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This data set consists of a subset of a 1-degree gridded global freshwater wetlands database (Stillwell-Soller et al. 1995). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The data are in ASCII GRID format.The global freshwater wetlands database was assembled from two data sets: Aselman and Crutzen's (1989) wetlands data set and Klinger's political Alaska data set (pers. comm. to L. M. Stillwell-Soller, 1995). The aim of Stillwell-Soller's global data set was to provide an accurate, comprehensive and uniform set of files for convenient specification of wetlands in global climate models. The main source of data was Aselman and Crutzen's global maps of percent cover for a variety of wetlands categories at 2.5-degree latitude by 5-degree longitude resolution. There was some reorganization for seasonally varying categories. Aselman and Crutzen's data were interpolated to a standard 1-degree by 1-degree grid through bilinear interpolation. Their data were geographically complete except for the Alaskan region, for which Klinger's data set provided values.More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/soller_wetlands/comp/soller_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.

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Data on natural gas prices, production, reserves, gross withdrawals, imports and exports, underground storage, deliveries, and consumption. Annual and monthly data available. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

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This dataset contains annual data on collections received and distributed by State agencies administering the Child Support Enforcement program under title IV-D of the Social Security Act.

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IKONOS imagery was purchased to support the Pacific Islands Geographic Information System (GIS) project and the National Ocean Service's (NOS) coral mapping activities. One-meter panchromatic and four-meter multi-spectral data were purchased for each study area. A digital vector shoreline was manually digitized from the one-meter panchromatic imagery to provide accurate, up-to-date shoreline data.

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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).

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In order to facilitate wider understanding and use of NASA and other scientific data sources through publicly available and familiar tools, such as the Google Maps, Payload Systems Inc. proposes to develop a flexible scientific data search, analysis and visual presentation tool suite. This suite will use a modular plug-in approach to retrieve and translate information from user-selected networked data sources into semantic-web representations and then apply rule-based processing to integrate the translated content with geospatial display tools, such as Google Maps and Google Earth, and with sources of domain expert commentary about the displayed information. Our Phase I effort will analyze data retrieval, processing and display architectural approaches, such as web browser plug-in applications versus server centric approaches, and select the best for this type of application. Phase I will prototype key elements, such as data retrieval and rule-processing, to assess the performance and feasibility of the selected approach and create a preliminary design. Our Phase II effort will then advance the design and provide a polished implementation of the tool suite.

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These data are qualitatively derived interpretive polygon shapefiles and selected source raster data defining surficial geology, sediment type and distribution, and physiographic zones of the sea floor from Nahant to Northern Cape Cod Bay. Much of the geophysical data used to create the interpretive layers were collected under a cooperative agreement among the Massachusetts Office of Coastal Zone Management (CZM), the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, the National Oceanic and Atmospheric Administration (NOAA), and the U.S. Army Corps of Engineers (USACE). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of seafloor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes because of natural or human effects. The project is focused on the inshore waters of coastal Massachusetts. Data collected during the mapping cooperative involving the USGS have been released in a series of USGS Open-File Reports (http://woodshole.er.usgs.gov/project-pages/coastal_mass/html/current_map.html). The interpretations released in this study are for an area extending from the southern tip of Nahant to Northern Cape Cod Bay, Massachusetts. A combination of geophysical and sample data including high resolution bathymetry and lidar, acoustic-backscatter intensity, seismic-reflection profiles, bottom photographs, and sediment samples are used to create the data interpretations. Most of the nearshore geophysical and sample data (including the bottom photographs) were collected during several cruises between 2000 and 2008. More information about the cruises and the data collected can be found at the Geologic Mapping of the Seafloor Offshore of Massachusetts Web page: http://woodshole.er.usgs.gov/project-pages/coastal_mass/.

