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NASA is developing algorithms and methodologies for efficient air-traffic management. Several researchers have adopted an optimization framework for solving problems such as flight scheduling, route assignment, flight rerouting, nationwide traffic flow management (TFM) and dynamic airspace configuration. Computational complexity of these problems have led investigators to conclude that in many instances, real time solutions are computationally infeasible, forcing the use of relaxed versions of the problem to manage computational complexity. The primary objective of the proposed research is to accelerate optimization algorithms that play central roles in NASA's ATM research, by parallel implementation on emerging high performance computing (HPC) hardware. The Phase I R&D effort implemented a Simplex-based Dantzig-Wolfe (DW) decomposition solver that exploits both coarse-grain and fine-grain parallelism in the sub-problem and master iterations of the DW decomposition. The implementation also exploits the sparsity in the problems, to manage both memory requirements and run-times for large-scale optimization problems. This parallel implementation was used to solve a Traffic Flow Management (TFM) problem with 17,000 aircraft (linear program with 7 million constraints), in 15 seconds. The implementation is 30? faster than the exact same code running on the CPU. It is also 16? faster than the NASA's current solution that implements parallel DW decomposition using the GNU Linear Programming Kit (GLPK) on an 8-core computer with hyper-threading. Based on the promising Phase I results, the Phase II R&D effort will explore Mixed Integer Linear Programming (MILP) methods to solve optimization problems arising in the terminal area and on the airport surface, in addition to DW decomposition for the nationwide TFM problem. Phase II work will develop operational prototypes of the algorithm implementations on HPC hardware, and deliver them to NASA for further evaluation.

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Terrain data, as defined in FEMA Guidelines and Specifications, Appendix N: Data Capture Standards, describes the digital topographic data that was used to create the elevation data representing the terrain environment of a watershed and/or floodplain. Terrain data requirements allow for flexibility in the types of information provided as sources used to produce final terrain deliverables. Once this type of data is provided, FEMA will be able to account for the origins of the flood study elevation data. (Source: FEMA Guidelines and Specifications, Appendix N, Section N.1.2). NAD83 State Plane Alabama East Zone FIPS 1010 is the projection and coordinate system for this project.

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The ALTUS Cloud Electrification Study (ACES) was Based at the Naval Air Facility Key West in Florida. ACES researchers in August 2002 conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, it allowed scientists to collect cloud electrification data for the first time from above the storm from it's birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely, and testing new aircraft technology. This dataset consists of data collected from seven instruments: the Slow/Fast antenna, Electric Field Mill, Dual Optical Pulse Sensor, Searchcoil magnetometer, Accelerometers, Gerdien Conductivity Prove, and the Fluxgate Magnetometer. Data consists of sensor reads at 50HZ throughout the flight from all 64 channels.

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Model of the Mars Global Surveyor spacecraft. Polygons: 19314 Vertices: 10236

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To fully realize the advances NASA has made in x-ray microcalorimeter detectors, x-ray filters with enhanced out-of-band performance are needed. Blocking filters are essential components in these cryogenic detectors to minimize thermal load while admitting the soft x-rays of interest. Theoretically, an aluminum coating 15-20 nm thick, on each filter in the stack will provide the necessary IR attenuation. In practice, coatings this thin are less optically dense than predicted, and thickness must be nearly doubled to achieve sufficient thermal blocking. This degrades performance. The proposed innovation is to improve the thin aluminum blocking layer to increase its optical density and thermal rejection performance. Preliminary work suggests it is possible to increase the visible and IR light rejection of aluminized polyimide by a factor of 3 or more. In Phase 1, test samples will be made through altered processes. Film microstructural changes, x-ray, IR, and visible light transmission will be measured to identify process parameters that enhance IR blocking. Once optimized, coatings will provide equivalent IR blocking with thinner layers, enhancing mission throughput for the sounding rockets XQC and Micro-X in the near term and provide needed technology enhancements to make possible future missions such as IXO.

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Contains information from VIP, VIPR, and CHIP.

