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Sample records for range madison county

  1. Groundwater management and protection Madison County, Alabama

    Energy Technology Data Exchange (ETDEWEB)

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

    1990-07-01

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

  2. 77 FR 25782 - Environmental Impact Statement: Madison County, IL

    Science.gov (United States)

    2012-05-01

    ... Federal Highway Administration Environmental Impact Statement: Madison County, IL AGENCY: Federal Highway... advise the public that an Environmental Impact Statement will be prepared for a proposed transportation... Transportation (IDOT) will prepare an Environmental Impact Statement (EIS) for a project that involves improved...

  3. Aerial Photography and Imagery, Ortho-Corrected - 2010 NAIP Imagery - Madison County

    Data.gov (United States)

    NSGIC Education | GIS Inventory — This data set contains polygons delineating the seams boundary between acquired imagery used in the creation of DOQQs and compressed county mosaic (CCM). The DOQQ...

  4. Environmental Inventory Report. East St. Louis and Vicinity, Cahokia Canal Drainage Area, Madison and St. Clair Counties, Illinois. Volume 3.

    Science.gov (United States)

    1981-05-01

    1890’s. In terms of total poundage they are probably the most important fish in the area. Although not highly regarded as a sport fish they are an...normal black bullheads. This is the only report of albinism in this species. Channel catfish is a wide ranging species often cultivated as food fish...They are a desirable sport fish for many anglers though they lack the promotional glamour associated with largemouth bass. They were present, as

  5. FLOODPLAIN, MADISON COUNTY, ALABAMA 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...

  6. BASEMAP, MADISON COUNTY, ALABAMA USA

    Data.gov (United States)

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

  7. HYDROLOGY, MADISON COUNTY, ALABAMA USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Hydrology data include spatial datasets and data tables necessary for documenting the hydrologic procedures for estimating flood discharges for a flood insurance...

  8. HYDROLOGY, Madison County, Missouri, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Hydrology data include spatial datasets and data tables necessary for documenting the hydrologic procedures for estimating flood discharges for a flood insurance...

  9. HYDROLOGY, MADISON COUNTY, FL, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Hydrology data include spatial datasets and data tables necessary for documenting the hydrologic procedures for estimating flood discharges for a flood insurance...

  10. TERRAIN, MADISON COUNTY, ALABAMA USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Terrain data, as defined in FEMA Guidelines and Specifications, Appendix N: Data Capture Standards, describes the digital topographic data that was used to create...

  11. HYDRAULICS, MADISON COUNTY, ALABAMA, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Recent developments in digital terrain and geospatial database management technology make it possible to protect this investment for existing and future projects to...

  12. HYDRAULICS, Madison COUNTY, KENTUCKY, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Recent developments in digital terrain and geospatial database management technology make it possible to protect this investment for existing and future projects to...

  13. 2012 MDEQ-FEMA Madison-Yazoo Lidar Survey

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project entails the acquisition and processing of LiDAR for approximately 1,265 square miles covering areas of Madison and Eastern Yazoo Counties. Collect and...

  14. [Madison School Forests Ecology Series.

    Science.gov (United States)

    Madison Public Schools, WI.

    Each of these three booklets is to be used in conjunction with a field trip in the Madison, Wisconsin area, and to serve as a guide for presenting the filmstrips for each excursion. "Madison School Forests" emphasizes plant succession in a natural oak community. "Three Layers of Green in the Madison School Forest" emphasizes…

  15. The Madison colloquium

    CERN Document Server

    Dickson, Leonard Eugene

    1914-01-01

    Following the tradition of the American Mathematical Society, the seventh colloquium of the Society was held as part of the summer meeting that took place at the University of Wisconsin, in Madison. Two sets of lectures were presented: On Invariants and the Theory of Numbers, by L. E. Dickson, and Functions of Several Complex Variables, by W. F. Osgood. Dickson considers invariants of quadratic forms, with a special emphasis on invariants of forms defined in characteristic p, also called modular invariants, which have number-theoretic consequences. He is able to find a fundamental set of invar

  16. Milton-Madison Bridge Project

    OpenAIRE

    Hetrick, Kevin; Bunselmeier, Jason

    2013-01-01

    INDOT will provide a brief introduction to the Madison Milton Ohio River Bridge Project, discuss the project development process, the design/build procurement and the construction during this presentation.

  17. Floodplain Mapping for Madison County, TN

    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...

  18. DCS Survey Submission for Madison County, MO

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Survey data includes spatial datasets and data tables necessary to digitally represent data collected in the survey phase of the study. (Source: FEMA Guidelines and...

  19. Geospatial Database of Hydroclimate Variables, Spring Mountains and Sheep Range, Clark County, Nevada

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This point feature class contains 81,481 points arranged in a 270-meter spaced grid that covers the Spring Mountains and Sheep Range in Clark County, Nevada. Points...

  20. Environmental Impact Analysis Process, Winnersville Weapons Range, Lanier and Lowndes Counties, Georgia

    Science.gov (United States)

    1985-11-01

    area and will adversely affect the value of all property in this area. The bombing range will also pose a greater danger to people and property. Just...tewer peopl., but only Echols County was considered. Particularly absurd is rhE lait (’i recited on Pg. IH that a range in Echols would n’,iulre

  1. 78 FR 61871 - Grenada Railway, LLC-Rail Line in Grenada, Montgomery, Carroll, Holmes, Yazoo and Madison...

    Science.gov (United States)

    2013-10-04

    ...-No. 1)] Grenada Railway, LLC--Rail Line in Grenada, Montgomery, Carroll, Holmes, Yazoo and Madison..., November 15, 2013, beginning at 9:00 a.m., at the Montgomery County Courthouse, 614 Summit St., Winona... embargo expired as of July 26, 2013. \\2\\ See Grenada Ry.--Rail Line in Grenada, Montgomery, Carroll...

  2. Microgravity methods for characterization of groundwater-storage changes and aquifer properties in the karstic Madison aquifer in the Black Hills of South Dakota, 2009-12

    Science.gov (United States)

    Koth, Karl R.; Long, Andrew J.

    2012-01-01

    A study of groundwater storage in the karstic Madison aquifer in the Black Hills of South Dakota using microgravity methods was conducted by the U.S. Geological Survey in cooperation with West Dakota Water Development District, South Dakota Department of Environment and Natural Resources, and Lawrence County. Microgravity measurements from 2009 to 2012 were used to investigate groundwater-storage changes and effective porosity in unconfined areas of the Madison aquifer. Time-lapse microgravity surveys that use portable high-sensitivity absolute and relative gravimeters indicated temporal-gravity changes as a result of changing groundwater mass. These extremely precise measurements of gravity required characterization and removal of internal instrumental and external environmental effects on gravity from the raw data. The corrected data allowed groundwater-storage volume to be quantified with an accuracy of about plus or minus 0.5 foot of water per unit area of aquifer. Quantification of groundwater-storage change, coupled with water-level data from observation wells located near the focus areas, also was used to calculate the effective porosity at specific altitudes directly beneath gravity stations. Gravity stations were established on bedrock outcrops in three separate focus areas for this study. The first area, the Spring Canyon focus area, is located to the south of Rapid City with one gravity station on the rim of Spring Canyon near the area where Spring Creek sinks into the Madison aquifer. The second area, the Doty focus area, is located on outcrops of the Madison Limestone and Minnelusa Formation to the northwest of Rapid City, and consists of nine gravity stations. The third area, the Limestone Plateau focus area, consists of a single gravity station in the northwestern Black Hills located on an outcrop of the Madison Limestone. An absolute-gravity station, used to tie relative-gravity survey data together, was established on a relatively impermeable

  3. Madison Milton Design Build Bridge Construction

    OpenAIRE

    Johnson, Murray

    2013-01-01

    The design build team will provide an overview of the Madison Milton Ohio River Bridge Project construction. There will be a brief discussion of the design-build process. Specific discussions of the retrofits to the existing caissons and piers that allowed for the existing substructure to be reused as well as discussions of the truss design, erection, span lifts, and sliding will be provided.

  4. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, MADISON COUNTY, AL

    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...

  5. An Evaluation of a Wide Range of Job-Generating Activities for Rural Counties.

    Science.gov (United States)

    Finsterbusch, Kurt; And Others

    1992-01-01

    Examines the job-generating activities in 15 rural counties in Maryland through 175 interviews and field work. Those ranking high included industrial park development, economic development activities, and tourism. Special financial arrangements for relocating and new businesses also received high marks. Includes 48 references. (JOW)

  6. Reconnaissance geologic map of the northern Kawich and southern Reveille ranges, Nye County, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    Gardner, J.N.; Eddy, A.C.; Goff, F.E.; Grafft, K.S.

    1980-06-01

    A geological survey was performed in Nye County, Nevada. Results of that survey are summarized in the maps included. The general geology of the area is discussed. Major structures are described. The economics resulting from the mineral exploitation in the area are discussed. The hydrogeology and water chemistry of the area are also discussed.

  7. Madison Wetland Management District: Annual narrative report, calendar year 1981

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Madison Wetland Management District outlines District accomplishments during the 1981 calendar year. The report begins by describing...

  8. Madison Wetland Management District: Annual narrative report: Calendar year 1991

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Madison WMD outlines accomplishments during the 1991 calendar year. The report begins with a summary of the year's highlights and...

  9. Habitat inventory for prioritized management on Madison WMD

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Final report on a project at Madison Wetland Management District to implement a standardized decision making tool developed to prioritize Waterfowl Production Area's...

  10. Madison Wetland Management District: Annual narrative report: Calendar year 1989

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Madison WMD outlines accomplishments during the 1989 calendar year. The report begins with a summary of the year's highlights and...

  11. Hydroclimate of the Spring Mountains and Sheep Range, Clark County, Nevada

    Science.gov (United States)

    Moreo, Michael T.; Senay, Gabriel B.; Flint, Alan L.; Damar, Nancy A.; Laczniak, Randell J.; Hurja, James

    2014-01-01

    Precipitation, potential evapotranspiration, and actual evapotranspiration often are used to characterize the hydroclimate of a region. Quantification of these parameters in mountainous terrains is difficult because limited access often hampers the collection of representative ground data. To fulfill a need to characterize ecological zones in the Spring Mountains and Sheep Range of southern Nevada, spatially and temporally explicit estimates of these hydroclimatic parameters are determined from remote-sensing and model-based methodologies. Parameter-elevation Regressions on Independent Slopes Model (PRISM) precipitation estimates for this area ranges from about 100 millimeters (mm) in the low elevations of the study area (700 meters [m]) to more than 700 mm in the high elevations of the Spring Mountains (> 2,800 m). The PRISM model underestimates precipitation by 7–15 percent based on a comparison with four high‑elevation precipitation gages having more than 20 years of record. Precipitation at 3,000-m elevation is 50 percent greater in the Spring Mountains than in the Sheep Range. The lesser amount of precipitation in the Sheep Range is attributed to partial moisture depletion by the Spring Mountains of eastward-moving, cool-season (October–April) storms. Cool-season storms account for 66–76 percent of annual precipitation. Potential evapotranspiration estimates by the Basin Characterization Model range from about 700 mm in the high elevations of the Spring Mountains to 1,600 mm in the low elevations of the study area. The model realistically simulates lower potential evapotranspiration on northeast-to-northwest facing slopes compared to adjacent southeast-to-southwest facing slopes. Actual evapotranspiration, estimated using a Moderate Resolution Imaging Spectroradiometer based water-balance model, ranges from about 100 to 600 mm. The magnitude and spatial variation of simulated, actual evapotranspiration was validated by comparison to PRISM precipitation

  12. Reference section for the Minturn Formation (Middle Pennsylvanian), northern Sangre de Cristo Range, Custer County, Colorado

    Science.gov (United States)

    Lindsey, D.A.; Clark, R.F.; Soulliere, S.J.

    1985-01-01

    This reference section of the Middle Pennsylvanian Minturn Formation was measured in the northern Sangre de Cristo Range; the section provides a basis for comparison with the type Minturn and with possibly equivalent strata elsewhere in southern Colorado. The name "Minturn" was first applied to strata of Middle Pennsylvanian age near the town of Minturn in central Colorado (Tweto, 1949, p. 194-228; Tweto and Lovering, 1977, p. 33–53), about 180 km north of the section described, and has been extended to strata of approximately the same age that contain marine limestones in the northern Sangre de Cristo Range (Brill, 1952; Bolyard, 1959; Scott and Taylor, 1974). The Minturn reference section continues upward into the principal reference section of the overlying Pennsylvanian and Permian Sangre de Cristo Formation (Lindsey and Schaefer, 1984), and these two sections together provide a continuous record of upper Paleozoic strata in the northern Sangre de Cristo Range.

  13. Ion Acceleration in the Madison Helicon Experiment

    Science.gov (United States)

    Wiebold, Matt; Sung, Yung-Ta; Scharer, John

    2011-10-01

    The Madison Helicon Experiment consists of a 150 cm long, 10 cm inner diameter Pyrex tube connected to a stainless steel expansion chamber 60 cm long and 45 cm in diameter with an axial magnetic field, variable up to 1 kG at the source region with a nozzle profile. Supersonic ion acceleration up to Ei = 160 eV at 500 W, 13.56 MHz RF power have been observed in the expanding region of the source. The effect of flow rate/pressure, RF power and magnetic field strength on the ion beam acceleration and the spatial variation of the plasma potential, electron density and temperature are explored. The ion energy distribution function is obtained by a two-grid RPA, while probe diagnostics determine Vp, ne, and Te. The effect of the operating mode of the helicon source (E, H or W) is explored. RF plasma potential fluctuations are observed which electrons can respond to but ions cannot, leading to time-averaged acceleration of the ions and time-dependent ``neutralization'' of the beam. Ion acceleration occurs over ~ 400 λD, and the accelerated population persists for several ion charge exchange mean free paths. Both double layer and Boltzmann expansion are considered as mechanisms responsible for the acceleration. Research supported by AFOSR Grant FA9550-10-1-0396 and in part by AFOSR Grant FA9550-09-1-0357.

  14. Progress of cryogenic pulsating heat pipes at UW-Madison

    Science.gov (United States)

    Diego Fonseca, Luis; Mok, Mason; Pfotenhauer, John; Miller, Franklin

    2017-12-01

    Space agencies continuously require innovative cooling systems that are lightweight, low powered, physically flexible, easily manufactured and, most importantly, exhibit high heat transfer rates. Therefore, Pulsating Heat Pipes (PHPs) are being investigated to provide these requirements. This paper summarizes the current development of cryogenic Pulsating Heat Pipes with single and multiple evaporator sections built and successfully tested at UW-Madison. Recently, a helium based Pulsating Heat Pipe with three evaporator and three condenser sections has been operated at fill ratios between 20 % and 80 % operating temperature range of 2.9 K to 5.19 K, resulting in a maximum effective thermal conductivity up to 50,000 W/m-K. In addition, a nitrogen Pulsating Heat Pipe has been built with three evaporator sections and one condenser section. This PHP achieved a thermal performance between 32,000 W/m-K and 96,000 W/m-K at fill ratio ranging from 50 % to 80 %. Split evaporator sections are very important in order to spread cooling throughout an object of interest with an irregular temperature distribution or where multiple cooling locations are required. Hence this type of configurations is a proof of concept which hasn’t been attempted before and if matured could be applied to cryo-propellant tanks, superconducting magnets and photon detectors.

  15. 77 FR 16318 - Environmental Assessment: Jessamine County and Madison County, KY

    Science.gov (United States)

    2012-03-20

    ... considering environmental, social, engineering, costs and other factors in the project vicinity. This study.... Environmental Issues: Possible environmental impacts include effects to historical properties or farmland... coordinated through a media news release. An invitation letter will be sent to potential Cooperating Agencies...

  16. El nuevo Madison Square Garden – (EE.UU.

    Directory of Open Access Journals (Sweden)

    Luckman, Ch.

    1971-05-01

    Full Text Available The Madison Square Garden Sports and Amusements Center comprises the following. 1. A circular building, 129.54 m in diameter and 45.72 m high, which houses the New Madison Square Garden and many other facilities. The arena sits 20.250 spectators, who can watch hockey, basketball, cycling, boxing, circus shows, ice skating, special displays, variety shows, meetings and other kinds of performance. 2. An office block on Seventh Avenue, with a useful floor area for office use amounting to 111,500 m2 and a further 4,800 m2 of floor area on the first two floors for commercial and banking activities.Forman parte del Centro Deportivo y de Atracciones Madison Square Garden: 1 Un edificio circular, de 129,54 m de diámetro y 45,72 m de altura, que aloja el Nuevo Madison Square Garden y otras muchas instalaciones. Tiene capacidad para 20.250 asientos, y en él se pueden celebrar espectáculos de: hockey, baloncesto, ciclismo, boxeo, circo, patinaje sobre hielo, acontecimientos especiales, variedades, asambleas y otros deportes de masas, etc. 2 Un edificio de oficinas que se alza contiguo a la Séptima Avenida, con una superficie útil de 111.500 m2 destinada a oficinas, y otra de 4.800 m2, en las plantas primera y segunda, dedicada a actividades comerciales y bancarias.

  17. Evaluation of thrusting and folding of the Deadman Creek Thrust Fault, Sangre de Cristo range, Saguache County, Colorado

    Science.gov (United States)

    Weigel, Jacob F., II

    The Deadman Creek Thrust Fault was mapped in a structural window on the west side of the Sangre de Cristo Range. The study area, located in southern Colorado, is a two square mile area halfway between the town of Crestone and the Great Sand Dunes National Park. The Deadman Creek Thrust Fault is the center of this study because it delineates the fold structure in the structural window. The fault is a northeast-directed low-angle thrust folded by subsequent additional compression. This study was directed at understanding the motion of the Deadman Creek Thrust Fault as affected by subsequent folding, and the driving mechanism behind the folding of the Pole Creek Anticline as part of a broader study of Laramide thrust faulting in the range. This study aids in the interpretation of the geologic structure of the San Luis Valley, which is being studied by staff of the United States Geological Survey (USGS), to understand Rio Grande Rift basin evolution by focusing on rift and pre-rift tectonic activity. It also provides a geologic interpretation for the Saguache County Forest Service, Great Sand Dunes National Park, and its visitors. The Sangre de Cristo Mountain Range has undergone tectonic events in the Proterozoic, Pennsylvanian (Ancestral Rocky Mountains), Cretaceous-Tertiary (Laramide Orogeny) and mid-Tertiary (Rio Grande Rift). During the Laramide Orogeny the Deadman Creek Thrust Fault emplaced Proterozoic gneiss over Paleozoic sedimentary rocks and Proterozoic granodiorite in the area. Continued deformation resulted in folding of the fault to form the Pole Creek Anticline. The direction of motion of both the fault and fold is northeastward. A self-consistent net of cross-sections and stereonet plots generated from existing and new field data show that the anticline is an overturned isoclinal fold in Pole Creek Canyon, which shows an increasing inter-limb angle and a more vertical axial surface northwestward toward Deadman Creek Canyon. Southwest-directed apparent

  18. Los puentes de Madison: una mirada de género

    Directory of Open Access Journals (Sweden)

    Sonia Herrera Sánchez

    2013-04-01

    Full Text Available Más allá del uso estereotipado y los lugares comunes del amor romántico y el drama, en la película Los puentes de Madison de Clint Eastwood se dibujan y se cuestionan las estrategias familiares y los roles de género de las mujeres rurales estadounidenses en los años 60 a través de su curso vital y de las relaciones sociales establecidas.Abordando cuestiones esenciales para el movimiento feminista como la maternidad, la sexualidad de la mujer, la identidad o la doble jornada en el sector agrícola y haciendo un gran uso del lenguaje audiovisual, la adaptación cinematográfica de la novela de Robert James Waller pone el acento (ya sea de forma intencionada o casual en los tabúes de las mujeres de la época y en los mandatos de género que éstas debían asumir.Beyond the stereotyped used of romantic love and drama on Clint Eastwood’s film The Bridges of Madison County are also shown and questioned family strategies and gender roles of rural women in the 1960s at United States through their lifes and established social relations.Dealing with feminist movement key issues as motherhood, female sexuality, identity, or the double work time on the agricultural sector and making extensive use of audiovisual language, the filmed adaptation of the novel written by Robert James Waller focuses on (either deliberately or accidentaly the taboos of the time women and gender mandates they sould assume.