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With the increasing demands placed on extravehicular activities (EVA) for International Space Station (ISS) maintenance, there is a critical need for oxygen delivery for EVA's from on-station sources. Since mechanical compressors have significant lifetime issues, NASA is evaluating high pressure PEM electrolyzer technology to generate and compress oxygen on the ISS. State-of-the-art electrolyzers use Nafion® and similar perfluorosulfonic acid membranes which have significant hydrogen (H2) permeation issues. To achieve the efficiencies desired, NASA requires a 50% or more reduction in H2 permeation with less than 10% reduction in ionic conductivity. Lynntech proposes to manufacture nanocomposite membranes with significantly reduced H2 permeation while maintaining high ionic conductivity. Preliminary results showed an unprecedented reduction in H2 permeation with minimal reduction in ionic conductivity (which have not been demonstrated before), no acid generation, and increased water transfer capability. In Phase I, Lynntech will further optimize the membrane microstructure to achieve a target 60 to 70% reduction in H2 permeation with less than 10% reduction in ionic conductivity. The anticipated Technology Readiness Level at the beginning and ending of Phase II will be 3 and 4, respectively.

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SWFSC FED Mid Water Trawl Juvenile Rockfish Survey: CTD Data. Surveys have been conducted along the central California coast in May/June every year since 1983. In 2004 the survey area was expanded to cover the entire coast from San Diego to Cape Mendocino. The survey samples a series of fixed trawl stations using a midwater trawl. The midwater trawl survey gear captures significant numbers of approximately 10 rockfish species during their pelagic juvenile stage (i.e., 50-150 days old), by which time annual reproductive success has been established. Catch-per-unit-effort data from the survey are analyzed and serve as the basis for predicting future recruitment to rockfish fisheries. Results for several species (e.g., bocaccio, chilipepper [S. goodei], and widow rockfish [S. entomelas]) have shown that the survey data can be useful in predicting year-class strength in age-based stock assessments. The survey's data on YOY Pacific whiting has also been used in the stock assessment process. To assist in obtaining additional northward spatial coverage of YOY Pacific whiting off Oregon and Washington, in 2001 the Pacific Whiting Conservation Cooperative in cooperation with the NOAA NMFS Northwest Fisheries Science Center began a midwater trawl survey patterned after the NOAA NMFS SWFSC Fisheries Ecology Division's (FED) existing survey. Both surveys work cooperatively together each year in order to resolve interannual abundance patterns of YOY rockfish and Pacific whiting on a coastwide basis, which provides expedient, critical information that can be used in the fisheries management process. The large quantity of physical data collected during the surveys (e.g., CTD with attached transimissometer and fluorometer, thermosalinometer, and ADCP) have provided a better understanding of the hydrographic conditions off the California coast and analysis of these data have been distributed through the publication of NOAA NMFS Technical Memoranda. For more information, see http://swfsc.noaa.gov/GroundfishAnalysis/ and http://www.sanctuarysimon.org/projects/project_info.php?projectID=100118

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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 State Plane 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 1:12,000.

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Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data on the Quinault watershed survey area for the Puget Sound LiDAR Consortium. This data set covers approximately 181 square miles. Due to spring snow on the ground WSI was unable to acquire data for the complete survey during the initial flights in April and will return to finish acquisition at a later date. Delivery 1 of the survey area was collected on March 24th and 25th and April 8th and 9th and 22nd. The LiDAR survey utilized both a Leica ALS60 and a Leica ALS50-II sensor in a Cessna Caravan 208B.All areas were surveyed with an opposing flight line side-lap of =60% (=100% overlap) to reduce laser shadowing and increase surface laser painting. The Leica laser systems allow up to four range measurements (returns) per pulse, and all discernible laser returns were processed for the output dataset. This LiDAR survey achieved a nominal point spacing of 9.23 points per square meter.

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Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities of stocks, production, imports, sales, and deliveries to FSA on a monthly basis.

