (D)0 and D14, with the rest of the 0.5 ml pipette applied on the skin between the shoulders. Five cats served as non-treated controls. Parasite score (0 = absent; 3 = severe, >10 parasites/zone) was assessed on D0, D14 and D28 on all animals. Skin lesions (SCORing Feline Allergic Dermatitis lesion severity scale [SCORFAD]) and investigator pruritus scale (IPS; 0 = cat comfortable, grooming like any normal cat; 4 = cat uncomfortable, pruritic all the time) were assessed on treated cats on the same days. Global assessment of efficacy, tolerance and ease of use (GAS; 1 = very poor; 5 = excellent) was assessed on D28. Results All the cats completed the study. Parasite scores of the control cats were maintained throughout the trial (mean ± SD: D0 4 ± 0.7, D14 3.2 ± 1.1 and D28 3.2 ± 0.4). In treated cats, SCORFAD (D0 3.2 ± 5.4, D14 1.1 ± 2.1 [ P <0.002] and D28 0.5 ± 1.3 [ P <0.002]), parasite (D0 3.9 ± 1.3, D14 1.2 ± 0.8 [ P <0.005] and D28 0.4 ± 0.5 [ P <0.005]) and IPS (D0 1 ± 1.2, D14 0.5 ± 1.1 [ P <0.05] and D28 0.3 ± 0.7 [ P <0.05]) scores significantly decreased throughout the trial. On D28, the GAS was 4.2 ± 0.9. There were no adverse effects from treatment. Conclusions and relevance The 10% w/v fipronil preparation appeared to be effective, safe and practical in the treatment of localised Neotrombicula species infestation in these cats.

  1. Overweight and obesity among low-income women in rural West Virginia and urban Los Angeles County.

    Science.gov (United States)

    Robles, Brenda; Frost, Stephanie; Moore, Lucas; Harris, Carole V; Bradlyn, Andrew S; Kuo, Tony

    2014-10-01

    We described the prevalence of overweight and obesity among low-income women in rural West Virginia (WV) and urban Los Angeles County (LA County). Both communities participated in the national Communities Putting Prevention to Work program during 2010-2012. In each community, we completed health assessments on adult women recruited from public-sector clinics serving low-income populations. All participants answered survey questions regarding socio-demographics and diets. In both jurisdictions, we assessed obesity using objectively measured height and weight (calculated BMI). As part of each community case study, we performed multivariable regression analyses to describe the relationships between overweight and obesity and selected covariates (e.g., dietary behaviors). Overweight and obesity were prevalent among low-income women from WV (73%, combined) and LA County (67%, combined). In both communities, race and ethnicity appeared to predict the two conditions; however, the associations were not robust. In LA County, for example, African American and Hispanic women were 1.4 times (95% CI=1.12, 1.81) more likely than white women to be overweight and obese. Collectively, these subpopulation health data served as an important guide for further planning of obesity prevention efforts in both communities. These efforts became a part of the subsequent Community Transformation Grants portfolio.

  2. Category and perceptual interference in second-language phoneme learning: an examination of English /w/-/v/ learning by Sinhala, German, and Dutch speakers.

    Science.gov (United States)

    Iverson, Paul; Ekanayake, Dulika; Hamann, Silke; Sennema, Anke; Evans, Bronwen G

    2008-10-01

    The present study investigated the perception and production of English /w/ and /v/ by native speakers of Sinhala, German, and Dutch, with the aim of examining how their native language phonetic processing affected the acquisition of these phonemes. Subjects performed a battery of tests that assessed their identification accuracy for natural recordings, their degree of spoken accent, their relative use of place and manner cues, the assimilation of these phonemes into native-language categories, and their perceptual maps (i.e., multidimensional scaling solutions) for these phonemes. Most Sinhala speakers had near-chance identification accuracy, Germans ranged from chance to 100% correct, and Dutch speakers had uniformly high accuracy. The results suggest that these learning differences were caused more by perceptual interference than by category assimilation; Sinhala and German speakers both have a single native-language phoneme that is similar to English /w/ and /v/, but the auditory sensitivities of Sinhala speakers make it harder for them to discern the acoustic cues that are critical to /w/-/v/ categorization.

  3. VT Boundaries - county polygons

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) The BNDHASH dataset depicts Vermont villages, towns, counties, Regional Planning Commissions (RPC), and LEPC (Local Emergency Planning Committee)...

  4. Allegheny County Blazed Trails Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Shows the location of blazed trails in all Allegheny County parks. This is the same data used in the Allegheny County Parks Trails Mobile App, available for Apple...

  5. Allegheny County Zip Code Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the zip code boundaries that lie within Allegheny County. These are not clipped to the Allgeheny County boundary. If viewing this...

  6. Allegheny County Blazed Trails Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Shows the location of blazed trails in all Allegheny County parks. This is the same data used in the Allegheny County Parks Trails Mobile App, available for Apple...

  7. Allegheny County Block Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset overlays a grid on the County to assist in locating a parcel. The grid squares are 3,500 by 4,500 square feet. The data was derived from original...

  8. Sheridan County Recreation Plan.

    Science.gov (United States)

    Webster, Elaine

    A pilot project investigating the feasibility of year-round recreational programs in rural counties of populations of less than 10,000 is described in this report. (Sheridan County, Kansas, was chosen as the project site.) Part I, the introductory section, briefly defines recreation and its relation to human needs. Part II provides a geographic…

  9. Allegheny County Block Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset overlays a grid on the County to assist in locating a parcel. The grid squares are 3,500 by 4,500 square feet. The data was derived from original...

  10. Allegheny County Watershed Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the 52 isolated sub-Watersheds of Allegheny County that drain to single point on the main stem rivers. Created by 3 Rivers 2nd Nature based...

  11. LANDSLIDES IN SUCEAVA COUNTY

    Directory of Open Access Journals (Sweden)

    Dan Zarojanu

    2017-07-01

    Full Text Available In the county of Suceava, the landslides are a real and permanent problem. This paper presents the observations of landslides over the last 30 years in Suceava County, especially their morphology, theirs causes and the landslide stopping measures. It presents also several details regarding the lanslides from the town of Suceava, of Frasin and the village of Brodina.

  12. Hancock County Awards Gala

    Science.gov (United States)

    2008-01-01

    Gene Goldman (left), deputy director of NASA's John C. Stennis Space Center, accepts an Award of Excellence from Jack Zink, executive director of the Hancock County Port and Harbor Commission, during the 2008 Annual Hancock County Awards Gala. The Award of Excellence was presented to recognize Stennis Space Center's contribution to NASA's 50 years of excellence in space exploration.

  13. Upscaling the impact of convective overshooting (COV) through BRAMS: a continental and wet-season scale study of the water vapour (WV) budget in the tropical tropopause layer (TTL).

    Science.gov (United States)

    Behera, Abhinna; Rivière, Emmanuel; Marécal, Virginie; Rysman, Jean-François; Claud, Chantal; Burgalat, Jérémie

    2017-04-01

    The stratospheric water vapour (WV) has a conceding impact on the radiative and chemical budget of Earth's atmosphere. The convective overshooting (COV) at the tropics is well admitted for playing a role in transporting directly WV to the stratosphere. Nonetheless, its impact on the lower stratosphere is yet to be determined at global scale, as the satellite and other air-borne measurements are not of having fine enough resolution to quantify this impact at large scale. Therefore, efforts have been made to quantify the influence of COV over the WV budget in the tropical tropopause layer (TTL) through modelling. Our approach is to build two synthetic tropical wet-seasons; where one would be having only deep convection (DC) but no COV at all, and the second one would be having the COV, and in both cases the WV budget in the TTL would be estimated. Before that, a French-Brazilian TRO-pico campaign was carried out at Bauru, Brazil in order to understand the influence of COV on the WV budget in the TTL. The radio-sounding, and the small balloon-borne WV measurements from the campaign are being utilized to validate the model simulation. Brazilian version of Regional Atmospheric Modeling System (BRAMS) is used with a single grid system to simulate a WV variability in a wet-season. Grell's convective parameterization with ensemble closure, microphysics with double moment scheme and 7 types of hydrometeors are incorporated to simulate the WV variability for a wet-season at the tropics. The grid size of simulation is chosen to be 20 km x 20 km horizontally and from surface to 30 km altitude, so that there cannot be COV at all, only DC due to such a relatively coarse resolution. The European Centre for Medium-range Weather Forecasts (ECMWF) operational analyses data are used every 6 hours for grid initialization and boundary conditions, and grid center nudging. The simulation is carried out for a full wet-season (Nov 2012 - Mar 2013) at Brazilian scale, so that it would

  14. SURVEY, SOLANO COUNTY, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Solano County California, hydrographic survey data collected by Harned Surveying and Engineering (HSE). Data collection period January 1, 2011 through March 1, 2011.

  15. Allegheny County Hydrology Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Hydrology Feature Dataset contains photogrammetrically compiled water drainage features and structures including rivers, streams, drainage canals, locks, dams,...

  16. Allegheny County Sheriff Sales

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — List of properties up for auction at a Sheriff Sale. Datasets labeled "Current" contain this month's postings, while those labeled "Archive" contain a running list...

  17. Allegheny County Cemetery Outlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Outlines of public and private cemeteries greater than one acre in size. Areas were delineated following a generalized line along the outside edge of the area....

  18. Durham County Demographic Profile

    Data.gov (United States)

    City and County of Durham, North Carolina — (a) Includes persons reporting only one race.(b) Hispanics may be of any race, so also are included in applicable race categories. D: Suppressed to avoid disclosure...

  19. Allegheny County Hydrology Lines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Hydrology Feature Dataset contains photogrammetrically compiled water drainage features and structures including rivers, streams, drainage canals, locks, dams,...

  20. County Political Boundaries (National)

    Data.gov (United States)

    Department of Transportation — County boundaries with political limit - boundaries extending into the ocean (NTAD 2015). The TIGER/Line shapefiles and related database files (.dbf) are an extract...

  1. Minnesota County Boundaries

    Data.gov (United States)

    Minnesota Department of Natural Resources — Minnesota county boundaries derived from a combination of 1:24,000 scale PLS lines, 1:100,000 scale TIGER, 1:100,000 scale DLG, and 1:24,000 scale hydrography...

  2. Allegheny County Hydrology Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Hydrology Feature Dataset contains photogrammetrically compiled water drainage features and structures including rivers, streams, drainage canals, locks, dams,...

  3. Allegheny County Hydrology Lines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Hydrology Feature Dataset contains photogrammetrically compiled water drainage features and structures including rivers, streams, drainage canals, locks, dams,...

  4. Allegheny County Dog Licenses

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — A list of dog license dates, dog breeds, and dog name by zip code. Currently this dataset does not include City of Pittsburgh dogs.

  5. First records of Nocomis biguttatus (Hornyhead Chub) from West Virginia discovered in museum voucher specimens

    Science.gov (United States)

    Welsh, Stuart; Cincotta, Daniel A.; Starnes, Wayne C.

    2013-01-01

    Specimens of Nocomis biguttatus (Hornyhead Chub) from South Fork Hughes River (Little Kanawha River drainage, WV) were discovered in two museum lots at the North Carolina Museum of Natural Sciences. These accessions, collected in 1960 and 1966, represent an addition to the state fauna and are the first distribution records for this species from the Appalachian Plateau, WV

  6. Snohomish County Biodiesel Project

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Terrill; Carveth, Deanna

    2010-02-01

    Snohomish County in western Washington State began converting its vehicle fleet to use a blend of biodiesel and petroleum diesel in 2005. As prices for biodiesel rose due to increased demand for this cleaner-burning fuel, Snohomish County looked to its farmers to grow this fuel locally. Suitable seed crops that can be crushed to extract oil for use as biodiesel feedstock include canola, mustard, and camelina. The residue, or mash, has high value as an animal feed. County farmers began with 52 acres of canola and mustard crops in 2006, increasing to 250 acres and 356 tons in 2008. In 2009, this number decreased to about 150 acres and 300 tons due to increased price for mustard seed.

  7. Allegheny County Cell Tower Points

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset portrays cell tower locations as points in Allegheny County. The dataset is based on outbuilding codes in the Property Assessment Parcel Database used...

  8. Valencia County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set contains a vector digital representation of all accessible roads in the county including interstate highways, State highways, county roads and some...

  9. Allegheny County Land Use Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Allegheny County land use as ascribed to areas of land. The Land Use Feature Dataset contains photogrammetrically compiled information concerning vegetation and...

  10. Allegheny County Cell Tower Points

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset portrays cell tower locations as points in Allegheny County. The dataset is based on outbuilding codes in the Property Assessment Parcel Database used...

  11. Allegheny County Mortgage Foreclosure Records

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This data includes filings related to mortgage foreclosure in Allegheny County. The foreclosure process enables a lender to take possession of a property due to an...

  12. Allegheny County School District Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the school district boundaries within Allegheny County If viewing this description on the Western Pennsylvania Regional Data Center’s open...

  13. Allegheny County Land Use Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Allegheny County land use as ascribed to areas of land. The Land Use Feature Dataset contains photogrammetrically compiled information concerning vegetation and...

  14. Allegheny County Commercial Vehicle Inspections

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset lists the locations and results of all commercial vehicle inspections performed by the Allegheny County Police Motor Carrier Safety Assistance Program...

  15. 2015 Lowndes County (GA) Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TASK NAME: NOAA OCM Lidar for Lowndes County, GA with the option to Collect Lidar in Cook and Tift Counties, GA Lidar Data Acquisition and Processing Production Task...

  16. Sonoma County, CA, 2013 Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Sonoma County Vegetation Mapping and LiDAR Consortium retained WSI to provide lidar and Orthophoto data and derived products in Sonoma County, CA. A classified LAS...

  17. Allegheny County Property Sale Transactions

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains data on all Real Property parcels that have sold since 2012 in Allegheny County, PA. Before doing any market analysis on property sales, check...

  18. Allegheny County Public Building Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of municipal facilities in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s...

  19. Allegheny County Public Building Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of municipal facilities in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open...

  20. Curry County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Line attributes denoting all street centerlines in Curry County. Dataset includes all centerlines for all county maintained roads, all state and federal highways,and...

  1. Allegheny County Employee Salaries 2016

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Employee salaries are a regular Right to Know request the County receives. Here is the disclaimer language that is included with the dataset from the Open Records...

  2. TERRAIN, KENT COUNTY, RHODE ISLAND

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Kent AOI consists of the costal portion of the county, and meshes up seamlessly with the Providence county AOI directly north. Ground Control is collected...

  3. TERRAIN, PROVIDENCE COUNTY, RHODE ISLAND

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Providence AOI consists of the costal portion of the county, and meshes up seamlessly with the Kent county AOI directly south. Ground Control is collected...

  4. Allegheny County Fast Food Establishments

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Allegheny County Health Department has generated this list of fast food restaurants by exporting all chain restaurants without an alcohol permit from the...

  5. Allegheny County School District Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the school district boundaries within Allegheny County If viewing this description on the Western Pennsylvania Regional Data Center’s open...

  6. Allegheny County Poor Housing Conditions

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This estimate of the percent of distressed housing units in each Census Tract was prepared using data from the American Community Survey and the Allegheny County...

  7. Grant County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set contains a vector digital representation of all accessible roads in the county including interstate highways, State highways, county roads and city...

  8. Allegheny County Addressing Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows the road centerlines in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  9. Allegheny County Summer Food Sites

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This data set shows the Summer Food Sites located within Allegheny County for children (18 years and younger) for breakfast and lunch during summer recess. OPEN...

  10. Allegheny County Jail Daily Census

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — A daily census of the inmates at the Allegheny County Jail (ACJ). Includes gender, race, age at booking, and current age. The records for each month contain a...

  11. Allegheny County Park Rangers Outreach

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Launched in June 2015, the Allegheny County Park Rangers program reached over 48,000 people in its first year. Park Rangers interact with residents of all ages and...

  12. Allegheny County Fatal Accidental Overdoses

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Fatal accidental overdose incidents in Allegheny County, denoting age, gender, race, drugs present, zip code of incident and zip code of residence. Zip code of...

  13. Minnesota County Boundaries - lines

    Data.gov (United States)

    Minnesota Department of Natural Resources — Minnesota county boundaries derived from a combination of 1:24,000 scale PLS lines, 1:100,000 scale TIGER, 1:100,000 scale DLG, and 1:24,000 scale hydrography lines....

  14. Counties Without a Physician.

    Science.gov (United States)

    Getz, Virginia

    1982-01-01

    Uses a budgeting technique to determine if free-market incentives or forces would provide an economic base sufficient to support medical professionals who might practice in the approximately 140 U.S. counties that lack a physician (located mainly in a narrow band from west Texas north through South Dakota). (AH)

  15. Castleward, County Down

    OpenAIRE

    Fisher, Jonathan

    2008-01-01

    Fisher was a painter and engraver in Ireland, working after the Dutch and Italian landscape painting tradition. He is best known by engravings after his designs, of which a large number were produced during his career.[notes from Irish Paintings in the `National Gallery of Ireland?, 2001]The house depicted in the present painting is Castle Ward, located in County Down, Northern Ireland. The 18th century house is famed for its mixture of Classical and Gothic styles.

  16. Somerset County Renewable Energy Initiative

    Energy Technology Data Exchange (ETDEWEB)

    Katula, Denise [County of Somerset, Somervile, NJ (United States)

    2014-05-07

    The County of Somerset, New Jersey, through the Somerset County Improvement Authority (SCIA), applied Federal funding through the U.S. Department of Energy to will apply project funds to buy-down the capital costs of equipment associated with the installation of solar photovoltaic (PV) systems at two sites owned by the County. This Renewable Energy Initiative allows the County to take advantage of clean renewable energy, without any adverse debt impacts, and at a price that results in operating budget savings beyond what is presently available in the marketplace. This project addressed the objectives of the Office of Energy Efficiency and Renewable Energy by making the acquisition of renewable energy more affordable for the County, thereby, encouraging other counties and local units to develop similar programs and increase the deployment of solar energy technologies. The two sites that were funded by the DOE grant are part of a much larger, ambitious, and unique renewable energy project, described in the next section.

  17. Alba County - Rural Tourism Destination?

    Directory of Open Access Journals (Sweden)

    Claudia Olimpia Moisa

    2016-12-01

    Full Text Available The purpose of this paper is to identify the main rural touristic resources available in Alba County and also the preferred tourist destinations, highlighting the role and the importance of the rural tourism and agro-tourism in the economy of Alba County and, not least, identifying the main direction for its development and promotion. In other words, the aim of this paper is to answer the question "Is it or not Alba County a rural tourist destination?"

  18. Allegheny County Beltway System Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Authoritative dataset of the beltway system in Allegheny County. The system was developed to help motorists navigate through Allegheny County on low-traffic roads....

  19. 2015 Resident Survey (City and County)

    Data.gov (United States)

    City and County of Durham, North Carolina — The purpose of the annual City/County survey: To objectively assess citizen satisfaction with the delivery of City/County servicesTo set a baseline for future...

  20. 2016 Resident Survey (City and County)

    Data.gov (United States)

    City and County of Durham, North Carolina — The purpose of the annual City/County survey: To objectively assess citizen satisfaction with the delivery of City/County servicesTo set a baseline for future...

  1. The Bridges of Taishun County

    Institute of Scientific and Technical Information of China (English)

    MaJianhe

    2003-01-01

    The American film The Bridges of Madison County captured the imagination of many Chinese moviegoers with its bittersweet love story and scenes of rustic covered bridges. But the U.S. can't lay sole claim to such spectacular rural sights:China has its own county worldrenowned for unforgettable bridges.

  2. 2006 Fulton County Georgia Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Light Detection and Ranging (LiDAR) LAS dataset is a survey of Fulton County. The Fulton County LiDAR Survey project area consists of approximately 690.5 square...

  3. County and Parish Boundaries, Published in 2003, Cerro Gordo County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, was produced all or in part from Hardcopy Maps information as of 2003. Data by this publisher are often provided in State...

  4. 2008 USGS South New Jersey County Project Lidar: Cumberland County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The South New Jersey County Lidar Project is to provide LiDAR data for the New Jersey Department of Environmental Protection (NJ-DEP) for Cape May, Cumberland, and...

  5. 49 CFR 372.215 - Ravenswood, WV.

    Science.gov (United States)

    2010-10-01

    ...)(1) includes and is comprised of all points as follows: (a) The municipality of Ravenswood, W. Va... section, and which are north of U.S. Highway 33; (d) All of any municipality any part of which is within... municipality wholly surrounded, or so surrounded except for a water boundary, by the municipality of...

  6. 75 FR 34485 - Notice of Affirmative Decisions on Petitions for Modification Granted in Whole or in Part

    Science.gov (United States)

    2010-06-17

    ... County, Nevada; Colado Plant, MSHA I.D. No. 26-00680, located in Pershing County, Nevada; and Celatom Mill, MSHA I.D. No. 35-03236, located in Malheur County, Oregon. Regulation Affected: 30 CFR 56.20001.... 46-08759 and Coalburg No. 2 Mine, MSHA I.D. No. 46-09231, located in Kanawha County, West...

  7. 2006 Volusia County, Florida Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset is the lidar data for Volusia County, Florida, approximately 1,432 square miles, acquired in early March of 2006. A total of 143 flight lines of Lidar...

  8. Allegheny County Toxics Release Inventory

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Toxics Release Inventory (TRI) data provides information about toxic substances released into the environment or managed through recycling, energy recovery, and...

  9. Allegheny County Land Cover Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Land Cover dataset demarcates 14 land cover types by area; such as Residential, Commercial, Industrial, Forest, Agriculture, etc. If viewing this description on...

