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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. Parcels and Land Ownership, Published in 2011, Cameron County Government.

    Data.gov (United States)

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

  3. Parcels and Land Ownership, Published in 2011, Cameron County Government.

    Data.gov (United States)

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

  4. Parcels and Land Ownership, Published in 2011, Cameron County Government.

    Data.gov (United States)

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

  5. Geological notes, Boory field, Cameron County, Texas

    Energy Technology Data Exchange (ETDEWEB)

    Stapp, W.L.

    1981-12-01

    The gas fields of the Lower Miocene sands of Cameron County have gained enough maturity in their production experience to afford a consideration of their performance and characteristics. The Holy Beach field in the Laguna Madre has produced over 100 billion cu ft of gas, and others have produced over 25 billion; several are smaller. The characteristics of these fields include the modest cost of drilling in the range of pays 3000 ft to 7500 ft depth, and the small area of production, with several pay sands, usually a few feet thick but being very porous (over 30%) and permeable (streaks of over 800 md). A fairly dry gas is produced with normal pressures. The Boory field may be singled out as a small but interesting field in this trend. It was found in 1973 and produced 4-1/2 billion cu ft of gas from a 310-acre area with 8 pay sands in depths 4750 to 6200 ft depth. The field was abandoned in 1980.

  6. 75 FR 63533 - Environmental Impact Statement: Cameron County, TX

    Science.gov (United States)

    2010-10-15

    ... proposed improvements to United States Highway 181/State Highway 286 (Crosstown Expressway), in Nueces... Nueces County, Texas. The project limits were defined as the limits of the schematic design. The project... the Corpus Christi Ship Channel but south of the Nueces Bay Causeway; the southern limit was the...

  7. Brownsville: The Reaction of the Negro Press

    Science.gov (United States)

    Wynne, Lewis N.

    1972-01-01

    Describes the events that followed subsequent to the assignment of an all-black regimental unit to the Fort Brown military installation on the outskirts of Brownsville, Texas, in 1906, with reference to the reactions of the Brownsville residents, the Negro press, and white champions of the black cause, and to the actions of President Theodore…

  8. Ocean Hill-Brownsville, 40 Years Later

    Science.gov (United States)

    Kahlenberg, Richard D.

    2008-01-01

    Forty years ago--on May 9, 1968--the local school board in Brooklyn's black ghetto of Ocean Hill-Brownsville sent telegrams to 19 unionized educators, informing them that their employment in the district was terminated. Eighteen were white. One black teacher was mistakenly included on the list, but reinstated almost immediately after the error was…

  9. 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

  10. 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... provisions of 49 U.S.C. 47501 et seq. (Aviation Safety and Noise Abatement Act) and 14 CFR part 150 are...

  11. 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...

  12. Cameron in China

    Institute of Scientific and Technical Information of China (English)

    KERRY BROWN

    2010-01-01

    @@ British Prime Minister David Cameron's fast official visit to China in November had two objectives.One was to lead one of the largest trade delegations ever accompanied by a UK prime minister to an increasingly important market.The other was for him to meet,and get to know,the Chinese leadership and key figures in the government.

  13. Effects of Glycemic Control on Bone Turnover in Older Mexican Americans with Type 2 Diabetes: Data from the Cameron County Hispanic Cohort in Texas

    Science.gov (United States)

    Rianon, N.; Smith, S. M.; Lee, M.; Musgrave, P.; Nader, S.; Khosla, S.; Ambrose, C.; McCormick, J.; Fisher-Hoch, S.

    2016-01-01

    High bone turnover, evidenced by high serum osteocalcin (OC) concentration, is indicated as risk of fracture in old age. However, low bone turnover has been reported in patients with type 2 diabetes (T2D) who also have high fracture risk. Poor glycemic control indicated by higher glycated hemoglobin levels (HbA1c) has been associated with lower serum OC in older Caucasian and Asian patients with T2D. There remains a gap in knowledge about effects of T2D on bone turnover status in Hispanic populations. We report bone turnover in association with glycemic control in 72 older (greater than or equal to 50 years) men (N=21) and women (N=51) from the Cameron County Hispanic Cohort (CCHC) in Texas. Prevalence of T2D is about 30 percent in this cohort who live in health disparity due to poor access to health care. Separate multivariable linear regression models were conducted to determine association between high/diabetic levels of HbA1c (less than 6.5 normal versus greater than or equal to 6.5 high) and serum OC after controlling for age, body mass index (BMI, greater than 30 obese versus less than 30 non-obese), visceral fat, femoral neck BMD and serum concentrations of creatinine, calcium, and vitamin D for men and women. Interaction effects were assessed while developing final multivariable model to identify factors that modify the association between HbA1c and OC. Subjects were 66 plus or minus 9 (mean plus or minus Standard Deviation) years for men and 67 plus or minus 8 years for women. HbA1c was 8.0 plus or minus 2.0 for men and 7.8 plus or minus 2.0 for women. There were no significant differences for BMI, femoral neck BMD, serum calcium or 25-hydroxyvitamin D concentrations between men and women. High HbA1c was significantly associated with lower OC levels in men in both age groups (mean difference in OC between high vs. low HbA1c [95 percent confidence interval] for older group (greater than or equal to 65 years) was minus 9.51 (minus 16.36 to minus 2.65) and

  14. 78 FR 933 - Cameron LNG, LLC; Cameron Interstate Pipeline, LLC; Notice of Applications

    Science.gov (United States)

    2013-01-07

    ...-000 and Docket No. PF12-12-000] Cameron LNG, LLC; Cameron Interstate Pipeline, LLC; Notice of Applications Take notice that on December 7, 2012, Cameron LNG, LLC (Cameron LNG), 101 Ash Street, San Diego... on file with the Commission and open to public inspection. Specifically, Cameron LNG...

  15. 40 CFR 81.135 - Brownsville-Laredo Intrastate Air Quality Control Region.

    Science.gov (United States)

    2010-07-01

    ... Air Quality Control Regions § 81.135 Brownsville-Laredo Intrastate Air Quality Control Region. The Brownsville-Laredo Intrastate Air Quality Control Region (Texas) consists of the territorial area encompassed... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Brownsville-Laredo Intrastate...

  16. An Unusual Cause of Anemia: Cameron Ulcer

    Directory of Open Access Journals (Sweden)

    Cenk Aypak

    2013-04-01

    Full Text Available Cameron ulcer is a linear gatric ulser on the mucosal folds in patients with a large hiatal hernia. Cameron ulcer could be seen in 5% of patients with hiatal hernia who undergo upper gastrointestinal system (GIS endoscopy examination. The clinical relevance of Cameron ulcer is due to its potential complications such as GIS bleeding and anemia. In this report a case who was applied to Family Medicine outpatient clinics with the diagnosis of iron deficiency anemia and determined Cameron ulser at upper gastroentestinal endoscopy was presented. [Cukurova Med J 2013; 38(2.000: 315-318

  17. 75 FR 26744 - Cameron LNG, LLC; Notice of Application

    Science.gov (United States)

    2010-05-12

    ...-000] Cameron LNG, LLC; Notice of Application May 5, 2010. On April 22, 2010, Cameron LNG, LLC filed... directed to William D. Rapp, Senior Regulatory Counsel at Cameron LNG, LLC, 101 Ash Street, HQ-12,...

  18. 76 FR 73609 - Cameron LNG, LLC; Notice of Application

    Science.gov (United States)

    2011-11-29

    ... Energy Regulatory Commission Cameron LNG, LLC; Notice of Application Take notice that on November 4, 2010, Cameron LNG, LLC (Cameron), 101 Ash Street, San Diego, California 92101, filed in Docket No. CP12- 15-000... operate a boil-off gas (BOG) liquefaction system at its LNG import terminal in Cameron Parish,...

  19. 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

  20. Homosexual parents and questions of character: a response to Cameron and Cameron.

    Science.gov (United States)

    Duncan, D F

    1999-06-01

    Cameron and Cameron introduced appellate court decisions as a new data source for content analyses. In using this source they have shown praiseworthy clarity in describing their methods. Their report, however, appears to show an over-weaning bias against homosexuals which is the fatal flaw of this study.

  1. Comment on Cameron and Cameron (2002): "children of homosexual parents report childhood difficulties".

    Science.gov (United States)

    Brubaker, Lowell L

    2002-08-01

    Cameron and Cameron's reanalysis of published data in 2002 indicates children being raised in a home environment with at least one homosexual parent report some negative consequences. However, a closer look at the information presented suggests (especially in the absence of control groups) that the negative consequences documented do not constitute major psychological trauma. Rather, they are more in the nature of the teasing and bullying that plagues any child who comes from a home that may be atypical in any fashion.

  2. Cameron lesion: An unusual cause of anemia

    Directory of Open Access Journals (Sweden)

    Jovanović Ivan

    2010-01-01

    Full Text Available Introduction. Cameron lesions are linear gastric ulcers or erosions positioned on the crests of mucosal folds at the diaphragmatic impression, in patients with large hiatal hernia, and can cause iron deficiency anaemia. Case report. We present a case of a 56-year-old woman who was referred to our institution for further investigation after she was examined in gastroenterology emergency room (GER for signs and symptoms of severe hypochromic microcytic anemia without signs of acute gastrointestinal bleeding and with no obvious cause of chronic blood loss. Endoscopy showed linear ulceration at the level of diaphragm-Cameron lesions with large hiated hernia. She was treated with proton pump inhibitors and iron supplements. The laparoscopic fundoplication was done. Six months later she was asymptomatic. Conclusion. Large hiatus hernia may cause iron deficiency anemia due to occult bleeding from Cameron erosions. The current therapy concept includes the surgical reconstruction of the hiatus together with gastric fundoplication in combination with the proton pump inhibitor therapy.

  3. 77 FR 48145 - Cameron Interstate Pipeline, LLC, Cameron LNG, LLC; Notice of Intent To Prepare an Environmental...

    Science.gov (United States)

    2012-08-13

    ... construction schedule would be driven by the need to complete construction of the pipeline by the planned time... from the construction and operation of the Cameron Pipeline Expansion Project and the Cameron Liquefied... Project would include construction and operation of the following facilities: Approximately 21 miles...

  4. The Trail Inventory of Cameron Prairie NWR [Cycle 2

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The purpose of this report is to create a baseline inventory of all non-motorized trails on Cameron Prairie National Wildlife Refuge. Trails in this inventory are...

  5. 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

  6. Cameron Prairie National Wildlife Refuge Habitat Management Plan

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The Cameron Prairie National Wildlife Refuge Habitat Management Plan provides a long-term vision and specific guidance on managing habitats for the resources of...

  7. Cameron Prairie National Wildlife Refuge: Comprehensive Conservation Plan

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Comprehensive Conservation Plan (CCP) was written to guide management on Cameron Prairie NWR for the next 15 years. This plan outlines the Refuge vision and...

  8. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, CAMERON COUNTY, PA, USA

    Data.gov (United States)

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

  9. 76 FR 77814 - Cameron LNG, LLC; Notice of Intent To Prepare an Environmental Assessment for the Proposed BOG...

