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The Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) plans to perform a coastal survey along the Gulf Coast in 2016 with funding provided by the US Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP). The data types to be collected include bathymetric and topographic lidar point data, down-looking aerial imagery and hyperspectral imagery. The collection effort will follow the coastline and extend 500m inland and 1000m offshore or to bathymetric lidar extinction, whichever comes first. Topographic lidar data will have a nominal sub-meter post-spacing. Where water conditions permit, the bathymetric lidar data will have nominal 2m x 2m postings. Vertical accuracy of the topographic lidar data will meet or exceed RMSEZ=15 cm. Bathymetric lidar data will have a vertical accuracy of 30 cm, 2-sigma. The aerial imagery will have a pixel size approximately 20cm and the hyperspectral imagery will be provided in 1m pixels containing 36 spectral bands between 375 - 1050 nm with 19 nm bandwidth. The data will be collected on the NAD83 ellipsoid using NGS published monuments as control. Final data will be tied horizontally to NAD83 (NSRS 2007) in geographic coordinates. Vertical measurements will be converted from NAD83 ellipsoid heights in meters to NAVD88 orthometric heights using the current Geoid model at the time of acquisition. Data products from this survey effort will include topographic and bathymetric lidar point clouds in LAS format, an NAVD88 0m shoreline contour, and a series of raster data products including topo/bathy digital elevation models (DEMs), true-color aerial image mosaics, hyperspectral image mosaics, laser reflectance images and basic landcover classification images. Images of water column properties (i.e. chlorophyll and CDOM concentrations) will also be generated. Within 6 months of completing the data acquisition, these final data products will be available for public use in the absence of any unforeseen data processing delays.

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The Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive source of data on the environmental characteristics of almost all electric power generated in the United States. These environmental characteristics include air emissions for nitrogen oxides, sulfur dioxide, carbon dioxide, methane, and nitrous oxide; emissions rates; net generation; resource mix; and many other attributes. eGRID2010 contains the complete release of year 2007 data, as well as years 2005 and 2004 data. Excel spreadsheets, full documentation, summary data, eGRID subregion and NERC region representational maps, and GHG emission factors are included in this data set. The Archived data in eGRID2002 contain years 1996 through 2000 data. For year 2007 data, the first Microsoft Excel workbook, Plant, contains boiler, generator, and plant spreadsheets. The second Microsoft Excel workbook, Aggregation, contains aggregated data by state, electric generating company, parent company, power control area, eGRID subregion, NERC region, and U.S. total levels. The third Microsoft Excel workbook, ImportExport, contains state import-export data, as well as U.S. generation and consumption data for years 2007, 2005, and 2004. For eGRID data for years 2005 and 2004, a user friendly web application, eGRIDweb, is available to select, view, print, and export specified data.

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JSC Mission Control Room. Polygons: 11130 Vertices: 6068

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The OnTheMap application provides detailed spatial distributions of workers' employment and residential locations and the relation between the two at the Census Block level. OnTheMap also provides characteristic detail on age, earnings, industry distributions, and local workforce indicators.

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(USGS text) The U.S. Geological Survey has developed a National Elevation Dataset (NED). The NED is a seamless mosaic of best-available elevation data. The 7.5-minute elevation data for the conterminous United States are the primary initial source data. In addition to the availability of complete 7.5-minute data, efficient processing methods were developed to filter production artifacts in the existing data, convert to the NAD83 datum, edge-match, and fill slivers of missing data at quadrangle seams. One of the effects of the NED processing steps is a much-improved base of elevation data for calculating slope and hydrologic derivatives. The specifications for the NED 1 arc second and 1/3 arc second data are: Geographic coordinate system Horizontal datum of NAD83, except for AK which is NAD27 Vertical datum of NAVD88, except for AK which is NAVD29 Z units of meters

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This shapefile contains points that describe the location of hydrocarbon exploration and production wells drilled in Afghanistan; and hyperlinks to scanned images of well logs that can be viewed in an ArcReader project.

