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The National Assessment of Coastal Change Hazards project derives beach morphology features from lidar elevation data for the purpose of understanding and predicting storm impacts to our nation's coastlines. This dataset defines beach slopes along the United States Southeast Atlantic Ocean from Miami to Jupiter, Florida for data collected at various times between 1999 and 2009.

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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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Between March 2001 and January 2002, available Hawaii pelagic longline vessel owners and/or operators were interviewed at Kewalo Basin and Honolulu Harbor to obtain cost and revenue information to support a cost-earnings analysis of this fleet. Any permitted Hawaii longline vessel that fished in 2000 and was in port during the interview period was approached. Survey questions focused on variable costs (costs incurred when the vessel actively fished) and fixed costs (costs incurred regardless of the number of trips the vessel took) as well as vessel characteristics, demographics, fishermen's comments, and the economic effects of recent management changes because of protected species issues. Operational and vessel costs were collected by personal interview with vessel owners, captains and crew. Revenue information was obtained from the Hawaii Department of Aquatic Resources commercial catch reports. In additon, commercial fishing industry members were also interviewed and provided pertinent ancillary information on the longline fleet. J. M. O'Malley and S.G. Pooley conducted this data collection.

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Providing Safe and Secure Neighborhoods for American Families

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The public use waybill sample provides a cleansed version of the waybill sample for public use. The sensitive shipping and revenue data is removed.

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The Firearms Tracing System (FTS) enables the National Tracing Center (NTC) to manage tracing activity on firearms either found by a police officers or Federal special agents. This tracing information assists law enforcement officials in identifying suspe

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Daily rainfall data, by site & date

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This dataset includes SeaBird MicroCat-37 data that was collected on four moorings deployed in the Hudson Strait, Canada from August 2008 to September 2009. Mooring A was located on the south side of the Strait. Moorings E, F, and G were all close together and on the north side of the Strait. Mooring E was located near the center, Mooring G was near the north shore, and Mooring F was in between Mooring E and G. Mooring A had four MicroCATs at depths of 25, 45, 100, and 160 meters. Mooring E had two MicroCATs at depths of 40 and 120 meters. Mooring F had four MicroCATs at depths of 25, 45, 80, and 320 meters. Mooring G had two MicroCATs at depths of 40 and 120 meters. The objective of this project is to measure how much fresh water enters the Hudson Bay System from the Arctic Ocean (along the northern side of Hudson Strait) and how much freshwater exits into the Labrador Sea (along the southern side). To make these measurements, four moorings were deployed for one year across the Hudson Strait. Mooring A was located on the south side of the Strait, while Moorings E, F, and G were located on the north side of the Strait.

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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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Global Earthquake Hazard Frequency and Distribution is a 2.5 by 2.5 minute global utilizing Advanced National Seismic System (ANSS) Earthquake Catalog data of actual earthquake events exceeding 4.5 on the Richter scale during the time period 1976 through 2002. To produce the final output, the frequency of an earthquake hazard is calculated for each grid cell, and the resulting grid cells are then classified into deciles (10 classes consisting of an approxiamately equal number of grid cells). The greater the grid cell value in the final output, the higher the relative frequency of hazard posed by earthquakes. This dataset is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR) and Columbia University Center for International Earth Science Information Network (CIESIN).

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This match identifies resident aliens who should have their Supplemental Security Income benefit payment suspended because they have voluntarily left the United States for a period of 30 consecutive days or more.

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NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) to support individual coastal States as part of the National Tsunami Hazard Mitigation Program's (NTHMP) efforts to improve community preparedness and hazard mitigation. These integrated bathymetric-topographic DEMs are used to support tsunami and coastal inundation mapping. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to various vertical and horizontal datums depending on the specific modeling requirements of each State. For specific datum information on each DEM, refer to the appropriate DEM documentation. Cell sizes also vary depending on the specification required by modelers in each State, but typically range from 8/15 arc-second (~16 meters) to 8 arc-seconds (~240 meters).

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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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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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<p>Mission design within unstable/stable regions needs unification of individual trajectories from different dynamical regimes. NASA needs an automated process to blend multiple dynamical systems to flow topologically different orbital arcs together easily.</p><ul><li>Develop an automated process which blends single and multi-body trajectory arcs</li><li>Combine  various trajectory design concepts into a unified and continuous path quickly and efficiently</li><li>End goal is a process and developmental software to blend different types of mission design trajectories</li></ul><p>We will perform the following:</p><p>Incorporate additional capabilities for generation of dynamical (Poincaré) maps to assess options and choose the best blend for orbit selection and initial conditions, and capabilities for any sun/planet or planet/moon combination (current algorithms can be reused).</p><p>Interface ATD with the Goddard Mission Analysis Tool (GMAT) for routine use by the GSFC Navigation and Mission Design Branch. Complete the structure of the algorithm such that future theoretical and technical developments can be easily incorporated.</p><p>End goal and product is a process and developmental software to blend different types of mission design trajectories into one optimal design. The process will have a theoretical basis but offers an automated structure and, ultimately, with an optimization step incorporated as well.</p><ol style="list-style-type: lower-alpha;"><li>Demonstrate the capability to incorporate trajectory arcs from the following regimes:  Earth and Lunar conic; Earth-Moon libration; and Earth-Sun to meet the mission requirements for upcoming missions such as JWST, Earth-Moon libration habitat orbits, and offer a design space for trade-offs.</li><li>Begin application to other Sun-planet systems, EML2-Mars transfers, Earth-Moon resonant orbit design, and asteroids encounters for OSIRIS applications.</li><li>Establish ATD as a routine mission design process for efficient combination of various trajectory design concepts into a unified and continuous path.</li></ol><p>Leverage of a NASA Space Technology Research Fellowship (NSTRF).</p><p> </p>

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ABSTRACT: This data set consists of a southern African subset of the Climate, People, and Environment Program (CPEP) Global River Discharge Data Set. The CPEP global river discharge data set is a compilation of monthly mean discharge data for over 2600 sites worldwide. The period of record is variable, from 3 years to greater than 100.

