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Annual data on calls by oceangoing vessels of 10,000 deadweight (dwt) or greater at US and world ports. Vessel details are also included.

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Photographs of investigation that took place in October 1969. Photographs show areas where suspect came across.

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The GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar IFloodS data set was collected from April 30, 2013 to June 16, 2013 near Traer, Iowa as a part of the Global Precipitation Measurement Mission (GPM) Iowa Flood Studies (IFloodS) campaign. The NASA NPOL radar, developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric, Doppler research radar that collected and operated nearly continuously during the IFloodS field campaign. The GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar IFloodS data is available in Universal [Radar] Format (UF).

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APXS, HAZCAM, MB, MI, MTES, NAVCAM, PANCAM, SPICE

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The TIMS imagery, along with the other remotely sensed images, was collected to provide spatially extensive information over the primary study areas. This information includes detailed land cover, biophysical parameter maps such as fraction of photosynthetically active radiation (fPAR), leaf area index (LAI), and surface thermal properties.

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A map service on the www that depicts sixty-seven maps from Royce’s 1897 report that have been scanned, georeferenced in JPEG2000 format, and digitized to create this feature class of cession maps. Each Royce map was georeferenced against one or more of the following USGS 1:2,000,000 National Atlas Feature Classes contained in ..\NatlAtlas_USGS.gdb: cities_2mm, hydro_ln_2mm, hydro_pl_2mm, plss_2mm, states_2mm. Cessions were digitized as a file geodatabase (GDB) polygon feature class, projected as NAD83 USA_Contiguous_Lambert_Conformal_Conic, which is the same projection used to georeference the maps. The feature class was later reprojected to WGS 1984 Web Mercator (auxillary sphere) to optimize it for the Tribal Connections Map Viewer. Polygon boundaries were digitized as to not deviate from the drawn polygon edge to the extent that space could be seen between the digitized polygon and the mapped polygon at a viewable scale. Topology was maintained between coicident edges of adjacent polygons. Each cession was labeled with a unique cession number, which was entered into the feature class as a field attribute. The cession number serves as the link referencing relationship classes, joining additional attribute information from statewide NAGRPA tables, and Cession Dates, (as transcribed from Royce's Schedule of Land Cessions.)

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The color 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 Satellite View of Alaska, with Shaded Relief map layer is a 200- meter-resolution simulated-natural-color image of Alaska. Vegetation is generally green, with darker greens representing forest and lighter greens representing vegetative tundra. Vegetative tundra regions are composed of shallow rooted plants. Very bright areas, such as snow and ice, are colored blue. The image was produced by combining Landsat Thematic Mapper (TM) imagery from the Landsat 4 and Landsat 5 satellites with relief enhanced by shading.

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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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These data are a derived product of the NOAA VDatum tool and they extend the tool's Mean Higher High Water (MHHW) tidal datum conversion inland beyond its original extent. VDatum was designed to vertically transform geospatial data among a variety of tidal, orthometric and ellipsoidal vertical datums - allowing users to convert their data from different horizontal/vertical references into a common system and enabling the fusion of diverse geospatial data in desired reference levels (http://vdatum.noaa.gov/). However, VDatum's conversion extent does not completely cover tidally-influenced areas along the coast. For more information on why VDatum does not provide tidal datums inland, see http://vdatum.noaa.gov/docs/faqs.html. Because of the extent limitation and since most inundation mapping activities use a tidal datum as the reference zero (i.e., 1 meter of sea level rise on top of Mean Higher High Water), the NOAA Office for Coastal Management created this dataset for the purpose of extending the MHHW tidal datum beyond the areas covered by VDatum. The data do not replace VDatum, nor do they supersede the valid datum transformations VDatum provides. However, the data are based on VDatum's underlying transformation data and do provide an approximation of MHHW where VDatum does not provide one. In addition, the data are in a GIS-friendly format and represent MHHW in NAVD88, which is the vertical datum by which most topographic data are referenced. Data are in the UTM NAD83 projection. Horizontal resolution varies by VDatum region, but is either 50m or 100m. Data are vertically referenced to NAVD88 meters.

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The data contain records of suspects in federal criminal matters received by United States attorneys or filed before the United States magistrates during fiscal year 2009. The data were constructed from the Executive Office for United States Attorneys (EO

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This data set contains sensitive biological resource data for rare terrestrial plants in coastal Rhode Island, Connecticut, New York, and New Jersey. Vector points in this data set represent rare plant species occurrences. Species-specific abundance, seasonality, status, life history, 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 Rhode Island, Connecticut, New York, and New Jersey. 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 the HABITATS (Habitat and Plant Polygons) data layer, a part of the larger Rhode Island, Connecticut, New York, and New Jersey ESI database, for additional habitat information.