  10. Allegheny County Land Cover Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Land Cover dataset demarcates 14 land cover types by area; such as Residential, Commercial, Industrial, Forest, Agriculture, etc. If viewing this description...

  11. Allegheny County Wooded Area Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates stands of trees (coniferous and deciduous) too numerous to plot as individual trees. The area is delineated following a generalized line...

  12. Sierra County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set contains a vector digital representation of all accessible roads including interstate highways, State highways, county roads and some city streets in...

  13. Allegheny County WIC Vendor Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of Women, Infants, and Children (WIC) program vendors. If viewing this description on the Western Pennsylvania Regional Data...

  14. County Boundaries with Shorelines (National)

    Data.gov (United States)

    Department of Transportation — County boundaries with shorelines cut in (NTAD). The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and...

  15. Allegheny County Building Footprint Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains photogrammetrically compiled roof outlines of buildings. All near orthogonal corners are square. Buildings that are less than 400 square feet...

  16. 2014 Mobile County, AL Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Atlantic was contracted to acquire high resolution topographic LiDAR (Light Detection and Ranging) data located in Mobile County, Alabama. The intent was to collect...

  17. Allegheny County Land Cover Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Land Cover dataset demarcates 14 land cover types by area; such as Residential, Commercial, Industrial, Forest, Agriculture, etc. If viewing this description on...

  18. Soils - Volusia County Soils (Polygons)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Soils: 1:24000 SSURGO Map. Polygon boundaries of Soils in Volusia County, downloaded from SJRWMD and created by NRCS and SJRWMD. This data set is a digital version...

  19. 2009 SCDNR Charleston County Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Photoscience completed the original collection and classification of the multiple return LiDAR of Charleston County, South Carolina in the winter of 2006-2007. In...

  20. Allegheny County Soil Type Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains soil type and soil classification, by area. Additional info at: http://mcdc.cas.psu.edu/datawiz.htm;...

  1. Allegheny County Environmental Justice Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Environmental Justice areas in this guide have been defined by the Pennsylvania Department of Environmental Protection. The Department defines an environmental...

  2. 2009 SCDNR Horry County Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Sanborn Map Company completed the original classification of the multiple return LiDAR of Horry County, South Carolina in 2009. In 2013, Dewberry was tasked with...

  3. ORTHOIMAGERY, ERIE COUNTY, OHIO USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The 2006 OSIP digital orthophotography was collected during the months of March and April (leaf-off conditions). The MrSID Images covering each county at 1-foot...

  4. 2009 SCDRN Lidar: Florence County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The South Carolina Department of Natural Resources (SCDNR) contracted with Sanborn to provide LiDAR mapping services for Florence County, SC. Utilizing multi-return...

  5. Allegheny County Soil Type Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains soil type and soil classification, by area. Additional info at: http://mcdc.cas.psu.edu/datawiz.htm;...

  6. Allegheny County Certified MWDBE Businesses

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — According to the Federal Department of Transportation, Disadvantaged Business Enterprises (DBE) are for-profit small business concerns where socially and...

  7. Allegheny County Map Index Grid

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5 second grid...

  8. Allegheny County Building Footprint Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains photogrammetrically compiled roof outlines of buildings. All near orthogonal corners are square. Buildings that are less than 400 square feet...

  9. Horry County Beach Management Plan

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Horry County has coordinated with DHEC OCRM to fully inventory, analyze, and documenteach of the ten required elements for an approvable local comprehensive beach...

  10. Allegheny County Map Index Grid

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5 second grid...

  11. ORTHOIMAGERY, LICKING COUNTY, OHIO USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The 2006 OSIP digital orthophotography was collected during the months of March and April (leaf-off conditions). The MrSID Images covering each county at 1-foot...

  12. 2009 Chatham County Georgia Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — LiDAR generated point cloud acquired in spring 2009 for Chatham County, Georgia for the Metropolitan Planning Commission. The data are classified as follows: Class 1...

  13. Uninsured Young Adults by County

    Data.gov (United States)

    U.S. Department of Health & Human Services — This data file indicates the estimated number of uninsured individuals ages 19-25 in each U.S. county. These individuals may be eligible to join their parents health...

  14. Allegheny County Basin Outlines Map

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This basins dataset was created to initiate regional watershed approaches with respect to sewer rehabilitation. If viewing this description on the Western...

  15. 2009 SCDNR Berkeley County Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Sanborn Map Company completed the original classification of the multiple return LiDAR of Berkeley County, South Carolina in 2009. In 2013, Dewberry was tasked with...

  16. 2009 Chatham County Georgia Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — LiDAR generated point cloud acquired in spring 2009 for Chatham County, Georgia for the Metropolitan Planning Commission. The data are classified as follows: Class...

  17. Allegheny County Wooded Area Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates stands of trees (coniferous and deciduous) too numerous to plot as individual trees. The area is delineated following a generalized line...

  18. 2004 Harrison County, MS Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This metadata record describes the topographic mapping of Harrison County, Mississippi during March of 2004. Products generated include lidar point clouds in .LAS...

  19. Allegheny County WIC Vendor Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of Women, Infants, and Children (WIC) program vendors. If viewing this description on the Western Pennsylvania Regional Data...

  20. Best Manufacturing Practices. Report of Survey Conducted at Stafford County Public Schools, Stafford County, VA

    National Research Council Canada - National Science Library

    1994-01-01

    During the week of August 8, 1994, a Best Manufacturing Practices (BMP) survey was conducted at the Stafford County Public Schools located in Stafford County, Virginia, considered one of the fastest growing counties in the state...

  1. Mapping the Under Water Habitat Related to their Bathymetry using Worldview-2 (wv-2 Coastal, Yellow, Rededge, Nir-2 Satellite Imagery in Gulf of Mannar to Conserve the Marine Resource

    Directory of Open Access Journals (Sweden)

    R. Uma Maheswari

    2013-02-01

    Full Text Available Gulf of Mannar Marine Biosphere Reserve is the first of its kind in India and also in South East Asia. It extends from Rameswaram to Tuticorin in the South. The Gulf of Mannar encompasses 21 small islands located from 0.5 to 4.0 km2 in area and except a few others are uninhabited. The area is endowed with a combination of ecosystem including mangroves, seagrass, seaweeds and coral reef. The Gulf of Mannar with 3600 species of plants and animals is one of the biologically rich coastal regions in India. Proper planning and effective management of ecosystem can be achieved by collecting data on these ecosystems by the application of Remote Sensing techniques. The combined use of Remote Sensing and Geographical Information System provides a powerful multidisciplinary tool for evaluation of natural resources, both renewable and non-renewable with speed, accuracy and economy. During the present study an attempt is made to explore the advantage of newly added bands [coastal, yellow, red edge and NIR-2] in WV-2 satellite data in mapping the various ocean related parameters such as coral reef, seagrass related to their Bathymetry.

  2. Stable Hydrogen and Oxygen Isotope Ratios for Selected Sites of the U.S. Geological Survey’s NASQAN and Benchmark Surface-Water Networks

    Science.gov (United States)

    2000-01-01

    274 Ohio 03159510 Hocking River Below Athens .................................................................................275...369 12039300 North Fork Quinault River Near Amanda Park...Kanawha River At Palestine WV 54 N 39.05972 81.3903 1515 05030203 585.51 03159510 Hocking River Below Athens OH 39 N 39.32749 82.0050 957 05030204

  3. Somerset County Flood Information System

    Science.gov (United States)

    Hoppe, Heidi L.

    2007-01-01

    The timely warning of a flood is crucial to the protection of lives and property. One has only to recall the floods of August 2, 1973, September 16 and 17, 1999, and April 16, 2007, in Somerset County, New Jersey, in which lives were lost and major property damage occurred, to realize how costly, especially in terms of human life, an unexpected flood can be. Accurate forecasts and warnings cannot be made, however, without detailed information about precipitation and streamflow in the drainage basin. Since the mid 1960's, the National Weather Service (NWS) has been able to forecast flooding on larger streams in Somerset County, such as the Raritan and Millstone Rivers. Flooding on smaller streams in urban areas was more difficult to predict. In response to this problem the NWS, in cooperation with the Green Brook Flood Control Commission, installed a precipitation gage in North Plainfield, and two flash-flood alarms, one on Green Brook at Seeley Mills and one on Stony Brook at Watchung, in the early 1970's. In 1978, New Jersey's first countywide flood-warning system was installed by the U.S. Geological Survey (USGS) in Somerset County. This system consisted of a network of eight stage and discharge gages equipped with precipitation gages linked by telephone telemetry and eight auxiliary precipitation gages. The gages were installed throughout the county to collect precipitation and runoff data that could be used to improve flood-monitoring capabilities and flood-frequency estimates. Recognizing the need for more detailed hydrologic information for Somerset County, the USGS, in cooperation with Somerset County, designed and installed the Somerset County Flood Information System (SCFIS) in 1990. This system is part of a statewide network of stream gages, precipitation gages, weather stations, and tide gages that collect data in real time. The data provided by the SCFIS improve the flood forecasting ability of the NWS and aid Somerset County and municipal agencies in

  4. County and Parish Boundaries, County_boundary, Published in 1998, 1:600 (1in=50ft) scale, Buffalo County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:600 (1in=50ft) scale as of 1998. It is described as 'County_boundary'. Data by this publisher are often...

  5. System metabolism in the Kanawha River basin: comparing two models

    Science.gov (United States)

    Resource managers and regulatory agencies typically monitor aquatic ecosystem condition using a combination of measures that describe stream structure (e.g. physical habitat variables, species richness metrics) and physiochemical properties (e.g., pH, DO, turbidity). Recently, me...

  6. Marmet Locks and Dam, Kanawha River, West Virginia

    Science.gov (United States)

    2015-07-01

    than 16.4 million tons of commerce locked through Marmet, including 15.4 million tons of coal , which is used mostly for power generation. The...acwc.sdp.sirsi.net/client/search/ asset /1000592 Headquarters, U.S. Army Corps of Engineers (HQUSACE). 1997. Engineering and design; Monitoring Completed...Vicksburg, MS: U.S. Army Engineer Research and Development Center. http://acwc.sdp.sirsi.net/client/search/ asset /1042406 Patev, R. C. 2000. Probabilistic

  7. Geothermal development plan: Maricopa county

    Energy Technology Data Exchange (ETDEWEB)

    White, D.H.

    1981-01-01

    Maricopa county is the area of Arizona receiving top priority since it contains over half of the state's population. The county is located entirely within the Basin and Range physiographic region in which geothermal resources are known to occur. Several approaches were taken to match potential users to geothermal resources. One approach involved matching some of the largest facilities in the county to nearby geothermal resources. Other approaches involved identifying industrial processes whose heat requirements are less than the average assessed geothermal reservoir temperature of 110/sup 0/C (230/sup 0/F). Since many of the industries are located on or near geothermal resources, geothermal energy potentially could be adapted to many industrial processes.

  8. Geothermal development plan: Maricopa county

    Energy Technology Data Exchange (ETDEWEB)

    White, D.H.

    1981-01-01

    Maricopa county is the area of Arizona receiving top priority since it contains over half of the state's population. The county is located entirely within the Basin and Range physiographic region in which geothermal resources are known to occur. Several approaches were taken to match potential users to geothermal resources. One approach involved matching some of the largest facilities in the county to nearby geothermal resources. Other approaches involved identifying industrial processes whose heat requirements are less than the average assessed geothermal reservoir temperature of 110/sup 0/C (230/sup 0/F). Since many of the industries are located on or near geothermal resources, geothermal energy potentially could be adapted to many industrial processes.

  9. 2012 FEMA Lidar: Southern Virginia Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Dewberry collected LiDAR for ~3,341 square miles in various Virginia Counties, a part of Worcester County, and Hoopers Island. The acquisition was performed by...

  10. 2010 South Carolina DNR Lidar: Kershaw County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Provide high density LiDAR elevation data map of Kershaw County, SC. Provide Bare Earth DEM (vegetation removal) of Kershaw County, SC.

  11. Allegheny County Particulate Matter 2.5

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The U.S. Environmental Protection Agency provides information on the particulate matter concentration for Allegheny County that have a diameter greater or equal to...

  12. 2012 FEMA Lidar: Middle Counties (VA)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Dewberry collected LiDAR for ~3,341 square miles in various Virginia Counties, a part of Worcester County, and Hoopers Island. The acquisition was performed by...

  13. Allegheny County Voting District (2015) Web Map

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This webmap demarcates municipal voting districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  14. State of Aging in Allegheny County Survey

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — For more than three decades UCSUR has documented the status of older adults in the County along multiple life domains. Every decade we issue a comprehensive report...

  15. Allegheny County Magisterial Districts Outlines (2015)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows the magisterial districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  16. 2010 South Carolina DNR Lidar: Sumter County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Provide high density LiDAR elevation data map of Sumter County, SC. Provide Bare Earth DEM (vegetation removal) of Sumter County, SC.

  17. Douglas County Historical Rectified Aerial Photos 1937

    Data.gov (United States)

    Kansas Data Access and Support Center — This raster dataset consists of approximately 200 aerial photographs taken in 1937 in Douglas county, Kansas, United States. The Douglas County Public Works...

  18. Allegheny County Parks Data Web Map

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Shows the size, shape, and amenities of the nine Allegheny County parks. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  19. Allegheny County Pennsylvania Senate District Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the Pennsylvania Senate district boundaries within Allegheny County. If viewing this description on the Western Pennsylvania Regional Data...

  20. Allegheny County Weights and Measures Inspections

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Inspections conducted by the Allegheny County Bureau of Weights and Measures. The Bureau inspects weighing and timing devices such as gas pumps, laundromat timers,...

  1. Allegheny County Voting District Boundaries (2015)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates municipal voting districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  2. Allegheny County-Owned Bridges Points

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows the location of bridges owned by Allegheny County as centroids. If viewing this description on the Western Pennsylvania Regional Data Center’s...

  3. Allegheny County-Owned Roads Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows the roads owned by Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  4. Allegheny County-Owned Bridges Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows the bridges owned by Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  5. Allegheny County Polling Place Locations (November 2014)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains locations of the polling places in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  6. Douglas County Historical Rectified Aerial Photos 1954

    Data.gov (United States)

    Kansas Data Access and Support Center — This raster dataset consists of approximately 200 aerial photographs taken in 1954 in Douglas county, Kansas, United States. The Douglas County Public Works...

  7. 2010 ARRA Lidar: Hampton County (SC)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Provide high density LiDAR elevation data map of Hampton County, SC. Provide Bare Earth DEM (vegetation removal) of Hampton County, SC.

  8. Allegheny County Median Age at Death

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The median age at death is calculated for each municipality in Allegheny County. Data is based on the decedent's residence at the time of death, not the location...

  9. Allegheny County Farmers Markets Locations (2017)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows the locations of farmers markets in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  10. Allegheny County Voting District (2015) Web Map

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This webmap demarcates municipal voting districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  11. Allegheny County Polling Place Locations (November 2015)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains locations of the polling places in Allegheny County.If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  12. Elevation - LIDAR Survey - Roseau County, Minnesota

    Data.gov (United States)

    Army Corps of Engineers, Department of the Army, Department of Defense — LIDAR Data for Roseau County Minnesota. This project consists of approximately 87 square miles of LIDAR mapping in Roseau County, Minnesota at two sites: area 1,...

  13. Allegheny County Polling Place Locations (November 2016)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains locations of the polling places in Allegheny County.If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  14. Allegheny County Polling Place Locations (May 2017)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains locations of the polling places in Allegheny County.If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  15. Allegheny County Voting District (2016) Web Map

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This webmap demarcates municipal voting districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  16. Allegheny County Polling Place Locations (November 2014)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains locations of the polling places in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  17. Allegheny County Polling Place Locations (November 2016)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains locations of the polling places in Allegheny County.If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  18. 77 FR 72968 - Revisions to the California State Implementation Plan, for Imperial County, Placer County and...

    Science.gov (United States)

    2012-12-07

    ... County and Ventura County Air Pollution Control Districts AGENCY: Environmental Protection Agency (EPA). ACTION: Direct final rule. SUMMARY: EPA is taking direct final action to approve revisions to the Imperial County Air Pollution Control District (ICAPCD), Placer County Air Pollution Control...

  19. 76 FR 12280 - Revisions to the California State Implementation Plan, for Imperial County, Kern County, and...

    Science.gov (United States)

    2011-03-07

    ... County, and Ventura County; Air Pollution Control Districts AGENCY: Environmental Protection Agency (EPA). ACTION: Direct final rule. SUMMARY: EPA is taking direct final action to approve revisions to the Imperial County Air Pollution Control District (ICAPCD), Kern County Air Pollution Control District...

  20. 76 FR 13172 - Placer County Water Agency

    Science.gov (United States)

    2011-03-10

    ... Energy Regulatory Commission Placer County Water Agency Notice of Application Tendered for Filing with... Filed: February 23, 2011 d. Applicant: Placer County Water Agency e. Name of Project: Middle Fork... Manager, Placer County Water Agency, 144 Ferguson Road, Auburn, CA 95603; Telephone: (530) 823-4490....

  1. The surficial aquifer in Pinellas County, Florida

    Science.gov (United States)

    Causseaux, K.W.

    1985-01-01

    The surficial aquifer in Pinellas County, Florida, contains potable water throughout most of the county and is a potential source of water to augment the public supply that is presently imported from adjacent counties. The county accounts for 38 percent of the public supply consumption of ground water in the 11-county area of west-central Florida and 68 percent of this water is imported from two adjacent counties. The surficial aquifer has a saturated thickness of more than 30 feet throughout most of the county. Specific capacity per foot of screen for wells is less than 0.1 gallon per minute per foot of drawdown in some parts of the county, but yield is sufficient in most of the county for many small uses with shallow-well pumps. Minimum potential yield varies from 5 gallons per minute in the northern part of the county to more than 30 gallons per minute in the south. Concentrations of iron are high enough in parts of the county to cause staining. Chloride concentrations are less than 100 milligrams per liter in most of the county and do not pose a problem for many uses. (USGS)

  2. Trouble Brewing in Orange County. Policy Brief

    Science.gov (United States)

    Buck, Stuart

    2010-01-01

    Orange County will soon face enormous budgetary pressures from the growing deficits in public pensions, both at a state and local level. In this policy brief, the author estimates that Orange County faces a total $41.2 billion liability for retiree benefits that are underfunded--including $9.4 billion for the county pension system and an estimated…

  3. Clinton County Child Care Needs Assessment

    OpenAIRE

    Elicker, James; Benner, Aprile; Hahn, Georgia; Hertzog, Jodie; Kensinger, Katherine

    1998-01-01

    The final report of a research study assessing current and future needs for child care in Clinton county. Counties with similar profiles may find the results relevant. The methods used also can serve as a model for other counties wishing to conduct their own assessments.

  4. Somerset County Employer Needs Assessment.

    Science.gov (United States)

    Rephann, Terance J.

    Allegany Community College in Cumberland, Maryland, conducted an employer assessment survey of Somerset County businesses during the winter of 1995 in order to provide evaluation data for planning and curriculum development for the secondary and postsecondary educational institutions. The survey was mailed to 760 establishments, with a 29 percent…

  5. Southern Nevada Library Services; Serving Lincoln County, Nye County, Esmeralda County through the Clark County Library District: An Evaluation.

    Science.gov (United States)

    Dalton, Phyllis I.

    An anecdotal review covers the first year of increased library service in Nye, Lincoln, and Esmeralda Counties, Nevada, under the Southern Nevada Library Services project funded by the Library Services and Construction Act. Using information from questionnaires and site visits, the extent of library services in each community in the area is…

  6. Hydrogeology of Webb County, Texas

    Science.gov (United States)

    Lambert, Rebecca B.

    2004-01-01

    Introduction: Webb County, in semiarid South Texas on the U.S.-Mexico border, is a region confronted by increasing stresses on natural resources. Laredo (fig. 1), the largest city in Webb County (population 193,000 in 2000), was one of the 10 fastest-growing metropolitan areas in the country during 1990-2000 (Perry and Mackun, 2001). Commercial and industrial activities have expanded throughout the region to support the maquiladora industry (manufacturing plants in Mexico) along the border and other growth as a result of the passage of the North American Free Trade Agreement. The Rio Grande currently (2002) is the primary source of public water supply for Laredo and other cities along the border in Webb County (fig. 1). Other cities, such as Bruni and Mirando City in the southeastern part of the county, rely on ground-water supplies to meet municipal demands. Increased water demand associated with development and population growth in the region has increased the need for the City of Laredo and Webb County to evaluate alternative water sources to meet future demand. Possible options include (1) supplementing the surface-water supply with ground water, and (2) applying artificial storage and recovery (ASR) technology to recharge local aquifers. These options raise issues regarding the hydraulic capability of the aquifers to store economically substantial quantities of water, current or potential uses of the resource, and possible effects on the quality of water resulting from mixing ground water with alternative source waters. To address some of these issues, the U.S. Geological Survey (USGS), in cooperation with the City of Laredo, began a study in 1996 to assess the ground-water resources of Webb County. A hydrogeologic study was conducted to review and analyze available information on the hydrogeologic units (aquifers and confining units) in Webb County, to locate available wells in the region with water-level and water-quality information from the aquifers, and

  7. Water resources of Langlade County, Wisconsin

    Science.gov (United States)

    Batten, W. G.

