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Sample records for brownsville cameron county

  1. Environmental Assessment for Central Power and Light Company`s proposed Military Highway-CFE tie 138/69-kV transmission line project Brownsville, Cameron County, Texas

    Energy Technology Data Exchange (ETDEWEB)

    1992-04-01

    Central Power and Light Company (CPL) intends to upgrade its existing transmission line ties with the Commision Federal de Electricidad (CFE) system in Mexico. CPL currently has a single 69-kilovolt (kV) transmission line in the Brownsville area which connects CPL`s system with the system of CFE. This existing line runs between the Brownsville Switching Station, located on Laredo Road in Brownsville, Cameron County, Texas, and an existing CFE 69-kV line at the Rusteberg Bend of the Rio Grande in Cameron County. Under current conditions of need, the existing 69-kV line does not possess sufficient capability to engage in appropriate power exchanges. Therefore, CPL is proposing to build a new line to link up with CFE. This proposed line would be a double-circuit line, which would (1) continue (on a slightly relocated route) the existing 69-kV tie from CPL`s Brownsville Switching Station to CFE`s facilities, and (2) add a 138-kV tie from the Military Highway Substation, located on Military Highway (US Highway 281), to CFE`s facilities. The proposed 138/69-kV line, which will be constructed and operated by CPL, will be built primarily on steel single-pole structures within an average 60-foot (ft) wide right-of-way (ROW). It will be approximately 6900--9200 ft (1.3--1.7 miles) in length, depending on the alternative route constructed.

  2. 49 CFR 372.237 - Cameron, Hidalgo, Starr, and Willacy Counties, TX.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 5 2010-10-01 2010-10-01 false Cameron, Hidalgo, Starr, and Willacy Counties, TX... REGULATIONS EXEMPTIONS, COMMERCIAL ZONES, AND TERMINAL AREAS Commercial Zones § 372.237 Cameron, Hidalgo, Starr, and Willacy Counties, TX. (a) Transportation within a zone comprised of Cameron, Hidalgo, Starr...

  3. Estimating coastal wetland gain and losses in Galveston County and Cameron County, Texas, USA.

    Science.gov (United States)

    Entwistle, Clare; Mora, Miguel A; Knight, Robert

    2018-01-01

    Coastal wetlands serve many important ecological services. One of these important ecological services is their use as storm buffers. Coastal wetlands provide habitat for migratory birds and aquatic species and can improve water quality. In the late 1990s, the US Fish and Wildlife Service (USFWS) published a study outlining the trends of coastal wetlands from the 1950s to early 1990s. In the present study, wetland gains and losses were calculated for Galveston County and Cameron County, Texas, USA, between 2001 and 2011. Maps from the National Land Cover Database were used to determine wetland areas for the years 2001, 2006, and 2011. ArcGIS was used to compare land cover between the study periods to determine overall wetland losses and gains. A statistical analysis was performed between wetland loss and population data to determine whether increased population density led to a higher loss of wetlands. Our analysis indicates that wetland loss is still occurring, however at a lower rate of loss (0.14%-0.18% annually) than the USFWS study predicted earlier (2.7%). In addition, the majority of wetland losses were due to conversion to upland areas. We found a positive correlation between increased population density and decreased wetland area; however, the trend was not significant. The present study shows how the majority of wetland loss in Galveston and Cameron counties is occurring as a result of increased upland areas. In addition, the present study shows that the use of online mapping systems can be used as a low-cost alternative to assess land changes when field tests are not feasible. Integr Environ Assess Manag 2018;14:120-129. © 2017 SETAC. © 2017 SETAC.

  4. 78 FR 1935 - Union Pacific Railroad Company-Abandonment and Discontinuance Exemption-in Cameron County, TX...

    Science.gov (United States)

    2013-01-09

    ... Surface Transportation Board Union Pacific Railroad Company--Abandonment and Discontinuance Exemption--in... On December 20, 2012, Union Pacific Railroad Company (UP) and Brownsville and Matamoras Bridge... with Mexico located near the center-point of B&M's bridge at Brownsville (B&M Bridge Line), a total...

  5. Attempted breastfeeding before hospital discharge on both sides of the US-Mexico border, 2005: the Brownsville-Matamoros Sister City Project for Women's Health.

    Science.gov (United States)

    Castrucci, Brian C; Piña Carrizales, Leticia E; D'Angelo, Denise V; McDonald, Jill A; Foulkes, Hillary; Ahluwalia, Indu B; Gossman, Ginger L; Acuña, Juan; Erickson, Tracy; Clatanoff, Kathy; Lewis, Kayan; Mirchandani, Gita; Smith, Brian

    2008-10-01

    The US-Mexico border region has a growing population and limited health care infrastructure. Preventive health behaviors such as breastfeeding ease the burden on this region's health care system by reducing morbidity and health care costs. We examined correlates of attempted breastfeeding before hospital discharge on each side of the US-Mexico border and within the border region. The cross-sectional study included women who delivered a live infant in Matamoros, Tamaulipas, Mexico (n = 489), and Cameron County, Texas (n = 457), which includes Brownsville, Texas. We interviewed women before hospital discharge from August 21 through November 9, 2005. We used multivariate logistic regression to estimate the odds of attempted breastfeeding before hospital discharge in Cameron County, Texas, the municipality of Matamoros, Mexico, and the 2 communities combined. Prevalence of attempted breastfeeding before hospital discharge was 81.9% in Matamoros compared with 63.7% in Cameron County. After adjusting for potential confounders, the odds of attempted breastfeeding before hospital discharge were 90% higher in Matamoros than in Cameron County (adjusted odds ratio [AOR], 1.93; 95% confidence interval [CI], 1.31-2.84 for the combined model). In the 2 communities combined, odds of attempted breastfeeding before hospital discharge were higher among women who had a vaginal delivery than among women who had a cesarean delivery (AOR, 1.98; 95% CI, 1.43-2.75) and were lower among women who delivered infants with a low birth weight than among women who delivered infants with a normal birth weight (AOR, 0.26; 95% CI, 0.15-0.44). The rate of attempted breastfeeding in Matamoros was significantly higher than in Cameron County. Additional breastfeeding support and messages on the US side of the US-Mexico border are needed.

  6. Landscape consequences of natural gas extraction in Cameron, Clarion, Elk, Forest, Jefferson, McKean, Potter, and Warren Counties, Pennsylvania, 2004-2010

    Science.gov (United States)

    Milheim, L. E.; Slonecker, E. T.; Roig-Silva, C. M.; Winters, S. G.; Ballew, J. R.

    2014-01-01

    Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing hydrocarbon-rich geologic formations, have led to an intense effort to find and extract unconventional natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique for extraction, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Cameron, Clarion, Elk, Forest, Jefferson, McKean, Potter, and Warren Counties in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication. In this region, natural gas and oil development disturbed

  7. FLOODPLAIN, CAMERON COUNTY, PA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the...

  8. 75 FR 54695 - Noise Exposure Map Notice; Brownsville South Padre Island International Airport, Brownsville, TX

    Science.gov (United States)

    2010-09-08

    ... Federal Aviation Administration Noise Exposure Map Notice; Brownsville South Padre Island International... Federal Aviation Administration (FAA) announces its determination that the noise exposure maps submitted... on the noise exposure maps is August 30, 2010. FOR FURTHER INFORMATION CONTACT: Lance E. Key, Federal...

  9. EnviroAtlas - Brownsville, TX - Ecosystem Services by Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset presents environmental benefits of the urban forest in 120 block groups in Brownsville, Texas. Carbon attributes, temperature reduction,...

  10. Mr Cameron's Three Million Apprenticeships

    Science.gov (United States)

    Allen, Martin

    2015-01-01

    In the 2015 general election campaign David Cameron celebrated the success of apprenticeships during the Coalition and promised another 3 million. This article argues that the "reinvention" of apprenticeships has neither created real skills nor provided real alternatives for young people and that the UK schemes fall far short of those in…

  11. CAMERON LESIONS: LITERATURE REVIEW AND CASE PRESENTATION

    Directory of Open Access Journals (Sweden)

    V. V. Vasilenko

    2016-01-01

    Full Text Available Cameron syndrome is the ulcerative or erosive lesions of mucosal layer at the sac of hiatal hernia which can cause chronic occult or overt bleeding and iron-deficiency anemia. Hiatal hernia is a relatively frequent finding, which is in most cases asymptomatic or manifested by dyspeptic symptoms of varying severity. Despite of being a very important association of hiatal hernia Cameron syndrome is not widely represented in medical literature. That`s the reason of a lack of awareness among physicians, surgeons and endoscopists about that pathology. Cameron lesions are significant pathology because they can become a source of chronic occult as well as an acute life-threatening bleeding. Those lesions of upper gastrointestinal tract are often misinterpreted or overlooked during standard diagnostic procedures. It can lead to the misdiagnosis and false ways of treatment. The review focuses on the pathogenesis, main diagnostic problems and treatment options of that pathology. The diagnostics of the Cameron syndrome is difficult because sometimes the lesions can`t be seen on upper gastrointestinal tract endoscopy. The review describes the criteria by which the physician may suspect Cameron syndrome when endoscopy results are not certain. Clinical case represents an important problem which is often faced by the doctors — the severe iron-deficiency anemia refractory to the medication and blood transfusions in the patients with Cameron lesions. It`s very important for doctor to be aware of that complication to include Cameron syndrome into the diagnostic search for the sources of persistent blood loss. Cameron lesions can be asymptomatic as well as be manifested in the form of severe chronic anemia. And that`s the reason why there are an important issue about the proper treatment which have to be provided in each case. The review describes the effectiveness of different treatment options and makes the conclusion about the principles on which doctor can

  12. Molecular evidence of Cotesia flavipes (Cameron) (Hymenoptera ...

    African Journals Online (AJOL)

    Cotesia flavipes (Cameron) is an Asian origin endo-larval parasitoid of cereal stemborers in the genera of Chilo, Sesamia and others. It was introduced into Kenya mainly for the control of Chilo partellus (Swinhoe) (Lepidoptera: Crambidae) from India, and North and South Pakistan. After introduction, the parasitoid was ...

  13. EnviroAtlas - Brownsville, TX - BenMAP Results by Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 120 block groups in Brownsville, Texas. The US EPA's...

  14. 77 FR 48145 - Cameron Interstate Pipeline, LLC, Cameron LNG, LLC; Notice of Intent To Prepare an Environmental...

    Science.gov (United States)

    2012-08-13

    ... laydown area) and operation of the terminal. The EIS Process The National Environmental Policy Act (NEPA... your only public input opportunity; please refer to the Environmental Review Process flow chart in... from the construction and operation of the Cameron Pipeline Expansion Project and the Cameron Liquefied...

  15. Establishing the Rhetorical Presidency through Presidential Rhetoric: Theodore Roosevelt and the Brownsville Raid

    Science.gov (United States)

    Stuckey, Mary

    2006-01-01

    Theodore Roosevelt was an important figure in the development of the presidency as a primary and authoritative source for definitions of national identity. Through an analysis of three specific rhetorical moves Roosevelt made in arguments over the "proper" interpretation of the Brownsville Raid, this essay examines how Roosevelt both justified his…

  16. Arhitekt Cameron Sinclaire parandab maailma majadega / Kristi Eberhart

    Index Scriptorium Estoniae

    Eberhart, Kristi

    2006-01-01

    Briti päritolu arhitekti Cameron Sinclaire tegevusest progressiivsete sotsiaalse arhitektuuri ideede levitamisel ja uudse lahendusega arhitektuuri loomisel katastroofipiirkondades. Ta on üks organisatsiooni Architecture for Humanity ("Arhitektuur inimkonnale") rajajaid

  17. 77 FR 10732 - Cameron LNG, LLC; Application for Long-Term Authorization To Export Domestically Produced...

    Science.gov (United States)

    2012-02-23

    ... commercial agreements reached with LNG title holders on whose behalf the LNG would be exported. Cameron... commercial agreements reached with title holders on whose behalf Cameron intends to export the LNG. Cameron... percent of the trade deficit, based on the expected value of the exports. B. There will be increased...

  18. Revision of the genus Tropobracon Cameron (Hymenoptera: Braconidae)

    NARCIS (Netherlands)

    Achterberg, van C.

    1993-01-01

    The genus Tropobracon Cameron, 1905 (Braconidae: Braconinae) is revised and its species are keyed. The type species is re-described and fully illustrated. Two new species are described: T. comorensis spec. nov. from the Comores and T. infuscatus spec. nov. from Hong-Kong. Bracon dorsalis Matsumura,

  19. The medium is the message : James Camerons "Avatar"

    OpenAIRE

    Kirchmeier, Christian

    2010-01-01

    Der Beitrag untersucht James Camerons Film Avatar (2009) hinsichtlich seiner medialen Implikationen. Die außerirdische Welt Pandora, die zunächst als mystische Einheit erscheint, erweist sich in der Analyse als eine Welt, in der die universale Medialität selbst zum Mythos geworden ist.

  20. Health Needs Assessment Survey for Brownsville, Texas. A U.S.-Mexico Border Community Case Study 1983-1985.

    Science.gov (United States)

    Zavaleta, Tony; And Others

    The sister cities of Brownsville, Texas and H. Matamoros Tamaulipas represent a microcosm of United States-Mexico border cities. The combined characteristics of urban poverty, an agricultural-based economy and high unemployment, in a predominantly Hispanic population, coupled with a high percentage of illegal aliens produce a situation of poor…

  1. Biological control of mosquitoes in scrap tires in Brownsville, Texas, USA and Matamoros, Tamaulipas, Mexico.

    Science.gov (United States)

    Uejio, Christopher K; Hayden, Mary H; Zielinski-Gutierrez, Emily; Lopez, Jose Luis Robles; Barrera, Roberto; Amador, Manuel; Thompson, Gregory; Waterman, Stephen H

    2014-06-01

    Dengue periodically circulates in southern Texas and neighboring Tamaulipas, Mexico; thus, a closer examination of human and vector ecology at the northern limits of North American transmission may improve prevention activities. Scrap tires produce large mosquito populations and increase the risk of dengue transmission. Some households choose not to pay tire disposal fees, and many tires are illegally dumped in residential areas. Biological control may provide low-cost and environmentally friendly mosquito control. This pilot study evaluated the ability of Mesocyclops longisetus to reduce mosquito populations in existing residential scrap tire piles. Mosquito populations were measured by the number of all mosquito pupae within tires or adult Aedes aegypti and Ae. albopictus near piles. Mesocyclops longisetus treated piles did not significantly reduce total mosquito pupae (P = 0.07) in Matamoros, Mexico. The study also evaluated the efficacy of native Toxorhynchites moctezuma which preferentially colonized tire piles under vegetation cover in Brownsville, TX. Toxorhynchites moctezuma larvae significantly reduced total mosquito pupae, but the strength of control diminished over time.

  2. 76 FR 4725 - Apria Healthcare Customer Service Department; Fourteen Locations in Missouri Cameron, Cape...

    Science.gov (United States)

    2011-01-26

    ... Employment and Training Administration Apria Healthcare Customer Service Department; Fourteen Locations in... Healthcare, Customer Service Department, Thirteen Locations in Missouri: Cameron, Cape Girardeau, Columbia... Healthcare, Customer Service Department. The Clinton, Missouri location provided data entry services in the...

  3. Concurrent fetal exposure to multiple environmental chemicals along the U.S.-Mexico border: an exploratory study in Brownsville, Texas.

    Science.gov (United States)

    Sexton, Ken; Salinas, Jennifer J

    2014-09-29

    There is mounting concern that cumulative exposure to diverse chemicals in the environment may contribute to observed adverse health outcomes in the Lower Rio Grande Valley of Texas. To investigate this situation, biomarker concentrations of organochlorine (OC) pesticides/metabolites, polychlorinated biphenyls (PCBs), and polycyclic aromatic hydrocarbons (PAHs) were measured in maternal and umbilical cord blood from pregnant Hispanic women in Brownsville, TX. Results show that both mothers and fetuses were exposed concurrently to a variety of relatively low-level, hazardous environmental chemicals. Approximately 10% of the blood specimens had comparatively high concentrations of specific OC pesticides, PCBs and PAHs. Because many pregnant women in Brownsville live in socioeconomically-disadvantaged and environmentally-challenging circumstances, there is appropriate concern that exposure to these exogenous substances, either individually or in combination, may contribute to endemic health problems in this population, including cardiovascular disease, obesity, and diabetes. The challenge is to identify individuals at highest comparative risk and then implement effective programs to either prevent or reduce cumulative exposures that pose significant health-related threats.

  4. 75 FR 74073 - Laguna Atascosa National Wildlife Refuge, Cameron and Willacy Counties, TX; Final Comprehensive...

    Science.gov (United States)

    2010-11-30

    .... Management efforts focus on protecting, enhancing, and restoring Refuge habitats and water management for the benefit of important fish and wildlife resources. The Refuge is a premiere bird watching destination with... ``Laguna Atascosa final CCP'' in the subject line of the message. Mail: Mark Sprick, AICP, Natural Resource...

  5. 2005 Texas Water Development Board (TWDB) Lidar: Northern Cameron and Willacy Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Using a LH Systems ALS50 Light Detection And Ranging (LiDAR) system, standard density (1.4 meter ground sample distance) data were collected over areas in Northern...

  6. 2006 Texas Water Development Board (TWDB) Lidar: Northern Cameron and Willacy Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Using a LH Systems ALS50 Light Detection And Ranging (LiDAR) system, standard density (1.4 meter ground sample distance) data were collected over areas in Northern...

  7. Geotechnical Evaluation of the Brownsville Levee Cracking and Partial Slope Failure

    Science.gov (United States)

    2017-06-01

    analyses. Based on this evaluation, recommendations for remediation include: (1) implementation of a vegetation control prog- ram, (2) short-term...abandoned oxbows, (d) the footprint of the city-county levee, and (e) the presence of spot elevations of the water surface in the neighboring oxbows...The vegetated bank appears to be nearly vertical in this photograph, while the riprapped channel bottom is relatively horizontal looking downstream

  8. Concurrent Fetal Exposure to Multiple Environmental Chemicals along the U.S.—Mexico Border: An Exploratory Study in Brownsville, Texas

    OpenAIRE

    Ken Sexton; Salinas, Jennifer J.

    2014-01-01

    There is mounting concern that cumulative exposure to diverse chemicals in the environment may contribute to observed adverse health outcomes in the Lower Rio Grande Valley of Texas. To investigate this situation, biomarker concentrations of organochlorine (OC) pesticides/metabolites, polychlorinated biphenyls (PCBs), and polycyclic aromatic hydrocarbons (PAHs) were measured in maternal and umbilical cord blood from pregnant Hispanic women in Brownsville, TX. Results show that both mothers an...

  9. A new species of the genus Xanthomicrogaster Cameron (Hymenoptera: Braconidae: Microgastrinae) from Brazil

    NARCIS (Netherlands)

    Penteado-Dias, A.M.; Shimabukuro, P.H.F.; Achterberg, van C.

    2002-01-01

    One new Xanthomicrogaster species from Brazil is described, and X. fortipes Cameron, 1911, is redescribed and reported from Brazil and Suriname for the first time. A key to the species is presented as well as data about the geographical distribution in Brazil.

  10. Review Article: Shallow Draughts--Larsen-Freeman and Cameron on Complexity

    Science.gov (United States)

    Gregg, Kevin R.

    2010-01-01

    Complexity theory is a field of physics that studies the nature and behavior of complex systems, systems whose elements interact in complex and unpredictable ways. Recent years have seen a number of attempts to extend its scope to the biological and social sciences, and now Larsen-Freeman and Cameron offer a view of applied linguistics from a…

  11. 75 FR 61475 - Cameron LNG, LLC; Notice of Intent To Prepare an Environmental Assessment for the Proposed...

    Science.gov (United States)

    2010-10-05

    ... marketing opportunities to its customers. The general location of the existing Cameron LNG terminal is shown..., ballast water, and wetlands; Cultural resources; Wildlife; Air quality and noise; Endangered and...

  12. A rare cause of anemia due to upper gastrointestinal bleeding: Cameron lesion

    Directory of Open Access Journals (Sweden)

    Ismet Özaydın

    2014-01-01

    Full Text Available Asymptomatic large hiatal hernias may lead to iron deficiency anemia due to occult and massive bleeding from linear gastric erosions or ulcers on the mucosal folds at the level of the diaphragm called the Cameron lesions. The diagnosis is usually made during upper gastrointestinal system endoscopies. Current therapy includes the medication with proton pump inhibitors in combination with oral iron supplements and in some cases surgical reconstruction of hiatal hernia with fundoplication. We present a case of a 78-year-old woman who was admitted to the outpatient clinic with the diagnosis of iron deficiency anemia without signs of acute gastrointestinal bleeding. She was treated with medication and her follow-up gastroscopy showed a total cure. She is asymptomatic for two years after treatment with proton pump inhibitors and iron supplements. Cameron lesions should be kept in mind as an unusual cause of iron deficiency anemia due to gastrointestinal bleeding. 

