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The Grayscale Shaded Relief of Puerto Rico and the U.S. Virgin Islands map layer is a 100-meter resolution grayscale shaded relief image of Puerto Rico and the U.S. Virgin Islands, in an Albers Equal-Area Conic projection. Shaded relief was created with the ArcGIS Hillshade command, with 45-degree sun elevation, 315-degree azimuth, and a z-factor of 1.0. Very dark and very light shades both represent steeper terrain. Mid-range grays represent flatter terrain. The grayscale shaded relief data were derived from the National Atlas 100-meter resolution elevation data. The elevation data were derived from 2012 National Elevation Dataset (NED) data and show the terrain of Puerto Rico and the U.S. Virgin Islands at a resolution of 100 meters. The NED is a raster product assembled by the U.S. Geological Survey, designed to provide national elevation data in a seamless form with a consistent datum, elevation unit, and projection. Data corrections made in the NED assembly process minimize artifacts, permit edge matching, and fill sliver areas of missing data. More information on NED can be found at .

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FY2009 VA Budget Submission.

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FY 2003 Franchise Fund Annual Report CFO Letter

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A genetic analyses of samples from the Chinook salmon (Oncorhynchus tshawytscha) bycatch from the 2007-2013 Bering Sea-Aleutian Island and Gulf of Alaska trawl fisheries for walleye pollock (Gadus chalcogrammus) were undertaken to determine the overall stock composition of the bycatch. Samples were genotyped for 43 single nucleotide polymorphism (SNP) DNA markers and results were estimated using the Alaska Department of Fish and Game (ADF&G) SNP baseline.

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Patented technologies on plant genes that are available for licensing

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Higher detection efficiency and better radiation tolerance imagers are needed for the next generation of EUV instruments. Previously, CCD technology has demonstrated EUV instability as well as degraded performance in radiation environments. Fortunately, CMOS imager technology has evolved to the stage that it is now feasible to fabricate multi-pixel arrays of diodes that can be absolutely calibrated and that are robust against radiation damage. CMOS sensors are less susceptible to radiation damage of the type that would disable entire regions of a CCD sensor. Nevertheless, the technology requires improved radiation tolerance. There currently does not exist a high performance, rad hard, EUV CMOS sensor. To address these needs, Voxtel Inc. proposes to optimize the design of a radiation-hard, SOI CMOS back-illuminated EUV sensor with enhanced sensitivity and stable operation. The innovation?s reduced optical cross section (app. 500nm) increases the imager?s resolution, reduces radiation effects, and reduces the operating voltages required for silicon depletion. The ultra thin charge collection region is achieved through a novel, back-thinning method that offers superior manufacturability, stability, and reliability while maintaining compatibility with mainstream semiconductor fabrication processes. The low capacitance of SOI combined with our ultra-low noise amplifier design achieves previously unobtainable EUV imaging capabilities.

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This map depicts lands owned andor administered by the U.S. Fish and Wildlife Service at Gila River Waterfowl Area Project.

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This data set includes a selection of urban areas in the United States derived from the urban areas layer of the Digital Chart of the World (DCW). This is a revised version of the 1998 data set. Only minor corrections have been made.

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ABSTRACT: This data set provides estimates of above- and below-ground biomass, above- and below-ground NPP (ANPP and BNPP), and total NPP(TNPP) for selected North American and Eurasian boreal forests located between 66.37 degrees N and 47.5 degrees N. Each stand was selected through a review of published literature and classified into one of three classes, depending upon completeness of NPP budget, ancillary site data, and stand information. Within the overall 1965-1995 temporal range, data available for individual sites varies widely.There are two ASCII files (comma-separated-value format) of NPP data.The first file provides carbon distribution in above- and below-ground vegetation biomass, above- and below-ground net primary production, and mean annual biomass increment for twenty-four (24) Class I sites which have complete NPP budgets (ANPP + BNPP). Information about site characteristics and NPP measurement approaches are also provided.The second file provides stand information, carbon distribution in above-ground vegetation biomass, and ANPP data for forty-five (45) Class II boreal forest stands that have incomplete NPP budgets. Revision Notes:Above- and below-ground biomass, ANPP, and TNPP values for several sites have been corrected to agree with primary published sources and related data sets. The temporal coverage for both has been corrected to agree with primary published sources. Please see the Data Set Revision section of this document for detailed information.

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This report summarizes the Waterfowl Breeding Population and Habitat Survey for southern Saskatchewan during 1997. The primary purpose of the survey is to provide information on spring population size and trajectory for certain North American duck species. Survey methods, habitat and weather conditions, breeding population indices, and tables of population estimates are provided.

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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 digital geospatial data set consists of structure contours of the base of the Laramie-Fox Hills aquifer and the base of the Arapahoe aquifer along the Front Range of Colorado. The U.S. Geological Survey developed this data set as part of a project described in the report, "Structure, Outcrop, and Subcrop of the Bedrock Aquifers Along the Western Margin of the Denver Basin, Colorado" (Robson and others, 1998).

