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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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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. Regions are four groupings of States (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.

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This map service includes energy related datasets presenting the results of a petroleum resource assessment of Northern Afghanistan, and other data used in the petroleum assessment. Geologic, structural, field, well, political, and other GIS layers covering Afghanistan, Northern Afghanistan and adjacent areas, along with associated geochemical and other data tables pertinent to a petroleum assessment are included. The purpose of this GIS is to provide the basic data layers and tables required to support the petroleum assessment, data for further exploration and development, and an index of known data

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This plan is intended to serve as a step by step guide to emergency oil spill response in the event that such a spill threatens refuge lands and wildlife. Because it may take several hours before professional oil spill responders and cleanup crews arrive, the emergency efforts of refuge personnel may play a key role in minimizing impacts to refuge lands and wildlife resources. The primary goal in this emergency response is to minimize the impacts on the trust resources of the U.S. Fish and Wildlife Service Service. Appendix A lists the priorities for Service response, as outlined in the Services Response Plan for Discharges of Oil and Releases of Hazardous Substances Service Contingency Plan SCP. For specifics regarding legal authorities and responsibilities, refer to the Service Contingency Plan. This plan pertains to spills of petroleum products only. Because of the threat to human health involved in responding to hazardous substances spills, evacuation may be the appropriate response. There are few Service personnel who are trained for hazardous spill response. The Service policy states that Service personnel will not enter hazardous waste sites without specific Regional clearance. Additionally, the likelihood of a petroleum spill in the vicinity of Laguna Atascosa is greater than that of a hazardous substance spill, since most barges carrying hazardous waste are doublehulled versus the singlehulled barges used for petroleum products. Following is a numbered, step by step response sequence that should be followed in the event an oil spill is discovered or reported to the refuge. The three most likely spill scenarios are covered in the response sequence. These three scenarios Appendix B, Figure B1, are: A A pipeline rupture at the Upper Cayo Atascosa crossing at FM 106, B A barge collision or spill in the Gulf Intracoastal Waterway GIWW C A barge collision or spill in the Harlingen Ship Channel.

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There are two methods for a hospital to qualify for the Medicare DSH adjustment. The primary method is for a hospital to qualify based on a statutory formula that results in the DSH patient percentage. The DSH patient percentage is equal to the sum of the percentage of Medicare inpatient days attributable to patients eligible for both Medicare Part A and Supplemental Security Income (SSI), and the percentage of total inpatient days attributable to patients eligible for Medicaid by not Medicare Part A.

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Digital orthographic imagery datasets contain georeferenced images of the Earth's surface, collected by a sensor in which object displacement has been removed for sensor distortions and orientation, and terrain relief. Digital orthoimages have the geometric characteristics of a map, and image qualities of a photograph. (Source: Circular A-16, p. 16) These files contain Digital Orthophoto files for the State of Virginia developed from imagery acquired in spring 2006 and 2007. In the spring of 2006, the Commonwealth of Virginia, through the VGIN of the VITA contracted with the Sanborn Map Company to provide aerial data acquisition, ground control, aerotriangulation and development of statewide DTM and digital orthophotography. Approximately 15% of the State was acquired in the year 2006 and the balance in 2007. All data acquired in 2006 is jurisdiction based. The data acquired in 2007 includes overlap along the boundaries of jurisdictions captured in the previous year 2006. This ensures each jurisdiction has full coverage from either Year 2006 or 2007 without 'mixing' imagery vintage along the edge of a jurisdiction. The project encompasses the entire land area of the Commonwealth of Virginia. The State boundary is buffered by 1000'. Coastal areas of the State bordering the Atlantic Ocean or the Chesapeake Bay are buffered by 1000' or the extent of man-made features extending from shore. The entire State was intially designed to support 1"=200' (1:2400) scale mapping. Jurisdictions throughout the State were provided an option to upgrade to a 1"=100' (1:1200) map scale. All data development processes for the DTM conform to the ASPRS Draft Aerial Photography Standards (1995) and Model Virginia Map Accuracy Standards (1992), which generally follow the ASPRS Accuracy Standard for Large-Scale Mapping (1990) for relevant mapping scales. The DTM supports the creation of 6-inch or 1-foot map orthoimagery at the relevant scales.