    Science.gov (United States)

    2011-12-14

    ... Energy Regulatory Commission Cameron LNG, LLC; Notice of Intent To Prepare an Environmental Assessment... construction and operation of facilities by Cameron LNG, LLC (Cameron LNG) in Cameron Parish, Louisiana. This... encourage them to comment on their areas of concern. Summary of the Proposed Project Cameron LNG plans...

  10. James Cameron speaks out about ocean discovery and protection

    Science.gov (United States)

    Showstack, Randy

    2013-06-01

    Ocean explorer and filmmaker James Cameron delivered his DEEPSEA CHALLENGER submersible vehicle to the Woods Hole Oceanographic Institution (WHOI) in Woods Hole, Mass., on 14 June, following a cross-country journey from California. He has donated the vehicle to WHOI as part of a new Center for Marine Robotics. Cameron, who will serve on the center's advisory board, used the submersible in March 2012 to dive to the deepest part of the ocean, the Challenger Deep section of the Mariana Trench in the Pacific Ocean (see Eos, 93(50), 523, doi:10.1029/2012EO500003).

  11. 75 FR 5132 - United States v. Cameron International Corp., et al.; Proposed Final Judgment and Competitive...

    Science.gov (United States)

    2010-02-01

    .... refinery desalter market. The competition between Cameron and NATCO in the development, production, and... Cameron substantially lessened competition in the U.S. refinery desalter market. Competition between...'') to enjoin Cameron's proposed acquisition ] of NATCO, to remedy the harm to competition caused...

  12. 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,

  13. 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.

  14. The Pervasive Negative Effects of Rewards on Intrinsic Motivation: Response to Cameron (2001).

    Science.gov (United States)

    Deci, Edward L.; Ryan, Richard M.; Koestner, Richard

    2001-01-01

    Replies to commentary by J. Cameron asserting that the negative results of extrinsic reward on intrinsic motivation are limited and avoidable. Suggests that the most recent meta analysis by Cameron and others shares methodological weaknesses with an earlier analysis, lacking ecological validity. (SLD)

  15. 75 FR 61475 - Cameron LNG, LLC; Notice of Intent To Prepare an Environmental Assessment for the Proposed...

    Science.gov (United States)

    2010-10-05

    ... Energy Regulatory Commission Cameron LNG, LLC; Notice of Intent To Prepare an Environmental Assessment for the Proposed Cameron LNG Export Project and Request for Comments on Environmental Issues September... environmental assessment (EA) that will discuss the environmental impacts of the Cameron LNG Export...

  16. 75 FR 57766 - Notice of Petition To Amend Authorizations Under Section 3 of the Natural Gas Act; Cameron LNG, LLC

    Science.gov (United States)

    2010-09-22

    ... Gas Act; Cameron LNG, LLC September 15, 2010. Take notice that on September 3, 2010, Cameron LNG, LLC... liquefied natural gas (LNG) terminal facility located in Cameron Parish, Louisiana, for the additional purpose of exporting foreign- sourced LNG. This filing is available for review at the Commission in...

  17. CO Cameron band and CO2+ UV doublet emissions in the dayglow of Venus: Role of CO in the Cameron band production

    CERN Document Server

    Bhardwaj, Anil

    2013-01-01

    Present study deals with the model calculations of CO Cameron band and CO2+ ultraviolet doublet emissions in the dayglow of Venus. The overhead and limb intensities of CO Cameron band and CO2+ UV doublet emissions are calculated for low, moderate, and high solar activity conditions. Using updated cross sections, the impact of dierent e-CO cross section for Cameron band production is estimated. The electron impact on CO is the major source mechanism of Cameron band, followed by electron and photon impact dissociation of CO2. The overhead intensities of CO Cameron band and CO2+ UV doublet emissions are about a factor of 2 higher in solar maximum than those in solar minimum condition. The effect of solar EUV flux models on the emission intensity is ~30-40% in solar minimum condition and ~2-10% in solar maximum condition. At the altitude of emission peak (135 km), the model predicted limb intensity of CO Cameron band and CO2+ UV doublet emissions in moderate (F10.7 = 130) solar activity condition is about 2400 an...

  18. Reconstructing apology: David Cameron's Bloody Sunday apology in the press.

    Science.gov (United States)

    McNeill, Andrew; Lyons, Evanthia; Pehrson, Samuel

    2014-12-01

    While there is an acknowledgement in apology research that political apologies are highly mediated, the process of mediation itself has lacked scrutiny. This article suggests that the idea of reconstruction helps to understand how apologies are mediated and evaluated. David Cameron's apology for Bloody Sunday is examined to see how he constructs four aspects of apology: social actors, consequences, categorization, and reasons. The reconstruction of those aspects by British, Unionist, and Nationalist press along with reconstructions made by soldiers in an online forum are considered. Data analysis was informed by thematic analysis and discourse analysis which helped to explore key aspects of reconstruction and how elements of Cameron's apology are altered in subsequent mediated forms of the apology. These mediated reconstructions of the apology allowed their authors to evaluate the apology in different ways. Thus, in this article, it is suggested that the evaluation of the apology by different groups is preceded by a reconstruction of it in accordance with rhetorical goals. This illuminates the process of mediation and helps to understand divergent responses to political apologies.

  19. Iniciativas de planificación territorial transfronteriza en Matamoros-Brownsville (México-Estados Unidos

    Directory of Open Access Journals (Sweden)

    Xavier Oliveras González

    2016-01-01

    Full Text Available En la frontera México-Estados Unidos se han llevado a cabo varias iniciativas transfronterizas de planificación territorial, mayoritariamente entre las conurbaciones transfronterizas. La planificación transfronteriza se ha abordado desde la perspectiva de la construcción institucional; complementaria a ésta, se analizan los imaginarios espaciales en los que se apoya y, a la vez, reproduce. En la región formada por Matamoros, Tamaulipas y Brownsville, Texas, se ha contabilizado un total de seis iniciativas, en las que simultáneamente se da la desactivación de la frontera y la reproducción de la diferenciación territorial. Ello se refleja en la construcción de una unidad transfronteriza, la segregación de los usos del suelo siguiendo la división fronteriza, en el predominio del desarrollo económico y las infraestructuras de transporte transfronterizas y las relaciones desiguales entre uno y otro lado de la frontera.

  20. Cameron ulcers: An atypical source for a massive upper gastrointestinal bleed

    Institute of Scientific and Technical Information of China (English)

    Samir Kapadia; Sophia Jagroop; Atul Kumar

    2012-01-01

    Cameron lesions represent linear gastric erosions and ulcers on the crests of mucosal folds in the distal neck of a hiatal hernia (HH).Such lesions may be found in upto 50% of endoscopies performed for another indication.Though typically asymptomatic,these may rarely present as acute,severe upper gastrointestinal bleed (GIB).The aim is to report a case of a non-anemic 87-year-old female with history of HH and atrial fibrillation who presented with hematemesis and melena resulting in hypovolemic shock.Repeat esophagogastroduodenoscopy was required to identify multiple Cameron ulcers as the source.Endoscopy in a patient with HH should involve meticulous visualization of hernia neck and surrounding mucosa.Cameron ulcers should be considered in all patients with severe,acute GIB and especially in those with known HH with or without chronic anemia.

  1. Baseline coastal oblique aerial photographs collected from Calcasieu Lake, Louisiana, to Brownsville, Texas, September 9-10, 2008

    Science.gov (United States)

    Morgan, Karen L. M.; Karen A. Westphal,

    2016-04-28

    The U.S. Geological Survey (USGS), as part of the National Assessment of Coastal Change Hazards project, conducts baseline and storm-response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). On September 9-10, 2008, the USGS conducted an oblique aerial photographic survey from Calcasieu Lake, Louisiana, to Brownsville, Texas, aboard a Cessna C-210 (aircraft) at an altitude of 500 feet (ft) and approximately 1,000 ft offshore. This mission was flown to collect baseline data for assessing incremental changes of the beach and nearshore area, and the data can be used in the assessment of future coastal change.The photographs provided in this report are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft at the time the photograph was taken and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML file was created using the photographic navigation files. The KML file can be found in the kml folder.

  2. Flows Associated to Cameron-martin Type Vector Fields on Path Spaces Over a Riemannian Manifold

    Institute of Scientific and Technical Information of China (English)

    Jing-xiao ZHANG

    2013-01-01

    The flow on the Wiener space associated to a tangent process constructed by Cipriano and Cruzeiro,as well as by Gong and Zhang does not allow to recover Driver's Cameron-Martin theorem on Riemannian path space.The purpose of this work is to refine the method of the modified Picard iteration used in the previous work by Gong and Zhang and to try to recapture and extend the result of Driver.In this paper,we establish the existence and uniqueness of a flow associated to a Cameron-Martin type vector held on the path space over a Riemannian manifold.

  3. Alexander Cameron Rutherford: A Gentleman and a Scholar. Documents in the Classroom.

    Science.gov (United States)

    Hodysh, Henry W.

    2000-01-01

    Provides information about Alexander Cameron Rutherford, a provincial politician. Includes a letter written by Rutherford in 1912 that provides insights into his responsibilities to the general public, information about Rutherford himself, the economic conditions of Alberta, Canada in 1912, and information about the individual to whom it was…

  4. Will Cameron get what he wants? Anticipating reactions to Britain's EU reform proposals

    NARCIS (Netherlands)

    S. Blockmans; S. Weiss

    2015-01-01

    After months of speculation about the British Prime Minister’s specific demands in terms of the "renegotiation" of the UK’s relationship with the EU, David Cameron has bowed to pressure from the heads of state or government of the other EU member states and committed himself to setting out the UK’s

  5. Cameron Ulcer Causing Severe Anemia in a Patient with Diaphragmatic Hernia

    Science.gov (United States)

    Gupta, Prashant; Suryadevara, Madhu; Das, Avash; Falterman, James

    2015-01-01

    Patient: Female, 51 Final Diagnosis: Cameron’s ulcer Symptoms: — Medication: — Clinical Procedure: Endoscopy Specialty: Gastroenterology and Hepatology Objective: Rare co-existance of disease or pathology Background: Cameron lesions are linear gastric erosions on the mucosal folds at the diaphragmatic impressions found in patients with large hiatal hernias. While usually asymptomatic, hiatal hernias can result in serious sequelae, as this case report will clearly illustrate. Cameron lesions are clinically significant because of their ability to cause significant acute, chronic, or obscure gastrointestinal bleeding, often requiring blood transfusions. Case Report: In this report, we present the case of a 51-year-old white woman who originally presented to the Emergency Department with complaints of a runny nose, dry cough, generalized weakness, and muscle cramping ascribed to a viral infection. However, closer examination revealed substantial pallor with pale conjunctiva prompting further workup that revealed substantial anaemia. Upon further inquiry of her past medical history, she revealed the need for previous blood transfusions, and meticulous review of her medical record indicated a previous diagnosis of hiatal hernia with the presence of Cameron lesions based on esophagogastroduodenoscopy 2 years prior. Conclusions: This case emphasizes the need for a high index of suspicion for Cameron lesions as a causative agent of substantial blood loss in patients with hiatal hernias after other common causes of gastrointestinal bleeding have been ruled out. PMID:26467083

  6. 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.

