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The National Prisoner Statistics (NPS) data collection began in 1926 in response to a congressional mandate to gather information on persons incarcerated in state and federal prisons. Originally under the auspices of the United States Census Bureau, the c

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AMCOM/Attendant Console is the software that runs on the Nortel Symposium Call Center System. This system supports the main FBI HQ telephone switchboard. All telephone calls coming into the main number at FBI HQ (202-324-3000) are routed to this Nortel Sy

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The progress report covers the period from 01 July 1965 to 30 June 1966. The main purpose of the report is to provide cooperating investigators with field and cruise data pertinent to their projects, and a view of the principles guiding the program. Hopefully, this report will also provide potential investigators with the informations required to submit proposals and successfully conduct research and training cruises aboard the R/V EASTWARD. The Cooperative Program of Research and Training in Biological Oceanography is supported by the National Science Foundation and by Duke University, and is located at the Duke University Marine Laboratory, Pivers Island, Beaufort, NC.

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Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD); and (3) special designations recognizing waters of exceptional quality as defined in State water quality standards. Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers). Information on State-designated uses and waters of exceptional quality are only available for a limited number of parks at this time.

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This dataset consists of the version 2 Level 2B science-quality ocean surface wind vector retrievals from the Oceansat-2 scatterometer (OSCAT), which was designed and launched by the Indian Space Research Organization (ISRO) 23 September 2009. This Level 2B dataset is produced by the Jet Propulsion Laboratory (JPL) QuikSCAT Project in cooperation with ISRO. The retrievals are provided on a non-uniform grid within the swath at 12.5 km pixel resolution. This resolution is achieved through a slice composite technique in which high resolution slice measurements from L1B data are composited into a 12.5 km wind vector cell. This newest version contains an improved geophysical model function (GMF), known as QSCAT12, consistent with the Remote Sensing Systems Ku2011 GMF, and an improved rain detection and flagging algorithm; these algorithms are consistent with the latest reprocessed version 3 QuikSCAT L2B dataset. Each L2B file corresponds to a specific orbital revolution (rev) number, which begins at the southernmost point of the ascending orbit. As a Ku-band dual pencil-beam rotating scatterometer, OSCAT design specs bear a strong resemblence of the Ku-band SeaWinds scatterometers on QuikSCAT and Midori-II (ADEOS-II). The primary difference between OSCAT and SeaWinds is the ~4 degree increase in the OSCAT incidence angle, which acts as an offset to the relatively lower altitude of Oceansat-2 to help provide a nearly identical swath width to SeaWinds. In the early phase of cal/val, the JPL QuikSCAT Project identified several problems, most of which have been corrected in this latest L2B version. This dataset release is expected to have an accuracy similar to that of the version 3 L2B QuikSCAT product, with minor caveats, all of which are described by Jaruwatanadilok et al. (submitted, 2013) and summarized in the User Guide document which is made available here: ftp://podaac.jpl.nasa.gov/allData/oceansat2/L2B/oscat/jpl/docs/ . Read software is made available in MATLAB, Python, R, and IDL and is accessible here: ftp://podaac.jpl.nasa.gov/allData/oceansat2/L2B/oscat/jpl/sw/ .

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Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

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The Government of Guam's Long-term Coral Reef Monitoring Program, coordinated by the Guam Coastal Management Program until October 2013 and now coordinated by the University of Guam Marine Lab, involves the collection of data for a suite of coral reef ecosystem health parameters at several high priority reef sites around the island of Guam, including Tumon Bay, East Agana Bay, Piti Bay, and Western Shoals. Sites at Fouha Bay, the Achang Reef Flat Marine Preserve, and the Eastern seaward slope near Cocos Island will be established in 2014. Data are collected annually or biennially by a team of highly-trained field biologists from the Guam Coastal Management Program, the NOAA Pacific Islands Regional Office, the University of Guam Marine Lab, and with occasional assistance by staff from other agencies. Corals are the main contributor to coral reef accretion, provide critical habitat for numerous reef organisms, and serve as a food source for some reef organisms. In recognition of the critical important of corals, coral colony size and condition surveys are a key component of the Guam Long-term Coral Reef Monitoring Program. Coral colony size and condition surveys have been conducted at high priority reef sites around Guam since August 2010. The surveys are carried out at numerous sampling stations within each monitoring site, the locations of which were generated randomly using a Geographic Information System and the relevant bathymetric and benthic habitat data. A split-panel approach is currently used for the sampling design, with half of all sampling stations in a given site being fixed and half re-randomized every visit or every other visit. The monitoring team assesses the size and condition of all coral colonies found within quadrats placed every 5 meters along 25-m transects (15-m transects for the Western Shoals site). These monitoring data on coral communities provide results on coral colony density, size, condition, and diversity; allow for exploration of community structure by functional group and size; and can be used to detect changes in coral communities over time.

