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The Report of VA Medical Training Programs Database is used to track medical center health services trainees and VA physicians serving as faculty. The database also tracks the number of U.S. and international medical residents on-duty at a Veterans Affairs Medical Center (VAMC). Information in the database comes from all VAMCs that have residency programs. The Office of Academic Affiliations distributes worksheets and memos to participating VAMCs annually. VAMC personnel enter the information electronically into the database located at the Academic Information Management Center (AIMC) in St. Louis, Missouri. The main user of this database is the Office of Academic Affiliations which uses the reports from the system to assist in its decision making.

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The geographic information system (GIS) format spatial data set of vegetation for Apostle Islands National Lakeshore (APIS) was created for the National Park Service (NPS) Vegetation Inventory Program (VIP). The APIS covers an area of approximately 28,972 ha (71,591 acres). The map classification scheme used to create the vegetation data set is designed to represent local vegetation types at the finest level possible using the National Vegetation Classification (NVC) Standard (Vr 2). Physiognomic information was also recorded, including height (woody vegetation), canopy density, and coverage patterns. The vegetation data set was developed by interpreting aerial photographs collected in 2004 and extensive field surveys. Individuals who cooperated in this project include; USGS Center for Biological Informatics, NPS Biological Resources Management Division, USGS Upper Midwest Environmental Sciences Center, NPS Apostle Islands National Lakeshore, and NatureServe. The vegetation data are distributed as an ESRI format file geodatabase, stored in Universal Transverse Mercator zone 15 mapping coordinates, North American Datum 1983.

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Tabular summary of breeding bird point count surveys on Okefenokee NWR from 1999 through 2014.

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The grayscale Puerto Rico and U.S. Virgin Islands shaded relief data were derived from National Elevation Dataset (NED) data, and show the terrain of Puerto Rico and U.S. Virgin Islands at a resolution of 200 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.

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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). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.

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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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The Database of Sources of Environmental Releases of Dioxin-like Compounds in the United States was developed by EPA to be a repository of certain specific chlorinated dibenzo-p-dioxin/dibenzofuran (CDD/CDF) emissions data from all known sources in the US. The database contains information that can be analyzed to track emissions of CDD/CDF over time, compare specific profiles between and among source categories, and develop source specific emission factors that can then be used to develop emission estimates.

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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 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 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 objective of Phase 2 is to build a reliable, lightweight, programmable, multi-mode, miniaturized EVA Software Defined Radio (SDR) that supports data telemetry, voice, standard and high-definition video. The proposed radios would be part of an advanced, incrementally expandable wireless network for securing and accessing lunar data assets. For improved reliability and to assure stand-alone functionality, the network would support a real-time 3D location function using site-assisted navigation and utilizing TOA/TDOA methods. To achieve unparalleled power consumption efficiency, Lexycom proposes the use of QoS-aware, data traffic dependent waveform selection. We have estimated that additional reduction in power consumption can be obtained by utilizing cognitive selection of the operating mode of the EVA transceivers. We plan to use an innovative RF packetization technique targeted toward eliminating negotiations between the network nodes prior to the change in the parameters of the transmitted signal on a packet-by-packet basis. We anticipate that after the completion of Phase II, Lexycom will be more than capable of delivering production-ready operational EVA SDR prototypes for further advancements in the transceiver's Technology Readiness Level (TRL). We strongly believe that such radio would facilitate flexibility, provide consistent functionality, and reduce implementation time for future NASA planetary explorations.

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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 Universal Transverse Mercator Coordinate System (ZONE 18N) and Lambert Conformal conic projection. 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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These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-2c Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project, http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects/surface-turbulent-fluxes-esdr http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects This is a Monthly product; data are projected to equidistant Grid that covers the globe at 1x1 degree cell size, resulting in data arrays of 360x180 size. A finer resolution, 0.25 deg, of this product has been released as Version 3. The input data sets used for this recent GSSTF production include the upgraded and improved datasets such as the Special Sensor Microwave Imager (SSM/I) Version-6 (V6) product of brightness temperature [Tb], total precipitable water [W], and wind speed [U] produced by the Wentz of Remote Sensing Systems (RSS), as well as the NCEP/DOE Reanalysis-2 (R2) product of sea skin temperature [SKT], 2-meter air temperature [Tair], and sea level pressure [SLP]. These HDF-EOS5 files contain one grid that have 4 variables: "SST" 'sea surface skin temperature' (C) "Psea_level" 'sea level pressure' (hPa) "Tair_2m" '2m air temperature' (C) "Qsat" 'sea surface saturation humidity' (g/kg) The double-quoted labels are the short names of the data fields in the HDF-EOS5 files. The short name for this product is GSSTFM_NCEP Parameters contained in the data files include the following: Variable Name|Description|Units Psea_level|sea level pressure|(hPa) Qsat|sea surface saturation humidity|(g/kg) SST|sea surface skin temperature|(C) Tair_2m|2m air temperature|(C) End of parameter information

