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To provide the user with a general idea of where the 91.4 m (300 ft) of critical habitat buffer for the Rio Grande silvery minnow (Hybognathus amarus) occur. The geographic extent includes Bernalillo, Sandoval, Socorro and Valencia Counties in New Mexico.

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NOAA Contract: EA133C11CQ0009NOAA Task Order Number: T0013The PSFY13 GA DNR Elevation Data Task Order involves collecting and delivering topographic elevation point data derived frommultiple return light detection and ranging (LiDAR) measurements in 4 counties in Georgia. The Statement of Work (SOW) was developedby the National Oceanic and Atmospheric Administration's (NOAA) Coastal Services Center (referred to as the Center) in partnershipwith the Georgia Department of Natural Resources (GADNR) Environmental Protection Division (EPD). The counties included are Barrow,Clarke, Madison and Oglethorpe. The data collected for these 4 counties will exhibit Hydro Flattened DEMs for inclusion into the NationalElevation Dataset (NED). The purpose of the data is for use in coastal management decision making, including applications such as floodplain mapping and water rights management. LiDAR was collected at 1.0 points per square meter (1.0m GSD) for Barrow, Clarke, Madison and Oglethorpe Counties.This area was flown during snow free and leaf-off conditions.

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Jason-3 is the fourth mission in U.S.-European series of satellite missions that measure the height of the ocean surface. Scheduled to launch in 2015, the mission will extend the time series of ocean surface topography measurements begun by the TOPEX/Poseidon satellite mission in 1992 and continuing through the currently operating Jason-1 (launched in 2001) and OSTM/Jason-2 (launched in 2008) missions. These measurements provide scientists with critical information about circulation patterns in the ocean and about both global and regional changes in sea level and the climate implications of a warming world. TOPEX/Poseidon and Jason-1 were cooperative missions between NASA and the French space agency, CNES. Additional partners in the Jason-2 mission included NOAA and Eumetsat. Jason-3 continues the international cooperation, with NOAA and Eumetsat leading the efforts, along with partners NASA and CNES. The primary instrument on Jason-3 is a radar altimeter. The altimeter measures sea-level variations over the global ocean with very high accuracy (as 1.3 inches or 3.3 centimeters, with a goal of achieving 1 inch or 2.5 centimeters). These files are produced by CNES for offline (IGDR, GDR) data production. For GPSP1, intermediate level-1 data files are in "RINEX" format and from the Global Positioning System (GPS) receiver and are used to compute precise GPS orbits for the spacecraft. For TLE: Two Line Element files are used to determine the position and velocity of the satellite. Within CLASS, they will be used directly to determine each orbit's equator crossing longitude and time which subsequently are used to support spatial search. For MOE and POE, medium-precision and precision orbital ephemeris files are from the DORIS system. These data may be may be subject to access restrictions. Additional documentation for Jason-3 data is archived at the NODC at: https://archive.nodc.noaa.gov/cgi-bin/AMS/prod/accession/details/118276. The documentation includes metadata in International Standards Organization (ISO) format.

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The Foreign Service Pension System (FSPS) is the Foreign Service equivalent of the Federal Employees Retirement System (FERS), as described in 5 U.S.C. 84.

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A shapefile of five minute grids that contains marine bird density data at-sea from the CDAS Central CA data set (1980-2001). It is a shapefile representing 5 minute x 5 minute latitude x longitude cells that house the densities (birds/sq.km.) of 40 species of marine birds during the Upwelling, Oceanic and Davidson Current Seasons. The number of marine birds seen in a cell was divided by the area sampled in the cell to estimate density. If a cell was surveyed more than once, densities were averaged and weighted according to effort. Cells that were surveyed but in which no birds were observed have densities of zero.

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Activity in terms of establishments and dispositions for CARS on a monthly basis

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LAS format files, raw LiDAR data in its native format, classified bare-earth LiDAR DEM and photogrammetrically derived breaklines generated from LiDAR Intensity stereo-pairs. Breakline, Top of Bank, and contour files in ESRI personal geodatabase format, Microstation V8 .dgn format, and AutoCAD 2004 formats for the San Jose Phase 3 project of Santa Clara County, Ca. This project arrived with only unclassified data. NOAAs Office for Coastal Management performed an automated classification using lasground. Although class 1 and class 2 are available, there was no QA/QC on the points after lasground was performed.

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NARSTO EPA_SS_LOS_ANGELES PM2.5 Composition and Mass Data

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The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown here as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary.