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The purpose of this exchange is to identify any Medicare beneficiary who may be eligible for Medicare cost sharing under the Medicaid program, notify these potential Medicare buy-in eligibles about the Medicare cost-sharing programs, and inform the states of potential buy-in eligibles. Medicare Saving Programs are state-administered Medicaid programs which subsidize Medicare beneficiary costs. These programs usually follow SSI methods for counting income and resources but have higher limits. The income tests are based on a percentage of the Federal poverty guidelines and vary by program. Each year, two separate files will be created. The first file is scheduled for April and includes the QMB/SLMB/QI file. The second file is scheduled for November and includes the QDWI file.

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<p>Since the majority of the potential ADR targets are large (>meters) upper stages and payloads between 800 and 1100 km altitude, they are relatively bright, with visual magnitudes ranging from 5 to 7. Small telescopes are sufficient to collect their light curve data. However, due to the potential high tumble motion of the targets, a CCD camera with a frame rate up to 30/sec is needed. Identify an existing group with the necessary facility, equipment, experience, and capability for light curve observations of potential ADR targets in the low Earth orbit (LEO) region. Collect light curve data of at least 100 major ADR targets, including SL-8 Cosmos 3M second stages (2.4 m diameter by 6 m length; 1400 kg dry mass) and SL-16 Zenit second stages (4 m diameter by 12 m length; 8900 kg dry mass). Process raw data, obtain light curves, and analyze the data. Outcomes: A 4-month contract with the Air Force Academy was established in 2011. The Air Force Academy used one of their 16” telescopes equipped with a fast Andor CCD camera for the observations. A total of 126 targets were observed during the 4-month period (ended in February 2012). About half of the targets had multiple passes. All raw data were processed, and summary spreadsheets for individual targets were prepared and delivered by the Air Force Academy. Two abstracts on the observations and the implications for the tumble motions of the ADR targets for the 2012 International Astronautical Congress were submitted and accepted for presentation.</p>

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The Ecological Investigations of Petroleum Production Platforms in the Central Gulf of Mexico Project was conducted by Texas A and M University under contract to NOAA and the Bureau of Land Management under the BLM/OCS Outer Continental Shelf Program. Grain size analyses were produced for 1654 samples collected from May 22, 1978 through January 15, 1979 by the ships Sea Transporter and T-Kip IV in the central Gulf of Mexico. Analyses were contributed in the historic 073 format. Data include collecting institution, ship, cruise, sample id, latitude/longitude, date of collection, water depth, sampling device, method of analysis, sample weight, sampled interval, raw weight percentages of sediment, within a given phi range. Some samples also have percentages of total gravel, sand, silt, clay, and statistical measurements such as mean, median, skewness, kurtosis, and standard deviation of grain size. These data are part of the larger NGDC digital grain size database.