    1987-01-01

    Langlade County depends almost exclusively on ground water pumped from the glacial sand and gravel deposits for its water needs. Well yields of 10 to 20 gallons per minute can be obtained from these deposits throughout most of the county. Yields of 500 to 1,000 gallons per minute are obtained for irrigation of crops from glacial outwash deposits in some areas of the county and particularly in the extensive 125-square-mile outwash plain in south-central Langlade County. Very low yields of less than 5 gallons per minute are obtainable for private domestic use from Precambrian crystalline rocks in areas of the county where overlying glacial material is thin. Glacial deposits are more than 400 feet thick in glacial moraine areas of east-central Langlade County; saturated thicknesses exceed 250 feet in the north-central part of the county.

  8. Chester County ground-water atlas, Chester County, Pennsylvania

    Science.gov (United States)

    Ludlow, Russell A.; Loper, Connie A.

    2004-01-01

    Chester County encompasses 760 square miles in southeastern Pennsylvania. Groundwater- quality studies have been conducted in the county over several decades to address specific hydrologic issues. This report compiles and describes water-quality data collected during studies conducted mostly after 1990 and summarizes the data in a county-wide perspective. In this report, water-quality constituents are described in regard to what they are, why the constituents are important, and where constituent concentrations vary relative to geology or land use. Water-quality constituents are grouped into logical units to aid presentation: water-quality constituents measured in the field (pH, alkalinity, specific conductance, and dissolved oxygen), common ions, metals, radionuclides, bacteria, nutrients, pesticides, and volatile organic compounds.Waterquality constituents measured in the field, common ions (except chloride), metals, and radionuclides are discussed relative to geology. Bacteria, nutrients, pesticides, and volatile organic compounds are discussed relative to land use. If the U.S. Environmental Protection Agency (USEPA) or Chester County Health Department has drinkingwater standards for a constituent, the standards are included. Tables and maps are included to assist Chester County residents in understanding the water-quality constituents and their distribution in the county. Ground water in Chester County generally is of good quality and is mostly acidic except in the carbonate rocks and serpentinite, where it is neutral to strongly basic. Calcium carbonate and magnesium carbonate are major constituents of these rocks. Both compounds have high solubility, and, as such, both are major contributors to elevated pH, alkalinity, specific conductance, and the common ions. Elevated pH and alkalinity in carbonate rocks and serpentinite can indicate a potential for scaling in water heaters and household plumbing. Low pH and low alkalinity in the schist, quartzite, and

  9. Yolo County controlled landfill project

    Energy Technology Data Exchange (ETDEWEB)

    Augenstein, D. [IEM, Palo Alto, CA (United States); Yazdani, R.; Dahl, K.; Mansoub, A.; Moore, R. [Yolo County Department of Public Works, Davis, CA (United States); Pacey, J. [Emcon, San Mateo, CA (United States)

    1999-07-01

    A new landfill management approach controlled landfilling is being demonstrated by the Yolo County, California Department of Public Works at the Yolo County Central Landfill (YCCL) near Davis. Overall objectives are to obtain earlier and greater methane energy recovery from landfilled waste and to reduce landfill greenhouse gas emissions to near-negligible levels. Methane generation and waste stabilization were accelerated by improving biological conditions within a test cell through carefully controlled additions of water and leachate. A control cell was operated in parallel. Landfill gas capture was maximized, with emissions reduced to minimal levels, by a combination of surface membrane containment, a permeable layer conducting gas to collection points, and operation at slight vacuum. Cells are highly instrumented to determine performance. To date, normalized methane recovery is the highest seen from such a large waste mass, anywhere - about ten times that from conventional landfall practice. The rationale and details of this project, and first three years' results, are summarized. (author)

  10. Brookside Mills, Knox County, TN

    Science.gov (United States)

    Brookside Mills, located in Knox County, TN, was a textile mill that was founded in 1885 and at its peak employed over 1,000 people. Its former uses included fabric weaving, dying, and sewing operations. It was at some point a department store, and during a portion of its history, coal was used as an energy source. Weaving operations continued in some form at the Brookside factory until 1969. In 1996 the buildings were demolished.

  11. Inhibition of cytochrome P450 enzymes by saturated and unsaturated fatty acids in human liver microsomes, characterization of enzyme kinetics in the presence of bovine serum albumin (0.1 and 1.0% w/v) and in vitro - in vivo extrapolation of hepatic clearance.

    Science.gov (United States)

    Palacharla, Raghava Choudary; Uthukam, Venkatesham; Manoharan, Arunkumar; Ponnamaneni, Ranjith Kumar; Padala, Nagasurya Prakash; Boggavarapu, Rajesh Kumar; Bhyrapuneni, Gopinadh; Ajjala, Devender Reddy; Nirogi, Ramakrishna

    2017-04-01

    The objective of the study was to determine the effect of fatty acids on CYP enzymes and the effect of BSA on intrinsic clearance of probe substrates. The inhibitory effect of thirteen fatty acids including saturated, mono-unsaturated and polyunsaturated fatty acids on CYP enzymes, kinetic parameters and intrinsic clearance values of nine CYP marker probe substrate reactions in the absence and presence of BSA (0.1 and 1.0% w/v) were characterized in human liver microsomes. The results demonstrate that most of the unsaturated fatty acids showed marked inhibition towards CYP2C8 mediated amodiaquine N-deethylation followed by inhibition of CYP2C9 and CYP2B6 mediated activities. The addition of 0.1% BSA in the incubation markedly improved the unbound intrinsic clearance values of probe substrates by reducing the Km values with little or no effect on maximal velocity. The addition of BSA (0.1 and 1.0% w/v) did not influence the unbound intrinsic clearance of marker reactions for CYP2A6, and CYP3A4 enzymes. The addition of 0.1% w/v BSA is sufficient to determine the intrinsic clearance of marker probe reactions by metabolite formation approach. The predicted hepatic clearance values for the substrates using the well-stirred model, in the presence of BSA (0.1% BSA), are comparable to the in vivo hepatic clearance values.

  12. 7 CFR 7.25 - County executive director duties.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 1 2010-01-01 2010-01-01 false County executive director duties. 7.25 Section 7.25... CONSERVATION STATE, COUNTY AND COMMUNITY COMMITTEES § 7.25 County executive director duties. (a) The county executive director shall execute the policies established by the county committee and be responsible for...

  13. VT County Forest Data 1966-1997

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) This datalayer contains Vermont forestry estimate data, by county, primarily obtained from the Vermont Forest Inventory and Analysis (FIA),...

  14. VT River Restoration Data in Lamoille County

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) Documented river and riparian buffer restoration projects in Lamoille County, Vermont. Restoration includes buffer plantings (trees and shrubs),...

  15. Houses of Worship - Volusia County Churches (Points)

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Volusia County church locations were aggregated from several sources including Property Appraisal parcel data, Supervisor of Elections resources, Bell South Yellow...

  16. 75 FR 26709 - Clarke County Water Supply Project, Clarke County, IA

    Science.gov (United States)

    2010-05-12

    ... Natural Resources Conservation Service Clarke County Water Supply Project, Clarke County, IA AGENCY... Moines, IA 50309-2180, telephone: 515-284- 4769. SUPPLEMENTARY INFORMATION: A Notice of Intent (NOI) to... http://www.ia.nrcs.usda.gov . A map of the Clarke County Water Supply proposed study sites will also...

  17. 75 FR 25308 - Environmental Impact Statement: Winnebago County, IL and Rock County, WI

    Science.gov (United States)

    2010-05-07

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF TRANSPORTATION Federal Highway Administration Environmental Impact Statement: Winnebago County, IL and Rock County, WI... Beloit, Rock County, Wisconsin to the interchange of Rockton Road and I-90 southeast of South...

  18. 75 FR 31463 - Comal County Regional Habitat Conservation Plan, Comal County, TX

    Science.gov (United States)

    2010-06-03

    ... Fish and Wildlife Service Comal County Regional Habitat Conservation Plan, Comal County, TX AGENCY... statement, draft habitat conservation plan, and permit application; announcement of a public hearing... County, Texas, as a result of activities including, but not limited to: Public or private...

  19. 33 CFR 100.905 - Door County Triathlon; Door County, WI.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Door County Triathlon; Door County, WI. 100.905 Section 100.905 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY REGATTAS AND MARINE PARADES SAFETY OF LIFE ON NAVIGABLE WATERS § 100.905 Door County...

  20. Poor people on the move: county-to-county migration and the spatial concentration of poverty.

    Science.gov (United States)

    Nord, M

    1998-05-01

    "Poverty rates in high-poverty and low-poverty rural [U.S.] counties, and, thus, the spatial concentration of poverty, are affected by poverty-specific differences in in-migration and out-migration patterns. These patterns are investigated using 1985-90 county-to-county migration data from the decennial census. Effects on poverty rates of four migration flows (in- and out-migration of poor, in- and out-migration of nonpoor) are quantified, and their impacts on spatial concentration of poverty are assessed. The effect of selected county characteristics on the migration of the poor and nonpoor in nonmetro counties [is] estimated."

  1. 76 FR 44302 - Fresno County Resource Advisory Committee

    Science.gov (United States)

    2011-07-25

    ... Robbin Ekman, Fresno County Resource Advisory Committee Coordinator, c/ o Sierra National Forest, High... FURTHER INFORMATION CONTACT: Robbin Ekman, Fresno County Resource Advisory Committee Coordinator, (559...

  2. 76 FR 28415 - Fresno County Resource Advisory Committee

    Science.gov (United States)

    2011-05-17

    ... Robbin Ekman, Fresno County Resource Advisory Committee Coordinator, c/ o Sierra National Forest, High... FURTHER INFORMATION CONTACT: Robbin Ekman, Fresno County Resource ] Advisory Committee Coordinator, (559...

  3. Geothermal development issues: Recommendations to Deschutes County

    Energy Technology Data Exchange (ETDEWEB)

    Gebhard, C.

    1982-07-01

    This report discusses processes and issues related to geothermal development. It is intended to inform planners and interested individuals in Deschutes County about geothermal energy, and advise County officials as to steps that can be taken in anticipation of resource development. (ACR)

  4. Educational and Demographic Profile: Madera County

    Science.gov (United States)

    California Postsecondary Education Commission, 2004

    2004-01-01

    This profile uniquely presents a variety of educational and socioeconomic information for Madera County, nearby counties, and the state. The profile highlights the relationship between various factors that affect the economic well-being of individuals and communities. This presentation of information provides a framework for enhanced…

  5. Educational and Demographic Profile: Napa County.

    Science.gov (United States)

    California Postsecondary Education Commission, 2004

    2004-01-01

    This profile uniquely presents a variety of educational and socioeconomic information for Napa County, nearby counties, and the state. The profile highlights the relationship between various factors that affect the economic well-being of individuals and communities. This presentation of information provides a framework for enhanced communication…

  6. Cheyenne-Laramie County Economic Development Strategy

    Science.gov (United States)

    1986-06-01

    Chamber of Commerce John Etchepare Warren Livestock Co. Shirley Francis Laramie County Commissioner Nancy Gire Economic Development Planner, Cheyenne...Eagle Reeves & Company Investments Jeff Ketcham John Rogers Laramie County Commissioner Rogers, Wolf & Blythe Mike Lane Dean Run Lane & Associates...Dorn, Director of Planning Mountain Bell Memorial Hospital Fred Baggs, General Manager Joe Dougherty Fleiscli Oil Yellowstone Neighborhood

  7. Imperial County geothermal development annual meeting: summary

    Energy Technology Data Exchange (ETDEWEB)

    1983-01-01

    All phases of current geothermal development in Imperial County are discussed and future plans for development are reviewed. Topics covered include: Heber status update, Heber binary project, direct geothermal use for high-fructose corn sweetener production, update on county planning activities, Brawley and Salton Sea facility status, status of Imperial County projects, status of South Brawley Prospect 1983, Niland geothermal energy program, recent and pending changes in federal procedures/organizations, plant indicators of geothermal fluid on East Mesa, state lands activities in Imperial County, environmental interests in Imperial County, offshore exploration, strategic metals in geothermal fluids rebuilding of East Mesa Power Plant, direct use geothermal potential for Calipatria industrial Park, the Audubon Society case, status report of the Cerro Prieto geothermal field, East Brawley Prospect, and precision gravity survey at Heber and Cerro Prieto geothermal fields. (MHR)

  8. Environmental assessment: Deaf Smith County site, Texas

    Energy Technology Data Exchange (ETDEWEB)

    1986-05-01

    In February 1983, the US Department of Energy (DOE) identified a location in Deaf Smith County, Texas, as one of nine potentially acceptable sites for a mined geologic repository for spent nuclear fuel and high-level radioactive waste. To determine their suitability, the Deaf Smith County site and the eight other potentially sites have been evaluated in accordance with the DOE's General Guidelines for the Recommendation of Sites for the Nuclear Waste Repositories. The Deaf Smith County site is in the Permian Basin, which is one of five distinct geohydrologic settings considered for the first repository. On the basis of the evaluations reported in this EA, the DOE has found that the Deaf Smith County site is not disqualified under the guidelines. On the basis of these findings, the DOE is nominating the Deaf Smith County site as one of the five sites suitable for characterization. 591 refs., 147 figs., 173 tabs.

  9. Fayette County Better Buildings Initiative

    Energy Technology Data Exchange (ETDEWEB)

    Capella, Arthur [County of Fayette, Uniontown, PA (United States)

    2015-03-04

    The Fayette County Better Buildings Initiative represented a comprehensive and collaborative approach to promoting and implementing energy efficiency improvements. The initiative was designed to focus on implementing energy efficiency improvements in residential units, while simultaneously supporting general marketing of the benefits of implementing energy efficiency measures. The ultimate goal of Fayette County’s Better Buildings Initiative was to implement a total of 1,067 residential energy efficiency retrofits with a minimum 15% estimated energy efficiency savings per unit. Program partners included: United States Department of Energy, Allegheny Power, and Private Industry Council of Westmoreland-Fayette, Fayette County Redevelopment Authority, and various local partners. The program was open to any Fayette County residents who own their home and meet the prequalifying conditions. The level of assistance offered depended upon household income and commitment to undergo a BPI – Certified Audit and implement energy efficiency measures, which aimed to result in at least a 15% reduction in energy usage. The initiative was designed to focus on implementing energy efficiency improvements in residential units, while simultaneously supporting general marketing of the benefits of implementing energy efficiency measures. Additionally, the program had components that involved recruitment and training for employment of persons in the energy sector (green jobs), as well as marketing and implementation of a commercial or community facilities component. The residential component of Fayette County’s Better Buildings Initiative involved a comprehensive approach, providing assistance to low- moderate- and market-rate homeowners. The initiative will also coordinate activities with local utility providers to further incentivize energy efficiency improvements among qualifying homeowners. The commercial component of Fayette County’s Better Building Initiative involved grants

  10. Costilla County Biodiesel Pilot Project

    Energy Technology Data Exchange (ETDEWEB)

    Doon, Ben; Quintana, Dan

    2011-08-25

    The Costilla County Biodiesel Pilot Project has demonstrated the compatibility of biodiesel technology and economics on a local scale. The project has been committed to making homegrown biodiesel a viable form of community economic development. The project has benefited by reducing risks by building the facility gradually and avoiding large initial outlays of money for facilities and technologies. A primary advantage of this type of community-scale biodiesel production is that it allows for a relatively independent, local solution to fuel production. Successfully using locally sourced feedstocks and putting the fuel into local use emphasizes the feasibility of different business models under the biodiesel tent and that there is more than just a one size fits all template for successful biodiesel production.

  11. 75 FR 79334 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2010-12-20

    ...; ] DEPARTMENT OF AGRICULTURE Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting... expenditure of Payments to States Madera County Title II funds. The Madera County Resource Advisory Committee...

  12. 7 CFR 1230.634 - FSA county office report.

    Science.gov (United States)

    2010-01-01

    ... CONSUMER INFORMATION Procedures for the Conduct of Referendum Referendum § 1230.634 FSA county office report. The FSA county office will notify the FSA State office of the results of the referendum. Each FSA county office will transmit the results of the referendum in its county to the FSA State office. Such...

  13. County and Parish Boundaries, Published in 2009, 1:4800 (1in=400ft) scale, Chautauqua County/Elk County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:4800 (1in=400ft) scale, was produced all or in part from Hardcopy Maps information as of 2009. Data by...

  14. County and Parish Boundaries, County Boundary Layer, Published in unknown, 1:2400 (1in=200ft) scale, Walworth County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Published Reports/Deeds information as of unknown....

  15. County and Parish Boundaries, county boundary, Published in 2008, 1:24000 (1in=2000ft) scale, Box Elder County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2008. It is described as...

  16. County and Parish Boundaries, counties, Published in 2008, 1:24000 (1in=2000ft) scale, Box Elder County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2008. It is described as...

  17. County and Parish Boundaries, County Boundary, Published in 2013, 1:12000 (1in=1000ft) scale, Portage County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:12000 (1in=1000ft) scale, was produced all or in part from Published Reports/Deeds information as of 2013....

  18. County and Parish Boundaries, county mask, Published in 2009, 1:24000 (1in=2000ft) scale, Washington County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2009. It is described as...

  19. Influence of Peer Pressure on Secondary School Students Drop out in Rongo Sub-County, Migori County, Kenya

    Science.gov (United States)

    Omollo, Atieno Evaline; Yambo, Onyango J. M.

    2017-01-01

    The purpose of this study was to establish the influence of peer pressure on secondary school students' drop out in Rongo Sub-County, Migori County, Kenya. The statement of the problem showed that the sub-county had a dropout rate of 43 percent as compared to the neighboring sub counties like Uriri, Awendo, Nyatike, Kuria and Migori which had 25,…

  20. Bioassessment of Hollis Creek, Oktibbeha County, Mississippi

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Physical, chemical and biological components at five stations on Hollis Creek, Oktibbeha County, Mississippi were evaluated using Rapid Bioassessment Protocols (RBP)...

  1. DCS Hydrology Submission for Lincoln County, Oregon

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The hydrology dataset for Lincoln County, Oregon includes proposed 10-, 50-, 100-, and 500-year discharges for Salmon River, Schooner Creek, Drift Creek, Siletz...

  2. 2008 South Carolina Lidar: Cherokee County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  3. 2008 South Carolina Lidar: Chester County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  4. 2008 South Carolina Lidar: Greenwood County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  5. 2008 South Carolina Lidar: Chesterfield County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  6. 2008 South Carolina Lidar: Marion County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  7. Hydrologic Data Sites for Garfield County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Garfield County, Utah. The scope and...

  8. Hydrologic Data Sites for Wayne County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Wayne County, Utah. The scope and purpose...

  9. 2008 St. Johns County, FL Countywide Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Airborne terrestrial LiDAR was collected for St. Johns County, FL. System Parameters/Flight Plan. The LiDAR system acquisition parameters were developed based on a...

  10. 2008 South Carolina Lidar: Laurens County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  11. 2008 South Carolina Lidar: Union County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  12. 2008 South Carolina Lidar: Dillon County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  13. Floodplain Mapping Submission for Oregon County, MO

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Floodplain Mapping study deliverables depict and quantify the flood risks for Oregon County, MO. The City of Thayer and the Missouri State Emergency Management...

  14. De Baca County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set contains a vector digital representation of all accessible roads including interstate highways, State highways, county roads and city streets in DeBaca...

  15. 2009 Bayfield County Lake Superior Lidar Survey

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The LIDAR survey presents digital elevation data sets of a bald earth surface model and 2ft interval contours covering Bayfield County, Wisconsin. The LIDAR data was...

  16. 2014 Horry County, South Carolina Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set is comprised of lidar point cloud data. This project required lidar data to be acquired over Horry County, South Carolina. The total area of the Horry...

  17. 2009 USGS New Jersey Lidar: Mercer County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — High accuracy LiDAR data covering Mercer County New Jersey (228 sq miles). These datasets will be the initial acquisition to support general geospatial needs of the...

  18. 2004 SWFWMD Citrus County Lidar Survey

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This metadata record describes the ortho & LIDAR mapping of Citrus County, FL. The mapping consists of LIDAR data collection, contour generation, and production...

  19. 2005 Delaware Coastal Program Lidar: Sussex County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The data were acquired in March 2005 using the NASA Experimental Advanced Airborne Research Lidar (EAARL) platform in Sussex County, Delaware. Once acquired, the...

  20. 2005 Hancock and Jackson Counties, MS Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This metadata record describes the topographic mapping of Hancock and Jackson Counties, Mississippi during 2005. Using a combination of laser rangefinding, GPS...

  1. 2011 South Carolina DNR Lidar: York County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Towill Inc. collected LiDAR for over 3,500 square miles in York, Pickens, Anderson, and Oconee Counties in South Carolina. This metadata covers the LiDAR produced...

  2. Submerged Aquatic Vegetation (SAV) - Volusia County Seagrass

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Aquatic vegetation in Volusia County. DEP SEA_GRASSES This polygon GIS data set represents a compilation of statewide seagrass data from various source agencies and...

  3. Hotels and Motels - Volusia County Lodging (Points)

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Abstract: This file shows the physical location of known Hotel, Motel, and Bed and Breakfast establishments in Volusia County. This file will be checked at least...

  4. Zoning Districts - Volusia County HUB Zones

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Historically Underutilized Business (HUB) Zones in Volusia County. Go to http://www.sba.gov/hubzone or contact the Department of Economic Development (386) 248-8048...

  5. Elevation Data for Jefferson County, WI

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Land Elevation TINs (Triangulated Irregular Networks) in this directory are generated from 2 foot contour lines from Jefferson County. Little is known about the...

  6. Basemap Framework Submission for Story County IA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital 4 band ortho imagery covering 41 counties in southwest Iowa was flown Spring 2009. Imagery was collected with Lecia ADS80-SH82 and ADS40-SH51 digital cameras...

