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In 2009, the Kootenai Tribe of Idaho released and implemented the Kootenai River Habitat Restoration Master Plan. This plan aimed to restore, enhance, and maintain the Kootenai River habitat and landscape to support and sustain habitat conditions for aquatic species and animal populations. In support of these restoration efforts, the U.S. Geological Survey, in cooperation with the Kootenai Tribe of Idaho, conducted high-resolution multibeam echosounder bathymetric surveys in May, June, and July 2011, as a baseline bathymetric monitoring survey on the Kootenai River near Bonners Ferry, Idaho. Three channel patterns or reaches exist in the study area—braided, meander, and a transitional zone connecting the braided and meander reaches. Bathymetric data were collected at three study areas in 2011 to provide: (1) surveys in unmapped portions of the meander reach; (2) monitoring of the presence and extent of sand along planned lines within a section of the meander reach; and (3) monitoring aggradation and degradation of the channel bed at specific cross sections within the braided reach and transitional zone. The bathymetric data will be used to update and verify flow models, calibrate and verify sediment transport modeling efforts, and aid in the biological assessment in support of the Kootenai River Habitat Restoration Master Plan. The data and planned lines for each study reach were produced in ASCII XYZ format supported by most geospatial software.

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HPMS compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially-enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

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The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000. This database was developed for the TYLER County DFIRM project in 2008 by CF3R/Baker for FEMA Region 6.

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This data set contains human-use resource data for airports, aquaculture sites, boat ramps, marinas, heliports, and log storage areas in Southeast Alaska. Vector points in this data set represent the location of human-use sites. Location-specific type and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Southeast Alaska. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the MGT (Management Area Polygons) data layer, part of the larger Southeast Alaska ESI database, for additional human-use information.

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This map layer is a grid map of 1994 average vegetation growth for Alaska and the conterminous United States. The nominal spatial resolution is 1 kilometer and the map layer is based on 1-kilometer AVHRR data. The data were compiled by staff at the USGS Center for Earth Resources Observation and Science.

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This map was produced by the Division of Realty to depict landownership at Bond Swamp National Wildlife Refuge. It was generated from rectified aerial photography, cadastral surveys and recorded documents.

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Aggregated Computational Toxicology Online Resource (AcTOR) is EPA's online aggregator of all the public sources of chemical toxicity data. ACToR aggregates data from over 1,000 public sources on over 500,000 chemicals and is searchable by chemical name, other identifiers and by chemical structure. It can be used to query a specific chemical and find all publicly available hazard, exposure and risk assessment data. It also provides access to EPA's ToxCast, ToxRefDB, DSSTox, Dashboard and DSSTox data.

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The United States Geological Survey (USGS) is working cooperatively with the National Oceanic and Atmospheric Administration (NOAA) to interpret the surficial geology in estuaries along the coast of the northeastern United States. The purpose of our present study is to define the sea floor morphology and sedimentary environments in an area of Rhode Island Sound using sidescan-sonar imagery, multibeam bathymetry, and seismic records. The mosaic, bathymetry, and their interpretations serve many purposes, including: (1) defining the geological variability of the sea floor, which is one of the primary controls of benthic habitat diversity; (2) improving our understanding of the processes that control the distribution and transport of bottom sediments and their distribution of benthic habitats and associated infaunal community structures; and (3) providing a detailed framework for future research, monitoring, and management activities. The sidescan-sonar mosaics and bathymetry images also serve as base maps for subsequent sedimentological, geochemical, and biological observations, because precise information on environmental setting is important for selection of sampling sites and for accurate interpretations of point measurements.

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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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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).

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This collection presents survey data from 12 cities in the United States regarding criminal victimization, perceptions of community safety, and satisfaction with local police. Participating cities included Chicago, IL, Kansas City, MO, Knoxville, TN, Los

