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These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Science Center (WHSC). 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 sea-floor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters (5-30 m deep) of Massachusetts between the New Hampshire border and Cape Cod Bay. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (http://woodshole.er.usgs.gov/project-pages/coastal_mass/html/current_map.html). This spatial dataset is from the study area located between Duxbury and Hull Massachusetts, and consists of high-resolution geophysics (bathymetry, backscatter intensity, and seismic reflection) and ground validation (sediment samples, video tracklines and bottom photographs). The data were collected during four separate surveys conducted between 2003 and 2007 (NOAA survey H10993 in 2003, USGS-WHSC survey 06012 in 2006, and USGS-WHSC surveys 07001 and 07003 in 2007) and cover more than 200 square kilometers of the inner continental shelf.

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The data was derived from US Coast Guard raw vessel point returns and preprocessed by ASA (Applied Science Associates), to one minute point interCAls. The data returns are in UTM zone 10 North and UTM zone 11 North. Each vessel type is analyzed seperately based on vessel type data (Cargo, Fishing, Passenger, Tanker, Tow, Tow over 200M, Tugs) included in the AIS dataset. A transit is counted for each unique vessel by MMSI traveling through each 1200 meter by 1200 meter aliquot each day. A running count is continued for each vessel type by aliquot by month, and then the months are summed to provide annual data. Although traffic diminishes significantly after 20nm from shore, the returns from line of site AIS signals also fade beyond 40nm. Data points input into the density analysis beyond 40nm are considered to be less reliable than closer to shore. For the 2011 data, separate vessel types were also extracted separately and run in addition to the full dataset. These separate counts are included in the attribute table and include Cargo Vessels, Fishing Vessels, Tankers, Passenger Ships, Tugs, Towing Vessels less than 200 meters in length, and Towing Vessels more than 200 meters in length.

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This survey queried chief prosecuting attorneys of state prosecutorial districts (district attorneys, commonwealth attorneys, etc.) about the prosecution of felony cases within their jurisdictions during 1989-1990. Questions regarding the prefiling, filin

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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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SSI Eligibility & Payment.

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NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support individual coastal States as part of the National Tsunami Hazard Mitigation Program's (NTHMP) efforts to improve community preparedness and hazard mitigation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources including: NOAA; the U.S. Geological Survey (USGS); the Puget Sound Lidar Consortium (PSLC); and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical datum of NAVD 88 and horizontal datum of World Geodetic System 1984 geographic (WGS 84). Grid spacing for the DEM is 1/3 arc-second (~10 meters).

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The Attorney Search Warrant (ASW) application is used by the Office of Enforcement Operations to track search warrant requests received from the U.S. Attorney Offices and other federal agencies. The application records detail information on the requestor,

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This dataset contains a partial list of Child Care Facility locations (810 Family Day Care Home). This data only includes information on Family Day Care Homes with a capacity of more than 8.

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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.