  13. APA Award for Distinguished Professional Contributions to Applied Research: Cameron J. Camp.

    Science.gov (United States)

    2017-12-01

    The Award for Distinguished Professional Contributions to Applied Research is given to a psychologist whose research has led to important discoveries or developments in the field of applied psychology. The 2017 recipient is Cameron J. Camp, whose innovative programs have informed psychologists in working with dementia patients to improve their living skills and enhance their independence. Camp's award citation, biography, and a selected bibliography are presented here. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  14. De Cameron a Haneke, un punto inicial para analizar el cine gerontológico

    Directory of Open Access Journals (Sweden)

    Enric ROCA CARRIÓ

    2015-07-01

    Full Text Available Reflexión a partir de las propuestas de James Cameron y de Michael Haneke que han tratado dos de los grandes temas de la gerontología: el envejecimiento activo y el final de la vida, cómo punto inicial para analizar la producción cinematográfica de carácter gerontológico. 

  15. U.S. Army Base Closure Program, Final Decision Document, Cameron Station, Alexandria, Virginia

    Science.gov (United States)

    1993-11-01

    Station site was originally wetlands . The topography of Cameron Station now 3001fs0000h:\\wp\\fs\\rod\\cmstadd 2-1 November 18, 1993 ranges in elevation from...4....64 6+3+ 10 +0 N ý 0 a N ) 0000000000000a. 00 S0 0 00 0 00 C, 00 C. 0 -l a C) 0, 0 00 0 00 0 0 00 0 . ’a ~ ~ ~ : Po4 + 4. 44 +6 01 4 z z Z

  16. Concurrent Fetal Exposure to Multiple Environmental Chemicals along the U.S.—Mexico Border: An Exploratory Study in Brownsville, Texas

    Directory of Open Access Journals (Sweden)

    Ken Sexton

    2014-09-01

    Full Text Available There is mounting concern that cumulative exposure to diverse chemicals in the environment may contribute to observed adverse health outcomes in the Lower Rio Grande Valley of Texas. To investigate this situation, biomarker concentrations of organochlorine (OC pesticides/metabolites, polychlorinated biphenyls (PCBs, and polycyclic aromatic hydrocarbons (PAHs were measured in maternal and umbilical cord blood from pregnant Hispanic women in Brownsville, TX. Results show that both mothers and fetuses were exposed concurrently to a variety of relatively low-level, hazardous environmental chemicals. Approximately 10% of the blood specimens had comparatively high concentrations of specific OC pesticides, PCBs and PAHs. Because many pregnant women in Brownsville live in socioeconomically-disadvantaged and environmentally-challenging circumstances, there is appropriate concern that exposure to these exogenous substances, either individually or in combination, may contribute to endemic health problems in this population, including cardiovascular disease, obesity, and diabetes.  The challenge is to identify individuals at highest comparative risk and then implement effective programs to either prevent or reduce cumulative exposures that pose significant health-related threats.

  17. Salud y maternidad en la frontera México-Estados Unidos. El caso de la región Matamoros-Brownsville

    Directory of Open Access Journals (Sweden)

    Belem Vásquez Galán

    2001-01-01

    Full Text Available En este documento se analizan comparativamente los servicios de salud reproductiva que las instituciones médicas ofrecen a la mujer en dos ciudades fronterizas, una en México y otra en Estados Unidos. Basadas en encuestas aplicadas a la oferta (hospitales y clínicas y demanda de servicios de salud (por parte de las usuarias, se encontró que en Brownsville las instituciones ofrecen una variada gama de servicios de maternidad a la que acceden usuarias que muestran mayor seguimiento de su embarazo y que demandan una mayor cantidad de personal especializado. Por otro lado, aunque los centros de salud en Matamoros brindan a la mujer un mayor grado de especialización del personal médico y de apoyo, además de una atención integral, el uso que ellas hacen de tales servicios se concentra en el periodo final del embarazo y tiende a ser menos especializado que el que reciben las usuarias en Brownsville

  18. 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...

  19. Sustainable Highland Development through Stakeholders’ Perceptions on Agro EcoTourism in Cameron Highlands: A Preliminary Finding

    Directory of Open Access Journals (Sweden)

    Mohd Ariffin Ati Rosemary

    2014-01-01

    Full Text Available Cameron Highlands was discovered in 1885 and was developed as a hill station. It first served as a quaint retreat destination for the British residence where the urban morphology of its little town centres were strongly characterised by colonial architecture such as bungalows, institutional buildings and government offices, shophouses and market stalls. Eventually due to economic pressure and location potentials, more land was opened for tea plantations and vegetable and flower industries. Conversely, recent rapid uncontrolled developments in the built environment and agricultural sectors have tarnished its natural environment, old-world charm and historical values.\tIf this trend persists, the popularity of Cameron Highlands as a vacation destination for local and foreign visitors may be badly affected. This research paper seeks to determine the perception of local stakeholders and tourists of the development in Cameron Highlands and whether they agree that agro-ecotourism can be used as a tool to achieve sustainability in the area. This paper is an assessment of a pilot test to determine initial perceptions toward Cameron Highlands development. The pilot test sample size was 41 respondents, comprising local authorities, local communities and NGOs, as well as local and international tourists. The results showed that the majority agreed that agro-ecotourism can generate a sustainable income and preserve the environment while ensuring sustainability through fair trade.

  20. Analyzing the Myth of Gaia and the Ecocritical Point of View in Avatar, by James Cameron

    Directory of Open Access Journals (Sweden)

    María Antonia Mezquita Fernández

    2016-10-01

    Full Text Available It is well-known that Popular Culture contains a wide variety of myths. In Avatar, a representation of the Myth of Gaia can be distinguished in the world James Cameron created. However, the film can be also analyzed from an ecocritical point of view. Consequently, the following article will show, through such myth and also through James Lovelock’s hypothesis, how Gaia can be observed in Pandora and properly recognized in Eywa Goddess. According to Ecocriticism, Cameron’s view on Pandora is that in which defending the environment is the most relevant issue. The Na’vi, who is the weakest and oppressed group, will be able to overcome the difficulties and defeat the interests of a modern society focused on extracting natural resources at any cost.

  1. Mapping of government land encroachment in Cameron Highlands using multiple remote sensing datasets

    Science.gov (United States)

    Zin, M. H. M.; Ahmad, B.

    2014-02-01

    The cold and refreshing highland weather is one of the factors that give impact to socio-economic growth in Cameron Highlands. This unique weather of the highland surrounded by tropical rain forest can only be found in a few places in Malaysia. It makes this place a famous tourism attraction and also provides a very suitable temperature for agriculture activities. Thus it makes agriculture such as tea plantation, vegetable, fruits and flowers one of the biggest economic activities in Cameron Highlands. However unauthorized agriculture activities are rampant. The government land, mostly forest area have been encroached by farmers, in many cases indiscriminately cutting down trees and hill slopes. This study is meant to detect and assess this encroachment using multiple remote sensing datasets. The datasets were used together with cadastral parcel data where survey lines describe property boundary, pieces of land are subdivided into lots of government and private. The general maximum likelihood classification method was used on remote sensing image to classify the land-cover in the study area. Ground truth data from field observation were used to assess the accuracy of the classification. Cadastral parcel data was overlaid on the classification map in order to detect the encroachment area. The result of this study shows that there is a land cover change of 93.535 ha in the government land of the study area between years 2001 to 2010, nevertheless almost no encroachment took place in the studied forest reserve area. The result of this study will be useful for the authority in monitoring and managing the forest.

  2. [Usefulness of the Cameron tracheostomy scoring system after oral tumor surgery].

    Science.gov (United States)

    Benatar-Haserfaty, J; Picón-Molina, M; Meléndez-Salinas, D A; Palacios-López, C

    2014-01-01

    The aim of this study was to analyze the results of applying the predictive score (PS) of Cameron to perform elective tracheostomy (ET) in oral tumor surgery. A retrospective and descriptive study was conducted on consecutive patients undergoing oral tumor surgery between January 2010 and December 2012. Items of the PS were collected: reconstruction and type of graft, mandibulectomy, bilateral neck dissection, and tumor location. Patients were grouped according to the management of the airway at the end of surgery into 4 groups: extubated, intubated, ET, and urgent tracheostomy. A cutoff of≥5 points PS was considered for conducting ET. A total of 90 patients were included. Group distribution was: extubated=27.8%, intubated=17.8%, ET=53.3%, and one case (1.1%) of urgent tracheostomy. Using the cutoff value of PS≥5 points yielded a diagnostic sensitivity value of 0.7 for a 95% confidence interval (CI) (0.57 to 0.82), and a diagnostic specificity value of 0.9 (95% CI 0.79 to 0.99). The PPV was 0.9 (95% CI 0.81 to 0.99) and the NPV was 0.67 (95% CI 0.54 to 0.8). The AUC gave a value of 0.87 (standard error 0.36). The likelihood ratio was 6.48. The decision to perform an ET for oral tumor surgery can be enhanced using the PS of Cameron based on objective data. Copyright © 2013 Sociedad Española de Anestesiología, Reanimación y Terapéutica del Dolor. Published by Elsevier España. All rights reserved.

  3. In-vessel co-composting of yard waste and food waste: an approach for sustainable waste management in Cameron Highlands, Malaysia

    National Research Council Canada - National Science Library

    Amirhossein Malakahmad; Natasha Binti Idrus; Motasem S Abualqumboz; Sara Yavari; Shamsul Rahman M Kutty

    2017-01-01

    Purpose Huge amount of yard waste is produced in cities with excessive agricultural activities like Cameron Highlands, Malaysia where most of the time the yard waste is being managed poorly and big...

  4. UNDERSTANDING THE 2016 BREXIT REFERENDUM: A Process Tracing Analysis of events that led to David Cameron's declaration of referendum in 2013.

    OpenAIRE

    Devkota, Sisir

    2014-01-01

    This paper will investigate the causes that led David Cameron to declare the Brexit referendum in the year 2013. Given the nature of Brexit results in 2016, there has emerged a vacuum of knowledge regarding political causes that triggered Cameron to declare the referendum in 2013. The paper will utilize deductive positivist methodology and employ Process Tracing as a method to investigate the answer to the research question. This paper will formulate and test five different hypothetical conje...

  5. Comparison pesticide residue levels in the surface of Bertam River in Cameron Highlands, Pahang

    Energy Technology Data Exchange (ETDEWEB)

    Haron, S. H., E-mail: ismail@ukm.edu.my; Ismail, B. S., E-mail: sthumaira@yahoo.com [School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia 43600 UKM, Bangi, Selangor (Malaysia)

    2015-09-25

    The presence of pesticide residues in the surface water of Bertam River in the agricultural areas of Cameron Highlands in Pahang, Malaysia was monitored from May to October 2014. The sampling sites were located at 10 sampling points along the Bertam River in the vegetable planting areas. The extraction method of the pesticide (organophosphate/pyrethroid) from the river samples used solid phase extraction followed by gas chromatography (with electron capture detector, ECD). Insecticides, cypermethrin and chlorpyrifos were found in the surface water of Bertam River. High level concentrations of those insecticides in the river were observed during the period from May to October 2014, a period which included both seasons (wet and dry seasons). The highest concentration of 2.66 µg/mL and 1.23 µg/mL of cypermethrin was observed during the wet and dry seasons respectively. This could be due to the frequent usage of the above-mentioned insecticides coupled with contamination that could have originated from the application sites. Meanwhile, the lowest concentration detected in the surface water was chlorpyrifos (0.11 µg/mL and 0.17 µg/mL) during the dry and wet seasons, respectively.

  6. Poneromorph Ants Associated with Parasitoid Wasps of the Genus Kapala Cameron (Hymenoptera: Eucharitidae in French Guiana

    Directory of Open Access Journals (Sweden)

    Jean-Paul Lachaud

    2012-01-01

    Full Text Available Eucharitid wasps are specific, specialized parasitoids of ants. The genus Kapala Cameron is the most common in the Neotropics but few species are described, and information dealing with their biology, behavior and host associations is scarce. Numerous poneromorph ant colonies were inspected over 4 collection surveys in French Guiana. A diverse fauna of parasites and parasitoids was found, including mermithid nematodes, flies, eucharitids, and another gregarious endoparasitoid wasp. Five new host associations for Kapala are reported, all of them involving medium- to large-size poneromorph ant species from 4 genera: Ectatomma brunneum Fr. Smith, Gnamptogenys tortuolosa (Fr. Smith, Odontomachus haematodus (L., O. mayi Mann, and Pachycondyla verenae (Forel. Three other associations involving O. hastatus (Fabr., P. apicalis (Latreille, and P. stigma (Fabr., already reported for other countries but new for French Guiana, are confirmed. The data extend the number of hosts for Kapala to 24 ant species from 7 genera. The high diversity of the ant host genera associated with Kapala, combined with the fact that these ant genera are the most widely distributed among Neotropical poneromorph ants, could account for the dominant status of the genus Kapala among the eucharitine wasps of Central and South America.

  7. Film formation and structural characterization of silk of the hornet Vespa simillima xanthoptera Cameron.

    Science.gov (United States)

    Kameda, Tsunenori; Kojima, Katsura; Miyazawa, Mitsuhiro; Fujiwara, Seita

    2005-01-01

    We extracted silk produced by the larva of the hornet Vespa simillima xanthoptera Cameron from its nest. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) analysis of the extracted hornet silk showed four major components with molecular weights between 35 and 60 kDa. The main amino acid components of the hornet silk protein were Ala (33.5%), Ser (16.9%), Asp (8.5%) and Glu (8.1%). The hornet silk could be dissolved in hexafluoroisopropyl alcohol (HFIP) at 25 degrees C without incurring molecular degradation. A transparent film of hornet silk was obtained readily by the formation of a cast upon drying of the hornet silk in the HFIP solution. Residual HFIP solvent was removed from the film by extraction with pure water. Solid-state 13C NMR and FT-IR measurements revealed that the secondary structures of hornet silk proteins in the native state consisted of coexisting alpha-helix and beta-sheet conformations. The beta-sheet to alpha-helix ratio, which was changed by processing, was mainly responsible for the silk's thermostability.

  8. Parasitic infections among Orang Asli (aborigine) in the Cameron Highlands, Malaysia.

    Science.gov (United States)

    Hakim, S Lokman; Gan, C C; Malkit, K; Azian, My Noor; Chong, C K; Shaari, N; Zainuddin, W; Chin, C N; Sara, Y; Lye, M S

    2007-05-01

    In April 2004, an outbreak of acute diarrheal illness occurred among the Orang Asli (aborigine) in the Cameron Highlands, Pahang State, Peninsular Malaysia, where rotavirus was later implicated as the cause. In the course of the epidemic investigation, stool samples were collected and examined for infectious agents including parasites. Soil transmitted helminthes (STH), namely Ascaris lumbricoides (25.7%), Trichuris trichiura (31.1%) and hookworm (8.1%), and intestinal protozoa, which included Giardia lamblia (17.6%), Entamoeba histolytica/E. dispar (9.4%), Blastocystis hominis (8.1%) and Cryptosporidium parvum (2.7%), were detected. Forty-four (59.5%) were infected with at least one parasite, 24 (32.4%), 12 (16.2%) and 8 (10.8%) had single, double and triple parasitic infections, respectively. STH were prevalent with infections occurring as early as in infancy. Giardia lamblia, though the most commonly found parasite in samples from symptomatic subjects, was within the normally reported rate of giardiasis among the various communities in Malaysia, and was an unlikely cause of the outbreak. However, heavy pre-existing parasitic infections could have contributed to the severity of the rotavirus diarrheal outbreak.

  9. Heavy rainfall intensity triggering the landslide at Sungai Ruil Cameron Highland Malaysia - A Case study

    Science.gov (United States)

    Jaafar, K. B.

    2012-04-01

    Landslide in the village of Sungai Ruil, Brinchang, Cameron Highlands, Malaysia occurred on August 7, 2011 at 5:50 pm. This incident has caused six houses buried by debris or mud which engaged seven fatalities and two injuries This landslide has been classified as landslide debris flow. Total area of the village involved is around 40 hectares whilst the catchment area of the village is around 80 hectares. The landslide forensic investigation was carried out to identify the caused of the failure. There are three methods in conducting the study that involved geological mapping and interpretation for assessment of geological hazards. The second method is the debris flow hazard assessment in all the drainage including rainfall analysis. The rainfall analysis was carried out to produce the snake line and critical line. The third method is an analysis of slope stability in locations with high potential of slope failure in the area. There are three factors identified that resulted from this incident. The first factor is the presence of geological factors weakness (covered by colluviums), weathered material, orientation and location of adversely discontinuities and relict slope failure. While the second factor is the appearance of the morphology of hilly terrain, presence of channel order 0 or 'ephemeral drainage' and river bed gradient more than 35 degrees. The third factor is human activity that build water barrier. While the high intensity of rainfall in a short period of time is believed to be a triggering factor. This paper will discuss in detail on how intensity and duration of rainfall induce the landslide and predict the threshold value at the area.

  10. Evidence for the microbial degradation of imidacloprid in soils of Cameron Highlands

    Directory of Open Access Journals (Sweden)

    Nasrin Sabourmoghaddam

    2015-06-01

    Full Text Available Imidacloprid (1-[(6-chloro-3-pyridinylmethyl]-N-nitro-2-imidazolidinimine, with a novel mode of action is a recent systemic and contact insecticide with high activity against a wide range of pests. Continuous dispersion of this pesticide in the environment and its stability in soil results in environmental pollution which demands remediation. The present research was attempted to isolate and characterize imidacloprid degrading bacteria from vegetable farms of Cameron Highlands in Malaysia. The degradation ability of the isolates was tested in minimal salt medium (MSM for a duration of 25 days and the selected strains were characterized based on their biochemical and molecular characteristics. Levels of imidacloprid in MSM medium were analyzed by high performance liquid chromatography (HPLC. Among 50 soil bacterial isolates Bacillus sp., Brevibacterium sp., Pseudomonas putida F1, Bacillus subtilis and Rhizobium sp. were able to degrade 25.36–45.48% of the initial amount of imidacloprid at the concentration of 25 mg L−1 in C limited media. Brevibacterium sp. was isolated from organic farms that had never been exposed to imidacloprid while the other farms had previously been exposed to different levels of imidacloprid. All bacteria introduced in this study were among the first reports of imidacloprid degrading isolates in C limited media from tropical soil. Therefore, the results of this study demonstrate the effectiveness of using soil bacteria for microbial degradation of imidacloprid. These findings suggest that these strains may be promising candidates for bioremediation of imidacloprid-contaminated soils.

  11. Modeling background radiation using geochemical data: A case study in and around Cameron, Arizona.

    Science.gov (United States)

    Marsac, Kara E; Burnley, Pamela C; Adcock, Christopher T; Haber, Daniel A; Malchow, Russell L; Hausrath, Elisabeth M

    2016-12-01

    This study compares high resolution forward models of natural gamma-ray background with that measured by high resolution aerial gamma-ray surveys. The ability to predict variations in natural background radiation levels should prove useful for those engaged in measuring anthropogenic contributions to background radiation for the purpose of emergency response and homeland security operations. The forward models are based on geologic maps and remote sensing multi-spectral imagery combined with two different sources of data: 1) bedrock geochemical data (uranium, potassium and thorium concentrations) collected from national databases, the scientific literature and private companies, and 2) the low spatial resolution NURE (National Uranium Resource Evaluation) aerial gamma-ray survey. The study area near Cameron, Arizona, is located in an arid region with minimal vegetation and, due to the presence of abandoned uranium mines, was the subject of a previous high resolution gamma-ray survey. We found that, in general, geologic map units form a good basis for predicting the geographic distribution of the gamma-ray background. Predictions of background gamma-radiation levels based on bedrock geochemical analyses were not as successful as those based on the NURE aerial survey data sorted by geologic unit. The less successful result of the bedrock geochemical model is most likely due to a number of factors including the need to take into account the evolution of soil geochemistry during chemical weathering and the influence of aeolian addition. Refinements to the forward models were made using ASTER visualizations to create subunits of similar exposure rate within the Chinle Formation, which contains multiple lithologies and by grouping alluvial units by drainage basin rather than age. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

  12. Sweet Sixteen: The Prospective Clinical Trials of John L. Cameron, MD-The Clinician-Scientist: From Alternate-Allocation to Randomized Controlled Trials.

    Science.gov (United States)

    Yeo, Charles J

    2017-09-15

    : The era of randomized controlled trials was ushered in by the British epidemiologist-statistician Austin Bradford Hill, with his work on the use of streptomycin in patients with tuberculosis. John L. Cameron, can be linked to 16 prospective clinical trials over his career thus far, starting with alternate-allocation trials and transitioning to prospective, randomized, placebo-controlled trials. These trials studied various topics in surgery-from pancreatitis to surgical site infections, to drain trials, a trial in Crohn disease and multiple trials in pancreatic surgery and cancer. Herein are described the "sweet sixteen" prospective clinical trials of Dr Cameron.

  13. Embracing the local: enriching scientific research, education, and outreach on the Texas-Mexico border through a participatory action research partnership.