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The U.S. Geological Survey (USGS), in cooperation with the Lewis and Clark Natural Resources District (NRD), Lower Elkhorn NRD, Lower Loup NRD, Lower Platte North NRD, Lower Niobrara NRD, Middle Niobrara NRD, Upper Elkhorn NRD, and Upper Loup NRD, have agreed to cooperatively study water resources from prior to the beginning of irrigation development to 2005 in the Elkhorn-Loup Model (ELM) area using a ground-water-flow model. The ELM area covers approximately 30,800 square miles, and extends from the Niobrara River in the north to the Platte River in the south. The western boundary of the ELM area coincides with the western boundary of the Middle Niobrara, Twin Platte, and Upper Loup NRDs; the eastern boundary coincides with the approximate location of the westernmost extent of glacial till in eastern Nebraska. The initial ground-water-flow model was constructed with a single layer vertically to represent the aquifers of the Tertiary-age Ogallala Group and Quaternary-age alluvial deposits, with a uniform node spacing of 2 miles. The model will be calibrated to measured ground-water levels and estimated ground-water discharge to streams for the pre-ground-water development period (approximately 1940) and the simulation of the 1940-2005 period will be calibrated to measure ground-water level changes. The study results will assist Nebraska Department of Natural Resources and the NRDs in the ELM area to develop long-term strategies for managing hydrologically connected waters. TThis dataset is one of three geospatial datasets that together revise previously published maps of the configuration of the base of the principal aquifer and of the geologic units that form the base of the principal aquifer in the study area; the revisions to the base-of-aquifer altitude are based on currently available or reinterpreted geologic logs of test holes and selected registered wells. The principal aquifer is the High Plains aquifer except in the northeast part of the model area, where the principal aquifer is an unnamed alluvial aquifer. This dataset consists of contour lines of the base-of-aquifer altitude above the vertical datum (National Geodetic Vertical Datum of 1929). The purpose of this dataset is to serve as the lower aquifer boundary in the ground-water-flow model of the Elkhorn-Loup Model area, north-central Nebraska. This dataset is not intended to be used at scales larger than 1:350,000. The density of registered wells and test holes with data about the depth to the base of aquifer varies greatly across the map area. The accuracy of the base-of-aquifer contours in a given area is related directly to the density distribution and availability of registered well and test-hole data with information about the depth to the base of aquifer in that area.

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Gridded Population of the World, Version 3 (GPWv3) Coastlines are derived from the land area grid to show the outlines of pixels (cells) that contain administrative units in GPWv3. The coastlines are designed for cartographic use with the GPWv3 population raster datasets. GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with Centro Internacional de Agricultura Tropical (CIAT). (Suggested Usage: To provide a set of coastlines consistent with GPWv3 raster data for cartographic purposes.)

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The Moderate-resolution Imaging Spectroradiometer (MODIS) is a scientific instrument (radiometer) launched by NASA in 2002 on board the Aqua satellite platform (a second series is on the Terra platform) to study global dynamics of the Earths atmosphere, land and oceans. MODIS captures data in 36 spectral bands ranging in wavelength from 0.4 um to 14.4 um and at varying spatial resolutions (2 bands at 250 m, 5 bands at 500 m and 29 bands at 1 km). For the sea surface temperature (SST) products from this radiometer channels in the 4, 11 and 12 um spectrum are used. The Aqua platform is in a sun synchronous, near polar orbit at 705 km altitude and the MODIS instrument images the entire Earth every 1 to 2 days. The production of the MODIS L2P SST data as part of the Group for High Resolution Sea Surface Temperature (GHRSST) is a joint collaboration between the NASA Jet Propulsion Laboratory (JPL), the NASA Ocean Biology Processing Group (OBPG), and the Rosenstiel School of Marine and Atmospheric Science (RSMAS). RSMAS is responsible for sea surface temperature algorithm development, error statistics and quality flagging, while the OBPG is NASA ground data system for production of daily MODIS ocean products in HDF file format. JPL acquires MODIS ocean granules from the OBPG in near realtime and reformats them to the GHRSST L2P netCDF specification with complete metadata. Data consists of global coverage at 1 km resolution with approximately 300+ five minute observation granules per day. For nighttime data both SST from the 11-12 um, and 4 um bands are available. Ocean chlorophyll a and K490 diffuse attenuation coefficient data are also available for daytime periods as non standard L2P core fields. Note that these ocean color data do not represent the most recent version processed by the OBPG and may not be of research quality.

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The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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Echo-sounding tables (3rd Edition) were prepared by D.J.T. Carter of the Marine Information and Advisory Service (United Kingdom) for the conversion of raw echo-sounding measurements of ocean depths to values compensated for variations of sound speed with regional density profiles. The tables were computerized by Carter and offer standard velocity-depth corrections for 85 different regions covering the globe. The database consists of algorithms for determining correction zones by latitude-longitude, and interpolation tables for each zone.

