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This data set was collected as part of the Chukchi Sea Environmental Studies Program (CSESP), a multi-year, interdisciplinary ecological study focused on areas in outer continental shelf oil and gas leases in the northeastern Chukchi Sea. In 2008 when the program began, two 30 x 30 nautical mile study area boxes were developed around areas of interest to ConocoPhillips and Shell. The ConocoPhillips study area (named Klondike), and the Shell study area (named Burger) became the focus of data collection. Data were collected from these two study areas again in 2009. Then, in 2010, Statoil joined the program, and a third study area, Statoil, was created and sampled as well as Klondike and Burger. In 2011, the scope of the study area was expanded to include the Hanna Shoal Regional Study Area. The CSESP interdisciplinary studies include acoustic monitoring, baseline chemistry, benthic ecology, chemical oceanography, fisheries ecology, marine mammal ecology, physical oceanography, plankton ecology and nutrients, and seabird ecology data in Comma Separated Value formatted files.

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Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectances, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the MODIS daily vegetation indices. The MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products and provides continuity for time series historical applications. MODIS also includes a new Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions. The EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectances that have been masked for water, clouds, heavy aerosols, and cloud shadows. Global MOD13Q1 data are provided every 16 days at 250-meter spatial resolution as a gridded level-3 product in the Sinusoidal projection. Lacking a 250m blue band, the EVI algorithm uses the 500m blue band to correct for residual atmospheric effects, with negligible spatial artifacts. Vegetation indices are used for global monitoring of vegetation conditions and are used in products displaying land cover and land cover changes. These data may be used as input for modeling global biogeochemical and hydrologic processes and global and regional climate. These data also may be used for characterizing land surface biophysical properties and processes, including primary production and land cover conversion.

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As HEDP systems have proven worthy of further consideration by approaching NASA's goals for N+2 and N+3 energy consumption, noise, emission and field length, conceptual design tools to expedite the design cycle are desired. During this Phase I effort ESAero will progress the development of the hybrid-electric distributed propulsion (HEDP) TOGW tool developed in the previous Phase I SBIR (NNX13CC24P) by producing a physics-based wing structure analysis and weight estimation module. The layout of the structural members will be estimated using heuristic trends and top-level design assumptions, and the members will be sized according to classical beam theory. The interaction between HEDP configuration and aircraft weight is important to understand, as one primary advantage of the configuration is the ability to place smaller propulsors at virtually any location on the aircraft, leveraging pre-existing airframe supports. By delving into the structural analysis of HEDP designs, progress can be made toward determining how sensitive aircraft structural weight is to propulsion configuration. This new module will replace the modified, empirically based equations used in the current TOGW framework. By incorporating this capability, the novel architectures and configurations of HEDP systems, as well as other advanced aircraft concepts, could be analyzed and sized with greater fidelity. Furthermore, this effort may start to unravel concerns over other structural members paving the way for further investigation in a Phase II. Other potential Phase II tasks may include integrating this structural analysis and weight estimation into other conceptual design tools, such as OpenVSP.

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As marine debris levels continue to grow worldwide, identifying sources, composition, and distribution of debris (as well as potential effects) becomes increasingly important. We investigated the composition and abundance of man-made, benthic marine debris at 1,347 randomly selected stations along the U.S. West Coast during the 2007 - 2008 West Coast Groundfish Bottom Trawl Surveys. Anthropogenic debris was observed in 469 tows at depths of 55 - 1,280 m. Plastic and metallic debris occurred in the greatest number of hauls, followed by fabric and glass. Mean density was 67.1 items km-2 throughout the study area, but was significantly higher south of 3600N latitude. Mean density significantly increased with depth, ranging from 30 items km-2 in shallow (55-183 m) water to 128 items km-2 in the deepest depth stratum (550-1,280 m). The higher densities at depth, as well as the types of debris, suggest a marine rather than land-based origin, although accumulation of debris from shallower or land-based sources may partially explain the observed distribution pattern. Debris densities observed along the U.S. West Coast were comparable to those seen elsewhere, and provide a valuable backdrop against which future accumulations can be compared. Excel Marine Debris Spreadsheet