  19. Archaeological Resources Overview of Shaw Air Force Base and Pointsett Electronic Combat Range, Sumter County, South Carolina

    Science.gov (United States)

    2006-04-01

    backcountry. This led to the rise of the "Regulators," who pushed for reform and greater autonomy for the new inland settlements (Gregorie 1954:27-29...named districts, but reforms were more complicated in the Shaw AFB/Poinsett ECR area. There, three previous counties - Claremont, Clarendon, and Salem...13C Content of Human Collagen as a Measure of Prehistoric Diet in Woodland North America. Nature 276:815-816. Ward, H. Trawick 1978 The Archaeology of

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

    Science.gov (United States)

    Cline, Denzel R.

    1965-01-01

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

  1. The Sixties and the Cold War University: Madison, Wisconsin and the Development of the New Left

    Science.gov (United States)

    Levin, Matthew

    2009-01-01

    The history of the sixties at the University of Wisconsin-Madison is both typical of other large universities in the United States and, at the same time, distinctive within the national and even international upheaval that marked the era. Madison's history shows how higher education transformed in the decades after World War II, influenced…

  2. 76 FR 52344 - Application for an Incidental Take Permit for the Madison Cave Isopod From Dominion Virginia...

    Science.gov (United States)

    2011-08-22

    ... Fish and Wildlife Service Application for an Incidental Take Permit for the Madison Cave Isopod From... the permit application from Dominion Virginia Power for incidental take of the Madison Cave isopod... application from Dominion Virginia Power for incidental take of the federally listed Madison Cave isopod over...

  3. Metals in Devonian kerogenous marine strata at Gibellini and Bisoni properties in southern Fish Creek Range, Eureka County, Nevada

    Science.gov (United States)

    Desborough, George A.; Poole, F.G.; Hose, R.K.; Radtke, A.S.

    1979-01-01

    A kerogen-rich sequence of siliceous mudstone, siltstone, and chert as much as 60 m thick on ridge 7129 in the southern Fish Creek Range, referred to as Gibellini facies of the Woodruff Formation, has been evaluated on the surface and in drill holes principally for its potential resources of vanadium, zinc, selenium, molybdenum, and syncrude oil content. The strata are part of a strongly deformed allochthonous mass of eugeosynclinal Devonian marine rocks that overlie deformed allochthonous Mississippian siliceous rocks and relatively undeformed autochthonous Mississippian Antler flysch at this locality. The vanadium in fresh black rocks obtained from drill holes and fresh exposures in trenches and roadcuts occurs chiefly in organic matter. Concentrations of vanadium oxide (V2O5) in unoxidized samples range from 3,000 to 7,000 ppm. In oxidized and bleached rock that is prevalent at the surface, concentrations of vanadium oxide range from 6,000 to 8,000 ppm, suggesting a tendency toward enrichment due to surficial weathering and ground-water movement. Zinc occurs in sphalerite, and selenium occurs in organic matter; molybdenum appears to occur both in molybdenite and in organic matter. Concentrations of zinc in unoxidized rock range from 4,000 to 18,000 ppm, whereas in oxidized rock they range from 30 to 100 ppm, showing strong depletion due to weathering. Concentrations of selenium in unoxidized rock range from 30 to 200 ppm, whereas in oxidized rock they range from 200 to 400 ppm, indicating some enrichment upon weathering. Concentrations of molybdenum in unoxidized rock range from 70 to 960 ppm, whereas in oxidized rock they range from 30 to 80 ppm, indicating strong depletion upon weathering. Most fresh black rock is low-grade oil shale, and yields as much as 12 gallons/short ton of syncrude oil. Metahewettite is the principal vanadium mineral in the oxidized zone, but it also occurs sparsely as small nodules and fillings of microfractures in unweathered strata

  4. Measured sections and discussion of the main turbidite member, Middle Pennsylvanian Minturn Formation, northern Sangre de Cristo Range, Custer and Saguache counties, Colorado

    Science.gov (United States)

    Soulliere, S.J.; DeAngelis, B.L.; Lindsey, D.A.

    1984-01-01

    Turbidites are sediments deposited by turbid density currents. The turbidites described here are interpreted as prodelta deposits that formed in front of fan deltas and alluvial fans during the uplift of the ancestral Rocky Mountains in Pennsylvanian time. Laterally extensive, lenticular sand bodies deposited by turbidity flows crop out in the Middle Pennsylvanian Minturn Formation in the northern Sangre de Crísto Range, Custer and Saguache Counties, Colo. (figs. 1, 2). One of the turbidite-bearing intervals, informally designated the "main turbidite member," lies 90.6 m above the base of the Minturn; it reaches 150 m in thickness and extends more than 13 km along strike. The internal stratigraphy and sedimentary structures of the main turbidite member are described from the measured sections presented here.

  5. Geology and geothermal resources of the Santiam Pass area of the Oregon Cascade Range, Deschutes, Jefferson and Linn Counties, Oregon

    Energy Technology Data Exchange (ETDEWEB)

    Hill, B.E. (ed.)

    1992-10-01

    This open-file report presents the results of the Santiam Pass drilling program. The first phase of this program was to compile all available geological, geophysical and geothermal data for the Santiam Pass area and select a drill site on the basis of these data (see Priest and others, 1987a), A summary of the drilling operations and costs associated with the project are presented in chapter 1 by Hill and Benoit. An Overview of the geology of the Santiam Pass area is presented by Hill and Priest in chapter 2. Geologic mapping and isotopic age determinations in the Santiam Pass-Mount Jefferson area completed since 1987 are summarized in chapter 2. One of the more important conclusions reached in chapter 2 is that a minimum of 2 km vertical displacement has occurred in the High Cascade graben in the Santiam Pass area. The petrology of the Santiam Pass drill core is presented by Hill in chapter 3. Most of the major volcanic units in the core have been analyzed for major, minor, and trace element abundances and have been studied petrographically. Three K-Ar ages are interpreted in conjunction with the magnetostratigraphy of the core to show that the oldest rocks in the core are approximately 1.8 Ma. Geothermal and geophysical data collected from the Santiam Pass well are presented by Blackwell in chapter 4. The Santiam Pass well failed to penetrate beneath the zone of lateral groundwater flow associated with highly permeable Quaternary volcanic rocks. Calculated geothermal gradients range from about 50[degree]C/km at depth 700-900 m, to roughly 110[degree]C/km from 900 m to the bottom of the well at 929 m. Heat-flow values for the bottom part of the hole bracket the regional average for the High Cascades. Blackwell concludes that heat flow along the High Cascades axis is equal to or higher than along the western edge of the High Cascades.

  6. 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...

  7. Geochemistry of altered and mineralized rocks from the Morey and Fandango Wilderness Study Areas, northern Hot Creek Range, Nye County, Nevada

    Science.gov (United States)

    Nash, J.T.; John, D.A.; Malcolm, M.J.; Briggs, P.H.; Crock, J.G.

    1986-01-01

    The U.S. Geological Survey and the St. Johns River Water Management District are investigating the hydrogeology of the Floridan aquifer system. An essential element of this investigation is the design and construction of a monitor well network in the lower saline water-bearing zone which occurs at about 2,000 ft below land surface. During 1985, a well near Ponte Vedra in northeast St. Johns County was completed into the lower saline water-bearing zone at a depth of 1,980 to 2,035 ft below land surface. This well and other wells drilled under this or other programs will be used to monitor water levels and water chemistry of the lower saline zone. Chloride concentrations in water above the lower saline zone ranged from 14 to 270 mg/L and specific conductance ranged from 450 to 1,440 micromhos/cm c. In the lower zone, chloride concentrations were as much as 16,210 mg/L and specific conductance as much as 46,000 micromhos per centimeter. Aquifer head and artesian flow from the well generally increased with depth. Water temperatures also increased from 23 C in the upper part of the aquifer to more than 28 C in the lower saline zone. (USGS)

  8. Integrated Pest Management Plan 2008-2013 Madison Wetland Management District

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The purpose of the Integrated Pest Management Plan is to provide a comprehensive, environmentally sensitive approach to managing pests on the Madison WMD. The goals...

  9. Generalized thickness of the Madison Limestone and Englewood Formation, Black Hills, South Dakota.

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set is a polygon coverage created in ARC/INFO that represents the generalized thickness of the Madison Limestone and Englewood Formation, Black Hills,...

  10. Comprehensive Conservation Plan: Huron Wetland Management District, Madison Wetland Management District, Sand Lake Wetland Management District

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Comprehensive Conservation Plan (CCP) was written to guide management on Huron Wetland Management District, Madison Wetland Management District, and Sand Lake...

  11. Cultural Resources Investigations at Redstone Arsenal, Madison County, Alabama. Volume I.

    Science.gov (United States)

    1980-01-01

    indirectly from Mesoamerica to account for the technical and demogra- phic changes at this time. Finally, Caldwell (1971) prefers to see the growth at...pushing down the Tennessee River. This action brought them into direct contact with the Creek, resulting in a protracted war which culminated with a...173b arid fought them to a draw in 1740, the Chickasaw were succumbing to the effects of war and disease. Rather than living in the fortified towns at

  12. Preliminary geologic map of the Stanardsville 7.5' quadrangle, Greene and Madison Counties, Virginia

    Science.gov (United States)

    Burton, William C.; Bailey, Christopher M.; Crider, E. Allen

    2012-01-01

    The Stanardsville 7.5-minute quadrangle is located about 30 kilometers north of Charlottesville, Virginia, in the eastern foothills of the Blue Ridge and within the Blue Ridge physiographic province. The quadrangle contains a small part of the eastern margin of Shenandoah National Park along Saddleback Mountain just north of Swift Run Gap and stretches of Swift Run and the South, Conway, and Rapidan Rivers. The broad valleys occupied by these southeast-draining streams alternate with ridges as much as 1,700 feet high to produce a varied topography, with the 3,000- to 4,000-foot-high Blue Ridge defining the western horizon. The bedrock geology of the quadrangle was mapped at a scale of 1:24,000 as part of the Geology of Shenandoah National Park Project (which was conducted from 1995 to 2008) of the U.S. Geological Survey National Cooperative Geologic Mapping Program. The results of the mapping were incorporated in the Geologic Map of the Shenandoah National Park Region, Virginia (USGS Open-File Report 2009-1153).

  13. 2013 Georgia Department of Natural Resources (GADNR) Topographic Lidar: Barrow, Clarke, Madison and Oglethorpe Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Contract: EA133C11CQ0009 NOAA Task Order Number: T0013 The PS FY13 GA DNR Elevation Data Task Order involves collecting and delivering topographic elevation...

  14. 2013 Georgia Department of Natural Resources (GADNR) Topographic Lidar: Barrow, Clarke, Madison and Oglethorpe Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Contract: EA133C11CQ0009NOAA Task Order Number: T0013The PSFY13 GA DNR Elevation Data Task Order involves collecting and delivering topographic elevation point...

  15. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, MADISON COUNTY, MISSISSIPPI AND INCORPORATED AREAS

    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...

  16. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, MADISON COUNTY, TENNESSEE AND INCORPORATED AREAS

    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...

  17. Cultural Resources Investigations at Redstone Arsenal, Madison County, Alabama. Volume II.

    Science.gov (United States)

    1980-01-01

    b-e, Mulberry Creek Plain rims; f and g, Muliberry Creek Plain, smoothed; h, Mulberry Creek Plain, brushed . 3 342 C d Ile AOK e _4 4 PLTE7. IHI...occurred within 30 meters (98 teet ) of the centerpoint, though two isolated flakes were identified 50 ieters (164 feet) upslope south of the

  18. Hydrologic budgets for the Madison and Minnelusa aquifers, Black Hills of South Dakota and Wyoming, water years 1987-96

    Science.gov (United States)

    Carter, Janet M.; Driscoll, Daniel G.; Hamade, Ghaith R.; Jarrell, Gregory J.

    2001-01-01

    subareas are identified for the Madison and Minnelusa aquifers, and previous components from the overall budget generally are distributed over the subareas. Estimates of net ground-water flow for the two aquifers are computed, with net ground-water outflow exceeding inflow for most subareas. Outflows range from 5.9 ft3/s in the area east of Rapid City to 48.6 ft3/s along the southwestern flanks of the Black Hills. Net groundwater inflow exceeds outflow for two subareas where the discharge of large artesian springs exceeds estimated recharge within the subareas. More detailed subarea budgets also are developed, which include estimates of flow components for the individual aquifers at specific flow zones. The net outflows and inflows from the preliminary subarea budgets are used to estimate transmissivity of flow across specific flow zones based on Darcy?s Law. For estimation purposes, it is assumed that transmissivities of the Madison and Minnelusa aquifers are equal in any particular flow zone. The resulting transmissivity estimates range from 90 ft2/d to about 7,400 ft2/d, which is similar to values reported by previous investigators. The highest transmissivity estimates are for areas in the northern and southwestern parts of the study area, and the lowest transmissivity estimates are along the eastern study area boundary. Evaluation of subarea budgets provides confidence in budget components developed for the overall budget, especially regarding precipitation recharge, which is particularly difficult to estimate. Recharge estimates are consistently compatible with other budget components, including artesian springflow, which is a dominant component in many subareas. Calculated storage changes for subareas also are consistent with other budget components, specifically artesian springflow and net ground-water flow, and also are consistent with water-level fluctuations for observation wells. Ground-water budgets and flowpaths are especially complex i

  19. Concentrations of Polycyclic Aromatic Hydrocarbons (PAHs) in Urban Stormwater, Madison, Wisconsin, 2005-08

    Science.gov (United States)

    Selbig, William R.

    2009-01-01

    Concentrations of 18 PAH compounds were characterized from six urban source areas (parking lots, feeder street, collector street, arterial street, rooftop, and strip mall) around Madison, Wisconsin. Parking lots were categorized into those that were or were not sealed. On average, chrysene, fluoranthene, and pyrene were the dominant PAH compounds in all urban stormwater samples. Geometric mean concentrations for most individual PAH compounds were significantly greater for a parking lot that was sealed than for lots that were not sealed. Results from this study are consistent with similar studies that measured PAH concentrations in urban stormwater samples in Marquette, Mich., and Madison, Wis.

  20. Lateral and vertical channel movement and potential for bed-material movement on the Madison River downstream from Earthquake Lake, Montana

    Science.gov (United States)

    Chase, Katherine J.; McCarthy, Peter M.

    2012-01-01

    prevented sediment sampling. Movement of these materials might require higher critical shear stresses than estimated in this report. Characterization of sediment sizes in the center of the stream and observation of bed-material movement for a range of streamflows could provide information to help refine the Shields parameter and critical-shear stress estimates for bed materials in the Madison River downstream from Earthquake Lake. Furthermore, resurveying cross sections and water-surface elevations more frequently (either annually or after high streamflows) could better define the relation between streamflow and lateral and vertical channel movement.

  1. Research in the Doctoral Program in Second Language Acquisition at the University of Wisconsin-Madison

    Science.gov (United States)

    De Costa, Peter I.; Bernales, Carolina; Merrill, Margaret

    2011-01-01

    Faculty and graduate students in the Doctoral Program in Second Language Acquisition (SLA) at the University of Wisconsin-Madison engage in a broad spectrum of research. From Professor Sally Magnan's research on study abroad and Professor Monika Chavez's work in foreign language policy through Professor Richard Young's examination of…

  2. 2006 Multibeam Mapping of cross-shelf corridor, North of Madison-Swanson - Florida

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This disk or set of disks contain high-resolution multibeam and backscatter maps of an area North of Madison-Swanson (29.1667N, 85.6667W), in the West-Florida shelf,...

  3. 77 FR 48538 - Notice of Inventory Completion: State Historical Society of Wisconsin, Madison, WI

    Science.gov (United States)

    2012-08-14

    ... agency that has control of the Native American human remains. The National Park Service is not... Native American. Pursuant to 25 U.S.C. 3001(2), a relationship of shared group identity cannot be... National Park Service Notice of Inventory Completion: State Historical Society of Wisconsin, Madison, WI...

  4. 76 FR 65525 - Huron, Madison, and Sand Lake Wetland Management District; Comprehensive Conservation Plan

    Science.gov (United States)

    2011-10-21

    ..., photography, environmental education, and interpretation. Domestic livestock grazing, prescribed fire, and... conservation plan (CCP) and environmental assessment (EA) for the Huron, Madison, and Sand Lake Wetland... which to compare other alternatives. It is also a requirement of the National Environmental Policy Act...

  5. Evaluation of agricultural tile drainage exposure and effects to service trust resources, Madison Wetland Management District, South Dakota

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Final report on a project at Madison Wetland Management District to measure discharged tile drain pollutants (nutrients, pesticides, salts, metals and metalloids) in...

  6. Alternatives to the Madison Formula, the Original Do-It Yourself Semitransparent Stain

    Science.gov (United States)

    Mark Knaebe

    2013-01-01

    The “Madison formula” was developed at the Forest Products Laboratory around 1950 as a simple linseed-oil-based finish that could be made from readily available components. It was one of the first formulations of its type—a penetrating finish that eliminated the problems with cracking and peeling commonly found with the oil-based paints available at that time. The...

  7. Integration of Wind Energy Systems into Power Engineering Education Program at UW-Madison

    Energy Technology Data Exchange (ETDEWEB)

    Venkataramanan, Giri [Univ. of Wisconsin, Madison, WI (United States); Lesieutre, Bernard [Univ. of Wisconsin, Madison, WI (United States); Jahns, Thomas [Univ. of Wisconsin, Madison, WI (United States); Desai, Ankur R [Univ. of Wisconsin, Madison, WI (United States)

    2012-09-01

    This project has developed an integrated curriculum focused on the power engineering aspects of wind energy systems that builds upon a well-established graduate educational program at UW- Madison. Five new courses have been developed and delivered to students. Some of the courses have been offered on multiple occasions. The courses include: Control of electric drives for Wind Power applications, Utility Applications of Power Electronics (Wind Power), Practicum in Small Wind Turbines, Utility Integration of Wind Power, and Wind and Weather for Scientists and Engineers. Utility Applications of Power Electronics (Wind Power) has been provided for distance education as well as on-campus education. Several industrial internships for students have been organized. Numerous campus seminars that provide discussion on emerging issues related to wind power development have been delivered in conjunction with other campus events. Annual student conferences have been initiated, that extend beyond wind power to include sustainable energy topics to draw a large group of stakeholders. Energy policy electives for engineering students have been identified for students to participate through a certificate program. Wind turbines build by students have been installed at a UW-Madison facility, as a test-bed. A Master of Engineering program in Sustainable Systems Engineering has been initiated that incorporates specializations that include in wind energy curricula. The project has enabled UW-Madison to establish leadership at graduate level higher education in the field of wind power integration with the electric grid.

  8. The National Astronomy Consortium (NAC) - the University of Wisconsin-Madison Cohort

    Science.gov (United States)

    Hooper, Eric; Sheth, Kartik; Mills, Elisabeth A. C.; National Astronomy Consortium

    2015-01-01

    The UW-Madison Research Experiences for Undergraduates (REU) program in astrophysics (http://www.astro.wisc.edu/undergrads/uw-madison-reu-program/) is partnering with the National Radio Astronomy Observatory, the National Society of Black Physicists, and other universities in an entity called the National Astronomy Consortium (NAC; see https://sites.google.com/site/nraonac/). The mission of the NAC is to increase the numbers of students who might otherwise be overlooked by the traditional academic pipeline into STEM, or related, careers. This begins with a cohort of students who are part of the regular REU program. In addition to working on original research projects under the mentorship of university astronomers and astrophysics, the cohort students participate in professional development seminars and join other NAC cohort sites in a diversity speaker series. The mentor-student and student-student connections continue beyond the summer, including a fall meeting of the national NAC cohorts. The UW-Madison REU program is supported by the National Science Foundation through Award AST-1004881.

  9. Stratigraphic sections, depositional environments, and metal content of the upper part of the Middle Pennsylvanian Minturn Formation, Northern Sangre De Cristo Range, Custer and Saguache counties, Colorado

    Science.gov (United States)

    Clark, R.F.; Walz, D.M.

    1985-01-01

    The calcareous upper part of the 2,000-meter-thick Middle Pennsylvanian Minturn Formation (Lindsey and others, 1985) in the northern Sangre de Cristo Range is a key stratigraphic interval for correlating rocks and mapping the structure of the range. The stratigraphy of this complex and heretofore poorly known interval is reported here in order to provide a basis for correlation among the structural blocks in the range. Inferred depositional environments of the upper part of the Minturn Formation are described briefly.

  10. Evapotranspiration units in the Basin and Range carbonate-rock aquifer system, White Pine County, Nevada, and adjacent parts of Nevada and Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Accurate estimates of ground-water discharge are crucial in the development of a water budget for the Basin and Range Carbonate-rock Aquifer System (BARCAS) study...