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North American ASTER Land Surface Emissivity Database (Suggested Usage: Science Research)

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<p>BioSentinel technology will provide critical information about how living systems, from humans down to cells, adapt, respond and survive in deep space, beyond LEO furthering our understanding of radiation effects on biological systems and the potential countermeasures needed to enable future deep space exploration missions.  Using autonomous 6U Cubesats is an innovative, low-cost, low-risk, high pay-off approach to conduct research and technology investigations.</p><p>DNA double-stranded-breaks (DSB) repair exhibits striking conservation of repair proteins from yeast to humans.  The BioSentinel project uses yeast not only because of its similarity to cells in higher organisms, but also because of 1) the well-established history of strains engineered to measure DSB repair, 2) yeast’s flight heritage, and 3) the wealth of available ground and flight reference data.  </p><p>One <em>S. cerevisiae</em> flight strain will contain engineered genetic defects to prevent growth and division until a radiation-induced DSB near (~1000 bases) the target genes activates the yeast’s DNA repair mechanisms: culture growth and metabolic activity will indicate directly a DSB and its successful repair.  In parallel, a different yeast strain that cannot repair DSBs will provide survival curves: increased space radiation-induced DSBs cause decreased cell survival.  Each of the multiple yeast strains is carried in multiple independent culture wells, subgroups of which are activated at multiple time points over a 6 – 18-month mission.  The instrument monitors each subgroup of 12 culture wells continuously for 4 weeks, tracking cell growth via optical density and metabolic activity using a viability dye: <em>growth indicates DNA damage and repair</em>.  A payload containment designed for minimal shielding of the cells provides biologically significant radiation doses in orbits beyond LEO.  Far higher doses can be expected during a solar particle event (SPE), triggering additional measurements by our biosensors.  The DSB rate in space will be compared to (a) physically measured radiation dose, (b) studies conducted in terrestrial radiation facilities, and (c) models of expected DNA damage-and-repair rates.  Due to the unique composition, flux, and energy distribution of space radiation, it is expected that the radiation-induced responses in space will differ from ground-based data.</p><p>The results will be critical for improving interpretation of the biological effects of space radiation exposure, and to reduce risk associated with long-duration human exploration. </p><p> </p>

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This data set contains vector lines and polygons representing the shoreline and coastal habitats for Maryland, classified according to the Environmental Sensitivity Index (ESI) classification system. This data set comprises a portion of the ESI data for Maryland. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

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Monthly Performance Review (Finance) January 2014

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Lake Mead is a large interstate reservoir located in the Mojave Desert of southeastern Nevada and northwestern Arizona. It was impounded in 1935 by the construction of Hoover Dam and is one of a series of multi-purpose reservoirs on the Colorado River. The lake extends 183 km from the mouth of the Grand Canyon to Black Canyon, the site of Hoover Dam, and provides water for residential, commercial, industrial, recreational, and other non-agricultural users in communities across the southwestern United States. Extensive research has been conducted on Lake Mead, but a majority of the studies have involved determining levels of anthropogenic contaminants such as synthetic organic compounds, heavy metals and dissolved ions, furans/dioxins, and nutrient loading in lake water, sediment, and biota (Preissler, et al., 1998; Bevans et al, 1996; Bevans et al., 1998; Covay and Leiker, 1998; LaBounty and Horn, 1997; Paulson, 1981). By contrast, little work has focused on the sediments in the lake and the processes of deposition (Gould, 1951). To address these questions, sidescan-sonar imagery and high-resolution seismic-reflection profiles were collected throughout Lake Mead by the USGS in cooperation with researchers from University of Nevada Las Vegas (UNLV). These data allow a detailed mapping of the surficial geology and the distribution and thickness of sediment that has accumulated in the lake since the completion of Hoover Dam. Results indicate that the accumulation of post-impoundment sediment is primarily restricted to former river and stream beds that are now submerged below the lake while the margins of the lake appear to be devoid of post-impoundment sediment. The sediment cover along the original Colorado River bed is continuous and is typically greater than 10 m thick through much of its length. Sediment thickness in some areas exceeds 35 m while the smaller tributary valleys typically are filled with less than 4 m of sediment. Away from the river beds that are now covered with post-impoundment sediment, pre-impoundment alluvial deposits and rock outcrops are still exposed on the lake floor.

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IDPH Multiple Births, by County, 2009

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National Defense Budget Estimates for the FY 2000 Budget (Green Book). Summary reference source for the National Defense budget estimates for FY 2000.