  7. Basemap Framework Submission for Floyd County IA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital 4 band ortho imagery covering 41 counties in southwest Iowa was flown Spring 2010. Imagery was collected with Lecia ADS80-SH82 and ADS40-SH51 digital cameras...

  8. 2012 South Carolina DNR Lidar: Calhoun County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Towill Inc. collected LiDAR for over 3,300 square miles in Calhoun, Aiken, Barnwell, Edgefield, McCormick, and Abbeville counties in South Carolina. This metadata...

  9. 2012 South Carolina DNR Lidar: Abbeville County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Towill Inc. collected LiDAR for over 3,300 square miles in Calhoun, Aiken, Barnwell, Edgefield, McCormick, and Abbeville counties in South Carolina. This metadata...

  10. 2012 South Carolina DNR Lidar: Aiken County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Towill Inc. collected LiDAR for over 3,300 square miles in Calhoun, Aiken, Barnwell, Edgefield, McCormick, and Abbeville counties in South Carolina. This metadata...

  11. 2012 South Carolina DNR Lidar: Edgefield County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Towill Inc. collected LiDAR for over 3,300 square miles in Calhoun, Aiken, Barnwell, Edgefield, McCormick, and Abbeville counties in South Carolina. This metadata...

  12. 2012 South Carolina DNR Lidar: Barnwell County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Towill Inc. collected LiDAR for over 3,300 square miles in Calhoun, Aiken, Barnwell, Edgefield, McCormick, and Abbeville counties in South Carolina. This metadata...

  13. National Weather Service County Warning Area Boundaries

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains polygons corresponding to the County Warning Areas (CWAs) of each Weather Forecast Office (WFO) in the National Weather Service (NWS).

  14. 2008 South Carolina Lidar: Fairfield County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  15. 2008 South Carolina Lidar: Williamsburg County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  16. 2008 South Carolina Lidar: Marlboro County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  17. 2008 South Carolina Lidar: Darlington County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  18. 2008 South Carolina Lidar: Newberry County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  19. 2008 South Carolina Lidar: Clarendon County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  20. 2000 Cayuga County New York Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — These data were collected in April of 2000 for the Cayuga County New York Department of Planning and Economic Development. Elevation points were sampled at densities...

  1. Bouquets Best the Brickbats at Tarrant County.

    Science.gov (United States)

    Lace, William W.

    1984-01-01

    Reports on Tarrant County Junior College's media campaign using testimonials by former students to attract new students, inform the community about educational opportunities, and answer questions about the college. (DMM)

  2. Port Authority of Allegheny County Transit Routes

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Shapefile of Transit Routes - Please refer to each resource for active dates of the route information. Routes change over time,

  3. Hydrologic Data Sites for Millard County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Millard County, Utah. The scope and purpose...

  4. CDC BioSense: Tarrant County, Texas

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Tarrant County Public Health (TCPH) and Biosense collaboration is an effort to visualize TCPH health data collected by Biosense using Google Fusion Table...

  5. Jefferson County Bio-energy Initiative

    Energy Technology Data Exchange (ETDEWEB)

    Yates, Wade [Jefferson County Colorado, Golden, CO (United States)

    2006-06-01

    The Jefferson County Bio-energy Initiative (JCBI) seeks to develop economically viable market outlets for forest thinning biomass through the creation of new businesses and public-private sector partnerships, while simultaneously reducing the risk of catastrophic fires and associated costs and damages. Jefferson County has a strong interest in cooperating with the United States Forest Service (USFS) and private industry to help create the infrastructure that will reduce the barriers to new bio-energy markets due to logistical concerns over long-term forest biomass supply availability. Jefferson County believes that developing a site that allows for the creation of a large central biomass-processing facility will help reduce the costs and risks associated with supply uncertainty. The JCBI will operate as a cooperative between public and private sector entities, with Jefferson County acting as facilitator and not as a competitor.

  6. Survey for bats in Jackson County, Colorado

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report covers a targeted bat survey of Jackson County in north-central Colorado to better understand the abundance and distribution of bats in Colorado. The...

  7. Hydrologic Data Sites for Saltlake County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Salt Lake County, Utah. The scope and...

  8. 2004 St. Johns County, Florida Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset is the bare earth lidar data for St. Johns County, Florida, acquired in early January and February of 2004. This data was collected to develop...

  9. Environmental assessment: Deaf Smith County site, Texas

    Energy Technology Data Exchange (ETDEWEB)

    1986-05-01

    In February 1983, the US Department of Energy (DOE) identified a location in Deaf Smith County, Texas, as one of the nine potentially acceptable sites for mined geologic repository for spent nuclear fuel and high-level radioactive waste. To determine their suitability, the Deaf Smith County site and eight other potentially acceptable sites have been evaluated in accordance with the DOE's General Guidelines for the Recommendation of Sites for the Nuclear Waste Repositories. The Deaf Smith County site is in the Permian Basin, which is one of five distinct geohydrologic settings considered for the first repository. On the basis of the evaluations reported in this EA, the DOE has found that the Deaf Smith County site is not disqualified under the guidelines.

  10. Hydrologic Data Sites for Iron County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Iron County, Utah. The scope and purpose...

  11. Hydrologic Data Sites for Daggett County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Daggett County, Utah. The scope and...

  12. Hydrologic Data Sites for Cache County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Cache County, Utah. The scope and purpose...

  13. Hydrologic Data Sites for Sanpete County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Sanpete County, Utah. The scope and...

  14. 2010 FEMA Lidar: Ozaukee County (WI)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Ozaukee AOI consists of one area encompassing the entire county. Ground Control is collected throughout the AOI for use in the processing of LiDAR data to ensure...

  15. 2009 Bayfield County Lake Superior Lidar Survey

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The LIDAR survey presents digital elevation data sets of a bald earth surface model and 2ft interval contours covering Bayfield County, Wisconsin. The LIDAR data was...

  16. Hydrologic Data Sites for Sanjuan County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for San Juan County, Utah. The scope and...

  17. Allegheny County Kane Regional Center Census

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Total number of residents in each Kane Regional Center facility by race and gender. The Kane Regional Centers are skilled nursing and rehabilitation centers run by...

  18. Model county ordinance for wind projects

    Energy Technology Data Exchange (ETDEWEB)

    Bain, D.A. [Oregon Office of Energy, Portland, OR (United States)

    1997-12-31

    Permitting is a crucial step in the development cycle of a wind project and permits affect the timing, cost, location, feasibility, layout, and impacts of wind projects. Counties often have the lead responsibility for permitting yet few have appropriate siting regulations for wind projects. A model ordinance allows a county to quickly adopt appropriate permitting procedures. The model county wind ordinance developed for use by northwest states is generally applicable across the country and counties seeking to adopt siting or zoning regulations for wind will find it a good starting place. The model includes permitting procedures for wind measurement devices and two types of wind systems. Both discretionary and nondiscretionary standards apply to wind systems and a conditional use permit would be issued. The standards, criteria, conditions for approval, and process procedures are defined for each. Adaptation examples for the four northwest states are provided along with a model Wind Resource Overlay Zone.

  19. FY2015 VHA Enrollees by County

    Data.gov (United States)

    Department of Veterans Affairs — The VA's Veteran Health Administration, in support of the Open Data Initiative, is providing the number of Veteran enrollees by state/county for fiscal year 2015....

  20. 2006 Volusia County Florida LiDAR

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset is the lidar data for Volusia County, Florida, approximately 1,432 square miles, acquired in early March of 2006. A total of 143 flight lines of Lidar...

  1. 2004 St. Johns County, Florida Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset is the bare earth lidar data for St. Johns County, Florida, acquired in early January and February of 2004. This data was collected to develop...

  2. Conservation Reserve Program Acreage by County

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset contains information regarding the acreages of land currently (as of 2004) enrolled in the Conservation Reserve Program (CRP) distributed by county and...

  3. Allegheny County Municipal Land Use Ordinances

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Many municipalities have their own land use ordinances and establish standards and requirements for land use and development in that municipality. This dataset is...

  4. Allegheny County Housing and Community Environment Inspections

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Residential housing inspections and inspections in response to complaints for community environment problems, such as open vacant structures, vacant lots with...

  5. 2008 South Carolina Lidar: Lancaster County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  6. 2008 South Carolina Lidar: Orangeburg County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  7. Environmental assessment, Deaf Smith County site, Texas

    Energy Technology Data Exchange (ETDEWEB)

    1986-05-01

    The Nuclear Waste Policy Act of 1982 (42 USC sections 10101-10226) requires the environmental assessment of a proposed site to include a statement of the basis for nominating a site as suitable for characterization. Volume 2 provides a detailed statement evaluating the site suitability of the Deaf Smith County Site under DOE siting guidelines, as well as a comparison of the Deaf Smith County Site to the other sites under consideration. The evaluation of the Deaf Smith County Site is based on the impacts associated with the reference repository design, but the evaluation will not change if based on the Mission Plan repository concept. The second part of this document compares the Deaf Smith County Site to Davis Canyon, Hanford, Richton Dome and Yucca Mountain. This comparison is required under DOE guidelines and is not intended to directly support subsequent recommendation of three sites for characterization as candidate sites. 259 refs., 29 figs., 66 refs. (MHB)

  8. 2015 Cook & Tift County (GA) Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TASK NAME: NOAA OCM Tift and Cook Counties GA Lidar Data Acquisition and Processing Production Task NOAA Contract No. EA133C-11-CQ-0010 Woolpert Order No. 75271...

  9. Bioassessment of Black Creek, Holmes County, Mississippi

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Physical, chemical and biological components at four stations on Black Creek and one station on Harland Creek (reference site), Holmes County, Mississippi were...

  10. VT New Market Tax Credit - Qualifying Counties

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) The EconOther_NMTC layer delineates New Market Tax Credit (NMTC) "hot zones" and qualified counties and census tracts. This dataset is designed to...

  11. Hotels and Motels - Volusia County Lodging (Points)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Abstract: This file shows the physical location of known Hotel, Motel, and Bed and Breakfast establishments in Volusia County. This file will be checked at least...

  12. Hydrogeology of Cibola County, New Mexico

    Science.gov (United States)

    Baldwin, J.A.; Rankin, D.R.

    1995-01-01

    The hydrogeology of Cibola County, New Mexico, was evaluated to determine the occurrence, availability, and quality of ground-water resources. Rocks of Precambrian through Quaternary age are present in Cibola County. Most rocks are sedimentary in origin except for Precambrian igneous and metamorphic rocks exposed in the Zuni Uplift and Tertiary and Quaternary basalts in northern and central parts of the county. The most productive aquifers in the county include (youngest to oldest) Quaternary deposits, sandstones in the Mesaverde Group, the Dakota-Zuni-Bluff aquifer, the Westwater Canyon aquifer, the Todilto- Entrada aquifer, sandstone beds in the Chinle Formation, and the San Andres-Glorieta aquifer. Unconsolidated sand, silt, and gravel form a mantle ranging from a few inches to 150 to 200 feet over much of the bedrock in Cibola County. Well yields range from 5 to 1,110 gallons per minute. Dissolved-solids concentrations of ground water range from 200 to more than 5,200 milligrams per liter. Calcium, magnesium, bicarbonate, and sulfate are the predominant ions in ground water in alluvial material. The Mesaverde Group mainly occurs in three areas of the county. Well yields range from less than 1 to 12 gallons per minute. The predominant ions in water from wells in the Mesaverde Group are calcium, sodium, and bicarbonate. The transition from calcium-predominant to sodium-predominant water in the southwestern part of the county likely is a result of ion exchange. Wells completed in the Dakota-Zuni-Bluff aquifer yield from 1 to 30 gallons per minute. Dissolved-solids concentrations range from 220 to 2,000 milligrams per liter in water from 34 wells in the western part of the county. Predominant ions in the ground water include calcium, sodium, sulfate, and bicarbonate. Calcium predominates in areas where the aquifer is exposed at the surface or is overlain with alluvium. Sandstones in the Chinle Formation yield from 10 to 300 gallons per minute to wells in the Grants

  13. County and Parish Boundaries - COUNTY_GOVERNMENT_BOUNDARIES_IDHS_IN: Governmental Boundaries Maintained by County Agencies in Indiana (Indiana Department of Homeland Security, Polygon feature class)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — COUNTY_GOVERNMENT_BOUNDARIES_IDHS_IN is a polygon feature class that contains governmental boundaries maintained by county agencies in Indiana, provided by personnel...

  14. County and Parish Boundaries - COUNTY_GOVERNMENT_BOUNDARIES_IDHS_IN: Governmental Boundaries Maintained by County Agencies in Indiana (Indiana Department of Homeland Security, Polygon feature class)

    Data.gov (United States)

    NSGIC State | GIS Inventory — COUNTY_GOVERNMENT_BOUNDARIES_IDHS_IN is a polygon feature class that contains governmental boundaries maintained by county agencies in Indiana, provided by personnel...

  15. County and Parish Boundaries, Norton County Boundary given to us by R&S Digital, Published in Not Provided, Norton County Appraisal Office.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, was produced all or in part from Not Provided information as of Not Provided. It is described as 'Norton County Boundary...

  16. Geothermal development plan: Maricopa County

    Energy Technology Data Exchange (ETDEWEB)

    White, D.H.; Goldstone, L.A.

    1982-08-01

    The Maricopa County Geothermal Development Plan evaluated the market potential for utilizing geothermal energy. The study identified six potential geothermal resource areas with temperatures less than 100{sup 0}C (212{sup 0}F) and in addition, four suspected intermediate temperature areas (90{sup 0} to 150{sup 0}C, 194{sup 0} to 300{sup 0}F). Geothermal resources are found to occur in and near the Phoenix metropolitan area where average population growth rates of two to three percent per year are expected over the next 40 years. Rapid growth in the manufacturing, trade and service sectors of the regional economy provides opportunities for the direct utilization of geothermal energy. A regional energy use analysis is included containing energy use and price projections. Water supplies are found to be adequate to support this growth, though agricultural water use is expected to diminish. The study also contains a detailed section matching geothermal resources to potential users. Two comparative analyses providing economic details for space heating projects are incorporated.

  17. The Bridge of Mandolin County

    Science.gov (United States)

    Lantz, Juliette M.; Feindt, Jenny E.; Lewellyn, Eric P. B.; Walczak, Mary M.

    1999-12-01

    The Bridge of Mandolin County is a case designed to teach the general chemistry principles of molar mass, ions and aqueous reactions, solubility rules, and inorganic nomenclature. Through the instructor-facilitated class discussion, students consider the options before the Mandolin Town Council regarding deicing the newly constructed bridge connecting Mandolin with a large nearby city. The students must decipher contradictory claims made on behalf of sodium chloride, the traditional deicer, and calcium magnesium acetate, a new environmentally friendly deicer, to arrive at the most cost-effective and environmentally appropriate deicing product. As they work through the analysis they raise questions that can be addressed in a laboratory setting. Four optional role-playing experiments are included, which can be used by the students to gather information helpful to resolution of the case. The case is intended to be used over two class periods, with a laboratory period in between, though suggestions for other models are provided. Laboratory procedures include an EDTA titration for Ca2+ and Mg2+, a gravimetric analysis, a qualitative examination of ions and solubility, an introduction to freezing point depression and measurement, and an experimental design activity. This case can also successfully be used without alteration in non-majors chemistry or environmental chemistry courses, or upper-level analytical or environmental chemistry courses.

  18. Development Path of Different County-Level Towns

    Institute of Scientific and Technical Information of China (English)

    Haijiao; ZHANG; Zhenghe; ZHANG

    2015-01-01

    County-level town is important space carrier of China’s urbanization and the emphasis and key of strategic distribution for urbanization. Backwardness of county-level towns limits nearby transfer of surplus labor. To promote development of county-level towns,on the basis of classifying county-level towns,this paper analyzed motive and resistance factors of evolution of different county-level towns using historical data collection and statistical method,comparative approach,typical case study method,and studied development path for different county-level towns. From analysis,it reached the conclusion that industry exerts the most direct and fundamental influence on development of county-level towns,while the industrial development in county-level towns must base on their actual conditions. The county-level towns are not isolated,and their development should be established within the framework of national policy environment and superior and subordinate town system.

  19. How Are Kentucky's Children Stacking Up? A County by County Analysis.

    Science.gov (United States)

    Chandler, Betsy

    In a county by county analysis, this report assesses the quality of life for Kentucky's children. Researchers developed a child quotient (CQ) based on 18 indicators: per capita income, children in poverty, women receiving inadequate prenatal care, infant deaths, teens giving birth, substandard dwellings, children in foster care, per-pupil…

  20. Dutchess County Resource Recovery Task Force report: Dutchess County Pyrolysis Program

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-07-01

    Dutchess County initiated development of a long-range master plan for Solid Waste Management in 1971. The plan included development of a resource recovery facility to service the municipalities in the County population center. Based on early recommendations, a pyrolysis facility employing Purox technology was to be implemented. A feasibility study, paid for by County funds was completed in 1975. The study provided siting recommendations, estimation of available waste, and preliminary facility design. Because of various considerations, the project was not developed. Under the Department of Energy grant, the County reassessed the feasibility of a resource recovery facility, with emphasis on confirming previous conclusions supporting the Purox technology, waste availability, energy recovery and sale and siting of the plant. The conclusions reached in the new study were: a resource recovery facility is feasible for the County; sufficient waste for such a facility is available and subject to control; While Purox technology was feasible it is not the most appropriate available technoloy for the County; that mass burning with steam recovery is the most appropriate technology; and that resource recovery while presently more expensive than landfilling, represents the only cost effective, energy efficient, and environmentally sound way to handle the solid waste problem in the County.

  1. INTEGRATED WASTE MANAGEMENT SYSTEM IN HARGHITA COUNTY

    Directory of Open Access Journals (Sweden)

    Mihai-Constantin AVORNICULUI

    2015-11-01

    Full Text Available Waste management problems in Harghita County (and other places in the country have a major negative impact on society and pose a direct threat to human health, and an adverse effect on quality of life. Considering the current practices, it is clear that the system of waste management in Romania and Harghita county needs to be improved to meet the requirements of new national and European regulations. In Harghita County there are 36 protected areas of national interest, four protected areas of local interest and 18 Natura 2000 sites, including 13 Sites of Community Importance (SCI and 5 Special Protection Areas (SPA. Strengthening a sustainable waste management system involves major changes to current practices. Implementing such changes can be successfully achieved only through the involvement of the whole society: population– as users, entrepreneurs, socio-economic institutions and public authorities.

  2. 2012 USGS-FEMA Lidar: Virginia Northern Counties (South)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Dewberry collected LiDAR for ~3,341 square miles in various Virginia Counties, a part of Worcester County, and Hoopers Island. The acquisition was performed by...

  3. Port Authority of Allegheny County Park and Rides

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset includes the GIS shapefile for Port Authority of Allegheny County's Park and Ride facilities. This layer is updated annually or on an as-needed basis...

  4. Articulation is Alive and Working in Somerset County, New Jersey

    Science.gov (United States)

    Teryek, Charles; Kahrmann, Robert G., Jr.

    1976-01-01

    Somerset County Technical Institute and Somerset County College jointly operate and administer a two-year associate program for an applied science degree which was designed primarily to avoid program duplication and competition for funds and students. (Author/BP)

  5. Allegheny County Restaurant/Food Facility Inspection Violations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Facilities located within Allegheny County that produce, distribute and sell food products are subject to mandatory, routine inspection by one of the health...

  6. Allegheny County Voting District Boundaries (Spring 2015 - Spring 2016)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates municipal voting districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  7. 76 FR 67403 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-11-01

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF AGRICULTURE Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting cancellation. SUMMARY: The Madera County Resource Advisory Committee was scheduled to meet...

  8. Allegheny County Pennsylvania U.S. Legislative Congressional District Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the U.S. Legislative Congressional district boundaries within Allegheny County. If viewing this description on the Western Pennsylvania...

  9. Allegheny County Pennsylvania House of Representatives District Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the Pennsylvania House of Representatives district boundaries within Allegheny County. If viewing this description on the Western...

  10. Elevation - LiDAR Survey - Roseau County, Minnesota

    Data.gov (United States)

    Army Corps of Engineers, Department of the Army, Department of Defense — LIDAR Data for Roseau County Minnesota. This project consists of approximately 87 square miles of LIDAR mapping in Roseau County, Minnesota at two sites: area 1,...

  11. 2014 Mobile County, AL DMC 4-Band 8 Bit Imagery

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset was developed to support Mobile County. The project area is 1402 square miles of Mobile County land. The scope of work involved data acquisition and...

  12. Allegheny County Municipal Building Energy and Water Use

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains energy and water use information from 2010 to 2014 for 144 County-operated buildings. Metrics include: kBtu (thousand British thermal units),...

  13. Non-Public Schools in Durham County by Type

    Data.gov (United States)

    City and County of Durham, North Carolina — A list and the locations along with contact phone numbers of private schools within Durham County. The School Type field is either "religious" or independant....

  14. 2012 USGS-FEMA Lidar: Virginia Northern Counties (North)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Dewberry collected LiDAR for ~3,341 square miles in various Virginia Counties, a part of Worcester County, and Hoopers Island. The acquisition was performed by...

  15. Allegheny County Tax Liens (Filings, Satisfactions, and Current Status)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset represents information about county, municipal, school district, and water/sewer tax liens by parcel (and property identification number, where...

  16. 2011 USGS-FEMA Lidar: King William County (VA)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Dewberry collected LiDAR for ~3,341 square miles in various Virginia Counties, a part of Worcester County, and Hooper's Island. The acquisition was performed by...