  11. Irrigated Acreage Within the Basin and Range Carbonate-Rock Aquifer System, White Pine County, Nevada and Adjacent Areas in Nevada and Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Accurate delineations of irrigated acreage are needed for the development of water-use estimates and in determining water-budget calculations for the Basin and Range...

  12. 40 CFR 81.328 - Nebraska.

    Science.gov (United States)

    2010-07-01

    ... County Knox County Lancaster County Lincoln County Logan County Loup County Madison County McPherson... Lancaster County Lincoln County Logan County Loup County Madison County McPherson County Merrick County... Lancaster County Lincoln County Logan County Loup County Madison County McPherson County Merrick County...

  13. Map of debris flows caused by rainfall during 1996 in parts of the Reedsport and Deer Head Point quadrangles, Douglas County, southern Coast Range, Oregon

    Science.gov (United States)

    Coe, Jeffrey A.; Michael, John A.; Burgos, Marianela Mercado

    2011-01-01

    This 1:12,000-scale map shows an inventory of debris flows caused by rainfall during 1996 in a 94.4 km2 area in the southern Coast Range of Oregon. This map and associated digital data are part of a larger U.S. Geological Survey study of debris flows in the southern Coast Range. Available evidence indicates that the flows were triggered by a rain storm that occurred between November 17 and 19. The closest rain gage in the Coast Range (Goodwin Peak) recorded 245 mm during the storm. Maximum rainfall intensity during the storm was 13.2 mm/hr on November 18. Debris flows were photogrammetrically mapped from 1:12,000-scale aerial photographs flown in May, 1997. The inventory is presented on imagery derived from LiDAR data acquired in 2008. We classified mapped debris flows into four categories based on the type of debris-flow activity: (1) discrete slide source areas, (2) predominantly erosion, (3) predominantly transport or mixed erosion and deposition, and (4) predominantly deposition. Locations of woody-debris jams are also shown on the map. The area encompassed by debris flows is 2.1 percent of the 94.4 km2 map area.

  14. 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...

  15. An Archeological Overview and Management Plan for the Lexington-Blue Grass Depot Activity, Fayette, Bourbon, and Madison Counties, Kentucky.

    Science.gov (United States)

    1985-02-25

    1961(11). Raitz, Karla B. 1980. The Kentucky Bluegrass: A Regional Profile and Guide. Chapel Hill: University of North Carolina, Department of Geography...earth moving activities. A visual inspection of sporadically occurring patches of bare earth, erosional gullies, and animal burrows supplemented by

  16. Environmental Inventory Report. East St. Louis and Vicinity, Cahokia Canal Drainage Area, Madison and St. Clair Counties, Illinois. Volume 4.

    Science.gov (United States)

    1981-05-01

    the West Slavs (Poles, Czechs, Slovaks), the South Slavs (Slovenes, Croats, Serbs, Bulgarians, Macedonians), Hungarians, Mexicans, Greeks , Armenians...exploited, but socially discriminated against and verbally insulted. Among the favorite and printable epithets hurled at them were "Hunky", 𔃾ohunk", "Polak...churches to open missions among these almost exclusively Greek Orthodox or Roman Catholic people. One such mission, the Near East Mission of St. Louis

  17. Environmental Inventory Report. East St. Louis and Vicinity, Cahokia Canal Drainage Area, Madison and St. Clair Counties, Illinois. Volume 6.

    Science.gov (United States)

    1981-05-01

    Sacred Heart of Jesus Polish National Catholic Church 15. Polish Notional Hall 16.REustian Orthodox Church of the Nativity of Virgin Mery % 17. Creation...U.S.A. * I26. Slovak Apostolic Christian Church (27. Croatian Hall - - - ----- -- --- 28. Czech Nationol Hall 29. Lithuanian Immaculate Conception

  18. Geology and geothermal resources of the Santiam Pass area of the Oregon Cascade Range, Deschutes, Jefferson and Linn Counties, Oregon. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Hill, B.E. [ed.

    1992-10-01

    This open-file report presents the results of the Santiam Pass drilling program. The first phase of this program was to compile all available geological, geophysical and geothermal data for the Santiam Pass area and select a drill site on the basis of these data (see Priest and others, 1987a), A summary of the drilling operations and costs associated with the project are presented in chapter 1 by Hill and Benoit. An Overview of the geology of the Santiam Pass area is presented by Hill and Priest in chapter 2. Geologic mapping and isotopic age determinations in the Santiam Pass-Mount Jefferson area completed since 1987 are summarized in chapter 2. One of the more important conclusions reached in chapter 2 is that a minimum of 2 km vertical displacement has occurred in the High Cascade graben in the Santiam Pass area. The petrology of the Santiam Pass drill core is presented by Hill in chapter 3. Most of the major volcanic units in the core have been analyzed for major, minor, and trace element abundances and have been studied petrographically. Three K-Ar ages are interpreted in conjunction with the magnetostratigraphy of the core to show that the oldest rocks in the core are approximately 1.8 Ma. Geothermal and geophysical data collected from the Santiam Pass well are presented by Blackwell in chapter 4. The Santiam Pass well failed to penetrate beneath the zone of lateral groundwater flow associated with highly permeable Quaternary volcanic rocks. Calculated geothermal gradients range from about 50{degree}C/km at depth 700-900 m, to roughly 110{degree}C/km from 900 m to the bottom of the well at 929 m. Heat-flow values for the bottom part of the hole bracket the regional average for the High Cascades. Blackwell concludes that heat flow along the High Cascades axis is equal to or higher than along the western edge of the High Cascades.

  19. Selected wells and test holes used in structure-contour maps of the Inyan Kara Group, Minnekahta Limestone, Minnelusa Formation, Madison Limestone, and Deadwood Formation in the Black Hills Area, South Dakota

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset describes wells and test holes completed in the Madison Limestone that were used to create the structure-contours for the top of the Madison Limestone,...

  20. 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...

  1. Linking climate change and karst hydrology to evaluate species vulnerability: The Edwards and Madison aquifers (Invited)

    Science.gov (United States)

    Mahler, B. J.; Long, A. J.; Stamm, J. F.; Poteet, M.; Symstad, A.

    2013-12-01

    Karst aquifers present an extreme case of flow along structurally variable pathways, making them highly dynamic systems and therefore likely to respond rapidly to climate change. In turn, many biological communities and ecosystems associated with karst are sensitive to hydrologic changes. We explored how three sites in the Edwards aquifer (Texas) and two sites in the Madison aquifer (South Dakota) might respond to projected climate change from 2011 to 2050. Ecosystems associated with these karst aquifers support federally listed endangered and threatened species and state-listed species of concern, including amphibians, birds, insects, and plants. The vulnerability of selected species associated with projected climate change was assessed. The Advanced Research Weather and Research Forecasting (WRF) model was used to simulate projected climate at a 36-km grid spacing for three weather stations near the study sites, using boundary and initial conditions from the global climate model Community Climate System Model (CCSM3) and an A2 emissions scenario. Daily temperature and precipitation projections from the WRF model were used as input for the hydrologic Rainfall-Response Aquifer and Watershed Flow (RRAWFLOW) model and the Climate Change Vulnerability Index (CCVI) model. RRAWFLOW is a lumped-parameter model that simulates hydrologic response at a single site, combining the responses of quick and slow flow that commonly characterize karst aquifers. CCVI uses historical and projected climate and hydrologic metrics to determine the vulnerability of selected species on the basis of species exposure to climate change, sensitivity to factors associated with climate change, and capacity to adapt to climate change. An upward trend in temperature was projected for 2011-2050 at all three weather stations; there was a trend (downward) in annual precipitation only for the weather station in Texas. A downward trend in mean annual spring flow or groundwater level was projected for

  2. Fate of geothermal mercury from Yellowstone National Park in the Madison and Missouri Rivers, USA.

    Science.gov (United States)

    Nimick, David A; Caldwell, Rodney R; Skaar, Donald R; Selch, Trevor M

    2013-01-15

    Mercury is a worldwide contaminant derived from natural and anthropogenic sources. River systems play a key role in the transport and fate of Hg because they drain widespread areas affected by aerial Hg deposition, transport Hg away from point sources, and are sites of Hg biogeochemical cycling and bioaccumulation. The Madison and Missouri Rivers provide a natural laboratory for studying the fate and transport of Hg contributed by geothermal discharge in Yellowstone National Park and from the atmosphere for a large drainage basin in Montana and Wyoming, United States of America (USA). Assessing Hg in these rivers also is important because they support fishery-based recreation and irrigated agriculture. During 2002 to 2006, Hg concentrations were measured in water, sediment, and fish from the main stem, 7 tributaries, and 6 lakes. Using these data, the geothermal Hg load to the Madison River and overall fate of Hg along 378 km of the Missouri River system were assessed. Geothermal Hg was the primary source of elevated total Hg concentrations in unfiltered water (6.2-31.2 ng/L), sediment (148-1100 ng/g), and brown and rainbow trout (0.12-1.23 μg total Hg/g wet weight skinless filet) upstream from Hebgen Lake (the uppermost impoundment). Approximately 7.0 kg/y of geothermal Hg was discharged from the park via the Madison River, and an estimated 87% of that load was lost to sedimentation in and volatilization from Hebgen Lake. Consequently, Hg concentrations in water, sediment, and fish from main-stem sites downstream from Hebgen Lake were not elevated and were comparable to concentrations reported for other areas affected solely by atmospheric Hg deposition. Some Hg was sequestered in sediment in the downstream lakes. Bioaccumulation of Hg in fish along the river system was strongly correlated (r(2)=0.76-0.86) with unfiltered total and methyl Hg concentrations in water and total Hg in sediment. Published by Elsevier B.V.

  3. 76 FR 58032 - Notice of Intent To Repatriate a Cultural Item: State Historical Society of Wisconsin, Madison, WI

    Science.gov (United States)

    2011-09-19

    ... National Park Service Notice of Intent To Repatriate a Cultural Item: State Historical Society of Wisconsin, Madison, WI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The State Historical Society... believes itself to be culturally affiliated with the cultural item may contact the State Historical Society...

  4. "Well Acquainted with Books." The Founding Framers of 1787. With James Madison's List of Books for Congress.

    Science.gov (United States)

    Rutland, Robert A.

    Published to commemorate the Constitution's bicentennial year and remind Americans that books and the life of the mind are vital national traditions, this volume contains both an essay, "Well Acquainted with Books: The Founding Framers of 1787," by Robert A. Rutland, and James Madison's List of Books for Congress, 1783. The essay…

  5. Annie Lechenet. Jefferson-Madison, Un débat sur la République.

    Directory of Open Access Journals (Sweden)

    Marie-Jeanne Rossignol

    2006-04-01

    Full Text Available Annie Léchenet est une philosophe, auteure d’une thèse sur la citoyenneté chez Thomas Jefferson. Pour cet ouvrage au format imposé (128 pages, les PUF lui ont confié la mission plus ambitieuse encore consistant à présenter les idées de Jefferson et de Madison. L’angle choisi est plutôt original : alors qu’il est de tradition d’associer les deux hommes, fondateurs du parti démocrate-républicain dans les années 1790, puis proches collaborateurs politiques tout le reste de leur existence, Annie...

  6. Two-point motional Stark effect diagnostic for Madison Symmetric Torus

    Energy Technology Data Exchange (ETDEWEB)

    Ko, J.; Den Hartog, D. J.; Caspary, K. J.; Den Hartog, E. A. [University of Wisconsin-Madison, Madison, Wisconsin 53706 (United States); Pablant, N. A. [University of California-San Diego, La Jolla, California 92093 (United States); Summers, H. P. [University of Strathclyde, Glasgow G1 1XQ, Scotland (United Kingdom)

    2010-10-15

    A high-precision spectral motional Stark effect (MSE) diagnostic provides internal magnetic field measurements for Madison Symmetric Torus (MST) plasmas. Currently, MST uses two spatial views - on the magnetic axis and on the midminor (off-axis) radius, the latter added recently. A new analysis scheme has been developed to infer both the pitch angle and the magnitude of the magnetic field from MSE spectra. Systematic errors are reduced by using atomic data from atomic data and analysis structure in the fit. Reconstructed current density and safety factor profiles are more strongly and globally constrained with the addition of the off-axis radius measurement than with the on-axis one only.

  7. Spatially Resolved Measurements of Ion Heating during Impulsive Reconnection in the Madison Symmetric Torus

    Science.gov (United States)

    Gangadhara, S.; Craig, D.; Ennis, D. A.; Hartog, D. J. Den; Fiksel, G.; Prager, S. C.

    2007-02-01

    The impurity ion temperature evolution has been measured during three types of impulsive reconnection events in the Madison Symmetric Torus reversed field pinch. During an edge reconnection event, the drop in stored magnetic energy is small and ion heating is observed to be limited to the outer half of the plasma. Conversely, during a global reconnection event the drop in stored magnetic energy is large, and significant heating is observed at all radii. For both kinds of events, the drop in magnetic energy is sufficient to explain the increase in ion thermal energy. However, not all types of reconnection lead to ion heating. During a core reconnection event, both the stored magnetic energy and impurity ion temperature remain constant. The results suggest that a drop in magnetic energy is required for ions to be heated during reconnection, and that when this occurs heating is localized near the reconnection layer.

  8. A comparison between soft x-ray and magnetic phase data on the Madison symmetric torus

    Energy Technology Data Exchange (ETDEWEB)

    VanMeter, P. D., E-mail: pvanmeter@wisc.edu; Reusch, L. M.; Sarff, J. S.; Den Hartog, D. J. [University of Wisconsin-Madison, Madison, Wisconsin 53706 (United States); Franz, P. [Consorzio RFX, Padova (Italy)

    2016-11-15

    The Soft X-Ray (SXR) tomography system on the Madison Symmetric Torus uses four cameras to determine the emissivity structure of the plasma. This structure should directly correspond to the structure of the magnetic field; however, there is an apparent phase difference between the emissivity reconstructions and magnetic field reconstructions when using a cylindrical approximation. The difference between the phase of the dominant rotating helical mode of the magnetic field and the motion of the brightest line of sight for each SXR camera is dependent on both the camera viewing angle and the plasma conditions. Holding these parameters fixed, this phase difference is shown to be consistent over multiple measurements when only toroidal or poloidal magnetic field components are considered. These differences emerge from physical effects of the toroidal geometry which are not captured in the cylindrical approximation.

  9. Statistical analysis of variations in impurity ion heating at reconnection events in the Madison Symmetric Torus

    Energy Technology Data Exchange (ETDEWEB)

    Cartolano, M. S.; Craig, D., E-mail: darren.craig@wheaton.edu [Wheaton College, Wheaton, Illinois 60187 (United States); Den Hartog, D. J.; Kumar, S. T. A.; Nornberg, M. D. [University of Wisconsin-Madison, Madison, Wisconsin 53706 (United States); Center for Magnetic Self-Organization in Laboratory and Astrophysical Plasmas, Madison, Wisconsin 53706 (United States)

    2014-01-15

    The connection between impurity ion heating and other physical processes in the plasma is evaluated by studying variations in the amount of ion heating at reconnection events in the Madison Symmetric Torus (MST). Correlation of the change in ion temperature with individual tearing mode amplitudes indicates that the edge-resonant modes are better predictors for the amount of global ion heating than the core-resonant modes. There is also a strong correlation between ion heating and current profile relaxation. Simultaneous measurements of the ion temperature at different toroidal locations reveal, for the first time, a toroidal asymmetry to the ion heating in MST. These results present challenges for existing heating theories and suggest a stronger connection between edge-resonant tearing modes, current profile relaxation, and ion heating than has been previously thought.

  10. PEER DEVELOPMENT OF UNDERGRADUATE ASTRONOMERS AND PHYSICISTS AT THE UNIVERSITY OF WISCONSIN - MADISON

    Science.gov (United States)

    Abler, Melissa; UW-Madison, Physics Club of

    2014-01-01

    The physics club at the University of Wisconsin - Madison is actively engaged in many peer-led activities that foster development of career-oriented skills. The Garage Physics program utilizes old, unwanted laboratory equipment to enable students’ in-depth exploration of classroom experiments and to investigate their own ideas. The ability to explore individual interests independently further develops research skills and assists in students’ retention of classroom knowledge. The finished products are then presented to the public at various science education and outreach events throughout the community. Sharing self-motivated projects with the public not only enhances public knowledge, understanding, and interest, but also develops valuable communication skills in the students. A self-developed introductory research guidebook helps younger club members find a mentor in the astronomy or physics departments and begin working in a research group. Senior undergraduate students also facilitate a panel each semester to discuss their experiences in acquiring and maintaining an undergraduate research position.

  11. Parking lot runoff quality and treatment efficiencies of a hydrodynamic-settling device in Madison, Wisconsin, 2005-6

    Science.gov (United States)

    Horwatich, Judy A.; Bannerman, Roger T.

    2012-01-01

    A hydrodynamic-settling device was installed in 2004 to treat stormwater runoff from a roof and parking lot located at the Water Utility Administration Building in Madison, Wis. The U.S. Geological Survey, in cooperation with the Wisconsin Department of Natural Resources, the City of Madison, cities in the Waukesha Permit Group, Hydro International, Earth Tech, Inc., National Sanitation Foundation International, and the U.S. Environmental Protection Agency, monitored the device from November 2005 through September 2006 to evaluate it as part of the U.S. Environmental Protection Agency's Environmental Technology Verification Program. Twenty-three runoff events monitored for flow volume and water quality at the device's inlet and outlet were used to calculate the percentage of pollutant reduction for the device. The geometric mean concentrations of suspended sediment (SS), "adjusted" total suspended solids (TSS), total phosphorus (TP), dissolved phosphorus (DP), total recoverable zinc (TZn), and total recoverable copper (TCu) measured at the inlet were 107 mg/L (milligrams per liter), 92 mg/L, 0.17 mg/L, 0.05 mg/L, 38 μg/L (micrograms per liter), and 12 μg/L, respectively, and these concentrations are in the range of values observed in stormwater runoff from other parking lots in Wisconsin and Michigan. Efficiency of the settling device was calculated using the efficiency ratio and summation of loads (SOL) methods. Using the efficiency ratio method, the device reduced concentrations of SS, and DP, by 19, and 15, percent, respectively. Using the efficiency ratio method, the device increased "adjusted" TSS and TZn concentrations by 5 and 19, respectively. Bypass occurred for 3 of the 23 runoff events used in this assessment, and the bypass flow and water-quality concentrations were used to determine the efficiency of the bypass system. Concentrations of SS, "adjusted" TSS, and DP were reduced for the system by 18, 5, and 18, respectively; however, TZn increased by 5

  12. Geothermal applications on the Madison (Pahasapa) aquifer system in South Dakota. Final report, October 1, 1976--September 30, 1977

    Energy Technology Data Exchange (ETDEWEB)

    Gries, J.P.

    1977-09-01

    Pertinent geologic, hydrologic, and chemical data for the Madison Formation underlying western South Dakota are presented in text and in graphic form. A temperature anomaly in west central South Dakota makes 130 to 160/sup 0/F water available at depths of less than 3500 ft. A central geothermal space heating system designed for Midland, South Dakota indicates that by 1980 geothermal heat will be competitive with existing energy sources. Preliminary tests indicate the superiority of 304 or 316 stainless steel for fabrication of equipment to utilize the warm, corrosive Madison water. South Dakota has no statutes governing geothermal resources; under existing water law, geothermal water would be classified as a top priority domestic use. Suggestions are made for state legislation pertaining to the development of geothermal energy.

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

    Data.gov (United States)

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

  14. Gear comparison for sampling age-0 Mountain Whitefish in the Madison River, Montana

    Science.gov (United States)

    Boyer, Jan K.; Guy, Christopher S.; Webb, Molly A.H.; Horton, Travis B.; McMahon, Thomas E.

    2017-01-01

    The efficacy of various sampling gears for age-0 Mountain Whitefish Prosopium williamsoni is largely unknown, which makes it difficult to investigate recruitment and early life history dynamics for the species. We compared four gears: seine, backpack electrofisher, minnow trap, and lighted minnow trap. Gears were tested in backwaters, large channels, and small channels in the Madison River, Montana. No age-0 Mountain Whitefish were captured in minnow traps or lighted minnow traps. Mean CPUE of age-0 Mountain Whitefish was higher for seining (0.18 fish/m2; SD, 0.39) than for electrofishing (0.01 fish/m2; SD, 0.03), and the CV was lower for seining. A broader length distribution was sampled by seining (17–41 mm) than with electrofishing (21–36 mm). Age-0 Mountain Whitefish CPUE in seines was highest in backwaters. In channel sites, Mountain Whitefish presence was associated with areas of still or slow water ≥2 m2. Relative to the other sampling gears we evaluated, seining was the most efficient gear for sampling age-0 Mountain Whitefish in a lotic ecosystem.