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This part of DS 781 presents data for the bathymetric contours for several seafloor maps of the Offshore of Bodega Head map area, California. The vector data file is included in "Contours_OffshoreBodegaHead.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreBodegaHead/data_catalog_OffshoreBodegaHead.html. 10-m interval contours of the Offshore of Bodega head map area, California, were generated from bathymetry data collected by California State University, Monterey Bay (CSUMB) and by Fugro Pelagos. Mapping was completed between 2007 and 2010, using a combination of 200-kHz and 400-kHz Reson 7125, and 244-kHz Reson 8101 multibeam echosounders, as well as 468-kHz SEA SWATHPlus interferometric system. These mapping missions combined to collect bathymetry from about the 10-m isobath to beyond the 3-nautical-mile limit of California State Waters. Bathymetric contours at 10-m intervals were generated from a bathymetric surface model. The most continuous contour segments were preserved while smaller segments and isolated island polygons were excluded from the final output. Contours were smoothed via a polynomial approximation with exponential kernel (PAEK) algorithm using a tolerance value of 60 m. The contours were then clipped to the boundary of the map area. These data are not intended for navigational purposes.

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The Oregon State University Marine Geology Repository (OSU-MGR) is located in the College of Earth, Ocean and Atmospheric Sciences (CEOAS). The OSU-MGR is a National Science Foundation (NSF) supported curation facility for marine rock and sediment samples. The OSU-MGR contains over 41,000 cubic feet of refrigerated space and 1,100 cubic feet of -25 degrees C cold storage and is well equipped for preservation and distribution of marine geological samples for scientific research and education. The OSU-MGR is a partner in the Index to Marine and Lacustrine Geological Samples (IMLGS) database. As a partner repository, OSU sends data and information related to the OSU sample collection to NCEI for long-term archive, and for discoverability via the IMLGS.

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International Satellite Cloud Climatology Project (ISCCP) TIROS Operational Vertical Sounder (TOVS) Product in Native (NAT) Format

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Specialized Capabilities FCC provides specialized forensic analysis of samples that fall within FDA jurisdiction. These activities include product tampering, counterfeiting of pharmaceuticals, detection of contaminants in foods and pharmaceuticals, economic fraud related to foods and pharmaceuticals and illegal drugs. FCC scientists perform original research to develop methodology to identify poisons and other hazardous materials in pharmaceutical and food matrices. They conduct research to investigate the physical and chemical characteristics and effects of poisons on products regulated by the Agency, and investigate the effects of the product’s matrix on the stability and toxicity of purposely added poisons. The FCC has developed unique capabilities, including complete chemical fingerprinting of poisons, glass, pharmaceuticals, food products and product packaging materials. The Center also has established databases in many areas, such as bulk pharmaceutical ingredients, illegal drugs, product packaging materials, and poisons. FCC scientists have taught many ORA training courses, including Elemental Analysis, Forensics, Update Training for Supervisors, Modern Analytical Methods, Laboratory Procedures and Techniques for Chemists, Advanced Chromatography, Regulatory Science, and New Hire Courses. FCC has provided specialized training in forensics to ORA chemists and to international scientists. The FCC staff interacts with regulatory scientists regarding improvements in methodology and regularly communicates with field and OCI investigators to learn how FCC can best support their activities. Notable methods development: Deepwater Horizon Melamine