  17. Allegheny County Voting District Boundaries (Spring 2017 - present)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates municipal voting districts in Allegheny County.If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  18. Uncertified Presidential Election Results Allegheny County General Election

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains uncertified data we compiled since the 2004 general election containing vote totals for presidential candidates by Allegheny County Election...

  19. 75 FR 52804 - Environmental Impact Statement: Stanislaus County, CA

    Science.gov (United States)

    2010-08-27

    ... Federal Highway Administration Environmental Impact Statement: Stanislaus County, CA AGENCY: Federal... Environmental Impact Statement (EIS) will be prepared for a proposed highway project in Stanislaus County... subsequent environmental documentation for project-specific impacts. Letters describing the proposed action...

  20. Allegheny County Voting District Boundaries (Fall 2016 - present)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates municipal voting districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  1. Flooded County Picks Up the Pieces

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Local residents in Xiahe County, Gansu Province, clear up debris left by floodwaters on August 20. People’s Daily Online reported that rains triggered mudrock flows that hit seven villages in three towns on August 19. About 3,000 rooms in the county’s houses are reported to have collapsed and more than 11,400 were flooded. Three people were killed and one was missing. A 30-meter section of highway linking Xiahe and other regions was blocked by falling rocks and mud. The report said the county government had mobilized staff for disaster-relief work.

  2. SOLAR PANELS ON HUDSON COUNTY FACILITIES

    Energy Technology Data Exchange (ETDEWEB)

    BARRY, KEVIN

    2014-06-06

    This project involved the installation of an 83 kW grid-connected photovoltaic system tied into the energy management system of Hudson County's new 60,000 square foot Emergency Operations and Command Center and staff offices. Other renewable energy features of the building include a 15 kW wind turbine, geothermal heating and cooling, natural daylighting, natural ventilation, gray water plumbing system and a green roof. The County intends to seek Silver LEED certification for the facility.

  3. Elementary Experiences,Problems and Countermeasures of County Forestry Economy

    Institute of Scientific and Technical Information of China (English)

    Shaozhi; CHEN; Baomin; FAN; Rong; ZHAO; Youjun; HE; Decheng; ZHANG

    2013-01-01

    County forestry economy is a strong power for regional green economic development,and an important way to improve farmers’ income and promote living environment in urban and rural areas. According to the investigation of ten typical counties or cities with forestry industrial advantage,this paper sums up the elementary experiences of county forestry economy,analyzes its prominent problems. Countermeasures are brought forward to improve the development of county forestry economy.

  4. Shapefile for Coastal Zone Management Program counties of the United States and its territories, 2009 (CZMP_counties_2009.shp)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Shapefile for 492 Coastal Zone Management Program (CZMP) counties and county equivalents, 2009, extracted from the U.S. Census Bureau's MAF/TIGER database of U.S....

  5. 62 FR 28104 - Union Pacific Railroad CompanyAbandonment Exemptionin Malheur County, OR and Owyhee County, ID...

    Science.gov (United States)

    1997-05-22

    ... and Owyhee County, ID (Homedale Branch) On May 2, 1997, Union Pacific Railroad Company (UP) filed with..., and Owyhee County, ID, and includes the non-agency stations of Napton, OR-- milepost 16.90;...

  6. Approximate western limit of glaciation within the Standing Rock Indian Reservation, Sioux County, North Dakota, and Corson County, South Dakota

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This coverage contains information about the western limit of glaciation within the Standing Rock Indian Reservation, Sioux County, North Dakota, and Corson County,...

  7. Buried valleys within the Standing Rock Indian Reservation, Sioux County, North Dakota, and Corson County, South Dakota

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This coverage contains information about the buried valleys within the Standing Rock Indian Reservation, Sioux County, North Dakota, and Corson County, South...

  8. 7 CFR 714.43 - Recommendation by county committee.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Recommendation by county committee. 714.43 Section 714... PENALTIES ERRONEOUSLY, ILLEGALLY, OR WRONGFULLY COLLECTED § 714.43 Recommendation by county committee.... After the recommendation of approval or disapproval is made by the county committee, the claim shall...

  9. 75 FR 31759 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2010-06-04

    ... Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting in North Fork, California... 93643. Send written comments to Julie Roberts, Madera County Resource Advisory Committee Coordinator, c...

  10. 76 FR 6116 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-02-03

    ...] [FR Doc No: 2011-2429] DEPARTMENT OF AGRICULTURE Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource... Madera County Title II funds. DATES: The meetings will be held on February 16th, February 23, 2011 and...

  11. 75 FR 50987 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2010-08-18

    ... Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting in North Fork, California... to States Madera County Title II funds. DATES: The meetings will be held on August 18th, 2010 from 6...

  12. 76 FR 19970 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-04-11

    ... Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting in North Fork, California... the remainder of the year. The Madera County Resource Advisory Committee met in North Fork, California...

  13. 76 FR 66033 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-10-25

    ... Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting in North Fork, California... of Payments to States Madera County Title II funds. DATES: The meeting will be held on November 15...

  14. 76 FR 29722 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-05-23

    ... Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting in North Fork, California... of 2000 (Pub. L. 110-343) for expenditure of Payments to States Madera County Title II funds. DATES...

  15. 76 FR 12316 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-03-07

    ... Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting in North Fork, California...-Determination Act of 2000 (Pub. L. 110-343) for expenditure of Payments to States Madera County Title II funds...

  16. 75 FR 4417 - Wind Cave National Park, Custer County, SD

    Science.gov (United States)

    2010-01-27

    ... Wind Cave National Park, Custer County, SD AGENCY: National Park Service. ACTION: Notice of... Statement, Wind Cave National Park, Custer County, South Dakota. SUMMARY: Pursuant to Section 102(2)(C) of... Environmental Impact Statement (Plan), Wind Cave National Park, Custer County, South Dakota. On December 3,...

  17. 75 FR 54297 - Tri-County Advisory Committee Meeting

    Science.gov (United States)

    2010-09-07

    ... Forest Service Tri-County Advisory Committee Meeting AGENCY: Forest Service, USDA. ACTION: Notice of... Beaverhead-Deerlodge National Forest's Tri-County Resource Advisory Committee will meet on Thursday September... INFORMATION CONTACT: Patty Bates, Tri County Resource Advisory Committee Coordinator, Beaverhead-Deerlodge...

  18. Application of decision support systems in county urban planning: a proposal for Macaé county

    Directory of Open Access Journals (Sweden)

    GALANTE, A. C.

    2008-06-01

    Full Text Available The Macaé County is one of the greatest economy of the state of Rio de Janeiro. With the use of the information technology is possible to create a powerful tool for supporting the decision making processing for this County, aiding the process of improvement of life quality. For that one, intends to use a Decision Support System able to give different kind of information of County areas, like health and education. For the union of all information the datawarehouse technology will be used. For query implementation the technologies of OLAP and GIS are used together. Therefore, those technologies together make a powerful tool for aiding the decision making process of the Macaé County.

  19. County-level environmental quality and associations with individual - and county-level preterm birth

    Science.gov (United States)

    Human health is influenced by simultaneous exposure to stressors and amenities, but research usually considers single exposures. We constructed a county-level Environmental Quality Index (EQI) using principal components analysis with data from five domains (air, water, land, buil...

  20. County and Parish Boundaries, Created when parcel dataset was developed, Published in 2000, Eureka County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset as of 2000. It is described as 'Created when parcel dataset was developed'. Data by this publisher are often provided in...

  1. 2008 USGS South New Jersey County Project Lidar: Portion of Salem County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The South New Jersey County Lidar Project is to provide LiDAR data for the New Jersey Department of Environmental Protection (NJ-DEP) for Cape May, Cumberland, and...

  2. Zip Codes, Buffalo_county_zip_codes, Published in 2006, Buffalo County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Zip Codes dataset, was produced all or in part from Road Centerline Files information as of 2006. It is described as 'Buffalo_county_zip_codes'. Data by this...

  3. School Districts, Walworth County School Districts, Published in 2010, Not Applicable scale, Walworth County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This School Districts dataset, published at Not Applicable scale as of 2010. It is described as 'Walworth County School Districts'. Data by this publisher are often...

  4. 2008 USGS South New Jersey County Project Lidar: Cape May County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The South New Jersey County Lidar project is to provide LiDAR data for the New Jersey Department of Environmental Protection (NJ-DEP) for Cape May, Cumberland, and...

  5. Tire Dumps, washoe county sheriff's office data, Published in 2006, Washoe County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Tire Dumps dataset, was produced all or in part from Field Survey/GPS information as of 2006. It is described as 'washoe county sheriff's office data'. Data by...

  6. School Districts, washoe county school district, Published in 2006, Washoe County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This School Districts dataset, was produced all or in part from Published Reports/Deeds information as of 2006. It is described as 'washoe county school district'....

  7. Parcels and Land Ownership, CountyOwnedParcels0405, Published in 2005, Carbon County GIS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset, was produced all or in part from Other information as of 2005. It is described as 'CountyOwnedParcels0405'. Data by this...

  8. Community Living in Three Wisconsin Counties.

    Science.gov (United States)

    Taylor, Steven J.

    The site visit report describes community living programs for persons with severe disabilities in the Wisconsin counties of Dane, LaCrosse, and Columbia. The visit attempted to identify and document promising practices through interviews with administrators, officials and staff; observations of three foster homes, two small group homes, and two…

  9. VISION SCREENING IN FOUR COUNTIES OF IOWA.

    Science.gov (United States)

    KINDWALL, AUDREY

    FOUR VISION SCREENING METHODS WERE STUDIED DURING THE 1966-67 SCHOOL YEAR IN FOUR SELECTED SCHOOLS WITHIN A FOUR COUNTY AREA IN IOWA. SCREENING METHODS STUDIED WERE (1) SNELLEN CHART FOR DISTANCE VISION, (2) SNELLEN CHART FOR DISTANCE PLUS THE READING CARD-SNELLEN RATING FOR NEAR-POINT TESTING, (3) KEYSTONE VISUAL SURVEY TESTS, AND (4) T/O SCHOOL…

  10. Timber resources of Douglas County, Oregon.

    Science.gov (United States)

    Colin D. MacLean

    1976-01-01

    This report summarizes a 1973 timber resource inventory of Douglas County, Oregon. Detailed tables of forest area, timber volume, growth, mortality, and cut are presented. A discussion of the present resource situation highlights the condition of cutover lands and the opportunities for silvicultural treatment.

  11. Foreign Languages at Tarrant County Junior College.

    Science.gov (United States)

    Harper, Jane

    Even during the 1970's when diminished national interest in foreign language study was reflected in declining enrollments at most colleges, Tarrant County Junior College (TCJC) was able to maintain a vigorous language program by emphasizing oral communication and developing a flexible curriculum. Since 1975, the college has offered its preparatory…

  12. Is Middlesex County College Accomplishing Its Mission?

    Science.gov (United States)

    Balabkins, Xenia P.

    Over the past few years, New Jersey's Middlesex County College (MCC) has placed an inordinate amount of attention and effort on the issue of student transfer to four-year institutions. Although attention to traditional academic goals is important, MCC's stated mission also addresses other important segments of the college's market. The college has…

  13. Allegheny County Clean Indoor Air Act Exemptions

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — List and location of all the businesses and social clubs who have received an exemption from the Pennsylvania Clean Indoor Air Act. “The Clean Indoor Air Act, Act...

  14. Hamilton County: A Rural School District Profile.

    Science.gov (United States)

    Harned, Catherine

    Using state education agency, census, industry employment and occupational information data, this paper provides a detailed picture of a rural school district in Southern Illinois. Mining and agriculture are the major industries in Hamilton County. The major mining employer closed in February 1988, and the drought of 1988 is likely to adversely…

  15. Public Schools. Cuyahoga County Data Brief

    Science.gov (United States)

    Center on Urban Poverty and Community Development (NJ1), 2010

    2010-01-01

    Public school enrollment has fallen in most districts in Cuyahoga County, consistent with the overall population loss. The largest decreases of more than 30% have been in Cleveland and East Cleveland districts. Several inner ring suburbs have also experienced large declines, while a few outlying suburbs show increased enrollments. High school…

  16. Wind Energy Guide for County Commissioners

    Energy Technology Data Exchange (ETDEWEB)

    Costanti, M.

    2006-10-01

    One of the key stakeholders associated with economic development are local government officials, who are often required to evaluate and vote on commercial wind energy project permits, as well as to determine and articulate what wind energy benefits accrue to their counties. Often these local officials lack experience with large-scale wind energy and need to make important decisions concerning what may be a complicated and controversial issue. These decisions can be confounded with diverse perspectives from various stakeholders. This project is designed to provide county commissioners, planners, and other local county government officials with a practical overview of information required to successfully implement commercial wind energy projects in their county. The guidebook provides readers with information on the following 13 topics: Brief Wind Energy Overview; Environmental Benefits; Wind Energy Myths and Facts; Economic Development Benefits; Wind Economics; The Development Process; Public Outreach; Siting Issues; Property Tax Incentives; Power System Impacts; Permitting, Zoning, and Siting Processes; Case Studies; and Further Information. For each of the above topics, the guidebook provides an introduction that identifies the topic, why local government should care, a topic snapshot, how the topic will arise, and a list of resources that define and assess the topic.

  17. Forest statistics for North Mississippi counties - 1994

    Science.gov (United States)

    Joanne L. Faulkner; Patrick E. Miller; Andrew J. Hartsell; Jack D. London

    1993-01-01

    Tabulated results were derived from data obtained during a 1994 forest inventory of north Mississippi counties (fig. 1). Field work was conducted from December 1992 to May 1993. Core tables 1 through 25 were compatible among Forest Inventory and Analysis (FIA) units in the Eastern United States, Supplemental tables 26 through 44 provide information beyond that provided...

  18. Forest statistics for Southwest Mississippi counties - 1994

    Science.gov (United States)

    Joanne L. Faulkner; Andrew J. Hartsell; Jack D. London

    1995-01-01

    Tabulated results were derived from data obtained during a 1994 forest inventory of southwest Mississippi counties (fig. I). These data are considered preliminary. Field work was conducted from February to august 1994. Core tables 1 through 25 are compatible among forest Inventory and Analysis (FIA) units in the Eastern United States. Supplemental tables 26 through 44...

  19. Sheridan County Health Manpower and Education Profile.

    Science.gov (United States)

    Callen, John; And Others

    The profile is a concise description of the demographic and economic characteristics, existing health manpower employed, and health education programs for the Sheridan County area of Wyoming, one of seven surveyed in the Mountain States region (Idaho, Montana, Wyoming, and Nevada). The first section of the profile provides general population…

  20. Clark County Health Manpower and Education Profile.

    Science.gov (United States)

    Callen, John; And Others

    The profile is a concise description of the demographic and economic characteristics, existing health manpower employed, and health education programs for the Clark County area of Nevada, one of seven surveyed in the Mountain States region (Idaho, Montana, Wyoming, and Nevada). The first section of the profile provides general population…

  1. Missoula County Health Manpower and Education Profile.

    Science.gov (United States)

    Callen, John; And Others

    The profile is a concise description of the demographic and economic characteristics, existing health manpower employed, and health education programs for the Missoula County area of Montana, one of seven surveyed in the Mountain States region (Idaho, Montana, Wyoming, and Nevada). The first section of the profile provides general population…

  2. Yellowstone County Health Manpower and Education Profile.

    Science.gov (United States)

    Callen, John; And Others

    The profile is a concise description of the demographic and economic characteristics, existing health manpower employed, and health education programs for the Yellowstone County area of Montana, one of seven surveyed in the Mountain States region (Idaho, Montana, Wyoming, and Nevada). The first section of the profile provides general population…

  3. 2008 FEMA Lidar: South Oneida County (NY)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — For Oneida County, NY, there were two types of elevation datasets. The first type is LiDAR and the second one is Auto-correlation DEM. Auto-correlation DEM data was...

  4. 76 FR 30152 - East Calloway County Middle School Mercury Spill Site, Murray, Calloway County, KY; Notice of...

    Science.gov (United States)

    2011-05-24

    ... From the Federal Register Online via the Government Publishing Office ENVIRONMENTAL PROTECTION AGENCY East Calloway County Middle School Mercury Spill Site, Murray, Calloway County, KY; Notice of... response costs concerning the East Calloway County Middle School Mercury Spill Site located in Murray...

  5. Northeast Florida Regional Sediment Management: Implementation Strategies and Recommendations for Nassau County and Duval County, Florida

    Science.gov (United States)

    2016-03-01

    overall lifecycle costs. Purpose of the study This USACE Engineer Research and Development Center (ERDC), Coastal and Hydraulics Laboratory (CHL...lines. Sediment needs in the study area include the authorized Nassau County and Duval County SPPs, as well as a local beach nourishment project...south, and therefore would be where sediment enters the study area. The sediment budget will be used to help understand coastal processes in the

  6. James Moffett's Mistake: Ignoring the Rational Capacities of the Other

    Science.gov (United States)

    Donehower, Kim

    2013-01-01

    Using Alasdair MacIntyre's theory of tradition-bound rationalities, this essay analyses James Moffett's depiction of the censors who opposed his "Interactions" textbook series in the Kanawha County, West Virginia, schools. Many reviewers have found Moffett's analysis of the censors in "Storm in the Mountains" even-handed and…

  7. Kidney Dialysis Patients Discover New Hope through ABE Program.

    Science.gov (United States)

    Amonette, Linda; And Others

    A program was developed to provide adult basic education (ABE) to kidney patients while they are receiving dialysis treatment. The program, which relies on an individualized learning approach, involved the coordinated efforts of the following parties: West Virginia Dialysis Facilities, Inc.; the Charleston Renal Group; and the Kanawha County Adult…

  8. Conflicting Moralities in Education. ACSA School Management Digest, Series 1, Number 1. ERIC/CEM Research Analysis Series, Number 28.

    Science.gov (United States)

    Coursen, David

    The author begins by noting that if morality depends on how one sees the world, everything that teaches about the world is ultimately a moral question. A number of examples of conflict in textbook selection act as illustrations of moral issues in education--the controversy in Kanawha County, West Virginia; the controversy over evolution and…

  9. Orange County Photovoltaic Project & Educational COmponent

    Energy Technology Data Exchange (ETDEWEB)

    Parker, Renee [Orange County Government, FL (United States)

    2016-02-12

    The purpose of this report is to discuss the projects implemented, utilizing Department of Energy grant funds, to support the use and understanding of renewable energy in Orange County, Florida and the Greater Orlando Area. Orange County is located in the State of Florida and is most popularly referred to as Orlando. The greater Orlando area’s current population is 1,225,267 and in 2015 was the first destination to surpass 60 million visitors. Orange County utilized grant funds to add to the growing demand for access to charging stations by installing one level 2 dual NovaCharge CT4021 electric vehicle charging station at the Orange County/University of Florida Cooperative Extension Center. The charging station is considered a “smart” charger connected to a central network operated by a third party. Data collected includes the number of charging sessions, session start and end times, the electricity usage, greenhouse gases saved and other pertinent data used for reporting purposes. Orange County continues to support the use of electric vehicles in Metro Orlando and this project continues to bring awareness to our public regarding using alternative vehicles. Additionally, we offer all visitors to the Orange County/University of Florida Cooperative Extension Center free charges for their electric vehicles 24 hours a day. Since the operation of the charging station there have been 52 unique driver users, a total of 532.2258 kg of greenhouse gas savings and 159.03 gallons of gasoline savings. The installation of the additional electric vehicle charging station is part of a county-wide goal of promoting implementation of renewable energy technologies as well as supporting the use of electric vehicles including the Drive Electric Orlando & Florida programs. http://driveelectricorlando.com/ & ; http://www.driveelectricflorida.org/ . Grant funds were also used for Outreach and Educational efforts. Educational efforts about renewable energy were accomplished through

  10. Argus Energy WV, LLC wins 2007 Wetlands West Virginia Award

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2007-07-15

    Argus Energy's Kiah Creek Operation has received the 2007 Wetlands West Virginia Award presented by the West Virginian Coal Association. The operation was originally a 1267 acre underground mine in the Coalburg seam. Underground mining commenced in 2000 until the end of 2003 with more than two million tons of coal being produced. The creation of the wetlands was achieved during the operations. 8 photos.

  11. Demographic Data - Census_County_TIGER00_IN: Indiana Counties Census Data 2000 (Derived from U.S. Census Bureau, 1:24,000 Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Census_County_TIGER00_IN contains locations for all Indiana counties and contains census data for each county. Data is from U.S. Department of Commerce, U.S. Census...