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NLRB C-Case (Unfair Labor Practice) data from CATS (Case Activity Tracking System) for the period of 01/01/1999 through 12/31/1999

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In 2006, a cooperative study was established to compile reliable data describing groundwater and surface-water interactions in the Elkhorn and Loup River Basins. The purpose of the study was to address state legislation that requires a sustainable balance between long term water supplies and uses of surface water and groundwater. A groundwater-flow model [hereinafter referred to as the Elkhorn-Loup Model (ELM)] was constructed as part of the first two phases of that study as a tool for understanding the effect of groundwater pumpage on stream base flow and the effects of management strategies on hydrologically connected groundwater and surface-water supplies. The third phase of the study was implemented to gain additional geologic knowledge and update the ELM with enhanced water-budget information and refined discretization of the model grid and stress periods. As part of that effort, the ELM is being reconstructed to include two vertical model layers, whereas phase-one and phase-two simulations (Peterson and others, 2008; Stanton and others, 2010) represented the aquifer system using one vertical model layer. The goal for defining the base of the upper model layer was to divide the model vertically so that the upper layer had different water transmitting and storage characteristics than the lower layer. Texture descriptions were used in most cases to identify the depth in a test-hole, water well, or surface-geophysical log at which dividing the aquifer produced contrasting texture characteristics for the upper and lower model layers. The study area covers approximately 30,000 square miles, and extends from the Niobrara River in the north to the Platte River in the south. The western boundary roughly coincides with the western boundary of the Upper Loup NRD, and the eastern boundary roughly coincides with the approximate location of the westernmost extent of glacial till in eastern Nebraska (University of Nebraska, 2005). This data release consists of a line shapefile of contours attributed with values representing the elevation of the base of the upper layer of the two-layer phase-three ELM above the vertical datum (National Geodetic Vertical Datum of 1929).

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NASA, DoD, and commercial aircraft operators need to transform vast amounts of aircraft data accumulated in distributed databases into actionable knowledge. We propose distributed algorithms for data-driven health monitoring on aircraft, aircraft fleet, and national airspace levels. The proposed algorithms are based on distributed optimization formulation, and, unlike existing distributed processing methods, have rigorous guarantees of producing the same results as centralized processing would do. Our algorithms will be implemented in an open scalable framework that allows integrating distributed data and federated third party algorithms for anomaly detection, diagnosis, prediction, and prognosis. We will apply the proposed approach to aircraft performance monitoring from FOQA data. We will train regression models of aircraft performance using distributed agents associated with different data sets, locations, and organizations. The trained models will be then used for anomaly detection, diagnosis (fault isolation), prognosis (forecasting), and mitigation (decision support). This project will develop web-based distributed open architecture software implementing the proposed optimization-based approaches and demonstrate scalability to at least 10 TB of data. Besides the developed algorithms, we will explore integration of third party algorithms into the distributed environment. The developed technologies will be applicable to a broad range of aircraft-related and other problems.

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Point data pp1773_unit_alt_boreholes represent the 309 locations of various types of boreholes that were used to determine the altitudes of each of the 16 hydrogeologic unit layers, plus the land surface altitude at the point location. The layers were used in the regional groundwater availability study of the aquifer system described in Professional Paper 1773, Groundwater Availability in the Atlantic Coastal Plain of North and South Carolina. Each layer is referred to as its model layer number as represented in the report PP1773. For clarity, they are listed below along with the aquifer unit or confining unit name in North Carolina and correlated name in South Carolina. L1 Surficial aquifer L2 Yorktown confining unit / Upper Floridan confining unit L3 Yorktown aquifer / Upper Floridan aquifer L4 Castle Hayne - Pungo River confining unit / Middle Floridan confining unit (To be referred to as "Castle Hayne / Middle Floridan confining unit" in this document) L5 Castle Hayne - Pungo River aquifer / Middle Floridan aquifer (To be referred to as "Castle Hayne - Middle Floridan aquifer" in this document) L6 Beaufort confining unit / Gordon confining unit L7 Beaufort aquifer / Gordon aquifer L8 Peedee confining unit / Crouch Branch confining unit L9 Peedee aquifer / Crouch Branch aquifer L10 Black Creek confining unit / McQueen Branch confining unit L11 Black Creek aquifer / McQueen Branch aquifer L12 Upper Cape Fear confining unit / Charleston confining unit L13 Upper Cape Fear aquifer / Charleston aquifer L14 Lower Cape Fear confining unit / Gramling confining unit L15 Lower Cape Fear aquifer / Gramling aquifer L16 Lower Cretaceous confining unit and aquifer

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This release contains the Basic Stand Alone (BSA) Outpatient Procedures Public Use Files (PUF) with information from Medicare outpatient claims. The CMS BSA Outpatient Procedures PUF is a procedure-level file in which each record is a procedure in an outpatient claim incurred by a 5 percent sample of Medicare beneficiaries. There are some demographic and claim-related variables provided in this PUF as detailed below. However, as claim or beneficiary identities are not provided, it is not possible to link procedures that belong to the same claim or beneficiary.