  7. The genus Halycaea Cameron (Hymenoptera: Braconidae: Doryctinae) in the Oriental region

    NARCIS (Netherlands)

    Belokobylskij, S.A.

    2002-01-01

    The Oriental species of the genus Halycaea Cameron are revised. Three new species of Halycaea are described and figured: H. rubata spec. nov. (Malaysia, South China (Taiwan)), H. solo spec. nov. (Malaysia) and H. sonata spec. nov. (Vietnam). H. javana (Fullaway) comb. nov. is redescribed and a key t

  8. 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…

  9. 77 FR 10732 - Cameron LNG, LLC; Application for Long-Term Authorization To Export Domestically Produced...

    Science.gov (United States)

    2012-02-23

    ... LNG, LLC; Application for Long-Term Authorization To Export Domestically Produced Liquefied Natural... notice of receipt of an application (Application), filed on December 21, 2011, by Cameron LNG, LLC... annum (mtpa) of domestically produced liquefied natural gas (LNG) (equivalent to approximately...

  10. Model for the Production of CO Cameron band emission in Comet 1P/Halley

    CERN Document Server

    Raghuram, Susarla

    2012-01-01

    The abundance of CO2 in comets has been derived using CO Cameron band (a3pi --> X1Sigma+) emission assuming that photodissociative excitation of CO2 is the main production process of CO(a3pi). On comet 1P/Halley the Cameron (1-0) band has been observed by International Ultraviolet Explorer (IUE) on several days in March 1986. A coupled chemistry-emission model is developed for comet 1P/Halley to assess the importance of various production and loss mechanisms of CO(a3pi) and to calculate the intensity of Cameron band emission on different days of IUE observation. Two different solar EUV flux models, EUVAC of Richards et al. (1994) and SOLAR2000 of Tobiska (2004), and different relative abundances of CO and CO2, are used to evaluate the role of photon and photoelectron in producing CO molecule in a3pi state in the cometary coma. It is found that in comet 1P/Halley 60--70% of the total intensity of the Cameron band emission is contributed by electron impact excitation of CO and CO2, while the contribution from p...

  11. Intrinsic Motivation and Extrinsic Rewards: A Commentary on Cameron and Pierce's Meta-Analysis.

    Science.gov (United States)

    Lepper, Mark R.; And Others

    1996-01-01

    Provides a critical analysis of the meta-analysis of J. Cameron and W. D. Pierce (1994) of the experimental literature on the effects of extrinsic rewards on intrinsic motivation. Their overly simplistic conclusion has little theoretical or practical value and results from misuse of meta-analytic procedures. (SLD)

  12. 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

  13. 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...

  14. 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...

  15. 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. 

  16. Mars thermospheric scale height: CO Cameron and CO2+ dayglow observations from Mars Express

    Science.gov (United States)

    Stiepen, A.; Gérard, J.-C.; Bougher, S.; Montmessin, F.; Hubert, B.; Bertaux, J.-L.

    2015-01-01

    The CO Cameron (170-270 nm) and CO2+ ultraviolet doublet (298 and 299 nm) emissions have been observed on the Mars dayside with Mars Express Spectroscopy for Investigation of Characteristics of the Atmosphere of Mars (SPICAM) instrument in the limb viewing mode. These ultraviolet emissions ultimately arise from the excitation of the neutral atmosphere by solar extreme ultraviolet radiation. We analyze a wide dataset covering the years 2003-2013 to determine the scale height of the thermosphere and its variability. We show under which conditions the neutral thermospheric temperature is derived from the CO Cameron and CO2+ emission topside scale height of the limb profiles. We show that emission scale heights are highly variable, ranging from 8.4 to 21.8 km and analyze possible differences between CO Cameron and CO2+-derived scale heights. These large variations appear to dominate over the long-term control exerted by the solar flux reaching the top of the atmosphere during the SPICAM observing period when solar minimum to moderate conditions prevailed. Solar heating impacting the topside thermosphere scale height is apparently overwhelmed by other forcing processes (e.g. waves and tides) during this observing period. It also appears that the crustal residual magnetic field does not significantly influence the scale height of the thermosphere. Furthermore, our analysis suggests that local variations in the thermospheric scale height and associated temperature are equal to or larger than seasonal-latitudinal variability.

  17. Revision of the types of species of Alloxysta described by Cameron and Fergusson (Hymenoptera: Figitidae: Charipinae and deposited in the Natural History Museum (London, including a key to the fauna of Great Britain

    Directory of Open Access Journals (Sweden)

    Juli Pujade-Villar

    2013-08-01

    Full Text Available Type material of the species of Alloxysta described by Cameron and Fergusson and deposited in the Natural History Museum of London has been revised. Seven species are considered valid: Alloxysta abdera Fergusson, 1986, A. basimacula (Cameron, 1886, A. crassa (Cameron, 1889, A. mullensis (Cameron, 1883, A. piceomaculata (Cameron, 1883, A. pleuralis (Cameron, 1879 and A. semiaperta Fergusson, 1986. A. basimacula, A. crassa, A. maculicollis (Cameron, 1886, A. perplexa (Cameron, 1889 and A. piceomaculata are here removed from synonymy with A. macrophadna (Hartig,1841. A. ruficeps (Cameron, 1883 is removed from synonymy with A. victrix (Westwood, 1833. A. caledonica (Cameron, 1886 and A. perplexa are here synonymized with A. basimacula. A. maculicollis, A. ruficeps and A. ruficollis (Cameron, 1883 are here synonymized with A. castanea (Hartig, 1841. A. ancylocera (Cameron, 1886 was correctly synonymized with A. fuscicornis (Hartig, 1841, A. curvicornis (Cameron, 1883 was correctly synonymized with A. victrix and A. filicornis (Cameron, 1889 was correctly synonymized with A. macrophadna. Complete redescriptions and illustrations are given for valid species. A key for all the Alloxysta species found so far in Great Britain is given.

  18. Model for Cameron band emission in comets: A case for EPOXI mission target comet 103P/Hartley 2

    CERN Document Server

    Bhardwaj, Anil

    2010-01-01

    The CO2 production rate has been derived in comets using the Cameron band (a3Pi - X1Sigma) emission of CO molecule assuming that photodissociative excitation of CO2 is the main production mechanism of CO in a3Pi metastable state. We have devoloped a model for the production and loss of CO(a3Pi) which has been applied to comet 103P/Hartley 2: the target of EPOXI mission. Our model calculations show that photoelectron impact excitation of CO and dissociative excitation of CO2 can together contribute about 60-90% to the Cameron band emission. The modeled brightness of (0-0) Cameron band emission on comet Hartley 2 is consistent with Hubble Space Telescope observations for 3-5% CO2 (depending on model input solar flux) and 0.5% CO relative to water, where photoelectron impact contribution is about 50-75%. We suggest that estimation of CO2 abundances on comets using Cameron band emission may be reconsidered. We predict the height integrated column brightness of Cameron band of ~1300 R during EPOXI mission encounte...

  19. Time Series Analysis of Heavy Metal Concentrations along the Watershed Gradient in Cameron Highlands: Geospatial Approaches

    Science.gov (United States)

    Haron, S. H.; Ismail, B. S.; Mispan, M. R.; Abd Rahman, N. F.; Khalid, K.; Rasid, M. Z. Abdul; Sidek, L. M.

    2016-03-01

    Heavy metal, particularly cadmium, lead, and arsenic, constitute a significant potential threat to human health. Some metals are extremely toxic to humans and the toxic heavy metals of greatest concern include cadmium, lead, and arsenic. The objective of the study conducted was to determine the accumulation and distribution status of heavy metal cadmium (Cd) in the sediment of Bertam River from September 2014 to February 2015 in the agricultural areas of Cameron Highlands, Malaysia. The sediment samples were collected randomly in three replicates from ten sampling points in the agricultural areas of Cameron Highlands. The heavy metals in the sediment were extracted using the wet acid method and the sample concentrations are then tested for metal concentrations by the spectrography method using Inductively Coupled Plasma (ICP) spectrography. Inverse distance weighting (IDW) was used to create a map of metal concentrations for a point on the polygon dataset spatial interpolation. There is an increasing trend of Cd from the upstream to downstream stations along Bertam River during the rainy season. The activity range of Cd is 0.07 to 2.83 µg/g during the rainy season, whereas, during the dry season, Cd activity ranged from 0.26-0.83µg/g.

  20. Prediction of sedimentation using integration of RS, RUSLE model and GIS in Cameron Highlands, Pahang, Malaysia

    Science.gov (United States)

    Ghani, A. H. A.; Lihan, T.; Rahim, S. A.; Musthapha, M. A.; Idris, W. M. R.; Rahman, Z. A.

    2013-11-01

    Soil erosion and sediment yield are strongly affected by land use change. Spatially distributed erosion models are of great interest to predict soil erosion loss and sediment yield. Hence, the objective of this study was to determine sediment yield using Revised Universal Soil Loss Equation (RUSLE) model in Geographical Information System (GIS) environment at Cameron Highlands, Pahang, Malaysia. Sediment yield at the study area was determined using RUSLE model in GIS environment The RUSLE factors were computed by utilizing information on rainfall erosivity (R) using interpolation of rainfall data, soil erodibility (K) using soil map and field measurement, vegetation cover (C) using satellite images, length and steepness (LS) using contour map and conservation practices using satellite images based on land use/land cover. Field observations were also done to verify the predicted sediment yield. The results indicated that the rate of sediment yield in the study area ranged from very low to extremely high. The higher SY value can be found at middle and lower catchments of Cameron Highland. Meanwhile, the lower SY value can be found at the north part of the study area. Sediment yield value turned out to be higher close to the river due to the topographic characteristic, vegetation type and density, climate and land use within the drainage basin.

  1. Use of semipermeable membrane devices (SPMD) to assess occurrence and estimate water concentrations of selected organic compounds in the Rio Grande from Presidio to Brownsville, Texas

    Science.gov (United States)

    Moring, J. Bruce

    1999-01-01

    In Texas, the Rio Grande forms the international boundary between Mexico and the United States and extends about 2,000 kilometers from El Paso to the mouth of the Rio Grande just south of Brownsville, where the river flows into the Gulf of Mexico (fig. 1). The North American Free Trade Agreement (NAFTA) has resulted in increased industrialization and population growth on both sides of the international boundary, which in turn has focused attention on environmental issues, including water quality and quantity in the Rio Grande. Nonpoint urban and agricultural runoff and wastewater discharges from industrial and municipal facilities are potential sources of organic compounds such as polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs). Historical applications of organochlorine pesticides such as DOT and chlordane in the United States and Mexico have resulted in a continuing source of these environmentally longlived compounds in the Rio Grande Basin. In the United States, all organochlorine pesticides either have been banned entirely or have use restrictions. However, in Mexico, the organochlorine pesticide DOT is still in use, although with some application restrictions.

  2. 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...

  3. 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.

  4. A taxonomic study on the genus Ettchellsia Cameron, with descriptions of three new species (Hymenoptera, Megalyridae, Dinapsini

    Directory of Open Access Journals (Sweden)

    Toshiharu Mita

    2012-12-01

    Full Text Available Three new species of Ettchellsia Cameron, namely, E. ignita sp. n. from Peninsular Malaysia and Borneo, E. nigripes sp. n. from Sulawesi and E. reidi sp. n. from Borneo are described and illustrated. A key to the species of Ettchellsia is provided based on females.