    Science.gov (United States)

    May, Marlynn L; Bowman, Gloria J; Ramos, Kenneth S; Rincones, Larry; Rebollar, Maria G; Rosa, Mary L; Saldana, Josephine; Sanchez, Adelina P; Serna, Teresa; Viega, Norma; Villegas, Gregoria S; Zamorano, Maria G; Ramos, Irma N

    2003-01-01

    Cameron Park, Texas, is a colonia (an isolated, unincorporated rural settlement without municipal improvements) on the Texas-Mexico border in the Lower Rio Grande Valley, in Cameron County near Brownsville, Texas. Cameron Park has a population of 5,961 residents, 99.3% of whom are Hispanic. The annual median income is 16,934 US dollars, about one-half of the state median. Fifty-eight percent of families generally and 68% of those with children younger than 5 years have incomes below poverty level. Cameron Park resides geographically in a region where agriculture has been, and continues to be, a dominant industry, a fact consistent with the intensive use of pesticides and increased potential for air, water, and ground contamination. The practice of good environmental health is extremely difficult under these conditions. In 1999 the Texas A&M University Center for Housing and Urban Development's Colonias Program and the Center for Environmental and Rural Health teamed up to create an environmental health education and outreach program called the Cameron Park Project (CPP). The CPP focused on how to reduce potential environmental exposures associated with human illness by providing residents with scientifically sound information on positive health practices and how to deal with environmental hazards. In this article we discuss the research methodology used in the CPP, a methodology specifically chosen to address four challenges presented by colonias to conducting valid and reliable research. PMID:14527834

  14. Level II Cultural Resource investigation for the Texoma Distribution Enhancements project, Cameron and Calcasieu Parishes, Louisiana: Final report

    Energy Technology Data Exchange (ETDEWEB)

    LeeDecker, C. H.; Holland, C. C.

    1987-10-01

    A Level II Cultural Resource Survey was completed for the Texoma Distribution Enhancements project, located in Cameron and Calcasieu Parishes, Louisiana. The 13-mile pipeline extends from Strategic Petroleum Reserve No. 3 to a terminus near Vincent Landing. Located in Louisiana's southwest coastal zone, the pipeline will traverse extensive marsh lands as well as upland prairie terrace areas. Present land use within the project area consists primarily of undeveloped marsh land and cattle range. The study methods included background research, intensive pedestrian survey with systematic shovel testing, a boat survey, and laboratory analysis of recovered artifact collections. One historic site, 16CU205, was identified during the field survey, and it was tested for National Register eligibility. The site is assignable to the Industrialization and Modernization (1890-1940) Cultural Unit. Archaeological testing indicates that it is a rural residence or farmstead, with a house and one outbuilding within the proposed right-of-way. The site lacks significant historical association and sufficient archaeological integrity to merit inclusion on the National Register of Historic Places. Four standing structures were also identified during the field survey. The structures are agricultural outbuildings, less than 40 years in age, that possess no architectural distinction or historical association. They have been documented photographically and by scaled plan drawings, but do not merit additional study prior to their destruction. 24 refs., 15 figs., 3 tabs.

  15. Flood-plain delineation for Cub Run basin, Fairfax County, Virginia

    Science.gov (United States)

    Soule, Pat LeRoy

    1978-01-01

    Flood-plain delineation for Cub Run basin water-surface profiles of the 25-, 50-, and 100-year recurrence interval discharges have been computed for all streams and reaches of channels in Fairfax County, Virginia having a drainage area greater than 1 square mile except for Dogue Creek, Little Hunting Creek, and that part of the Cameron Run above Lake Barcroft. Maps having a 2-foot contour interval and a horizontal scale of 1 inch equals 100 feet have been used for base on which flood boundaries were delineated for 25-, 50-, and 100-year floods to be expected in each basin under ultimate development conditions. This report is one of a series and presents a discussion of techniques employed in computing discharges and profiles as well as the flood profiles and maps on which flood boundaries have been delineated for the Cub Run basin in Fairfax County

  16. Willingness to pay for highlands' agro-tourism recreational facility: A case of Boh Tea plantation, Cameron Highlands, Malaysia

    Science.gov (United States)

    A, Syamsul Herman M.; M, Nur A'in C.; S, Ahmad; S, Ramachandran

    2014-03-01

    The increase in tourist demand for highland experience is inevitable. Cameron Highlands, established as a Tea Plantation Estate during the British Colonial era in 1929, has evolved into a major highland tourism destination providing a cool climatic experience coupled with scenic beauty in the midst of Tudor concept architecture which enhances the destinations historical value. Realising such tourism potential, the Boh Plantation management has provided a visitor centre as recreational facility for tourist utilisation. However, the absence in imposing an entrance fee has left a vacuum in determining the recreational economic value of this facility as the benefit of this agro-tourism product to tourists remains unknown. It would be important for the management to identify the benefit since the development and maintenance of the facility is costly. Hence, the purpose of this paper is to estimate the benefit of such establishment in highlands area by assessing visitor's Willingness to pay (WTP). The study examines, explores and debates the issues in a critical yet supportive environment especially highlands. The study obtained 179 usable questionnaires from visitors during weekends, weekdays and public holidays. The result showed that 59% of the visitors were willing to pay for the agro-tourism product. The WTP was estimated at RM 7.21 (1.81). Three factors were found to be influencing WTP which were monthly income, years of education and perception on scenery. Although the study was conducted post development, the finding indicated the WTP for current management practise. Should the management change its style, it would also affect WTP and also the total economic value. Since WTP is established concept, the finding of the study reflects on the opportunities, barriers and challenges inherent in embracing post-disciplinary approaches to research and suggest ways to further enhance the approach.

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. DRAFT LANDSAT DATA MOSAIC: MONTGOMERY COUNTY, TEXAS; HARRIS COUNTY, TEXAS; FORT BEND COUNTY, TEXAS; BRAZORIA COUNTY, TEXAS; GALVESTON COUNTY, TEXAS

    Science.gov (United States)

    This is a draft Landsat Data Mosaic, which contains remote sensing information for Montgomery County, Texas Harris County, Texas Fort Bend County, Texas Brazoria County, Texas Galveston County, and Texas Imagery dates on the following dates: October 6, 1999 and September 29, 200...

  2. Distribution and fate of HCH isomers and DDT metabolites in a tropical environment–case study Cameron Highlands–Malaysia

    Directory of Open Access Journals (Sweden)

    Saadati Naghmeh

    2012-11-01

    Full Text Available Abstract Background The serious impact effects of persistent organic pollutants such as organochlorine pesticides, especially dichlorodiphenyltrichloroethane family (DDTs and hexachlorocyclohexane isomers (HCHs have been causing widespread concern, despite effective control on their manufacturing, agricultural and vector practices. In that, in addition to the previous global limitations on DDTs usage, α-HCH, β-HCH and lindane have also became an on-going topic of global relevance based on the latest Stockholm Convention list on 10th of May 2009. Concentrations of dichlorodiphenyltrichloroethane family (DDTs and hexachlorocyclohexane isomers (HCHs were determined by GC-ECD in Cameron Highlands, the main vegetables and flowers farming area in Malaysia as an agricultural tropical environment. A total of 112 surface water and sediment samples at eight points were collected along the main rivers in the area namely Telom and Bertam in the dry and wet seasons of 2011. Results Total concentration of HCH isomers ranged from not detected to 25.03 ng/L in the water (mean of 5.55 ±6.0 ng/L, while, it ranged from 0.002 to 59.17 ng/g (mean of 8.06±9.39 ng/g in the sediment. Total concentration of DDT and its metabolites in the water samples varied from not detected to 8.0 ng/L (mean of 0.90±1.66 ng/g, whereas, it was in the range of 0.025 to 23.24 ng/g (mean of 2.55±4.0 ng/g in the surface sediment samples. The ratio of HCHs and DDTs composition indicated an obvious historical usage and new inputs of these pesticides. Among alpha, beta, gamma and delta isomers of HCH, gamma was the most dominant component in the sediment and water as well. Some seasonal variations in the level of selected pesticides were noted. Conclusions The results illustrate distribution, behaviour and fate of HCHs, and DDTs have closely connected with topological and meteorological properties of the area beyond their chemical characterizations. The features of environmental

  3. Children of homosexuals more apt to be homosexuals? A reply to Morrison and to Cameron based on an examination of multiple sources of data.

    Science.gov (United States)

    Schumm, Walter R

    2010-11-01

    Ten narrative studies involving family histories of 262 children of gay fathers and lesbian mothers were evaluated statistically in response to Morrison's (2007) concerns about Cameron's (2006) research that had involved three narrative studies. Despite numerous attempts to bias the results in favour of the null hypothesis and allowing for up to 20 (of 63, 32%) coding errors, Cameron's (2006) hypothesis that gay and lesbian parents would be more likely to have gay, lesbian, bisexual or unsure (of sexual orientation) sons and daughters was confirmed. Percentages of children of gay and lesbian parents who adopted non-heterosexual identities ranged between 16% and 57%, with odds ratios of 1.7 to 12.1, depending on the mix of child and parent genders. Daughters of lesbian mothers were most likely (33% to 57%; odds ratios from 4.5 to 12.1) to report non-heterosexual identities. Data from ethnographic sources and from previous studies on gay and lesbian parenting were re-examined and found to support the hypothesis that social and parental influences may influence the expression of non-heterosexual identities and/or behaviour. Thus, evidence is presented from three different sources, contrary to most previous scientific opinion, even most previous scientific consensus, that suggests intergenerational transfer of sexual orientation can occur at statistically significant and substantial rates, especially for female parents or female children. In some analyses for sons, intergenerational transfer was not significant. Further research is needed with respect to pathways by which intergenerational transfer of sexual orientation may occur. The results confirm an evolving tendency among scholars to cite the possibility of some degree of intergenerational crossover of sexual orientation.

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. Allegheny County Addressing Landmarks

    Data.gov (United States)

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

  10. 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...

  11. Allegheny County Asbestos Permits

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Current 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...

  12. 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 2016. Fields include injury severity,...

  13. 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,...

  14. 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...

  15. 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...

  16. 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...

  17. 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,...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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.

  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. 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,...

  5. 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...

  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 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...

  8. 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...

  9. 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...

  10. 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,...

  11. 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)...

  12. Pilot-scale studies of soil vapor extraction and bioventing for remediation of a gasoline spill at Cameron Station, Alexandria, Virginia

    Energy Technology Data Exchange (ETDEWEB)

    Harrison, W.; Joss, C.J.; Martino, L.E. [and others

    1994-07-01

    Approximately 10,000 gal of spilled gasoline and unknown amounts Of trichloroethylene and benzene were discovered at the US Army`s Cameron Station facility. Because the base is to be closed and turned over to the city of Alexandria in 1995, the Army sought the most rapid and cost-effective means of spill remediation. At the request of the Baltimore District of the US Army Corps of Engineers, Argonne conducted a pilot-scale study to determine the feasibility of vapor extraction and bioventing for resolving remediation problems and to critique a private firm`s vapor-extraction design. Argonne staff, working with academic and private-sector participants, designed and implemented a new systems approach to sampling, analysis and risk assessment. The US Geological Survey`s AIRFLOW model was adapted for the study to simulate the performance of possible remediation designs. A commercial vapor-extraction machine was used to remove nearly 500 gal of gasoline from Argonne-installed horizontal wells. By incorporating numerous design comments from the Argonne project team, field personnel improved the system`s performance. Argonne staff also determined that bioventing stimulated indigenous bacteria to bioremediate the gasoline spin. The Corps of Engineers will use Argonne`s pilot-study approach to evaluate remediation systems at field operation sites in several states.

  13. EDITORIAL: `Bridging Gravitational Wave Astronomy and Observational Astrophysics', Proceedings of the 13th Gravitational Wave Data Analysis Workshop (GWDAW13) (San Juan, Puerto Rico, 19-22 January 2009), sponsored by the Center for Gravitational Wave Astronomy, The University of Texas at Brownsville and The National Astronomy and Ionosphere Center `Bridging Gravitational Wave Astronomy and Observational Astrophysics', Proceedings of the 13th Gravitational Wave Data Analysis Workshop (GWDAW13) (San Juan, Puerto Rico, 19-22 January 2009), sponsored by the Center for Gravitational Wave Astronomy, The University of Texas at Brownsville and The National Astronomy and Ionosphere Center

    Science.gov (United States)

    Díaz, Mario; Jenet, Fredrick; Mohanty, Soumya

    2009-10-01

    The 13th Gravitational Wave Data Analysis Workshop took place in San Juan, Puerto Rico on the 19-22 January 2009. This annual event has become the established venue for presenting and discussing new results and techniques in this crucial subfield of gravitational wave astronomy. A major attraction of the event is that scientists working with all possible instruments gather to discuss their projects and report on the status of their observations. The Center for Gravitational Wave Astronomy at the University of Texas at Brownsville, USA (a National Aeronautics and Space Administration University Research Center and a National Science Foundation Center for Research Excellence in Science and Technology) jointly with the National Astronomy and Ionosphere Center (which operates the Arecibo Observatory) were the proud sponsors of the gathering this time. As in previous years, GWDAW13 was well attended by more than 100 participants from over 10 countries worldwide As this issue is going to press GEO, LIGO and VIRGO are undergoing new scientific runs of their instruments with the LIGO detectors holding the promise of increasing their operational sensitivity twofold as compared with the observations finished a couple of years ago. This new cycle of observations is a major milestone compared to the previous observations which have been accomplished. Gravitational waves have not been observed yet, but the instrumental sensitivity achieved has started producing relevant astrophysical results. In particular, very recently (Nature, 20 August 2009) a letter from the LIGO Scientific Collaboration http://www.ligo.org and the VIRGO Collaboration http://www.virgo.infn.it has set the most stringent limits yet on the amount of gravitational waves that could have come from the Big Bang in the gravitational wave frequency band where current gravitational wave detectors can observe. These results have put new constraints on the physical characteristics of the early universe. The proximity

  14. 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...

  15. Allegheny County Supermarkets & Convenience Stores

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Location information for all Supermarkets and Convenience Stores in Allegheny County was produced using the Allegheny County Fee and Permit Data for 2016.

  16. 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...

  17. 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...

  18. 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.

  19. 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...

  20. Anxiety, depression and smoking status among adults of Mexican heritage on the Texas-Mexico Border.

    Science.gov (United States)

    Wilkinson, Anna V; Vatcheva, Kristina P; Pérez, Adriana; Reininger, Belinda M; McCormick, Joseph B; Fisher-Hoch, Susan P

    2014-08-01

    The goal of the current analysis is to examine relationships between smoking status and anxiety and depression among adults of Mexican heritage to inform the development of culturally relevant smoking cessations efforts. Mexican heritage residents (N=1,791) of the city of Brownsville, TX, aged 18 years or older, enrolled in the Cameron County Hispanic Cohort, were selected through two stage cluster sampling of randomly selected census tracts from the first and third quartile of SES using Census 2000. Among current smokers, anxiety and depression scores were highest among women who had not completed high school (panxiety and depression than never smoking women. Negative affective states may represent a greater barrier to smoking cessation among women than men.

  1. Identification of four major hornet silk genes with a complex of alanine-rich and serine-rich sequences in Vespa simillima xanthoptera Cameron.

    Science.gov (United States)

    Sezutsu, Hideki; Kajiwara, Hideyuki; Kojima, Katsura; Mita, Kazuei; Tamura, Toshiki; Tamada, Yasushi; Kameda, Tsunenori

    2007-11-01

    Hornet silk, a fibrous protein in the cocoon produced by the larva of the vespa, is composed of four major proteins. In this study, we constructed silk-gland cDNA libraries from larvae of the hornet Vespa simillima xanthoptera Cameron and deduced the full amino acid sequences of the four hornet silk proteins, which were named Vssilk 1-4 in increasing order of molecular size. Portions of the amino acid sequences of the four proteins were confirmed by Matrix-assisted laser desorption/ionization-time of flight/mass spectrometry (MALDI-TOF/MS) and N-terminal protein sequencing. The primary sequences of the four Vssilk proteins (1-4) were highly divergent, but the four proteins had some common properties: (i) the amino acid compositions of all four proteins were similar to each other in that the well-defined and characteristic repetitive patterns present in most of the known silk proteins were absent; and (ii) the characteristics of the amino acid sequences of the four proteins were also similar in that Ser-rich structures such as sericin were localized at both ends of the chains and Ala-rich structures such as fibroin were found in the center. These characteristic primary structures might be responsible for the coexisting alpha-helix and beta-sheet conformations that make up the unique secondary structure of hornet silk proteins in the native state. Because heptad repeat sequences of hydrophobic residue are present in the Ala-rich region, we believe that the Ala-rich region of hornet silk predominantly forms a coiled coil with an alpha-helix conformation.

  2. Using ALOS PALSAR derived high-resolution DInSAR to detect slow-moving landslides in tropical forest: Cameron Highlands, Malaysia

    Directory of Open Access Journals (Sweden)

    Mustafa Neamah Jebur

    2015-11-01

    Full Text Available Landslide is one of the natural hazards that pose maximum threat for human lives and property in mountainous regions. Mitigation and prediction of this phenomenon can be done through the detection of landslide-susceptible areas. Therefore, an appropriate landslide analysis is needed in order to map and consequently understand the characteristic of this disaster. One of the recent popular remote sensing techniques in deformation analysis is the differential interferometric synthetic aperture radar which is popularly known as DInSAR. Due to the mass vegetation condition in Malaysia, a long-wavelength synthetic aperture radar (∼24 cm is required in order to be able to penetrate through the forests and reach the bare land. For that reason, ALOS PALSAR HH imagery was used in this study to derive a deformation map of the Gunung Pass area located in the tropical forest of the Cameron Highlands, Malaysia. In this study, the ascending orbit ALOS PALSAR images were acquired in September 2008, January 2009 and December 2009. Subsequently the displacement measurements of the study site (Gunung Pass were calculated. The accuracy of the result was evaluated through its comparison with ground truth data using the R2 and root mean square error (RMSE methods. The resulted deformation map showed the landslide locations in the study area from interpretation of the results with 0.84 R2 and 0.151 RMSE. The DInSAR precision was 11.8 cm which proved the efficiency of the proposed method in detecting landslides in a tropical country like Malaysia. It is highly recommended to use the proposed method for any other deformation studies.

  3. Effects of solar zenith angles on CO Cameron bands emission intensities in the dayside atmosphere of Mars: MEX/SPICAM observations

    Science.gov (United States)

    Pothuraju, Thirupathaiah; Haider, Syed A.

    2016-07-01

    We have developed a model to calculate the photoelectron energy fluxes and emission intensities of the CO Cameron bands in the upper atmosphere of Mars between solar zenith angles 0° to 90°. The production and loss mechanisms of CO (a ^{3}Π) are incorporated in the model. The atmospheric neutral parameters are adopted from the Mars Climate Database (v5.2). The required solar EUV fluxes are taken from the Solar2000 model (v2.37) and scaled to Mars. The photoelectron fluxes are calculated at different solar zenith angles using an analytical yield spectrum approach based on the Monte Carlo method. In this model we have assumed that crustal magnetic fields are horizontal in direction. Thus, photoelectrons are losing their energy at the same height where they are produced. This assumption is valid at mid and high latitudes where magnetic fields are mostly horizontal. We have also developed a coupled chemistry model to calculate the ion and electron density at different solar zenith angles, which are used in the airglow model. The model results are compared with the observations provided by the SPICAM onboard MEX. Our model reproduces the observed intensity profiles quite well. The CO (a ^{3}Π) is produced due to photoelectron excitation/dissociation, photodissociation, and dissociative recombination processes. It is destroyed by CO _{2}, CO and radiative decay. It is found that photon and photoelectron dissociation are dominant production processes of CO (a ^{3}Π), while radiative decay is a major loss mechanism of this state. The estimated photoelectron fluxes, production rates and intensities are decreasing with increasing solar zenith angles.

  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. 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,...

  6. Allegheny County Vacant Properties

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Mail carriers routinely collect data on address no longer receiving mail due to vacancy. This vacancy data is reported quarterly at census tract geographies in the...

  7. 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...

  8. Allegheny County Housing Tenure

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Home ownership provides a number of financial, social, and health benefits to American families. Especially in areas with housing price appreciation, home ownership...

  9. 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...

  10. Allegheny County Older Housing

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Older housing can impact the quality of the occupant's health in a number of ways, including lead exposure, housing quality, and factors that may exacerbate...

  11. 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....

  12. 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,...

  13. Characterization and treatment of water used for human consumption from six sources located in the Cameron/Tuba City abandoned uranium mining area.