  12. Energy Efficient Buildings, Salt Lake County, Utah

    Energy Technology Data Exchange (ETDEWEB)

    Barnett, Kimberly

    2012-04-30

    Executive Summary Salt Lake County's Solar Photovoltaic Project - an unprecedented public/private partnership Salt Lake County is pleased to announce the completion of its unprecedented solar photovoltaic (PV) installation on the Calvin R. Rampton Salt Palace Convention Center. This 1.65 MW installation will be one the largest solar roof top installations in the country and will more than double the current installed solar capacity in the state of Utah. Construction is complete and the system will be operational in May 2012. The County has accomplished this project using a Power Purchase Agreement (PPA) financing model. In a PPA model a third-party solar developer will finance, develop, own, operate, and maintain the solar array. Salt Lake County will lease its roof, and purchase the power from this third-party under a long-term Power Purchase Agreement contract. In fact, this will be one of the first projects in the state of Utah to take advantage of the recent (March 2010) legislation which makes PPA models possible for projects of this type. In addition to utilizing a PPA, this solar project will employ public and private capital, Energy Efficiency and Conservation Block Grants (EECBG), and public/private subsidized bonds that are able to work together efficiently because of the recent stimulus bill. The project also makes use of recent changes to federal tax rules, and the recent re-awakening of private capital markets that make a significant public-private partnership possible. This is an extremely innovative project, and will mark the first time that all of these incentives (EECBG grants, Qualified Energy Conservation Bonds, New Markets tax credits, investment tax credits, public and private funds) have been packaged into one project. All of Salt Lake County's research documents and studies, agreements, and technical information is available to the public. In addition, the County has already shared a variety of information with the public through

  13. Morris County Improvement Authority, Morris County, New Jersey Renewable Energy Initiative

    Energy Technology Data Exchange (ETDEWEB)

    Bonanni, John [Chair, Morris County Improvement Authority

    2013-05-01

    The Morris County Improvement Authority (Authority), a public body corporate and politic of the State of New Jersey and created and controlled by the County, at the direction of the County and through the Program guaranteed by the County, financed 3.2 MW of solar projects (Solar Projects) at fifteen (15) sites for seven (7) local government units (Local Units) in and including the County. The Program uses a Power Purchase Agreement (PPA) structure, where the Solar Developer constructs, operates and maintains all of the Solar Projects, for the benefit of the Local Units and the Authority, for the maximum State law allowable PPA period of fifteen (15) years. Although all fifteen (15) sites were funded by the Authority, only the Mennen Arena site was considered for the purposes of the required local match funding for this grant. Specifically at the Mennen Arena site, the Authority financed 1.6 MW of solar panels. On October 18, 2013, the DOE Grant was drawn down following completion of the necessary application documents and final execution of an agreement memorializing the contemplated transaction by the Local Units, the County, The Authority and the solar developer. The proceeds of the DOE Grant were then applied to reduce the PPA price to all Local Units across the program and increase the savings from approximately 1/3 to almost half off the existing and forecasted utility pricing over the fifteen (15) year term, without adversely affecting all of the other benefits. With the application of the rate buy down, the price of electricity purchased under the PPA dropped from 10.9 to 7.7 cents/kWh. This made acquisition of renewable energy much more affordable for the Local Units, and it enhanced the success of the program, which will encourage other counties and local units to develop similar programs.

  14. Spermatogonial stem cells derived from infertile Wv/Wv mice self-renew in vitro and generate progeny following transplantation.

    Science.gov (United States)

    Kubota, Hiroshi; Avarbock, Mary R; Schmidt, Jonathan A; Brinster, Ralph L

    2009-08-01

    Loss-of-function mutation of the Kit gene causes a severe defect in spermatogenesis that results in infertility due to the inability of its cognate ligand, KIT ligand (KITL), to stimulate spermatogonial proliferation and differentiation. Although self-renewal of mouse spermatogonial stem cells (SSCs) depends on glial cell line-derived neurotrophic factor (GDNF), there is no unequivocal evidence that SSCs with a KIT deficiency can self-renew in vivo or in vitro. In the testis of W(v)/W(v) mice, in which the KIT tyrosine kinase activity is impaired, spermatogonia with SSC phenotype were identified. When W(v)/W(v) spermatogonia were cultured in an SSC culture system supplemented with GDNF in a 10% O(2) atmosphere, they formed clumps and proliferated continuously. An atmosphere of 10% O(2) was better than 21% O(2) to support SSC self-renewal. When W(v)/W(v) clump-forming germ cells were transplanted into testes of infertile wild-type busulfan-treated mice, they colonized the seminiferous tubules but did not differentiate. However, when transplanted into the testes of infertile W/W(v) pups, they restored spermatogenesis and produced spermatozoa, and progeny were generated using microinsemination. These results clearly show that SSCs exist in W(v)/W(v) testes and that they proliferate in vitro similar to wild-type SSCs, indicating that a functional KIT protein is not required for SSC self-renewal. Furthermore, the results indicate that a defect of KIT/KITL signaling of W(v)/W(v) SSCs does not prevent spermatogonial differentiation and spermatogenesis in some recipient strains.

  15. Water resources of Indiana County, Pennsylvania

    Science.gov (United States)

    Williams, D.R.; McElroy, T.A.

    1997-01-01

    Indiana County, west-central Pennsylvania, is a major producer of coal and natural gas. Water managers and residents are concerned about the effects of mining and natural gas exploration on the surface- and ground-water resources of the county. This study assesses the quality and quantity of water in Indiana County. Ground- and surface-water sources are used for public supplies that serve 61 percent of the total population of the county. The remaining 39 percent of the population live in rural areas and rely on cisterns and wells and springs that tap shallow aquifers. Most of the county is underlain by rocks of Middle to Upper Pennsylvanian age. From oldest to youngest, they are the Allegheny Group, the Glenshaw Formation, the Casselman Formation, and the Monongahela Group. Almost all the coals mined are in the Allegheny Group and the Monongahela Group. Ground water in Indiana County flows through fractures in the rock. The size and extent of the fractures, which are controlled by lithology, topography, and structure, determine the sustained yield of wells. Topography has a significant control over the yields of wells sited in the Allegheny Group. Properly sited wells in the Glenshaw Formation may have yields adequate for municipal, commercial, or industrial uses. The Casselman Formation yields adequate amounts of water for domestic use. Yield of the Monongahela Group is small, and the water may not be of suitable quality for most uses. Yields of hilltop wells may be marginal, but valley wells may yield sufficient amounts for large-volume users. Data on the other rock units are sparse to nonexistent. Few wells in the county yield more than 40 gallons per minute. Most of the wells that do are in valleys where alluvial deposits are extensive enough to be mapable. Short-term water-level fluctuations are variable from well to well. Seasonal water-level fluctuations are controlled by time of year and amount of precipitation. The quality of water from the Casselman

  16. A MULTIVARIATE ANALYSIS OF CROATIAN COUNTIES ENTREPRENEURSHIP

    Directory of Open Access Journals (Sweden)

    Elza Jurun

    2012-12-01

    Full Text Available In the focus of this paper is a multivariate analysis of Croatian Counties entrepreneurship. Complete data base available by official statistic institutions at national and regional level is used. Modern econometric methodology starting from a comparative analysis via multiple regression to multivariate cluster analysis is carried out as well as the analysis of successful or inefficacious entrepreneurship measured by indicators of efficiency, profitability and productivity. Time horizons of the comparative analysis are in 2004 and 2010. Accelerators of socio-economic development - number of entrepreneur investors, investment in fixed assets and current assets ratio in multiple regression model are analytically filtered between twenty-six independent variables as variables of the dominant influence on GDP per capita in 2010 as dependent variable. Results of multivariate cluster analysis of twentyone Croatian Counties are interpreted also in the sense of three Croatian NUTS 2 regions according to European nomenclature of regional territorial division of Croatia.

  17. Bexar County Parking Garage Photovoltaic Panels

    Energy Technology Data Exchange (ETDEWEB)

    Weir, Golda

    2012-01-23

    The main objective of the Bexar County Parking Garage Photovoltaic (PV) Panel project is to install a PV System that will promote the use of renewable energy. This project will also help sustain Bexar County ongoing greenhouse gas emissions reduction and energy efficiency goals. The scope of this project includes the installation of a 100-kW system on the top level of a new 236,285 square feet parking garage. The PV system consists of 420 solar panels that covers 7,200 square feet and is tied into the electric-grid. It provides electricity to the office area located within the garage. The estimated annual electricity production of the PV system is 147,000 kWh per year.

  18. County digital geologic mapping. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Hess, R.H.; Johnson, G.L.; dePolo, C.M.

    1995-12-31

    The purpose of this project is to create quality-county wide digital 1:250,000-scale geologic maps from existing published 1:250,000-scale Geologic and Mineral Resource Bulletins published by the Nevada Bureau of Mines and Geology (NBMG). An additional data set, based on current NBMG research, Major and Significant Quaternary and Suspected Quaternary Faults of Nevada, at 1:250,000 scale has also been included.

  19. Columbia County Habitat for Humanity Passive Townhomes

    Energy Technology Data Exchange (ETDEWEB)

    None, None

    2016-03-01

    Columbia County Habitat for Humanity (CCHH) (New York, Climate Zone 5A) built a pair of townhomes to Passive House Institute U.S. (PHIUS+ 2015) criteria to explore approaches for achieving Passive House performance (specifically with respect to exterior wall, space-conditioning, and ventilation strategies) within the labor and budget context inherent in a Habitat for Humanity project. CCHH’s goal is to eventually develop a cost-justified Passive House prototype design for future projects.

  20. Rogaland County Council and Universal Design.

    Science.gov (United States)

    Ask, Linda Nilsen

    2016-01-01

    Rogaland Council has adopted Universal Design as an overriding principle for all planning and development in the county. Private stakeholders and public agencies collaborated in the development of a successful County Plan for Universal Design that has been recognised as an example of good practice by Norway's public authorities. The plan provides guidelines for both state and municipal planning and operations in several policy areas from public transport to educational and cultural buildings to sports and recreation areas. One of the main contributions of the plan is an evaluation methodology built on the "TEK-10" national standard, and developed with the participation of authorities, experts, staff from municipalities and representatives of organisations for people with disabilities. This method is used to assess the accessibility and compliance with Universal Design principles of different destinations. This information is then published in the dedicated website www.tilgjengelighet.no which serves as an information channel for the general public about accessibility to various locations in the county. A community engagement method has been developed for including user groups in the design process for both new buildings and renovation projects. Representatives for user groups are chosen by the Council's Disability Committee, and these help to inform the planning and construction process. The plan also emphasises the development of knowledge and skills in Universal Design through educational programmes for secondary schools and colleges as well as training opportunities for councillors. This paper summarises the plan's rationale and the progress made until now.

  1. Sputtering Deposition of Sandwich-Structured V2O5/Metal (V, W)/V2O5 Multilayers for the Preparation of High-Performance Thermally Sensitive VO2 Thin Films with Selectivity of VO2 (B) and VO2 (M) Polymorph.

    Science.gov (United States)

    Liu, Hengwu; Wan, Dongyun; Ishaq, Ahmad; Chen, Lanli; Guo, Beibei; Shi, Siqi; Luo, Hongjie; Gao, Yanfeng

    2016-03-01

    For specific application to an uncooled infrared detector, VO2 thin films should have a series of characteristics including purposefully chosen polymorphs, accurate stoichiometry, phase stabilization, a high temperature-coefficient of resistance (TCR), and suitable square-resistance. This work reports controllable preparation of high-performance VO2 films via post annealing of a sandwich-structured V2O5/metal (V, W)/V2O5 multilayer precursor, which was deposited by RF magnetron sputtering. This sandwich structure can dynamically regulate oxygen contents and doping element levels in the films, enabling us to achieve accurate regulation of stoichiometry and polymorphs. The precursor films undergo a B to M phase transition depending on the quantity of the metal layers. At the thickness of the metal layer below a limitation, the resulting film after heat treatment was VO2 (B), and above the limitation, the product was VO2 (M). The optical modulation of the VO2 (M) in the near-infrared region can be tuned from 1.2 to 39.8% (ΔT2000 nm). TCR values can range from -1.89 to -4.29%/K and the square-resistances at room temperature (R0) from 69.68 to 12.63 kΩ. The simplicity in phase regulation of the present method and the superior optical and electrical properties of the films may allow its wide applications in thermo-opto-electro sensing devices.

  2. 76 FR 39357 - Revisions to the California State Implementation Plan, Imperial County Air Pollution Control...

    Science.gov (United States)

    2011-07-06

    ... Pollution Control District, Kern County Air Pollution Control District, and Ventura County Air Pollution... proposing to approve revisions to the Imperial County Air Pollution Control District (ICAPCD), Kern County Air Pollution Control District (KCAPCD), and Ventura County Air Pollution Control District...

  3. Bayesian Prediction of Mean Indoor Radon Concentrations for Minnesota Counties

    Energy Technology Data Exchange (ETDEWEB)

    Price, P.N.; Nero, A.V.; Gelman, A.

    1995-08-01

    Past efforts to identify areas having higher than average indoor radon concentrations by examining the statistical relationship between local mean concentrations and physical parameters such as the soil radium concentration have been hampered by the noise in local means caused by the small number of homes monitored in some or most areas, In the present paper, indoor radon data from a survey in Minnesota are analyzed in such a way as to minimize the effect of finite sample size within counties, in order to determine the true county-to-county variation of indoor radon concentrations in the state and the extent to which this variation is explained by the variation in surficial radium concentration among counties, The analysis uses hierarchical modeling, in which some parameters of interest (such as county geometric mean (GM) radon concentrations) are assumed to be drawn from a single population, for which the distributional parameters are estimated from the data. Extensions of this technique, known as a random effects regression and mixed effects regression, are used to determine the relationship between predictive variables and indoor radon concentrations; the results are used to refine the predictions of each county's radon levels, resulting in a great decrease in uncertainty. The true county-to-county variation of GM radon levels is found to be substantially less than the county-to-county variation of the observed GMs, much of which is due to the small sample size in each county. The variation in the logarithm of surficial radium content is shown to explain approximately 80% of the variation of the logarithm of GM radon concentration among counties. The influences of housing and measurement factors, such as whether the monitored home has a basement and whether the measurement was made in a basement, are also discussed. This approach offers a self-consistent statistical method for predicting the mean values of indoor radon concentrations or other geographically

  4. Assessing urban forest effects and values: Douglas County, Kansas

    Science.gov (United States)

    David J. Nowak; Allison R. Bodine; Robert E. Hoehn; Alexis Ellis; Kim Bomberger; Daniel E. Crane; Theodore A. Endreny; Thomas Taggert; Emily. Stephan

    2014-01-01

    An analysis of trees in Douglas County, Kansas, reveals that this area has about 14,164,000 trees with tree and shrub canopy that covers 25.2 percent of the county. The most common tree species are American elm, northern hackberry, eastern redcedar, Osage-orange, and honeylocust. Trees in Douglas County currently store about 1.7 million tons of carbon (6.4 million tons...

  5. Ground-water geology of Grayson County, Texas

    Science.gov (United States)

    Baker, E.T.

    1963-01-01

    Grayson County in north-central Texas is near the north edge of the West Gulf Coastal Plain. The county has an area of 927 square miles and had an estimated population of 79,500 in 1957. The major town is Sherman, which has an estimated population of 31,000. The northern two-thirds of the county is drained by tributaries of the Red River; the southern one-third is drained by tributaries of the Trinity River

  6. Breast Cancer Screening Interventions in Selected Counties Across US Regions

    Science.gov (United States)

    Austin, Shamly; Martin, Michelle Y; Levine, Robert S.; Pisu, Maria

    2010-01-01

    Objectives To determine the types of, and the populations targeted by interventions implemented to increase breast cancer screening rates in counties with large African American populations across different US regions. Methods A brief questionnaire was administered by e-mail to county representatives from 33 states from October 2008 through March 2009. Responses were obtained from 33% of 203 targeted counties. Results Most counties (>80%) reported interventions for African American women and for women with low income. Women were exposed to different kinds of interventions depending on where they lived. Most counties in the Northeast (93%), Southwest (82%) and Midwest (100%) implemented interventions that provided free or low cost mammograms. Counties in the Southeast (83%) were more likely to report education interventions. Counties from the Southwest reported using a variety of interventions to encourage breast cancer screening. Conclusion In this selected group of counties, different types of interventions were used to increase breast cancer screening in minority and disadvantaged women. Interventions implemented were similar to those shown in the literature to be effective in increasing screening rates in specific populations. Future research should examine the use of screening interventions in a larger sample of US counties. PMID:20820899

  7. Geology and ground-water resources of Winkler County, Texas

    Science.gov (United States)

    Garza, Sergio; Wesselman, John B.

    1963-01-01

    Winkler County, in west Texas, is adjacent to the southeast corner of New Mexico. Most of the county lies in the Pecos Valley; the remainder, in the northeastern part of the county, is part of the Llano Estacado, or the High Plains. Its principal industries are those related to the production and refining of oil, but ranching also is an important occupation. The county has an arid to semiarid climate, an area of about 887 square miles, and a population of about 12,000 in 1957.

  8. Forecasting gaming revenues in Clark County, Nevada: Issues and methods

    Energy Technology Data Exchange (ETDEWEB)

    Edwards, B.K.; Bando, A.

    1992-01-01

    This paper describes the Western Area Gaming and Economic Response Simulator (WAGERS), a forecasting model that emphasizes the role of the gaming industry in Clark County, Nevada. Is is designed to generate forecasts of gaming revenues in Clark County, whose regional economy is dominated by the gaming industry. The model is meant to forecast Clark County gaming revenues and identifies the exogenous variables that affect gaming revenues. It will provide baseline forecasts of Clark County gaming revenues in order to assess changes in gaming-related economic activity resulting from changes in regional economic activity and tourism.

  9. Forecasting gaming revenues in Clark County, Nevada: Issues and methods

    Energy Technology Data Exchange (ETDEWEB)

    Edwards, B.K.; Bando, A.

    1992-07-01

    This paper describes the Western Area Gaming and Economic Response Simulator (WAGERS), a forecasting model that emphasizes the role of the gaming industry in Clark County, Nevada. Is is designed to generate forecasts of gaming revenues in Clark County, whose regional economy is dominated by the gaming industry. The model is meant to forecast Clark County gaming revenues and identifies the exogenous variables that affect gaming revenues. It will provide baseline forecasts of Clark County gaming revenues in order to assess changes in gaming-related economic activity resulting from changes in regional economic activity and tourism.

  10. 75 FR 54419 - Environmental Impact Statement: Yellowstone County, MT

    Science.gov (United States)

    2010-09-07

    ... highway project in Yellowstone County, Montana. FOR FURTHER INFORMATION CONTACT: Brian Hasselbach, Right...: August 26, 2010. Brian Hasselbach, Right of Way & Environmental Programs Manager, FHWA. BILLING CODE 4910...

  11. 78 FR 28779 - Proposed Flood Elevation Determinations for Armstrong County, Pennsylvania (All Jurisdictions)

    Science.gov (United States)

    2013-05-16

    ... Armstrong County, Pennsylvania (All Jurisdictions) AGENCY: Federal Emergency Management Agency, DHS. ACTION... proposed rule concerning proposed flood elevation determinations for Armstrong County, Pennsylvania (All... sources in Armstrong County, Pennsylvania. Because FEMA has or ] will be issuing a Revised...

  12. 77 FR 23501 - Notice of Inventory Completion: Sheboygan County Historical Museum, Sheboygan, WI

    Science.gov (United States)

    2012-04-19

    ... National Park Service Notice of Inventory Completion: Sheboygan County Historical Museum, Sheboygan, WI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The Sheboygan County Historical Museum... human remains may contact the Sheboygan County Historical Museum. Disposition of the human remains...

  13. 76 FR 9640 - Prevailing Rate Systems: Santa Clara, CA, Tulsa County, OK, and Angelina County, TX

    Science.gov (United States)

    2011-02-22

    ..., ``Santa Clara,'' which was abolished as a NAF FWS wage area by a final rule (74 FR 9951) published on... MANAGEMENT 5 CFR Part 532 RIN 3206-AM22 Prevailing Rate Systems: Santa Clara, CA, Tulsa County, OK, and... of California by removing the entry for ``Santa Clara.'' 0 3. Appendix D to subpart B is amended...

  14. 75 FR 45557 - Prevailing Rate Systems; Definition of Tulsa County, OK, and Angelina County, TX, to...

    Science.gov (United States)

    2010-08-03

    ... Counties, TX. Santa Clara, CA On March 9, 2009, we published a final rule (74 FR 9951) that abolished the Santa Clara, CA, NAF FWS wage area. Therefore, ``Santa Clara'' should be removed under the State of... removing, under the State of California, ``Santa Clara,'' which was abolished as a NAF FWS wage area by...

  15. Water resources of Taos County, New Mexico

    Science.gov (United States)

    Garrabrant, Lynn A.

    1993-01-01

    In Taos County, ground water generally is unconfined and moves toward the Rio Grande or perennial streams. Water quality is good except in some areas where water has high values of specific conductance and hardness and contains high concentrations of dissolved solids and fluoride. Most wells are completed in alluvial sediments of Quaternary and Tertiary age in the Costilla Plains. A few wells are completed in basalt of the Taos Plateau and in alluvium of stream channels in the Sangre de Cristo Mountains. Depths to water in wells range from less than 1 to 1,080 feet below land surface. Well yields range from 1 to 3,000 gallons per minute. Water levels in wells in Sunshine Valley dropped 5 to 50 feet between 1955 and 1970. Ground-water irrigation has since declined and water levels have risen. Surface-water records show the county is a net producer of water. The average discharge gained in the Rio Grande as it flows through the county was 271,700 acre-feet per year for water years 1931-89. The highest mean monthly discharge occurs in May or June due to snowmelt runoff. Water quality ranges from good in upstream reaches to fair in lower reaches. Surface water was the source for 93 percent of water withdrawn in 1990, but ground water was used for all public supply, domestic, and industrial purposes. The largest water use is irrigation. About 28,500 acres were irrigated in 1990; alfalfa, native pasture, and planted pasture accounted for 91 percent of this acreage.