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Provides a listing of the States and privately owned entities designated and/or delegated by the Grain Inspection, Packers and Stockyards Administration (GIPSA), Federal Grain Inspection Service (FGIS) to provide official inspection and/or weighing services under the authority of the United States Grain Standards Act (USGSA). Only entities listed in this Directory are recognized as Official Agencies (OAs) by FGIS.

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TASK NAME: New England CMGP Sandy Lidar LiDAR Data Acquisition and Processing Production Task USGS Contract No. G10PC00057 Task Order No. G13PD00796 Woolpert Order No. 073667 CONTRACTOR: Woolpert, Inc. This data set is comprised of LiDAR point cloud data, raster DEM, hydrologic 3-d breaklines, raster intensity, survey control, project tile index, and project data extent which encompasses approximately 2120 square miles along with a 100 meter buffer over several areas in central to eastern Massachusetts. The coverage of the data includes slivers of areas that were missed by previous lidar acquisitions. LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The LiDAR systems collect data point clouds that are used to produce detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7m. The final products include files containing classified LAS, one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and 8-bit intensity images. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, control data, tile index, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Collected swath files that were that were larger than 2GB were provided in multiple sub-swath files, each less than 2GB. The LiDAR data was provided in 1,500 meters x 1,500 meters tiles in the UTM projection. The LiDAR tile file names were derived from the southwest corner of each tile and are named based on the US National Grid. Product specifics can be found in the processing description section of this file. Ground conditions: No snow; Leaf off. The tide window requirements for the lidar data acquisition; Tidally impacted waters within the AOI are expected to be acquired at Predicted MLW +- 2 hours exclusive of neap tide.; The bare earth DEMs along the coast may have a variance in the water heights due to temporal differences during the lidar data acquisition and will be represented in DEM as a seam-like anomaly. This is especially true in areas of tidal flats. One coastal elevation was applied to entire project area. Due to differing acquisition dates and thus differing tide levels there will be areas in the DEM exhibiting what appears to be "digging" water features. Sometimes as much as approximately 1 meter. This was done to ensure that no coastal hydro feature was "floating" above ground surface. This coastal elevation will also affect connected river features wherein a sudden increase in flow will be observed in the DEM to accommodate the coastal elevation value; During Hydrologic breakline collection, Woolpert excluded obvious above-water piers or pier-like structures from the breakline placement. Some features extend beyond the apparent coastline and are constructed in a manner that can be considered an extension of the ground. These features were treated as ground during classification and subsequent hydrologic delineation. In all cases, professional practice was applied to delineate what appeared to be the coast based on data from multiple sources; Cranberry bogs are existent in the project. These are filled with shallow water for short periods during the year but were not collected as hydrologic features; Due to the many substructures and the complexity of the urban environment, interpolation and apparent "divots" (caused by tinning) may be evident in the surface of the DEM. Temporal differences from lidar collects in and around hydrologic features may manifest in the DEM as differing water levels. In all cases, professional practice was applied to best represent the topography. Data for the task order is referenced to the UTM Zone 19N, North American Datum of 1983 (2011), and NAVD88, in meters. However, a small portion of the AOI crossed into UTM 18 and this data is referenced to the UTM18N, North American Datum of 1983 (2011), and NAVD88 GEOID12A, in meters

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This digital dataset contains the name and location for the diversions from the surface-water network for the Central Valley Hydrologic Model (CVHM). 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 simulation is referred to here as the 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. The CVHM includes complex surface-water management processes. The hydrology of the present-day Central Valley and the CVHM model are driven by surface-water deliveries and associated groundwater pumpage. The Streamflow Routing Package (SFR1) is linked to MODFLOW-FMP to facilitate the simulated conveyance of surface-water deliveries. If surface-water deliveries do not meet the farm-delivery requirement, the FMP invokes simulated groundwater pumping to meet the demand. The surface-water network represents a subset of the entire stream network in the valley. Even so, it covers about 3,000 kilometers of surface-water and is simulated using 208 stream segments that represent 2244 stream reaches, with 43 inflows and 66 diversion locations providing 64 routed and 41 non-routed deliveries. Most of these inflows are regulated by dams and most of the deliveries are conveyed through an extensive canal network. The routed deliveries are conveyed through the simulated surface-water network, while the non-routed delivery conveyance typically occurs through small canals or diversion ditches and are not directly simulated. Much of the surface-water diversion and delivery information was compiled by the California Department of Water Resources (DWR) for 21 water-balance subregions (WBSs) covering the valley floor (C. Brush, California Department of Water Resources, written commun., February 21, 2007). 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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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 and 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 A-16, p. 13)