    Science.gov (United States)

    Orescanin, Visnja; Kollar, Robert; Nad, Karlo; Mikelic, Ivanka Lovrencic; Kollar, Iris

    2011-01-01

    The purpose of this research was the characterization and improvement of the quality of water used for human consumption of unregulated/regulated water sources located in the Cameron/Tuba City abandoned uranium mining area (NE Arizona, western edge of the Navajo Nation). Samples were collected at six water sources which included regulated sources: Wind Mill (Tank 3T-538), Badger Springs and Paddock Well as well as unregulated sources: Willy Spring, Water Wall and Water Hole. Samples taken from Wind Mill, Water Wall and Water Hole were characterized with high turbidity and color as well as high level of manganese, iron and nickel and elevated value of molybdenum. High level of iron was also found in Badger Spring, Willy Spring, and Paddock Well. These three water sources were also characterized with elevated values of fluoride and vanadium. Significant amounts of zinc were found in Water Wall and Water Hole samples. Water Wall sample was also characterized with high level of Cr(VI). Compared to primary or secondary Navajo Nation Environmental Protection Agency (NNEPA) water quality standard the highest enrichment was found for turbidity (50.000 times), color (up to 1.796 times) and manganese (71 times), Cr(VI) (17.5 times), iron (7.4 times) and arsenic (5.2 times). Activities of (226)Ra and (238)U in water samples were still in agreement with the maximum contaminant levels. In order to comply with NNEPA water quality standard water samples were subjected to electrochemical treatment. This method was selected due to its high removal efficiency for heavy metals and uranium, lower settlement time, production of smaller volume of waste mud and higher stability of waste mud compared to physico-chemical treatment. Following the treatment, concentrations of heavy metals and activities of radionuclides in all samples were significantly lower compared to NNEPA or WHO regulated values. The maximum removal efficiencies for color, turbidity, arsenic, manganese, molybdenum and

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. DOT Official County Highway Map

    Data.gov (United States)

    Minnesota Department of Natural Resources — The County Highway Map theme is a scanned and rectified version of the original MnDOT County Highway Map Series. The cultural features on some of these maps may be...

  20. 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 2013 in Allegheny County, PA. Before doing any market analysis on property sales, check...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. Providing engineering services to counties.

    Science.gov (United States)

    2008-09-01

    An engineer is required by law to safeguard the health, safety and welfare of the public. The current Kansas : statute state, The Board of County Commissioners of each county shall appoint a licensed professional : engineer, whose title shall be c...

  6. 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...

  7. Allegheny County Primary Care Access

    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...

  8. 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...

  9. Allegheny County Addressing Address Points

    Data.gov (United States)

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

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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....

  19. 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 lines....

  20. UNEMPLOYMENT IN HUNEDOARA COUNTY

    Directory of Open Access Journals (Sweden)

    CLAUDIA ISAC

    2015-12-01

    Full Text Available Unemployment highlights a state of imbalance on the labour market which is characterized by a surplus of workforce in relation to job vacancies. This imbalance has been more apparent in Hunedoara County than in other counties, due to the fact that there are 3 mono-industrial areas that have been restructured over the past two decades. The effects are presented in this paper in the form of a complex statistical analysis. Thus, based on the evolution of the number of unemployed individuals in 1995, one can observe the periods of significant adverse effects upon the degree of employment. Moreover, one can make correlations with periods of international financial crisis and with the number of employees in the County in order to determine significant variables of the unemployment phenomenon. The content of this paper is significant and represents the analysis of the number of unemployed in the Jiu Valley, scattered across towns. As a form of financial protection, the unemployment benefit represents a financial instrument in the cases determined by this negative phenomenon, which is why in conclusion we make a comparison of the ways this aid is granted throughout several years and in various forms.

  1. Toxicity assessment of the water used for human consumption from the Cameron/Tuba City abandoned uranium mining area prior/after the combined electrochemical treatment/advanced oxidation.

    Science.gov (United States)

    Gajski, Goran; Oreščanin, Višnja; Gerić, Marko; Kollar, Robert; Lovrenčić Mikelić, Ivanka; Garaj-Vrhovac, Vera

    2015-01-01

    The purpose of this work was detailed physicochemical, radiological, and toxicological characterization of the composite sample of water intended for human consumption in the Cameron/Tuba City abandoned uranium mining area before and after a combined electrochemical/advanced oxidation treatment. Toxicological characterization was conducted on human lymphocytes using a battery of bioassays. On the bases of the tested parameters, it could be concluded that water used for drinking from the tested water sources must be strictly forbidden for human and/or animal consumption since it is extremely cytogenotoxic, with high oxidative stress potential. A combined electrochemical treatment and posttreatment with ozone and UV light decreased the level of all physicochemical and radiological parameters below the regulated values. Consequently, the purified sample was neither cytotoxic nor genotoxic, indicating that the presented method could be used for the improvement of water quality from the sites highly contaminated with the mixture of heavy metals and radionuclides.

  2. 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.

  3. Heritage Awareness in County Wicklow.

    OpenAIRE

    Dagg, Anne, (Thesis)

    2008-01-01

    This research project investigated the community’s current level of heritage awareness in County Wicklow. The study was initiated by Wicklow County Council and the Heritage Council in response to objective 1, action 1.2 of the County Wicklow heritage plan 2004-2008, which pointed to the need to undertake a study to determine public attitudes towards heritage and to gauge the current level of awareness about heritage in the county. The findings of this research are being used on an ongoing bas...

  4. 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....

  5. 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...

  6. 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...

  7. 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...

  8. Transition from pre-diabetes to diabetes and predictors of risk in Mexican-Americans

    Directory of Open Access Journals (Sweden)

    Wu SH

    2017-12-01

    Full Text Available Shenghui Wu,1 Joseph B McCormick,2 Joanne E Curran,3 Susan P Fisher-Hoch2 1Department of Epidemiology and Biostatistics, University of Texas Health at San Antonio-Laredo Campus, Laredo, 2Division of Epidemiology, University of Texas Health Science Center-Houston, School of Public Health, Brownsville Campus, Brownsville, 3South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville Campus, Brownsville, TX, USA Background: No studies have examined risk factors for the transition from pre-diabetes to diabetes in populations with widespread obesity and diabetes. We determined proximal changes and factors affecting the transition among Mexican-Americans with pre-diabetes.Methods: Participants with pre-diabetes (n=285 were recruited from our randomly sampled population-based Cameron County Hispanic Cohort. These participants were followed for an average of 27 months with repeat examination every 3 to 4 months. Metabolic health was defined as having less than 2 metabolic abnormalities (e.g., hypertension, elevated low-density lipoprotein, etc. Diabetes was identified as fasting blood glucose ≥126 mg/dL, glycated hemoglobin ≥6.5% and/or on hypoglycemic medication.Results: Ninety-six of 285 (33.7% participants transitioned to overt diabetes. The increased risk of diabetes in the metabolically unhealthy varying with follow-up time was 81% (adjusted odds ratio [OR]: 1.81; 95% CI: 1.09–3.02. The risk of diabetes increased 8% for each kg/m2 of increase in body mass index (BMI, OR: 1.08; 95% CI: 1.05–1.11 independent of covariates. Transition to diabetes was accompanied by a mean increase in BMI of 0.28 kg/m2, and deterioration in metabolic health of 9% (OR: 1.09; 95% CI: 1.003–1.18 compared with those who did not transition.Conclusions: Deteriorating metabolic health and/or increasing BMI significantly raises the risk of transitioning from pre-diabetes to diabetes. Transition itself was

  9. 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...

  10. 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...

  11. 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...

  12. 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;...

  13. Soils - Volusia County Soils (Polygons)

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — 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...

  14. 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...

  15. 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...

  16. Montgomery County Council Legislation - Bills

    Data.gov (United States)

    Montgomery County of Maryland — The Council enacts local public laws for the ‘peace, good government, health, and welfare of the county’. The bills dataset contains all legislation considered by...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. Allegheny County Illegal Dump Sites

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Illegal Dump Site dataset includes information on illegal dump sites, their type of trash, and the estimate tons of trash at each site. The information was...

  2. 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...

  3. Allegheny County Property Assessment Appeals

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Lists property assessment appeals filed and heard with the Board of Property Assessment Appeals and Review (BPAAR) and the hearing results, for tax years 2015 and...

  4. 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...

  5. 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...

  6. 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...

  7. Torrance County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The Torrance County digital road network wa created as part of the State of New Mexico Enhanced 911 Addressing Grant. The original primary function was to lay the...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  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. 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...

  14. 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...

  15. 2007 Lake County Board of County Commissioners Topographic LiDAR: Lake County, Florida

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This metadata document describes the LiDAR point data in LAS format produced by Kucera covering the project area of Lake County, FL. The data produced is...

  16. 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...

  17. 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...

  18. 2010 ARRA Lidar: Bamberg County (SC)

    Data.gov (United States)

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

  19. 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...

  20. 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...

  1. 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...

  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 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...

  5. 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...

  6. 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.

  7. 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...

  8. Allegheny County Addressing StreetDictionary

    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. 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...

  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 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...

  12. Port Authority of Allegheny County Transit Stops

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — All transit stops within the Port Authority of Allegheny County's service area for the November 20, 2016 - March (TBD) 2017 schedule period.

  13. 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,...

  14. 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,...

  15. 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...

  16. 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...

  17. Low-Wage Counties Face Locational Disadvantages.

    Science.gov (United States)

    Gibbs, Robert; Cromartie, John B.

    2000-01-01

    Small populations and remoteness are the most salient features of low-wage counties. These locational attributes coincide with fewer high-wage jobs, yet low wages within industries define low-wage counties more than industry composition. Although adults in low-wage counties have less education and labor force participation overall, the role played…

  18. Forest statistics for North Alabama counties

    Science.gov (United States)

    Arnold Hedlund; J. M. Earles

    1972-01-01

    This report tabulates information from a new forest inventory of counties in northern Alabama. The tables are intended for use as a source data in compiling estimates for groups of counties. Because the sampling procedure is designed primarily to furnish inventory data for the state as a whole, estimates for individual counties have limited and variable accuracy.

  19. 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. i...

  20. Kinship Care in Walton County.

    Science.gov (United States)

    Charon, Sara L.; Nackerud, Larry

    1996-01-01

    The quality of life of maltreated children placed with relatives was examined through interviews with nine families in Walton County (Georgia) who had taken in related children. Over half of the children had experienced some improvement in home life, school performance, and their physical and mental status. Kinship care families indicated needs…

  1. Implementation of a county mobile library service model in Primorsko-goranska County

    OpenAIRE

    Črnjar, Ljiljana; Alić-Tadić, Jasenka; Čermelj, Ivan

    2008-01-01

    At the end of 2004 Rijeka City Library started a county mobile library service in the region of Gorski kotar and Matulji municipality. Intention of this paper is to present the project of implementing a county mobile library service through several aspects: analysis of a public library network covering Primorsko-goranska County before the county mobile Library started, initiating the project Mobile library service in Primorsko-goranska County, planning and organizing the collections, services...

  2. 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

  3. Suicides in San Mateo County.

    Science.gov (United States)

    Krieger, G

    1967-08-01

    The usual surveys of completed suicides, encompassing, as they do, large geographical areas, are of limited value to physicians of a particular community. The unique and differentiating characteristics of the suicides in his locale may be "washed out" in these large surveys.San Mateo County has an annual suicide rate of 17 per 100,000 and a disproportionately high incidence in persons over 65 years old. In this particular county females, widows and Orientals are more prone to suicide than has usually been reported elsewhere. Alcohol was directly or indirectly involved in a significant number of instances. Many of the persons who killed themselves were under a physician's care at the time of self-destruction. There are probably important ecological and sociological variables as well as personal factors involved in the suicidal process that are of significance to any suicide prevention program. It is urged that there be more extensive and comparative research in this important public health problem.

  4. Evaluation of a county enforcement program with a primary seat belt ordinance : St. Louis County, Missouri.

    Science.gov (United States)

    2010-05-01

    In March 2007, St. Louis County implemented a seat belt ordinance that allowed for traditional : enforcement procedures. In order to increase usage on St. Louis County roads, particularly on roadways : with fatal or disabling injury crashes, the St. ...

  5. Census County Subdivisions for the United States Virgin Islands (CENSUS.COUNTY_SUBDIV_USVI)

    Data.gov (United States)

    U.S. Environmental Protection Agency — County subdivisions are the primary divisions of counties and statistically equivalent entities for the reporting of decennial census data. They include census...

  6. BASEMAP DATABASE, CAMERON PARISH, LOUISIANA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme,...

  7. MOLECULAR EVIDENCE OF COTESIA FLAVIPES (CAMERON ...

    African Journals Online (AJOL)

    ADMIN

    conducive ecological factors existing in the country. (Emana Getu et al., 2001). At the moment C. flavipes exist in Ethiopia under natural condition, but it has to be considered in the future biological control program of cereal stem borers in the country. For operating biological control program, the taxonomy of the parasitoid.

  8. 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),...

  9. 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...

  10. 75 FR 45557 - Prevailing Rate Systems; Definition of Tulsa County, OK, and Angelina County, TX, to...

    Science.gov (United States)

    2010-08-03

    ... with NAF employees, at Outpatient Clinics in Tulsa and Angelina Counties. The Ernest Childers VA... and Angelina Counties and, based on analyses of the regulatory criteria for defining NAF wage areas.... Tulsa County, OK Based on an analysis of the regulatory criteria for defining NAF wage areas, we...

  11. 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 Beloit...

  12. Allegheny County Snow Route Centerlines (2016-2017)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows snow route responsibilities of Allegheny County-owned roads.Category: TransportationOrganization: Allegheny CountyDepartment: Geographic...

  13. Allegheny County Snow Route Centerlines (2017-2018)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows snow route responsibilities of Allegheny County-owned roads.Category: TransportationOrganization: Allegheny CountyDepartment: Geographic...

  14. Water resources of Sweetwater County, Wyoming

    Science.gov (United States)

    Mason, Jon P.; Miller, Kirk A.

    2004-01-01

    Sweetwater County is located in the southwestern part of Wyoming and is the largest county in the State. A study to quantify the availability and describe the chemical quality of surface-water and ground-water resources in Sweetwater County was conducted by the U.S. Geological Survey in cooperation with the Wyoming State Engineers Office. Most of the county has an arid climate. For this reason a large amount of the flow in perennial streams within the county is derived from outside the county. Likewise, much of the ground-water recharge to aquifers within the county is from flows into the county, and occurs slowly. Surface-water data were not collected as part of the study. Evaluations of streamflow and stream-water quality were limited to analyses of historical data and descriptions of previous investigations. Forty-six new ground-water-quality samples were collected as part of the study and the results from an additional 782 historical ground-water-quality samples were reviewed. Available hydrogeologic characteristics for various aquifers throughout the county also are described. Flow characteristics of streams in Sweetwater County vary substantially depending on regional and local basin characteristics and anthropogenic factors. Because precipitation amounts in the county are small, most streams in the county are ephemeral, flowing only as a result of regional or local rainfall or snowmelt runoff. Flows in perennial streams in the county generally are a result of snowmelt runoff in the mountainous headwater areas to the north, west, and south of the county. Flow characteristics of most perennial streams are altered substantially by diversions and regulation. Water-quality characteristics of selected streams in and near Sweetwater County during water years 1974 through 1983 were variable. Concentrations of dissolved constituents, suspended sediment, and bacteria generally were smallest at sites on the Green River because of resistant geologic units, increased

  15. 76 FR 18292 - Notice of Actions Taken at March 10, 2011, Meeting

    Science.gov (United States)

    2011-04-01

    ... Facility: Southwestern Energy Company (Mill Creek) (Docket No. 20090910), Stevens Township, Bradford County.... Project Facility: Hazleton Mine Reclamation, Hazleton City, Luzerne County, Pa. Groundwater withdrawal of... Facility: J-W Operating Company (Plum Grove Cameron 5 Strip Mine Pond), Shippen Township, Cameron County...

  16. Strengthening Public Financial Management at the County ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Creating better conditions for development The 2010 Constitution of Kenya introduced a devolved government system comprising 47 county governments. ... Counties suffer from weak financial management and accountability, human capacity constraints, and development disparities that must be addressed. The Kenya ...

  17. 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)

  18. Educational and Demographic Profile: San Mateo 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 San Mateo 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…

  19. Meat and Dairy Goats in Cache County

    OpenAIRE

    Extension, USU

    2000-01-01

    Cache County, like other counties in the Western United States, is experiencing a major transition in land use. Though we still have a host of relatively large acreage, well managed crop and livestock farms, the number of smaller acreages is increasing.

  20. Groundwater management and protection Madison County, Alabama

    Energy Technology Data Exchange (ETDEWEB)

    French, J.H.; Strunk, J.W.

    1990-07-01

    Groundwater is extremely important to Madison County as it provides nearly three quarters of the county's drinking water. In recent years, Madison County has increasingly recognized the need to protect its groundwater resource. A supply of usable groundwater is one element of a high quality environment, which can help spur economic development and provide for the needs of a growing population. Without planning protection and understanding of possible consequences, however, economic development and population pressures can cause a gradual degradation of groundwater. In April 1987, the Tennessee Valley Authority (TVA) convened a local groundwater steering group in Madison County. At the first meeting the ground agreed upon these goals: (1) to seek incorporate groundwater protection into the planning and development process for Madison County, (2) to support efforts by Madison County to obtain authority to adopt zoning ordinances and subdivision regulations, and (3) to develop a groundwater management plan for the county. This report provides essential information needed in developing a plan and is based on the following assumptions: the citizens of Madison County value the environment in which they live and wish to protect it from pollution; continued economic development is necessary for a healthy local economy; and a healthy economy can be sustained and nurtured, without degradation of the groundwater resource, through countywide planning, education, and participation.

  1. Nepotism and the Jackson County School Board

    Science.gov (United States)

    Heisler, William; Hanlin, Lesa

    2017-01-01

    In 2015, the superintendent of the Jackson County School District revised the existing nepotism policy, and, subsequently, his wife was hired to a newly created position of director of innovation at a salary nearly twice the average paid to teachers in the district. Because of community reaction, the Jackson County School Board met in special…

  2. A Profile of Suwannee County, Florida.

    Science.gov (United States)

    Beaulieu, Lionel J.

    Agriculture and the railroad were significant forces in the development of Suwannee County, Florida, formally created in 1858 but explored and settled beginning some 300 years earlier. Lumber and cotton caused an early 20th century boom in the county which soon saw the negative effects of both industries. The introduction of tobacco in the late…

  3. 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...

  4. 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...

  5. 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.

  6. 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)

  7. Cardiovascular disease risk among the Mexican American population in the Texas-Mexico border region, by age and length of residence in United States.

    Science.gov (United States)

    Salinas, Jennifer J; Abdelbary, Bassent; Rentfro, Anne; Fisher-Hoch, Susan; McCormick, Joseph

    2014-04-10

    Although the relationship between health behaviors and outcomes such as smoking and obesity with longer residence in the United States among Mexican American immigrants is established, the relationship between length of residency in the United States and risk for cardiovascular disease (CVD) is not fully understood. The objective of this study was to determine the relationship between immigrant status, length of residence in the United States, age, and CVD markers in a sample of Mexican American adults living in Brownsville, Texas. We categorized participants in the Cameron County Hispanic Cohort study as immigrants in the United States for 10 years or less, immigrants in the United States for more than 10 years, or born in the United States. We conducted logistic and ordinary least squares regression for self-reported chronic conditions and CVD biomarkers. We found bivariate differences in the prevalence of self-reported conditions and 1 CVD biomarker (low-density lipoprotein cholesterol) by length of residence in the middle (41-64 y) and younger (18-40 y) age groups. After adjusting for covariates, the following varied significantly by immigrant status: stroke and high cholesterol (self-reported conditions) and diastolic blood pressure, systolic blood pressure, total cholesterol, and low-density lipoprotein cholesterol (CVD biomarkers). The association between immigrant status, length of residence in the United States, and CVD markers varied. The effect of length of residence in the United States or immigrant status may depend on age and may be most influential in middle or older age.

  8. The definition of insulin resistance using HOMA-IR for Americans of Mexican descent using machine learning.

    Science.gov (United States)

    Qu, Hui-Qi; Li, Quan; Rentfro, Anne R; Fisher-Hoch, Susan P; McCormick, Joseph B

    2011-01-01

    The lack of standardized reference range for the homeostasis model assessment-estimated insulin resistance (HOMA-IR) index has limited its clinical application. This study defines the reference range of HOMA-IR index in an adult Hispanic population based with machine learning methods. This study investigated a Hispanic population of 1854 adults, randomly selected on the basis of 2000 Census tract data in the city of Brownsville, Cameron County. Machine learning methods, support vector machine (SVM) and Bayesian Logistic Regression (BLR), were used to automatically identify measureable variables using standardized values that correlate with HOMA-IR; K-means clustering was then used to classify the individuals by insulin resistance. Our study showed that the best cutoff of HOMA-IR for identifying those with insulin resistance is 3.80. There are 39.1% individuals in this Hispanic population with HOMA-IR>3.80. Our results are dramatically different using the popular clinical cutoff of 2.60. The high sensitivity and specificity of HOMA-IR>3.80 for insulin resistance provide a critical fundamental for our further efforts to improve the public health of this Hispanic population.

  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. Colorectal cancer screening among Latinos from U.S. cities along the Texas-Mexico border.