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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 projection is State Plane Coordinate System 1983. The horizontal accuracy meets Guidelines and specifications for DFIRM production.

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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 Population, Landscape, And Climate Estimates, Version 2 (PLACE II) dataset contains estimates of national-level aggregations of territorial extent and population size by biome, climate zone, coastal proximity zone, elevation zone, and population density zone, a compendium of nearly 300 variables for 228 countries. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

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The Midwater Assessment and Conservation Engineering (MACE) program of the Alaska Fisheries Science Center (AFSC; NOAA National Marine Fisheries Service) conducted an acoustic-trawl (AT) stock assessment survey in the eastern Bering Sea during the summer of 2010 to estimate the distribution and abundance of walleye pollock (Gadus chalcogrammus). The survey was conducted between 5 June and 7 August, 2010, along the eastern Bering Sea (EBS) shelf and in the Cape Navarin area of Russia. The survey was divided into three segments; leg 1 was 5 June to 24 June, leg 2 was 29 June to 16 July, and leg 3 was 20 July to 7 August, 2010. The survey was conducted onboard NOAA Ship Oscar Dyson, a 64 meter stern trawler equipped with acoustic and oceanographic instrumentation in addition to trawling and biological sampling capabilities. The primary instrumentation for the survey was a Simrad EK60 split-beam echosounder system utilizing five frequencies (18, 38, 70, 120, and 200 kHz) and a Simrad ME70 multibeam echosounder, with the ME70 transmit pulse synchronized to the EK60 system. This data set includes Kongsberg Simrad ME70 raw multibeam data, Seabird CTD data, and ship's navigation/oceanographic/meteorological sensor data.

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Listing of Illinois Area Agencies on Aging. In accordance with Federal Older American's Act regulations, the Illinois Department on Aging has divided Illinois into 13 Planning and Service Areas (PSAs). The 13 Planning and Service Areas in Illinois are each managed and served by an Area Agency on Aging. The Department works in partnership with these agencies: 12 not-for-profit corporations and one unit of local government, the City of Chicago. Area Agencies have the primary task of planning and coordinating services and programs for older people in their respective areas. The Area Agencies receive funding from the Department based on a formula which takes into consideration the number of older citizens and minorities in that area, as well as the number living in poverty, in rural areas, and alone. Like the Department on Aging, Area Agencies are not, as a rule, direct service providers. Area Agencies contract with local agencies which provide services to the older people who live in the same community.

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The word volcano is used to refer to the opening from which molten rock and gas issue from Earth's interior onto the surface, and also to the cone, hill, or mountain built up around the opening by the eruptive products. This slide set depicts explosive eruptions, lava fountains and flows, stream eruptions, and fissure eruptions from 19 volcanoes in 13 countries. Volcano types represented in this set include strato, cinder cone, complex, fissure vent, lava dome, shield, and island-forming. Perhaps no force of nature arouses more awe and wonder than that of a volcanic eruption. Volcanoes can be ruthless destroyers. Primitive people offered sacrifices to stem the tide of such eruptions and many of their legends were centered around volcanic activity. Volcanoes are also benefactors. Volcanic processes have liberated gases of the atmosphere and water in our lakes and oceans from the rocks deep beneath Earth's surface. The fertility of the soil is greatly enhanced by volcanic eruptive products. Land masses such as islands and large sections of continents may owe their existence entirely to volcanic activity. The word "volcano" is used to refer to the opening from which molten rock and gas issue from Earth's interior onto the surface, and also to the cone, hill, or mountain built up around the opening by the eruptive products. The molten rock material generated within Earth that feeds volcanoes is called magma and the storage reservoir near the surface is called the magma chamber. Eruptive products include lava (fluid rock material) and pyroclastics or tephra (fragmentary solid or liquid rock material). Tephra includes volcanic ash, lapilli (fragments between 2 and 64 mm), blocks, and bombs. Low viscosity lava can spread great distances from the vent. Higher viscosity produces thicker lava flows that cover less area. Lava may form lava lakes of fluid rock in summit craters or in pit craters on the flanks of shield volcanoes. When the lava issues vertically from a central vent or a fissure in a rhythmic, jet-like eruption, it produces a lava fountain. Pyroclastic (fire-broken) rocks and rock fragments are products of explosive eruptions. These may be ejected more or less vertically, then fall back to Earth in the form of ash fall deposits. Pyroclastic flows result when the eruptive fragments follow the contours of the volcano and surrounding terrain. They are of three main types: glowing ash clouds, ash flows, and mudflows. A glowing ash cloud (nue ardente) consists of an avalanche of incandescent volcanic fragments suspended on a cushion of air or expanding volcanic gas. This cloud forms from the collapse of a vertical ash eruption, from a directed blast, or is the result of the disintegration of a lava dome. Temperatures in the glowing cloud can reach 1,000 deg C and velocities of 150 km per hour. Ash flows resemble glowing ash clouds; however, their temperatures are much lower. Mudflows (lahars) consist of solid volcanic rock fragments held in water suspension. Some may be hot, but most occur as cold flows. They may reach speeds of 92 km per hour and extend to distances of several tens of kilometers. Large snow-covered volcanoes that erupt explosively are the principal sources of mud flows. Explosions can give rise to air shock waves and base surges. Air shock waves are generated as a result of the explosive introduction of volcanic ejecta into the atmosphere. A base surge may carry air, water, and solid debris outward from the volcano at the base of the vertical explosion column. Volcanic structures can take many forms. A few of the smaller structures built directly around vents include cinder, spatter, and lava cones. Thick lavas may pile up over their vents to form lava domes. Larger structures produced by low viscosity lava flows include lava plains and gently sloping cones known as a shield volcanoes. A stratovolcano (also known as a composite volcano) is built of successive layers of ash and lava. A volcano may consist of two or more cones side by side and is referred to as compound or complex. Sometimes a violent eruption will partially empty the underground reservoir of magma. The roof of the magma chamber may then partially or totally collapse. The resulting caldera may be filled by water. The volcanic structure tells us much about the nature of the eruptions.