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Landscape Conservation Cooperatives (LCCs) are public-private partnerships composed of states, tribes, federal agencies, non-governmental organizations, universities, international jurisdictions, and others working together to address landscape and seascape scale conservation issues. LCCs inform resource management decisions to address broad-scale stressors-including habitat fragmentation, genetic isolation, spread of invasive species, and water scarcity-all of which are magnified by a rapidly changing climate.

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Polygons: 34814 Vertices: 19011

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Survey data includes spatial datasets and data tables necessary to digitally represent data collected in the survey phase of the study. (Source: FEMA Guidelines and Specs, Appendix N)

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This supplement to the National Crime Victimization Survey (formerly the National Crime Surveys) was designed to collect data on crime victimization in schools in the United States. Student respondents were asked a series of questions to determine their s

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Shows the available NAIP imagery for Quarter Quad(QQ) and Compressed County Mosaic (CCMs) Formats.

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The GOES Imager is a five-channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. GVAR is the data transmission format used to broadcast environmental data measured by the independent GOES Imager and Sounder instruments, beginning with GOES-8 launched in 1994. Data distribution formats available are raw, AREA, NetCDF, GIF, and JPEG. Purpose: To monitor the atmosphere for severe weather development such as tornadoes, flash floods, hailstorms, and hurricanes. When these conditions develop, the GOES satellites can track storms on a minute-to-minute basis.

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<p>Initial (ICA) Investigation:</p><p>Preventing collisions is the first priority for safe operations of the Space Station Remote Manipulator System (SSRMS).  This depends on the ability of the crew and flight controllers to verify enough clearance exists between the SSRMS, its payload, and surrounding structure.  In the plan, train, and fly stages of each mission significant time is spent developing, documenting, and executing a camera plan that allows each portion of the SSRMS trajectory to be monitored.  This time could be decreased and operational situational awareness increased by using an array of cameras mounted around a boom on the SSRMS that point along a boom.  The output of the these cameras could be stitched together to provide a one composite view that provides clearance monitoring 360° around the boom.  Further, this technology could be used in any application where it is desirable to see proximity on two or more sides of an object - surgery, tele-robotics, deep sea exploration.</p><p>This investigation will ask operators (crew and flight controllers) to compare clearance monitoring of a sample trajectory using conventional external camera sources versus a stitched video presentation from a camera array.  A test plan, script, and scoring for comparison will be used to determine if stitched camera arrays lend themselves to clearance monitoring.  The project investigator researched the required technology, including hardware and software, to perform video stitching to identify an approach that can be used for operator evaluation in the ICA project. </p><p>Initial (Innovation Charge Account Project (ICA)) results:</p><p>A cadre of robotics professionals from JSC Robotics Operations and Astronaut Office participated in a benchmarking effort to quantify efficiency and safety metrics both with and without the use of a stitched camera array.  A modified Cooper-Harper scale was used to determine operator workload.  Other metrics included time required to perform task, motion stopped due to lack of clearance views, whether contact was made with external structures.  Results showed a reduced operator workload, faster completion of the task, and reduced contact with external structure.  Additionally, the technology was presented to the JSC community at Innovation Day 2012 where it won the People's Choice Award.</p><p>Second Phase:</p><p>Rearranging image pixels from multiple cameras to accomplish a perspective shift is computationally expensive.  In the last decade, advances in CPU performance and direct to memory image capturing methods have improved the frame rate and latency associated with video stitching.  In the previous phase (FY ’12 ICA, People’s Choice Winner),  the collaborator was able to achieve 10 frames per second with less than a second latency using off the shelf CPU and camera hardware.  The purpose of Phase 2 is to demonstrate the technology on a larger vehicle (Multi-Mission Space Exploration vehicle) using high-bandwidth (GigE) network, increased CPU/GPU resources, and high-performance cameras. </p><p>Second Phase Results:</p><p>Ten video cameras (the minimum required to obtain coverage around the vehicle while providing enough image overlap) were placed around the upper surface of the MMSEV.  The video streams were piped to an on-board high-end PC where software written in MATLAB performed the perspective shifts and homographic alignment.  The resulting single view was displayed in Graphical User Interface (GUI) that allowed the operator to see the composite ‘birds-eye’ view or zoom in on a view from a particular camera when clearance was a concern.  The MMSEV was maneuvered around the simulated Martian landscape at JSC known as the Rock Pile.  To date the maximum achieved frame rate is 2 frames per second.  To increase frame rate current efforts are focused on transferring the homographic algorithms to a Xylinx field-programmable gate array (FPGA) processor.  </p><p> </p>