    Science.gov (United States)

    Fernandez, Maria E; Wippold, Rosario; Torres-Vigil, Isabel; Byrd, Theresa; Freeberg, Diamond; Bains, Yadvindera; Guajardo, Jessica; Coughlin, Steven S; Vernon, Sally W

    2008-03-01

    Colorectal cancer (CRC) screening rates are comparatively low for U.S. Hispanics. To learn more about the factors influencing CRC screening among Hispanics living along the U.S.-Mexico border, 12 focus groups were conducted with Hispanic men and women aged 50 years and older in three Texas counties; Cameron County (Brownsville), Webb County (Laredo), and El Paso County, (El Paso). The focus group guide contained questions about health care behavior, knowledge about CRC, experiences with cancer, and factors that influence CRC screening. A total of 92 individuals participated with the majority aged 50-69 (75%). Twenty percent were born in the United States and 51% had lived in the United States for more than 20 years. Participants had low levels of education, income, and insurance coverage. The analysis revealed several overarching and contextual themes relating to knowledge, attitudes, beliefs, and emotions about cancer and CRC screening. A prevalent theme that emerged from all groups was frustration and a lack of confidence in the U.S. healthcare system. Few participants had been advised by their providers to obtain CRC screening. Lack of patient knowledge about colorectal cancer and screening appeared to be a critical factor influencing screening. Themes about death and pain due to cancer were prevalent as were cultural factors such as machismo and embarrassment. System level barriers such as cost, medical insurance and transportation also impacted screening. These findings suggest that strategies are needed to educate Hispanic residents of border communities about CRC and to motivate them to undergo CRC screening.

  12. 77 FR 51556 - Sheldon National Wildlife Refuge, Humboldt County and Washoe County, NV; Lake County, OR; Final...

    Science.gov (United States)

    2012-08-24

    ..., wildlife observation and photography, and environmental education and interpretation. We will review and..., photography, and environmental education and interpretation would be maintained or improved. Limited rock and... County, OR; Final Comprehensive Conservation Plan and Environmental Impact Statement AGENCY: Fish and...

  13. 7 CFR 7.11 - County committee members.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 1 2010-01-01 2010-01-01 false County committee members. 7.11 Section 7.11... CONSERVATION STATE, COUNTY AND COMMUNITY COMMITTEES § 7.11 County committee members. (a) County committee members elected in accordance with § 7.9 of this part shall hold office for a term of three years or until...

  14. Geology and ground-water resources of Nobles County, and part of Jackson County, Minnesota

    Science.gov (United States)

    Norvitch, Ralph F.

    1964-01-01

    The area described in this report is in southwestern Minnesota, about 130 miles southwest of Minneapolis and St. Paul. It includes; Nobles County and the western tier of townships in Jackson County, a total of 864 square miles. Worthington, the Nobles County seat, is the largest city in the area, having a population of 9,015 persons (1960 census). Farming is the leading occupation, and food processing is the major industry. Critical water shortages have occurred in several parts of the area.

  15. 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,...

  16. 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,...

  17. Basemap Framework Submission for Warren 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...

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

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — 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...

  19. 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...

  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. 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...

  2. VT Data - Housing 2016, Chittenden County

    Data.gov (United States)

    Vermont Center for Geographic Information — 2016 spatial representation of residential structures and number of dwelling units (see use limitations) in Chittenden County. This is an updated version of the 2015...

  3. 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 of...

  4. 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...

  5. 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...

  6. 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,...

  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. 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....

  9. 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...

  10. 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.

  11. 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...

  12. 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...

  13. Schools K-12 - Volusia County Schools (Points)

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Volusia County School Locations NOTE: This file includes closed schools designated in the Name field with (Closed) after the school name and 0 in the Schoolcode...

  14. 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...

  15. 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).

  16. 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,...

  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: 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,...

  19. 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,...

  20. 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,

  1. 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.

  2. Edentulism in high poverty rural counties.

    Science.gov (United States)

    Mitchell, Jordan; Bennett, Kevin; Brock-Martin, Amy

    2013-01-01

    To examine the differences in oral health status among residents of high-poverty counties, as compared to residents of other rural or urban counties, specifically on the prevalence of edentulism. We used the 2005 Behavioral Risk Factor Surveillance System (BRFSS) and the 2006 Area Resource File (ARF). All analyses were conducted with SAS and SAS-callable SUDAAN, in order to account for weighting and the complex sample design. Characteristics significantly related to edentulism include: geographic location, gender, race, age, health status, employment, insurance, not having a usual source of care, education, marital status, presence of chronic disease, having an English interview, not deferring care due to cost, income, and dentist saturation within the county. Significant associations between high-poverty rural and other rural counties and edentulism were found, and other socioeconomic and health status indicators remain strong predictors of edentulism. © 2012 National Rural Health Association.

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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,...

  9. 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,...

  10. 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,...

  11. 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,...

  12. 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,...

  13. 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,...

  14. 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,...

  15. 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,...

  16. 2016 Martin County QL2 Lidar (FL)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Martin County FL QL2 Lidar Acquisition and Processing Production Task Task Order No. G14PS00574 Woolpert Order No. 76001 Contractor: Woolpert, Inc. This task is for...

  17. 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...

  18. 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...

  19. 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.

  20. 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...

  1. 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...

  2. Basemap Framework Submission for Fremont 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...

  3. Developing county bridge repair and retrofit techniques.

    Science.gov (United States)

    2013-08-01

    Oklahoma rated first in the Nation in the percentage of bridges that are structurally deficient or : functionally obsolete. According to Federal Highway Administration data, Oklahoma uses : approximately 23,250 bridges maintained by state, County, Ci...

  4. 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...

  5. 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...

  6. 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)...

  7. Basemap Framework Submission for Poweshiek 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...

  8. 2010 ARRA Lidar: 4 Southeast Counties (MI)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TASK NAME: Southeast Michigan LiDAR LiDAR Data Acquisition and Processing Production Task- Monroe, St. Clair, Macomb, and Livingston Counties SEMCOG CONTRACT:...

  9. 2011 ARRA Lidar: Willacy County (TX)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This task order is for planning, acquisition, processing, and derivative products of LiDAR data to be collected for a portion of Willacy County, Texas. LiDAR data,...

  10. 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...

  11. 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...

  12. 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...

  13. 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,...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 75 FR 49016 - County of Greenville, S.C.-Acquisition Exemption-Greenville County Economic Development Corporation

    Science.gov (United States)

    2010-08-12

    ... Greenville County Economic Development Corporation (GCEDC) approximately 11.8 miles of rail line between... accordance with the National Trails System Act, 16 U.S.C. 1247(d). See Greenville County Economic Development... Surface Transportation Board County of Greenville, S.C.--Acquisition Exemption--Greenville County Economic...

  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. Relationship between Job Satisfaction of County Extension Staff and the Level of Emotional Intelligence of County Extension Directors

    Science.gov (United States)

    Villard, Judith A.; Earnest, Garee W.

    2006-01-01

    This descriptive-correlational study used a census of Ohio State University Extension county directors and a random sample of county staff throughout the State of Ohio. Data were collected utilizing Bar-On's Emotional Intelligence Quotient instrument (county directors) and Warner's job satisfaction instrument (county staff). The study examined the…

  1. Hispanic health status in Orange County, Florida.

    Science.gov (United States)

    Studnicki, James; Berndt, Donald J; Luther, Stephen L; Fisher, John W; van Caulil, Karen; Brennan, Margaret J; Martinez, Yolanda G; Clarke, Pete

    2005-01-01

    To assess the health status of the Hispanic population of Orange County, Florida. The methodology utilized secondary data for 66 ethnically identified indicators in a comparative framework applied for a 5-year period (1997-2001). Orange County Hispanics are younger with lower per capita income than their Florida peers, less likely to be White, and much more likely to be of Puerto Rican origin. Relative to the Hispanic populations in the selected peer counties and statewide, Orange County Hispanics have higher age-adjusted death rates for a majority of disease categories and conditions, such as breast, lung, and prostate cancers; chronic liver disease and cirrhosis; diabetes mellitus; pneumonia and influenza; stroke; acquired immunodeficiency syndrome; motor vehicle accidents; and infant, neonatal, and child mortality. Orange County Hispanics did better in comparison to Orange non-Hispanics, with lower age-adjusted death rates for major causes of death such as heart disease, cancer, and stroke. However, for many indicators, the 5-year trends for Orange County Hispanics are moving in an unfavorable direction in contrast to the trends for non-Hispanics, which are either stable or improving. Comparative assessments of Hispanic populations using secondary data enable the development of a comprehensive health status profile. However, this approach is currently constrained by the limited number of ethnically identified indicators and, especially for Hispanics, problems in the accuracy and consistency of the assignment to racial categories and subsequent reporting.

  2. 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...

  3. 75 FR 26709 - Clarke County Water Supply Project, Clarke County, IA

    Science.gov (United States)

    2010-05-12

    ... water management (rural water supply), public recreation, public fish and wildlife, and watershed...] [FR Doc No: 2010-11227] DEPARTMENT OF AGRICULTURE Natural Resources Conservation Service Clarke County Water Supply Project, Clarke County, IA AGENCY: Natural Resources Conservation Service. ACTION: Notice...

  4. Youth Representation on County Government Committees: Youth in Governance in Kenosha County, Wisconsin

    Science.gov (United States)

    Calvert, Matthew; de Montmollin, John; Winnett, Tedi

    2015-01-01

    The Kenosha County Youth in Governance program was created to build leadership skills and civic engagement opportunities for high school-aged students by placing two youth representatives on each of the Kenosha County Board of Supervisors standing committees. In reviewing data from 3 years of youth participants, the program was effective in…

  5. Citrus County Schools Copyright Guidelines Recommended by the Citrus County Association of School Media Specialists.

    Science.gov (United States)

    Citrus County School District, Inverness, FL.

    This document contains copyright guidelines determined appropriate for the Citrus County School System (Florida) by the Citrus County Association of School Media Specialists in May, 1992. These guidelines are based on interpretation and understanding of current copyright law as applied to education and implemented in school districts in the United…

  6. Coping with Resource Management Challenges in Mumias Sub-County, Kakamega County, Kenya

    Science.gov (United States)

    Anyango, Onginjo Rose; Orodho, John Aluko

    2016-01-01

    The gist of the study was to examine the main coping strategies used to manage resources in public secondary schools in Mumias Sub-County, Kakamega County, Kenya. The study was premised on Hunts (2007) theory on project management. A descriptive survey design was adopted. A combination of purposive and simple random sampling techniques were used…

  7. Water resources of King County, Washington

    Science.gov (United States)

    Richardson, Donald; Bingham, J.W.; Madison, R.J.; Williams, R.

    1968-01-01

    Although the total supply of water in King County is large, water problems are inevitable because of the large and rapidly expanding population. The county contains a third of the 3 million people in Washington, most of the population being concentrated in the Seattle metropolitan area. King County includes parts of two major physiographic features: the western area is part of the Puget Sound Lowland, and the eastern area is part of the Cascade Range. In these two areas, the terrain, weather, and natural resources (including water) contrast markedly. Average annual precipitation in the county is about 80 inches, ranging from about 30 inches near Puget Sound to more than 150 inches in parts of the Cascades. Annual evapotranspiration is estimated to range from 15 to 24 inches. Average annual runoff ranges from about 15 inches in the lowlands to more than 100 inches in the mountains. Most of the streamflow is in the major basins of the county--the Green-Duwamish, Lake Washington, and Snoqualmie basins. The largest of these is the Snoqualmie River basin (693 square miles), where average annual runoff during the period 1931-60 was about 79 inches. During the same period, annual runoff in the Lake Washington basin ( 607 square miles) averaged about 32 inches, and in the Green-Duwamish River basin (483 square miles), about 46 inches. Seasonal runoff is generally characterized by several high-flow periods in the winter, medium flows in the spring, and sustained low flows in the summer and fall. When floods occur in the county they come almost exclusively between October and March. The threat of flood damage is greatest on the flood plaits of the larger rivers, but in the Green-Duwamish Valley the threat was greatly reduced with the completion of Howard A. Hanson Dam in 1962. In the Snoqualmie River basin, where no such dam exists, the potential damage from a major flood increases each year as additional land is developed in the Snoqualmie Valley. 0nly moderate amounts of

  8. Sistemática, filogenia e distribuição geográfica das espécies sul-americanas de Centris (Paracentris Cameron, 1903 e de Centris (Penthemisia Moure, 1950, incluindo uma análise filogenética do "grupo Centris" sensu Ayala, 1998 (Hymenoptera, Apoidea, Centridini

    Directory of Open Access Journals (Sweden)

    Fernando César Vieira Zanella

    2002-01-01

    Full Text Available Systematics, phylogeny and geographical distribution of the South American species of Centris (Paracentris Cameron, 1903, and Centris (Penthemisia Moure, 1950, including a phylogenetic analysis of the "Centris group" sensu Ayala, 1998 (Hymenoptera, Apoidea, Centridini. A cladistic analysis with the objective of testing the hypothesis of monophily of Centris (Paracentris Cameron, 1903, and of studying its phylogenetic relationships with the other subgenera that belong to the Centris group, sensu Ayala, 1998, and the relationships among the species that occur in South America, is presented. Centris (Paracentris is a group of New World bees of amphitropical distribution, especially diversified in the Andes and in the xeric areas of South and North America. Thirty-one species were included in the analysis, four considered as outgroup, and 49 characters, all from external morphology and genitalia of adult specimens. Parsimony analyses with equal weights for the characters and successive weighting were performed with the programs NONA and PAUP, and analyses of implied weighting with the program PeeWee. The strict consensus among the trees obtained in all the analyses indicates that C. (Paracentris, as previously recognized, is a paraphyletic group. In order to eliminate that condition, the subgenera C. (Acritocentris, C. (Exallocentris and C. (Xerocentris, all described by SNELLING (1974 are synonymized under C. (Paracentris. The subgenus C. (Penthemisia Moure, 1950, previously considered a synonym of C. (Paracentris, is reinstated, but in a more restricted sense than originally proposed and with the following species: Centris brethesi Schrottky, 1902; C. buchholzi Herbst, 1918; C. chilensis (Spinola, 1851, C. mixta mixta Friese, 1904, and C. mixta tamarugalis Toro & Chiappa, 1989. Centris mixta, previously recognized as the only South American species of the subgenus C. (Xerocentris, a group supposedly amphitropical, came out as the sister-species of

  9. Mansonia titillans: New Resident Species or Infrequent Visitor in Chatham County, Georgia, and Beaufort County, South Carolina, USA.

    Science.gov (United States)

    Moulis, Robert A; Peaty, Laura F A W; Heusel, Jeffrey L; Lewandowski, Henry B; Harrison, Bruce A; Kelly, Rosmarie; Hager, Elizabeth J

    2015-06-01

    In September, October, and November 2014, adult Mansonia titillans were collected at 4 separate sites near Savannah in Chatham County, Georgia, and 1 site in Muscogee County, GA, during routine mosquito surveillance. Although previously recorded from Beaufort County, SC, and several inland southern Georgia counties, recent reports of this species from coastal Georgia or South Carolina are lacking. These newly captured Ma. titillans specimens represent the first documented records for Muscogee County and Chatham County, GA, and may indicate a recent northern expansion or reintroduction of this species along the Georgia and South Carolina coast.

  10. 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.

  11. 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.

  12. Geologic Map of Loudoun County, Virginia

    Science.gov (United States)

    Southworth, Scott; Burton, William C.; Schindler, J. Stephen; Froelich, Albert J.

    2006-01-01

    Introduction The geology of Loudoun County, Va., was mapped from 1988 through 1991 under a cooperative agreement between the U.S. Geological Survey (USGS) and the Loudoun County Office of Mapping and Geographic Information. This geologic map was compiled in 1993 from a series of detailed published and unpublished field investigations at scales of 1:12,000 and 1:24,000. Some of these same data were compiled as a digital geologic map at 1:100,000 scale (Burton and others, 1992a) and were the basis for a cost-benefit analysis of the societal value of geologic maps (Bernknopf and others, 1993).

  13. Outsourcing Maintenance Operations: Experiences from Elkhart County Highway

    OpenAIRE

    Taylor, Jeff; Yoder, Mike

    2017-01-01

    In 2014 the Elkhart County Highway Department underwent a major reorganization that included a reduction in work force and outsourcing certain maintenance functions. Join us to learn what Elkhart County has experienced from the challenges and benefits of outsourcing.

  14. 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...

  15. 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),...

  16. 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...

  17. 75 FR 62627 - Environmental Impact Statement; Davis County, UT

    Science.gov (United States)

    2010-10-12

    ... Federal Highway Administration Environmental Impact Statement; Davis County, UT AGENCY: Federal Highway... that an Environmental Impact Statement (EIS) will be prepared for proposed transportation improvements in Davis County, Utah. FOR FURTHER INFORMATION CONTACT: Edward Woolford, Environmental Program...

  18. 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...

  19. 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...

  20. County and Parish Boundaries, This was created and maintained by Johnson County Records and Tax Administration and is updated when changes occur to county boundaries, Published in 2007, Johnson County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — County and Parish Boundaries dataset current as of 2007. This was created and maintained by Johnson County Records and Tax Administration and is updated when changes...

  1. 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...

  2. Allegheny County Voting District Boundaries (Fall 2016 - Spring 2017)

    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...

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

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Tax liens are a method the government uses to secure an interest in unpaid tax debt. This dataset represents information about county, municipal, school district,...

  4. Public Lands, Other - Volusia County Public Land Survey

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Coded arcs for Public Land Surveys in Volusia County including Township, Range, and Section lines and County Boundary. This layer matches the Property Appraiser's...

  5. 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...

  6. Sidewalk data in King County's urban growth boundary.

    Science.gov (United States)

    2013-06-01

    This report describes the development of geospatial sidewalk data for the King County Urban : Growth Area. Prior to the development of this data set, sidewalk data in King County were limited to : select jurisdictions and existed in multiple, sometim...

  7. 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....

  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. 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...

  10. 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...

  11. 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...

  12. 76 FR 31297 - Trinity County Resource Advisory Committee

    Science.gov (United States)

    2011-05-31

    ... Forest Service Trinity County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Trinity County Resource Advisory Committee (RAC) will meet in Weaverville...:30 p.m. ADDRESSES: The meetings will be held at the Trinity County Office of Education, 201 Memorial...

  13. 75 FR 34421 - Trinity County Resource Advisory Committee

    Science.gov (United States)

    2010-06-17

    ... Forest Service Trinity County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Trinity County Resource Advisory Committee (RAC) met at the Trinity County Office of... of 2000 and vote on projects for recommendation to the Forest Supervisor of the Shasta-Trinity...

  14. 76 FR 23276 - Trinity County Resource Advisory Committee

    Science.gov (United States)

    2011-04-26

    ... Forest Service Trinity County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Trinity County Resource Advisory Committee (RAC) will meet in Weaverville.... ADDRESSES: The meeting will be held at the Trinity County Office of Education, 201 Memorial Drive...

  15. 77 FR 46682 - Trinity County Resource Advisory Committee

    Science.gov (United States)

    2012-08-06

    ... Forest Service Trinity County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Trinity County Resource Advisory Committee (RAC) will meet in Weaverville... meeting will be held at the Trinity County Office of Education, 201 Memorial Drive, Weaverville...

  16. School Progress Report 2012. Montgomery County Public Schools

    Science.gov (United States)

    Montgomery County Public Schools, 2013

    2013-01-01

    The 2012 School Progress Report for Montgomery County Public Schools (MCPS) provides state, county, and individual school performance data, as well as information on student attendance, high school graduation rates, and the professional qualifications of teachers at the state, district, and school levels. Montgomery County primary schools are…

  17. 75 FR 54419 - Environmental Impact Statement: Yellowstone County, MT

    Science.gov (United States)

    2010-09-07

    ... Federal Highway Administration Environmental Impact Statement: Yellowstone County, MT AGENCY: Federal... highway project in Yellowstone County, Montana. FOR FURTHER INFORMATION CONTACT: Brian Hasselbach, Right... (I-90) and Old Highway 312 in or near the city of Billings, Yellowstone County, Montana. FHWA...

  18. 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, the...

  19. 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....

  20. 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...

  1. 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...

  2. An Environmental Scan of Northern Alameda County.

    Science.gov (United States)

    Galloro, Nicholas

    A study was conducted to provide an overview of the demographic and economic characteristics of the geographical area served by the Peralta Community College District and to provide population and economic projections up to the year 2000. Historical data from the Alameda County Planning Commission, census data, and projections from the Association…

  3. Kings Covered Bridge rehabilitation, Somerset County, PA

    Science.gov (United States)

    William J. Collins; David C. Fischetti; Arnold M. Jr. Graton; Len Lichvar; Branden Diehl; James P. Wacker; Ed Cesa; Ed Stoltz; Emory L. Kemp; Samer H. Petro; Leon Buckwalter; John McNamara

    2005-01-01

    Kings Covered Bridge over Laurel Creek in Somerset County, Pennsylvania is approximately 114-foot clear span multiple Kingpost Truss with nail-laminated arches. This timber bridge is historically significant because it retains its original features of the 1860’s since the 1930s when it was spared from modernization by the construction of an adjacent steel highway...