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Map (letter-size) showing BLM-administered lands available for solar energy development as identified in the Solar PEIS Record of Decision, including maps of the solar energy zones (SEZs) and the variance areas.

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These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.coast.noaa.gov/slr These data depict the potential inundation extent of coastal areas resulting from National Weather Service issued Coastal Flood Advisories. The Coastal Flood Advisory areas are based on individual Weather Forecast Office (WFO) guidance thresholds at monitored tide stations and are referenced to the MLLW tidal datum. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability. The process uses either two or three source datasets depending on geographic location to derive the final inundation rasters: the Digital Elevation Model (DEM) of the area, a tidal surface model that represents spatial tidal variability, and an interpolated threshold surface if there is significant difference between flooding thresholds between varying geographic areas (Ex: Chesapeake Bay area). The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods and represents the MLLW tidal datum in orthometric values (North American Vertical Datum of 1988).The interpolated threshold surface is created using the flooding threshold values found at select NOAA tide gages used by the NWS to define flooding events. The methods used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale and extent, not exact location, of inundation from NWS issued Coastal Flood Advisories.

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This data set consists of sub delineations of the hydrographic area (HA) boundaries and polygons drawn at 1:1,000,000 scale for the Great Basin supplemented by information from HA drawn at 1:750,000 scale where necessary. See the process steps for more information.

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This API provides international data on distillate fuel oil production, consumption, imports, exports, and bunkers. Data organized by country. 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 level-4 MODIS global Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) product is composited every 8 days at 1-kilometer resolution on a Sinusoidal grid. Information on each individual MODIS Platform/Product are available at: https://lpdaac.usgs.gov/lpdaac/products/modis_products_table

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The Climate Data Records (CDR) for Channel 7 contains Radio Occulation (RO) calibrated brightness temperatures from AMSU-A channel 7 measurements at 54.9 GHz from 2001 through present on a 2.5 degree grid. Data are partitioned into yearly files with monthly variables, where each file contains RO-calibrated channel 7 brightness temperatures from AMSU-A measurements from NOAA-15, 16, 17, 18, 19, NASA AQUA and Metop-A. The dataset uses version 2010.2640 of the RO mission data from the UCAR COSMIC Data Analysis and Archival Center (CDAAC), the NOAA archive of the Level 1b AMSU dataset, and the NASA DAAC archive of the Aqua Level 1B dataset. The RO satellites measure the bending angle of GPS signals as they pass through the atmosphere. Temperature profiles are derived from these GPS bending angles from the COSMIC and CHAMP data from 2001 through present. Calibration coefficients are calculated from coincident measurements of AMSU channel 7 brightness temperatures and corresponding values derived from an AMSU forward model applied to temperature profile measurements from RO identified radiosondes. The monthly calibration coefficients are applied to adjust the AMSU Temperature Troposphere Stratosphere (TTS) measurements for each polar orbiter to the temperature profiles from the RO identified Radiosonde Observations (RAOBs). The calibrated AMSU measurements are then combined into gridded monthly values. From these the climatology is calculated using 12 years of data. Anomaly values are then obtained by subtracting this climatology from the monthly values.

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FY2008 VA Budget Submission.

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To facilitate wider use of MAX, CMS contracted with Mathematica to convene a technical expert panel (TEP) and determine the feasibility of creating a sample file for MAX. This report describes the feasibility analysis and recommends the development of a Mini-MAX sample.

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This map shows Class I Federal PSD Areas using features selected from the CBI Protected Areas Database. Non-attainment areas are not mapped.

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This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery was acquired from 20140209 - 20140210 with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution to support the final ortho-rectified mosaic.