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Provides annual renewable energy consumption by source and end use between 1989 and 2008. This data was published and compiled by the Energy Information Administration.

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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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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 tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. 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 a variety of vertical datums and horizontal datum of World Geodetic System of 1984 (WGS84). Cell size for the DEMs ranges from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).

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Bathymetry for Willapa Bay was derived from eleven surveys containing 75,491soundings. Four older, less accurate, overlapping surveys were entirelyomitted before tinning. The overlap from two older, less accurate surveys wasomitted before tinning. The average separation between soundings was 69meters. Eight of the surveys dated from 1939 and three surveys, located in thenortheastern portion of the bay, dated from 1954. The total range of soundingdata was 2.1 meters to -30.8 meters at mean low water. Mean high water valuesbetween 2.1 and 2.7 meters were assigned to the shoreline. Four points were found that were not consistent with the surrounding data. These were removed prior to tinning. DEMgrid values outside the shoreline (on land) were assigned null values (-32676).Willapa Bay has eleven 7.5 minute DEMs and two one degree DEMs. The 1degree DEMs were generated from the higher resolution 7.5 minute DEMswhich covered the estuary. A Digital Elevation Model (DEM) contains aseries of elevations ordered from south to north with the order ofthe columns from west to east. The DEM is formatted as one ASCIIheader record (A- record), followed by a series of profile records(B- records) each of which include a short B-record header followedby a series of ASCII integer elevations (typically in units of 1centimeter) per each profile. The last physical record of the DEM isan 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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The primary purpose of the School Crime Supplement (SCS) is to obtain additional information about school-related victimizations so that policymakers, academic researchers, practitioners at the federal, state and local levels, and special interest groups

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During 1975, the U.S. Geological Survey (USGS) conducted a seismic-reflection survey utilizing Uniboom seismics in eastern Rhode Island Sound aboard the Research Vessel Asterias. This cruise totalled 8 survey days. Data from this survey were recorded in analog form and archived at the USGS. Due to recent interest in the geology of Rhode Island Sound and in an effort to make the data more readily accessible while preserving the original paper records, the seismic data from this cruise were scanned and converted to TIFF images and SEG-Y data files. Navigation data were converted from LORAN-C time delays to latitudes and longitudes, which are available in ESRI shapefile format and as eastings and northings in space-delimited text format.

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The original intent of this site was to alleviate confusion about shorelines generated by National Oceanic and Atmospheric Administration (NOAA) agencies. However, the scope was expanded to include other commonly used federal shorelines. As a result, the site includes detailed descriptions for seven federal vector shorelines, many of which are derived from the same raw data sources. Because the characteristics of these shorelines can be similar, the differences among them can often be explained best by describing the specific purposes for which they were created.