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The objective of this study is to characterize and quantify the wetland vegetation present on Benton Lake NWR in terms of individual species, as well as vegetation types habitat types and community types. This will be related spatially on a map created to present the vegetation data at a scale to show individual landform and vegetational features, such as small nesting islands and patches of bulrush. The project was designed for quantifying vegetative habitat values and liabilities, as well as for analyzing potential responses to various water management alternatives.

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This data set contains vector lines and polygons representing the shoreline and coastal habitats of Northwest Arctic, Alaska classified according to the Environmental Sensitivity Index (ESI) classification system. This data set comprises a portion of the ESI for Northwest Arctic, 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.

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This Light Detection and Ranging (LiDAR) LAS dataset is a topographic survey conducted for a coalition of GIS practitioners, including the Florida Division of Emergency Management (FDEM), Florida Water Management Districts, Florida Fish and Wildlife Conservation Commission, Florida Department of Environmental Protection, Army Corps of Engineers Jacksonville District, and other state and federal agencies. The goal for this project is to use the LiDAR data as new elevation inputs for updated SLOSH data grids. The ultimate result is the update of the Regional Hurricane Evacuation Studies (RHES) for the state. The State of Florida Division of Emergency Management LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor. Data were collected for 1019 square miles (includes the FDEM extent and the buy up area) within Brevard County, Florida from Sept 15, 2007 to Jan 16, 2008. This is a classified lidar data set. The data are classified: 1 = Unclassified, 2 = Ground (Bare Earth), 7 = Noise and 9 = Water. The FDEM Baseline Specifications required a maximum post spacing of 4 feet, however, the PDS (Program and Data Solutions) team required a much higher point density of its subcontractors in order to increase the probability of penetrating dense foliage during the mandated summer acquisition; with nominal post spacing of 0.7 meters per flight line and 50% sidelap between flight lines, the average point density is 4 points per square meter.

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A fisherman found a human skeleton on the beach of St. Vincent Island.

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This map layer portrays the county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands, by showing the counties as areas. The map layer was created by extracting county polygon features from the CENSUS 2006 TIGER/Line files produced by the U.S. Census Bureau. These files were then merged into a single file. This is a revised version of the July 2012 map layer.

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The Foreign Service Act of 1980 mandated a comprehensive revision to the operation of the Department of State and the personnel assigned to the US Foreign Service. As the statutory authority, the Foreign Affairs Manual (FAM), details the Department of State's regulations and policies on its structure and operations. Currently, there are over 25,000 pages of policies and procedures published in 16 volumes of the FAM and 38 corresponding sections of the Foreign Affairs Handbook (FAH). Changes to the Department's organizational structure or the way it conducts U.S. Government business will usually trigger the need to update the FAM or FAHs. 1 FAM 100 contains documentation of the following administrative components: - 110 Statements of Common Responsibilities of Regional Bureaus - 120 Bureau of African Affairs (AF) - 130 Bureau of East Asian and Pacific Affairs (EAP) - 140 Bureau European and Eurasian Affairs (EUR) - 150 Bureau of Western Hemisphere Affairs (WHA) - 160 Bureau of Near Eastern Affairs (NEA) - 170 Bureau of South and Central Asian Affairs (SA)

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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)