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DOH Environmental Indicators

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NASA's Heat Capacity Mapping Mission (HCMM) project collected Earth data in the visible and thermal bands between April 1978 and September 1980. This was an experimental satellite program which observed day and night thermal conditions of Earth's surface. The black and white scenes cover large areas (approximately 500,000 square km at a resolution of 500 meters for the visible channel and 600 meters for the thermal channel. The scale of the imagery is 1:400,000. Areas covered include parts of the United States, western Canada, western Europe, northern Africa, and eastern Australia. The HCMM Digital Source dataset includes approximately 2400 scenes of recovered digital data with a resolution of 100 dpi. The original scenes are 715 km wide and vary in length from 715 to 3,000 km. The file size is 3-13 MB depending on the length of the scene and is stored in a TIFF format. The HCMR transmitted analog data in real time to selected receiving stations. The radiometer was similar to the surface composition mapping radiometer (SCMR) of Nimbus 5 (72-097A). The HCMR had a small instantaneous geometric field of view of 0.83 mrad, high radiometric accuracy, and a wide 716-km swath coverage on the ground so that selected areas were covered within the 12-h period corresponding to the maximum and minimum of temperature observed. The spacecraft was spin stabilized at a rate of 14 rpm. The HCMM circular sun-synchronous orbit allowed the spacecraft to sense surface temperatures near the maximum and minimum of the diurnal cycle.

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The total documented retrieved harvest at Wales for the spring of 1982 was 119 walruses Odobenus rosmarus, including 43 adult males, 58 adult females, 15 adults of unknown sex, and 3 calves. The number of animals shot and lost was not determined. Lower canine teeth unaccompanied by soft tissues were obtained from 90 walruses, reproductive tracts with teeth from 9 females, and stomachs with teeth were collected from 3 animals. The median age of 43 adult male walruses whose teeth were examined was 19 years. The median age of 58 adult females was 13 years. The number of manhours spent per walrus retrieved was 8.32.

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The nesting population of greater sandhill cranes on Malheur National Wildlife Refuge, Oregon has declined from 236 pairs in 1971 to 181 pairs in 1986. Nesting studies conducted from 1966 to 1936 have repeatedly demonstrated that the primary limiting factor for cranes nesting on Malheur Refuge is the predation of eggs by ravens, raccoons and coyotes, and the predation of prefledged chicks by coyotes. On 21 January 1986, Malheur Refuge staff assisted by U.S. Department of Agriculture Animal and Plant Health Inspection Service employees began controlling predators on approximately 27.000 acres 14 of Malheur Refuge. Control efforts ceased on 18 August, the end of the crane fledging period. One hundred sixtysix coyotes were removed by the following methods: aerial gunning 51, trapping and snares 27, calling and shooting 19, and denning 3. An estimated 44 ravens were removed, using 44 dozen chicken eggs injected with DRC1339. Eleven raccoons were removed, 10 by hunting with dogs and one was caught in a snare. Overall crane production was 50 chicks, the highest count since 1970. Recruitment of crane chicks in the predator control area was 14.9, the highest ever recorded on the refuge. In the nonpredator control area, the recruitment rate was 54 below the 16year average of 6.4. The 1986 nesting data compared to prior years Studies, strongly suggests that approximately 1718 additional crane chicks reached flight stage that would not have survived without predator control. Additional nesting studies of Canada geese and ducks also showed major increases in nesting success in the predator control areas. The objectives of the 1986 effort was to have a nesting success 75, fledging success 25 and recruitment 15 in the predator control area. the actual outcome was 70, 29.9 and 14.9 respectively. Based on these results of the 1986 predator control effort was judged a success. It is recommended that control efforts for1987 be expanded to include all the key crane nesting areas on the refuge 85,000 acres as outlined in the 25 November Environmental Assessment entitled: Alternatives to Enhance the Production of Greater Sandhill Cranes on Malheur National Wildlife Refuge, Oregon.