  16. ECONOMIC EVALUATION OF BEEKEEPING IN KARLOVACKA COUNTY

    Directory of Open Access Journals (Sweden)

    Janja Kezić

    2009-03-01

    Full Text Available Beekeeping in Croatia has a long tradition. There are favourable climate and vegetation conditions for development of beekeeping in Croatia. The number of registered beekeepers in Croatia is 3.404 with total of 313.978 beehives. Most of them are part–time beekeepers (53 %, hobby beekeepers comprise 37 % and professional beekeepers represent the smallest part with 11 % [3]. Beekeeping production is mainly organized on family farms [5]. Karlovačka county, in the cental part of Croatia, was chosen to analyse the economic attributes of beekeeping. The number of beekeepers in Karlovačka county in 2007. was 179 with total of 17.636 beehives [3]. Beekeepers were interviewed during the regular meeting of the Beekeepers Association. Forty–five beekeepers were interviewed which is a representative sample of beekeepers in Karlovacka county. Beekeepers were categorized as hobby beekeepers (<60, part–time (61–150 and professional beekeepers (>151 based on the number of beehives. There are 56 % of hobby beekeepers, 31 % of part–time beekeepers and 13 % are professional beekeepers. Fixed assets in beekeeping consist of equipment, beehives and vehicles used in beekeeping (trucks, trailers, personal car. Hobby beekeepers generate 5.031,55 € of total income per year with 52 average beehives per beekeeper. They achieve the highiest selling price an average of 3,20 € per kilo for their honey. Part–time beekeepers generate 9.875,74 € total income per year. The average number of beehives per part–time beekeeper is 110 and they achieve a selling price of 2,69 € per kilo. Professional beekeepers generate 26.681,36 € total income per year with an average number of 329 beehives per beekeeper. Their actual selling price, on average, is 2,07 €.

  17. Y microdeletions in the Istria county, Croatia

    Institute of Scientific and Technical Information of China (English)

    I. Medica; N. Gligorievska; M. Prenc; B. Peterlin

    2005-01-01

    Aim: To establish the frequency of Y chromosome microdeletions in an unselected group of infertile Croatian men.Methods: An unselected group of 105 patients (male partners of infertile couples), both with idiopathic and nonidiopathic infertility, consecutively referred to the outpatient infertility clinic, gynecology department, General Hospital Pula, Istria County, Croatia, was examined for the presence or absence of Y chromosome microdeletions by polymerase chain reaction analysis. Results: One of the 105 men (0.95%, 95% CI = 0.17-5.2%) was found to have a microdeletion. Conclusion: A low frequency of Y chromosome microdeletions was found in the group of unselected infertile Croatian men.

  18. CARPATHIANS ENDEMIC TAXA IN ARGEŞ COUNTY

    Directory of Open Access Journals (Sweden)

    Valeriu Alexiu

    2013-12-01

    Full Text Available Endemic plant species are the biogeographic elements why use the delimitation of biogeographical regions. Their presence explains, in the context of identifying phyto-historical factors, distribution of species and certain distribution patterns. Endemic areas, with pronounced as the basic unit of biogeography, indicates those particular geographic region, both in the growth areas and the evolutionary biological processes of speciation.In this study we proposed the following objectives: knowing the list Carpathian endemic species and endemic centers present in Argeş, also, areas of endemism in the Carpathians Mountains of the Argeş County.

  19. 75 FR 54220 - Environmental Impact Statement: Skowhegan and Madison, Somerset County, ME

    Science.gov (United States)

    2010-09-03

    ... Impact Statement: Skowhegan and Madison, Somerset County, ME AGENCY: Federal Highway Administration (FHWA..., Somerset County, Maine. Work on the EIS is being discontinued due to adverse economic and...

  20. Aerial Photography and Imagery, Ortho-Corrected - 2012 Digital Orthophotos - Orange County

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This metadata describes the digital orthoimagery covering Orange County, FL. This orthoimagery was collected under contract to the Orange County Property Appraiser...

  1. 77 FR 36996 - South Mississippi Electric Cooperative: Plant Ratcliff, Kemper County Integrated Gasification...

    Science.gov (United States)

    2012-06-20

    ... Cooperative: Plant Ratcliff, Kemper County Integrated Gasification Combined-Cycle (IGCC) Project AGENCY: Rural... Gasification Combined-Cycle (IGCC) Project currently under construction in Kemper County,...

  2. 75 FR 67806 - Environmental Impact Statement; Nueces County, TX

    Science.gov (United States)

    2010-11-03

    ... Federal Highway Administration Environmental Impact Statement; Nueces County, TX AGENCY: Federal Highway... proposed improvements to United States Highway 181/State Highway 286 (Crosstown Expressway), in Nueces... Nueces County, Texas. The project limits were defined as the limits of the schematic design. The...

  3. 27 CFR 9.44 - Solano County Green Valley.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Solano County Green Valley. 9.44 Section 9.44 Alcohol, Tobacco Products and Firearms ALCOHOL AND TOBACCO TAX AND TRADE BUREAU... Solano County Green Valley. (a) Name. The name of the viticultural area described in this section...

  4. Financial Statement Audit Report of Tri-County Community College.

    Science.gov (United States)

    Campbell, Ralph

    This report presents the results of the Tri-County Community College financial statement audit for the fiscal year ending on June 30, 1998. Tri-County Community College is a component of the State of North Carolina, thus the authority to audit is granted by Article 5A of G.S. 147. The accounts and operations of the institution were subject to…

  5. County Governments: "Forgotten" Subjects in Local Government Courses?

    Science.gov (United States)

    Benton, J. Edwin

    2007-01-01

    Revenue, expenditure, and employment data indicate that county governments--once taken for granted and playing "second fiddle" to municipalities--are playing an increasingly important role (and sometimes a role equal to that of municipalities) as vital service providers. Therefore, one would expect that county governments and municipal governments…

  6. Results of the Fall 1984 Survey of Napa County Residents.

    Science.gov (United States)

    Friedlander, Jack; Gocke, Sharon

    In November 1984, a random sample of Napa County residents was asked to complete a survey concerning the educational programs of Napa Valley College (NVC) to determine the extent to which NVC was meeting the county's educational needs. The survey was completed by 207 of the 400 community members in the sample. Study findings included the…

  7. Timber resources of Mendocino and Sonoma Counties, California.

    Science.gov (United States)

    Daniel D. Osward

    1972-01-01

    The findings of the first complete inventory of the timber resources of Mendocino and Sonoma Counties, California, indicate there is 19.1 billion board feet of sawtimber on 1,564,000 acres of unreserved commercial forest land in these two counties. Forest industries own about 34 percent of the commercial forest area and 37 percent of the timber volume; farm and...

  8. Measuring county resilience after the 2008 Wenchuan earthquake

    Directory of Open Access Journals (Sweden)

    X. Li

    2015-01-01

    Full Text Available The catastrophic earthquake in 2008 has caused serious damage to Wenchuan County and the surrounding area in China. In recent years, great attention has been paid to the resilience of the affected area. This study applied a new framework, the Resilience Inference Measurement (RIM model, to quantify and validate the community resilience of 105 counties in the affected area. The RIM model uses cluster analysis to classify counties into four resilience levels according to the exposure, damage, and recovery conditions, and then applies discriminant analysis to quantify the influence of socioeconomic characteristics on the county resilience. The analysis results show that counties located right at the epicenter had the lowest resilience, but counties immediately adjacent to the epicenter had the highest resilience capacities. Counties that were farther away from the epicenter returned to normal resiliency. The socioeconomic variables, including sex ratio, per capita GDP, percent of ethnic minority, and medical facilities, were identified as the most influential socio-economic characteristics on resilience. This study provides useful information to improve county resilience to earthquakes and support decision-making for sustainable development.

  9. Measuring county resilience after the 2008 Wenchuan earthquake

    Science.gov (United States)

    Li, X.; Lam, N.; Qiang, Y.; Li, K.; Yin, L.; Liu, S.; Zheng, W.

    2015-01-01

    The catastrophic earthquake in 2008 has caused serious damage to Wenchuan County and the surrounding area in China. In recent years, great attention has been paid to the resilience of the affected area. This study applied a new framework, the Resilience Inference Measurement (RIM) model, to quantify and validate the community resilience of 105 counties in the affected area. The RIM model uses cluster analysis to classify counties into four resilience levels according to the exposure, damage, and recovery conditions, and then applies discriminant analysis to quantify the influence of socioeconomic characteristics on the county resilience. The analysis results show that counties located right at the epicenter had the lowest resilience, but counties immediately adjacent to the epicenter had the highest resilience capacities. Counties that were farther away from the epicenter returned to normal resiliency. The socioeconomic variables, including sex ratio, per capita GDP, percent of ethnic minority, and medical facilities, were identified as the most influential socio-economic characteristics on resilience. This study provides useful information to improve county resilience to earthquakes and support decision-making for sustainable development.

  10. Measuring Research on County Agricultural Technological Innovation Ability Index

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    Taking the mechanism of technological construction guidance theory and mode which consists of "objective-construction-evaluation-construction-objective" as a starting point, on the basis of county agricultural technological innovation ability and its index definition, this paper researches the constructing system of county agricultural technological innovation ability. Firstly, on the basis of defining county agricultural technological innovation ability and the definition of index, according to the principle of purposefulness, scientificity, systematicness, integration of dynamic state and static state, integration of quantitativeness and qualitativeness and so on, we construct the multi-level measuring system of county agricultural technological innovation ability, including 4 first-level indices, namely technological innovation environment, technological innovation basis, technological innovation ability, and technological innovation efficiency; 15 second-level indices, such as technological policy, technological system mechanism, technological institution construction, ability of innovation subject, ability of industrial expansion, scale merit, technological contribution rate. Moreover, this system has 45 third-level indices. Then, by using unascertained mathematics method and AHM method, we establish the multi-level unascertained composite measuring model of county agricultural technological innovation ability index. Finally, by using the survey data of one county in Hebei Province, and the established county agricultural technological innovation ability index model, we get the county agricultural technological innovation ability index of 0.711 by calculation, that is, the innovation ability is at the intermediate level, namely the modern agricultural sub-stage. The empirical research proves the correctness and applicability of this model.

  11. 75 FR 3197 - Tri-County Advisory Committee Meeting

    Science.gov (United States)

    2010-01-20

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF AGRICULTURE Forest Service Tri-County Advisory Committee Meeting AGENCY: Forest Service, USDA. ACTION: Notice of... Beaverhead- Deerlodge National Forest's Tri-County Resource Advisory Committee will meet on Thursday February...

  12. 76 FR 13976 - Tri-County Advisory Committee Meeting

    Science.gov (United States)

    2011-03-15

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF AGRICULTURE Forest Service Tri-County Advisory Committee Meeting AGENCY: Forest Service, USDA. ACTION: Notice of... Beaverhead- Deerlodge National Forest's Tri-County Resource Advisory Committee will meet on Thursday April 7...

  13. 76 FR 29723 - Tri-County Advisory Committee Meeting

    Science.gov (United States)

    2011-05-23

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF AGRICULTURE Forest Service Tri-County Advisory Committee Meeting AGENCY: Forest Service, USDA. ACTION: Notice of... Beaverhead- Deerlodge National Forest's Tri-County Resource Advisory Committee will meet on Thursday June 16...

  14. Forest statistics for east Oklahoma counties - l993

    Science.gov (United States)

    Patrick E. Miller; Andrew J. Hartsell; Jack D. London

    1993-01-01

    This report contains the statistical tables and figures derived from data obtained during a recent inventory of east Oklahoma. The multiresource inventory included 18 counties and two survey regions. Data on forest acreage and timber volume involved a three-step procedure. First, estimate of forest acreage were made for each county using aerial photographs....

  15. 75 FR 71179 - Environmental Impact Statement: San Diego County, CA

    Science.gov (United States)

    2010-11-22

    ... Federal Highway Administration Environmental Impact Statement: San Diego County, CA AGENCY: Federal... Environmental Impact Statement (EIS) will be prepared ] for a proposed highway project in San Diego County... Community Center, 2258 Island Avenue, San Diego, California 92102. FOR FURTHER INFORMATION CONTACT: Kevin...

  16. Rights of Passage: The Montgomery County Transition Initiative.

    Science.gov (United States)

    O'Toole, Thomas J.; Meissner, Margit

    1988-01-01

    A Montgomery County (Maryland) task force was jointly developed by the county executive and the school superintendent to consider the transition from school to work for disabled students. Recommendations were made which resulted in development of a transition planning/coordinating function and a model for planning transition services. (JDD)

  17. 76 FR 13017 - Environmental Impact Statement: Los Angeles County, CA

    Science.gov (United States)

    2011-03-09

    ... Federal Highway Administration Environmental Impact Statement: Los Angeles County, CA AGENCY: Federal... Environmental Impact Statement will be prepared for a proposed highway project in Los Angeles County, California... Environmental Impact Statement on a proposal for the State Route 710 Gap North Closure project in Los Angeles...

  18. Decreased mortality of abdominal aortic aneurysms in a peripheral county

    DEFF Research Database (Denmark)

    Lindholt, Jes Sanddal; Henneberg, E W; Fasting, H

    1995-01-01

    To analyse the effect on the mortality associated with abdominal aortic aneurysms, due to the establishment of a decentralised vascular surgical unit in the county of Viborg.......To analyse the effect on the mortality associated with abdominal aortic aneurysms, due to the establishment of a decentralised vascular surgical unit in the county of Viborg....

  19. The Research on the Status of Small-and-Medium-Sized Enterprises of County in the Dominant Industry of Shaanxi County Economy

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    The thesis analyzes the role of small-and-medium-sized enterprises of county in promoting county economy:the small-and-medium-sized enterprises of county become the material basis of developing production and boosting county economy;the small-and-medium-sized enterprises of county become the main channel of increasing farmers’ job opportunities and realizing affluent life;the development of the small-and-medium-sized enterprises of county become the propeller of development of urbanization and county economy;the development of the small-and-medium-sized enterprises of county creates excellent conditions for the construction of modern agriculture.The thesis indicates that the low level of county industrialization is the principal factor impeding the county economy of Shaanxi Province and it also analyzes the opportunities and challenges when quickening the development of county industry.The countermeasures of developing small-and-medium-sized enterprises are put forward as follows:raise the awareness and determine the concept of using industry to make county powerful;build scientific planning and outline of county enterprise development to propel the innovation of developing and operating system of county enterprise;create beneficial conditions and reinforce the degree of county enterprise support entrepreneurship;take the park construction as vehicle and reinforce the degree of attracting investments from overseas;take the autonomous innovation as the impetus and develop the recycling economy;improve and optimize the service environment so as to create an excellent investment environment for enterprise.

  20. Project monitor. Final report. [Allegheny County, PA

    Energy Technology Data Exchange (ETDEWEB)

    Hammond, P.Y.; Beck, P.; Doctors, S.I.

    1979-04-27

    Results are reported of a study of consumers' energy attitudes and behavior. Household consumers and small business consumers (both retail and manufacturing) responded to the survey, but only the household results are reported. The study sought to understand energy-related behavior at the level where the various components of energy policy intersect. Attempts are made to attain this goal by determining the extent to which various properties of the individuals and firms are associated with various amounts of conservation. A representative sample of the adult population in Allegheny County, Pennsylvania was interviewed. Part I introduces the measures of household conservation to be used in the survey. Part II analyzes each of the types of energy conservation - general, winterization, heating, cooling, appliance, transportation, and electricity reductions - and relates them to demographic, situation, attitudinal, and perceptual variables in the household sample. Part III deals with the impacts of Project Pacesetter and the United Mine Workers' strike against the coal operators - particularly, the impact of the coal strike on household residents of Allegheny County. Part IV summarizes the findings and uses them for recommendations regarding energy conservation policy. Additional data are presented in 4 appendices. (MCW)

  1. Hydrogeologic framework of LaSalle County, Illinois

    Science.gov (United States)

    Kay, Robert T.; Bailey, Clinton R.

    2016-10-28

    Water-supply needs in LaSalle County in northern Illinois are met by surface water and groundwater. Water-supply needs are expected to increase to serve future residential and mining uses. Available information on water use, geology, surface-water and groundwater hydrology, and water quality provides a hydrogeologic framework for LaSalle County that can be used to help plan the future use of the water resources.The Illinois, Fox, and Vermilion Rivers are the primary surface-water bodies in LaSalle County. These and other surface-water bodies are used for wastewater disposal in the county. The Vermilion River is used as a drinking-water supply in the southern part of the county. Water from the Illinois and Fox Rivers also is used for the generation of electric power.Glacial drift aquifers capable of yielding sufficient water for public supply are expected to be present in the Illinois River Valley in the western part of the county, the Troy Bedrock Valley in the northwestern part of the county, and in the Ticona Bedrock Valley in the south-central part of the county. Glacial drift aquifers capable of yielding sufficient water for residential supply are present in most of the county, although well yield often needs to be improved by using large-diameter wells. Arsenic concentrations above health-based standards have been detected in some wells in this aquifer. These aquifers are a viable source for additional water supply in some areas, but would require further characterization prior to full development.Shallow bedrock deposits comprising the sandstone units of the Ancell Group, the Prairie du Chien Group, dolomite of the Galena and Platteville Groups, and Silurian-aged dolomite are utilized for water supply where these units are at or near the bedrock surface or where overlain by Pennsylvanian-aged deposits. The availability of water from the shallow bedrock deposits depends primarily on the geologic unit analyzed. All these deposits can yield sufficient water for

  2. Open Defecation in Newly Created Kenyan Counties: A Situational Analysis.

    Science.gov (United States)

    Njuguna, John; Muruka, Charles

    2017-01-01

    An estimated 5.6 million Kenyans defecate in the open. This exposes them to sanitation related diseases. This study analysed open defecation trends among the 47 counties in Kenya, newly created in 2013. The study used four data sets on open defecation, unimproved water supply coverage, poverty levels, and population density. Mean open defecation rate across the 47 counties was 23.5% and the median rate 6.9%. The lowest rate was 0.1% and the highest 88.4%. Fifteen counties had open defecation rates of 40% and above. Another 21 counties had open defecation rates of less than 5%. Poverty was the most significant predictor accounting for 68.4% of the variance in open defecation after controlling for unimproved water supply and population density. Some counties have unacceptably high open defecation rates. Alleviating poverty may reduce open defecation in Kenya.

  3. County and Parish Boundaries, Iredell County jurisdictional boundary, Published in 2009, 1:2400 (1in=200ft) scale, Iredell County GIS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Published Reports/Deeds information as of 2009....

  4. County and Parish Boundaries, Lafayette County Boundary, Published in 1997, 1:24000 (1in=2000ft) scale, Lafayette County Land Records.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Published Reports/Deeds information as of 1997....

  5. County and Parish Boundaries, Boundary of Cochise County, Published in 1995, 1:600 (1in=50ft) scale, Cochise County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:600 (1in=50ft) scale, was produced all or in part from Other information as of 1995. It is described as...

  6. County and Parish Boundaries, Effingham County Boundary, Published in 2010, 1:2400 (1in=200ft) scale, Effingham County Board Of Commissioners.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Published Reports/Deeds information as of 2010. It...

  7. County and Parish Boundaries, Buffer of county, Published in 2008, 1:24000 (1in=2000ft) scale, Box Elder County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2008. It is described as...

  8. County and Parish Boundaries, County boundary is entered per metes & bounds (parcel mapping), Published in 2013, 1:1200 (1in=100ft) scale, Brown County, WI.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Published Reports/Deeds information as of 2013....

  9. County and Parish Boundaries, County boundaries for the counties we serve., Published in 2000, 1:100000 (1in=8333ft) scale, Prairie Land Electric COOP, Inc..

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:100000 (1in=8333ft) scale, was produced all or in part from Road Centerline Files information as of 2000....

  10. IMPACT of City-County Consolidation of the Rural-Urban Fringe: Nashville-Davidson County, Tennessee.

    Science.gov (United States)

    Economic Research Service (USDA), Washington, DC.

    This report analyzed the effect of consolidation of city and county governments in Nashville, Tenn., on local public finance and the availability of public services in the rural areas of the county. Comparisons were made between governmental costs and functions before and 3 years after the metropolitan district was formed. Some 299 voters in the…

  11. The Imposition and Effects of Restitution in Four Pennsylvania Counties: Effects of Size of County and Specialized Collection Units

    Science.gov (United States)

    Ruback, R. Barry; Shaffer, Jennifer N.; Logue, Melissa A.

    2004-01-01

    This study examined court records, probation records, and collection office records in four counties in Pennsylvania, which were chosen because they varied along two dimensions: (a) population size and (b) the use of specialized units for the collection of monetary sanctions. From each county, restitution-eligible cases were sampled from both 1994…

  12. Hurricane exposure and county fetal death rates, utilization of a county environmental quality index for confounding control.

    Science.gov (United States)

    The effects of natural disasters on public health are a rising concern, with increasing severity of disaster events. Many disaster studies utilize county-level analysis, however most do not control for county level environmental factors. Hurricane exposure during pregnancy could ...

  13. Hurricane exposure and county fetal death rates, utilization of a county environmental quality index for confounding control.

    Science.gov (United States)

    The effects of natural disasters on public health are a rising concern, with increasing severity of disaster events. Many disaster studies utilize county-level analysis, however most do not control for county level environmental factors. Hurricane exposure during pregnancy could ...

  14. Geochemical and Petrologic Constraints on the Source of Eocene Volcanism at Mole Hill, Rockingham County, VA

    Science.gov (United States)

    Johnson, E. A.; Beard, J. S.