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In cooperation with the Ohio Department of Transportation and the U.S. Department of Transportation, Federal Highway Administration, the USGS developed a database of geomorphic data for a sampling of unregulated natural alluvial streams in Ohio. The vector point shapefile that these metadata describe is based on this geomorphic database and consists of 50 points and associated attributes. The database was developed as part of a study to develop methods to estimate bankfull characteristics of Ohio streams and to relate geomorphic characteristics of Ohio streams to peak streamflows of selected recurrence intervals. The results of the study are presented in a report by Sherwood and Huitger (2005). The database developed for this study consists of geomorphic, basin, and flood-frequency characteristics for 50 study sites in Ohio, of which 40 sites are near streamflow-gaging stations. Field surveys were done at each site to collect the geomorphic data. Bankfull indicators were identified and evaluated, cross-section and longitudinal profiles were surveyed, and bed- and bank-material were sampled. Field data were analyzed to determine various geomorphic characteristics such as bankfull width, bankfull mean depth, bankfull cross-sectional area, bankfull discharge, streambed slope, and bed- and bank-material particle-size distribution. The various geomorphic characteristics were analyzed by means of a combination of graphical and statistical techniques. These techniques resulted in a set of regional curves, simple-regression (drainage-area only) equations, and multiple-regression equations to estimate bankfull width, bankfull mean depth, bankfull cross-sectional area, and bankfull discharge. Explanatory variables included drainage area, main-channel slope, main-channel elevation index, median bed-material particle size, bankfull cross-sectional area, and local-channel slope. Average standard errors of prediction for bankfull width equations ranged from 20.6 to 24.8 percent; for bankfull mean depth, 18.8 to 20.6 percent; for bankfull cross-sectional area, 25.4 to 30.6 percent; and for bankfull discharge, 27.0 to 78.7 percent. The simple-regression (drainage-area only) equations have the highest average standard errors of prediction. The multiple-regression equations-in which the explanatory variables included drainage area, main-channel slope, main-channel elevation index, median bed-material particle size, bankfull cross-sectional area, and local-channel slope-have the lowest average standard errors of prediction. Statistical and graphical analyses were done to investigate development of methods to estimate flood-peak discharges from geomorphic characteristics based on the 40 study sites at streamflow-gaging stations. The logarithms of the annual peak discharges for each site were fit by a Pearson Type III frequency distribution to develop a flood-peak-frequency relation for each site. The peak-frequency data were related to geomorphic, basin, and climatic variables of the 40 study sites by multiple-regression analysis. The analyses resulted in a set of multiple-regression equations to estimate flood-peak discharge having recurrence intervals of 2, 5, 10, 25, 50, and 100 years from bankfull cross-sectional area, in which the average standard errors of prediction are 31.6, 32.6, 35.9, 41.5, 46.2, and 51.2 percent, respectively. Sherwood, J.M. and Huitger, C.A., 2005, Bankfull Characteristics of Ohio Streams and Their Relation to Peak Streamflows: U.S. Geological Survey Scientific Investigations Report 2005-5153

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These surveys were part of a series of pretests conducted during the early 1970s to reveal problems associated with doing a nationwide study on victimization. They were done to determine the most effective reference period to use when questioning responde

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Searchable State statutes for issues related to child abuse and neglect, child welfare, and adoption.

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The NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) is the home (archive) of Precipitation, Atmospheric Chemistry and Dynamics, and information, as well as data and information from other related disciplines.

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Monthly Enrollment by Contract

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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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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 modeling 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 Canadian Hydrographic Service (CHS), the Puget Sound Lidar Consortium (PSLC), the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), Canadian Digital Elevation Data (CDED) and other international, federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datums of Mean High Water (MHW) and North American Vertical Datum of 1988 (NAVD 88) and horizontal datum of World Geodetic System 1984 (WGS 84). Grid spacings for the DEMs range from 1/3 arc-second (~10 meters) to 3 arc-seconds (~30 meters).

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While traveling to Venus, electronics and instruments go through enormous pressure, temperature, and atmospheric environment changes. In the past, this has caused problems with the life expectancy of electronics and instruments. Cornerstone Research Group, CRG, proposes to develop a Sialyte(TM)-based composite pressure vessel to perform in such extreme environments. Sialyte(TM) is an inorganic resin that can operate at high temperatures and pressures and can prevent buckling when used as a sandwich structure core (good compressive strengths). Sialyte(TM) has thermal properties similar to a ceramic material, yet processing characteristics like an organic polymer. Sialyte(TM) is also resistant to many chemicals. CRG previously developed this material and is currently using it for structural and protective applications. By using Sialyte(TM) in combination with Nextel(TM) ceramic fabric, CRG can fabricate a filament wound structure using conventional composite manufacturing processes that will perform in extreme environments. The use of filament winding for fabrication will allow for many possible design options in an affordable manner. A Sialyte(TM)-based composite pressure vessel tank will not only meet but exceed NASA's requirements for a pressure vessel for extreme environments.

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During this Phase II program we propose to build on the key aspects of the nanodroplet encapsulation technology to demonstrate optimized formulation and encapsulation of protein drugs. The ability of the nanodroplet generator to produce nanoscale drug "containers" with designer characteristics provides us with a distinct advantage in targeting protein containing vesicles to diseased cells and organs. We plan to target cancerous cells and tumors using our engineered drug vesicles, with specifically designed lipid outer layers as well as targeted surface functionalization to improve drug uptake by the cells, reduce toxicity, and otherwise improve safety and efficacy. The optimized vesicles will result in improved stability and enhanced control of pharmacokinetics in both cell lines and animal models.The nanodroplet platform will be scaled up to produce gram quantities of engineered vesicles with a monodisperse size distribution and a target size of 200nm.

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This report summarizes Refuge accomplishments on Fort Niobrara NWR from January through March, 1936.