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The notices and orders concerning the institution and/or settlement of administrative proceedings issued by the Securities and Exchange Commission in 2009.

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HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser. It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning regulations/requirements , enhanced National Highway System, Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.

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A Wireless Smart Sensor System for Monitoring EMG Signals Project

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Levels and potential effects of pesticides and metals on fish and wildlife of the lower Gila River and associated agricultural drainage canals in Maricopa County, Arizona, were investigated in 199495. Residues of DDT, an insecticide that has been suspended from use in Arizona for 25 years, are still present in fish, turtles, and birds. DDT was detected in 86, 62, and 50 of the fish collected from Buckeye Canal, Gillespie Dam, and Allenville, respectively. DDT was recovered in all turtles from Gillespie Dam, and in all blackcrowned nightherons from Painted Rock. DDE residues in fish from the lower Gila River drainage were the highest in the United States associated with agriculturally applied pesticides. Although DDE residues declined over the past decade; current levels remain extremely high. DDE was present at concentrations known to impact biotic resources. Fish collected from agricultural drainage canals generally contained higher DDE residues than fish from the river. DDE residues were highest in common carp Cyprinus carpio from Buckeye Canal 11.17 ugg wet weight, an agricultural drain and tributary to the Gila River. The overall frequency of occurrence of organochlorine compounds is declining, however, as only 6 compounds were detected in samples collected in 199495 versus 16 recovered in samples collected from the same sites in 1985. Residues of all other pesticides and PCBs were below levels associated with adverse effects on fish and wildlife. Concentrations of 11 potentially toxic metals were detected in fish. Carp collected near Allenville had the second highest aluminum concentration ever recorded in Arizona. Copper exceeded the national 85th percentile in 31 of 48 samples. Because of its occurrence at relatively high levels and its propensity to interact with other compounds and elements, copper remains a contaminant of concern. Concentrations of most metals remained unchanged from 1985 to 199495. Spiny softshell turtles Trionyx spiniferus generally contained higher organochlorine and metal concentrations than fish. DDE and most metals were highest in turtles from the middle river sampling sites. Residues of DDE and chlordane declined by about onehalf from 1985 to 199495. PCB, dieldrin, and DDT levels remained relatively constant over the past decade while copper, nickel, vanadium, and zinc concentrations declined. Levels of arsenic, mercury, and selenium in turtles collected in 199495 were statistically similar to concentrations in turtles collected in 1985. Whiptail lizards Cnemodophorus spp. collected from areas adjacent to the lower Gila River contained higher organochlorine residues than lizards collected from other Arizona locations. DDE and selenium exceeded toxic threshold levels that could be hazardous to avian predators that consume a large proportion of lizards in their diet. Mean mercury concentrations increased from 1985 to 199495 and were about 3 to 10times higher in lizards collected in the Gila River basin than in lizards from other Arizona locations. DDE, mercury, and selenium pose a significant environmental challenge to blackcrowned nightherons Nycticorax nycticorax and possibly to other avian species nesting and wintering on the lower Gila River. All nightheron and two of four redwinged blackbird Agelaius phoeniceus carcasses contained 3.4 ugg wet weight DDE; the level associated with impaired reproduction. Onehalf of the blackbird carcasses contained sufficiently high DDE residues to represent a hazard to predatory birds that regularly feed on blackbirds. Mercury concentrations in five of six nightheron livers approached or exceeded the toxic threshold and the maximum concentration, 28.07 ugg dry weight, was 4.5times higher than the toxic threshold. Selenium concentrations in nightheron livers 13 18 ugg dry weight indicate that adults are not at risk of selenium intoxication, but selenium impacts on reproduction are possible.