  5. A new species of the genus Shelfordia Cameron (Hymenoptera: Braconidae) with very long ovipositor, from NE India

    NARCIS (Netherlands)

    Achterberg, van C.

    1993-01-01

    A new species of the Indo-Australian genus Shelfordia Cameron, 1902, viz. S longicaudata spec. nov. from Sikkim (India) with an exceptionally long ovipositor is described and illustrated. The Shelfordiagroup is not recognized, and the genus Rostraulax Quicke, 1984, is synonymized with Shelfordia.

  6. Electron-impact excitation of the Cameron system (a(3)pi yields x(1) Sigma) transition of CO

    Science.gov (United States)

    Erdman, P. W.; Zipf, E. C.

    1983-01-01

    The results of experimental observations of the Cameron bands of CO produced by electron impacts with CO and CO2 are presented, noting that the bands have been detected in the atmospheres of both Mars and Venus. The study was initiated to account for Conway's (1981) data that the Martian airglow displayed cross-sectional dissociative excitation of the Cameron bands seven time larger than laboratory measurements by Ajello (1971). Spectrometer measurements were obtained of processes occurring in a chamber filled with CO or CO2 gas being bombarded by an electron beam. A value three times higher than the previous lab oratory estimate was obtained. Reasons for the discrepancy are discussed, including a present factor of two error in laboratory estimates.

  7. 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.

  8. Probable Maximum Precipitation (PMP) over mountainous region of Cameron Highlands- Batang Padang Catchment of Malaysia

    Science.gov (United States)

    Sidek, L. M.; Mohd Nor, M. D.; Rakhecha, P. R.; Basri, H.; Jayothisa, W.; Muda, R. S.; Ahmad, M. N.; Razad, A. Z. Abdul

    2013-06-01

    The Cameron Highland Batang Padang (CHBP) catchment situated on the main mountain range of Peninsular Malaysia is of large economical importance where currently a series of three dams (Sultan Abu Bakar, Jor and Mahang) exist in the development of water resources and hydropower. The prediction of the design storm rainfall values for different return periods including PMP values can be useful to review the adequacy of the current spillway capacities of these dams. In this paper estimates of the design storm rainfalls for various return periods and also the PMP values for rainfall stations in the CHBP catchment have been computed for the three different durations of 1, 3 & 5 days. The maximum values for 1 day, 3 days and 5 days PMP values are found to be 730.08mm, 966.17mm and 969.0mm respectively at Station number 4513033 Gunung Brinchang. The PMP values obtained were compared with previous study results undertaken by NAHRIM. However, the highest ratio of 1 day, 3 day and 5 day PMP to highest observed rainfall are found to be 2.30, 1.94 and 1.82 respectively. This shows that the ratio tend to decrease as the duration increase. Finally, the temporal pattern for 1 day, 3day and 5 days have been developed based on observed extreme rainfall at station 4513033 Gunung Brinchang for the generation of Probable Maximum Flood (PMF) in dam break analysis.

  9. 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.

  10. Brownsville Ship Channel Hydrodynamic Modeling

    Science.gov (United States)

    2012-01-01

    31  Figure 31. Laguna Madre analysis locations...wave resuspension and circulation of sediment in Laguna Madre .2 The navigation impacts are assessed by performing model simulations of the...to better resolve the shallow-water habitats, including South Bay, Bahia Grande, and South Laguna Madre . These habitats are discussed further

  11. EVALUATION OF RAINFALL-RUNOFF EROSIVITY FACTOR FOR CAMERON HIGHLAND, PAHANG, MALAYSIA

    Directory of Open Access Journals (Sweden)

    Abdulkadir Taofeeq Sholagberu

    2016-07-01

    Full Text Available Rainfall-runoff is the active agent of soil erosion which often resulted in land degradation and water quality deterioration. Its aggressiveness to induce erosion is usually termed as rainfall erosivity index or factor (R. R-factor is one of the factors to be parameterized in the evaluation of soil loss using the Universal Soil Loss Equation and its reversed versions (USLE/RUSLE. The computation of accurate R-factor for a particular watershed requires high temporal resolution rainfall (pluviograph data with less than 30-minutes intensities for at least 20 yrs, which is available only in a few regions of the world. As a result, various simplified models have been proposed by researchers to evaluate R-factor using readily available daily, monthly or annual precipitation data. This study is thus aimed at estimating R-factor and to establish an approximate relationship between R-factor and rainfall for subsequent usage in the estimation of soil loss in Cameron highlands watershed. The results of the analysis showed that the least and peak (critical R-factors occurred in the months of January and April with 660.82 and 2399.18 MJ mm ha-1 h-1year-1 respectively. Also, it was observed that erosivity power starts to increase from the month of January through April before started falling in the month of July. The monthly and annual peaks (critical periods may be attributed to increased rainfall amount due to climate change which in turn resulted to increased aggressiveness of rains to cause erosion in the study area. The correlation coefficient of 0.985 showed that there was a strong relationship rainfall and R-factor.

  12. Transmission tower classification based on landslide risk Map generated by Geographical Information System (GIS) at Cameron Highlands

    Science.gov (United States)

    K, Hazwani N.; O, Rohayu C.; U, Fathoni; Baharuddin, I. N. Z.; A, Azwin Z.

    2013-06-01

    Transmission tower is usually locates at remote area which is covered by hilly topography. Landslide is mainly occurring at hilly area and causing failure to the tower structure. This phenomenon subsequently will affect the national electricity supply. A landslide risk hazard map is generated using Geographical Information System (GIS). Risk classification is introduced to initiate the monitoring process along Jor-Bintang transmission line, Cameron Highland, Pahang. The classification has been divided into three categories, which are low, medium and high. This method can be applied in slope monitoring activities since all towers have been classified based on their risk level. Therefore, maintenance schedule can be planned smoothly and efficiently.

  13. Impact of solar EUV flux on CO Cameron band and CO2+ UV doublet emissions in the dayglow of Mars

    CERN Document Server

    Jain, Sonal Kumar

    2011-01-01

    This study is aimed at making a calculation about the impact of the two most commonly used solar EUV flux models -- SOLAR2000 (S2K) of \\cite{Tobiska04} and EUVAC model of \\cite{Richards94} -- on photoelectron fluxes, volume emission rates, ion densities and CO Cameron and CO$_2^+$ UV doublet band dayglow emissions on Mars in three solar activity conditions: minimum, moderate, and maximum. Calculated limb intensities profiles are compared with SPICAM/Mars Express and Mariner observations. Analytical yield spectrum (AYS) approach has been used to calculate photoelectron fluxes in Martian upper atmosphere. Densities of prominent ions and CO molecule in excited triplet a$^3\\Pi$ state are calculated using major ion-neutral reactions. Volume emission rates of CO Cameron and CO$_2^+$ UV doublet bands have been calculated for dif{}ferent observations (Viking condition, Mariner and Mars Express SPICAM observations) on Mars. For the low solar activity condition, dayglow intensities calculated using the S2K model are $\\...

  14. Use of multi-temporal SPOT-5 satellite images for land degradation assessment in Cameron Highlands, Malaysia using Geospatial techniques

    Science.gov (United States)

    Nampak, Haleh; Pradhan, Biswajeet

    2016-07-01

    Soil erosion is the common land degradation problem worldwide because of its economic and environmental impacts. Therefore, land-use change detection has become one of the major concern to geomorphologists, environmentalists, and land use planners due to its impact on natural ecosystems. The objective of this paper is to evaluate the relationship between land use/cover changes and land degradation in the Cameron highlands (Malaysia) through multi-temporal remotely sensed satellite images and ancillary data. Land clearing in the study area has resulted increased soil erosion due to rainfall events. Also unsustainable development and agriculture, mismanagement and lacking policies contribute to increasing soil erosion rates. The LULC distribution of the study area was mapped for 2005, 2010, and 2015 through SPOT-5 satellite imagery data which were classified based on object-based classification. A soil erosion model was also used within a GIS in order to study the susceptibility of the areas affected by changes to overland flow and rain splash erosion. The model consists of four parameters, namely soil erodibility, slope, vegetation cover and overland flow. The results of this research will be used in the selection of the areas that require mitigation processes which will reduce their degrading potential. Key words: Land degradation, Geospatial, LULC change, Soil erosion modelling, Cameron highlands.

  15. De la pantalla al papel : la novelización de 'Abyss' (1989) de James Cameron por Orson Scott Card (1997)

    OpenAIRE

    Martín Alegre, Sara

    2015-01-01

    Texto anteriormente publicado como 'From the screen to the printed page: Orson Scott Card's novelization of James Cameron's The Abyss'. En: Pere Guardia, John Stone (eds.). Proceedings of the 20th International AEDEAN Conference. Barcelona: Facultat de Filologia, Universitat de Barcelona, 1997. 509-514.

  16. Parameters affecting HS emissions removal and re-circulating water quality in a pilot-scale sequential biological treatment system at a wastewater lift station in Brownsville, Texas, USA.

    Science.gov (United States)

    Karre, Anand K; Bairu, Pavan; Jones, Kim D; Paca, Jan

    2012-01-01

    In this study, a pilot-scale sequential biological treatment system combining a biotrickling filter and biofilter was used to optimize the removal of variable emission H(2)S loadings ranging from 30 to 120 g m(-3) h(-1)at a wastewater lift station in Brownsville, Texas USA. The biotrickling filter recycle water pH remained between 2.0 to 3.0 during the four months of unit operation and the overall removal efficiency for H(2)S was >99%. The biotrickling filter removal efficiency was 70 ± 8%, with an elimination capacity of 10 to 80 g m(-3) h(-1) while the biofilter elimination capacity ranged from 10 to 40 g m(-3) h(-1). The sequential treatment system was operated initially at an Empty Bed Residence Time (EBRT) of 120 s (50 s for the biotrickling filter and 70 s for biofilter) for two months and then at an EBRT of 60 s (25 s for biotrickling filter and 35s for biofilter) for the remainder of the operating period; remarkably, there was only a slight decrease in removal efficiency at 60 s EBRT. In order to qualitatively evaluate the changes in recycle water quality in the system on the performance of the unit in precipitating sulfur species, the equilibrium chemical model, Visual MINTEQ was employed. The model predicted speciation results based on the feed water quality and sulfur loadings, and also forecast some iron-sulfur complexes which have potential to form some complex precipitates. This research demonstrated that low pH re-circulating water quality in the biological treatment of H(2)S was possible without compromising the high removal efficiency, and that an improved understanding of the recycle water chemistry of the trickling unit of a sequential treatment system could be useful in the overall optimization of the process.