  15. Peer Development of Undergraduate Astronomers and Physicists at the University of Wisconsin - Madison

    Science.gov (United States)

    Abler, Melissa; UW-Madison, Physics Club of

    2014-01-01

    The physics club at the University of Wisconsin - Madison is actively engaged in many peer-led activities that foster development of career-oriented skills. Peer mentoring through drop-in tutoring provides peer support to promote retention in the astronomy and physics majors, as well as developing valuable teaching and communication strategies. The physics club is also heavily involved in outreach and education through demonstrations on campus, strengthening student connections to and aiding in retention of classroom information. Public demonstrations also develop valuable communication skills which will be required as a professional. Application-oriented development of students is further enhanced by semiannual visits to research facilities in the surrounding area which provide interested students the opportunity to see non-university facilities firsthand. Close contact with faculty - a valuable resource for undergraduates - is achieved through faculty attendance at club events and presentation of faculty research to interested students. Undergraduates also have the opportunity through the physics club to speak with the weekly colloquium presenter, learning more about each presenter’s experiences with graduate school, research, and career path.

  16. The Physics Learning Program at UW-Madison: Strategies for Creating an Inclusive Learning Environment

    Science.gov (United States)

    Nossal, S. M.; Watson, L. E.; Jacob, A. T.; Reading, J. A.

    2005-05-01

    The Physics Learning Program at the University of Wisconsin-Madison provides a supportive learning environment for introductory physics students potentially at-risk for having academic trouble or for feeling isolated at the University. Physics is a gateway course for many undergraduate science majors such as biology, physics, geophysics, atmospheric science, and astronomy, and for pre-health professions. Many students struggle with their physics courses due to factors including large class sizes, isolation and lack of study partners, and/or lack of confidence in mathematical problem solving skills. Our students include those with learning disabilities, no high school physics, weak math backgrounds, and/or on academic probation. We also work with students who may be feeling isolated, such as students from historically underrepresented racial and ethnic groups, first generation college students, returning adults, international students, and students from small rural schools. Many of our students are also part of retention programs such as the TRIO program, the Academic Advancement Program, the McNair Scholars Program, and the McBurney Disability Resource Center. The Physics Learning Program's Peer Mentor Tutor program is run in conjunction with similar programs for chemistry and biochemistry at the University of Wisconsin. We will discuss strategies we use for creating an inclusive learning environment that engages students in their learning. Such strategies include small group instruction, ongoing training of the tutors, teaching problem solving skills, and creating a welcoming atmosphere.

  17. Electrically driving large magnetic Reynolds number flows on the Madison plasma dynamo experiment

    Science.gov (United States)

    Weisberg, David; Wallace, John; Peterson, Ethan; Endrezzi, Douglass; Forest, Cary B.; Desangles, Victor

    2015-11-01

    Electrically-driven plasma flows, predicted to excite a large-scale dynamo instability, have been generated in the Madison plasma dynamo experiment (MPDX), at the Wisconsin Plasma Astrophysics Laboratory. Numerical simulations show that certain topologies of these simply-connected flows may be optimal for creating a plasma dynamo and predict critical thresholds as low as Rmcrit =μ0 σLV = 250 . MPDX plasmas are shown to exceed this critical Rm , generating large (L = 1 . 4 m), warm (Te > 10 eV), unmagnetized (MA > 1) plasmas where Rm torque in Helium plasmas. Detailed Mach probe measurements of plasma velocity for two flow topologies will be presented: edge-localized drive using the multi-cusp boundary field, and volumetric drive using an axial Helmholtz field. Radial velocity profiles show that edge-driven flow is established via ion viscosity but is limited by a volumetric neutral drag force (χ ~ 1 / (ντin)), and measurements of velocity shear compare favorably to Braginskii transport theory. Volumetric flow drive is shown to produce stronger velocity shear, and is characterized by the radial potential gradient as determined by global charge balance.

  18. Magnetic reconstruction of nonaxisymmetric quasi-single-helicity configurations in the Madison Symmetric Torus

    Energy Technology Data Exchange (ETDEWEB)

    Auriemma, F; Zanca, P; Franz, P; Innocente, P; Lorenzini, R; Momo, B; Terranova, D [Consorzio RFX, Associazione EURATOM-ENEA sulla Fusione 35127 Padova (Italy); Bergerson, W F; Ding, W X; Brower, D L [Department of Physics and Astronomy, University of California, Los Angeles, CA 90095 (United States); Chapman, B E [Department of Physics, University of Wisconsin, Madison, WI 53706 (United States)

    2011-10-15

    Quasi-single-helicity (QSH) states, characterized by a magnetic spectrum dominated by the innermost resonant tearing mode, are common to all the reversed field pinch (RFP) experiments. The internal magnetic field structure produced by the dominant mode is investigated for the QSH observed in the Madison Symmetric Torus (MST) RFP in discharges with zero toroidal magnetic field at the plasma boundary. The reconstruction is based on an MHD model coupled to edge measurements of the magnetic field. The model discards pressure, which has little effect on the equilibrium magnetic profile of present RFP plasmas, but adopts a realistic toroidal geometry. The technique is the adaptation to the MST configuration of a procedure already applied in RFX-mod, but a more general radial profile for the current density is needed for an adequate reconstruction of the MST case. The emerging features are similar to those found in RFX-mod. The helical flux surfaces of the dominant mode provide, with a good degree of reliability, a basis for mapping kinetic quantities such as electron density and soft-x-ray emissivity.

  19. Using IDA to Understand Electron Temperature Structures in High Temperature Discharges in the Madison Symmetric Torus

    Science.gov (United States)

    Reusch, L. M.; Galante, M. E.; den Hartog, D. J.; Franz, P.; Johnson, J. R.; McGarry, M. B.; Stephens, H. D.

    2014-10-01

    The Madison Symmetric Torus (MST) Reversed-Field Pinch is equipped with two independent electron temperature (Te) diagnostics: Thomson scattering (TS) and double-filter soft x-ray (SXR). Both diagnostics are able to measure Te at a rate up to 25 kHz and are in good qualitative agreement in the hot plasma core, where Te > 1 keV. We are able to combine information from both TS and SXR diagnostics along with prior physics knowledge using integrated data analysis techniques (IDA) [R. Fischer and A. Dinklage, Rev. Sci. Instrum. 75, 4237 (2004)] to improve the precision and utility of Te measurements on MST. Using IDA, there is a factor of 4 improvement in the uncertainty of all temperature measurements. We have also implemented a Markov Chain Monte Carlo analysis for analyzing the various temperature structures that MST is capable of sustaining. We have compared emissivity maps and flux surface reconstructions to the electron temperatures from several discharges to characterize the phenomenology of temperature structures in high temperature plasmas in MST. Work supported by US DOE and NSF.

  20. The Physics Learning Center at the University of Wisconsin-Madison

    Science.gov (United States)

    Nossal, S. M.; Watson, L. E.; Hooper, E.; Huesmann, A.; Schenker, B.; Timbie, P.; Rzchowski, M.

    2013-03-01

    The Physics Learning Center at the University of Wisconsin-Madison provides academic support and small-group supplemental instruction to students studying introductory algebra-based and calculus-based physics. These classes are gateway courses for majors in the biological and physical sciences, pre-health fields, engineering, and secondary science education. The Physics Learning Center offers supplemental instruction groups twice weekly where students can discuss concepts and practice with problem-solving techniques. The Center also provides students with access on-line resources that stress conceptual understanding, and to exam review sessions. Participants in our program include returning adults, people from historically underrepresented racial/ethnic groups, students from families in lower-income circumstances, students in the first generation of their family to attend college, transfer students, veterans, and people with disabilities, all of whom might feel isolated in their large introductory course and thus have a more difficult time finding study partners. We also work with students potentially at-risk for having academic difficulty (due to factors academic probation, weak math background, low first exam score, or no high school physics). A second mission of the Physics Learning Center is to provide teacher training and leadership experience for undergraduate Peer Mentor Tutors. These Peer Tutors lead the majority of the weekly group sessions in close supervision by PLC staff members. We will describe our work to support students in the Physics Learning Center, including our teacher-training program for our undergraduate Peer Mentor Tutors

  1. A high time resolution x-ray diagnostic on the Madison Symmetric Torus.

    Science.gov (United States)

    DuBois, Ami M; Lee, John David; Almagri, Abdulgadar F

    2015-07-01

    A new high time resolution x-ray detector has been installed on the Madison Symmetric Torus (MST) to make measurements around sawtooth events. The detector system is comprised of a silicon avalanche photodiode, a 20 ns Gaussian shaping amplifier, and a 500 MHz digitizer with 14-bit sampling resolution. The fast shaping time diminishes the need to restrict the amount of x-ray flux reaching the detector, limiting the system dead-time. With a much higher time resolution than systems currently in use in high temperature plasma physics experiments, this new detector has the versatility to be used in a variety of discharges with varying flux and the ability to study dynamics on both slow and fast time scales. This paper discusses the new fast x-ray detector recently installed on MST and the improved time resolution capabilities compared to the existing soft and hard x-ray diagnostics. In addition to the detector hardware, improvements to the detector calibration and x-ray pulse identification software, such as additional fitting parameters and a more sophisticated fitting routine are discussed. Finally, initial data taken in both high confinement and standard reversed-field pinch plasma discharges are compared.

  2. A high time resolution x-ray diagnostic on the Madison Symmetric Torus

    Science.gov (United States)

    DuBois, Ami M.; Lee, John David; Almagri, Abdulgadar F.

    2015-07-01

    A new high time resolution x-ray detector has been installed on the Madison Symmetric Torus (MST) to make measurements around sawtooth events. The detector system is comprised of a silicon avalanche photodiode, a 20 ns Gaussian shaping amplifier, and a 500 MHz digitizer with 14-bit sampling resolution. The fast shaping time diminishes the need to restrict the amount of x-ray flux reaching the detector, limiting the system dead-time. With a much higher time resolution than systems currently in use in high temperature plasma physics experiments, this new detector has the versatility to be used in a variety of discharges with varying flux and the ability to study dynamics on both slow and fast time scales. This paper discusses the new fast x-ray detector recently installed on MST and the improved time resolution capabilities compared to the existing soft and hard x-ray diagnostics. In addition to the detector hardware, improvements to the detector calibration and x-ray pulse identification software, such as additional fitting parameters and a more sophisticated fitting routine are discussed. Finally, initial data taken in both high confinement and standard reversed-field pinch plasma discharges are compared.

  3. Public Safety Transmitter Towers, Civil Service emergency siren locations within Sedgwick County. Cover is maintained interactively by GIS staff. Primary attributes include siren ID, class, range, model, description, ownership, control, address, city, and GPS verification status. Publi, Published in 2008, 1:1200 (1in=100ft) scale, Sedgwick County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Public Safety Transmitter Towers dataset current as of 2008. Civil Service emergency siren locations within Sedgwick County. Cover is maintained interactively by GIS...

  4. PLSS Townships and Sections, Public Land Survey square-mile section boundaries within Sedgwick County. Layer was developed interactively by GIS staff. Primary attribues include section, township, and range identifiers, and x-y coordinates, and Public Safety (ortho) map numbers., Published in 2008, 1:1200 (1in=100ft) scale, Sedgwick County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — PLSS Townships and Sections dataset current as of 2008. Public Land Survey square-mile section boundaries within Sedgwick County. Layer was developed interactively...

  5. Cities, Towns and Villages, Public Land Survey township boundaries within Sedgwick County. Layer was developed interactively by GIS staff. Primary attribues include township, and range identifiers, and x-y coordinates., Published in 2008, 1:1200 (1in=100ft) scale, Sedgwick County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Cities, Towns and Villages dataset current as of 2008. Public Land Survey township boundaries within Sedgwick County. Layer was developed interactively by GIS staff....

  6. Parking Lot Runoff Quality and Treatment Efficiency of a Stormwater-Filtration Device, Madison, Wisconsin, 2005-07

    Science.gov (United States)

    Horwatich, Judy A.; Bannerman, Roger T.

    2010-01-01

    To evaluate the treatment efficiency of a stormwater-filtration device (SFD) for potential use at Wisconsin Department of Transportation (WisDOT) park-and-ride facilities, a SFD was installed at an employee parking lot in downtown Madison, Wisconsin. This type of parking lot was chosen for the test site because the constituent concentrations and particle-size distributions (PSDs) were expected to be similar to those of a typical park-and-ride lot operated by WisDOT. The objective of this particular installation was to reduce loads of total suspended solids (TSS) in stormwater runoff to Lake Monona. This study also was designed to provide a range of treatment efficiencies expected for a SFD. Samples from the inlet and outlet were analyzed for 33 organic and inorganic constituents, including 18 polycyclic aromatic hydrocarbons (PAHs). Samples were also analyzed for physical properties, including PSD. Water-quality samples were collected for 51 runoff events from November 2005 to August 2007. Samples from all runoff events were analyzed for concentrations of suspended sediment (SS). Samples from 31 runoff events were analyzed for 15 constituents, samples from 15 runoff events were analyzed for PAHs, and samples from 36 events were analyzed for PSD. The treatment efficiency of the SFD was calculated using the summation of loads (SOL) and the efficiency ratio methods. Constituents for which the concentrations and (or) loads were decreased by the SFD include TSS, SS, volatile suspended solids, total phosphorous (TP), total copper, total zinc, and PAHs. The efficiency ratios for these constituents are 45, 37, 38, 55, 22, 5, and 46 percent, respectively. The SOLs for these constituents are 32, 37, 28, 36, 23, 8, and 48 percent, respectively. The SOL for chloride was -21 and the efficiency ratio was -18. Six chemical constituents or properties-dissolved phosphorus, chemical oxygen demand, dissolved zinc, total dissolved solids, dissolved chemical oxygen demand, and

  7. Allegheny County Municipal Boundaries

    Data.gov (United States)

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

  8. Allegheny County 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...

  9. 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...

  10. 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...

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

    Science.gov (United States)

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

  12. Reproductive ecology, spawning behavior, and juvenile distribution of Mountain Whitefish in the Madison River, Montana

    Science.gov (United States)

    Boyer, Jan K.; Guy, Christopher S.; Webb, Molly A. H.; Horton, Travis B.; McMahon, Thomas E.

    2017-01-01

    Mountain Whitefish Prosopium williamsoni were historically common throughout much of the U.S. Intermountain West. However, within the last decade Mountain Whitefish have exhibited population-level declines in some rivers. In the Madison River, Montana, anecdotal evidence indicates Mountain Whitefish abundance has declined and the population is skewed toward larger individuals, which is typically symptomatic of recruitment problems. Describing reproductive development, spawning behavior, and juvenile distribution will form a foundation for investigating mechanisms influencing recruitment. We collected otoliths and gonadal samples from fish of all size-classes to characterize fecundity, age at maturity, and spawning periodicity. We implanted radio tags in mature Mountain Whitefish and relocated tagged fish in autumn 2012–2014. Timing of spawning was determined from spawning status of captured females and from density of eggs collected on egg mats. In spring 2014, we seined backwater and channel sites to describe age-0 whitefish distribution. Mountain Whitefish were highly fecund (18,454 eggs/kg body weight) annual spawners, and age at 50% maturity was 2.0 years for males and 2.6 years for females. In 2013 and 2014, spawning occurred between the third week of October and first week of November. During spawning, spawning adults and collected embryos were concentrated in the downstream 26 km of the study site, a reach characterized by a complex, braided channel. This reach had the highest CPUE of age-0 Mountain Whitefish, and the percentage of spawning adults in the 25 km upstream from a sampling site was positively associated with juvenile CPUE. Within this reach, age-0 Mountain Whitefish were associated with silt-laden backwater and eddy habitats. Future investigations on mechanisms influencing recruitment should be focused on the embryological phase and age-0 fish.

  13. Annual Gaseous Electronics Conference (39th) Held in Madison, Wisconsin on 7-10 October 1986. Program and Abstracts.

    Science.gov (United States)

    1986-01-01

    DEPARTMENT MIDDLETON WI 53562 133 CULLER HALL 608-231-6959 OXFORD OH 45056 513-523-3286 ’I,. . * ,.. , . €: ,N, - * ,* 10/10/86 PAGE 12 UWEX - WISCONSIN...HAI MARCUM, DOUG JILA MIAMI UNIVERSITY UNIV.OF COLORADO 133 CULLER HALL. PHYSICS BOX 440 OXFORD OH 45056 BOULDER CO 80309 0440 513-529-3286 303-492...UNIVERSITY P.O. BOX 12211 R.T.PK NC 27709 919-549-0641 SOMMERER, TIM STORER, JONATHAN UNIV.OF WISCONSIN 3M COMPANY DEPT.OF PHYSICS 201-IE-17 MADISON WI 53715

  14. Dairy sheep production research at the University of Wisconsin-Madison, USA - a review.

    Science.gov (United States)

    Thomas, David L; Berger, Yves M; McKusick, Brett C; Mikolayunas, Claire M

    2014-01-01

    Commercial milking of sheep is a new agricultural industry in the United States starting approximately 30 yr ago. The industry is still small, but it is growing. The majority of the sheep milk is used in the production of specialty cheeses. The United States is the major importer of sheep milk cheeses with 50 to 60% of annual world exports coming to the United States during the past 20 yr. Therefore, there is considerable growth potential for the industry in the United States. The only dairy sheep research flock in North America is located at the Spooner Agricultural Research Station of the University of Wisconsin-Madison. The research program started in 1993 and has been multifaceted; dealing with several areas important to commercial dairy sheep farmers. The East Friesian and Lacaune dairy breeds were compared and introduced to the industry through the research program. Both dairy breeds produced significantly more milk than traditional meat-wool breeds found in the U.S., but the two breeds differed in their production traits. East Friesian-cross ewes produced more lambs and slightly more milk than Lacaune-cross ewes whereas Lacaune-cross ewes produced milk with a higher percentage of fat and protein than East Friesian-cross ewes. Lactation physiology studies have shown that ewes with active corpora lutea have increased milk yields, oxytocin release during milking is required to obtain normal fat percentages in the milk, large udder cisterns of dairy ewes can allow for increased milking intervals, and short daylengths during late pregnancy results in increased milk yield. In the nutrition area, legume-grass pastures and forages with a higher percentage of legume will result in increased milk production. Grazing ewes respond to additional supplementation with increased milk yield, but it is important to match the supplement to the quality of the grazing. Ewes on high quality legume-grass pastures that are high in rumen degradable protein respond with increased

  15. Dairy sheep production research at the University of Wisconsin-Madison, USA – a review

    Science.gov (United States)

    2014-01-01

    Commercial milking of sheep is a new agricultural industry in the United States starting approximately 30 yr ago. The industry is still small, but it is growing. The majority of the sheep milk is used in the production of specialty cheeses. The United States is the major importer of sheep milk cheeses with 50 to 60% of annual world exports coming to the United States during the past 20 yr. Therefore, there is considerable growth potential for the industry in the United States. The only dairy sheep research flock in North America is located at the Spooner Agricultural Research Station of the University of Wisconsin-Madison. The research program started in 1993 and has been multifaceted; dealing with several areas important to commercial dairy sheep farmers. The East Friesian and Lacaune dairy breeds were compared and introduced to the industry through the research program. Both dairy breeds produced significantly more milk than traditional meat-wool breeds found in the U.S., but the two breeds differed in their production traits. East Friesian-cross ewes produced more lambs and slightly more milk than Lacaune-cross ewes whereas Lacaune-cross ewes produced milk with a higher percentage of fat and protein than East Friesian-cross ewes. Lactation physiology studies have shown that ewes with active corpora lutea have increased milk yields, oxytocin release during milking is required to obtain normal fat percentages in the milk, large udder cisterns of dairy ewes can allow for increased milking intervals, and short daylengths during late pregnancy results in increased milk yield. In the nutrition area, legume-grass pastures and forages with a higher percentage of legume will result in increased milk production. Grazing ewes respond to additional supplementation with increased milk yield, but it is important to match the supplement to the quality of the grazing. Ewes on high quality legume-grass pastures that are high in rumen degradable protein respond with increased

  16. Electron temperature structures associated with magnetic tearing modes in the Madison Symmetric Torus

    Science.gov (United States)

    Stephens, Hillary Dianne

    Tearing mode induced magnetic islands have a significant impact on the thermal characteristics of magnetically confined plasmas such as those in the reversed-field-pinch. Using a state-of-the-art Thomson scattering (TS) diagnostic, electron temperature fluctuations correlated with magnetic tearing modes have been observed on the Madison Symmetric Torus reversed-field-pinch. The TS diagnostic consists of two independently triggerable Nd:YAG lasers that can each pulse up to 15 times each plasma discharge and 21 General Atomics polchromators equipped with avalanche photodiode modules. Detailed calibrations focusing on accuracy, ease of use and repeatability and in-situ measurements have been performed on the system. Electron temperature (Te) profiles are acquired at 25 kHz with 2 cm or less resolution along the minor radius, sufficient to measure the effect of an island on the profile as the island rotates by the measurement point. Bayesian data analysis techniques are developed and used to detect fluctuations over an ensemble of shots. Four cases are studied; standard plasmas in quiescent periods, through sawteeth, through core reconnection events and in plasmas where the tearing mode activity is decreased. With a spectrum of unstable tearing modes, remnant islands that tend to flatten the temperature profile are present in the core between sawtooth-like reconnection events. This flattening is characteristic of rapid parallel heat conduction along helical magnetic field lines. The spatial structure of the temperature fluctuations show that the location of the rational surface of the m/n = 1/6 tearing mode is significantly further in than equilibrium suggestions predict. The fluctuations also provide a measurement of the remnant island width which is significantly smaller than the predicted full island width. These correlated fluctuations disappear during both global and core reconnection events. In striking contrast to temperature flattening, a temperature gradient

  17. Preliminary digital model of ground-water flow in the Madison Group, Powder River Basin and adjacent areas, Wyoming, Montana, South Dakota, North Dakota, and Nebraska

    Science.gov (United States)

    Konikow, Leonard F.