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Fish survey, fishing duration, and other data were collected from beach seines and other gear from the MARYSVILLE from 26 June 1984 to 28 July 1985. Data were collected by Dames and Moore, Inc. as part of Outer Continental Shelf Environmental Assessment Program (OCSEAP). Data were processed by NODC to the NODC F123 Fish/Shellfish Surveys format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/f123.html. An analog file for this accession is available from NODC user services. The F123 format is used for data from field sampling of marine fish and shellfish. The data derive from analysis of midwater or bottom tow catches and provide information on population density and distribution. Cruise information, position, date, time, gear type, fishing distance and duration, and number of hauls are reported for each survey. Environmental data may include meteorological conditions, surface and bottom temperature and salinity, and current direction and speed. Bottom trawl or other gear dimensions and characteristics are also reported. Catch statistics (e.g., weight, volume, number of fish per unit volume) may be reported for both total haul and for individual species. Biological characteristics of selected specimens, predator/ prey information (from stomach contents analysis), and growth data may also be included. A text record is available for comment.

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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; classificatons 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 1:12,000.

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The 2006 OSIP bare-earth Digital Elevation Model (DEM) was derived from digital LiDAR data was collected during the months of March and May (leaf-off conditions). The DEM data covers the entire land area of the northern tier of Ohio (approximately 23,442 square miles. The DEM is delivered in county sets, consisting of 5,000' x 5,000' size tiles that correspond to the tile sizes for the OSIP 1FT imagery products. Where the State borders other states (land only), the entire border of the State is buffered by at least 1,000-feet. Along the Lake Erie Shoreline ortho coverage is buffered beyond the shoreline a minimum distance of 2,500-feet. The file naming convention is as follows: Nxxxxyyy = 5,000' x 5,000' Tiles located in the Ohio State Plane Coordinate System (North Zone). Sxxxxyyy = 5,000' x 5,000' Tiles located in the Ohio State Plane Coordinate System (South Zone). Please note that xxxx and yyy represent the easting and northing coordinates (respectively) in state plane feet, The naming convention for each tile is based upon (the bottom most-left pixel). The full county mosaic is an aggregation of the tiles by county. The mosaic is devloped in the Ohio State Plane Coordinate System (North Zone).. The DEM tiles were provided in ESRI ArcINFO GRID raster and ASCII grid formats, with only the LiDAR in LAS Format containing the above ground and bare-earth LiDAR features. Ownership of the data products resides with the State of Ohio. Orthophotography and ancillary data products produced through this contract are public domain data. The LiDAR used to generate the DEM was acquired Statewide to provide a solid and very accurate base to use during the image rectification process. This same LiDAR can be supplemented with 3D breaklines to generate 2-foot and/or 4/5-foot contours. The average post spacing between LiDAR points is 7-feet. The flying altitude was 7,300-feet AMT, with the targeted flying speed at 170 knots.

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An RSS feed documenting Defense Department media events, briefings, publications and other opportunities.

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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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<p>In this one year research project, we propose to do the following four tasks;</p><p>(1) Design the silicon wafer X-ray mirror demo unit and develop a ray-tracing code to estimate the mirror performance. We will need to determine detailed parameters of the unit, such as size of the silicon wafer, their angle and pitch.</p><p>(2) We have to find a wafer processed by the “right” method suitable for our application: appropriately flat and thin. We will procure the silicon wafers and measure the surface flatness using an optical interferometer.</p><p>(3) Design a holding structure of the silicon wafer and place them in the K-B system configuration. The structure should be able to place the wafers in micron accuracy. If the machining accuracy doesn’t allow us to do this, we would need to develop a method to align the wafer.</p><p>(4) Once we have the manufacturing drawing, we will need to identify the manufacturer and fabricate the designed housing. Then we will assemble the first demonstration unit, and measure its performance at the X-ray beamline. The X-ray test results will be compared with ray-tracing simulations and used for the further developments in the future.</p>

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Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth’s radiation budget and climate. It flies in formation with five other satellites in the international 'A-Train' (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES.