    2010-12-01

    Mole Hill is an Eocene (48 Ma) basaltic volcanic neck located west of Harrisonburg, VA, and provides a unique opportunity to probe the mantle beneath the Shenandoah Valley. It lies on the northeastern edge of a swarm of alkaline-series volcanic plugs, dikes, and diatremes extending through Rockingham and Highland Counties, VA, and Pendleton County, WV. The Eocene volcanics are thought to have exploited extensive basement fracture systems originally formed during the Alleghenian Orogeny and subsequent rifting. The Eocene volcanism may have been triggered by reactivation of faults due to global shifts in relative plate motions (Southworth 1993, USGS Bull, B1839-I) but the source material and magmatic processes for the Eocene volcanism are largely unknown. Compositional and texture analyses of xenocrystic and groundmass clinopyroxene, olivine, and spinel were completed either at Virginia Tech on the Cameca SX-50 electron microprobe in the Dept of Geological Sciences, or in the Dept of Mineral Sciences, Smithsonian Institution, Washington, D.C using the JEOL JXA-8900R WD/EDS microanalyzer or the FEI NOVA nanoSEM600 FEG Variable Pressure Scanning Electron Microscope. Xenocrysts up to 2cm in diameter are distributed throughout the volcanic neck, with clinopyroxene >>spinel>olivine. The clinopyroxene and olivine xenocrysts show undulatory extinction in cross-polarized light and are found as individual crystals or as aggregates. Clinopyroxene xenocryst cores are high-Al, low-Cr augite ( ˜Wo44En46Fs10) with Mg# 78.5-85.9. The clinopyroxene xenocrysts have compositionally zoned rims 100-250 μm-wide containing abundant plagioclase inclusions and sparse melt inclusions in a sieve texture. The outer edges of xenocrysts approach the compositions of groundmass and microphenocryst clinopyroxenes ( ˜Wo47En38Fs15; Mg# 67.9-74.5). Olivine xenocrysts contain sulfide inclusions and Cr-rich spinel and have Mg-rich ( ˜Fo86-90) cores with more Fe- and Ca-rich rims (Fo70

  15. The reversal of fortunes: trends in county mortality and cross-county mortality disparities in the United States.

    Directory of Open Access Journals (Sweden)

    Majid Ezzati

    2008-04-01

    Full Text Available Counties are the smallest unit for which mortality data are routinely available, allowing consistent and comparable long-term analysis of trends in health disparities. Average life expectancy has steadily increased in the United States but there is limited information on long-term mortality trends in the US counties This study aimed to investigate trends in county mortality and cross-county mortality disparities, including the contributions of specific diseases to county level mortality trends.We used mortality statistics (from the National Center for Health Statistics [NCHS] and population (from the US Census to estimate sex-specific life expectancy for US counties for every year between 1961 and 1999. Data for analyses in subsequent years were not provided to us by the NCHS. We calculated different metrics of cross-county mortality disparity, and also grouped counties on the basis of whether their mortality changed favorably or unfavorably relative to the national average. We estimated the probability of death from specific diseases for counties with above- or below-average mortality performance. We simulated the effect of cross-county migration on each county's life expectancy using a time-based simulation model. Between 1961 and 1999, the standard deviation (SD of life expectancy across US counties was at its lowest in 1983, at 1.9 and 1.4 y for men and women, respectively. Cross-county life expectancy SD increased to 2.3 and 1.7 y in 1999. Between 1961 and 1983 no counties had a statistically significant increase in mortality; the major cause of mortality decline for both sexes was reduction in cardiovascular mortality. From 1983 to 1999, life expectancy declined significantly in 11 counties for men (by 1.3 y and in 180 counties for women (by 1.3 y; another 48 (men and 783 (women counties had nonsignificant life expectancy decline. Life expectancy decline in both sexes was caused by increased mortality from lung cancer, chronic obstructive

  16. Instantaneous network RTK in Orange County, California

    Science.gov (United States)

    Bock, Y.

    2003-04-01

    The Orange County Real Time GPS Network (OCRTN) is an upgrade of a sub-network of SCIGN sites in southern California to low latency (1-2 sec), high-rate (1 Hz) data streaming, analysis, and dissemination. The project is a collaborative effort of the California Spatial Reference Center (CSRC) and the Orange County Public Resource and Facilities Division, with partners from the geophysical community, local and state government, and the private sector. Currently, ten sites are streaming 1 Hz raw data (Ashtech binary MBEN format) by means of dedicated, point-to-point radio modems to a network hub that translates the asynchronous serial data to TCP/IP and onto a PC workstation residing on a local area network. Software residing on the PC allows multiple clients to access the raw data simultaneously though TCP/IP. One of the clients is a Geodetics RTD server that receives and archives (1) the raw 1 Hz network data, (2) estimates of instantaneous positions and zenith tropospheric delays for quality control and detection of ground motion, and (3) RINEX data to decimated to 30 seconds. Data recovery is typically 99-100%. The server also produces 1 Hz RTCM data (messages 18, 19, 3 and 22) that are available by means of TCP/IP to RTK clients with wireless Internet modems. Coverage is excellent throughout the county. The server supports standard RTK users and is compatible with existing GPS instrumentation. Typical latency is 1-2 s, with initialization times of several seconds to minutes OCRTN site spacing is 10-15 km. In addition, the server supports “smart clients” who can retrieve data from the closest n sites (typically 3) and obtain an instantaneous network RTK position with 1-2 s latency. This mode currently requires a PDA running the RTD client software, and a wireless card. Since there is no initialization and re-initialization required this approach is well suited to support high-precision (centimeter-level) dynamic applications such as intelligent transportation

  17. Hydrogeologic characterization of the Brazos River Alluvium Aquifer, Bosque County to Fort Bend County, Texas

    Science.gov (United States)

    Shah, Sachin D.; Houston, Natalie A.; Braun, Christopher L.

    2007-01-01

    Introduction The Brazos River alluvium aquifer underlies the Brazos River in Texas from Bosque County to Fort Bend County. The aquifer, one of 21 minor aquifers in the State, supplies water for irrigation, domestic, stock, and commercial use. The Brazos River alluvium aquifer likely will become more important in the future as demand for water increases statewide. A thorough understanding of the hydrogeology of the alluvium aquifer will be the foundation for future studies in the area. During October 2006-April 2007, the U.S. Geological Survey, in cooperation with the Texas Water Development Board, conducted a study to delineate the altitude of the top, altitude of the base, and thickness of the Brazos River alluvium aquifer, and to compile and summarize available hydraulic property (specific capacity, transmissivity, and hydraulic conductivity) data. A digital elevation model was used as the altitude of the top of the aquifer. The altitude of the base of the aquifer was generated using data from wells. The study area encompasses the Brazos River alluvium aquifer in parts of Bosque, Hill, McLennan, Falls, Robertson, Milam, Brazos, Burleson, Grimes, Washington, Waller, Austin, and Fort Bend Counties and a 1.5-mile-wide lateral buffer adjacent to the aquifer. The results of this study will be used by the Texas Water Development Board for input into a ground-water availability model.

  18. Uranium occurrences in Bucks County, Pennsylvania, and Hunterdon County, New Jersey

    Science.gov (United States)

    McKeown, F.A.; Choquette, P.W.; Baker, R.C.

    1954-01-01

    Eleven occurrences of uraniferous argillite in the Lockatong lithofacies and five occurrences of uraniferous sandstone in the Stockton lithofacies, both of Triassic age, are known in Buck County, Pa. and Hunterdon County, N.J. Most of the occurrences were discovered by the Geological Survey, though prospectors found several. The Delaware quarry, Bucks County, Pa., was mapped and sampled in detail because the best exposed and most uraniferous argillite known crops out there. Sketches of two sandstone occurrences were made. Two stratigraphic sections of part of the Stockton formation were made in an unsuccessful effort to find key beds to which the uranium occurrences might be referred. The argillite occurrences contain as much as 0.034 percent uranium but commonly contain only about 0.010 percent uranium. They are known to extend for several hundred feet along the strike and may possibly extend several thousand feet, but less than a mile. They range from about 1 to 6 feet in thickness. The sandstone occurrences are characterized by the presence of pyrite or limonite and the alteration of feldspar to clay. The most uraniferous parts of the sandstone contain mud pebbles or lenses. The sandstone with mud pellets generally contain from 0.01 to 0.03 percent uranium, but selected parts of the pellets contain as much as 0.29 percent uranium. The known occurrences are small, about 1 to 2 feet thick and 20 to 30 feet long. None of the argillite or sandstone occurrences are now of economic importance.

  19. Oil heritage district : Lambton County Ontario

    Energy Technology Data Exchange (ETDEWEB)

    Shearer, W. [Wendy Shearer Landscape Architect, Kitchener, ON (Canada)

    2009-07-01

    This paper discussed a project conducted to assess the cultural heritage values of oil field equipment in Lambton County, Ontario. Oil was discovered in the region in 1858, after which a boom and bust cycle of exploration created a large rural-industrial landscape. The region now contains a unique collection of historic oil equipment. The region's industrial footprint is interwoven with village settlements, agricultural settlements, and a railway and road network linking the region to remote refineries. Oil wells in the region still operate using a jerker line system developed in the early twentieth century. The operational oil wells are subject to fluctuating oil prices and environmental protection requirements. The project presents a rare opportunity to place industrial heritage conservation directly in the hands of business operators and regulators, while also functioning as part of a living community. 2 figs.

  20. RESEARCHES REGARDING THE DEVELOPMENT STRATEGY OF TIMIŞ COUNTY

    Directory of Open Access Journals (Sweden)

    Camelia MĂNESCU

    2014-04-01

    Full Text Available In this paper, the authors conducted a study on the economic development of Timiş County, as well as its SWOT analysis. The paper concludes with the Development Strategy of Timiş County, the main conclusions drawn from the conducted researches and bibliographical references. Within the paper, there are presented theoretical aspects related to rural area concept, followed by the physical- geographical characteristics of Timiş County. Throughout the paper, there are analyzed the existing demographic aspects found in Timiş County. The end part of the paper represents a translation in statistical terms of the main economic phenomena which are recorded in Timiş County. There are references made towards agriculture, forestry, industry, services, trade, tourism, as economic activities carried out in Timis County. Following these researches, at the end part of the paper, the authors have compiled a SWOT analysis of Timiş County, proposing in the same time a strategy for its development.

  1. Water resources and effects of development in Hernando County, Florida

    Science.gov (United States)

    Fretwell, J.D.

    1985-01-01

    In spite of the hill and valley terrain in the Brooksville Ridge area of Hernando County, Florida, little surface drainage occurs within the county. Recharge to the Floridan aquifer system occurs as infiltration of precipitation within the county or as ground-water flow from Sumter County to the east and Pasco County to the south. Discharge is principally to the Gulf of Mexico, but some ground water flows north into Citrus County before it reaches the Gulf. The Floridan aquifer system is generally unconfined. Water quality is generally good except near the coast where high chloride occurs. Water from the Floridan aquifer system accounted for 87 percent of the water used for irrigation, industry, and rural and public supply in 1982. Sixty-seven percent of this water was used by industry. Rock mining, the major industry, used 99 percent of the industrial water. The anticipated increase in population in the county between 1982 and 2000 will increase demand for water primarily from public water-supply systems. This higher demand will cause about a 1 percent reduction in flow from Weeki Wachee Springs, but little change in lake levels or saltwater intrusion will occur if the projected additional supplies are developed far enough inland from the coast. (USGS)

  2. Molecules based on M(v) (M=Mo, W) and Ni(II) ions: a new class of trigonal bipyramidal cluster and confirmation of SMM behavior for the pentadecanuclear molecule {NiII[NiII(tmphen)(MeOH)]6[Ni(H2O)3]2[micro-CN]30[WV(CN)3]6}.

    Science.gov (United States)

    Hilfiger, Matthew G; Zhao, Hanhua; Prosvirin, Andrey; Wernsdorfer, Wolfgang; Dunbar, Kim R

    2009-07-14

    The preparation, single crystal X-ray crystallography, and magnetic properties are reported for four new clusters based on [M'V(CN)8]3- octacyanometallates (M'=Mo, W). Reactions of [M'V(CN)8]3- with mononuclear NiII ions in the presence of the tmphen blocking ligand (tmphen=3,4,7,8-tetramethyl-1,10-phenanthroline) in a 2:3:6 ratio, respectively, lead to the formation of the trigonal bipyramidal clusters [NiII(tmphen)2]3[M'V(CN)8]2. Analogous reactions with the same starting materials performed in a 2:3:2 ratio, respectively, produce pentadecanuclear clusters of the type {NiII[NiII(tmphen)(MeOH)]6[Ni(H2O)3]2[micro-CN]30[WV(CN)3]6}. The W2Ni3 (1) and Mo2Ni3(2) pentanuclear clusters and the W6Ni9 (3) and Mo6Ni9 (4) pentadecanuclear molecules are isostructural to each other and crystallize in the space groups P2(1)/c and R3 respectively. Magnetic measurements indicate that the ground states for the trigonal bipyamidal clusters are S=4 as a consequence of ferromagnetic coupling with JW-Ni=9.5 cm(-1), JMo-Ni=10 cm(-1). The pentadecanuclear clusters exhibit ferromagnetic coupling as well, which leads to S=12 ground states (JW-Ni=12 cm(-1), JMo-Ni=12.2 cm(-1)). Reduced magnetization studies on the W-Ni analogues support the conclusion that they exhibit a negative axial anisotropy term; the fits give D values of -0.24 cm(-1) for the W2Ni3 cluster and D=-0.04 cm(-1)for the W6Ni9 cluster. AC susceptibility measurements indicate the beginning of an out-of-phase signal for the W2Ni3 and the W6Ni9 compounds, but detailed low temperature studies on small crystals by the microSQUID technique indicate that only the pentadecanuclear cluster exhibits hysteresis in accord with SMM behavior. Neither Mo cluster reveals any evidence for slow paramagnetic relaxation at low temperatures.

  3. High-spin molecules: synthesis, X-ray characterization, and magnetic behavior of two new cyano-bridged Ni(II)(9)Mo(V)(6) and Ni(II)(9)W(V)(6) clusters with a S = 12 ground state.

    Science.gov (United States)

    Bonadio, Federica; Gross, Mathias; Stoeckli-Evans, Helen; Decurtins, Silvio

    2002-11-04

    The preparations, X-ray structures, and magnetic characterizations are presented for two new pentadecanuclear cluster compounds: [Ni(II)(Ni(II)(MeOH)(3))(8)(mu-CN)(30)(M(V)(CN)(3))(6)].xMeOH.yH(2)O (M(V) = Mo(V) (1) with x = 17, y = 1; M(V) = W(V) (2) with x = 15, y = 0). Both compounds crystallize in the monoclinic space group C2/c, with cell dimensions of a = 28.4957(18) A, b = 19.2583(10) A, c = 32.4279(17) A, beta = 113.155(6) degrees, and Z = 4 for 1 and a = 28.5278(16) A, b = 19.2008(18) A, c = 32.4072(17) A, beta = 113.727(6) degrees, and Z = 4 for 2. The structures of 1 and 2 consist of neutral cluster complexes comprising 15 metal ions, 9 Ni(II) and 6 M(V), all linked by mu-cyano ligands. Magnetic susceptibilities and magnetization measurements of compounds 1 and 2 in the crystalline and dissolved state indicate that these clusters have a S = 12 ground state, originating from intracluster ferromagnetic exchange interactions between the mu-cyano-bridged metal ions of the type Ni(II)-NC-M(V). Indeed, these data show clearly that the cluster molecules stay intact in solution. Ac magnetic susceptibility measurements reveal that the cluster compounds exhibit magnetic susceptibility relaxation phenomena at low temperatures since, with nonzero dc fields, chi"(M) has a nonzero value that is frequency dependent. However, there appears no out-of-phase (chi"(M)) signal in zero dc field down to 1.8 K, which excludes the expected signature for a single molecule magnet. This finding is confirmed with the small uniaxial magnetic anisotropy value for D of 0.015 cm(-1), deduced from the high-field, high-frequency EPR measurement, which distinctly reveals a positive sign in D. Obviously, the overall magnetic anisotropy of the compounds is too low, and this may be a consequence of a small single ion magnetic anisotropy combined with the highly symmetric arrangement of the metal ions in the cluster molecule.

  4. Hydraulic Evaluation of Marmet Lock Filling and Emptying System, Kanawha River, West Virginia

    Science.gov (United States)

    2015-04-01

    Army Engineer Waterways Experiment Station. Headquarters, U.S. Army Corps of Engineers. 1975. Hydraulic design of lock culvert valves . Engineer Manual ...operations with various valve operations was computed. The numerical model results indicate that the hydraulic conditions are not significantly...2 1.3 Vertical-Lift Valves

  5. Developing a Marketing Mind-Set: Training and Mentoring for County Extension Employees

    Science.gov (United States)

    Sneed, Christopher T.; Elizer, Amy Hastings; Hastings, Shirley; Barry, Michael

    2016-01-01

    Marketing the county Extension program is a critical responsibility of the entire county staff. This article describes a unique peer-to-peer training and mentoring program developed to assist county Extension staff in improving marketing skills and successfully developing and implementing a county Extension marketing plan. Data demonstrating…

  6. 7 CFR 7.18 - Terms of office of county and community members.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 1 2010-01-01 2010-01-01 false Terms of office of county and community members. 7.18... STABILIZATION AND CONSERVATION STATE, COUNTY AND COMMUNITY COMMITTEES § 7.18 Terms of office of county and community members. The term of office of county and community committee members and alternates to...

  7. County Government Finances in 1974-75. Government Finances/GF75 No. 8.

    Science.gov (United States)

    Bureau of the Census (DOC), Suitland, MD.

    Revenue sources and expenditures of county governments itemized in this report include national totals on county finances, county financial amounts, and percent distribution. Other subjects covered include expenditure by character and object, indebtedness and debt transactions, cash and security holdings, county utilities and liquor stores,…

  8. Zoning Districts, Zoning for each area provided to us from all cities and Johnson County. The only city in Johnson County not included is Gardner at this time., Published in 2007, Johnson County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Zoning Districts dataset current as of 2007. Zoning for each area provided to us from all cities and Johnson County. The only city in Johnson County not included is...

  9. Public Lands, Other, This would include all counties owned by Chippewa County that are not Forest or Park. Most lands obtained through tax deed., Published in 2013, Not Applicable scale, Chippewa County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Public Lands, Other dataset current as of 2013. This would include all counties owned by Chippewa County that are not Forest or Park. Most lands obtained through tax...

  10. 911 Call Center (PSAP) Service Areas, Important layer used in County Dispatch for routing first responders. Created using the County USPLS and documented reports on correct boundaries, Published in 2012, Not Applicable scale, Chippewa County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — 911 Call Center (PSAP) Service Areas dataset current as of 2012. Important layer used in County Dispatch for routing first responders. Created using the County USPLS...

  11. INTERRACTIVE AND GRAPHICAL MANAGEMENT SYSTEM AT THE MARAMURES COUNTY COUNCIL

    Directory of Open Access Journals (Sweden)

    Macelaru Mara

    2010-12-01

    Full Text Available The Maramures County Council (Romania implements a computerized graphic system for assisted public management. A performing public administration is a key issue for the present local and regional development. Having an interactive graphic interface based on the county geographical map, the SIGMA2 system act as a scoreboard for the management of the County Council, as well as an integrator of different software modules that consolidate local administration data. Among its results are the automatization of different financial operations and the provision of informational support for managerial analyses and decision making.

  12. A forecasting model of gaming revenues in Clark County, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    Edwards, B.; Bando, A.; Bassett, G.; Rosen, A. [Argonne National Lab., IL (United States); Carlson, J.; Meenan, C. [Science Applications International Corp., Las Vegas, NV (United States)

    1992-04-01

    This paper describes the Western Area Gaming and Economic Response Simulator (WAGERS), a forecasting model that emphasizes the role of the gaming industry in Clark County, Nevada. It is designed to generate forecasts of gaming revenues in Clark County, whose regional economy is dominated by the gaming industry, an identify the exogenous variables that affect gaming revenues. This model will provide baseline forecasts of Clark County gaming revenues in order to assess changes in gaming related economic activity resulting from future events like the siting of a permanent high-level radioactive waste repository at Yucca Mountain.

  13. 75 FR 21368 - Designation of Five Counties as High Intensity Drug Trafficking Areas

    Science.gov (United States)

    2010-04-23

    ...The Director of the Office of National Drug Control Policy designated five additional counties as High Drug Trafficking Areas pursuant to 21 U.S.C. 1706. The new counties are (1) Rock and Brown Counties in Wisconsin as additions to the Milwaukee HIDTA, (2) Lane County and Warm Springs Indian Reservation in Oregon as additions to the Oregon HIDTA, and (3) Travis County, Texas as an addition to the Southwest Border HIDTA, South Texas Region.

  14. Parcels and Land Ownership, Published in 2011, Smith County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Smith County, TN. This metadata was auto-generated through the Ramona GIS...

  15. EPA Recognizes Charleston County School District for Reducing Food Waste

    Science.gov (United States)

    ATLANTA - Today, U.S. Environmental Protection Agency (EPA) recognized the Charleston County School District for the District's achievements in reducing food waste. The District cultivated one of the state's first student-driven commercial compostin

  16. Parcels and Land Ownership, Published in 2011, Kenosha County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Kenosha County, WI. This metadata was auto-generated through the Ramona GIS...

  17. 1:100,000-scale Counties of the United States

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This is a coverage of the county boundaries of the conterminous United States (AK, HI and Puerto Rico are available separately). The lines were extracted from U.S....

  18. Parcels and Land Ownership, Published in 2011, Loving County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Lucas County, IA. This metadata was auto-generated through the Ramona GIS...

  19. Parcels and Land Ownership, Published in 2011, Loving County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Lowndes County, MS. This metadata was auto-generated through the Ramona...

  20. Parcels and Land Ownership, Published in 2011, Loving County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Loving County, TX. This metadata was auto-generated through the Ramona GIS...