    1976-01-01

    A digital simulation model was used to analyze regional ground-water flow in the Madison Group aquifer in the Powder River Basin in Montana and Wyoming and adjacent areas. Most recharge to the aquifer originates in or near the outcrop areas of the Madison in the Bighorn Mountains and Black Hills, and most discharge occurs through springs and wells. Flow through the aquifer in the modeled areas was approximately 200 cubic feet per second. The aquifer can probably sustain increased ground-water withdrawals of up to several tens of cubic feet per second, but these withdrawals probably would significantly lower the potentiometric surface in the Madison aquifer in a large part of the basin. (Woodard-USGS)

  18. Modeling the potential effects of climate change on water temperature downstream of a shallow reservoir, lower Madison River, MT [USA

    Energy Technology Data Exchange (ETDEWEB)

    Gooseff, M.N. [Department of Geology and Geological Engineering, Colorado School of Mines, Golden, CO, 80401 (United States); Strzepek, K. [Department of Civil, Environmental, and Architectural Engineering, University of Colorado, Boulder, CO (United States); Chapra, S.C. [Department of Civil and Environmental Engineering, Tufts University, Medford, MA (United States)

    2005-02-01

    A numerical stream temperature model that accounts for kinematic wave flow routing, and heat exchange fluxes between stream water and the atmosphere, and stream water and the stream bed is developed and calibrated to a data-set from the Lower Madison River, Montana, USA. Future climate scenarios were applied to the model through changes to the atmospheric input data based on air temperature and solar radiation output from four General Circulation Models (GCM) for the region under atmospheric CO2 concentration doubling. The purpose of this study was to quantify potential climate change impacts on water temperature for the Lower Madison River, and to assess possible impacts to aquatic ecosystems. Because water temperature is a critical component of fish habitat, this information could be of use in future planning operations of current reservoirs. We applied air temperature changes to diurnal temperatures, daytime temperatures only, and nighttime temperatures only, to assess the impacts of variable potential warming trends. The results suggest that, given the potential climatic changes, the aquatic ecosystem downstream of Ennis Lake will experience higher water temperatures, possibly leading to increased stress on fish populations.Daytime warming produced the largest increases in downstream water temperature.

  19. A Critical Fast Ion Beta in the Madison Symmetric Torus Reversed Field Pinch

    Science.gov (United States)

    Capecchi, William J.

    The first fast-ion profile measurements have been made in a reversed-field pinch (RFP) plasma. A large population of fast-ions are deposited in the core of the Madison Symmetric Torus (MST) through use of a 1 MW neutral beam injector (NBI) giving rise to a variety of beam-driven instabilities. One such mode, the energetic-particle mode (EPM) has been shown to reduce fast-ion content in MST, evident through drops in signal levels of the advanced neutral particle analyzer (ANPA). EPMs in MST appear as bursts of magnetic fluctuations at a lab frequency of ˜100 kHz reaching peak amplitude and decaying away within 100 microseconds. A burst ensemble of the neutron data does not reveal a drop in neutron emission across a burst, implying the population of fast-ions transported by a burst constitute a small fraction of the total. The burst may also pitch-angle scatter out of the ANPA phase space or be transported to mid-radius where charge-exchange with the background neutrals or fast-ion orbit stochasticity may reduce fast-ion confinement. Data gathered from the expanded neutron diagnostic suite including a new collimated neutron detector (CiNDe) was used to reconstruct the fast-ion profile in MST and measure critical fast-ion beta quantities. Measurements were made in plasma conditions with varying magnetic field strength in order to investigate the interplay between the energetic particle (EP) drive and Alfven continuum damping. The measured values of the core fast-ion beta (7.5% (1.2%) in 300 (500) kA plasmas) are reduced from classical predictions (TRANSP predicts up to 10% core value) due to EPM activity. The frequency, magnitude, and rate of occurrence of the bursts depends on the tearing mode amplitude, Alfven continuum damping rate, fast-ion profile shape, and resonant orbit dynamics. Marginal stability was reached in both moderate- (300 kA) and high- (500 kA) current discharges, marked by sustained EPM activity and a saturated global neutron signal during NBI

  20. Allegheny County Smoking Rates

    Data.gov (United States)

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

  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 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...

  3. Allegheny County Obesity Rates

    Data.gov (United States)

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

  4. Allegheny County Hypertension Hospitalization

    Data.gov (United States)

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

  5. Allegheny County Addressing Landmarks

    Data.gov (United States)

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

  6. Allegheny County Hospitals

    Data.gov (United States)

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

  7. Allegheny County Asbestos Permits

    Data.gov (United States)

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

  8. Allegheny County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Allegheny County from 2004 to 2016. Fields include injury severity,...

  9. 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,...

  10. 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...

  11. Allegheny County Parcel Boundaries

    Data.gov (United States)

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

  12. Allegheny County Parks Outlines

    Data.gov (United States)

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

  13. 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,...

  14. Allegheny County Depression Medication

    Data.gov (United States)

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

  15. Allegheny County Anxiety Medication

    Data.gov (United States)

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

  16. Allegheny County Tobacco Vendors

    Data.gov (United States)

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

  17. 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...

  18. 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.

  19. 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,...

  20. 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,...

  1. 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...

  2. 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...

  3. 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...

  4. County Population Vulnerability

    Data.gov (United States)

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

  5. 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...

  6. 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,...

  7. Solute and geothermal flux monitoring using electrical conductivity in the Madison, Firehole, and Gibbon Rivers, Yellowstone National Park

    Science.gov (United States)

    McCleskey, R. Blaine; Clor, Laura; Lowenstern, Jacob B.; Evans, William C.; Nordstrom, D. Kirk; Heasler, Henry; Huebner, Mark

    2012-01-01

    The thermal output from the Yellowstone magma chamber can be estimated from the Cl flux in the major rivers in Yellowstone National Park; and by utilizing continuous discharge and electrical conductivity measurements the Cl flux can be calculated. The relationship between electrical conductivity and concentrations of Cl and other geothermal solutes (Na, SO4, F, HCO3, SiO2, K, Li, B, and As) was quantified at monitoring sites along the Madison, Gibbon, and Firehole Rivers, which receive discharge from some of the largest and most active geothermal areas in Yellowstone. Except for some trace elements, most solutes behave conservatively and the ratios between geothermal solute concentrations are constant in the Madison, Gibbon, and Firehole Rivers. Hence, dissolved concentrations of Cl, Na, SO4, F, HCO3, SiO2, K, Li, Ca, B and As correlate well with conductivity (R2 > 0.9 for most solutes) and most exhibit linear trends. The 2011 flux for Cl, SO4, F and HCO3 determined using automated conductivity sensors and discharge data from nearby USGS gaging stations is in good agreement with those of previous years (1983–1994 and 1997–2008) at each of the monitoring sites. Continuous conductivity monitoring provides a cost- and labor-effective alternative to existing protocols whereby flux is estimated through manual collection of numerous water samples and subsequent chemical analysis. Electrical conductivity data also yield insights into a variety of topics of research interest at Yellowstone and elsewhere: (1) Geyser eruptions are easily identified and the solute flux quantified with conductivity data. (2) Short-term heavy rain events can produce conductivity anomalies due to dissolution of efflorescent salts that are temporarily trapped in and around geyser basins during low-flow periods. During a major rain event in October 2010, 180,000 kg of additional solute was measured in the Madison River. (3) The output of thermal water from the Gibbon River appears to have

  8. Proceedings, sixth international symposium : moisture and creep effects on paper, board and containers: Madison, Wisconsin, USA, 14-15 July 2009

    Science.gov (United States)

    John M. Considine; Sally A. Ralph

    2011-01-01

    The USDA Forest Products Laboratory sponsored the 6th International Symposium: Moisture and Creep Effects on Paper, Board and Containers at the Monona Terrace Convention Center, Madison, WI, USA on 14-15 July 2009. Attendees heard 20 technical presentations; presenters were from seven different countries and three continents. Session topics included Corrugated...

  9. Proceedings of a workshop on bark beetle genetics: current status of research. Workshop on Bark Beetle Genetics; 1998 July 17-18; Madison, WI.

    Science.gov (United States)

    Jane L. Hayes; Kenneth F. Raffa

    1999-01-01

    This proceedings contains contributions from each author or group of authors who presented their current research at the bark beetle genetics workshop held 17-18 July 1998 on the campus of the University of Wisconsin in Madison, Wisconsin, USA. This was the second meeting on this subject; the first was held in 1992. The subject of bark beetle genetics is of growing,...

  10. Stimulating utilities to promote energy efficiency: Process evaluation of Madison Gas and Electric's Competition Pilot Program

    Energy Technology Data Exchange (ETDEWEB)

    Vine, E.; De Buen, O.; Goldfman, C.

    1990-12-01

    This report describes the process evaluation of the design and implementation of the Energy Conservation Competition Pilot (hereafter referred to as the Competition), ordered by the Public Service Commission of Wisconsin (PSCW) with a conceptual framework defined by PSCW staff for the Madison Gas and Electric (MGE) Company. This process evaluation documents the history of the Competition, describing the marketing strategies adopted by MGE and its competitors, customer service and satisfaction, administrative issues, the distribution of installed measures, free riders, and the impact of the Competition on MGE, its competitors, and other Wisconsin utilities. We also suggest recommendations for a future Competition, compare the Competition with other approaches that public utility commissions (PUCs) have used to motivate utilities to promote energy efficiency, and discuss its transferability to other utilities. 48 refs., 8 figs., 40 tabs.

  11. Identification and mitigation of stray laser light in the Thomson scattering system on the Madison Symmetric Torus (MST).

    Science.gov (United States)

    Jacobson, C M; Borchardt, M T; Den Hartog, D J; Falkowski, A F; Morton, L A; Thomas, M A

    2016-11-01

    The Thomson scattering diagnostic on the Madison Symmetric Torus (MST) records excessive levels of stray Nd:YAG laser light. Stray light saturates the 1064 nm spectral channel in all polychromators, which prevents absolute electron density measurements via Rayleigh scattering calibration. Furthermore, stray light contaminates adjacent spectral channels for r/a ≥ 0.75, which renders the diagnostic unable to make electron temperature measurements at these radii. In situ measurements of stray light levels during a vacuum vessel vent are used to identify stray light sources and strategies for reduction of stray light levels. Numerical modeling using Zemax OpticStudio supports these measurements. The model of the vacuum vessel and diagnostic includes synthetic collection optics to enable direct comparison of measured and simulated stray light levels. Modeling produces qualitatively similar stray light distributions to MST measurements, and quantifies the mitigation effects of stray light mitigation strategies prior to implementation.

  12. Identification and mitigation of stray laser light in the Thomson scattering system on the Madison Symmetric Torus (MST)

    Energy Technology Data Exchange (ETDEWEB)

    Jacobson, C. M., E-mail: cjacobson@wisc.edu; Borchardt, M. T.; Den Hartog, D. J.; Falkowski, A. F.; Morton, L. A.; Thomas, M. A. [Department of Physics, University of Wisconsin–Madison, 1150 University Avenue, Madison, Wisconsin 53706 (United States)

    2016-11-15

    The Thomson scattering diagnostic on the Madison Symmetric Torus (MST) records excessive levels of stray Nd:YAG laser light. Stray light saturates the 1064 nm spectral channel in all polychromators, which prevents absolute electron density measurements via Rayleigh scattering calibration. Furthermore, stray light contaminates adjacent spectral channels for r/a ≥ 0.75, which renders the diagnostic unable to make electron temperature measurements at these radii. In situ measurements of stray light levels during a vacuum vessel vent are used to identify stray light sources and strategies for reduction of stray light levels. Numerical modeling using Zemax OpticStudio supports these measurements. The model of the vacuum vessel and diagnostic includes synthetic collection optics to enable direct comparison of measured and simulated stray light levels. Modeling produces qualitatively similar stray light distributions to MST measurements, and quantifies the mitigation effects of stray light mitigation strategies prior to implementation.

  13. Identification and mitigation of stray laser light in the Thomson scattering system on the Madison Symmetric Torus (MST)

    Science.gov (United States)

    Jacobson, C. M.; Borchardt, M. T.; Den Hartog, D. J.; Falkowski, A. F.; Morton, L. A.; Thomas, M. A.

    2016-11-01

    The Thomson scattering diagnostic on the Madison Symmetric Torus (MST) records excessive levels of stray Nd:YAG laser light. Stray light saturates the 1064 nm spectral channel in all polychromators, which prevents absolute electron density measurements via Rayleigh scattering calibration. Furthermore, stray light contaminates adjacent spectral channels for r/a ≥ 0.75, which renders the diagnostic unable to make electron temperature measurements at these radii. In situ measurements of stray light levels during a vacuum vessel vent are used to identify stray light sources and strategies for reduction of stray light levels. Numerical modeling using Zemax OpticStudio supports these measurements. The model of the vacuum vessel and diagnostic includes synthetic collection optics to enable direct comparison of measured and simulated stray light levels. Modeling produces qualitatively similar stray light distributions to MST measurements, and quantifies the mitigation effects of stray light mitigation strategies prior to implementation.

  14. “DIVIDING SOVEREIGNTY”: FEDERALISMO Y REPUBLICANISMO EN LA TEORÍA POLÍTICA DE JAMES MADISON

    Directory of Open Access Journals (Sweden)

    Ramón Máiz

    2014-04-01

    Full Text Available This paper explores the inner theoretical relationship between republicanism and federalism in the political thought of James Madison. In fact federalism is conceived from his point of view as a cultural and institutional device to build a true democratic government in a modern big country as the United States of America. This “happy combination” of republicanism and federalism, goes hand by hand with a design of the Union, not as a “consolidated” and centralized one, as Hamilton defended; but as quite distinctive system “partly national, partly federal”, where the states’ rights were protected in their substantive self-government and in their participation with free own voice in the general shared-government of the Union. Moreover, the political and theoretical differences between Madison and Hamilton, were notorious not only respecting the whole conception of the American State, but also reach decisively another field: what kind of Nation “America” was to be. This principled and deep differences about the nature of the American democracy (based in the “vigor of government” or in the principles of republican revolution, the model of American federalism (consolidated and eroding the state’s powers or decentralized based on “dividing sovereignty” and the nature of the American Nation (urban and industrialist “Great commercial society” or rural and commercial republic of the republics, gave birth to the creation of the Republican Party (with Thomas Jefferson –The Democratic Party after Jackson– and the first American party system. consolidation.

  15. Chapter 4: Managing chaparral in Yavapai County

    Science.gov (United States)

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

    1999-01-01

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

  16. 2005 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Yakima County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Terrapoint collected Light Detection and Ranging (LiDAR) data to complete the 2005 project for Yakima County. This project has partial coverage of Yakima County,...

  17. 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)...

  18. Repair, Evaluation, Maintenance, and Rehabilitation Research Program: Redevelopment of Relief Wells, Upper Wood River Drainage and Levee District, Madison County, Illinois

    Science.gov (United States)

    1993-11-01

    Figure C6. Bacterial contribution to sediment biomass in sediment 3 ft from the well ..................... C16 Figure C7. Eucaryotic contribution to...sediment biomass ........... C17 Figure C8. Eucaryotic contribution to sediment biomass at 27 and 80 ft from pumped well .................. C18 Figure...hydroxide around the cells , and the metabolic production by some organisms of extra- cellular excretions which serve as additional sites of ferric

  19. A Preliminary Assessment of the Cultural Resources within the Millican Project, Navasota River Basin, Brazos, Grimes, Leon, Madison and Robertson Counties, Texas. Reports of Investigations, Number 19.

    Science.gov (United States)

    1982-02-01

    surrounding the Navasota River include that of Nicolas de LaFora between 1766 and 1768 (Kinnaird 1958). From the Old San Antonio Road, de LaFora noted...Area Streams). As a minimum , middle Archaic and Neoarchaic occupations are suggested. The historic component of site 41RT133 is a bridge across Duck...except for the damsite, follows. 4 0 The conservation pool is the minimum body of water which should be maintained and will, except at times of

  20. Evapotranspiration Rate Measurements of Vegetation Typical of Ground-Water Discharge Areas in the Basin and Range Carbonate-Rock Aquifer System, White Pine County, Nevada, and Adjacent Areas in Nevada and Utah, September 2005-August 2006

    Science.gov (United States)

    Moreo, Michael T.; Laczniak, Randell J.; Stannard, David I.

    2007-01-01

    Evapotranspiration was measured at six eddy-correlation sites for a 1-year period between September 1, 2005, and August 31, 2006. Five sites were in phreatophytic shrubland dominated by greasewood, and one site was in a grassland meadow. The measured annual evapotranspiration ranged from 10.02 to 12.77 inches at the shrubland sites and 26.94 inches at the grassland site. Evapotranspiration rates correlated to measured vegetation densities and to satellite-derived vegetation indexes. Evapotranspiration rates were greater at sites with denser vegetation. The primary water source supporting evapotranspiration was water derived from local precipitation at the shrubland sites, and ground water at the grassland site. Measured precipitation, ranging from 6.21 to 11.41 inches, was within 20 percent of the computed long-term annual mean. The amount of ground water consumed by phreatophytes depends primarily on local precipitation and vegetation density. The ground-water contribution to local evapotranspiration ranged from 6 to 38 percent of total evapotranspiration at the shrubland sites, and 70 percent of total evapotranspiration at the grassland site. Average depth to water ranged from 7.2 to 32.4 feet below land surface at the shrubland sites, and 3.9 feet at the grassland site. Water levels declined throughout the growing season and recovered during the non-growing season. Diurnal water-level fluctuations associated with evapotranspiration were evident at some sites but not at others.

  1. 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...

  2. Allegheny County Supermarkets & Convenience Stores

    Data.gov (United States)

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

  3. 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...

  4. Georeferenced TIFF image displaying 1 meter resolution backscatter data collected by the U.S. Geological Survey in the Madison Swanson Marine Protected Area, Gulf of Mexico in 2000 (UTM Zone 16N, WGS 84, GeoTIFF image)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) mapped approximately 22 square miles of the Madison Swanson Marine Protected Area (MPA) and Steamboat Lumps MPA, which are located...

  5. Sidescan sonar polyline shapefile of trackline navigation files collected by the U.S. Geological Survey in the Madison Swanson and Steamboat Lumps Marine Protected Areas, Gulf of Mexico in 2000 (Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) mapped approximately 22 square miles of the Madison Swanson Marine Protected Area (MPA) and Steamboat Lumps MPA, which are located...

  6. Sidescan Sonar point shapefile and ASCII navigation files collected by the U.S. Geological Survey in the Madison Swanson and Steamboat Lumps Marine Protected Areas, Gulf of Mexico in 2000 (Geographic, WGS 84)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The U.S. Geological Survey (USGS) mapped approximately 22 square miles of the Madison Swanson Marine Protected Area (MPA) and Steamboat Lumps MPA, which are located...

  7. 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...

  8. LANDSLIDES IN SUCEAVA COUNTY

    Directory of Open Access Journals (Sweden)

    Dan Zarojanu

    2017-07-01

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

  9. Allegheny County Block Areas

    Data.gov (United States)

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

  10. A multi-channel capacitive probe for electrostatic fluctuation measurement in the Madison Symmetric Torus reversed field pinch.