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In 2002 and 2003, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), conducted three exploration cruises (USGS Cruise 02051, NOAA RB0208, September 24 to 30, 2002; USGS Cruise 03008, NOAA RB0303, February 18 to March 7, 2003 and USGS Cruise 03032, NOAA RB0305, August 28 to September 4, 2003). These cruises mapped for the first time the morphology of this entire tectonic plate boundary stretching from the Dominican Republic in the west to the Lesser Antilles in the east, a distance of approximately 700 kilometers (430 miles). Observations from these three exploration cruises, coupled with computer modeling and published Global Positioning System (GPS) results and earthquake focal mechanisms have provided new information that is changing the evaluation of the seismic and tsunami hazard from this plate boundary. The observations collected during these cruises also contributed to the basic understanding of the mechanisms that govern plate tectonics, in this case, the creation of the island of Puerto Rico and the deep trench north of it. Results of the sea floor mapping have been an important component of the study of tsunami and earthquake hazards to the northeastern Caribbean and the U.S. Atlantic coast off the United States. For additional information on the cruises see: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2002-051-FA http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2002-051-FA http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2002-051-FA

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Impact of Continued Biased Disenrollment from the Medicare Advantage Program to Fee-for-Service As reported in Impact of Continued Biased Disenrollment from the Medicare Advantage Program to Fee-for-Service, published in Volume 2, Issue 4, of the Medicare and Medicaid Research Review, disenrollment from the Medicare Advantage (MA) program to fee-for-service (FFS) continues to occur disproportionately among high-cost beneficiaries. Disenrollees incurred 1,021 dollars per month in Medicare payments following disenrollment to FFS in 2007, which was 28 percent higher than predicted based on risk scores used to set MA payment rates. Differences between actual and predicted payments were smaller for disenrollees of Preferred Provider Organizations (PPOs) and Private Fee-for-Service (PFFS) plans than for Health Maintenance Organizations (HMOs), indicating less biased disenrollment from PPOs and PFFS plans. Analysis of 10 individual MA plans revealed considerable variation in the degree of biased disenrollment. These findings raise concerns about care experiences among sicker enrollees and increased costs to Medicare.

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The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2013, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). Limited updates that occurred after January 1, 2013, such as newly incorporated places, are also included. The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.

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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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Many of NASA's exploration scenarios include important roles for autonomous or partially autonomous robots. It is desirable for them to utilize human tools when possible, rather than needing to build custom tools for each robot. Control of robotic manipulators for tool usage generally requires a very precise Cartesian-space trajectory of the tool tip (e.g., moving a marker along the surface of a whiteboard or rotating a screwdriver about an axis). Well-known techniques exist for manipulator control in Cartesian space, most of which necessitate solving a series of Inverse Kinematics (IK) problems. Closed-form IK solvers work well for 7-degree-of-freedom (DOF) arms with rigid tool attachments, but cannot handle non-rigid tools that slip in the robot's hands. Numerical IK approaches are more generic and can handle non-rigid links to tools, but can be slow to converge. More importantly, if any joints fail or become limited in their range of motion, the robot arm essentially becomes 6-DOF or lower. IK solvers often fail in these lower DOF spaces because the configuration space becomes non-continuous and full of "holes". As a result, a 7-DOF robotic arm in space might be rendered largely useless if a single joint fails or even loses mobility until it can be serviced. TRACLabs proposes to investigate an alternative approach to traditional Cartesian control approaches, which rely on complex IK solvers that go from Cartesian space backwards to joint space. We propose to leverage cheap memory and modern processing speeds to instead perform simple computations that go from joint space forwards to Cartesian space. Such techniques should overcome common changes to a manipulation chain caused by tool slippage or the grasping of a new tool and to overcome uncommon changes to a chain caused by joint failures, reduced joint mobility, changes in joint geometry or range of motion, or added joints.

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CRED shallow Conductivity-Temperature-Depth (CTD) casts are vertical profiles (max 30 meter depth, downcast only) of temperature, conductivity and pressure. Data are collected at select nearshore locations, both around islands or banks and within lagoons. Data processing was performed using Seabird Instrument's SeaSoft SBE Data Processing Software (http://www.seabird.com/software/SBEDataProcforWindows.htm). Data format is discreet, tabular (formatted, space delimited ASCII) files for each profile, with a full header as provided by SeaSoft. Raw file extension is HEX, processed file extension is CNV. The header contains latitude, longitude and other location information, as well as all data processing steps and settings. All dates and times are UTC. All positions are WGS84 decimal degrees. Contact Coral Reef Ecosystem Division (CRED), NOAA Pacific Island Fisheries Science Center for more information. http://www.pifsc.noaa.gov/cred/oceanography.php

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ASTER level-1B data have had system radiometric corrections and geometric coefficients applied and are reprojected to a given map projection.