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SVES is a batch query system utilizing the File Transfer Management System that provides States and some federal agencies with a standardized method of SSN verification and uniform data response for Title 2 and/or Title 16 data. In addition to allowing States to receive SSN Verification, and if requested Title 2 and/or Title 16 data. SVES also allows states to request information from other SSA exchange systems external to SVES (e.g., BENDEX, SDX) via the SVES request.

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The National Survey of Substance Abuse Treatment Services (N-SSATS) (formerly titled Uniform Facility Data Set (UFDS)) is designed to collect information from all facilities in the United States, both public and private, that provides substance abuse treatment. N-SSATS is one of three components of SAMHSA's Behavioral Health Services Information System (BHSIS, formerly Drug and Alcohol Services Information System (DASIS)) and is designed to provide the mechanism for quantifying the dynamic character and composition ofthe United States substance abuse treatment delivery system. In 1995, SAMHSA created BHSIS (formerly DASIS) to facilitate the integration of its existing treatment service's datasets and to reduce redundancy in data collection and reporting. The other two BHSIS components are the Inventory of Substance Abuse Treatment Services (I-SATS) and the Treatment Episode Data Set (TEDS). The I-SATS is a comprehensive listing of all known substance abuse treatment facilities in the United States. The TEDS is a client-level database of individuals admitted to publicly funded substance abuse treatment facilities and is available from the SAMHDA Web site. Together, these three BHSIS components provide national- and state-level data on persons receiving alcohol and substance abuse treatment as well as data on the facilities providing the treatment. Data collected in N-SSATS include topics covering ownership, services offered (assessment and pre-treatment, testing, transitional, ancillary, pharmacotherapies), primary focus (substance abuse, mental health, both, general health, other), hotline operation, methadone/Levo-Alpha Acetyl Methadol (LAAM)/buprenorphine dispensing, counseling and therapeutic approaches, special programs or groups, languages in which treatment is provided, type of treatment provided, number of clients (total and under age 18), number of beds, types of payment accepted, sliding fee scale, and facility accreditation and licensure/certification. The data elements and format that make up the core of the N-SSATS were first used in 1976 as part of survey efforts designed to measure the scope and use of drug abuse treatment services in the United States. This core was used throughout the 1970s and 1980s in several different surveys. In 1987 the first administration of the National Drug and Alcoholism Treatment Unit Survey (NDATUS) took place, and then occurred annually from 1989 to 1993. After the creation of the Substance Abuse and Mental Health Services Administration (SAMHSA) in 1992, NDATUS was redesigned as the Uniform Facility Data Set (UFDS), which was conducted from 1995 to 1998. In 1999, an abbreviated survey was conducted and the survey was redesigned. The 1999 study is not publicly available. In 2000, the full survey was conducted and renamed the National Survey of Substance Abuse Treatment Services (N-SSATS). N-SSATS is a point-prevalence survey. It provides information on the substance abuse treatment system and its clients on the reference date. Client counts reported here do not represent annual totals. Rather, N-SSATS provides a "snapshot" of substance abuse treatment facilities and clients on an average day. Through 2000, the N-SSATS reference date was October 1. In 2001, SAMHSA changed the reference date to the last business day in March. This change helped increase the timeliness of responses by individual facilities, but resulted in no data being collected for 2001. Therefore, 2002 marked the first year data were collected using the new reference date. The N-SSATS is sponsored by the Center for Behavioral Health Statistics and Quality at the Substance Abuse and Mental Health Services Administration.

