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This complete manufacturing facility contains 250 pieces of equipment to include CNC, NC and conventional machine tools, heat treating, welding, inspection and associated support equipment to meet ARDEC's R&D mission. This equipment is used for prototype development of test quantities on a wide variety of armaments. The uniqueness of this facility is in the varied type and the quality of the equipment it houses. The building is 85,000 square feet and has three bridge cranes (50 ton, 20 ton, 15 ton) that run the length of the main building. These allow large vehicles to be disassembled, modified and reassembled with ease.

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This document is a letter announcing the completion of the wilderness study for the White River National Wildlife Refuge. It also contains text supporting wilderness recommendation for the area.

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A microsensor cell with interdigitated micron-size three electrode structure cell of thin film platinum sensing and counter electrodes and platinum pseudo or silver quasi reference electrodes deposited on silicon dioxide over silicon will be fabricated. A unique thin film composite polymer membrane electrolyte with high ionic conductivity and wide voltage window and hydrophobic property will be prepared and characterized and coated on the electrodes of the cell. The prototype sensor will be assembled in a suitable container covered with thin film PTFE membrane and feasibility demonstrated for sensing oxygen, water vapor and carbon dioxide.

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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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Each year Congress passes legislation which, when signed by the President, appropriates funds for the Department of Transportation and related agencies. After this legislation is enacted, FTA publishes a Notice in the Federal Register which provides an overview of the apportionments and allocations based on these funds for the various Federal Transit Administration programs as well as statements of policy and guidance on public transit administration. These data sets show how FTA funding is distributed.

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Onemetersquare 1 meter x 1 meter benthic substrate at Lisianski Island, site P9 26.077 N, 173.964 W, between 36 and 37 meters along a permanent transect.

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The entire population of the Wood River Valley depends on ground water for domestic supply, either from domestic or municipal-supply wells, rapid population growth since the 1970s has raised concerns about the continued availability of ground and surface water to support existing uses and streamflow. To help address these concerns, ground- and surface-water conditions in the area before and during the population growth that started in the 1970s was evaluated. This dataset helps analyze trends in ground-water data, documents 2006 hydrologic conditions, and is used to compare 2006 and historic ground-water data of the Wood River Valley of south-central Idaho. It represents ground-water conditions in the unconfined aquifer during October 2006 constructed from 88 water-level measurements in the main valley and 8 tributary canyons.

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MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.

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Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

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Description

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD); and (3) special designations recognizing waters of exceptional quality as defined in State water quality standards. Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers). Information on State-designated uses and waters of exceptional quality are only available for a limited number of parks at this time.

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This data set is part of a larger set of data called the MultiBeam Bathymetric Data Base (MBBDB) where other similar data can be found at http://maps.ngdc.noaa.gov/viewers/multibeam/

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This report summarizes the Waterfowl Production and Habitat Survey for southern Alberta during 1981. The primary purpose of the survey is to provide information on duck production from the midcontinent breeding areas. Survey methods, weather and habitat conditions, production indices, and tables of waterfowl brood and latenesting indices are provided.

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The US DOT through the Office of Aviation Analysis issues the Consumer Air Fare Report on a quarterly basis, which provides information about average prices being paid by consumers in the top 1,000 domestic city-pair markets in the continental United States. The source data is the US DOT Origin and Destination Survey.

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E2 Solutions is a web based end-to-end travel management tool that includes paperless travel authorization and voucher document submissions, document approval routing, calculation of per diem and actual expenses, automatic obligation and de-obligation and split disbursement of funds when interfaced with Phoenix. This application is hosted by the vendor Carlson Wagonlit Travel.

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States from which recovered/traced firearms originated, by state