  17. Geoheritage at the Equator: Selected Geosites of São Tomé Island (Cameron Line, Central Africa

    Directory of Open Access Journals (Sweden)

    Maria Helena Henriques

    2015-01-01

    Full Text Available This work presents, for the first time, an overview of the rich geodiversity outcropping in the São Tomé island, one of the two islands that make up the archipelago of São Tomé and Príncipe, the second smallest state of Africa in area. Located at the equator, in the alignment known as the “Cameroon Volcanic Line”, this archipelago represents a privileged area for the comparative study between oceanic and continental alkaline volcanism, and therefore between the subcontinental and suboceanic mantle. Ten geosites of São Tomé island were selected, described and evaluated on the basis of their geoheritage value and using a qualitative system of classification, which integrates both the meaning attributed to the objects by scientific communities and the public understanding of such meanings related to its social use. The selected geosites display different heritage values (documental, scenic, symbolic, iconographic and indicial potentially usable for different purposes, namely scientific and educational, but mostly tourism. Geotourism can play a key role in the promotion of sustainable development in the Democratic Republic of São Tomé and Príncipe, and the geosites here described are likely to ground a geo-itinerary on this “pearl” of the Cameron Line.

  18. Molecular phylogeny of Cotesia Cameron, 1891 (Insecta: Hymenoptera: Braconidae: Microgastrinae) parasitoids associated with Melitaeini butterflies (Insecta: Lepidoptera: Nymphalidae: Melitaeini).

    Science.gov (United States)

    Kankare, Maaria; Shaw, Mark R

    2004-07-01

    Phylogenetic relationships among Cotesia Cameron (Braconidae) species parasitising Melitaeini butterflies were examined using DNA sequence data (mitochondrial cytochrome oxidase subunit I and NADH1 dehydrogenase genes, nuclear ribosomal DNA internal transcribed spacer region) as well as 12 microsatellite loci. Molecular data were available from ostensibly six species of Cotesia from 16 host butterfly species in Europe, Asia, and North America. Analysis of the combined sequence data using both maximum parsimony and maximum likelihood revealed two distinct Cotesia clades. In one clade (C. acuminata (Reinhard); C. bignellii (Marshall)) host ranges are apparently narrow and, although Euphydryas (s. lato) is well-utilised, permeation of Melitaea (s. lato) has been slight. In the other clade (C. melitaearum (Wilkinson); C. lycophron (Nixon); C. cynthiae (Nixon)) host utilization across the Melitaeini as a whole is more extensive and the data are consistent with more recent, or active, speciation processes. Neighbour-joining trees calculated separately for the two main clades based on chord distance (DCE) of microsatellite allele frequencies were consistent with phylogenetic trees obtained from the sequence data. Our analysis strongly suggests the presence of several additional, previously unrecognised, Cotesia species parasitising this group of butterflies.

  19. 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.

  20. 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.

  1. The nuclear physics input to astrophysics modelling, and the r- and p-processes: Where do we stand 50 years after B^2FH and Cameron?

    Science.gov (United States)

    Arnould, M.

    2008-11-01

    This is a brief review of the progress made since the seminal contributions to the foundations of the theory of nucleosynthesis by M. Burbidge, G. Burbidge, Fowler and Hoyle, and by Cameron. The reviewed topics are (1) the nuclear physics input to the nucleosynthesis models (nuclear masses, fission, rates of β-decays, neutrino reactions, photoreactions, and nuclear charged particle-induced or neutron-induced reactions), (2) the nuclear physics and astrophysics aspects of the r-process, and (3) the same items for the p-process.

  2. Flood-plain delineation for Occoquan River, Wolf Run, Sandy Run, Elk Horn Run, Giles Run, Kanes Creek, Racoon Creek, and Thompson Creek, Fairfax County, Virginia

    Science.gov (United States)

    Soule, Pat LeRoy

    1978-01-01

    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 portion of Cameron Run above Lake Barcroft. Maps having a 2-foot contour interval and a horizontal scale of 1 inch equals 100 feet were 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 Occoquan River and its tributaries within Fairfax County and those streams on Mason Neck within Fairfax County tributary to the Potomac River. (Woodard-USGS)

  3. 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...

  4. 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...

  5. Allegheny County Address Points

    Data.gov (United States)

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

  6. Allegheny County 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...

  7. THE GENUS ROTHNEYIA CAMERON (HYMENOPTERA, ICHNEUMONIDAE)IN CHINA WITH DESCRIPTION OF ONE NEW SPECIES%中国洛姬蜂属(膜翅目,姬蜂科)及一新种记述

    Institute of Scientific and Technical Information of China (English)

    孙淑萍; 盛茂领

    2010-01-01

    报道在江西省发现的洛姬蜂属Rothneyia Cameron 1新种:江西洛姬蜂Rothneyia jiangxiensis sp.nov..指出了与近似种的鉴别特征并附彩色特征图.编制了我国已知种检索表.

  8. 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

  9. Neural tube defect surveillance and folic acid intervention--Texas-Mexico border, 1993-1998.

    Science.gov (United States)

    2000-01-14

    Neural tube defects (NTDs) are common and serious malformations that originate early in pregnancy. In the United States, approximately 4000 pregnancies each year are affected by the two most common NTDs (spina bifida and anencephaly). In 1992, the Texas Department of Health (TDH), with support from a CDC cooperative agreement, implemented the Texas Neural Tube Defect Project (TNTDP), a program of NTD surveillance and risk-reduction activities in the 14 counties that border Mexico. The project was initiated in response to an anencephaly cluster identified during 1990-1991 in Brownsville (Cameron County), Texas (1). Whether the high anencephaly rate (19.7 per 10,000 live births) was unique to Cameron County or was characteristic of the entire border was unknown. This report summarizes NTD surveillance rates for the 14 Texas-Mexico border counties for 1993-1998 and presents preliminary results of TNTDP efforts to prevent the recurrence of NTDs by providing folic acid to high-risk women. Findings indicate that the baseline rate along the border is high (13.4 per 10,000 live births) and largely reflects the rate among Hispanics (13.8). Although a longer period is needed to obtain definitive results, folic acid appears to be effective for reducing the risk for NTD recurrence in Hispanics.

  10. 75 FR 49506 - Texas; Major Disaster and Related Determinations

    Science.gov (United States)

    2010-08-13

    ... major disaster: Cameron, Hidalgo, Jim Hogg, Maverick, Starr, Val Verde, Webb, and Zapata Counties for Individual Assistance. Cameron, Hidalgo, Jim Hogg, Jim Wells, Maverick, Starr, Webb, Willacy, and...

  11. Redescription of Campoletis sonorensis (Cameron, 1886) (Hymenoptera, Ichneumonidae, Campopleginae), parasitoid of Spodoptera frugiperda (J. E. Smith, 1797) (Lepidoptera, Noctuidae) in Brazil.

    Science.gov (United States)

    Camargo, L F; Brito, R A; Penteado-Dias, A M

    2015-11-01

    The fall armyworm Spodoptera frugiperda (Lepidoptera; Noctuidae) is a voracious pest of numerous crops of economic importance throughout the New World. In Brazil, its larvae are attacked by several species of parasitoid wasps, making them potential candidate as biological control agents against this pest. A survey of the parasitoid fauna on S. frugiperda in maize crops throughout Brazil reveals two species of Campoletis, which are morphologicaly very similar species. In this paper we combine these data with pictures from the type material of C. sonorensis and C. flavicincta, as well as their descriptions to provide a redescription to Campoletis sonorensis (Cameron, 1886) using for this both morphological characters and DNA Barcoding (Hebert et al., 2003) information, in an attempt to help with the correct identification of the taxa to improve biological control studies.

  12. Redescription of Campoletis sonorensis (Cameron, 1886 (Hymenoptera, Ichneumonidae, Campopleginae, parasitoid of Spodoptera frugiperda (J. E. Smith, 1797 (Lepidoptera, Noctuidae in Brazil

    Directory of Open Access Journals (Sweden)

    L. F. Camargo

    Full Text Available Abstract The fall armyworm Spodoptera frugiperda (Lepidoptera; Noctuidae is a voracious pest of numerous crops of economic importance throughout the New World. In Brazil, its larvae are attacked by several species of parasitoid wasps, making them potential candidate as biological control agents against this pest. A survey of the parasitoid fauna on S. frugiperda in maize crops throughout Brazil reveals two species of Campoletis, which are morphologicaly very similar species. In this paper we combine these data with pictures from the type material of C. sonorensis and C. flavicincta, as well as their descriptions to provide a redescription to Campoletis sonorensis (Cameron, 1886 using for this both morphological characters and DNA Barcoding (Hebert et al., 2003 information, in an attempt to help with the correct identification of the taxa to improve biological control studies.

  13. 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.

  14. 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...

  15. Allegheny County Homicides

    Data.gov (United States)

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

  16. 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...

  17. 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...

  18. 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,...

  19. 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...

  20. 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.

  1. 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...

  2. 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...

  3. 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...

  4. 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,...

  5. 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,...

  6. 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,...

  7. Westmoreland County Crash Data

    Data.gov (United States)

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

  8. 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...

  9. 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,...

  10. Allegheny County Crash Data

    Data.gov (United States)

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

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. Allegheny County Asbestos Permits

    Data.gov (United States)

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

  17. Allegheny County Hypertension Hospitalization

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Hypertension Hospitalization data for 2013-2015, by age group, for Allegheny County. The information provided shows the number of individuals who were diagnosed...

  18. 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.

  19. Prediction of CO Cameron band and atomic oxygen visible emissions in comets C/2013 A1 (Siding Spring) and 67P/Churyumov-Gerasimenko

    Science.gov (United States)

    Raghuram, S.; Bhardwaj, A.

    2014-04-01

    The forbidden emissions of cometary species have special importance in the cometary spectra. The excited species which produce these forbidden emissions can not be populated by direct solar radiation excitation. These metastable species are produced mainly from dissociative excitation and ion-electron recombination reactions. Thus the observed emissions have been used as tracers of parent cometary species. The CO (a3 -X1) is a forbidden transition which produces Cameron band emission in the ultraviolet region during dissociative excitation of CObearing neutrals and the dissociative recombination of CO-ionic species in the cometary coma. Similarly, the forbidden transitions of metastable atomic oxygen 1S-3P (green, 5577 Å), and 1D-3P (red-doublet, 6300 and 6364 Å) produce line emissions in the visible region. These emissions have been used to probe H2O and CO2 abundances in the comets. We have developed a coupled chemistry-emission model to study various production and loss mechanisms of these excited metastable states. The model is applied to comet C/2013 A1 (Siding Spring) which will have a close fly-by of Mars during mid October, 2014, when Indian Mars orbiter Mission and NASA's Maven, would be orbiting the planet. The model is also applied on ESA's Rosetta mission target comet 67P/Churyumov-Gerasimenko which will be useful for different observations over various heliocentric distances. The predicted intensities and quantitative analysis of these emissions can be a theoretical support for various space and ground-based observations.

  20. Transition moments, Franck-Condon factors, and lifetimes of forbidden transitions - Calculation of the intensity of the Cameron system of CO.

    Science.gov (United States)

    James, T. C.

    1971-01-01

    Discussion of the factors affecting the intensity of forbidden transitions in diatomic molecules. It is shown that using Franck-Condon factors to predict relative band intensities is less reliable for forbidden transitions than it is for allowed transitions. The intensity of the 0,0 and 1,0 bands of the a super 3 pi-super 1 sigma Cameron system of CO are calculated using perturbation theory. The intensity arises from spin-orbit mixing of the A super 1 pi state with the a super 3 pi state. From the known spin-orbit coupling constant of the a super 1 pi state and the known intensity of the fourth positive A super 1 pi-super 1 sigma transition, the oscillator strengths of the 0,0 and 1,0 bands are calculated to be 1.63 x 10 to the minus 7th power and 1.99 x 10 to the minus 7th power. Lifetimes of various rotational levels are shown to range from 2.9 to several hundred milliseconds.-

  1. 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)...