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This part of DS 781 presents data for the geologic and geomorphic map of the Offshore of Bodega Head map area, California. The vector data file is included in "Geology_OffshoreBodegaHead.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreBodegaHead/data_catalog_OffshoreBodegaHead.html. The morphology and the geology of the Offshore of Bodega Head map area result from the interplay between tectonics, sea-level rise, local sedimentary processes, and oceanography. The Offshore of Bodega Head map area is cut by the northwest-trending San Andreas Fault, the right-lateral transform boundary between the North American and Pacific tectonic plates. From southeast to northwest, this fault extends through Bodega Bay and Bodega Harbor, crosses the Bodega Head isthmus at the mouth of Salmon Creek, and extends in the offshore for about 20 km before passing onland at Fort Ross, about 12 km north of the Offshore of Bodega Head map area. The San Andreas Fault juxtaposes Cretaceous granitic rock on the southwest with the Jurassic, Cretaceous, and early Tertiary Franciscan Complex on the northeast. Uplift of the granitic rock (unit Kg) on the west side of the San Andreas Fault has created extensive, rugged, rocky seafloor, centered offshore Bodega Head and extending northwest for about 15 km, from the western flank of Bodega Bay to the shelf offshore of the mouth of Salmon Creek. At its south and north ends this rocky seafloor extends to water depths of about 40 m and 50 m, respectively where it is onlapped by young sediment (see below); offshore of Bodega Head, the rocky seafloor extends to water depths of 80 m. Northeast of the San Andreas Fault, offshore rocky outcrops of the Franciscan complex (units Kfs, Kjfss, fsr) occur only in the nearshore (water depths less than 15 m). Sediment-covered areas of the offshore part of the map occur in gently sloping (less than about 1 degree) nearshore, inner-, and mid-shelf environments. Sediment supply to the shelf north and west of Bodega Head is predominantly from coastal watersheds including the Russian River (4.5 km north of the map area) and Salmon Creek. Sediment supply to Bodega Bay and the shelf in the southern part of the map area is from small coastal watersheds and estuaries such as Estero Americano and Estero de San Antonio, and most likely from sediment flux out of the mouth of Tomales Bay, located two kilometers south of the map area. Shelf morphology and evolution largely reflects eustacy; sea level has risen about 125 to 130 m over about the last 21,000 years (for example, Lambeck and Chappell, 2001; Peltier and Fairbanks, 2005), leading to broadening of the continental shelf, progressive eastward migration of the shoreline and wave-cut platform, and associated transgressive erosion and deposition. Given present exposure to high wave energy, modern nearshore to inner-shelf sediments are mostly sand (unit Qms) and a mix of sand, gravel, and cobbles (units Qmsc and Qmsd). The more coarse-grained sands and gravels (units Qmsc and Qmsd) are primarily recognized on the basis of bathymetry and high backscatter. Unit Qmsc occurs in two areas: (1) as a linear nearshore bar (water depth less than 10 m) offshore of Salmon Creek - the eastern contact of this unit is queried because of the lack of data in the surf zone; and (2) as a west-trending bar at the north end of Bodega Bay. Unit Qmsd forms erosional lags in scoured depressions that are bounded by relatively sharp contacts with bedrock or sharp to diffuse contacts with unit Qms. These scoured depressions are typically a few tens of centimeters deep and range in size from a few 10's of sq m to more than one sq km. Similar unit Qmsd scour depressions are common along this stretch of the California coast (see, for example, Cacchione and others, 1984; Hallenbeck and others, 2012) where surficial offshore sandy sediment is relatively thin (thus unable to fill the depressions) due to both lack of sediment supply and to erosion and transport of sediment during large northwest winter swells. Such features have been referred to as "rippled-scour depressions" (see, for example, Cacchione and others, 1984) or "sorted bedforms" (see, for example, Goff and others, 2005; Trembanis and Hume, 2011). Although the general areas in which both unit Qmsd scour depressions and surrounding mobile sand sheets occur are not likely to change substantially, the boundaries of the individual Qmsd depressions are likely ephemeral, changing seasonally and during significant storm events. Unit Qmsf lies offshore of unit Qms, consists primarily of mud and muddy sand and is commonly extensively bioturbated. The water depth of the transition from sand-dominated marine sediment (unit Qms) to mud-dominated marine sediment (Qmsf) occurs at depths of about 45 to 50 m except offshore of Bodega Head where seafloor bedrock outcrops extend to depths of 80 m at the outer limit of California's State Waters. The smooth seafloor in the northern part of the map area between water depths of 40 m and 70 m notably includes an about 3-km-wide field of elongate, shore-normal, paired sediment lobes and chutes (unit Qmsl). Individual lobes within the field are as much as 1,000-m long and 150-m wide, and have as much as 2 m of relief above the surrounding smooth seafloor. This sediment-lobe field lies just one kilometer west of the San Andreas Fault and we infer that large earthquakes on this structure generated strong ground motions and slope failures, mobilizing small sediment flows that moved down the gentle slope and were deposited as lobes. Unit Qmsl also occurs as a 250-m-wide field of four discrete lobes and paired arcuate, low-relief scours on the south flank of a west-trending bar in northern Bodega Bay. Map unit polygons were digitized over underlying 2-meter base layers developed from multibeam bathymetry and backscatter data (see Bathymetry--Offshore Bodega Head, California and Backscattter A to C--Offshore Bodega Head, California, DS 781, for more information). The bathymetry and backscatter data were collected between 2007 and 2010. References Cited Cacchione, D.A., Drake, D.E., Grant, W.D., and Tate, G.B., 1984, Rippled scour depressions of the inner continental shelf off central California: Journal of Sedimentary Petrology, v. 54, p. 1,280-1,291. Goff, J.A., Mayer, L.A., Traykovski, P., Buynevich, I., Wilkens, R., Raymond, R., Glang, G., Evans, R.L., Olson, H., and Jenkins, C., 2005, Detailed investigations of sorted bedforms or "rippled scour depressions", within the Martha’s Vineyard Coastal Observatory, Massachusetts: Continental Shelf Research, v. 25, p. 461-484. Hallenbeck, T.R., Kvitek, R.G., and Lindholm, J., 2012, Rippled scour depressions add ecologically significant heterogeneity to soft-bottom habitats on the continental shelf: Marine Ecology Progress Series, v. 468, p. 119-133. Lambeck, K., and Chappell, J., 2001, Sea level change through the last glacial cycle: Science, v. 292, p. 679-686, doi: 10.1126/science.1059549. Peltier, W.R., and Fairbanks, R.G., 2006, Global glacial ice volume and Last Glacial Maximum duration from an extended Barbados sea level record: Quaternary Science Reviews, v. 25, p. 3,322-3,337. Trembanis, A.C., and Hume, T.M., 2011, Sorted bedforms on the inner shelf off northeastern New Zealand-Spatiotemporal relationships and potential paleo-environmental implications: Geo-Marine Letters, v. 31, p. 203-214.