  4. Leadership Development Model for Shelby County Schools

    Science.gov (United States)

    Cobia, F. Jane; Smith, Elizabeth F.; Wood, Leah Anne

    2016-01-01

    The purpose of this study was to examine factors impacting program quality in leadership development programs as a means to inform the Shelby County School System of effective practices in leadership development. The qualitative research design method was used to explore two school systems identified through a comprehensive review of research as…

  5. 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.

  6. Forest Land In Indiana Counties, 1967

    Science.gov (United States)

    Burton L. Essex

    1968-01-01

    Commercial forest land has declined slightly from 4.1 million acres in 1950 to 3.9 million acres in 1967. The more heavily forested counties are in the southern half of the State where forest land has been increasing

  7. GAMBITS, EDUCATIONAL INNOVATIONS IN SAN MATEO COUNTY.

    Science.gov (United States)

    BUTLER, CORNELIUS E.

    DESCRIBED ARE 12 INNOVATIVE PACE PROJECTS IN SAN MATEO COUNTY, CALIFORNIA, WHICH WERE DEVELOPED WITH ELEMENTARY AND SECONDARY EDUCATION ACT TITLE III FUNDS. AMONG THE PROJECTS ARE--A PRESCHOOL CENTER, AN INDUSTRIAL ARTS PROGRAM, AN ELEMENTARY SCHOOL MUSIC PROGRAM, AND ADULT JOB TRAINING. OTHERS ARE--AN IDENTIFICATION AND INTERVENTION PROJECT FOR…

  8. Chapter 4: Managing chaparral in Yavapai County

    Science.gov (United States)

    Leonard F. DeBano; Malchus B. Baker; Steven T. Overby

    1999-01-01

    Yavapai County in central Arizona supports extensive stands of chaparral in the Bradshaw Mountains, Mingus Mountain, and the Santa Maria Range. Chaparral occupies about 400,300 acres of the Prescott National Forest (Anderson 1986). These chaparral communities provide a wide range of benefits including watershed protection, grazing for wildlife and domestic animals,...

  9. 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...

  10. 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.

  11. 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…

  12. Geothermal development plan: northern Arizona counties

    Energy Technology Data Exchange (ETDEWEB)

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

    1982-08-01

    The Northern Counties Area Development Plan evaluated the regional market potential for utilizing geothermal energy. This study identified five potential geothermal resource areas, four of which have low temperature (<90{sup 0}C, 194{sup 0}F) potential and one possible igneous system. The average population growth rate in the Northern Counties is expected to be five percent per year over the next 40 years, with Mohave and Yavapai Counties growing the fastest. Rapid growth is anticipated in all major employment sectors, including trade, service, manufacturing, mining and utilities. A regional energy use analysis is included, containing information on current energy use patterns for all user classes. Water supplies are expected to be adequate for expected growth generally, though Yavapai and Gila Counties will experience water deficiencies. A preliminary district heating analysis is included for the towns of Alpine and Springerville. Both communities are believed located on geothermal resource sites. The study also contains a section identifying potential geothermal resource users in northern Arizona.

  13. Current status of Enterobius vermicularis infection in primary schoolchildren in Miaoli County and Taichung County, Taiwan.

    Science.gov (United States)

    Wang, Cheng-Chieh; Lee, Yuan-Fang; Chang, Chih-Cheng; Lee, Nie-Sue; Chen, Po-Yen; Huang, Fang-Liang; Liou, Nuo-Wei

    2009-10-01

    No epidemiological survey of the prevalence of Enterobius vermicularis infection in Miaoli County and Taichung County has been conducted. This epidemiological survey was performed to describe the profile of E. vermicularis infection in schoolchildren in Miaoli County and Taichung County. The first part of this study was conducted between November 2005 and February 2006 in Miaoli County. 44,071 primary schoolchildren from 18 districts were examined by 2 consecutive-day adhesive cellophane perianal swabs to estimate the infection rate. The second part was performed between October 2006 and January 2007 in Taichung County. 24,382 primary schoolchildren from 14 districts were examined. In Miaoli County, the infection rate was 2.39% (1054/44,071). The infection rate was highest in the Taian (6.69%; 20/299), Shytarn (4.49%; 11/245), and Dahu townships (3.6%; 40/1111). In Taichung County, the infection rate was 2.95% (720/24,382). The infection rate was highest in the Da-an (5.46%; 26/476) and Heping townships (4.48%; 9/201). The infection rate for a family with > or =3 children was significantly higher than that for a family with < or =2 children (p = 0.007). The frequency of washing linen and cleaning bedclothes significantly affected the infection rate of enterobiasis (p < 0.01). The efficacy rate for mebendazole was 96%, with no difference between 1 and 2 doses. The number of children per family and the frequency of washing linen and cleaning bedclothes were the most important factors for transmission of pinworm infection among the groups surveyed.

  14. 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

  15. 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.

  16. County Boundaries clipped to shoreline from Teleatlas, NA for Regions 1, 2 and 3 in EPA Region 2 Oracle/Spatial/SDE Database [TANA.COUNTY

    Data.gov (United States)

    U.S. Environmental Protection Agency — R2GIS Combined county boundary data from TANA, Navteq and Census: TANA county boundaries.(static.R2GIS.TANA_BOUNDARY_COUNTY) for all of Region 2 except the Virgin...

  17. 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.

  18. GENDER DEMOGRAPHIC DISPARITIES IN BACAU COUNTY

    Directory of Open Access Journals (Sweden)

    Oana Ancuta Stangaciu

    2014-12-01

    Full Text Available Gender demographic disparities existing in Bacau County were determined by means of some demographic indicators such as: population, natural growth, live births, marriages, divorces, indicators which have been broken down by gender. The assessment of the disparities between men and women from the point of view of the demographic phenomena emphasize the fact that on the level of Bacau County there is a surplus of female population, as during the whole period subjected to the analysis, the positive and respectively the negative natural growth for the male population were lower and higher respectively than the one registered in the case of the female population. The birth rate, marriage rate and divorce rate phenomena also changed significantly after 1990 ; thus, the average age of marriage increased, and the gender difference also had a certain growth, which caused a shift in the fertility intensity from the age group 20-24 to the very next one - the 25-29 age group.

  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. Dutchess County pyrolysis project. Final summary report

    Energy Technology Data Exchange (ETDEWEB)

    1979-07-01

    The purpose of this study was to develop a design and cost estimate for a resource recovery facility for Duchess County, NY which would use the Purox pyrolysis process to produce fuel gas. Information is included on solid waste and sewage sludge quantities and characteristics, site investigations, and products, the potential markets for recovered materials and energy, the plant design features and cost, and the overall economic viability of the project. (LCL)

  1. 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.

  2. 7 CFR 1220.605 - Farm Service Agency County Executive Director.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Farm Service Agency County Executive Director. 1220... § 1220.605 Farm Service Agency County Executive Director. Farm Service Agency County Executive Director... policies of the FSA County Committee and to be responsible for the day-to-day operation of the FSA county...

  3. 7 CFR 1280.607 - Farm Service Agency County Executive Director.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 10 2010-01-01 2010-01-01 false Farm Service Agency County Executive Director. 1280....607 Farm Service Agency County Executive Director. Farm Service Agency County Executive Director, also... FSA County Committee and to be responsible for the day-to-day operation of the FSA county office, or...

  4. 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.

  5. 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.

  6. Parcels and Land Ownership - Volusia County Parcels (Polygons)

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Parcel Ownership Polygon Layer: Polygons showing property ownership created from the "master" subdivision base map for Volusia County. Multiple lots and parcels...

  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. 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 €.

  9. A Case Study of the County School Facility Tax Initiative in Mary County, Illinois

    Science.gov (United States)

    Hughes, Vince L.; Reeves, Alison G.; Puchner, Laurel

    2017-01-01

    K-12 Illinois public school facilities need to be repaired and rebuilt. The County School Facility Occupation Tax (CSFT) was made law in 2007 in Illinois to help provide funding for Illinois public school facilities. This single case study, qualitative research, outlines findings from 86, face-to- face, phone and email interviews and approximately…

  10. Land use map, Finney County, Kansas

    Science.gov (United States)

    Morain, S. A. (Principal Investigator); Williams, D. L.; Coiner, J. C.

    1973-01-01

    The author has identified the following significant results. Methods for the mapping of land use in agricultural regions are developed and applied to preparation of a land use map of Finney County, Kanas. Six land use categories were identified from an MSS-5 image. These categories are: (1) large field irrigation; (2) small field irrigation; (3) dryland cultivation; (4) rangeland; (5) cultural features; and (6) riverine land. The map is composed of basically homogeneous regions with definable mixtures of the six categories. Each region is bounded by an ocularly evident change in land use.

  11. LPRS by State, County, Country of Birth and Major Class of Admission 2016

    Data.gov (United States)

    Department of Homeland Security — These tables offer county-level data for the top 200 counties of residence of new LPRs by major class of admission and by country of birth. OIS assigns county of...

  12. LPRS by State, County, Country of Birth and Major Class of Admission 2011

    Data.gov (United States)

    Department of Homeland Security — These tables offer county-level data for the top 200 counties of residence of new LPRs by major class of admission and by country of birth. OIS assigns county of...

  13. 77 FR 65843 - Proposed Flood Elevation Determinations for Montgomery County, Alabama and Incorporated Areas

    Science.gov (United States)

    2012-10-31

    ... Montgomery County, Alabama and Incorporated Areas AGENCY: Federal Emergency Management Agency, DHS. ACTION... proposed rule concerning proposed flood elevation determinations for Montgomery County, Alabama and... sources in Montgomery County, Alabama. FEMA is withdrawing the proposed rulemaking and intends to publish...

  14. 77 FR 66165 - Proposed Flood Elevation Determinations for Scotland County, NC, and Incorporated Areas

    Science.gov (United States)

    2012-11-02

    ... Determinations for Scotland County, NC, and Incorporated Areas AGENCY: Federal Emergency Management Agency, DHS... its proposed rule concerning proposed flood elevation determinations for Scotland County, North... or more flooding sources in Scotland County, North Carolina. FEMA is withdrawing the proposed...

  15. 75 FR 71143 - Notice of Realty Action: Direct Sale of Public Land in Blaine County, ID

    Science.gov (United States)

    2010-11-22

    .... The Animal Shelter is a non-profit corporation that provides public benefits to Blaine County (County..., administration of the county dog licensing program, and an informational and educational center. The Animal...

  16. 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)

  17. 77 FR 55496 - Notice of Temporary Closure of Public Lands in Eastern Lassen County, California, and Western...

    Science.gov (United States)

    2012-09-10

    ..., (combined Lassen County Road 522), the Stage Road (Lassen County Road 504), Marr Road (Lassen County Road... Lassen County Road 526 (the Marr Road) to the junction with Nevada State Highway 447. The Ramhorn Springs...

  18. An Environmental Scan of Northern Alameda County. Revised.

    Science.gov (United States)

    Peralta Community Coll. District, Oakland, CA. Office of Research, Planning and Development.

    An overview is provided of the demographic and economic characteristics of the geographical area defined by the Peralta Community College District's boundaries in Northern Alameda County, California. In addition, projections are presented concerning the population and economy of the county until the year 2005. Highlighted findings of the…

  19. District logistics analysis of the Viborg county case study

    DEFF Research Database (Denmark)

    Hansen, Leif Gjesing; Lise Drewes, Nielsen

    The paper presents results of  the logistical flows and logistical organisation used in a district logistics analysis in Viborg county, Denmark.......The paper presents results of  the logistical flows and logistical organisation used in a district logistics analysis in Viborg county, Denmark....

  20. 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...

  1. Milwaukee County User-Side Subsidy Program : A Case Study

    Science.gov (United States)

    1982-09-01

    Milwaukee County, Wisconsin, instituted a user-side subsidy program in June 1978 for handicapped users of taxi and chair-car services. The program is funded entirely by county and state contributions. A distinctive feature of the program is that, unl...

  2. Brucellosis in Terekeka County, Central Equatoria State, Southern ...

    African Journals Online (AJOL)

    Objectives: To identify factors associated with Brucellosis in patients attending Terekeka Health Facility, Terekeka County, Central Equatoria State, Southern Sudan and to evaluate the utility of the rapid test kit Euracil®. Design: A facility based case-control study. Setting: Terekeka Health Facility, Terekeka County, Central ...

  3. Developing a regional energy plan for two counties in Ireland

    DEFF Research Database (Denmark)

    Connolly, David; Mathiesen, Brian Vad; Lund, Henrik

    2011-01-01

    facilities begin to develop. In this paper, a regional energy plan is begun for two counties located on the west coast of Ireland to identify how they can reduce their overall CO2 emission by 20% by the year 2020. The two counties in question are called Limerick and Clare, which have a combined population...

  4. Patterns of gun deaths across US counties 1999-2013.

    Science.gov (United States)

    Kalesan, Bindu; Galea, Sandro

    2017-05-01

    We examined the socio-demographic distribution of gun deaths across 3143 counties in 50 United States' states to understand the spatial patterns and correlates of high and low gun deaths. We used aggregate counts of gun deaths and population in all counties from 1999 to 2013 from the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research (WONDER). We characterized four levels of gun violence, as distinct levels of gun death rates of relatively safe, unsafe, violent, and extremely violent counties, based on quartiles of 15-year county-specific gun death rates per 100,000 and used negative binomial regression models allowing clustering by state to calculate incidence rate ratios and 95% confidence intervals (95% CIs). Most states had at least one violent or extremely violent county. Extremely violent gun counties were mostly rural, poor, predominantly minority, had high unemployment rate and homicide rate. Overall, homicide rate was significantly associated with gun deaths (incidence rate ratios = 1.08, 95% CI = 1.06-1.09). In relatively safe counties, this risk was 1.09 (95% CI = 1.05-1.13) and in extremely violent gun counties was 1.03 (95% CI = 1.03-1.04). There are broad differences in gun death rates across the United States representing different levels of gun death rates in each state with distinct socio-demographic profiles. Copyright © 2017 Elsevier Inc. All rights reserved.

  5. Survey of San Mateo County High School, 1984-1985.

    Science.gov (United States)

    Fontana, Valerie

    In fall 1984, a survey was conducted of students, parents, and faculty of the San Mateo County high school community to assess their attitudes about community college education and the San Mateo County Community Colleges (SMCCC). Ten of the 30 public, private, and parochial high schools participated in the survey, including one private school and…

  6. School Progress Report 2013. Montgomery County Public Schools

    Science.gov (United States)

    Montgomery County Public Schools, 2014

    2014-01-01

    The 2013 School Progress Report for Montgomery County Public Schools (MCPS) provides state, county, and individual school performance data, as well as information on student attendance, high school graduation rates, and the professional qualifications of teachers at the state, district, and school levels for the 2012-2013 school year. Montgomery…

  7. 75 FR 22892 - Environmental Impact Statement: Salt Lake County, UT

    Science.gov (United States)

    2010-04-30

    ... Federal Highway Administration Environmental Impact Statement: Salt Lake County, UT AGENCY: Federal... transportation improvement project in Salt Lake County, Utah. FOR FURTHER INFORMATION CONTACT: Edward Woolford, Environmental Program Manager, Federal Highway Administration, 2520 West 4700 South, Suite 9A, Salt Lake City...

  8. 75 FR 9476 - Environmental Impact Statement: Salt Lake County, UT

    Science.gov (United States)

    2010-03-02

    ... Federal Highway Administration Environmental Impact Statement: Salt Lake County, UT AGENCY: Federal... transportation improvement project in Salt Lake County, Utah. FOR FURTHER INFORMATION CONTACT: Bryan Dillon, Area Engineer, Federal Highway Administration, 2520 West 4700 South, Suite 9A, Salt Lake City, UT 84118...

  9. Role of Indigenous Languages in the Development of County ...

    African Journals Online (AJOL)

    ... Bomet, Kericho, Nakuru, Baringo, Uasin Gishu, Nandi and Bungoma. The paper also highlights a model of language use as a tool of development with a close reference to the said counties. Finally, the strengths and the weaknesses of using indigenous languages in the development of selected County Governments are ...

  10. Timber resources and the timber economy of Okanogan County, Washington.

    Science.gov (United States)

    Charles L. Bolsinger

    1975-01-01

    In 1972, forest industries in Okanogan County, Washington, accounted for 23 percent of total employment and 29 percent of wages paid. Total forest industrial employment has increased since 1953 but represents a smaller proportion of total employment in the county due to the increase in other industries, mainly construction and trade. Timber harvest has nearly doubled...

  11. 27 CFR 9.169 - Red Hills Lake County.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Red Hills Lake County. 9... Red Hills Lake County. (a) Name. The name of the viticultural area described in this section is “Red Hills Lake County”. (b) Approved Map. The appropriate maps for determining the boundary of the Red Hills...

  12. 78 FR 49446 - Lyon-Mineral County Resource Advisory Committee

    Science.gov (United States)

    2013-08-14

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF AGRICULTURE Forest Service Lyon-Mineral County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meetings. SUMMARY: The Lyon-Mineral County Resource Advisory Committee (RAC) will meet in...

  13. 76 FR 19030 - Lyon & Mineral County Resource Advisory Committee

    Science.gov (United States)

    2011-04-06

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF AGRICULTURE Forest Service Lyon & Mineral County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Lyon and Mineral County Resource Advisory Committee will meet in Smith...

  14. County-level environmental quality and associations with cancer incidence

    Science.gov (United States)

    Cancer has been associated with individual ambient environmental exposures such as PM2.5 and arsenic. However, the role of the overall ambient environment is not well-understood. A novel county-level Environmental Quality Index (EQI) was developed for all U.S. counties (n=3,141)...

  15. 77 FR 32631 - Public Utility District No. 1 of Klickitat County, Washington; Notice of Preliminary Permit...

    Science.gov (United States)

    2012-06-01

    ... located near Goldendale, Klickitat County, Washington, and Rufus, Sherman County, Oregon. The project... Avenue, Goldendale, Washington 98620; phone: (509) 773-5891. FERC Contact: Kelly Wolcott; phone: (202...

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

    Data.gov (United States)

    NSGIC Education | GIS Inventory — This metadata describes the digital orthoimagery covering Orange County, FL. This orthoimagery was collected under contract to the Orange County Property Appraiser...

  17. 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

  18. Geology and ground-water resources of Clayton County, Iowa

    Science.gov (United States)

    Steinhilber, W.L.; Van Eck, O. J.; Feulner, A.J.

    1961-01-01

    Clayton County includes 784 square miles in northeastern Iowa and in 1960 had a population of 21, 962.  For the most part, the county is a dissected upland that is drained mainly by the southeastward flowing Turkey River and its principal tributary, the Volga River.  The Turkey River empties into the Mississippi River, which flows southward along the eastern border of the county.  The climate is humid continental, and the average annual precipitation is 33.01 inches.  The economy of the county is based on farming and the raising of livestock.  The natural resources of the county include soil, water, rock, sand, and timber.

  19. Counties eliminating racial disparities in colorectal cancer mortality.

    Science.gov (United States)

    Rust, George; Zhang, Shun; Yu, Zhongyuan; Caplan, Lee; Jain, Sanjay; Ayer, Turgay; McRoy, Luceta; Levine, Robert S

    2016-06-01

    Although colorectal cancer (CRC) mortality rates are declining, racial-ethnic disparities in CRC mortality nationally are widening. Herein, the authors attempted to identify county-level variations in this pattern, and to characterize counties with improving disparity trends. The authors examined 20-year trends in US county-level black-white disparities in CRC age-adjusted mortality rates during the study period between 1989 and 2010. Using a mixed linear model, counties were grouped into mutually exclusive patterns of black-white racial disparity trends in age-adjusted CRC mortality across 20 three-year rolling average data points. County-level characteristics from census data and from the Area Health Resources File were normalized and entered into a principal component analysis. Multinomial logistic regression models were used to test the relation between these factors (clusters of related contextual variables) and the disparity trend pattern group for each county. Counties were grouped into 4 disparity trend pattern groups: 1) persistent disparity (parallel black and white trend lines); 2) diverging (widening disparity); 3) sustained equality; and 4) converging (moving from disparate outcomes toward equality). The initial principal component analysis clustered the 82 independent variables into a smaller number of components, 6 of which explained 47% of the county-level variation in disparity trend patterns. County-level variation in social determinants, health care workforce, and health systems all were found to contribute to variations in cancer mortality disparity trend patterns from 1990 through 2010. Counties sustaining equality over time or moving from disparities to equality in cancer mortality suggest that disparities are not inevitable, and provide hope that more communities can achieve optimal and equitable cancer outcomes for all. Cancer 2016;122:1735-48. © 2016 American Cancer Society. © 2016 American Cancer Society.

  20. The Impacts of the Montgomery County Public Schools' Proposed 2016 Budget on Montgomery County and the State of Maryland Economies

    Science.gov (United States)

    Fuller, Stephen S.

    2015-01-01

    The Montgomery County Public Schools (MCPS) is a major source of economic activity within the County with these benefits extending across the State of Maryland. These economic benefits result from MCPS's annual expenditures for new facilities, its outlays for repairs and maintenance, and its spending in support of program and facility operations.…

  1. 78 FR 20544 - Proposed Establishment of the Big Valley District-Lake County and Kelsey Bench-Lake County...