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Tracking data related to rail service issues.

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The U.S. Office of Personnel Management (OPM) holds quarterly Roundtables in order to host a distinguished speaker or panel of speakers to present on changes in federal labor law, best practices in labor relations, or other issues facing federal management officials.

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The insertion of new technology in the cockpit, especially "smart" technology designed to become an additional crewmember, will necessarily impact flight-related operations and crew functioning. We propose to develop an observer-based assessment tool, and associated measures, that will allow National Aeronautics and Space Administration (NASA) researchers to assess the impact of new technologies on crew resource management (CRM) performance. This is particularly important because the new FAA Advisory Circular on CRM training specifically calls for specialized training and evaluation in advanced technology cockpits (AC 120-51E, Page12, Part 13c). Our proposed approach is innovative in two respects. First, in contrast to existing measures of CRM performance, the measures will be sensitive to performance effects related to the insertion of crew-centered technologies in the cockpit. Second, the performance measures will be implemented in a hand-held PC instrument, the Scenario-based Performance Observation Tool for Learning in Team Environments?Aerospace Crew-centered Technologies (SPOTLITE-ACT), with a relational database that will allow for easy collection, storage, and retrieval of experimental data. SPOTLITE-ACT will provide NASA researchers with the capability to measure and evaluate the effects of crew-centered technologies on pilot performance.

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This metadata record describes the ortho & lidar mapping of Sarasota County, FL. The mapping consists of lidar data collected using a Leica ALS-40 Lidar Sensor, contour generation, and production of natural color orthophotography with a 30-cm GSD using imagery collected with a Leica ADS-40 Aerial Digital Camera. This topographic survey for Sarasota County covers 572 square miles and was acquired in two lift acquisitions. Lift 1 was on Feb 28 2004 and lift 2 was on Mar 4, 2004. The original lidar had gaps in the coverage and the areas were flown on May 15, 2004. Lidar data acquired with 2 meter nominal post spacing.

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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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Firefly, in collaboration with Rochester Institute of Technology, proposes an STTR program for the development of a wide-bandgap GaP-based space solar cell capable of efficient operation at temperatures above 300oC. Efficiency enhancement will be achieved by the introduction of InGaP quantum wells within the active region of the wide-gap base material. The introduction of these nanoscale features will enable harvesting of low-energy photons that are normally lost by transmission through the wide bandgap material. Successful completion of the proposed work will combine the high-temperature, radiation-tolerant wide-bandgap material with current-enhancing nanostructures to produce a high efficiency space solar cell capable of operating at higher temperatures suitable for near-sun missions. This achievement can result in significant cost savings as active cooling of PV systems would be unnecessary with this technology.

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Conductivity Temperature and Depth (CTD) measurements were collected aboard the NOAA Ship Pisces to determine physical oceanographic parameters of the water column, and in some cases used to help guide sample collection as part of the Deepwater Horizon oil spill sampling effort. Temperature, conductivity/salinity, depth, dissolved oxygen, and fluorometry data were collected onboard the NOAA Ship Pisces, Cruise 10, Leg 1. The final product is a series of NetCDF files containing every CTD cast that has been processed and quality checked.

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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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Future lunar initiatives will demand sophisticated operation of mobile robotics platforms. In particular, lunar site operations will benefit from robots, both autonomous and tele-operated, that complement or replace human extravehicular activity (EVA). Three-dimensional sensing technology is at the heart of such functionality, enabling safe and reliable navigation in complex, dynamic environments, and serving as a valuable tool for inspection and site survey. Honeybee Robotics therefore proposes to develop a small-envelope, high-performance scanning LIDAR (LIght Detection and Ranging) system, geared primarily towards mobile robot navigation, and secondarily to site inspection and survey. The proposed device would draw on the results of a design study conducted by Honeybee, under contract to DARPA, to develop a miniature LIDAR for a serpentine robotic platform. The baseline Honeybee 3D Miniature LIDAR (3DML) design uses an innovative scanning mechanism in conjunction with a pulse-time-of-flight optical rangefinding subsystem. The 3DML design, developed with expert input from Sensor Designs, Inc., an Oregon-based electro-optical systems consultancy, achieves a wide field of view and high resolution while maintaining an ultra-compact package size. Phase I of this SBIR effort will focus on proof-of-concept of the opto-mechanical system through prototyping and test. Phase II will include development of a fieldable brassboard system prototype and a full path-to-flight study. Phase III will include commercialization of a 3DML unit for terrestrial research, and incorporation of 3DML into a flight program. As an experienced developer of miniature electromechanical systems for spaceflight, Honeybee is well-positioned to flight-qualify 3DML in Phase III.

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Hydrology data include spatial datasets and data tables necessary for documenting the hydrologic procedures for estimating flood discharges for a flood insurance study, which includes the hydrologic data expected by FEMA for new riverline studies. (Source: FEMA Guidelines and Specifications, Appendix N)

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Provides monthly enrollment at the plan level for all organization types.

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USGS 15 minute stream flow data for Kings Creek on the Konza Prairie

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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)