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This GIS grid atlas contains precipitation frequency estimates for the Pacific Islands that are based on precipitation data. This atlas is a new release from the NWS and does not update any other publication. The precipitation frequency grids are available for durations from 5 minutes through 60 days, and for average recurrence intervals of 1 year through 1,000 years. AMS and PDS results are provided; refer to published documentation for differences between the two.

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Timely and Effective Care measures - provider data. This data set includes provider-level data for measures of heart attack care, heart failure care, pneumonia care, surgical care, emergency department care, preventive care, children’s asthma care, stroke care, blood clot prevention and treatment, and pregnancy and delivery care.

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CERES Energy Balanced and Filled(EBAF) Surface Monthly means data in netCDF

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The overall objective is to familiarize participating scientists with PISCES multibeam echosounder (Simrad ME70) configuration, operation, calibration and data collection and test the sonar's capabilities for a variety of applications. An additional objective is to collect water column and seafloor scattering data using PISCES multibeam echosounder and splitbeam echosounders (Simrad EK60) in coordination with measurements being conducted on OKEANOS EXPLORER using Simrad EM302 multibeam echosounder for comparison between systems.

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The 1999-2000 National Postsecondary Student Aid Study (NPSAS:2000) is a study that is part of the National Postsecondary Student Aid Study (NPSAS) program; program data is available since 1989-90 at http://nces.ed.gov/pubsearch/getpubcats.asp?sid=013. NPSAS:2000 (http://nces.ed.gov/surveys/npsas/about.asp) is a cross-sectional survey that is designed to compile a comprehensive research dataset, based on student-level records, on financial aid provided by the federal government, the states, postsecondary institutions, employers, and private agencies along with student demographic and enrollment data. The study was conducted using multiple sources, including institutional records, government databases, and student interviews. NPSAS:2000 was the first to employ a web-based instrument for collection of institutional records. NPSAS:2000 contains the data on a sample of about 70,200 postsecondary students who were enrolled at any time between July 1, 1999 and June 30, 2000 in about 1,100 postsecondary institutions. The data are representative of all undergraduate and graduate students enrolled in postsecondary institutions in the 50 United States, the District of Columbia, and Puerto Rico that were eligible to participate in the federal financial aid programs in Title IV of the Higher Education Act. After adjusting for institutional nonresponse and for attendance at more than one institution, the overall weighted study response rate was 89 percent. Statistics produced from the NPSAS:2000 provide reliable national estimates of characteristics related to financial aid for postsecondary students.

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This supplement provides a summary version of the FFS Biological Program Standard Operating Procedures January 2012 version specifically focusing on key points and expanding on specifics of data entry and archival with emphasis on points that increase data quality and replicability. Compiled by Sarah Youngren and Dan Rapp during 2012 IM grant funded Quality Control Quality Assurance project.

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Monthly 1988 data at the company level on imports of crude oil and/or petroleum products into the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands other U.S. possessions, and Foreign Trade Zones located in the 50 States and DC by each importer of record. Based on Form EIA-814 data.

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Monthly 2001 data at the company level on imports of crude oil and/or petroleum products into the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands other U.S. possessions, and Foreign Trade Zones located in the 50 States and DC by each importer of record. Based on Form EIA-814 data.

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The data contained in these files contain hydrographic and topographic data collected by the CHARTS system along the Lake Michigan coast of Illinois from September 17 - September 26, 2008. These files contain topographic and bathymetric lidar data collected by the Compact Hydrographic Airborne Rapid Total Survey (CHARTS) system. CHARTS integrates topographic and bathymetric lidar sensors, a digital camera, and a hyperspectral scanner on a single remote sensing platform for use in coastal mapping and charting activities. Data coverage generally extends along the coastline from the waterline inland 500 meters (topography) and offshore 1,000 meters or to laser extinction (bathymetry). The topographic lidar sensor has a pulse repetition rate of 9 kHz at 1064 nm (near-infrared wavelength). The bathymetric lidar sensor has a pulse repetition rate of 1 kHz at 532 nm (green wavelength). Native lidar data is not generally in a format accessible to most Geographical Information Systems (GIS). Specialized in-house and commercial software packages are used to process the native lidar data into 3-dimensional positions that can be imported into GIS software for visualization and further analysis. The data were collected and provided in decimal degrees of latitude and longitude, referenced to the North American Datum of 1983 (NAD83). Vertical positions were referenced to the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID03 model was used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88). For data storage and provisioning purposes, the NOAA Coastal Services Center converted the data from NAVD88 heights to ellipsoid heights using GEOID03. Additionally, the data were unclassified when received; NOAA CSC classified the topo data as 1 and the bathy data as 11.