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Alcohol-Impaired Driving Fatalities 2003-2012; All persons killed in crashes involving a driver with BAC >= .08 g/dL. Occupant Fatalities 2003-2012; All occupants killed where body type = 1-79. Source: Fatality Analysis Reporting System (FARS) 2003-2011 and 2012 ARF

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Payment for heart attack patients measure – provider data. This data set includes provider data for payments associated with a 30-day episode of care for heart attack patients.

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Bathymetry for San Francisco Bay was derived from thirty surveys containing417,452 soundings. Older, less accurate, overlapping surveys wereeither partially or entirely omitted. The average separation between soundingswas 53 meters. Four surveys in the southern part of the bay dated from1956. The remaining surveys dated from 1971 to 1993. The total range ofsounding data was 12.1 meters to -12.7 meters at mean low water. Mean highwater values between 1.2 and 2.3 meters were assigned to the shoreline.Twenty-five points were found that were not consistent with the surroundingdata. These were removed prior to tinning. DEM grid values outside the shoreline (on land) wereassigned null values (-32676).San Francisco Bay has twenty-four 7.5 minute DEMs and three onedegree DEMs. The 1 degree DEMs were generated from the higherresolution 7.5 minute DEMs which covered the estuary. A DigitalElevation Model (DEM) contains a series of elevations ordered fromsouth to north with the order of the columns from west to east. TheDEM is formatted as one ASCII header record (A- record), followed bya series of profile records (B- records) each of which include ashort B-record header followed by a series of ASCII integerelevations (typically in units of 1 centimeter) per each profile.The last physical record of the DEM is an 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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South America is part of Region 6 (Central and South America) for the World Energy Assessment. The geologic map of South America was digitized so that we could use the geology as a general guide to draw the boundaries of the geologic provinces of South America.

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The 2009-10 Private School Universe Survey (PSS 2009-10) is a study that is part of the Private School Universe Survey program. PSS 2009-10 (http://nces.ed.gov/surveys/pss/) is a cross-sectional survey that builds an accurate and complete universe of private schools to serve as a sampling frame for NCES surveys of private schools and generates biennial data on the total number of private schools, teachers, and students. The study was conducted using surveys of administrative personnel. A universe of private schools extant in October 2009 was built. The study�s response rate was 93.6 percent. Key statistics produced from PSS 2009-10 are religious orientation, level of school, length of school year, length of year and school day, total enrollment (K-12), race/ethnicity of students, number of high school graduates, number of teachers employed, program emphasis, and existence and type of kindergarten program.

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<p> </p><p>One of NASA's strategic goals is to extend and sustain human activities across the solar system. With time delays and potentially sparse communications back to Earth, astronauts may have to perform life-saving surgery without support from the Earth based flight control team. Medical crew training is a complex and labor-intensive process. Due to the large and diverse set of possible medical conditions, crew medical training focuses on the most likely medical scenarios that may occur in the current mission profiles, with less emphasis on rarer, or unforeseen health related events. The need for good training and the access to large amounts of documentation areconditions making the use of Augmented Reality (AR) techniques most promising. Also, the use of medical AR for crew training could enhance effectiveness, and expand the repertoire of available on-mission aids while minimizing resource utilization saving time, money and potentially improving outcomes.</p>

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Polygons: 100628 Vertices: 60845

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Park recreation sites

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EPA's Envirofacts Website hosts web enabled tools accessing the Envirofacts Data Warehouse and the Internet to provide a single point of access to select EPA Environmental data, including access to information about environmental activities that may affect air, water, and land anywhere in the United States

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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