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The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. 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 Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information 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).

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This coverage includes arcs, polygons, and polygon labels that describe the generalized geologic age and rock type of surface outcrops of bedrock of the Australia and New Zealand area (Australia, Fiji, New Caledonia, New Zealand, Tonga and Vanuatu; and portions of Indonesia, Papua New New Guinea and Solomon Islands). It also includes shorelines and inland water bodies.

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Economic data collected for years 1998, 2001, 2004, and 2005 and onward for the BSAI Crab Economic Data Report (EDR). Reporting is required of any owner or leaseholder of a vessel or processing plant, or a holder of a registered crab receiver permit, that harvested, processed, custom processed, or obtained custom processing for rationalized crab in specified Bering Sea and Aleutian Islands (BSAI) crab fisheries during the prior calendar year.

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This Comprehensive Conservation Plan CCP was written to guide management on AlamosaMonte Vista NWR Complex for the next 15 years. This plan outlines the Complex vision and purpose and describes how AlamosaMonte Vista NWR Complex will contribute to the overall mission of the Refuge System. The plan provides an introduction to the Complex an overview of the CCP process, a summary of Refuge resources, information about the management direction, and strategies for implementing monitoring. Key planning issues include: wildlife, naturalness, water, public use, weeds, and elk.

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NLCD 1992-2001 Retrofit Change Product What is the NLCD 1992/2001 Retrofit Land Cover Change Product? Although one of the guiding principles of the NLCD 2001 design was to maintain as much compatibility with NLCD 1992 as possible, there were enough differences in the classifications to confound any direct comparison of the two datasets. Taking into consideration inherent differences in source image seasonality and georegistration, mapping methodologies, classification accuracy, and map legends, it became clear that a direct post classification comparison of NLCD 1992 and NLCD 2001 would be subject to unavoidable error.