    Science.gov (United States)

    2013-04-05

    ... a later harvest date than those in his vineyard within the proposed Big Valley District--Lake County... Alcohol and Tobacco Tax and Trade Bureau 27 CFR Part 9 RIN 1513-AB99 Proposed Establishment of the Big... establish the 11,000-acre Big Valley District-Lake County viticultural area and the 9,100-acre Kelsey Bench...

  2. 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 ...

  3. Water resources of southeastern Bucks County, Pennsylvania

    Science.gov (United States)

    Graham, Jack B.; Mangan, John W.; White, Walter F.

    1951-01-01

    This report has been prepared as a contribution to the development of southeastern Bucks County, Pa. It summarizes available information on the water resources of this 90-square mile area and evaluates current supplies. Future development of the area may change both the available quantity and the quality of the water supply. The effective development of the area demands a continuing knowledge of the water used and the potential quantity and quality of water available from both underground and surface sources. The area is strategically important to a great industrial section of the Bast. Its eastern boundary is a 26-mile segment of the Delaware River along the extreme southeastern border of Bucks County, Pa. (fig. 1). The present.population of the area is about 40,000, including 24,800 in Bristol Borough and Township and 6,770 in Morrisville. The area is traversed by both the Pennsylvania and the Reading Railroads and also by U.S. Highways 1 and 13. These are main transportation routes connecting the great market outlets of Philadelphia and New York. The Delaware River'is navigable from Morrisville to the sea. The area is only a short distance upstream from the Port of Philadelphia, which ranks second only to New York as the most important seaport in the United States. The area is mostly flat, open land 10 to 60 feet above mean sea level. It contains several large Industries, concentrated chiefly in the Bristol area (pi. 1). There are also scattered industries in the Morrisville, Langhorne, and Bensalem areas. However, Bucks County retains some of the characteristics of a farming region. Truck farming and gardening are still carried on to a considerable extent. Along Delaware River below Morrisville the mining of sand and gravel is an Important industry. The facts summarized in this report have been accumulated over a period of 25 years or more by Federal, State, and local agencies in connection with Investigations for other purposes. Most of the data used in this

  4. 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

  5. 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.

  6. 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.

  7. Reflectance of vegetation, soil, and water. [Hidalgo County, Texas

    Science.gov (United States)

    Wiegand, C. L. (Principal Investigator)

    1974-01-01

    The author has identified the following significant results. The majority of the rangelands of Hidalgo County, Texas are used in cow-calf operations. Continuous year-long grazing is practiced on about 60% of the acreage and some type of deferred system on the rest. Mechanical brush control is used more than chemical control. Ground surveys gave representative estimates for 15 vegetable crops produced in Hidalgo County. ERTS-1 data were used to estimate the acreage of citrus in the county. Combined Kubleka Munk and regression models, that included a term for shadow areas, gave a higher correlation of composite canopy reflectance with ground truth than either model alone.

  8. Comparison of Two Maps of the Split-Dalmatia County

    Directory of Open Access Journals (Sweden)

    Stanislav Frangeš

    2012-12-01

    Full Text Available Tourist map – Central Dalmatia – Split-Dalmatia County and Regional map Central Dalmatia, Split and surroundings – School map – Split-Dalmatia County Some time ago, I stumbled upon two different maps of the Split-Dalmatia County. At first, I noticed how different they were concerning colours, data amount and representation, as well as arrangement of outer lettering elements. I was surprised even more when I read that both maps were produced by the same authors. This motivated me to analyse the maps in more detail and present the results of their comparison.

  9. 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.

  10. The oil fields of Allen County, Kentucky, with notes on the oil geology of adjoining counties

    Science.gov (United States)

    Shaw, Eugene Wesley; Mather, Kirtley F.

    1919-01-01

    This report is based on a reconnaissance investigation of the oil field of Allen County, Ky., which was part of a broader study of the oil and gas fields of Kentucky, Tennessee, and Alabama, on which a general report is planned. Most of the field work was done by Mr. Mather, who spent three and a half weeks in and around the county. Mr. Shaw visited Scottsville, the county seat of Allen County, a few years ago and spent a few days in that vicinity at the beginning of the recent field work, which extended from the middle of April to the middle of May, 1917 He prepared also the first draft of the report and reviewed the literature, including reports in oil and gas journals.The purpose of the field work was to investigate the geology of the county, particularly the structure or lay of the oil-bearing strata and the results of drilling to date. Structural conditions in the producing fields were determined by running level lines to the wells and correlating the data recorded in the well logs generously furnished by the operators. Traverses were made of outcrops, and observations of the dip and strike were made in different parts of the county. Lack of a topographic base map and of time and funds for making an accurate topographic survey render the results of the work somewhat incomplete, but it is hoped they will form a valuable contribution to the knowledge of the geology of this relatively little known region, for little detailed geologic work has been done heretofore within 50 miles of Scottsville.The dips are generally too low to be read by the clinometer, but in some localities unmistakable dips can be observed in extensive outcrops along creek banks and can be measured with a level or hand transit. Few of the beds of this region can be followed any considerable distance, though by means of fossils the stratigraphic position of beds outcropping many miles apart can be determined within a few feet. The black shale is the best horizon marker, but it outcrops in only

  11. Road Bridges and Culverts, Locations of county and state bridges maintained by the county or state transportation departments identified visually on orthophotography., Published in 2008, 1:1200 (1in=100ft) scale, Noble County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Road Bridges and Culverts dataset current as of 2008. Locations of county and state bridges maintained by the county or state transportation departments identified...

  12. 76 FR 26224 - Revisions to the California State Implementation Plan, Northern Sonoma County Air Pollution...

    Science.gov (United States)

    2011-05-06

    ... local rules: Northern Sonoma County Air Pollution Control District (NSCAPCD) Rule 130--Definitions and... Pollution Control District (NSCAPCD) and Mendocino County Air Quality Management District (MCAQMD) AGENCY... the Northern Sonoma County Air Pollution Control District (NSCAPCD) and Mendocino County Air Quality...

  13. 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…

  14. Forest statistics for Chelan and Douglas Counties, Washington, 1959-60.

    Science.gov (United States)

    John W. Hazard

    1963-01-01

    This publication summarizes the results of the second forest inventory of Chelan and Douglas Counties, Washington. The collection of field data outside the National Forest was initiated in Chelan County in 1959, in Douglas County in 1960, and completed in both counties in 1960. National Forest resource data were collected during the period 1952 to 1958, and revised to...

  15. 76 FR 74843 - Release of Airport Property, Martin County Airport, Stuart, FL

    Science.gov (United States)

    2011-12-01

    ... Federal Aviation Administration Release of Airport Property, Martin County Airport, Stuart, FL AGENCY... properties, namely approximately 200 acres at the Martin County Airport, Stuart, FL, from the conditions... Engineered Materials Arresting Systems (EMAS) on Runway 12-30 at the Martin County Airport. The County also...

  16. 40 CFR 81.273 - Lake County Intrastate Air Quality Control Region.

    Science.gov (United States)

    2010-07-01

    ... outermost boundaries of the area so delimited): In the State of California: Lake County. ... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Lake County Intrastate Air Quality... Quality Control Regions § 81.273 Lake County Intrastate Air Quality Control Region. The Lake County...

  17. NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Brownsville, Texas Weather Forecast Office (WFO)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea...

  18. 2011 NOAA Ortho-rectified Mosaic of Brownsville Ship Channel, Texas

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery...

  19. EnviroAtlas - Brownsville, TX - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  20. EnviroAtlas - Brownsville, TX - Residents with Potential Window Views of Water by Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential...

  1. EnviroAtlas - Brownsville, TX - Estimated Percent Green Space Along Walkable Roads

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on...

  2. EnviroAtlas - Brownsville, TX - Estimated Percent Tree Cover Along Walkable Roads

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter...

  3. The growth of South African rural black children | Cameron | South ...

    African Journals Online (AJOL)

    Their growth curves demonstrated the well-recognised pattern of deviation from American means before adolescence so that, by the start of adolescence, approximately 50% of the children were below the 10th centile of American norms. Adolescence in all groups is delayed and the magnitude of peak velocity reduced.

  4. Book Review: An Uneasy Story. | Cameron | South African Medical ...

    African Journals Online (AJOL)

    An Uneasy Story. The Nationalising of South African Mission Hospitals 1960 - 1976. A Personal Account. By Dr Ronald Ingle. Foreword by Professor Dons Kritzinger. Pp. xiii+189. Published by the author. 2010. ISBN 978-0-620-47820-5. Illustrated. R230 (including postage). For overseas order options, contact the author.

  5. Being Judge and Witness: Edwin Cameron's Witness to AIDS ...

    African Journals Online (AJOL)

    In the afterword to his autobiographical account of holocaust, Primo Levi distinguishes between two categories of person who survived the concentration camps. Those in the first category typically refuse to revisit the scene of their internment, and avoid discussing or remembering their experience, even though they cannot ...

  6. VT Lidar Slope (1.6 meter) - 2012 - Addison County

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) This metadata applies to the following collection area(s): Addison County 2012 1.6m and related SLOPE datasets. Created using ArcGIS "SLOPE"...

  7. What Did Peel County Do In the Great War?

    Science.gov (United States)

    Morton, Desmond

    1987-01-01

    Describes the strengths and weaknesses of the Canadian War effort during World War I. Specifically focuses on Peel County, Ontario and the particular problems its inhabitants experienced during the war. (BSR)

  8. Hydrogeology and groundwater quality of Highlands County, Florida

    Science.gov (United States)

    Spechler, Rick M.

    2010-01-01

    Groundwater is the main source of water supply in Highlands County, Florida. As the demand for water in the county increases, additional information about local groundwater resources is needed to manage and develop the water supply effectively. To address the need for additional data, a study was conducted to evaluate the hydrogeology and groundwater quality of Highlands County. Total groundwater use in Highlands County has increased steadily since 1965. Total groundwater withdrawals increased from about 37 million gallons per day in 1965 to about 107 million gallons per day in 2005. Much of this increase in water use is related to agricultural activities, especially citrus cultivation, which increased more than 300 percent from 1965 to 2005. Highlands County is underlain by three principal hydrogeologic units. The uppermost water-bearing unit is the surficial aquifer, which is underlain by the intermediate aquifer system/intermediate confining unit. The lowermost hydrogeologic unit is the Floridan aquifer system, which consists of the Upper Floridan aquifer, as many as three middle confining units, and the Lower Floridan aquifer. The surficial aquifer consists primarily of fine-to-medium grained quartz sand with varying amounts of clay and silt. The aquifer system is unconfined and underlies the entire county. The thickness of the surficial aquifer is highly variable, ranging from less than 50 to more than 300 feet. Groundwater in the surficial aquifer is recharged primarily by precipitation, but also by septic tanks, irrigation from wells, seepage from lakes and streams, and the lateral groundwater inflow from adjacent areas. The intermediate aquifer system/intermediate confining unit acts as a confining layer (except where breached by sinkholes) that restricts the vertical movement of water between the surficial aquifer and the underlying Upper Floridan aquifer. The sediments have varying degrees of permeability and consist of permeable limestone, dolostone, or

  9. Contours - MO 2012 Greene County 5ft Contours (SHP)

    Data.gov (United States)

    NSGIC State | GIS Inventory — 5ft cartographic contour file for Greene County, Missouri. This file was created using the elevation data from the 2011 LiDAR flight. It includes indexes for 10, 25,...

  10. EPA Partnership Agreement with Broward County's Port Everglades

    Science.gov (United States)

    The U.S. EPA announced that it was seeking to partner with a seaport to coordinate research and modeling covering port-related operations, technologies, and growth scenarios. Broward County's Port Everglades submitted a letter of interest.

  11. 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

  12. 1992 County Pesticide Use Estimates for 200 Compounds

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset includes information for 200 pesticides on the average amount (pounds) applied to 87 agricultural crops and the acres of crops treated for counties...

  13. Annual county atrazine use estimates for agriculture, 1992-2007

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set contains annual county-level estimates of total atrazine use on 16 agricultural crops and four agricultural land uses between 1992 and 2007. For each...

  14. King County Metro Transit Hybrid Articulated Buses: Final Evaluation Results

    Energy Technology Data Exchange (ETDEWEB)

    Chandler, K.; Walkowicz, K.

    2006-12-01

    Final technical report compares and evaluates new diesel and diesel hybrid-electric articulated buses operated as part of the King County Metro Transit (KC Metro) fleet in Seattle, Washington. The evaluation lasted 12 months.

  15. 2008 Presidential General Election, County Results - Direct Download

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set portrays election results, by counties for 49 States and by election districts for Alaska, for the 2008 Presidential general election. Reported for...

  16. 2004 Presidential General Election, County Results - Direct Download

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set portrays election results, by counties for 49 States and by election districts for Alaska, for the 2004 Presidential general election. Reported for...

  17. 2012 South Carolina DNR Lidar: McCormick 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...

  18. Mammal Track Counts - San Diego County [ds442

    Data.gov (United States)

    California Department of Resources — The San Diego Tracking Team (SDTT) is a non-profit organization dedicated to promoting the preservation of wildlife habitat in San Diego County through citizen-based...

  19. Mammal Track Counts - San Diego County, 2010 [ds709

    Data.gov (United States)

    California Department of Resources — The San Diego Tracking Team (SDTT) is a non-profit organization dedicated to promoting the preservation of wildlife habitat in San Diego County through citizen-based...

  20. [Ecological civilization and schistosomiasis control in Yujiang County].

    Science.gov (United States)

    Ai, Dong-Yun; Liu, Bu-Yun

    2012-02-01

    This article describes the main approach of ecological civilization construction and great changes and achievements in the original schistosomiasis endemic areas, Yujiang County, Jiangxi Province. Ecological civilization is an important part of schistosomiasis control work.

  1. Pulpwood Production in the Lake States by County, 1975

    Science.gov (United States)

    James E. Blyth; Jerold T. Hahn

    1976-01-01

    This 30th annual report shows 1975 pulpwood production by county and species group in Michigan, Minnesota, and Wisconsin. Production in these three Lake States fell to 4.1 million cords from 5.5 million cords in 1974.

  2. Pulpwood Production in the Lake States by County, 1973

    Science.gov (United States)

    James E. Blyth; Jerold T. Hahn

    1974-01-01

    This 28th annual report shows 1973 pulpwood production by county and species group in Michigan, Minnesota, and Wisconsin. Lake States pulpwood production rose to 4.7 million cords in 1973 from 4.3 million cords in 1972.

  3. 2004 SWFWMD Citrus County Bare-Earth 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...

  4. Geology of the Quartz Creek Pegmatite District, Gunnison County Colorado

    Science.gov (United States)

    Staatz, Mortimer H.; Trites, A.F.

    1952-01-01

    The Quartz Creek pegmatite district includes an area about 29 square miles in the vicinity of Quartz Creek in Gunnison County,. Colo. This area contains 1,803 pegmatites that are intruded into pre-Cambrian rocks.

  5. Allegheny County Public Swimming Pool, Hot Tub, and Spa Inspections

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Public swimming pool, hot tub, and spa facilities are licensed and inspected once each year to assure proper water quality, sanitation, lifeguard coverage and...

  6. Map showing landslide susceptibility in Prince Georges County, Maryland

    Energy Technology Data Exchange (ETDEWEB)

    Pomeroy, J.S.

    1989-01-01

    Prince Georges County was identified during a statewide investigation of landslide susceptibility (MF-2048) as the county with the most serious slope-stability problems. This map uses a ranking system ranging from 1 (nil to very low susceptibility) to 4 (moderate to severe susceptibility). Geologic factors and precipitation are major elements in the initiation of landslides in the county. The Potomac Group and the Marlboro Clay are the most slideprone units. This map should enable users to make a rapid, generalized evaluation of the potential for mass movement. Planners, engineers, soil scientists, geologist, university faculty, and elected officials should find it useful in the assessment of slope hazards for county-wide analyses.

  7. VT Built Up Lands in Grand Isle County - 1977

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) NRCS mapped historical and current-day built-up lands for Grand Isle County, VT using several vintages of aerial photography: 1941, 1962, 1974,...

  8. 2004 FEMA Lidar: Portions of Burlington and Camden Counties (NJ)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In early October 2004, LIDAR was flown for Burlington and Camden Counties. The acquisition is being sponsored FEMA because of the July flood. It will be delivered to...

  9. Species Observations (poly) - San Diego County [ds648

    Data.gov (United States)

    California Department of Resources — Created in 2009, the SanBIOS database serves as a single repository of species observations collected by various departments within the County of San Diego's Land...

  10. 2014 USGS Lidar: Central Virginia Seismic (Louisa County)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Laser Mapping Specialist, Inc (LMSI) collected 230 square miles in the Virginia counties of Fluvanna, Orange, Louisa, and Spotsylvania. The nominal pulse spacing for...

  11. VT Lidar Aspect (2 meter) - 2012 - Bennington County

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) This metadata applies to the following collection area(s): Bennington County 2012 2.0m and related ASPECT datasets. This metadata complies with...

  12. VT Lidar Aspect (1.6 meter) - 2012 - Addison County

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) This metadata applies to the following collection area(s): Addison County 2012 1.6m and related ASPECT datasets. This metadata complies with the...

  13. 2016 Martin County QL2 Lidar DEM (FL)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Martin County FL QL2 Lidar Acquisition and Processing Production Task Task Order No. G14PS00574 Woolpert Order No. 76001 Contractor: Woolpert, Inc. This task is for...

  14. Parcels and Land Ownership - Volusia County Basemaps (Polygons)

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Polygons of subdivision base map for Volusia County. Basemap is comprised of each platted lot or land subdivided by legal descriptions. To obtain parcel ownership...

  15. Parcels and Land Ownership - Volusia County Basemap (Arcs)

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Coded arcs of polygon boundaries for subdivision base map for Volusia County. Basemap is comprised of each platted lot or land subdivided by legal descriptions. To...

  16. VT Lidar Slope (2 meter) - 2012 - Bennington County

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) This metadata applies to the following collection area(s): Bennington County 2012 2.0m and related SLOPE datasets. Created using ArcGIS "SLOPE"...

  17. Pulpwood Production in the Lake States, by County, 1978

    Science.gov (United States)

    James E. Blyth; W. Brad Smith

    1979-01-01

    Pulpwood production in the Lake States - Michigan, Minnesota, and Wisconsin - advances from 4.74 million cords in 1977 to 4.91 millions cords in 1978. Pulpwood production is shown by county and species group for these three States

  18. VT Lidar DSM (3.2 meter) - 2004 - Chittenden County

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) This metadata applies to the following collection area(s): Chittenden County 2004 3.2m and related Digital Surface Model (DSM) data. This metadata...

  19. Institutional-building grants program: the county-government perspective

    Energy Technology Data Exchange (ETDEWEB)

    Flick, S.

    1982-03-01

    The National Association of Counties Research, Inc. (NACoR) energy team developed a questionnaire on the Institutional Buildings Grant Program (IBGP) and distributed it to every county government in the country. Responses were received from approximately 600 counties in 47 states (a response rate of about 20%). After completing a preliminary review of the questionnaire findings, NACoR conducted six case studies to identify the various methods state energy offices and county governments used to implement the IBGP. The case studies presented here are divided into two groups: examples of successful state IBGP's - New York, Washington, and Wisconsin; and examples of unsuccessful state IBGP's - California, North Carolina, and South Carolina. (MHR)

  20. VT Built Up Lands in Grand Isle County - 1962

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) NRCS mapped historical and current-day built-up lands for Grand Isle County, VT using several vintages of aerial photography: 1941, 1962, 1974,...

  1. Final Report: Feasibility Study of Biomass in Snohomish County, Washington

    Energy Technology Data Exchange (ETDEWEB)

    Daryl Williams (Tulalip Tribes); Ray Clark (Clark Group)

    2005-01-31

    This report and its attachments summarizes the results of a unique tribal-farmer cooperative study to evaluate the feasibility of building one or more regional anaerobic digestion systems in Snohomish County, Washington.

  2. Land Elevation TINs (Triangulated Irregular Networks) 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...

  3. Preliminary Biotic Survey of Cane Creek, Calhoun County, AL

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — A biotic survey of Cane Creek (Calhoun County, AL) was completed in the Fall (1992) and Winter (1993) at six sites within Cane Creek to determine the effects of...

  4. Road infrastructure, spatial spillover and county economic growth

    Science.gov (United States)

    Hu, Zhenhua; Luo, Shuang

    2017-09-01

    This paper analyzes the spatial spillover effect of road infrastructure on the economic growth of poverty-stricken counties, based on the spatial Durbin model, by using the panel data of 37 poor counties in Hunan province from 2006 to 2015. The results showed that there is a significant spatial dependence of economic growth in Poor Counties. Road infrastructure has a positive impact on economic growth, and the results will be overestimated without considering spatial factors. Considering the spatial factors, the road infrastructure will promote the economic growth of the surrounding areas through the spillover effect, but the spillover effect is restricted by the distance factor. Capital investment is the biggest factor of economic growth in poor counties, followed by urbanization, labor force and regional openness.