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Bathymetry for Pamlico Sound was derived from Sixty-five surveyscontaining 648,402 soundings. Nine older, overlapping, less accuratesurveys were entirely omitted before tinning the data. The overlapfrom eight older, less accurate surveys was omitted prior totinning. The average separation between soundings was 104 meters.Ten surveys in the southwest dated prior to 1900. The remainingfifty-five surveys used dated from 1913 to 1980. The total rangeof sounding data was 0.3 meters to -21 meters at mean low water. Meanhigh water values between 0.1 and 0.6 meters were assigned to the shoreline.Twelve points were found that were not consistent with the surrounding data.These were removed prior to tinning. DEM grid values outside theshoreline (on land) were assigned null values (-32676).Update 2 (10/31/00): Seven additional surveys collected prior to 1900 havebeen digitized and have been included in the new update. These surveys were inthe Pamlico River and at the mouth of the Neuse River, as well as theWysocking Bay region. The previous update corrected an error in one of thehydro-graphic surveys where feet were registered as fathoms. Thesesoundings were near the mouth of the estuary. No soundings of greater than21 meters should be present within Pamlico Sound.A vector file delineating the regions were data are inadequate for quality 30mbathymetry have been included in the Zipped files in both Mapinfo [MIF] andArcView [SHP] formats.NOTE: These updated DEMs are NOT available for the 3 arc second version.Pamlico Sound has seventy-eight 7.5 minute DEMs and four one degreeDEMs. The 1 degree DEMs were generated from the higher resolution 7.5minute DEMs which covered the estuary. A Digital Elevation Model(DEM) contains a series of elevations ordered from south to northwith the order of the columns from west to east. The DEM isformatted as one ASCII header record (A- record), followed by aseries of profile records (B- records) each of which include a shortB-record header followed by a series of ASCII integer elevations(typically in units of 1 centimeter) per each profile. The lastphysical record of the DEM is an accuracy record (C-record).The 7.5-minute DEM (30- by 30-m data spacing) is cast on theUniversal Transverse Mercator (UTM) projection. It provides coveragein 7.5- by 7.5-minute blocks. Each product provides the samecoverage as a standard USGS 7.5-minute quadrangle but the DEMcontains over edge data. Coverage is available for many estuaries ofthe contiguous United States but is not complete.

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NOS coastal survey maps (often called t-sheet or tp-sheet maps) are special use planimetric or topographic maps that precisely define the shoreline and alongshore natural and man-made features, such as rocks, bulkheads, jetties, piers, and ramps. These maps typically range in scale from 1:5,000 to 1:40,000. The first shoreline survey was completed in 1834. Since the early 1800's, over 12,000 coastal survey maps have been constructed. These maps permanently reside within the offices of the National Archives and Records Administration (NARA).

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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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ORBITEC proposes to develop and demonstrate the innovative Acoustic Resonance Reaction Control Thruster (ARCTIC) to provide rapid and reliable in-space impulse without the use of toxic hypergols, delicate catalyst beds, or cumbersome spark systems. The ARCTIC thruster will exceed current reliability standards, reduce RCS complexity, and provide system-level benefits by minimizing weight, decreasing power requirements, and improving serviceability. The Phase I work will focus on the development and testing, both at sea level and vacuum conditions, of a prototype ARCTIC thruster, as well as the design of flight-weight ARCTIC thruster for Phase II implementation.

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NPScape CCAP landcover (CCAP_LAC - 1996, 2001 and 2006) and landcover change (CCAP_LCC) products. Landcover change is produced from the 1996-2001 NOAA C-CAP and 2001-2006 NOAA C-CAP landcover change data.

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The Scripps Institution of Oceanography (SIO) compiled data on the geochemistry of marine ferromanganese nodules, funded by the U.S. National Science Foundation (NSF), as part of the International Decade of Ocean Exploration (IDOE). Data were collected under the Manganese Nodule (MNNOD) and Deep Ocean Mining Environmental Studies (DOMES) programs. This SIO compilation includes data from 442 dredge and grab samples and 419 cores collected at 861 sea floor locations worldwide. Additional, non-IDOE, data compiled by SIO are not included. Data were abstracted by SIO staff from the literature, and other sources, including personal communications. The five files include data sources, latitude/longitude, sampling device, water depth, nodule type, weight percentages of selected elements, and bibliographic references. These data are also available as part of the NOAA and MMS marine minerals database and corresponding NOAA and MMS Marine Minerals CDROM data set released by NOAA in 1992.

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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 delivered by use for "Government Agencies" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".

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NCEI Accession 0130766 includes physical and profile data collected aboard the Bay Hydro II during project BHII-Test-Eval-2014 in the North Atlantic Ocean from 2014-05-09 to 2014-11-05. These data include CONDUCTIVITY, HYDROSTATIC PRESSURE, SALINITY, SOUND VELOCITY, WATER DENSITY and WATER TEMPERATURE. The instruments used to collect these data include CTD. These data were collected and submitted by the NOAA Office of Coast Survey in support of hydrographic multibeam surveys to meet NOAA charting requirements.

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Polygons: 184 Vertices: 208

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This catalog of LAT sources above 10 GeV reports the locations, spectra, and variability properties of the 514 sources significantly detected in this range during the first three years of the Fermi mission. Many of these sources are already included in the 2FGL catalog, although in that catalog their characterization is dominated by the much larger numbers of gamma rays detected in the energy range 0.1 to 10 GeV.

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This dataset contains the annual general fertility rate (births per 1,000 females aged 15-44 years) with corresponding 95% confidence intervals, by Chicago community area, for the years 1999 – 2009. See the full dataset description for more information: https://data.cityofchicago.org/api/assets/58E0620E-DF5C-4EE6-AD06-658816...

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Airline Financial Review Report presents both by quarter and on a rolling 12-month bases selected financial and traffic statistics for the largest U.S. passenger group, major group passenger and all-cargo airlines. Also shown are graphs and a breakdown between domestic and internationa operations for each group as a whole. The sources for the report is DOT's Form 41 financial data and T-100 traffic data

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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 Floodplain Mapping 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. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).