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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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Projections of the onset of annual coral bleaching conditions in the Caribbean under Representative Concentration Pathway (RCP) 8.5 are produced using an ensemble of 33 Coupled Model Intercomparison Project phase-5 models via dynamical downscaling. A high-resolution (~11 km) regional ocean model (MOM4.1) is used for the dynamical downscaling. From the downscaled Sea Surface Temperature (SST) projections, an ensemble was created by replacing the mean of the 2006-2011 modeled temperature with the mean of the Pathfinder v5.0 climatology. An ensemble was made by removing the quadratic trend and annual cycle of the mean-corrected MOM4.1 all remaining monthly anomalies were randomized 33 times and the annual cycle was added back. Degree Heating Weeks (DHW) are calculated. Full methods are described in the peer reviewed article: van Hooidonk, R., Maynard, J. A., Liu, Y., & Lee, S.-K. (2015). Downscaled projections of Caribbean coral bleaching that can inform conservation planning. Global Change Biology, 1–13. http://doi.org/10.1111/gcb.12901

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This data set contains the Submerged Lands Act (SLA) boundary (also known as State Seaward Boundary (SSB), or Fed State Boundary) in ESRI shapefile format for the BOEM Alaska Region. The SLA boundary defines the seaward limit of a state's submerged lands and the landward boundary of federally managed OCS lands. In the BOEM Alaska Region it is projected 3 nautical miles offshore from the baseline. Further information on the SLA and development of this line from baseline points can be found in OCS Report MMS 99-0006: Boundary Development on the Outer Continental Shelf http://www.boem.gov/BOEM-Newsroom/Library/Publications/1999/99-0006-pdf.aspx. Due to slight differences in process and purpose, NOAA's 3 nautical mile line depicted on its charts may differ in some areas from the SLA boundary depicted on BOEM maps and OPDs and should not be confused with the SLA boundary. Therefore this boundary is the only boundary that should be used to depict state/federal seperation of jurisdiction for submerged lands. Because GIS projection and topology functions can change or generalize coordinates, these GIS files are considered to be approximate and are NOT an OFFICIAL record for the exact SLA boundary. The Official Protraction Diagrams (OPDs) and Supplemental Official OCS Block Diagrams (SOBDs) serve as the legal definition for offshore boundary coordinates and area descriptions.

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The Integrated Science Data Management (ISDM) office processes oceanographic profiles reported for the world oceans in near real-time from the Global Telecommunications System (GTS) for the Global Temperature and Salinity Profile Program (GTSPP). These data also support the activities of the Ship of Opportunity Programme Implementation Panel (SOOPIP) and the WOCE Upper Ocean Thermal Program WOCE UOT). The ISDM sends a copy of these data to the US NODC three times each week.

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The layers within this geodataset describe physical habitat characteristics in the North and South Fork Shenandoah rivers. They represent conditions during summer low-flow periods when canoeing was possible.The data are derived from GPS field surveys and GIS editing to commplete habitat units around islands or river bends.

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Conductivity Temperature and Depth (CTD) measurements were collected aboard the R/V HOS Davis, Cruise 04, to determine physical oceanographic parameters of the water column, and in some cases used to help guide sample collection as part of the Deepwater Horizon oil spill sampling effort. Temperature, conductivity/salinity, depth, dissolved oxygen, and fluorometry data were collected onboard the HOS Davis, Cruise 04. The final product is a series of NetCDF files containing every CTD cast that has been processed and quality checked.

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The Rural Airports database is the list of rural airports compiled annually by BTS for the Treasury Department/IRS. It is used by airlines to assist in establishing air fares.

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The 2012 National Assessment of Educational Progress (NAEP 2012) is a study that is part of the National Assessment of Educational Progress (NAEP) program; program data is available since 1990 at http://nces.ed.gov/nationsreportcard/naepdata/. NAEP 2012 (http://nces.ed.gov/nationsreportcard/) is a cross-sectional survey that assesses what America's students know and can do in economics. Students in grade 12 were sampled. NAEP 2012 assessments consist of national assessment in economics. Key statistics produced from NAEP 2012 are results on subject-matter achievement, instructional experiences, and school environment for populations of students (e.g., all fourth-graders) and groups within those populations (e.g. female students, Hispanic students).

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Applying the 2003 Beers Update to Elderly Medicare Enrollees in the Part D Program Inappropriate prescribing of certain medications known as Beers drugs may be harmful to the elderly, because the potential risk for an adverse outcome outweighs the potential benefit.

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This data set contains benthic habitats, including coral reef and hardbottom, seagrass, algae, and others in [for] South Florida. Vector polygons in the data set represent the distribution of benthic habitats. This data set comprises a portion of the ESI data for South Florida. 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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Brief background on Lake Andes fishing history, and data on current fish populations. Lake Andes was a much larger body of water prior to the construction of an artificial outlet structure that lowered the water level by 13 feet. Since Lake Andes is fed almost completely by ephemeral streams, it has and will dry up over a span of 1116 years. These fluctuating water levels are detrimental to most game fish, while less harmful to undesirable species like bullhead and carp. The Lake was stocked with northern pike fry and prespawn yellow perch in 2001 in an attempt to reintroduce game fish and hopefully establish a fishery. The population was sampled in May 2002 to determine the status of all fish species and to evaluate the success of northern pike and yellow perch stocking efforts.

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Soil bulk density data collected on the Konza Prairie