  2. 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...

  3. 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...

  4. Hancock County Awards Gala

    Science.gov (United States)

    2008-01-01

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

  5. 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...

  6. Sheridan County Recreation Plan.

    Science.gov (United States)

    Webster, Elaine

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

  7. Allegheny County Block Areas

    Data.gov (United States)

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

  8. Use of high resolution Airborne Laser Scanning data for landslide interpretation under mixed forest and tropical rainforest: case study in Barcelonnette, France and Cameron Highlands, Malaysia

    Science.gov (United States)

    Azahari Razak, Khamarrul; Straatsma, Menno; van Westen, Cees; Malet, Jean-Philippe; de Jong, Steven M.

    2010-05-01

    Airborne Laser Scanning (ALS) is the state of the art technology for topographic mapping over a wide variety of spatial and temporal scales. It is also a promising technique for identification and mapping of landslides in a forested mountainous landscape. This technology demonstrates the ability to pass through the gaps between forest foliage and record the terrain height under vegetation cover. To date, most of the images either derived from satellite imagery, aerial-photograph or synthetic aperture radar are not appropriate for visual interpretation of landslide features that are covered by dense vegetation. However, it is a necessity to carefully map the landslides in order to understand its processes. This is essential for landslide hazard and risk assessment. This research demonstrates the capabilities of high resolution ALS data to recognize and identify different types of landslides in mixed forest in Barcelonnette, France and tropical rainforest in Cameron Highlands, Malaysia. ALS measurements over the 100-years old forest in Bois Noir catchment were carried out in 2007 and 2009. Both ALS dataset were captured using a Riegl laser scanner. First and last pulse with density of one point per meter square was derived from 2007 ALS dataset, whereas multiple return (of up to five returns) pulse was derived from July 2009 ALS dataset, which consists of 60 points per meter square over forested terrain. Generally, this catchment is highly affected by shallow landslides which mostly occur beneath dense vegetation. It is located in the dry intra-Alpine zone and represented by the climatic of the South French Alps. In the Cameron Highlands, first and last pulse data was captured in 2004 which covers an area of up to 300 kilometres square. Here, the Optech laser scanner was used under the Malaysian national pilot study which has slightly low point density. With precipitation intensity of up to 3000 mm per year over rugged topography and elevations up to 2800 m a

  9. 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.

  10. 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.

  11. Geohydrology and water chemistry of abandoned uranium mines and radiochemistry of spoil-material leachate, Monument Valley and Cameron areas, Arizona and Utah

    Science.gov (United States)

    Longsworth, S.A.

    1994-01-01

    Uranium mines in the Monument Valley area were established predominately in channel-fill deposits within the Shinarump Member of the Chinle Formation. The Shinarump Member yields ground water to wells and may yield water to the Moonlight and Radium Hill mines. In the study area near Cameron, uranium was mined from channel-fill deposits within the Petrified Forest Member of the Chinle Formation. Units of the Petrified Forest Member do not yield ground water to wells in the area, but fractures in the lower part of the Petrified Forest Member are probable pathways for upward flow of water from the Shinarump Member. Most of the mines receive water from surface inflow of rainfall runoff, but ground water also may be transmitted to open pits and drill holes in the subsurface through fractures or along faults in the Petrified Forest Member. Uranium-238 activities in shallow ground water from mines ranged from 150 to 14,000 picocuries per liter. Radionuclide activities in well and spring water were less than in shallow ground water near mines; however, in some samples, radionuclide activities in wells and springs were greater than activities in pit water. Uranium concentrations in leachate samples ranged from 20 to 7,700 micrograms per liter. Batch tests were done with material that was 2.00 millimeters and smaller. The radiochemistry of leachate from coarser material was not determined, and the specific rate and magnitude of radionuclide leaching depends on site-specific conditions that include the amounts of oxygen and organic material present, temperature, spoil mineralogy, and local ground-water composition.

  12. 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....

  13. County Political Boundaries (National)

    Data.gov (United States)

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

  14. SURVEY, SOLANO COUNTY, USA

    Data.gov (United States)

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

  15. Allegheny County 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.

  16. Allegheny County Sheriff Sales

    Data.gov (United States)

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

  17. 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...

  18. 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,...

  19. Allegheny County Hydrology Lines

    Data.gov (United States)

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

  20. Curry County E-911 Roads

    Data.gov (United States)

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

  1. Allegheny County 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...

  2. Allegheny County Property Sale Transactions

    Data.gov (United States)

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

  3. Allegheny County Poor Housing Conditions

    Data.gov (United States)

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

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 2015 Lowndes County (GA) Lidar

    Data.gov (United States)

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

  10. 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...

  11. 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...

  12. Grant County E-911 Roads

    Data.gov (United States)

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

  13. 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...

  14. Snohomish County Biodiesel Project

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Terrill; Carveth, Deanna

    2010-02-01

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

  15. floodzones_cameron_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  16. Counties Without a Physician.

    Science.gov (United States)

    Getz, Virginia

    1982-01-01

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

  17. Propuesta de estrategia gerencial para la gestión de control de inventario de insumos quirúrgicos en sala de cirugía Cameron del Hospital Clínica Bíblica

    OpenAIRE

    Agüero-Castillo, Cindy

    2015-01-01

    Tesis de maestría -- Universidad de Costa Rica. Posgrado en Administración y Dirección de Empresas. Maestría Profesional en Administración y Dirección de Empresas con énfasis en Gerencia, 2015 El presente Trabajo Final de Graduación se desarrolla a lo largo de cinco capítulos, en los que se busca hacer una propuesta para mejorar los procesos de control y manejo de inventarios de Sala de Cirugía Cameron del Hospital Clínica Bíblica. El capítulo número uno se divide en dos partes; la pri...

  18. Castleward, County Down

    OpenAIRE

    Fisher, Jonathan

    2008-01-01

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

  19. 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.

  20. Alba County - Rural Tourism Destination?

    Directory of Open Access Journals (Sweden)

    Claudia Olimpia Moisa

    2016-12-01

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

  1. 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....

  2. 2006 Fulton County Georgia Lidar

    Data.gov (United States)

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

  3. The Bridges of Taishun County

    Institute of Scientific and Technical Information of China (English)

    MaJianhe

    2003-01-01

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

  4. Bibliography of Ground-Water References for All 254 Counties in Texas, 1886-2001

    Science.gov (United States)

    2005-01-01

    1759): TEXAS BOARD OF WATER ENGINEERS MISCELLANEOUS PUBLI- CATION 173, 1937. A FEW NOTES REGARDING GROUND WATER IN BROWNSVILLE- SAN BENITO -LA FERIA...EL PASO, TEXAS: USGS OPEN-FILE REPORT (UNNUMBERED), 1957. PRELIMINARY GEOHYDROLOGICAL STUDY OF THE JUAREZ VALLEY AND SURROUNDING AREAS, STATE OF... JUAREZ , MEXICO, MEXICO AREA: USGS OPEN-FILE REPORT (UNNUMBERED), 1967. USE OF WELLS TO LOWER THE WATER TABLE ALONG RELOCATED CHANNEL OF RIO GRANDE IN

  5. 2008 USGS South New Jersey County Project Lidar: Cumberland County

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  7. 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...

  8. 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...

  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. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. ORTHOIMAGERY, CLAY COUNTY, WV, USA

    Data.gov (United States)

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

  20. Soils - Volusia County Soils (Polygons)

    Data.gov (United States)

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

  1. 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;...

  2. 2009 SCDNR Charleston County Lidar

    Data.gov (United States)

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

  3. Horry County Beach Management Plan

    Data.gov (United States)

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

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 2004 Harrison County, MS Lidar

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  12. Somerset County Flood Information System

    Science.gov (United States)

    Hoppe, Heidi L.

    2007-01-01

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

  13. Development of Cameron Style 2FZ35-35 Double-ram BOP%Cameron式2FZ35-35型双闸板防喷器研制

    Institute of Scientific and Technical Information of China (English)

    郑泳; 肖力彤; 崔凯; 唐秋林; 刘义; 杨卫星

    2011-01-01

    CNOOC,to meet user requirements,successfully developed the first oil platform in Cameron style 2FZ35-35 double-ram blowout preventer in CNPC. The blowout preventer with API Spec 6A wellhead flange and other devices,both closed and open ram with hydraulic operation assembly, ram closed manually locking ram axis method. According to API Spec 16A recommended standard,the overall strength of the liquid oil control road and tank strength,shear 5" drill pipe test,shear ram seal test,variable bore ram test (closed 31/2 "and 5" drill pipe) and path tests are satisfactory. The use of that site, it has a safe, reliable, rapid and flexible switching, structural lightweight,easy to operate.%为满足中海油用户的要求,开发了Cameron式2FZ35-35型双闸板防喷器.该防喷器采用API Spec 6A法兰与其他井口设备连接,用液压控制关闭和打开闸板总成,闸板关闭后采用手动锁紧闸板轴;整体强度、液控油路和液缸强度及剪切φ127 mm(5英寸)钻杆和剪切闸板密封试验、变径闸板试验(封隔φ88.9mm(31/2英寸)和φ127mm(5英寸)管柱)和通径试验满足API Spec 16A推荐标准.现场使用表明,具有安全可靠、开关迅速灵活、结构轻便、操作方便等特点.

  14. 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.

  15. Allegheny County Voting District Boundaries (2015)

    Data.gov (United States)

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

  16. 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...

  17. 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...

  18. 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...

  19. Allegheny County Polling Place Locations (November 2014)

    Data.gov (United States)

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

  20. 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...

  1. Allegheny County Pennsylvania Senate District Boundaries

    Data.gov (United States)

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

  2. Allegheny County Parks Data Web Map

    Data.gov (United States)

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

  3. 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...

  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. 2012 FEMA Lidar: Southern Virginia Counties

    Data.gov (United States)

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

  6. Allegheny County Polling Place Locations (November 2015)

    Data.gov (United States)

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

  7. 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...

  8. 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,...

  9. 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...

  10. 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...

  11. 2010 ARRA Lidar: Hampton County (SC)

    Data.gov (United States)

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

  12. 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...

  13. Allegheny County Polling Place Locations (November 2016)

    Data.gov (United States)

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

  14. 77 FR 72968 - Revisions to the California State Implementation Plan, for Imperial County, Placer County and...

    Science.gov (United States)

    2012-12-07

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

  15. 76 FR 12280 - Revisions to the California State Implementation Plan, for Imperial County, Kern County, and...

    Science.gov (United States)

    2011-03-07

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

  16. Geothermal development plan: Maricopa county

    Energy Technology Data Exchange (ETDEWEB)

    White, D.H.

    1981-01-01

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

  17. The surficial aquifer in Pinellas County, Florida

    Science.gov (United States)

    Causseaux, K.W.

    1985-01-01

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

  18. 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....