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The Columbia River Light Detection and Ranging (LiDAR) survey project was a collaborative effort to develop detailed high density LiDAR terrain data for the US Army Corps of Engineers (USACE). The LiDAR will be used to support hydraulic modeling work associated with proposed 2014 Columbia River treaty negotiations. The dataset encompasses approximately 2836 square miles of territory in portions of Oregon, Washington, Idaho and Montana within the Columbia River drainage. This survey was under the jurisdiction of three Corps districts: Portland (CENWP), Seattle (CENWS), and Walla Walla (CENWW). CENWP was the project lead and primary contracting organization. Bare earth point data are classified as either ground (2), model key point (8) or water (9) and represent the earth's surface with all vegetation and human-made structures removed. Model key points were generated to represent the bare earth surface within a 0.07 m tolerance. Ground points (class 2) are the remaining ground points not classed as model key. Both ground and model key classes are needed for display of all bare earth points. Water classification was used for those bare earth/ground classified points that fell inside a water boundary as determined using softcopy photogrammetry with stereograms generated from LiDAR intensities. All remaining points received the default classification (1). In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. The RMSE of the data for open, hard-packed surfaces is 0.046 meters as assessed from 40,266 ground survey (real time kinematic) points taken on hard-packed road surfaces. This value is representative of anticipated accuracies in open, evenly sloped or flat terrain where maximum point densities were achieved. The project was completed for the US Army Corps of Engineers, Portland District, to support hydraulic modeling related to the ACOE Columbia River Treaty project. Data acquisition, bare earth processing, and development of final tiled LiDAR deliverables and DEM's was performed by Watershed Sciences, Inc. Overall project management, photogrammetric quality control review using LiDAR stereograms, water delineation and breakline development was performed by David C. Smith & Associates, Inc. Professional Surveyor oversight of ground control data, ground control data processing and ground control publication was performed by David Evans and Associates, Inc. Final quality control review in ArcGIS of all final deliverables, including preparation of point density rasters and reach based geo-databases incorporating all deliverables, was performed by CC Patterson and Associates. NOTE ON DATUM ISSUES: All ground control and subsequent LiDAR data deliverables were developed and delivered at NAD '83 CORS 96 horizontal and NAVD '88 Geoid '09 vertical datums as processed in OPUS-DB. Due to limitations in the transformations supported by ESRI, NAD '83 and NAVD '88 datums were temporarily assigned to the ESRI deliverables and ESRI .prj file even though the actual coordinate values in the data files are at the original NAD '83 CORS 96 and NAVD '88 Geoid '09 datums. In many instances, a temporary assignment of NAD '83 HARN or HPGN may better approximate local conditions. Plain NAD '83 was used for the primary deliverable in order to avoid any implication of higher precision; however, the user may want to evaluate other approximations for specific applications. At such time as ESRI includes support for NAD '83 CORS '96, the temporary NAD '83 assignment in the .prj file should be replaced with NAD '83 CORS '96 without further reprojection. The NOAA Office for Coastal Management has converted the data to ellipsoid heights (using Geoid09) and NAD 83 geographic coordinates for data storage and Digital Coast provisioning purposes.

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This data set contains payroll and personnel data for current and past DOT employees. This data is produced by the current HR and payroll provider (Department of Interior's IBC) with historical data also maintained in the dataset produced by DOT's CUPS, CPMIS and IPPS systems. The data contains PII (Employee Name, SSN, Date of Birth, Home Address, Financial information, etc.), Civil Rights (Disability, Gender, Race) and other sensitive data (Background Investigations and Security Clearance).

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ABSTRACT: Basic upper-air parameters interpolated at 0.5 kiloPascal increments of atmospheric pressure from the network of upper-air stations during the 1993, 1994, and 1996 field campaigns over the entire study region.

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Nano Ceramic Sterilization Filter Project

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Surface temperatures and salinities were collected in the Barents Sea, Sea of Japan, North Atlantic Ocean, Philippine Sea, Red Sea, and South China Sea (Nan Hai) from 1896-1950. Data are in the ASCII Output Layout for NODC UKHO Profile & Surface Cards. Additional funding for digitizing historic data were provided by the Global Ocean Data Archaeology and Rescue (GODAR) project.

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Monthly 1998 data at the company level on imports of crude oil and/or petroleum products into the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands other U.S. possessions, and Foreign Trade Zones located in the 50 States and DC by each importer of record. Based on Form EIA-814 data.

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Gravesite locations of Veterans and beneficiaries in GEORGIA, as of July 2015.

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Annual data on the number of employees in coal mines. Data organized by mine type (total, surface, underground, refuse mining). Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

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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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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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The objective of this Phase I project is to demonstrate an automated on-line structural health monitoring system for aircraft structures using a combination of wireless data acquisition and fault detection filter via a sensing network for vehicle-embedded large arrays of MEMS sensors and actuators. A fault detection filter, whose functions are to identify and localize the damage, is considered as a new concept in the field of structural health monitoring. Sensor validation is implemented in the distributed sensor network to ensure only validated data are sent to the central station for further system utilization. Wireless communication provides a safe, affordable, and more efficient method for the online health monitoring of vehicle subsystems and information monitoring. It also involves signal processing to support decision-making related to safety, maintenance, or operating procedures.

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This web page gives detailed information on the equations for various forms of the K-e-Rt turbulence model.

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Low-Loss Packaged Ka-Band (26.5 GHz) MEMS Phase Shifter Project

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Data from 1986 through 2012

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FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme, orthographic imagery, is packaged in a separate NFIP Metadata Profile): cadastral, geodetic control, governmental unit, transportation, general structures, hydrography (water areas & lines. These data include an encoding of the geographic extent of the features and a minimal number of attributes needed to identify and describe the features. (Source: Circular A16, p. 13)

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Note: The sum of certain variables may not equal the total due to unknown geography and/or demographics.