    Science.gov (United States)

    Tan, Mingsheng; Stone, Douglas R; Triana, Joseph C; Almagri, Abdulgader F; Fiksel, Gennady; Ding, Weixing; Sarff, John S; McCollam, Karsten J; Li, Hong; Liu, Wandong

    2017-02-01

    A 40-channel capacitive probe has been developed to measure the electrostatic fluctuations associated with the tearing modes deep into Madison Symmetric Torus (MST) reversed field pinch plasma. The capacitive probe measures the ac component of the plasma potential via the voltage induced on stainless steel electrodes capacitively coupled with the plasma through a thin annular layer of boron nitride (BN) dielectric (also serves as the particle shield). When bombarded by the plasma electrons, BN provides a sufficiently large secondary electron emission for the induced voltage to be very close to the plasma potential. The probe consists of four stalks each with ten cylindrical capacitors that are radially separated by 1.5 cm. The four stalks are arranged on a 1.3 cm square grid so that at each radial position, there are four electrodes forming a square grid. Every two adjacent radial sets of four electrodes form a cube. The fluctuating electric field can be calculated by the gradient of the plasma potential fluctuations at the eight corners of the cube. The probe can be inserted up to 15 cm (r/a = 0.7) into the plasma. The capacitive probe has a frequency bandwidth from 13 Hz to 100 kHz, amplifier-circuit limit, sufficient for studying the tearing modes (5-30 kHz) in the MST reversed-field pinch.

  11. Water resources of King County, Washington

    Science.gov (United States)

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

    1968-01-01

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

  12. 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.

  13. 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,...

  14. Allegheny County Vacant Properties

    Data.gov (United States)

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

  15. Durham County Demographic Profile

    Data.gov (United States)

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

  16. Allegheny County Housing Tenure

    Data.gov (United States)

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

  17. 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...

  18. Allegheny County Older Housing

    Data.gov (United States)

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

  19. 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....

  20. 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,...

  1. Precipitation and Runoff Simulations of the Carson Range and Pine Nut Mountains, and Updated Estimates of Ground-Water Inflow and the Ground-Water Budgets for Basin-Fill Aquifers of Carson Valley, Douglas County, Nevada, and Alpine County, California

    Science.gov (United States)

    Jeton, Anne E.; Maurer, Douglas K.

    2007-01-01

    Recent estimates of ground-water inflow to the basin-fill aquifers of Carson Valley, Nevada, and California, from the adjacent Carson Range and Pine Nut Mountains ranged from 22,000 to 40,000 acre-feet per year using water-yield and chloride-balance methods. In this study, watershed models were developed for watersheds with perennial streams and for watersheds with ephemeral streams in the Carson Range and Pine Nut Mountains to provide an independent estimate of ground-water inflow. This report documents the development and calibration of the watershed models, presents model results, compares the results with recent estimates of ground-water inflow to the basin-fill aquifers of Carson Valley, and presents updated estimates of the ground-water budget for basin-fill aquifers of Carson Valley. The model used for the study was the Precipitation-Runoff Modeling System, a physically based, distributed-parameter model designed to simulate precipitation and snowmelt runoff as well as snowpack accumulation and snowmelt processes. Geographic Information System software was used to manage spatial data, characterize model drainages, and to develop Hydrologic Response Units. Models were developed for * Two watersheds with gaged perennial streams in the Carson Range and two watersheds with gaged perennial streams in the Pine Nut Mountains using measured daily mean runoff, * Ten watersheds with ungaged perennial streams using estimated daily mean runoff, * Ten watershed with ungaged ephemeral streams in the Carson Range, and * A large area of ephemeral runoff near the Pine Nut Mountains. Models developed for the gaged watersheds were used as index models to guide the calibration of models for ungaged watersheds. Model calibration was constrained by daily mean runoff for 4 gaged watersheds and for 10 ungaged watersheds in the Carson Range estimated in a previous study. The models were further constrained by annual precipitation volumes estimated in a previous study to provide

  2. Building America Case Study: Optimized Slab-on-Grade Foundation Insulation Retrofits, Madison, Wisconsin

    Energy Technology Data Exchange (ETDEWEB)

    2016-05-01

    A more accurate assessment of SOG foundation insulation energy savings than traditionally possible is now feasible. This has been enabled by advances in whole building energy simulation with 3-dimensional foundation modelling integration at each time step together with an experimental measurement of the site energy savings of SOG foundation insulation. Ten SOG insulation strategies were evaluated on a test building to identify an optimum retrofit insulation strategy in a zone 6 climate (Minneapolis, MN). The optimum insulation strategy in terms of energy savings and cost effectiveness consisted of two components: (a) R-20 XPS insulation above grade, and, (b) R-20 insulation at grade (comprising an outer layer of R-10 insulation and an interior layer of R-12 poured polyurethane insulation) tapering to R-10 XPS insulation at half the below-grade wall height (the lower half of the stem wall was uninsulated). The optimum insulation strategy was applied to single and multi-family residential buildings in climate zone 4 - 7. The highest site energy savings of 5% was realized for a single family home in Duluth, MN, and the lowest savings of 1.4 percent for a 4-unit townhouse in Richmond, VA. SOG foundation insulation retrofit simple paybacks ranged from 18 to 47 years. There are other benefits of SOG foundation insulation resulting from the increase in the slab surface temperatures. These include increased occupant thermal comfort, and a decrease in slab surface condensation particularly around the slab perimeter.

  3. Environmental Impact Analysis Process, Groom Mountain Range, Lincoln County, Nevada

    Science.gov (United States)

    1985-10-01

    occasional 6) T6S, R56E, Sec. 19, 7800 feet, few Erigeron ovinus occurs in crevices, with shallow, coarse soil on lime - stone, typically at the base...Phrynosoma phatyrhinos) X X X Sagebrush lizard (Sceloperous graciosus) X X X Western fence lizard (Sceloperous occidentalis) X X X X Side blotched lizard

  4. Environmental Impact Statement. Groom Mountain Range, Lincoln County, Nevada

    Science.gov (United States)

    1986-06-01

    excess horses are being removed from the public lands. After that time, maintenance removals will be such that the Palomino Valley Horse Corrals...annual harvest. Survey and forage data indicate that wild horses and other wildlife species, such as antelope, compete for the limited resources...available resulting in domination by wild horses and the exclusion of other wildlife species. The Air Force does not believe this to be a viable mitigation

  5. Low energy weak interactions and decays. [Partial summary of presentations at XXth International Conf. on High Energy Physics, Madison, Wisc. , July 17-23, 1980

    Energy Technology Data Exchange (ETDEWEB)

    Trilling, G.H.

    1980-09-01

    Results presented during sessions B5 to 7 at the XXth International Conference on High Energy Physics (University of Wisconsin, Madison, July 17 to 23, 1980) are discussed. Essentially all the material presented is summarized. The sessions covered various aspects of low-energy weak interactions. The following topics are addressed: CP-invariance violation, high-statistics study of ..lambda.. beta decay, parity violation in proton-nucleus scattering at 6 GeV/c, new results on the tau, charm particle decays (direct lifetime determinations, semileptonic branching ratios, comparison of semileptonic rate with theoretical expectations, further study of charm meson decays, F decays), and neutrino oscillations. 6 figures, 9 tables. (RWR)

  6. Valencia County E-911 Roads

    Data.gov (United States)

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

  7. Allegheny County Employee Salaries 2016

    Data.gov (United States)

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

  8. 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...

  9. Allegheny County Land Use Areas

    Data.gov (United States)

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

  10. Allegheny County Mortgage Foreclosure Records

    Data.gov (United States)

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

  11. DOT Official County Highway Map

    Data.gov (United States)

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

  12. Allegheny County Property Sale Transactions

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains data on all Real Property parcels that have sold since 2013 in Allegheny County, PA. Before doing any market analysis on property sales, check...

  13. 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...

  14. Allegheny County Fast Food Establishments

    Data.gov (United States)

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

  15. Allegheny County Public Building Locations

    Data.gov (United States)

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

  16. 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...

  17. Providing engineering services to counties.

    Science.gov (United States)

    2008-09-01

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

  18. Allegheny County Park Rangers Outreach

    Data.gov (United States)

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

  19. Allegheny County Primary Care Access

    Data.gov (United States)

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

  20. Allegheny County Commercial Vehicle Inspections

    Data.gov (United States)

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

  1. Allegheny County Addressing Address Points

    Data.gov (United States)

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

  2. Allegheny County Addressing Street Centerlines

    Data.gov (United States)

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

  3. Allegheny County Summer Food Sites

    Data.gov (United States)

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

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. Allegheny County Poor Housing Conditions

    Data.gov (United States)

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

  9. Allegheny County Addressing Street Centerlines

    Data.gov (United States)

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

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

    Science.gov (United States)

    Kalesan, Bindu; Galea, Sandro

    2017-05-01

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

  11. Minnesota County Boundaries - lines

    Data.gov (United States)

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

  12. Minnesota County Boundaries

    Data.gov (United States)

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

  13. TIGER/Line Shapefile, 2013, county, Weld County, CO, Current Address Ranges Relationship File

    Data.gov (United States)

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

  14. TIGER/Line Shapefile, 2013, county, Pottawattamie County, IA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  15. TIGER/Line Shapefile, 2013, county, Westchester County, NY, Current Address Ranges Relationship File

    Data.gov (United States)

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

  16. TIGER/Line Shapefile, 2013, county, Butler County, KS, Current Address Ranges Relationship File

    Data.gov (United States)

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

  17. TIGER/Line Shapefile, 2013, county, Scotland County, MO, Current Address Ranges Relationship File

    Data.gov (United States)

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

  18. TIGER/Line Shapefile, 2013, county, Mineral County, NV, Current Address Ranges Relationship File

    Data.gov (United States)

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

  19. TIGER/Line Shapefile, 2013, county, Benton County, IN, Current Address Ranges Relationship File

    Data.gov (United States)

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

  20. TIGER/Line Shapefile, 2013, county, Sullivan County, PA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  1. TIGER/Line Shapefile, 2013, county, Colbert County, AL, Current Address Ranges Relationship File

    Data.gov (United States)

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

  2. TIGER/Line Shapefile, 2013, county, Ashland County, OH, Current Address Ranges Relationship File

    Data.gov (United States)

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

  3. TIGER/Line Shapefile, 2013, county, Iowa County, IA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  4. TIGER/Line Shapefile, 2013, county, Mitchell County, IA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  5. TIGER/Line Shapefile, 2013, county, Elbert County, GA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  6. TIGER/Line Shapefile, 2013, county, Mason County, KY, Current Address Ranges Relationship File

    Data.gov (United States)

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

  7. TIGER/Line Shapefile, 2013, county, Lincoln County, NV, Current Address Ranges Relationship File

    Data.gov (United States)

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

  8. TIGER/Line Shapefile, 2013, county, Clay County, MS, Current Address Ranges Relationship File

    Data.gov (United States)

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

  9. TIGER/Line Shapefile, 2013, county, Henry County, IN, Current Address Ranges Relationship File

    Data.gov (United States)

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

  10. TIGER/Line Shapefile, 2013, county, Chaves County, NM, Current Address Ranges Relationship File

    Data.gov (United States)

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

  11. TIGER/Line Shapefile, 2013, county, Lincoln County, WY, Current Address Ranges Relationship File

    Data.gov (United States)

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

  12. TIGER/Line Shapefile, 2013, county, Nantucket County, MA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  13. TIGER/Line Shapefile, 2013, county, Barton County, MO, Current Address Ranges Relationship File

    Data.gov (United States)

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

  14. TIGER/Line Shapefile, 2013, county, Miller County, GA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  15. TIGER/Line Shapefile, 2013, county, Blaine County, OK, Current Address Ranges Relationship File

    Data.gov (United States)

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

  16. TIGER/Line Shapefile, 2013, county, Stanton County, KS, Current Address Ranges Relationship File

    Data.gov (United States)

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

  17. TIGER/Line Shapefile, 2013, county, Letcher County, KY, Current Address Ranges Relationship File

    Data.gov (United States)

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

  18. TIGER/Line Shapefile, 2013, county, Gadsden County, FL, Current Address Ranges Relationship File

    Data.gov (United States)

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

  19. TIGER/Line Shapefile, 2013, county, Valley County, ID, Current Address Ranges Relationship File

    Data.gov (United States)

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

  20. TIGER/Line Shapefile, 2013, county, Ocean County, NJ, Current Address Ranges Relationship File

    Data.gov (United States)

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

  1. TIGER/Line Shapefile, 2013, county, Shoshone County, ID, Current Address Ranges Relationship File

    Data.gov (United States)

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

  2. TIGER/Line Shapefile, 2013, county, Fayette County, OH, Current Address Ranges Relationship File

    Data.gov (United States)

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

  3. TIGER/Line Shapefile, 2013, county, Moore County, TN, Current Address Ranges Relationship File

    Data.gov (United States)

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

  4. TIGER/Line Shapefile, 2013, county, Waupaca County, WI, Current Address Ranges Relationship File

    Data.gov (United States)

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

  5. TIGER/Line Shapefile, 2013, county, Greene County, VA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  6. TIGER/Line Shapefile, 2013, county, Stark County, IL, Current Address Ranges Relationship File

    Data.gov (United States)

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

  7. TIGER/Line Shapefile, 2013, county, Box Butte County, NE, Current Address Ranges Relationship File

    Data.gov (United States)

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

  8. TIGER/Line Shapefile, 2013, county, James City County, VA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  9. TIGER/Line Shapefile, 2013, county, Shelby County, IL, Current Address Ranges Relationship File

    Data.gov (United States)

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

  10. TIGER/Line Shapefile, 2013, county, Rutland County, VT, Current Address Ranges Relationship File

    Data.gov (United States)

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

  11. TIGER/Line Shapefile, 2013, county, Franklin County, FL, Current Address Ranges Relationship File

    Data.gov (United States)

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

  12. TIGER/Line Shapefile, 2013, county, Warren County, MS, Current Address Ranges Relationship File

    Data.gov (United States)

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

  13. TIGER/Line Shapefile, 2013, county, Overton County, TN, Current Address Ranges Relationship File

    Data.gov (United States)

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

  14. TIGER/Line Shapefile, 2013, county, Jackson County, CO, Current Address Ranges Relationship File

    Data.gov (United States)

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

  15. TIGER/Line Shapefile, 2013, county, Ballard County, KY, Current Address Ranges Relationship File

    Data.gov (United States)

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

  16. TIGER/Line Shapefile, 2013, county, Webster County, NE, Current Address Ranges Relationship File

    Data.gov (United States)

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

  17. TIGER/Line Shapefile, 2013, county, Appling County, GA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  18. TIGER/Line Shapefile, 2013, county, Randolph County, GA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  19. TIGER/Line Shapefile, 2013, county, Franklin County, PA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  20. TIGER/Line Shapefile, 2013, county, Lincoln County, ME, Current Address Ranges Relationship File

    Data.gov (United States)

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

  1. TIGER/Line Shapefile, 2013, county, Walker County, TX, Current Address Ranges Relationship File

    Data.gov (United States)

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

  2. TIGER/Line Shapefile, 2013, county, Crawford County, OH, Current Address Ranges Relationship File

    Data.gov (United States)

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

  3. TIGER/Line Shapefile, 2013, county, Lubbock County, TX, Current Address Ranges Relationship File

    Data.gov (United States)

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

  4. TIGER/Line Shapefile, 2013, county, Schuyler County, IL, Current Address Ranges Relationship File

    Data.gov (United States)

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

  5. TIGER/Line Shapefile, 2013, county, Goochland County, VA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  6. TIGER/Line Shapefile, 2013, county, Dutchess County, NY, Current Address Ranges Relationship File

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  8. TIGER/Line Shapefile, 2013, county, Minidoka County, ID, Current Address Ranges Relationship File

    Data.gov (United States)

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

  9. TIGER/Line Shapefile, 2013, county, Hardin County, TN, Current Address Ranges Relationship File

    Data.gov (United States)

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

  10. TIGER/Line Shapefile, 2013, county, Boone County, IN, Current Address Ranges Relationship File

    Data.gov (United States)

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

  11. TIGER/Line Shapefile, 2013, county, Clark County, NV, Current Address Ranges Relationship File

    Data.gov (United States)

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

  12. TIGER/Line Shapefile, 2013, county, Sheridan County, NE, Current Address Ranges Relationship File

    Data.gov (United States)

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

  13. TIGER/Line Shapefile, 2013, county, Marshall County, IL, Current Address Ranges Relationship File

    Data.gov (United States)

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

  14. TIGER/Line Shapefile, 2013, county, Houston County, MN, Current Address Ranges Relationship File

    Data.gov (United States)

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

  15. TIGER/Line Shapefile, 2013, county, Jackson County, OR, Current Address Ranges Relationship File

    Data.gov (United States)

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

  16. TIGER/Line Shapefile, 2013, county, Penobscot County, ME, Current Address Ranges Relationship File

    Data.gov (United States)

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

  17. TIGER/Line Shapefile, 2013, county, Knox County, TX, Current Address Ranges Relationship File

    Data.gov (United States)

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

  18. TIGER/Line Shapefile, 2013, county, Upshur County, TX, Current Address Ranges Relationship File

    Data.gov (United States)

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

  19. TIGER/Line Shapefile, 2013, county, Malheur County, OR, Current Address Ranges Relationship File

    Data.gov (United States)

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

  20. TIGER/Line Shapefile, 2013, county, Orange County, TX, Current Address Ranges Relationship File

    Data.gov (United States)

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

  1. TIGER/Line Shapefile, 2013, county, McDuffie County, GA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  2. TIGER/Line Shapefile, 2013, county, Lemhi County, ID, Current Address Ranges Relationship File

    Data.gov (United States)

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

  3. TIGER/Line Shapefile, 2013, county, Boone County, KY, Current Address Ranges Relationship File

    Data.gov (United States)

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

  4. TIGER/Line Shapefile, 2013, county, Christian County, IL, Current Address Ranges Relationship File

    Data.gov (United States)

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

  5. TIGER/Line Shapefile, 2013, county, Cabarrus County, NC, Current Address Ranges Relationship File

    Data.gov (United States)

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

  6. TIGER/Line Shapefile, 2013, county, Frontier County, NE, Current Address Ranges Relationship File

    Data.gov (United States)

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

  7. TIGER/Line Shapefile, 2013, county, Fremont County, IA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  8. TIGER/Line Shapefile, 2013, county, Buffalo County, WI, Current Address Ranges Relationship File

    Data.gov (United States)

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

  9. TIGER/Line Shapefile, 2013, county, Cleveland County, OK, Current Address Ranges Relationship File

    Data.gov (United States)

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

  10. TIGER/Line Shapefile, 2013, county, Irion County, TX, Current Address Ranges Relationship File

    Data.gov (United States)

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

  11. TIGER/Line Shapefile, 2013, county, Navajo County, AZ, Current Address Ranges Relationship File

    Data.gov (United States)

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

  12. TIGER/Line Shapefile, 2013, county, Berkeley County, SC, Current Address Ranges Relationship File

    Data.gov (United States)

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

  13. TIGER/Line Shapefile, 2013, county, Nye County, NV, Current Address Ranges Relationship File

    Data.gov (United States)

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

  14. TIGER/Line Shapefile, 2013, county, Hickory County, MO, Current Address Ranges Relationship File

    Data.gov (United States)

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

  15. TIGER/Line Shapefile, 2013, county, Pawnee County, NE, Current Address Ranges Relationship File

    Data.gov (United States)

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

  16. TIGER/Line Shapefile, 2013, county, Genesee County, MI, Current Address Ranges Relationship File

    Data.gov (United States)

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

  17. TIGER/Line Shapefile, 2013, county, Lafayette County, MS, Current Address Ranges Relationship File

    Data.gov (United States)

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

  18. TIGER/Line Shapefile, 2013, county, Martin County, KY, Current Address Ranges Relationship File

    Data.gov (United States)

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

  19. TIGER/Line Shapefile, 2013, county, Waukesha County, WI, Current Address Ranges Relationship File

    Data.gov (United States)

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

  20. TIGER/Line Shapefile, 2013, county, Clallam County, WA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  1. TIGER/Line Shapefile, 2013, county, Palm Beach County, FL, Current Address Ranges Relationship File

    Data.gov (United States)

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

  2. TIGER/Line Shapefile, 2013, county, Lexington County, SC, Current Address Ranges Relationship File

    Data.gov (United States)

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

  3. TIGER/Line Shapefile, 2013, county, Stonewall County, TX, Current Address Ranges Relationship File

    Data.gov (United States)

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

  4. TIGER/Line Shapefile, 2013, county, Nassau County, FL, Current Address Ranges Relationship File

    Data.gov (United States)

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

  5. TIGER/Line Shapefile, 2013, county, Sutter County, CA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  6. TIGER/Line Shapefile, 2013, county, Choctaw County, OK, Current Address Ranges Relationship File

    Data.gov (United States)

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

  7. TIGER/Line Shapefile, 2013, county, Haskell County, OK, Current Address Ranges Relationship File

    Data.gov (United States)

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

  8. TIGER/Line Shapefile, 2013, county, Marion County, IA, Current Address Ranges Relationship File

    Data.gov (United States)

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

  9. 77 FR 62429 - Standard Instrument Approach Procedures, and Takeoff Minimums and Obstacle Departure Procedures...