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Space Micro and Clemson University have teamed for a miniature, ultra low power, space radiation dosimeter. We project this unit, "MicroRad", to be 50X smaller than the existing solution. Our ability to capitalize on COTS semiconductor devices and processes enable extremely accurate measurements at low cost. Space Micro Inc. adds their space rad hard computing to provide data logging and reporting of radiation levels. Our innovation is to utilize a normally negative response of modern microelectronics to space radiation to enable measurement of impinging particles. It is our understanding of the radiation effects physics, combined with space electronics computing and hardware which will make this R&D successful. In Phase we demonstrate technical feasibility with a lab breadboard dosimeter and device level radiation test results. We also evaluate advanced microelectronics packaging techniques (3-D stacking) to even further miniaturize in Phase II. At the end of Phase II we have developed and tested flight model dosimeter including ground-based radiation qualification. Use of space radiation dosimeters has been severely limited due to the size, power, cost of limited custom products; it is our mission to provide a commercially viable standard dosimeter for widespread application to new NASA long duration exploration and science missions.

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The purpose of this census was to provide information on jails throughout the United States. Information is supplied on the number of inmates held, types of accommodations, number of different types of staff personnel, procedures for segregating certain t

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This digital dataset represents the area where lateral flow into and out of the Central Valley groundwater-flow system occurs. The General Head Boundary (GHB) is set to 0 and is only in the Delta and is specified in layer 1 where the groundwater system intersects the surface water system. The Central Valley encompasses an approximate 50,000 square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling code, MODFLOW-FMP (Schmid and others, 2006). This application is referred to here as the Central Valley Hydrologic Model (CVHM) (Faunt, 2009). Utilizing MODFLOW-FMP, the CVHM simulates groundwater and surface-water flow, irrigated agriculture, land subsidence, and other key processes in the Central Valley on a monthly basis from 1961-2003. The total active modeled area is 20,334 square-miles on a finite-difference grid comprising 441 rows and 98 columns. Slightly less that 50 percent of the cells are active. The CVHM grid has a uniform horizontal discretization of 1x1 square mile and is oriented parallel to the valley axis, 34 degrees west of north (Faunt, 2009). The CVHM is the most recent regional-scale model of the Central Valley developed by the U.S. Geological Survey (USGS). The CVHM was developed as part of the USGS Groundwater Resources Program (see "Foreword", Chapter A, page iii, for details).

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The Injuries, Illnesses, and Fatalities (IIF) program provides annual information on the rate and number of work related injuries, illnesses, and fatal injuries, and how these statistics vary by incident, industry, geography, occupation, and other characteristics. More information and details about the data provided can be found at http://bls.gov/iif/Data.htm.

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This Flood Insurance Study was produced through a cooperative partnership between the State of North Carolina and FEMA. The North Carolina Floodplain Mapping Program, through FEMA's Cooperating Technical State (CTS) Initiative, is conducting flood hazard analyses and producing updated, digital FIRM panels for all North Carolina communities. Additional information regarding the North Carolina Floodplain Mapping Program and the data collected during the mapping process are available at www.ncfloodmaps.com. The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to the earth's surface using the NC State Plane Coordinate System, North American Datum 1983, Units of Feet. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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A summary of the following waterfowl studies are included in this report: The canvasback study, general waterfowl study, habitat descriptions and present waterfowl utilization, suggested habitat management modification and improvements and agricultural practices in relation to management of waterfowl habitat

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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, orthographic imagery, is packaged in a separate NFIP Metadata Profile): cadastral, geodetic control, governmental unit, transportation, general structures, hydrography (water areas & lines. These data include an encoding of the geographic extent of the features and a minimal number of attributes needed to identify and describe the features. (Source: Circular A16, p. 13)

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Rates of long-term and short-term shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 3.0; An ArcGIS extension for calculating shoreline change: U.S. Geological Survey Open-File Report 2005-1304, Thieler, E.R., Himmelstoss, E.A., Zichichi, J.L., and Miller, T.M. The extension is designed to efficiently lead a user through the major steps of shoreline change analysis. This extension to ArcGIS contains three main components that define a baseline, generate orthogonal transects at a user-defined separation along the coast, and calculate rates of change (linear regression, endpoint rate, average of rates, average of endpoints, jackknife).

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The NBI System is the collection of bridge inspection information and costs associated with bridge replacements of structurally deficient bridges on and off the NHS. This data is collected under the auspices of the National Bridge Inspection Standards (NBIS) as prescribed by law. The NBI System collects the information that is used to determine eligibility for NHS projects, performance measure reporting, NHS penalty determination, and reporting to Congress. It supports oversight of the NBIS through various report tools, and provides data reporting that supports agency strategic goals.