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This data set presents key demographic characteristics of Californians Age 60 and Over. This data set can be viewed by county or Area Agency on Aging Planning and Services Area. Key sociodemographic variables include: lives alone, low income, minority/non-minority, non-English speaking, and living in a rural area. This data is based on multiple federal and state sources.

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Redstone Test Center provides an expert workforce and technologically advanced test equipment to conduct the rigorous testing necessary for U.S. Army acquisition and airworthiness decision makers to equip our soldiers with mission-effective and safe aviation equipment. Our Aviation testers are comprised of diverse and multi-disciplined pilots, engineers, and technical personnel who work with a fleet of aircraft to provide government and commercial customers complete developmental flight test and test support services. To support the fleet of aircraft and more than 5,000 hours of flight testing performed each year, RTC maintains a maintenance and logistics capability, over 140 thousand square feet of hangar space, a flight operations center and a flight test control center. While much of RTC aviation flight test operations are conducted at Redstone Arsenal, on many occasions test activities are executed at remote locations throughout the United States to include Yuma Proving Grounds, Ariz.; Eglin Air Force Base, Fla.; and Duluth, Minn. when specific capabilities or climatic conditions are required.

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This project is to support secure file transfers and cyberfusion platform server administration.

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The purpose of this report is to summarize the baseline inventory of all nonmotorized trails on National Wildlife Refuges in Colorado. 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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VIP Sensors proposes to develop a Fiber Optic Pressure Sensor Array System for measuring air flow pressure at multiple points on the skin of aircrafts for Flight Load Test applications. The array consists of multiple micro-miniature optical MEMS pressure sensors interconnected by a common optic fiber to an Interrogation Module located inside the airplane. The proposed optical pressure sensors are practically flat, light weight, fully passive (no electrical power), and EMI/RFI immune, they exhibit superior performance regarding accuracy, dynamic range and noise. They are inherently self identifiable; the interrogation system knows what data belongs to what sensor. The proposed sensor array technology is applicable to different types of optical sensors (accelerometers, strain, temperature, etc). Each sensor in the array is designed to work at preset optical wavelengths; they are read by the Interrogation Module using Wave Division and Time Division Multiplexing. Testing of aircrafts requires a large numbers of sensors. Each sensor needs four to six wires to interconnect to signal conditioners. For large measuring systems, this means very large numbers of wires that add weight and occupy space. The proposed FO sensor array system not only has the potential to significantly improve pressure measurements for Flight Load Testing, but its novel technology of micro-miniature networking sensors will benefit many other aircraft ground and flight testing applications.

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The Floodplain Mapping study deliverables depict and quantify the flood risks for the study area. 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 Redelineation flood risk boundaries are derived from the engineering information 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).

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The Location Affordability Index is an indicator of housing and transportation costs at the neighborhood level. It gives the percentage of a given family's income estimated to be spent on housing and transportation costs in a given location for eight different household profiles. It is calculated using actual and modeled data for Census block groups in all 942 Combined Base Statistical Areas, which cover 94% of the U.S. population.

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NOAA Ship Ferdinand Hassler Realtime Data updated every hour

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Graphene's tightly bonded impermeable single atomic layer of carbon offers unrivalled potential for lightweight flexible gas barrier applications. Graphene has been shown to be conductive, durable, flexible, and impermeable, ideal for wall material of inflatable space structures. SMI proposes to demonstrate the material as the principal material in impermeable gas/vacuum barrier fabrics for expandable space habitats and structures, and develop a low cost roll-to-roll production process. In Phase I, SMI produce 10x10cm graphene films and characterize them and refine the process for web production. SMI will also design a flexible, lightweight graphene-based multilayer barrier structure for space applications. In Phase II, the graphene roll-to-roll production will be developed and graphene-based flexible multi-layer impermeable barriers will be demonstrated.

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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 earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12000.

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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.