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These GIS data contain stream reaches that were designated as "critical habitat" for the Upper Columbia River Spring-run (UCR) Chinook salmon Evolutionarily Significant Unit (ESU). The critical habitat is defined in the National Marine Fisheries Service's (NOAA Fisheries) final rule to designate critical habitat for 12 ESUs of Pacific salmon and steelhead. The fish distribution in this data set was compiled from data gathered from the the Washington Department of Fish and Wildlife (WDFW). Additionally, we received comments from the public, federal agencies, and state and tribal salmon co-managers during the rule making process. A detailed description of this process can be found in the following document: Final Assessment of NOAA Fisheries' Critical Habitat Analytical Review Teams For 12 Evolutionarily Significant Units of Pacific Salmon and Steelhead, NOAA Fisheries Protected Resources Division, 2005. - The original source of data is 1:24,000 scale fish distribution data from WDFW. We have excluded portions of the range of the ESU from the final designation of critical habitat. Exclusions are based on economic and other relevant impacts considered during our analysis, as described in our 4(b)(2) Report. We also excluded Indian lands and Habitat Conservation Plans (HCP). However, due to legal concerns about the disclosure of the location of HCP and Indian lands, as well as questions about the accuracy of the data, we do not identify the location of these exclusions within this data set. For exact legal descriptions of critical habitat please consult the Federal Register notice.

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This Comprehensive Conservation Plan CCP was written to guide management on Vieques NWR for the next 15 years. This plan outlines the Refuge vision and purpose and describes how Vieques NWR will contribute to the overall mission of the Refuge System. The plan provides an introduction to the Refuge, an overview of the CCP process, a description of the affected environment, alternatives, and environmental consequences. Key planning issues include: habitat management, species management, and public use.

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This status report summarizes background information on the habitat, biology, and ecology of the Dakota skipper Hesperia dacotae based on numerous publications, unpublished reports and observations, and an expert interview process. It also includes the best available information on the current distribution, population size and status of the species in Minnesota, North Dakota and South Dakota, based on recently completed field surveys. Part Two discusses conservation issues and management needs.

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This data set depicts Designated Critical Habitat for Stellar Sea Lions in California. It is meant as a general locational reference for these designated areas. The final rule of designation was made by the National Oceanic and Atmospheric Administration, National Marine Fisheries Service in 1993. Please refer to the Federal Register Notice titled "Designated Critical Habitat; Stellar Sea Lion" (Vol. 58, No. 165, Aug. 27,1993, 50 CFR Part 226) for details and the legal definition.

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The Prompt Payment Act, along with the Debt Collection Improvement Act of 1996, requires the timely payment of commercial obligations for supplies and services using electronic funds transfer (EFT).

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This project is a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; the University of Hawaii; and Analytical Laboratories of Hawaii, LLC. The goal of the work was to develop coral reef mapping methods and compare benthic habitat maps generated by photointerpreting georeferenced color aerial photography, hyperspectral and IKONOS satellite imagery. The cost effectiveness of acquisition and processing of remotely sensed imagery varies significantly between types of platforms deployed and imaging systems used to acquire the data. As a result, it is important to identify the strengths and weaknesses of the map products prepared from each of the types of digital imagery. These Accuracy Assessment point data were generated to assess the accuracy of the individual maps created from the three types of source information.Testing showed that the ability to generate benthic habitat maps with an overall accuracy of 90% to 95% confidence interval is reaching a threshold using imagery with three meter pixel size allowing for spectral enhancement of the imagery with reduced resolution. Increasing the intensity of field observation can partially compensate for this decrease in accuracy of the maps generated from the largest pixels. Habitat maps prepared from IKONOS satellite imagery should be accompanied by field observation wherever possible.

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This data set was generated by the Finish Academy of Science from magnetic data collected during the International Magnetospheric Study, 1976-1978. The data were collected by an array of digital magnetometers located in Finland. The data are values of the earth's magnetic field components X, Y, and Z. The values are recorded on magnetic tape in BINARY format.

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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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This report summarizes findings of black bear distribution and population trends throughout Georgia and evaluates black bear harvest trends from 1992 to 2002. Throughout Georgia, bear populations are stable to increasing in size. Bait station surveys were conducted to determine distribution and population trends of bears in north and south Georgia during July of 2002. Results of these surveys, expressed as percent bait station hits, were 53.7 and 32.3 for stations in north and south Georgia respectively, continuing the overall trend of increasing visitation rates. Concurrently, bear harvest in the north, central, and south Georgia populations were 212, 0, and 50 bears respectively.