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This data set contains lidar point data from a strip of Southern California coastline (including water, beach, cliffs, and top of cliffs) from Dana Point to Point La Jolla. The data set was created by combining data collected using an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 in combination with geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. The Bureau of Economic Geology, the University of Texas at Austin owns and operates an ALTM 1225 system (serial number 99d118). The system is installed in a single engine Cessna 206 (tail number N4589U) owned and operated by the Texas State Aircraft Pooling Board. The lidar data set described by this document was collected at low tide on 22 May 2002 (14202) between 18:20 and 21:39 UTC (actual data collection). Conditions on that day were light clouds along the shoreline as well as offshore. 99d118 instrument settings for this flight were; laser pulse rate: 25kHz, scanner rate: 26Hz (28Hz for calibration target), scan angle: +/-20deg, beam divergence: narrow, altitude: 680-780m AGL for first half of flight and 900-950 for second half of flight, and ground speed: 83-125kts. Two GPS base stations (Scripps pier and San Onofre Power Plant) were operating during the survey. The survey included 3 shoreline passes between Dana Point and Point La Jolla as well as one offshore pass along the 20m isobath. Data represented is all points including terrain, vegetation, and structures. This data also contains returns from the water surface. No processing has been done to remove returns from terrain, vegetation, structures or water surfaces.

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Geochemical analyses of water samples throughout the U.S. collected by the hydrogeochemical and stream sediment reconnaissance (HSSR) phase of the National Uranium Resource Evaluation (NURE) program. This database contains 335,547 records.

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The Command, Control, Communications and Information (C3I) environment will be significantly different for Constellation than for Shuttle and International Space Station (ISS). Missions will operate not only in Near Earth round-trip latencies (RTLT) of seconds but also Near Mars RTLT of 10 to 40 minutes. New classes of collaboration services are required to support the spectrum of Constellation missions and infrastructure. Integrating popular collaboration tools such as Groove Virtual Office on Constellation C3I space-based components and networks will be a major innovation. This project proposes experimental use in SBIR Phases II/III of ISS flight and ground capabilities to demonstrate new collaboration services for use in the Constellation program. These new space-based and terrestrial services will greatly improve communications among all Constellation personnel over current techniques. The approach includes: 1) Integrate instant messaging, e-mail, transcription, etc. with voice and video communications; 2) Design for automation and autonomy of space-based Constellation components; 3) Evolve development collaboration services into mission collaboration services over time; 4) Promote new collaboration standards, interoperability, standardized interfaces, and modularity; 5) Adapt the collaboration architecture to the ground and space networks and frameworks. Client-server, peer-to-peer, or a hybrid architecture may be most suitable.

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Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set consists of Vegetation Water Content (VWC) data for two Soil Moisture Experiment 2003 (SMEX03) regional study areas, Oklahoma North and Oklahoma South. VWC was derived from the Normalized Difference Water Index (NDWI) which was obtained from Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper (ETM+) imagery. Though Landsat satellite data were acquired for multiple dates, data acquired on 10 July 2003 were selected as providing ideal conditions for the estimation of VWC. Data are provided as flat binary files and are available via FTP. Individual data values must be divided by 32 to obtain the actual vegetation water content in kg/m2. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements.

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This data set includes data collected from 1996-2000 and covers the states of AL,FL,LA,MS,DE,MD,VA,CT,MA,ME,NH, NJ,NY,RI,NC,SC,GA,CA OR,WA,TX OH,PA. Laser beach mapping uses a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation and coastal topography. The laser emits laser beams at high frequency and is directed downward at the earth's surface through a port opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The aircraft travels over the beach at approximately 60 meters per second while surveying from the low water line to the landward base of the sand dunes.

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This map layer portrays the Congressional Districts of the United States for the 107th Congress. The map layer was created by extracting lines from existing National Atlas layers that were coincident with Congressional District boundaries. In areas lacking coincident geometry, lines from 1:100,000-scale Congressional District boundaries published by the U.S. Department of Commerce, Bureau of the Census, Geography Division were generalized and integrated into the map layer. This is an update of the July 2001 map layer.