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To support a long-term NOAA Coral Reef Conservation Program (CRCP) for sustainable management and conservation of coral reef ecosystems, from 15 April - 7 May 2009, belt transect surveys of coral population and diseases quantitative assessments were conducted, as a part of Rapid Ecological Assessments (REA), during the Pacific Reef Assessment and Monitoring Program (RAMP) Cruise HI0903 in the Marianas Archipelago at biennial intervals by the Coral Reef Ecosystem Division (CRED) at the NOAA Pacific Islands Fisheries Science Center (PIFSC). During the cruise, there were 14 surveys in total conducted at REA sites around Agrihan Island in the Marianas Archipelago. At the specific REA sites, coral biologists along with fish biologists, algal biologists and marine invertebrate zoologist entered the water and conducted a fine-scale (~300 m2) and high degree of taxonomic resolution REA survey to assess and monitor species composition, abundance, percent cover, size distribution, diversity, and general health of fish, corals, macro-invertebrates, and algae in shallow-water (< 35 m) habitats. As a part of REA surveys, the coral belt surveys were focused on quantifying the diversity, abundance, density, and size-class distribution of the anthozoan and hydrozoan corals as well as the condition and health state of the coral reef populations. The surveys were conducted along two consecutively-placed, 25m transect lines. The belt width was dictated at the beginning of each dive by subjective perceived colony density: 1-m width was used in high density areas, while 2-m width was used in low density areas. Within each 25m transect, five 2.5-meter segments were surveyed (beginning at points: 0, 5, 10, 15, and 20 meters), whereby in each segment, all coral colonies whose center fell within 0.5m of either side of the transect line were identified to the lowest taxonomic level possible (genus or species) and two planar size metrics were collected: maximum diameter and diameter perpendicular to the maximum diameter. In addition, the extent of mortality, both recent and old, was estimated for each colony. Observers paid special attention to identifying as best as possible the extent of the former live colony. When a coral colony exhibited signs of disease or compromised health, additional information was recorded including type of affliction (bleaching, skeletal growth anomaly, white syndrome, tissue loss other than white syndrome, trematodiasis, necrosis, other, pigmentation responses, algal overgrowth, and predation), severity of the affliction (mild, moderate, marked, severe, acute), as well as photographic documentation and sometimes tissue samples. Tissue samples were catalogued and fixed in buffered zinc-formalin solution for further histopathological analyses. Raw survey data included species presence and relative abundance, colony counts per taxon, size (width and length), mortality, predation, and health status. A surveyed area was ranging from 10m2 to 25m2 per site.

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The data is the 25 hour running average of the zonal component of ocean surface currents derived from High Frequency Radio-derived measurements. THIS IS AN EXPERIMENTAL PRODUCT: intended strictly for scientific evaluation by professional marine scientists.

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The purpose of this report is to create a baseline inventory of all nonmotorized trails on McNary National Wildlife Refuge. Trails in this inventory are eligible for funding under the Refuge Roads Program SAFETEALU. The report describes all the attributes e.g., location, surface type, condition, distance of trails in the FWS asset inventory.

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The SeaWiFS instrument was launched by Orbital Sciences Corporation on the OrbView-2 (a.k.a. SeaStar) satellite in August 1997, and collected data from September 1997 until the end of mission in December 2010. SeaWiFS had 8 spectral bands from 412 to 865 nm. It collected global data at 4 km resolution, and local data (limited onboard storage and direct broadcast) at 1 km. The mission and sensor were optimized for ocean color measurements, with a local noon (descending) equator crossing time orbit, fore-and-aft tilt capability, full dynamic range, and low polarization sensitivity.

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The S-band Profiler Raw dataset was saved in two data formats: netCDF and a proprietary Vaisala SPC format. The numeric values in both formats are exactly the same. The S-band Profiler Raw dataset in the proprietary Vaisala SPC format was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma April-June 2011 and consists of uncalibrated Doppler velocity spectra data in units of relative power return. The S-band 2.8 GHz profiler points vertically and measures the backscattered power from raindrops and ice particles as precipitating cloud systems pass overhead. The profiler processes radar pulses during a 7-second dwell before calculating and saving uncalibrated Doppler velocity spectra at each range gate that were separated by 60-meters in the vertical. Data collected during each hour are saved in two files. All precipitation mode profiles are saved in one hourly data file and all attenuated mode profiles are saved in another hourly data file. After calibration, calibrated data can be obtained from the S-band Original Dwell and Minute datasets. Specialized read software may be purchased from Vaisala.

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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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This data set contains sensitive biological resource data for whales, seals, walruses, and polar bears for the North Slope of Alaska. Vector polygons in this data set represent marine mammal distribution and locations of haul-out sites. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for North Slope, Alaska. 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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The objective of this classification is to provide the BOREAS investigators with a data product that characterizes the land cover of the NSA. A Landsat-5 TM image from 20-Aug-1988 was used to derive this classification. A standard supervised maximum likelihood classification approach was used to produce this classification.

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Provide high density LiDAR elevation data map of Sumter County, SC. Provide Bare Earth DEM (vegetation removal) of Sumter County, SC.

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These data represent data collected from the Shipboard Environmental (data) Acquisition System (SEAS), a program developed by National Oceanic and Atmospheric Administration (NOAA) to provide accurate meteorological and oceanographic data in real time from ships at sea through the use of satellite data transmission techniques. The system transmits data through either the Geostationary Operational Environmental Satellite (GOES) or the International Maritime Satellite Organization (INMARSAT C) satellites to NOAA for use in weather, climatological and ocean models. NOAA is actively participating in an international effort to increase the number of subsurface temperature observations in support of global oceanographic and climate studies. NOAA's Expendable Bathythermograph (XBT) program, SEAS, currently supports about 80 Voluntary Observing Ships (VOS). SEAS XBT data are archived by the National Oceanographic Data Center (NODC) on a weekly basis.