    Science.gov (United States)

    2012-10-15

    ... Minimums and Obstacle DP, Amdt 2 Madison, MN, Lac Qui Parle County, NDB RWY 32, Amdt 4 Madison, MN, Lac Qui Parle County, RNAV (GPS) RWY 14, Orig Madison, MN, Lac Qui Parle County, RNAV (GPS) RWY 32, Orig Madison, MN, Lac Qui Parle County, Takeoff Minimums and Obstacle DP, Orig Branson West, MO, Branson West Muni...

  10. UNEMPLOYMENT IN HUNEDOARA COUNTY

    Directory of Open Access Journals (Sweden)

    CLAUDIA ISAC

    2015-12-01

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

  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

    pulmonary disease (COPD, diabetes, and a range of other noncommunicable diseases, which were no longer compensated for by the decline in cardiovascular mortality. Higher HIV/AIDS and homicide deaths also contributed substantially to life expectancy decline for men, but not for women. Alternative specifications of the effects of migration showed that the rise in cross-county life expectancy SD was unlikely to be caused by migration.There was a steady increase in mortality inequality across the US counties between 1983 and 1999, resulting from stagnation or increase in mortality among the worst-off segment of the population. Female mortality increased in a large number of counties, primarily because of chronic diseases related to smoking, overweight and obesity, and high blood pressure.

  12. 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.

  13. Heritage Awareness in County Wicklow.

    OpenAIRE

    Dagg, Anne, (Thesis)

    2008-01-01

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

  14. Hydrogeology and groundwater quality of Highlands County, Florida

    Science.gov (United States)

    Spechler, Rick M.

    2010-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

    Pomeroy, J.S.

    1989-01-01

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

  16. 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....

  17. 2016 Resident Survey (City and County)

    Data.gov (United States)

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

  18. 2015 Resident Survey (City and County)

    Data.gov (United States)

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

  19. 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...

  20. Allegheny County Environmental Justice Areas

    Data.gov (United States)

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

  1. 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...

  2. 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;...

  3. Soils - Volusia County Soils (Polygons)

    Data.gov (United States)

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

  4. 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...

  5. 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...

  6. Montgomery County Council Legislation - Bills

    Data.gov (United States)

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

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. Allegheny County Illegal Dump Sites

    Data.gov (United States)

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

  12. 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...

  13. Allegheny County Property Assessment Appeals

    Data.gov (United States)

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

  14. 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...

  15. Allegheny County Certified MWDBE Businesses

    Data.gov (United States)

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

  16. Torrance County E-911 Roads

    Data.gov (United States)

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

  17. County Boundaries with Shorelines (National)

    Data.gov (United States)

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

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. Allegheny County Toxics Release Inventory

    Data.gov (United States)

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

  3. 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...

  4. Review of Case Studies for Quantitative Reasoning: A Casebook of Media Articles by Bernard L. Madison, Stuart Boersma, Caren L. Diefenderfer, and Shannon W. Dingman

    Directory of Open Access Journals (Sweden)

    Samuel L. Tunstall

    2015-07-01

    Full Text Available Bernard L. Madison, Stuart Boersma, Caren L. Diefenderfer, and Shannon W. Dingman. Case Studies for Quantitative Reasoning: A Casebook of Media Articles (Pearson Learning Solutions, 2012. 215 pp. ISBN 9781256512875. Concisely organized and timely to a tee, Case Studies for Quantitative Reasoning contains a wealth of articles and exercises to promote higher-order thinking in any course where quantitative literacy is a goal. The text is a self-contained package complete with just enough mathematics to ensure that all students can join in. It contains a total of twenty-four case studies, each of which highlights how numbers appear in day-to-day media. The text is broken into six broad mathematical topics, each of which includes any background mathematics necessary for reading. Each individual study includes warm-up exercises and follow-up questions that demand critical thinking. Notwithstanding the elementary mathematics prerequisite to read the text, the topics and questions are sufficiently challenging to keep a class – and accompanying instructor – engaged for an entire semester.

  5. Review of Calculation vs. Context: Quantitative Literacy and Its Implications for Teacher Education by Bernard L. Madison and Lynn Arthur Steen (Editors

    Directory of Open Access Journals (Sweden)

    Maura B. Mast

    2009-07-01

    Full Text Available Madison, Bernard L. and Steen, Lynn Arthur (Eds.. Calculation vs. Context: Quantitative Literacy and Its Implications for Teacher Education. (Washington, DC: Mathematical Association of America, 2009. 197 pp. Softcover. ISBN 978-0-88385-908-7. Available free on the MAA website at http://www.maa.org/ql/calcvscontext.htmlThe papers in Calculation vs. Context discuss the role of quantitative literacy in the K-12 curriculum and in teacher education. The papers present a varied set of perspectives and address three themes: the changing environment of education in American society; the challenges, and the necessity, of preparing teachers to teach quantitative literacy and of including quantitative literacy in the K-12 education; and cross-disciplinary approaches to quantitative literacy. While the conclusion reached by several of the authors is that the best place to teach quantitative literacy is at the college level, the book offers serious considerations of how quantitative literacy can and should inform the K-12 curriculum. The book also marks a turning point in the quantitative literacy movement as “QL explorers,” as Lynn Steen calls them, move beyond issues of definitions and content to a discussion of how to bring quantitative literacy into a broader setting.

  6. Managing interior Northwest rangelands: the Oregon Range Evaluation Project.

    Science.gov (United States)

    Thomas M. Quigley; H. Reed Sanderson; Arthur R. Tiedemann

    1989-01-01

    This report is a synthesis of results from an 11-year study of the effects of increasing intensities of range management strategies on herbage production, water resources, economics, and associated resources-such as wood fiber and recreation-in Grant County, Oregon. Four intensities of management were studied on Federal land (19 grazing allotments) ranging from no...

  7. Evaluation of leukocyte count in dogs with lymphoma submitted to the Madison-Wisconsin protocol by conventional technique and flow cytometryAvaliação leucocitária de cães com linfoma submetidos ao protocolo de Madison-Wisconsin pela técnica convencional e citometria de fluxo

    Directory of Open Access Journals (Sweden)

    Letícia Abrahão Anai

    2013-09-01

    Full Text Available Lymphoma is the most common hematopoietic tumor in dogs and one of the malignant tumors with higher occurrence in this species. It is a great experimental model due to its resemblance with the non- Hodgkin lymphoma in humans. Considering the importance of the overall changes that result from to this kind of neoplastic tumor and those due to polichemotherapy this study aimed to evaluate the absolute leukon count and the total count of CD45+ cells in the blood of 25 dogs with lymphoma. Findings were crosschecked since diagnose and then once weekly during the first eight sessions of the Madison-Wisconsin chemotherapic protocol. Total granulocyte, lymphocyte and monocyte counts obtained from a conventional automatic counter and by flow cytometry were compared. Results did not reveal statistically significant changes between the two techniques. O linfoma é o tumor de tecido hematopoético mais comum nos cães e um dos tumores malignos de maior ocorrência nesta espécie. É um ótimo modelo experimental para estudo devido a sua semelhança com o linfoma não-Hodgkin em humanos. Considerando a importância das alterações decorrentes da evolução desta neoplasia e aquelas ocorridas com o emprego da poliquimioterapia, avaliou-se o leucograma absoluto e a contagem de células CD45+ pela citometria de fluxo, no sangue de 25 cães com linfoma. Foram avaliados no momento do diagnóstico, uma vez por semana, durante as primeiras oito sessões quimioterápicas do protocolo de Madison-Wisconsin, e cujas contagens obtidas em contador automático convencional e por intermédio da citometria de fluxo, foram comparadas. Os resultados obtidos não revelaram diferenças estatisticamente significativas entre as duas técnicas utilizadas.

  8. 2007 Lake County Board of County Commissioners Topographic LiDAR: Lake County, Florida

    Data.gov (United States)

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

  9. 2008 NWFWMD (Northwest Florida Water Management District) Florida LiDAR: Inland Okaloosa County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This Light Detection and Ranging (LiDAR) LAS dataset is a survey of inland Okaloosa County, Florida not covered in the 2008 Florida Department of Emergency...

  10. 2009 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Lewis County, Washington

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data for the Lewis County survey area for the Puget Sound LiDAR Consortium. This data...

  11. 2008 Northwest Florida Water Management District (NWFWMD) LiDAR: Inland Okaloosa County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This Light Detection and Ranging (LiDAR) LAS dataset is a survey of inland Okaloosa County, Florida not covered in the 2008 Florida Department of Emergency...

  12. 2005 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Lewis County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Terrapoint collected Light Detection and Ranging (LiDAR) data for the Lewis County project of 2005. The project site covered approximately 223 square miles, divided...

  13. 2006 Puget Sound LiDAR Consortium (PSLC) Topographic LiDAR: Lewis County, WA

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Watershed Sciences, Inc. collected Light Detection and Ranging (LiDAR) data of Western Lewis County for the Puget Sound LiDAR Consortium. This data set covers...

  14. 2006 U.S. Geological Survey Topographic LiDAR: Alameda County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Light Detection and Ranging (LiDAR) data set is a survey of Alameda County in Northern California. The entire survey covers approximately 868.382 square miles....

  15. 2006 Florida LiDAR: Escambia, Santa Rosa, and Walton Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — ESCAMBIA: The Light Detection and Ranging (LiDAR) LAS dataset is a survey of select areas within Escambia County, Florida. These data were produced for Dewberry and...

  16. 2010 King County (WA) Dept of Natural Resources and Parks Lidar: Cedar River

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data and true-color orthophotographs of King County, WA from March 18 to March 20, 2010....

  17. Geology and mineral deposits of Churchill County, Nevada

    Science.gov (United States)

    Willden, Ronald; Speed, Robert C.

    1974-01-01

    Churchill County, in west-central Nevada, is an area of varied topography and geology that has had a rather small total mineral production. The western part of the county is dominated by the broad low valley of the Carson Sink, which is underlain by deposits of Lake Lahontan. The bordering mountain ranges to the west and south are of low relief and underlain largely by Tertiary volcanic and sedimentary units. Pre-Tertiary rocks are extensively exposed east of the Carson Sink in the Stillwater Range, Clan Alpine Mountains, Augusta Mountains, and New Pass Mountains. The eastern valleys are underlain by Quaternary alluvial and lacustrine deposits contemporaneous with the western deposits of Lake Lahontan. The eastern mountain ranges are more rugged than the western ranges and have higher relief; the eastern valleys are generally narrower.

  18. Quaternary geology of Alameda County, and parts of Contra Costa, Santa Clara, San Mateo, San Francisco, Stanislaus, and San Joaquin counties, California: a digital database

    Science.gov (United States)

    Helley, E.J.; Graymer, R.W.

    1997-01-01

    Alameda County is located at the northern end of the Diablo Range of Central California. It is bounded on the north by the south flank of Mount Diablo, one of the highest peaks in the Bay Area, reaching an elevation of 1173 meters (3,849 ft). San Francisco Bay forms the western boundary, the San Joaquin Valley borders it on the east and an arbitrary line from the Bay into the Diablo Range forms the southern boundary. Alameda is one of the nine Bay Area counties tributary to San Francisco Bay. Most of the country is mountainous with steep rugged topography. Alameda County is covered by twenty-eight 7.5' topographic Quadrangles which are shown on the index map. The Quaternary deposits in Alameda County comprise three distinct depositional environments. One, forming a transgressive sequence of alluvial fan and fan-delta facies, is mapped in the western one-third of the county. The second, forming only alluvial fan facies, is mapped in the Livermore Valley and San Joaquin Valley in the eastern part of the county. The third, forming a combination of Eolian dune and estuarine facies, is restricted to the Alameda Island area in the northwestern corner of the county.

  19. Water-quality characteristics for selected streams in Lawrence County, South Dakota, 1988-92

    Science.gov (United States)

    Williamson, Joyce E.; Hayes, Timothy Scott

    2000-01-01

    During the 1980?s, significant economic development and population growth began to occur in Lawrence County in the northern part of the Black Hills of western South Dakota. Rising gold prices and heap-leach extraction methods allowed the economic recovery of marginal gold ore deposits, resulting in development of several large-scale, open-pit gold mines in Lawrence County. There was increasing local concern regarding potential impacts on the hydrologic system, especially relating to the quantity and quality of water in the numerous streams and springs of Lawrence County. In order to characterize the water quality of selected streams within Lawrence County, samples were collected from 1988 through 1992 at different times of the year and under variable hydrologic conditions. During the time of this study, the Black Hills area was experiencing a drought; thus, most samples were collected during low-flow conditions.Streamflow and water-quality characteristics in Lawrence County are affected by both geologic conditions and precipitation patterns. Most streams that cross outcrops of the Madison Limestone and Minnelusa Formation lose all or large part of their streamflow to aquifer recharge. Streams that are predominantly spring fed have relatively stable streamflow, varying slightly with dry and wet precipitation cycles.Most streams in Lawrence County generally have calcium magnesium bicarbonate type waters. The sites from the mineralized area of central Lawrence County vary slightly from other streams in Lawrence County by having higher concentrations of sodium, less bicarbonate, and more sulfate. False Bottom Creek near Central City has more sulfate than bicarbonate. Nitrogen, phosphorous, and cyanide concentrations were at or near the laboratory reporting limits for most sites and did not exceed any of the water-quality standards. Nitrite plus nitrate concentrations at Annie Creek near Lead, Whitetail Creek at Lead, Squaw Creek near Spearfish, and Spearfish Creek

  20. county_1m

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — This is a raster grid dataset (1-Meter Resolution) of the ground points derived from the acquired LiDAR. The Light Detection and Ranging (LiDAR) DEM dataset is a...

  1. 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...

  2. 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...

  3. 2010 ARRA Lidar: Bamberg County (SC)

    Data.gov (United States)

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

  4. 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...

  5. Allegheny County Median Age at Death

    Data.gov (United States)

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

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. Allegheny County Voting District (2016) Web Map

    Data.gov (United States)

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

  11. 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.

  12. 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...

  13. Allegheny County Addressing StreetDictionary

    Data.gov (United States)

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

  14. State of Aging in Allegheny County Survey

    Data.gov (United States)

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

  15. 2010 South Carolina DNR Lidar: Kershaw County

    Data.gov (United States)

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

  16. Allegheny County Polling Place Locations (May 2017)

    Data.gov (United States)

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

  17. Port Authority of Allegheny County Transit Stops

    Data.gov (United States)

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

  18. 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,...

  19. Allegheny County Weights and Measures Inspections

    Data.gov (United States)

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

  20. 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...

  1. Allegheny County Farmers Markets Locations (2017)

    Data.gov (United States)

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

  2. Low-Wage Counties Face Locational Disadvantages.

    Science.gov (United States)

    Gibbs, Robert; Cromartie, John B.

    2000-01-01

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

  3. Forest statistics for North Alabama counties

    Science.gov (United States)

    Arnold Hedlund; J. M. Earles

    1972-01-01

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

  4. 76 FR 13172 - Placer County Water Agency

    Science.gov (United States)

    2011-03-10

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

  5. Phase II Archaeological Testing of the Helmkamp Site (11MS2025) in Support of the Proposed Grassy Lake Pump Station and Associated Ditch Work, Wood River Drainage and Levee District, Madison County, Illinois

    Science.gov (United States)

    2005-04-01

    usace.army.mil. The Contractor shall also notify Mr. Vince Milazzo, WRD&LD Superintendent, at (618) 254-7481, FAX (618) 254-7482, cell (618) 973-9176. The...print) ARCHIE C. RINGGENBERG I CONTRACTING OFFICER ~I’V’l G. IL~t14 1? rt4 le’s±t TEL~ 3114-3311.8506 EMAIL Archte.C.*gwtgg~mw02.umae.SrttnyfhIg 15B...conducted another surface collection and excavated seven one-meter-square test units to depths of 70-130 cm below surface. They also extracted two

  6. Kinship Care in Walton County.

    Science.gov (United States)

    Charon, Sara L.; Nackerud, Larry

    1996-01-01

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

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

    OpenAIRE

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

    2008-01-01

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

  8. Range and Frequency of Africanized Honey Bees in California (USA.

    Directory of Open Access Journals (Sweden)

    Yoshiaki Kono

    Full Text Available Africanized honey bees entered California in 1994 but few accounts of their northward expansion or their frequency relative to European honey bees have been published. We used mitochondrial markers and morphometric analyses to determine the prevalence of Africanized honeybees in San Diego County and their current northward progress in California west of the Sierra Nevada crest. The northernmost African mitotypes detected were approximately 40 km south of Sacramento in California's central valley. In San Diego County, 65% of foraging honey bee workers carry African mitochondria and the estimated percentage of Africanized workers using morphological measurements is similar (61%. There was no correlation between mitotype and morphology in San Diego County suggesting Africanized bees result from bidirectional hybridization. Seventy percent of feral hives, but only 13% of managed hives, sampled in San Diego County carried the African mitotype indicating that a large fraction of foraging workers in both urban and rural San Diego County are feral. We also found a single nucleotide polymorphism at the DNA barcode locus COI that distinguishes European and African mitotypes. The utility of this marker was confirmed using 401 georeferenced honey bee sequences from the worldwide Barcode of Life Database. Future censuses can determine whether the current range of the Africanized form is stable, patterns of introgression at nuclear loci, and the environmental factors that may limit the northern range of the Africanized honey bee.

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

    Science.gov (United States)

    Ludlow, Russell A.; Loper, Connie A.

    2004-01-01

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

  10. Range management visual impacts

    Science.gov (United States)

    Bruce R. Brown; David Kissel

    1979-01-01

    Historical overgrazing of western public rangelands has resulted in the passage of the Public Rangeland Improvement Act of 1978. The main purpose of this Act is to improve unsatisfactory range conditions. A contributing factor to unfavorable range conditions is adverse visual impacts. These visual impacts can be identified in three categories of range management: range...

  11. Current mental health program evaluation in San Mateo County.

    Science.gov (United States)

    Goldfarb, A

    1967-09-01

    Examples of program evaluation studies are presented to illustrate the wide range of questions under review in the San Mateo County Mental Health Program. The variety of questions investigated is a reflection of the comprehensiveness and community orientation of the services included in this program. These studies are classified from four points of view, depending upon the focus of their activity: intraservice, interservice, division, and community. Some administrative factors related to the research function are discussed.

  12. Characteristics of bank financial intermediation in Croatian counties

    Directory of Open Access Journals (Sweden)

    Jakša Krišto

    2015-03-01

    Full Text Available Research on bank financial intermediation in a country’s narrower territorial units is scarce, in both domestic and international literature. Banks are almost the only financial intermediaries in narrower territorial units and their role is substantial, ranging from participating in regional development to the successful running of their own business. Hence, the main objective of this paper is to examine the characteristics of the financial intermediation of banks in the counties of the Republic of Croatia, both through a comparison between their economic development levels and the general presence of financial intermediation, and a more specific analysis of their deposit and credit policies. The article uses hierarchical and non-hierarchical (k-means cluster analyses to identify relatively homogeneous groups of counties based on sets of indicators of: economic environment, financial development and infrastructure and, at a more detailed level, the deposit and credit policies of banks. The research results suggest heterogeneity and diversity of bank policies across the counties and sets of indicators. Differences have been observed between developed and developing counties, as well as in approaches to banks’ deposit and credit policies. The paper’s findings encourage further research into these issues.

  13. Suicides in San Mateo County.

    Science.gov (United States)

    Krieger, G

    1967-08-01

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

  14. Minnesota Pheasant Range

    Data.gov (United States)

    Minnesota Department of Natural Resources — This dataset delineates the spatial range of wild pheasant populations in Minnesota as of 2002 by dividing the MN state boundary into 2 units: pheasant range and...