  5. LiDAR (Terrain), THURSTON COUNTY, WASHINGTON, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Fugro EarthData Company furnished the collection, processing, and development of LiDAR for 825 square miles in Washington (805 square miles of Thurston County and 20...

  6. 2005 Hancock and Jackson Counties, Mississippi 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...

  7. Allegheny County Department of Public Works Maintenance District Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis...

  8. VT County Health Data 1986-2000 - 2

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) This datalayer contains Vermont Population and Health data describing public health (1986-2000), by county, extracted from various sources, such...

  9. 1997 County Pesticide Use Estimates for 220 Compounds

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset includes information for 220 pesticides on the average amount (pounds) applied to 87 agricultural crops and the acres of crops treated for counties...

  10. NCHS - Drug Poisoning Mortality by County: United States

    Data.gov (United States)

    U.S. Department of Health & Human Services — This dataset describes drug poisoning deaths at the county level by selected demographic characteristics and includes age-adjusted death rates for drug poisoning...

  11. Horticulture for Secondary Level Handicapped Adolescents: The Cherokee County Model.

    Science.gov (United States)

    Frith, Greg H.; And Others

    1981-01-01

    The Cherokee County (Alabama) horticulture training program provides 40 mildly mentally retarded adolescents with vocational training in a marketable skills. The broad spectrum of vocational skills makes horticulture ideal for the handicapped. (DB)

  12. 2010 USGS Lidar: Southeastern Michigan (Hillsdale, Jackson, Lenawee Counties)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TASK NAME: Lake Erie LiDAR Priority Area 1 LiDAR Data Acquisition and Processing Production Task- Jackson, Hillsdale, and Lenawee Counties USGS Contract No....

  13. VT Built Up Lands in Grand Isle County - 1995

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) NRCS mapped historical and current-day built-up lands for Grand Isle County, VT using several vintages of aerial photography: 1941, 1962, 1974,...

  14. VT Built Up Lands in Grand Isle County - 1941

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) NRCS mapped historical and current-day built-up lands for Grand Isle County, VT using several vintages of aerial photography: 1941, 1962, 1974,...

  15. VT Built Up Lands in Grand Isle County - 1974

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) NRCS mapped historical and current-day built-up lands for Grand Isle County, VT using several vintages of aerial photography: 1941, 1962, 1974,...

  16. VT Developed Lands in Grand Isle County - 2003

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) NRCS mapped historical and current-day built-up lands for Grand Isle County, VT using several vintages of aerial photography: 1941, 1962, 1974,...

  17. VT Built Up Lands in Grand Isle County - 1986

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) NRCS mapped historical and current-day built-up lands for Grand Isle County, VT using several vintages of aerial photography: 1941, 1962, 1974,...

  18. 2011 Georgia Lidar DEM: Burke Richmond Lincoln Columbia Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TASK NAME:4 GA Counties of Elevation Data NOAA Contract No. EA133C11CQ0010 Requisition No. NCNP0000-11-02615 Woolpert Order No. 71511 CONTRACTOR: Woolpert, Inc....

  19. 2007 Delaware Coastal Programs Lidar: Kent and New Castle Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The data acquisition occurred in 7 missions between March 31 and April 5, 2007 in Kent and New Castle Counties, Delaware. The data have been classified and were...

  20. 75 FR 62758 - Fresno County Resource Advisory Committee

    Science.gov (United States)

    2010-10-13

    ... National Forest Supervisor's Office, 1600 Tollhouse Rd., Clovis, CA. Send written comments to Robbin Ekman... INFORMATION CONTACT: Robbin Ekman, Fresno County Resource Advisory Committee Coordinator, (559) 855-5355 ext...

  1. 75 FR 48642 - Fresno County Resource Advisory Committee

    Science.gov (United States)

    2010-08-11

    ... District, 29688 Auberry Rd., Prather, CA. Send written comments to Robbin Ekman, Fresno County Resource..., Prather, CA 93651 or electronically to [email protected] . FOR FURTHER INFORMATION CONTACT: Robbin Ekman...

  2. 75 FR 55737 - Fresno County Resource Advisory Committee

    Science.gov (United States)

    2010-09-14

    ... Forest Supervisor's Office, 1600 Tollhouse Road Prather, CA. Send written comments to Robbin Ekman... INFORMATION CONTACT: Robbin Ekman, Fresno County Resource Advisory Committee Coordinator. (559) 855-5355 ext...

  3. SERVICES IN GORJ COUNTY IN ECONOMIC CRISIS SITUATIONS

    Directory of Open Access Journals (Sweden)

    RĂBONTU CECILIA IRINA

    2011-03-01

    Full Text Available In this paper we propose a synthetic analysis of the evolution of the tertiary sector in Gorj county under the pressure of the economic crisis that is felt now more than ever, the tertiary sector whos activities resulted in extremely diverse and constantly expanding services in our county as well. Like other regions of Romania, Gorj county is facing a new situation: after the period 2001-2008 when there has been growth, started a period marked by crisis, outcome of the effect of economic and financial crisis that broke out in the U.S. in October 2008. The economic crisis raises even more problems further enhancing poverty due to lower employment, as well as the decline in purchasing power especially among low-income population, under the impact of inflation and restrictive policies in wages, issues that are consequential to the stage of development of services in Gorj County.

  4. VT Built Up Lands in Grand Isle County - 2003

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) NRCS mapped historical and current-day built-up lands for Grand Isle County, VT using several vintages of aerial photography: 1941, 1962, 1974,...

  5. The revenues system of the counties in Poland and proposals for its reform

    Directory of Open Access Journals (Sweden)

    Andrzej Borodo

    2015-06-01

    Full Text Available There are two types of the counties in Poland: land county (encompassing a number of small towns and communes and urban county (a large town above 100 000 inhabitants. The current system of budget revenues of the counties is doubtful and should be changed. This article presents proposals for creating of land county revenues system and a separate system for revenues of large towns. Local taxes, subventions, grants must be built separately for these two different types of local governments.

  6. 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.

  7. Geology and ground-water resources of Dane County, Wisconsin

    Science.gov (United States)

    Cline, Denzel R.

    1965-01-01

    The purpose of the ground-water investigation of Dane County, Wis., was to determine the occurrence, movement, quantity, quality, and availability of ground water in the unconsolidated deposits and the underlying bedrock. The relationships between ground water and surface water were studied in general in Dane County and in detail in the Madison metropolitan area. An analysis was made of the hydrologic system of the Yahara River valley and of the effects of ground-water pumpage on that system.

  8. Cancer screening delivery in persistent poverty rural counties.

    Science.gov (United States)

    Bennett, Kevin J; Pumkam, Chaiporn; Bellinger, Jessica D; Probst, Janice C

    2011-10-01

    Rural populations are diagnosed with cancer at different rate and stages than nonrural populations, and race/ethnicity as well as the area-level income exacerbates the differences. The purpose of this analysis was to explore cancer screening rates across persistent poverty rural counties, with emphasis on nonwhite populations. The 2008 Behavioral Risk Factor Surveillance System was used, combined with data from the Area Resource File (analytic n = 309 937 unweighted, 196 344 347 weighted). Unadjusted analysis estimated screening rates for breast, cervical, and colorectal cancer. Multivariate analysis estimated the odds of screening, controlling for individual and county-level effects. Rural residents, particularly those in persistent poverty counties, were less likely to be screened than urban residents. More African Americans in persistent poverty rural counties reported not having mammography screening (18.3%) compared to 15.9% of urban African Americans. Hispanics had low screening rates across all service types. Multivariate analysis continued to find disparities in screening rates, after controlling for individual and county-level factors. African Americans in persistent poverty rural counties were more likely to be screened for both breast cancer (odds ratio, 1.44; 95% confidence interval, 1.12-1.85) and cervical cancer (1.46; 1.07-1.99) when compared with urban whites. Disparities in cancer screening rates exist across not only race/ethnicity but also county type. These disparities cannot be fully explained by either individual or county-level effects. Programs have been successful in improving screening rates for African American women and should be expanded to target other vulnerable women as well as other services such as colorectal cancer screening.

  9. Population analysis relative to geothermal energy development, Imperial County, California

    Energy Technology Data Exchange (ETDEWEB)

    Pick, J.B.; Jung, T.H.; Butler, E.

    1977-01-01

    The historical and current population characteristics of Imperial County, California, are examined. These include vital rates, urbanization, town sizes, labor force composition, income, utility usage, and ethnic composition. Inferences are drawn on some of the important social and economic processes. Multivariate statistical analysis is used to study present relationships between variables. Population projections for the County were performed under historical, standard, and geothermal projection assumptions. The transferability of methods and results to other geothermal regions anticipating energy development is shown. (MHR)

  10. Interjurisdictional collaboration: local public health officials versus county commissioners.

    Science.gov (United States)

    Felton, John; Golbeck, Amanda L

    2011-01-01

    This study's primary objective was to determine where the viewpoints of public health officials and county commissioners differed on interjurisdictional collaboration in public health service delivery. After cataloging literature findings on interjurisdictional collaboration, an original questionnaire for 2 population groups within a cross-sectional design was developed. The questionnaire was administered in a rural or frontier state (Montana) that operates a generally decentralized public health system. Respondents (n = 83) were 29 lead local public health officials representing 34 counties, and 54 county commissioners representing 33 counties. Sixteen reasons to collaborate, 13 barriers to collaboration, and 18 policy considerations that would lead respondents to support or oppose a collaborative system were assessed, along with perceptions of current and ideal levels of interjurisdictional collaboration using the 4-level National Association of County and City Health Officials scale. Viewpoints of public health officials and county commissioners were found to differ significantly on 7 of 47 items. The potential benefit of improved surge capacity to manage large-scale events or emergencies was found by public health officials to be a more important reason to collaborate across jurisdictional lines. Long-standing commitment to home rule, current political climate, perceived threats to local elected officials, loss of local input into public health services and priorities, and lack of collaborative government and staffing models were all identified by public health officials as greater barriers to interjurisdictional collaboration. County commissioners were more likely to neither support nor oppose using existing disaster and emergency services district boundaries to define public health regional boundaries. Public health officials and county commissioners seem to have similar viewpoints on reasons to collaborate and policy considerations, but different viewpoints

  11. Geothermal direct-heat study: Imperial County, California

    Energy Technology Data Exchange (ETDEWEB)

    1983-05-01

    Potential applications of geothermal energy which would be compatible with the agricultural activities in the county were identified and a plan to attract potential users to the area was developed. The intent of the first effort was to identify general classifications of industries which could utilize geothermal heat in production processes. Two levels of analyses were utilized for this effort. Initially, activities relying on previously developed engineering and industrial concepts were investigated to determine capital costs, employment, and potential energy savings. Second, innovative concepts not yet fully developed were investigated to determine their potential applicability to the agricultural base of the county. These investigations indicated that the major potential applications of geothermal heat would involve industries related to food processing or other direct agriculture-related uses of raw materials produced or imported to the county. An implementation plan which can be utilized by the county to market direct heat applications was developed. A socioeconomics analysis examined the potential effects on the county from development of direct heat projects. The county's planning and permitting requirements for dirct heat projects were also examined.

  12. Address Points - COUNTY_ADDRESS_POINTS_IDHS_IN: Address Points Maintained by County Agencies in Indiana (Indiana Department of Homeland Security, Point feature class)

    Data.gov (United States)

    NSGIC State | GIS Inventory — COUNTY_ADDRESS_POINTS_IDHS_IN is an ESRI Geodatabase point feature class that contains address points maintained by county agencies in Indiana, provided by personnel...

  13. Road and Street Centerlines - COUNTY_STREET_CENTERLINES_IDHS_IN: Street Centerlines Maintained by County Agencies in Indiana (Indiana Department of Homeland Security, Line Shapefile)

    Data.gov (United States)

    NSGIC State | GIS Inventory — COUNTY_STREET_CENTERLINES_IDHS_IN is a line feature class that contains street centerlines maintained by county agencies in Indiana, provided by personnel of Indiana...

  14. Eight Americas: Investigating Mortality Disparities across Races, Counties, and Race-Counties in the United States

    Science.gov (United States)

    Murray, Christopher J. L; Kulkarni, Sandeep C; Michaud, Catherine; Tomijima, Niels; Bulzacchelli, Maria T; Iandiorio, Terrell J; Ezzati, Majid

    2006-01-01

    Background The gap between the highest and lowest life expectancies for race-county combinations in the United States is over 35 y. We divided the race-county combinations of the US population into eight distinct groups, referred to as the “eight Americas,” to explore the causes of the disparities that can inform specific public health intervention policies and programs. Methods and Findings The eight Americas were defined based on race, location of the county of residence, population density, race-specific county-level per capita income, and cumulative homicide rate. Data sources for population and mortality figures were the Bureau of the Census and the National Center for Health Statistics. We estimated life expectancy, the risk of mortality from specific diseases, health insurance, and health-care utilization for the eight Americas. The life expectancy gap between the 3.4 million high-risk urban black males and the 5.6 million Asian females was 20.7 y in 2001. Within the sexes, the life expectancy gap between the best-off and the worst-off groups was 15.4 y for males (Asians versus high-risk urban blacks) and 12.8 y for females (Asians versus low-income southern rural blacks). Mortality disparities among the eight Americas were largest for young (15–44 y) and middle-aged (45–59 y) adults, especially for men. The disparities were caused primarily by a number of chronic diseases and injuries with well-established risk factors. Between 1982 and 2001, the ordering of life expectancy among the eight Americas and the absolute difference between the advantaged and disadvantaged groups remained largely unchanged. Self-reported health plan coverage was lowest for western Native Americans and low-income southern rural blacks. Crude self-reported health-care utilization, however, was slightly higher for the more disadvantaged populations. Conclusions Disparities in mortality across the eight Americas, each consisting of millions or tens of millions of Americans

  15. OLT COUNTY'S RURAL DEVELOPMENT THROUGH AGROTOURISM

    Directory of Open Access Journals (Sweden)

    Dragos-Ion SMEDESCU

    2013-12-01

    Full Text Available Sustainable development and success of rural tourism and agrotourism not depends only by attractive tourist facilities and landscape, depends to an extent more or less equal competitive and quality service. Tourism, being known as one of the world's most competitive activities require commitment, professionalism, understanding, organization and not least an effective strategy for human resource development. The materials we will present the method used in the study was a questionable applied in Olt county, in the 9th joint distributed three forms of relief: Meadow: Gura Padinii, Gârcov and Orlea, Plain: Călui, Curtişoara, Pleșoiu and hill Leleasca, Oboga and Sâmbureşti, in order to analyze and agro tourism potential, to develop strategy and promote recovery. In evaluating the survey data used to test the association, (Chi, Hi or χ2 theoretically test allows highlighting the existence / non-existence of a link between the association created under local segmentation variables studied.

  16. CarbonSAFE Illinois - Macon County

    Energy Technology Data Exchange (ETDEWEB)

    Whittaker, Steve [University of Illinois; Illinois State Geological Survey

    2017-08-03

    CarbonSAFE Illinois is a a Feasibility study to develop an established geologic storage complex in Macon County, Illinois, for commercial-scale storage of industrially sourced CO2. Feasibility activities are focused on the Mt. Simon Storage Complex; a step-out well will be drilled near existing storage sites (i.e., the Midwest Geological Sequestration Consortium’s Illinois Basin – Decatur Project and the Illinois Industrial Carbon Capture and Storage Project) to further establish commercial viability of this complex and to evaluate EOR potential in a co-located oil-field trend. The Archer Daniels Midland facility (ethanol plant), City Water, Light, and Power in Springfield, Illinois (coal-fired power station), and other regional industries are potential sources of anthropogenic CO2 for storage at this complex. Site feasibility will be evaluated through drilling results, static and dynamic modeling, and quantitative risk assessment. Both studies will entail stakeholder engagement, consideration of infrastructure requirements, existing policy, and business models. Project data will help calibrate the National Risk Assessment Partnership (NRAP) Toolkit to better understand the risks of commercial-scale carbon storage.

  17. SOIL EROSION FROM AREA IANOVA, TIMIS COUNTY

    Directory of Open Access Journals (Sweden)

    STELA URUIOC

    2009-01-01

    Full Text Available This study focuses on an area of erosion soils developed in Timis county of North - East of Timisoara. Soil erosion phenomenon intensity over the field of Ianova area is controlled by environment factors: relief, climate (rainfall intensity and runoff, vegetation, lithological substratum and human activity. Slope erosion state on erosion classes show that more than half of slope lands are affected by moderate and strong erosion. Ecopedological indicators of chemical soil characterization present lower values while erosion degree progresses. Thus, humus cantity progressively comes down from soil weak eroded (3,90-2,82% to soil excessive eroded (1,14%-1,11%. Nitrogen content expressed through nitrogen indicator has medium values (1,86-3,04 for weak and moderate eroded soils and small values (0,96-0,21 for excessive eroded soils. Potassium content substantially comes down from weak eroded soils (180ppm till to those excessive eroded (132 ppm. Phosphorus content has small values for all eroded soils (4,70-2,68 ppm. For eroded fields of Ianova area we propose: antierosional developments, agropedoimprovement works, antierosional agrotechnical works.

  18. Columbia County Habitat for Humanity Passive Townhomes

    Energy Technology Data Exchange (ETDEWEB)

    Dentz, Jordan [The Advanced Residential Integrated Energy Solutions Collaborative, New York, NY (United States); Alaigh, Kunal [The Advanced Residential Integrated Energy Solutions Collaborative, New York, NY (United States); Dadia, Devanshi [The Advanced Residential Integrated Energy Solutions Collaborative, New York, NY (United States)

    2016-03-18

    Columbia County (New York) Habitat for Humanity built a pair of townhomes to Passive House criteria with the purpose of exploring approaches for achieving Passive House performance and to eventually develop a prototype design for future projects. The project utilized a 2x6 frame wall with a structural insulated panel curtain wall and a ventilated attic over a sealed OSB ceiling air barrier. Mechanical systems include a single head, wall mounted ductless mini-split heat pump in each unit and a heat recovery ventilator. Costs were $26,000 per unit higher for Passive House construction compared with the same home built to ENERGY STAR version 3 specifications, representing about 18% of total construction cost. This report discusses the cost components, energy modeling results and lessons from construction. Two alternative ventilation systems are analyzed: a central system; and, a point-source system with small through-wall units distributed throughout the house. The report includes a design and cost analysis of these two approaches.

  19. Elemental sulfur in Eddy County, New Mexico

    Science.gov (United States)

    Hinds, Jim S.; Cunningham, Richard R.

    1970-01-01

    Sulfur has been reported in Eddy County, N. Mex., in rocks ranging from Silurian to Holocene in age at depths of 0-15,020 feet. Targets of present exploration are Permian formations in the Delaware Basin and northwest shelf areas at depths of less than 4,000 feet. Most of the reported sulfur occurrences in the shelf area are in the 'Abo' (as used by some subsurface geologists), Yeso, and San Andres Formations and the Artesia Group. Sulfur deposition in the dense dolomites of the 'Abo,' Yeso, and San Andres Formations is attributed to the reduction of ionic sulfate by hydrogen sulfide in formation waters in zones of preexisting porosity and permeability. A similar origin accounts for most of the sulfur deposits in the formations of the Artesia Group, but some of the sulfur in these formations may have originated in place through the alteration of anhydrite to carbonate and sulfur by the metabolic processes of bacteria in the presence of hydrocarbons. Exploration in the Delaware Basin area is directed primarily toward the Castile Formation. Sulfur deposits in the Castile Formation are found in irregular masses of cavernous brecciated secondary carbonate rock enveloped by impermeable anhydrite. The carbonate masses, or 'castiles,' probably originated as collapse features resulting from subsurface solution and upward stopping. Formation of carbonate rock and sulfur in the castiles is attributed to the reduction of brecciated anhydrite by bacteria and hydrocarbons in the same process ascribed to the formation of carbonate and sulfur in the caprocks of salt domes.

  20. Extreme flash floods in Barcelona County

    Directory of Open Access Journals (Sweden)

    A. Barrera

    2005-01-01

    Full Text Available In this paper the catastrophic and extraordinary floods occurring in Barcelona County (Catalonia, NE Spain are studied, in order to characterise the temporal evolution of extreme flash floods in that area and their main features. These events usually cause economical losses and major problems for undertaking daily activity in Barcelona city. This kind of floods is a very common feature in the North-east of Spain and they are recorded every year in some point of Catalonia. This contribution also shows the frequency of those events, within the framework of all the floods that have occurred in Barcelona since the 14th century, but also describes the flooded area, urban evolution, impacts and the weather conditions for any of most severe events. The evolution of flood occurrence shows the existence of oscillations in the earlier and later modern age periods that can be attributed to climatic variability, evolution of the perception threshold and changes in vulnerability. A great increase of vulnerability can be assumed for the period 1850-1900. The analysis of the time evolution for the Barcelona rainfall series (1854-2000 shows that no trend exists, although, due to the changes in urban planning, flash-floods impact has changed over this time. The number of catastrophic flash floods has diminished, although the extraordinary ones have increased.