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The Mars Maps Catalog includes various mappings of the surface of Mars.

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Violations Issued through the end of Oct. 2013

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<p>This one year effort had four aspects; complete and document the calibrated spectral intensity of a hydrogen flame, understand the role of atmospheric attenuation on the performance of hydrogen flame detectors, help qualify the performance of the near infrared water measurement instrument used in the NASA Regolith and Environment Science and Oxygen and Lunar Volatile Extraction (RESOLVE) project, and build a prototype next-generation ultraviolet hydrogen flame simulator.</p><ol><li>We obtained a calibrated ultraviolet lamp and worked with safety to permit its use.  Using this we were able to calibrate our spectrometer for ultraviolet measurements and successfully measured the UV emission of a hydrogen flame. This completed our spectral measurement (we had previously performed measurements from the visible through the far-infrared under program funding). We have documented this effort in a new technology report and in a manuscript that we submitted to the International Journal of Hydrogen Energy.  This paper has been accepted for publication and appeared in the June 2014 issue of the International Journal of Hydrogen Energy.</li><li>We set up an extended tube and filled it with humid air in order to perform some atmospheric absorption measurements.  The results have indicated that the new infrared radiation (IR) fire detectors should operate within their design distance even in humid Florida air.</li><li>We have provided significant aid to the Resolve project.  We took preliminary data before the spectrometer showed up, we performed analysis, we helped interpret the data provided by their spectrometer, and we’ve helped to develop an algorithm to convert their spectral absorbance data into a water vapor concentration.</li><li>We have designed, constructed, and tested a new prototype ultraviolet hydrogen flame simulator. A new technology report has been written and we will be working with KSC Ground Support Development to start the conversion of this device into ground support equipment so that it can be used to certify the ultraviolet fire detectors still being used in the field.</li></ol>

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These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

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In this Phase II proposal we plan to design and develop a semiconductor, low phase/frequency noise, single-frequency, external cavity semiconductor laser (ECL) emitting at 1064 nm for use in high-precision outer space measurement NASA missions. Many NASA space missions rely on the utilization of Light Detection and Ranging (LIDAR) techniques for atmospheric analysis and/or surface topography and distance measurement. A key and vital component of any LIDAR system is the laser source. Single frequency lasers are highly desirable for use in planned missions using LIDAR systems. The laser is based on the PLANEX laser technology developed by Redfern Integrated Optics Inc. (RIO). The PLANEX 1550 nm laser was originally designed and developed for terrestrial applications but it has been experimentally demonstrated to have a sufficiently low level of frequency and intensity noise to be suitable for precision measurement applications, such as those encountered in spaceborne LIDAR. For the Phase II effort, we propose to carry out a plan to design and develop a 1064 nm PLANEX laser for NASA LIDAR applications which will be based on the RIO PLANEX ECL originally designed for emission at 1550 nm, but need re-design for different semiconductor materials, fabrication processes and opto-electronic packaging for operation at 1064 nm wavelength in outer space.

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The 2014 cartographic boundary KMLs 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 files while others are available only as state-based files. The records in this file allow users to map the parts of the 114th Congressional Districts that overlap a particular county. Congressional Districts are the 435 areas from which people are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the States based on census population counts, each State is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a State as practicable. The 114th Congress is seated from January 2015 to 2017. The TIGER/Line shapefiles for the District of Columbia, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) each contain a single record for the non-voting delegate district in these areas. The boundaries of all other congressional districts are provided to the Census Bureau through the Redistricting Data Program (RDP). The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are mostly as of January 1, 2013, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS). However, some changes made after January 2013, including the addition and deletion of counties, are included.

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The Global Subnational Prevalence of Child Malnutrition dataset consists of estimates of the percentage of children with weight-for-age z-scores that are more than two standard deviations below the median of the NCHS/CDC/WHO International Reference Population. Data are reported for the most recent year with subnational information available at the time of development. The data products include a shapefile (vector data) of percentage rates, grids (raster data) of rates (per thousand in order to preserve precision in integer format), the number of children under five (the rate denominator), and the number of underweight children under five (the rate numerator), and a tabular dataset of the same and associated data. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

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Provides a history of the evaluation by CIO ratings and comments.

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The National Crime Victimization Survey (NCVS) Series, previously called the National Crime Surveys (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addr