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The 2013 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based shapefiles while others are available only as state-based files.

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This CCP outlines a 15year plan for the management of Lower Rio Grande Valley and Santa Ana NWRs. The general topics addressed in this plan include: wildlife protection, preservation and restoration of habitats, visitor services, protection of natural and cultural resources, water management, invasive species management, fire management, and Refuge administration. Animals of special interest on the Refuge include waterfowl and migratory birds. Emphasis will be placed on protectingrestoring wetland habitats. The plan also describes the vision, purpose, and goals of the Refuge. A number of projects are proposed in this plan to help meet the Refuges goals. These projects include acquiring more Refuge land, conduct wildlife inventories, increasing law enforcement, and removing old buildings.

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This shapefile represents the seasonal summer depth profile to reach water at a temperature of 14ºC. Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer than 8ºC, which has been established as a minimum value of interest for this study. Water at temperatures between 8ºC and 20ºC can be used to supplement air conditioning processes, or to reject heat from many other low temperature industrial processes. Water temperatures above 20ºC were not considered for this investigation as cost savings begin to break down as sea water temperature nears ambient temperatures. Depth profiles for three water temperatures of interest: 8ºC, 14ºC and 20ºC were established to aid selection of optimal sites for sea water cooling. A cool shallow resource just off the coast where a need may exist presents significant opportunity for energy and cost savings. Data were processed and converted to shapefile format by NREL for the [Ocean Thermal Extractable Energy Visualization](http://www.osti.gov/bridge/purl.cover.jsp?purl=/1055457/1055457.pdf) ### License Info This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

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The purpose of this Conservation Assessment is to summarize current knowledge concerning the status, distribution, ecology and population biology of the common loon, as well as threats to upper Great Lakes loon populations. This document is intended to inform the development of a Conservation Strategy for continued loon viability in the region. Emphasis has been placed upon information and issues directly relevant to loon populations in Michigan, Minnesota and Wisconsin. In the upper Great Lakes region, the common loon Gavia immer is a designated Regional Forester Sensitive Species on the Ottawa, Hiawatha and HuronManistee National Forests in Michigan. Species occurrence is documented but not designated as Sensitive on the ChequamegonNicolet National Forest in northern Wisconsin and the Superior and Chippewa National Forests in northern Minnesota.

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The Medicare Health Outcomes Survey (HOS) limited data sets (LDS) are comprised of the entire national sample for a given 2-year cohort (including both respondents and non-respondents), and contain all of the HOS survey items. The HOS LDS files include Medicare health plan identifiers, as well as several additional variables describing plan characteristics. They also contain protected beneficiary-level health information such as date of birth, however, specific direct person identifiers (i.e. name and health insurance claim number) are not included in the LDS files.

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The Public Health Activities and Services (PHAS) data measures what public health does in the state and how much of it is done across all 35 local health agencies and the Department of Health in Washington State each year. Activities measured fall under the following broad categories: Access To Care Assessment Communicable Disease Communicable Disease: Immunization Emergency Preparedness Environmental Health Healthy Families Prevention and Wellness More PHAS data is available at https://fortress.wa.gov/doh/phip/PHIP/Home.mvc

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The surficial bed-sediment facies, herein after referred to as the sediment facies, quantitatively describes the dominant sediment substrate on the surface of the river bed. Sediment facies categories were based on the grain size distribution of Wentworth (1922) which included the following ranges or combination of ranges: gravel (2-64mm), sand (0.063-2mm) and silt/clay (less than 0.063mm). An underwater video monitoring system UVMS was used to collect visual samples of the sediment facies determine the type and dominant size of the substrate, and record the geographical position of the substrate. UVMS data was collected intermittently at each site from 2006 – 2012.