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This data product identifies which countries, under APHIS phytosanitary rules, are eligible to export to the United States the fresh fruits and vegetables that are most important in the American diet. Increased trade in fresh fruits and vegetables provides U.S. consumers with a variety of benefits including the possibility of improved nutrition by making these products available year-round. Imports of these products are regulated by USDA's Animal and Plant Health and Inspection Service (APHIS) to reduce the risk of inadvertent entry of pests and diseases that could harm agriculture, public health, navigation, irrigation, natural resources, or the environment. This data product identifies which countries, under APHIS phytosanitary rules, are eligible to export to the United States the fresh fruits and vegetables that are most important in the American diet. Current data represent country eligibility as of June 2012. Previous data represent eligibility in June of 2008 through 2011 and in February of 2007. Data on the absolute and relative importance of these countries in international production and trade, individually and in aggregate, are also included. This data product supports the objectives of the Program for Research on the Economics of Invasive Species (PREISM) under which ERS funded research to improve the economic basis of decisionmaking concerning invasive species issues, policies, and programs between 2003 and 2008.

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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 modeling 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 the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Grid spacings for the DEM ranges from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 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; 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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Net Ecosystem Carbon Flux is defined as the year-over-year change in Total Ecosystem Carbon Stock, or the net rate of carbon exchange between an ecosystem and the atmosphere. The data of this variable were generated by the USGS LandCarbon project using the General Ensemble Biogeochemical Modeling System (GEMS) based on selected IPCC emissions scenarios, biogeochemical models, and climate datasets. The spatial extent is the conterminous United States and the temporal extent is from 1993 through 2050. These data are projected to Albers Equal Area in the NAD83 datum at a resolution of 2000 meters and are spatially gridded in GeoTiff format. Units of measure are expressed in g Carbon/m2/yr. Positive values indicate sequestration of carbon from the atmosphere (carbon sink).

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A sample of 39 redhead ducks was collected from Redfish and Baffin Bays on the Texas Coast during the winter of 19881989 to obtain baseline information on contaminant concentrations and determine if contaminant levels changed over winter. The sample was distributed approximately evenly between sexes, bays, and two collection periods early and late winter. Redhead breast muscle was analyzed for organochlorines and livers were analyzed for trace elements. A11 organochlorines were below detection in breast muscle. Boron, copper, molybdenum and selenium accumulated in redheads utilizing Redfish Bay. Silver accumulated in redheads wintering at both bays. The concentrations of boron, molybdenum, and selenium were generally below levels considered harmful. The concentrations of copper and silver in some redheads were elevated when compared to other studies, however, the biological significance of these concentrations is presently unknown. Lead was found at concentrations known to be acutely toxic in two redheads collected from Redfish Bay and may be the result of ingested leadshot.

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ABSTRACT: This data set includes biophysical measurements collected in 2009 from five New England experimental forest stations: Bartlett Experimental Forest, Harvard Forest, Howland Research Forest, Hubbard Brook Experimental Forest, and the Penobscot Experimental Forest. Howland measurements were repeated in 2010 and one site in the Sierra National Forest, California, was surveyed in 2008. Biomass in respective measurement plots was calculated with allometric equations using measured diameter at breast height (DBH) for trees greater than 10 cm and species identification. Within selected subplots, the number of stems with diameters less than 10 cm were counted and classified to allow for an estimate of biomass for these stems. There are 16 data files provided that present the biophysical measurement results and the biomass estimates in ASCII comma-separated format. For a subset of sites and plots (Bartlett Experimental Forest, Harvard Forest and Howland Research Forest), more intensive inventories were done in coordination with Echidna lidar imaging (Strahler et al., 2008). In these intensive collections, the stem location, species, DBH and live/dead status were recorded for all stems with total stem height and canopy dimensions recorded for every tenth stem. In addition, for stems below 10 cm DBH, species and count were recorded in a subplot of each intensive inventory plot. See the related data set Strahler et al., 2011.Investigators from Federal and university laboratories conducted these field campaign to make estimates of forest biophysical attributes that will prove useful in comparisons with airborne lidar (LVIS) and UAVSAR remote sensing acquisitions. The North American Carbon Program (NACP) is a multi-disciplinary research program designed to obtain scientific understanding of North America's carbon sources and sinks and of the changes in carbon stocks needed to meet societal concerns, and to provide tools for decision makers. NACP began in 2002 and continues to date. The NACP data collection contains continental carbon budgets, dynamics, processes, and management of the sources and sinks of carbon dioxide, methane, and carbon monoxide in North America and in adjacent ocean regions.

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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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In order to apply a landscapescale approach to management of the lands, natural communities of the West Mountain Wildlife Management Area and Nulhegan Basin Wildlife Refuge were inventoried and mapped. Simultaneous with natural community mapping, an inventory of rare, uncommon and invasive vascular plants was conducted. The results of that work are presented in this report including detailed lists and descriptions of these plants.