  19. Trouble Brewing in Orange County. Policy Brief

    Science.gov (United States)

    Buck, Stuart

    2010-01-01

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

  20. Clinton County Child Care Needs Assessment

    OpenAIRE

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

    1998-01-01

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

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

    Science.gov (United States)

    Dalton, Phyllis I.

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

  2. Somerset County Employer Needs Assessment.

    Science.gov (United States)

    Rephann, Terance J.

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

  3. Hydrogeology of Webb County, Texas

    Science.gov (United States)

    Lambert, Rebecca B.

    2004-01-01

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

  4. Water resources of Langlade County, Wisconsin

    Science.gov (United States)

    Batten, W. G.

    1987-01-01

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

  5. 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.

  6. Geologic map of the eastern quarter of the Flagstaff 30’ x 60’ quadrangle, Coconino County, northern Arizona

    Science.gov (United States)

    Billingsley, George H.; Block, Debra; Hiza-Redsteer, Margaret

    2014-01-01

    The eastern quarter of the Flagstaff 30′ x 60′ quadrangle includes eight USGS 1:24,000-scale quadrangles in Coconino County, northern Arizona (fig. 1, map sheet): Anderson Canyon, Babbitt Wash, Canyon Diablo, Grand Falls, Grand Falls SE, Grand Falls SW, Grand Falls NE, and Meteor Crater. The map is bounded by lat 35° to 35°30′ N. and long 111° to 111°15′ W. and is on the southern part of the Colorado Plateaus geologic province (herein Colorado Plateau). Elevations range from 4,320 ft (1,317 m) at the Little Colorado River in the northwest corner of the map area to about 6,832 ft (2,082 m) at the southwest corner of the map. This geologic map provides an updated geologic framework for the eastern quarter of the Flagstaff 30′ x 60′ quadrangle and is adjacent to two other recent geologic maps, the Cameron and Winslow 30′ x 60′ quadrangles (Billingsley and others, 2007, 2013). This geologic map is the product of a cooperative effort between the U.S. Geological Survey (USGS) and the Navajo Nation. It provides geologic information for resource management officials of the U.S. Forest Service, the Arizona Game and Fish Department, and the Navajo Nation Reservation (herein the Navajo Nation). Funding for the map was provided by the USGS geologic mapping program, Reston, Virginia. Field work on the Navajo Nation was conducted under a permit from the Navajo Nation Minerals Department. Any persons wishing to conduct geologic investigations on the Navajo Nation must first apply for, and receive, a permit from the Navajo Nation Minerals Department, P.O. Box 1910, Window Rock, Arizona 86515, telephone (928) 871-6587.

  7. Brookside Mills, Knox County, TN

    Science.gov (United States)

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

  8. 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,...

  9. Euroopa ja Venemaa suhted / Fraser Cameron

    Index Scriptorium Estoniae

    Cameron, Fraser

    2008-01-01

    Väide, et planeeritav gaasitoru rajamine Läänemerre viib Venemaa suurenenud militaartegevuseni sealses piirkonnas, ei ole õige ja on murettekitav, et turvalisuspoliitika lipu all võimendatakse Euroopa Liidu ja Venemaa vahelisi pingeid, kirjutab Euroopa Liidu Vene keskuse juhataja

  10. VT River Restoration Data in Lamoille County

    Data.gov (United States)

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

  11. 75 FR 31463 - Comal County Regional Habitat Conservation Plan, Comal County, TX

    Science.gov (United States)

    2010-06-03

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

  12. 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...

  13. 75 FR 26709 - Clarke County Water Supply Project, Clarke County, IA

    Science.gov (United States)

    2010-05-12

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

  14. 33 CFR 100.905 - Door County Triathlon; Door County, WI.

    Science.gov (United States)

    2010-07-01

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

  15. 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....

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

    Science.gov (United States)

    Nord, M

    1998-05-01

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

  17. Educational and Demographic Profile: Madera County

    Science.gov (United States)

    California Postsecondary Education Commission, 2004

    2004-01-01

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

  18. Educational and Demographic Profile: Napa County.

    Science.gov (United States)

    California Postsecondary Education Commission, 2004

    2004-01-01

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

  19. 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)

  20. 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.

  1. 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

  2. 75 FR 79334 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2010-12-20

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

  3. 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.

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  10. 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...

  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. 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...

  13. 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...

  14. Hydrologic Data Sites for Daggett County, Utah

    Data.gov (United States)

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

  15. Hydrologic Data Sites for Cache County, Utah

    Data.gov (United States)

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

  16. Hydrologic Data Sites for Sanpete County, Utah

    Data.gov (United States)

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

  17. 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,...

  18. 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.

  19. 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,...

  20. 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,...

  1. 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,...

  2. 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,...

  3. 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...

  4. 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...

  5. 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...

  6. 2010 FEMA Lidar: Ozaukee County (WI)

    Data.gov (United States)

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

  7. 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,...

  8. 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...

  9. 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...

  10. 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...

  11. Hydrologic Data Sites for Millard County, Utah

    Data.gov (United States)

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

  12. Hydrologic Data Sites for Wayne County, Utah

    Data.gov (United States)

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

  13. 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....

  14. 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).

  15. Bouquets Best the Brickbats at Tarrant County.

    Science.gov (United States)

    Lace, William W.

    1984-01-01

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

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

    Data.gov (United States)

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

  17. 2005 Delaware Coastal Program Lidar: Sussex County

    Data.gov (United States)

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

  18. 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...

  19. Hydrologic Data Sites for Sanjuan County, Utah

    Data.gov (United States)

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

  20. 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...

  1. 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)...

  2. 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...

  3. 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...

  4. 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...

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

    Data.gov (United States)

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

  6. 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,

  7. Survey for bats in Jackson County, Colorado

    Data.gov (United States)

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

  8. 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...

  9. Basemap Framework Submission for Floyd County IA

    Data.gov (United States)

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

  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. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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,...

  16. 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,...

  17. 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,...

  18. 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,...

  19. 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,...

  20. 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,...

  1. 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,...

  2. ORTHOIMAGERY, BOONE COUNTY,WV, USA

    Data.gov (United States)

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

  3. 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,...

  4. 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,...

  5. 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,...

  6. 2009 Bayfield County Lake Superior Lidar Survey

    Data.gov (United States)

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

  7. De Baca County E-911 Roads

    Data.gov (United States)

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

  8. 2004 St. Johns County, Florida Lidar

    Data.gov (United States)

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

  9. 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...

  10. 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)

  11. 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...

  12. 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...

  13. 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.

  14. Hydrogeology of Cibola County, New Mexico

    Science.gov (United States)

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

    1995-01-01

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  17. Development Path of Different County-Level Towns

    Institute of Scientific and Technical Information of China (English)

    Haijiao; ZHANG; Zhenghe; ZHANG

    2015-01-01

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

  18. The Bridge of Mandolin County

    Science.gov (United States)

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

    1999-12-01

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

  19. Geothermal development plan: Maricopa County

    Energy Technology Data Exchange (ETDEWEB)

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

    1982-08-01

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

  20. 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

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

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-07-01

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

  2. 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,...

  3. 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...

  4. 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...

  5. Uncertified Presidential Election Results Allegheny County General Election

    Data.gov (United States)

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

  6. 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),...

  7. 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...

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

    Data.gov (United States)

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

  9. 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...

  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 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...

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

    Science.gov (United States)

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

    1976-01-01

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

  13. 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...

  14. 76 FR 67403 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-11-01

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

  15. 2012 USGS-FEMA Lidar: Virginia Northern Counties (South)

    Data.gov (United States)

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

  16. 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...

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

    Data.gov (United States)

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

  18. 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.

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

    Institute of Scientific and Technical Information of China (English)

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

    2013-01-01

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

  20. Flooded County Picks Up the Pieces

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

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

  1. 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.

  2. An Archeological Overview and Management Plan for the Redstone Arsenal, Madison County, Alabama.

    Science.gov (United States)

    1985-07-29

    TO Atlanta. Georgia V3030 S7221 (SER- PA ) Mr. Cundiff Cameron Station Building 5 Alexandria, Virginia 22314 Dear Mr. Cundiff: Enclosed is one copy each...appended Unclassified xii + 112 resource locational data . ,ancft cm rm. Pa e . Pte Unclassified Oee ANSi-29.18) Se lnwnmftf on Revee OTIONAt FOAM 272...MISTORIC -CONSERVATION -LAW X-SCIENCE I .- 1 5tq -AGRICULTURE -ECONOMICS -LITERATURE -SCULPTURE 1 &~:o- i ~ ARCHITECTURE EDUCAION MILTARY SOCIAL

  3. 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....

  4. 62 FR 28104 - Union Pacific Railroad CompanyAbandonment Exemptionin Malheur County, OR and Owyhee County, ID...

    Science.gov (United States)

    1997-05-22

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  7. 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,...

  8. 7 CFR 714.43 - Recommendation by county committee.

    Science.gov (United States)

    2010-01-01

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

  9. 76 FR 6116 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-02-03

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

  10. 76 FR 19970 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-04-11

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

  11. 76 FR 66033 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-10-25

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

  12. 75 FR 31759 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2010-06-04

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

  13. 75 FR 50987 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2010-08-18

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

  14. 76 FR 12316 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-03-07

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

  15. 76 FR 29722 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-05-23

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

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

    Directory of Open Access Journals (Sweden)

    GALANTE, A. C.

    2008-06-01

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

  17. 2008 USGS South New Jersey County Project Lidar: Portion of Salem County

    Data.gov (United States)

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

  18. 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...

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Science.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  6. 76 FR 30152 - East Calloway County Middle School Mercury Spill Site, Murray, Calloway County, KY; Notice of...

    Science.gov (United States)

    2011-05-24

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

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

    Science.gov (United States)

    2016-03-01

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

  8. Public Schools. Cuyahoga County Data Brief

    Science.gov (United States)

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

    2010-01-01

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

  9. Hamilton County: A Rural School District Profile.

    Science.gov (United States)

    Harned, Catherine

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

  10. 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…

  11. Foreign Languages at Tarrant County Junior College.

    Science.gov (United States)

    Harper, Jane

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

  12. Sheridan County Health Manpower and Education Profile.

    Science.gov (United States)

    Callen, John; And Others

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

  13. Clark County Health Manpower and Education Profile.

    Science.gov (United States)

    Callen, John; And Others

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

  14. Missoula County Health Manpower and Education Profile.

    Science.gov (United States)

    Callen, John; And Others

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

  15. 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.

  16. Is Middlesex County College Accomplishing Its Mission?

    Science.gov (United States)

    Balabkins, Xenia P.

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

  17. Community Living in Three Wisconsin Counties.

    Science.gov (United States)

    Taylor, Steven J.

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

  18. 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...

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

    Data.gov (United States)

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

  20. 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

  1. 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.

  2. Energy Efficient Buildings, Salt Lake County, Utah

    Energy Technology Data Exchange (ETDEWEB)

    Barnett, Kimberly

    2012-04-30

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

  3. 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...

  4. 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...

  5. Bexar County Parking Garage Photovoltaic Panels

    Energy Technology Data Exchange (ETDEWEB)

    Weir, Golda

    2012-01-23

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

  6. 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.