  15. Substring Range Reporting

    DEFF Research Database (Denmark)

    Bille, Philip; Gørtz, Inge Li

    2014-01-01

    We revisit various string indexing problems with range reporting features, namely, position-restricted substring searching, indexing substrings with gaps, and indexing substrings with intervals. We obtain the following main results. We give efficient reductions for each of the above problems...... to a new problem, which we call substring range reporting. Hence, we unify the previous work by showing that we may restrict our attention to a single problem rather than studying each of the above problems individually. We show how to solve substring range reporting with optimal query time and little...... for substring range reporting generalize to substring range counting and substring range emptiness variants. We also obtain non-trivial time-space trade-offs for these problems. Our bounds for substring range reporting are based on a novel combination of suffix trees and range reporting data structures...

  16. 2011 Georgia Department of Natural Resources (GADNR) Environmental Protection Division (EPD) Lidar: Four Counties (Burke, Columbia, Lincoln, and Richmond)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set is the topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements for four counties in Georgia....

  17. Ground-water resources of Atascosa County, Texas

    Science.gov (United States)

    Sundstrom, Raymond W.; Follett, C.R.

    1950-01-01

    Atascosa County, Tex., is underlain by water-bearing sands of Tertiary age that furnish water for domestic and stock supplies throughout the county, for the public supply of all except one of the towns and cities in the county, for irrigation in several localities, for drilling oil wells in the central and southern parts of the county, for washing glass sand in the northern part of the county, and for maintaining several lakes that are used for hunting and fishing. By far the most productive formation is the Carrizo sand, but supplies of considerable magnitude are also obtained from sands in the Mount Selman and Cook Mountain. formations. The rate of withdrawal from the Carrizo sand amounted to about 15,500 acre-feet a year in 1944-45 or an average of about 13.8 million gallons a day. This was about 6,000 acre-feet a year greater in 1944-45 than it was in 1929-30. Of the total amount of water withdrawn in 1944-45 about 6,500 acre-feet a year is largely wasted from uncontrolled flowing wells. If the waste of water from wells in the Carrizo sand were stopped, the consumption of water for useful purposes could be increased about 70 percent without increasing the draft on the underground reservoir. The increase in total withdrawals from the Carrizo sand has been accompanied by a general decline in the artesian head between 1929-30 and 1944 ranging from 3 to 25 feet. On the whole, the evidence shows that the artesian reservoir is not being overdrawn and that it will sustain a somewhat greater draft.

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

    Science.gov (United States)

    2010-05-01

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

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

    Data.gov (United States)

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

  20. VT County Forest Data 1966-1997

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  2. Substring Range Reporting

    DEFF Research Database (Denmark)

    Bille, Philip; Gørtz, Inge Li

    2011-01-01

    We revisit various string indexing problems with range reporting features, namely, position-restricted substring searching, indexing substrings with gaps, and indexing substrings with intervals. We obtain the following main results. – We give efficient reductions for each of the above problems...... to a new problem, which we call substring range reporting. Hence, we unify the previous work by showing that we may restrict our attention to a single problem rather than studying each of the above problems individually. – We show how to solve substring range reporting with optimal query time and little...... range reporting are based on a novel combination of suffix trees and range reporting data structures. The reductions are simple and general and may apply to other combinations of string indexing with range reporting....

  3. 75 FR 45557 - Prevailing Rate Systems; Definition of Tulsa County, OK, and Angelina County, TX, to...

    Science.gov (United States)

    2010-08-03

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

  4. 75 FR 25308 - Environmental Impact Statement: Winnebago County, IL and Rock County, WI

    Science.gov (United States)

    2010-05-07

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

  5. Compact Antenna Range

    Data.gov (United States)

    Federal Laboratory Consortium — Facility consists of a folded compact antenna range including a computer controlled three axis position table, parabolic reflector and RF sources for the measurement...

  6. Dryden Aeronautical Test Range

    Data.gov (United States)

    Federal Laboratory Consortium — Recently redesignated to honor Dr. Hugh L. Dryden, NASA's Dryden Aeronautical Test Range (DATR) supports aerospace flight research and technology integration, space...

  7. Reconnaissance of geothermal resources of Los Angeles County, California

    Energy Technology Data Exchange (ETDEWEB)

    Higgins, C.T.

    1981-01-01

    Thermal waters produced from large oil fields are currently the most important geothermal resources in Los Angeles County. Otherwise, the County does not appear to have any large, near-surface geothermal resources. The oil fields produce thermal water because of both the moderate depths of production and normal to above-normal geothermal gradients. Gradients are about 3.0-3.5/sup 0/C/100 meters in the Ventura Basin and range from that up to about 5.5-6.0/sup 0/C/100 meters in the Los Angeles Basin. The hottest fields in the County are west of the Newport-Inglewood Structural Zone. The Los Angeles Basin has substantially more potential for uses of heat from oil fields than does the Ventura Basin because of its large fields and dense urban development. Produced fluid temperatures there range from ambient air to boiling, but most are in the 100-150/sup 0/F range. Daily water production ranges from only a few barrels at some fields to over a million barrels at Wilmington Oil Field; nearly all fields produce less than 50,000 barrels/day. Water salinity generally ranges from about 15,000-35,000 mg/liter NaCl. Fields with the most promise as sources of heat for outside applications are Wilmington, Torrance, Venice Beach, and Lawndale. The centralized treatment facilities are the most favorable sites for extraction of heat within the oil fields. Because of the poor water quality heat exchangers will likely be required rather than direct circulation of the field water to users. The best sites for applications are commercial-industrial areas and possibly institutional structures occupied by large numbers of people.

  8. On Range of Skill

    DEFF Research Database (Denmark)

    Hansen, Thomas Dueholm; Miltersen, Peter Bro; Sørensen, Troels Bjerre

    2008-01-01

    size (and doubly exponential in its depth). We also provide techniques that yield concrete bounds for unbalanced game trees and apply these to estimate the Range of Skill of Tic-Tac-Toe and Heads-Up Limit Texas Hold'em Poker. In particular, we show that the Range of Skill of Tic-Tac-Toe is more than...

  9. Range Scheduling Aid (RSA)

    Science.gov (United States)

    Logan, J. R.; Pulvermacher, M. K.

    1991-01-01

    Range Scheduling Aid (RSA) is presented in the form of the viewgraphs. The following subject areas are covered: satellite control network; current and new approaches to range scheduling; MITRE tasking; RSA features; RSA display; constraint based analytic capability; RSA architecture; and RSA benefits.

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  12. Home range and travels

    Science.gov (United States)

    Stickel, L.F.; King, John A.

    1968-01-01

    The concept of home range was expressed by Seton (1909) in the term 'home region,' which Burr (1940, 1943) clarified with a definition of home range and exemplified in a definitive study of Peromyscus in the field. Burt pointed out the ever-changing characteristics of home-range area and the consequent absence of boundaries in the usual sense--a finding verified by investigators thereafter. In the studies summarized in this paper, sizes of home ranges of Peromyscus varied within two magnitudes, approximately from 0.1 acre to ten acres, in 34 studies conducted in a variety of habitats from the seaside dunes of Florida to the Alaskan forests. Variation in sizes of home ranges was correlated with both environmental and physiological factors; with habitat it was conspicuous, both in the same and different regions. Food supply also was related to size of home range, both seasonally and in relation to habitat. Home ranges generally were smallest in winter and largest in spring, at the onset of the breeding season. Activity and size also were affected by changes in weather. Activity was least when temperatures were low and nights were bright. Effects of rainfall were variable. Sizes varied according to sex and age; young mice remained in the parents' range until they approached maturity, when they began to travel more widely. Adult males commonly had larger home ranges than females, although there were a number of exceptions. An inverse relationship between population density and size of home range was shown in several studies and probably is the usual relationship. A basic need for activity and exploration also appeared to influence size of home range. Behavior within the home range was discussed in terms of travel patterns, travels in relation to home sites and refuges, territory, and stability of size of home range. Travels within the home range consisted of repeated use of well-worn trails to sites of food, shelter, and refuge, plus more random exploratory travels

  13. Water resources of Sweetwater County, Wyoming

    Science.gov (United States)

    Mason, Jon P.; Miller, Kirk A.

    2004-01-01

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

  14. Ground-water and geohydrologic conditions in Queens County, Long Island, New York

    Science.gov (United States)

    Soren, Julian

    1971-01-01

    Queens County is a heavily populated borough of New York City, at the western end of Long Island, N. Y., in which large amounts of ground water are used, mostly for public supply. Ground water, pumped from local aquifers, by privately owned water-supply companies, supplied the water needs of about 750,000 of the nearly 2 million residents of the county in 1967; the balance was supplied by New York City from surface sources outside the county in upstate New York. The county's aquifers consist of sand and gravel of Late Cretaceous and of Pleistocene ages, and the aquifers comprise a wedge-shaped ground-water reservoir lying on a southeastward-sloping floor of Precambrian(?) bedrock. Beds of clay and silt generally confine water in the deeper parts of the reservoir; water in the deeper aquifers ranges from poorly confined to well confined. Wisconsin-age glacial deposits in the uppermost part of the reservoir contain ground water under water-table conditions. Ground water pumpage averaged about 60 mgd (million gallons per day) in Queens County from about 1900 to 1967. Much of the water was used in adjacent Kings County, another borough of New York City, prior to 1950. The large ground-water withdrawal has resulted in a wide-spread and still-growing cone of depression in the water table, reflecting a loss of about 61 billion gallons of fresh water from storage. Significant drawdown of the water table probably began with rapid urbanization of Queens County in the 1920's. The county has been extensively paved, and storm and sanitary sewers divert water, which formerly entered the ground, to tidewater north and south of the county. Natural recharge to the aquifers has been reduced to about one half of the preurban rate and is below the withdrawal rate. Ground-water levels have declined more than 40. feet from the earliest-known levels, in 1903, to 1967, and the water table is below sea level in much of the county. The aquifers are being contaminated by the movement of

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

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

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

  16. Geothermal development issues: Recommendations to Deschutes County

    Energy Technology Data Exchange (ETDEWEB)

    Gebhard, C.

    1982-07-01

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

  17. Educational and Demographic Profile: San Mateo County.

    Science.gov (United States)

    California Postsecondary Education Commission, 2004

    2004-01-01

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

  18. Meat and Dairy Goats in Cache County

    OpenAIRE

    Extension, USU

    2000-01-01

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

  19. Nepotism and the Jackson County School Board

    Science.gov (United States)

    Heisler, William; Hanlin, Lesa

    2017-01-01

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

  20. A Profile of Suwannee County, Florida.

    Science.gov (United States)

    Beaulieu, Lionel J.

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

  1. 76 FR 44302 - Fresno County Resource Advisory Committee

    Science.gov (United States)

    2011-07-25

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

  2. 76 FR 28415 - Fresno County Resource Advisory Committee

    Science.gov (United States)

    2011-05-17

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

  3. 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.

  4. 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)

  5. Long range image enhancement

    CSIR Research Space (South Africa)

    Duvenhage, B

    2015-11-01

    Full Text Available and Vision Computing, Auckland, New Zealand, 23-24 November 2015 Long Range Image Enhancement Bernardt Duvenhage Council for Scientific and Industrial Research South Africa Email: bduvenhage@csir.co.za Abstract Turbulent pockets of air...

  6. SNOWY RANGE WILDERNESS, WYOMING.

    Science.gov (United States)

    Houston, Robert S.; Bigsby, Philip R.

    1984-01-01

    A mineral survey of the Snowy Range Wilderness in Wyoming was undertaken and was followed up with more detailed geologic and geochemical surveys, culminating in diamond drilling of one hole in the Snowy Range Wilderness. No mineral deposits were identified in the Snowy Range Wilderness, but inasmuch as low-grade uranium and associated gold resources were identified in rocks similar to those of the northern Snowy Range Wilderness in an area about 5 mi northeast of the wilderness boundary, the authors conclude that the northern half of the wilderness has a probable-resource potential for uranium and gold. Closely spaced drilling would be required to completely evaluate this mineral potential. The geologic terrane precludes the occurrence of fossil fuels.

  7. Atlantic Test Range (ATR)

    Data.gov (United States)

    Federal Laboratory Consortium — ATR controls fully-instrumented and integrated test ranges that provide full-service support for cradle-to-grave testing. Airspace and surface target areas are used...

  8. Light Detection And Ranging

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — LiDAR (Light Detection and Ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format....

  9. Geochemistry, geochronology, mineralogy, and geology suggest sources of and controls on mineral systems in the southern Toquima Range, Nye County, Nevada; with geochemistry maps of gold, silver, mercury, arsenic, antimony, zinc, copper, lead, molybdenum, bismuth, iron, titanium, vanadium, cobalt, beryllium, boron, fluorine, and sulfur; and with a section on lead associations, mineralogy and paragenesis, and isotopes

    Science.gov (United States)

    Shawe, Daniel R.; Hoffman, James D.; Doe, Bruce R.; Foord, Eugene E.; Stein, Holly J.; Ayuso, Robert A.

    2003-01-01

    Geochemistry maps showing the distribution and abundance of 18 elements in about 1,400 rock samples, both mineralized and unmineralized, from the southern Toquima Range, Nev., indicate major structural and lithologic controls on mineralization, and suggest sources of the elements. Radiometric age data, lead mineralogy and paragenesis data, and lead-isotope data supplement the geochemical and geologic data, providing further insight into timing, sources, and controls on mineralization. Major zones of mineralization are centered on structural margins of calderas and principal northwest-striking fault zones, as at Round Mountain, Manhattan, and Jefferson mining districts, and on intersections of low-angle and steep structures, as at Belmont mining district. Paleozoic sedimentary rocks, mostly limestones (at Manhattan, Jefferson, and Belmont districts), and porous Oligocene ash-flow tuffs (at Round Mountain district) host the major deposits, although all rock types have been mineralized as evidenced by numerous prospects throughout the area. Principal mineral systems are gold-silver at Round Mountain where about 7 million ounces of gold and more than 4 million ounces of silver has been produced; gold at Gold Hill in the west part of the Manhattan district where about a half million ounces of gold has been produced; gold-mercury-arsenic-antimony in the east (White Caps) part of the Manhattan district where a few hundred thousand ounces of gold has been produced; and silver-lead-antimony at Belmont where more than 150,000 ounces of silver has been produced. Lesser amounts of gold and silver have been produced from the Jefferson district and from scattered mines elsewhere in the southern Toquima Range. A small amount of tungsten was produced from mines in the granite of the Round Mountain pluton exposed east of Round Mountain, and small amounts of arsenic, antimony, and mercury have been produced elsewhere in the southern Toquima Range. All elements show unique

  10. On Range of Skill

    DEFF Research Database (Denmark)

    Hansen, Thomas Dueholm; Miltersen, Peter Bro; Sørensen, Troels Bjerre

    2008-01-01

    is a small number, but only gave heuristic arguments for this. In this paper, we provide the first methods for rigorously estimating the Range of Skill of a given game. We provide some general, asymptotic bounds that imply that the Range of Skill of a perfectly balanced game tree is almost exponential in its......At AAAI'07, Zinkevich, Bowling and Burch introduced the Range of Skill measure of a two-player game and used it as a parameter in the analysis of the running time of an algorithm for finding approximate solutions to such games. They suggested that the Range of Skill of a typical natural game...... size (and doubly exponential in its depth). We also provide techniques that yield concrete bounds for unbalanced game trees and apply these to estimate the Range of Skill of Tic-Tac-Toe and Heads-Up Limit Texas Hold'em Poker. In particular, we show that the Range of Skill of Tic-Tac-Toe is more than...

  11. 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

  12. 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.

  13. Elemental sulfur in Eddy County, New Mexico

    Science.gov (United States)

    Hinds, Jim S.; Cunningham, Richard R.

    1970-01-01

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

  14. Range Selection and Median

    DEFF Research Database (Denmark)

    Jørgensen, Allan Grønlund; Larsen, Kasper Green

    2011-01-01

    that supports queries in constant time, needs n1+ (1) space. For data structures that uses n logO(1) n space this matches the best known upper bound. Additionally, we present a linear space data structure that supports range selection queries in O(log k= log log n + log log n) time. Finally, we prove that any...

  15. Electric vehicles: Driving range

    Science.gov (United States)

    Kempton, Willett

    2016-09-01

    For uptake of electric vehicles to increase, consumers' driving-range needs must be fulfilled. Analysis of the driving patterns of personal vehicles in the US now shows that today's electric vehicles can meet all travel needs on almost 90% of days from a single overnight charge.

  16. 77 FR 51556 - Sheldon National Wildlife Refuge, Humboldt County and Washoe County, NV; Lake County, OR; Final...

    Science.gov (United States)

    2012-08-24

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

  17. Hennepin County`s experience with heavy-duty ethanol vehicles

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-01-01

    From November 1993 to October 1996, Hennepin County, which includes Minneapolis, field-tested two heavy-duty snowplow/road maintenance trucks fueled by ethanol. The overall objective of this program was to collect data from original equipment manufacturer alternative fuel heavy-duty trucks, along with comparable data from a similarly configured diesel-powered vehicle, to establish economic, emissions, performance, and durability data for the alternative fuel technology. These ethanol trucks, along with an identical third truck equipped with a diesel engine, were operated year round to maintain the Hennepin county roads. In winter, the trucks were run in 8-hour shifts plowing and hauling snow from urban and suburban roads. For the rest of the year, the three trucks were used to repair and maintain these same roads. As a result of this project, a considerable amount of data was collected on E95 fuel use, as well as maintenance, repair, emissions, and operational characteristics. Maintenance and repair costs of the E95 trucks were considerably higher primarily due to fuel filter and fuel pump issues. From an emissions standpoint, the E95 trucks emitted less particulate matter and fewer oxides of nitrogen but more carbon monoxide and hydrocarbons. Overall, the E95 trucks operated as well as the diesel, as long as the fuel filters were changed frequently. This project was a success in that E95, a domestically produced fuel from a renewable energy source, was used in a heavy-duty truck application and performed the same rigorous tasks as the diesel counterparts. The drawbacks to E95 as a heavy-duty fuel take the form of higher operational costs, higher fuel costs, shorter range, and the lack of over-the-road infrastructure.

  18. 7 CFR 7.11 - County committee members.

    Science.gov (United States)

    2010-01-01

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

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

    Science.gov (United States)

    Norvitch, Ralph F.

    1964-01-01

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

  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: 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,...

  2. Basemap Framework Submission for Warren County IA

    Data.gov (United States)

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

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

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Aquatic vegetation in Volusia County. DEP SEA_GRASSES This polygon GIS data set represents a compilation of statewide seagrass data from various source agencies and...

  4. 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...

  5. 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...

  6. 2012 South Carolina DNR Lidar: Barnwell County

    Data.gov (United States)

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

  7. VT Data - Housing 2016, Chittenden County

    Data.gov (United States)

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

  8. Hydrologic Data Sites for Iron County, Utah

    Data.gov (United States)

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

  9. 2012 South Carolina DNR Lidar: Abbeville County

    Data.gov (United States)

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

  10. 2012 South Carolina DNR Lidar: 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. 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,...

  12. 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)

  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. 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...

  15. 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.

  16. 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...

  17. 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...

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

    Data.gov (United States)

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

  19. 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...

  20. 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).

  1. 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,...

  2. 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,...

  3. 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,...

  4. 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,...

  5. 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,

  6. Jefferson County Bio-energy Initiative

    Energy Technology Data Exchange (ETDEWEB)

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

    2006-06-01

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

  7. Edentulism in high poverty rural counties.

    Science.gov (United States)

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

    2013-01-01

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

  8. 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...

  9. 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...

  10. Zoning Districts - Volusia County HUB Zones

    Data.gov (United States)

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

  11. 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...

  12. 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...

  13. 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,...

  14. 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,...

  15. 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,...

  16. 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,...

  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. 2008 South Carolina Lidar: Newberry County

    Data.gov (United States)

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

  19. 2008 South Carolina Lidar: 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,...

  20. 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,...

  1. 2016 Martin County QL2 Lidar (FL)

    Data.gov (United States)

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

  2. 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...

  3. 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...

  4. 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.

  5. 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...

  6. 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...

  7. Basemap Framework Submission for Fremont County IA

    Data.gov (United States)

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

  8. Developing county bridge repair and retrofit techniques.

    Science.gov (United States)

    2013-08-01

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

  9. 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...

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

    Data.gov (United States)

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

  11. 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)...

  12. Basemap Framework Submission for Poweshiek County IA

    Data.gov (United States)

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

  13. 2010 ARRA Lidar: 4 Southeast Counties (MI)

    Data.gov (United States)

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

  14. 2011 ARRA Lidar: Willacy County (TX)

    Data.gov (United States)

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

  15. 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...

  16. 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...

  17. 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...

  18. 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,...

  19. 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...

  20. 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...