  7. Geohydrology of Muscatine Island, Muscatine County, Iowa

    Science.gov (United States)

    Hansen, R.E.; Steinhilber, W.L.

    1977-01-01

    Muscatine Island is a wide segment of the west bank of the Mississippi River flood plain that covers about 50 square miles in Muscatine and Louisa Counties; the project area encompasses the 30 square miles in Muscatine County. The flood plain is underlain by thick, permeable alluvial deposits that comprise a water-table aquifer that is developed extensively for water supplies in the area. The aquifer consists principally of sand and gravel, interbedded with lenses of silt and clay. Its saturated thickness ranges from about 40 to 140 feet. The transmissivity and storage coefficients of the aquifer range from about 20,000 ft.2/day and 0.15. respectively, in the western part of the Island to about 39,500 ft.2/day and 0.24 in the eastern part. The amount of water stored in the aquifer, under normal conditions, is about 100 billion gallons.

  8. 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.

  9. County digital geologic mapping. Final report

    Energy Technology Data Exchange (ETDEWEB)

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

    1995-12-31

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

  10. 76 FR 39357 - Revisions to the California State Implementation Plan, Imperial County Air Pollution Control...

    Science.gov (United States)

    2011-07-06

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1995-08-01

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

  12. 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.

  13. 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.

  14. 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.

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

    Science.gov (United States)

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

    2010-01-01

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

  16. 77 FR 23501 - Notice of Inventory Completion: Sheboygan County Historical Museum, Sheboygan, WI

    Science.gov (United States)

    2012-04-19

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

  17. 78 FR 28779 - Proposed Flood Elevation Determinations for Armstrong County, Pennsylvania (All Jurisdictions)

    Science.gov (United States)

    2013-05-16

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

  18. 76 FR 9640 - Prevailing Rate Systems: Santa Clara, CA, Tulsa County, OK, and Angelina County, TX

    Science.gov (United States)

    2011-02-22

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

  19. 75 FR 45557 - Prevailing Rate Systems; Definition of Tulsa County, OK, and Angelina County, TX, to...

    Science.gov (United States)

    2010-08-03

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

  20. 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 €.

  1. Water resources of Taos County, New Mexico

    Science.gov (United States)

    Garrabrant, Lynn A.

    1993-01-01

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

  2. 77 FR 36996 - South Mississippi Electric Cooperative: Plant Ratcliff, Kemper County Integrated Gasification...

    Science.gov (United States)

    2012-06-20

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

  3. 75 FR 54220 - Environmental Impact Statement: Skowhegan and Madison, Somerset County, ME

    Science.gov (United States)

    2010-09-03

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

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

    Data.gov (United States)

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

  5. CARPATHIANS ENDEMIC TAXA IN ARGEŞ COUNTY

    Directory of Open Access Journals (Sweden)

    Valeriu Alexiu

    2013-12-01

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

  6. Y microdeletions in the Istria county, Croatia

    Institute of Scientific and Technical Information of China (English)

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

    2005-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

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

  8. Measuring county resilience after the 2008 Wenchuan earthquake

    Directory of Open Access Journals (Sweden)

    X. Li

    2015-01-01

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

  9. Measuring county resilience after the 2008 Wenchuan earthquake

    Science.gov (United States)

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

    2015-01-01

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

  10. Measuring Research on County Agricultural Technological Innovation Ability Index

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

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

  11. 75 FR 67806 - Environmental Impact Statement; Nueces County, TX

    Science.gov (United States)

    2010-11-03

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

  12. 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...), 2241 N. Eastern Ave., Los Angeles, CA 90032. Pasadena--Lake Avenue Church, (4th floor above Harris...

  13. 27 CFR 9.44 - Solano County Green Valley.

    Science.gov (United States)

    2010-04-01

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

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

    Science.gov (United States)

    Friedlander, Jack; Gocke, Sharon

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

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

    Science.gov (United States)

    Benton, J. Edwin

    2007-01-01

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

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

    Science.gov (United States)

    Campbell, Ralph

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

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

    DEFF Research Database (Denmark)

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

    1995-01-01

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

  18. 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

  19. 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)

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  7. 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 ...

  8. 75 FR 68510 - Fresh Prunes Grown in Designated Counties in Washington and in Umatilla County, OR; Termination...

    Science.gov (United States)

    2010-11-08

    ... inspection. The order also authorizes production research and marketing research and development projects, as... Agricultural Marketing Service 7 CFR Part 924 Fresh Prunes Grown in Designated Counties in Washington and in Umatilla County, OR; Termination of Marketing Order 924 AGENCY: Agricultural Marketing Service,...

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

    Science.gov (United States)

    Economic Research Service (USDA), Washington, DC.

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

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

    Science.gov (United States)

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

    2004-01-01

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

  11. 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 BACKGROUND: 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. METHODS AND FINDINGS: 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

  12. Instantaneous network RTK in Orange County, California

    Science.gov (United States)

    Bock, Y.

    2003-04-01

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

  13. 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.

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

    Science.gov (United States)

    Fretwell, J.D.

    1985-01-01

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

  15. 7 CFR 7.18 - Terms of office of county and community members.

    Science.gov (United States)

    2010-01-01

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

  16. 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…

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1992-04-01

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

  18. 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.

  19. The Road Inventory of Cameron Prairie National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — To determine the relative needs of the U.S. Fish and Wildlife Service, the Federal Highway Administration (FHWA) was asked to inventory all public access and...

  20. Fisheries Management Plan Cameron Prairie National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This is the fisheries management plan for the refuge. This plan develops strategies and tasks for maintaining a viable fishery for Unit 8. There are other areas...

  1. Two new species of Myrmedonota Cameron (Staphylinidae, Aleocharinae from Mexico

    Directory of Open Access Journals (Sweden)

    Quiyari J. Santiago-Jiménez

    2014-12-01

    Full Text Available Two new species of Myrmedonota are described from Mexico. Illustrations and a distribution map are provided, as are keys to identify Myrmedonota known from the Nearctic and Neotropics. Specimens were collected by means of mercury vapor light traps or flight interception traps.

  2. 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 GIS Inventory (aka Ramona) — COUNTY_STREET_CENTERLINES_IDHS_IN is a line shapefile that contains street centerlines maintained by county agencies in Indiana, provided by personnel of Indiana...

  3. Government Districts, Other - COUNTY_GOVERNMENT_BOUNDARIES_IDHS_IN: Governmental Boundaries Maintained by County Agencies in Indiana (Indiana Department of Homeland Security, Polygon Shapefile)

    Data.gov (United States)

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

  4. 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 GIS Inventory (aka Ramona) — 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...

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

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — COUNTY_ADDRESS_POINTS_IDHS_IN is a point shapefile that contains address points maintained by county agencies in Indiana, provided by personnel of Indiana Department...

  6. 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.

  7. 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...

  8. Parcels and Land Ownership, Published in 2011, Evans County Government.

    Data.gov (United States)

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

  9. 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...

  10. 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...

  11. 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...

  12. Parcels and Land Ownership, Published in 2011, Gilpin County Government.

    Data.gov (United States)

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

  13. 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,...

  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 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,...

  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. 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,...

  19. VT Built Up Lands in Grand Isle County - 1980

    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,...

  20. 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,...

  1. 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,...

  2. 1:100,000-scale Counties of the United States

    Data.gov (United States)

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

  3. TERRAIN, Town of Pocatello Levee PMR, Bannock COUNTY, IDAHO

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Town of Pocatello, Bannock County, ID created 2ft contours by photogrametric methods to serve as terrain. The areas for contour creation have been designed as...

  4. Parcels and Land Ownership, Published in 2008, Mecosta County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2008. The extent of these data is generally Mecosta County, MI. This metadata was auto-generated through the Ramona...

  5. Parcels and Land Ownership, Published in 2008, Wayne County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2008. The extent of these data is generally Wayne County, MI. This metadata was auto-generated through the Ramona GIS...

  6. Parcels and Land Ownership, Published in 2008, Saginaw County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2008. The extent of these data is generally Saginaw County, MI. This metadata was auto-generated through the Ramona...

  7. Parcels and Land Ownership, Published in 2011, Murray County Government.

    Data.gov (United States)

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

  8. Parcels and Land Ownership, Published in 2011, Murray County Government.

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  10. Geothermal development plan: Cochise-Santa Cruz counties

    Energy Technology Data Exchange (ETDEWEB)

    White, D.H.

    1981-01-01

    A total of five hot springs and 25 thermal wells are located within the combined counties. The water discharged from these hot springs and wells may be suitable for applications such as process heat and space heating and cooling. Within Cochise county there are two large firms which are capable of using 70/sup 0/C (158/sup 0/F) geothermal water for their process heat requirements but the potential use of geothermal energy in Santa Cruz county is limited due to the absence of industry within the county. The amount of geothermal energy on line as a function of time under both private and city-owned utility development is also predicted using a computer simulation model.

  11. Parcels and Land Ownership, Published in 2011, Rutherford County Government.

    Data.gov (United States)

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

  12. 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)

  13. 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.

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

    Data.gov (United States)

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

  15. Parcels and Land Ownership, Published in 2011, Rice County Government.

    Data.gov (United States)

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

  16. Parcels and Land Ownership, Published in 2008, Rice County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2008. The extent of these data is generally Rice County, MN. This metadata was auto-generated through the Ramona GIS...

  17. Parcels and Land Ownership, Published in 2011, Slop County Government.

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  2. Parcels and Land Ownership, Published in 2011, Buffalo County Government.

    Data.gov (United States)

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

  3. 77 FR 46790 - Environmental Impact Statement: Dane County, WI

    Science.gov (United States)

    2012-08-06

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF TRANSPORTATION Federal Highway Administration Environmental Impact Statement: Dane County, WI AGENCY: Federal Highway Administration (FHWA), DOT. ACTION: Notice of Intent to Prepare an Environmental Impact Statement. SUMMARY:...

  4. Cities, Towns and Villages, Published in unknown, Monroe County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Cities, Towns and Villages dataset as of unknown. Data by this publisher are often provided in NAD_1983_HARN_WISCRS_Monroe_County_Feet coordinate system; in a...

  5. Parcels and Land Ownership, Published in 2011, Steele County Government.

    Data.gov (United States)

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

  6. Parcels and Land Ownership, Published in 2008, Steele County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2008. The extent of these data is generally Steele County, MN. This metadata was auto-generated through the Ramona GIS...

  7. 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...

  8. Parcels and Land Ownership, Published in 2008, Sheridan County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2008. The extent of these data is generally Sheridan County, WY. This metadata was auto-generated through the Ramona...

  9. Parcels and Land Ownership, Published in 2011, Sheridan County Government.

    Data.gov (United States)

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

  10. Parcels and Land Ownership, Published in 2011, Sherburne County Government.

    Data.gov (United States)

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

  11. Parcels and Land Ownership, Published in 2011, Itawamba County Government.

    Data.gov (United States)

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

  12. 2007 Delaware Coastal Program 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...

  13. 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.

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

    Data.gov (United States)

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

  15. Parcels and Land Ownership, Published in unknown, Pasco County Government.

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  17. Parcels and Land Ownership, Published in unknown, Manatee County Government.

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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