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Improving stewardship of Federal money by reducing recipient fraud, reducing retailer fraud, ensuring accurate eligibility determinations, and reducing improper payments. Click on any state to Report Nutrition Assistance Fraud in that location.

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ABSTRACT: Net primary productivity (NPP) of agricultural regions was estimated from crop harvested yield, as recorded in national agricultural statistics. The magnitudes and inter-annual variations in NPP of croplands in the US Mid-West were estimated using crop area and yield data from the US National Agricultural Statistics Service (NASS). Total NPP, including estimates of both above and below-ground components, was calculated.

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Bathymetry for the New Jersey Inland Bays was derived from nineteen surveyscontaining 127,502 soundings. Four older, overlapping, less accurate surveyswere omitted before tinning the data. The average separation betweensoundings was 45 meters. Eighteen of the nineteen surveys used dated from1935 to 1940. The remaining survey, located in the southwest, dated from1972. The total range of sounding data was 1.2 to -16.2 meters at mean low water.Mean high water values between 0.6 and 1.3 meters were assigned to the shoreline. Six points werefound that were not consistent with the surrounding data. These were removed prior to tinning. DEM gridvalues outside the shoreline (on land) were assigned null values (-32676).The New Jersey Inland Bays have seventeen 7.5 minute DEMs and two 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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This catalog of LAT sources above 10 GeV reports the locations, spectra, and variability properties of the 514 sources significantly detected in this range during the first three years of the Fermi mission. Many of these sources are already included in the 2FGL catalog, although in that catalog their characterization is dominated by the much larger numbers of gamma rays detected in the energy range 0.1 to 10 GeV.

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NASA's future science missions to investigate the structure and evolution of the universe require highly efficient, very low temperature coolers for low noise detector systems. We propose to develop a highly efficient, lightweight Active Magnetic Regenerative Refrigeration (AMRR) system that can continuously provide remote/distributed cooling at temperatures in the range of 2 K with a heat sink at about 15 K. The AMRR system uses a vibration-free, reversible cryogenic circulator and innovative Micromachined Active Magnetic Regenerators (MAMRs) to achieve a large cooling capacity and very high thermal efficiency. The MAMRs use an innovative flow channel configuration and novel micromachining technologies to achieve very high thermal and flow performance. In Phase I we will prove the feasibility of our approach by demonstrating critical fabrication methods for the micromachined regenerator and its thermal and flow performance through detailed analysis. In Phase II we will build and demonstrate a full-scale micromachined regenerator for a prototype AMRR system that can provide 50 mW of cooling near 2 K. In Phase III we will demonstrate a complete AMRR system incorporating the MAMRs and Creare's innovative reversible cryogenic circulator.

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<p>The objective of this project is to take information from multiple operational environments and securely deliver it in a graphically useful manner to the end user. This flow of information must be tightly controlled and protected to prevent unintentional leaks of sensitive data prior to receipt by the user. Once the data reaches the user, it must be presented in a useful manner. A simple example of this sort of information would be log messages. A user cannot simply be sent all log messages; the originating system must have the ability to configure which messages will be made available and the end user must be able to filter critical alarm alert messages from mundane logs.</p><p>The unique challenge of this project is not only its technical feasibility, but also the need to meet GSFC’s network security requirements. The capability to move small amounts of data for a single mission with limited security has been demonstrated; however the problem of moving larger amounts of data quickly while keeping the process compliant with GSFC network security practices has not been solved. Work on this IRAD will be performed in collaboration with Goddard Communications and Security Services Division to ensure that all software is in compliance with these GSFC network security requirements.</p><p>Once the data arrives at its destination it must be strategically presented to maximize its usefulness. There are, of course, many possible applications that can be conceived to meet mission operations needs, such as health and status displays of operational components. The scope of this work will include selecting and implementing a presentation of the data that will be of most benefit to end-users. Based on current knowledge of mission needs, this application will focus on presenting the status of mission operations hardware and software for one or multiple missions. This will allow both the monitoring of single missions and the consolidate aggregation of status information for the monitoring of large portions of the GSFC Satellite Fleet.</p><p>The key deliverables for the first phase of this proposal are the software transport framework to move data from the operations center to the user,  the corresponding web-based application to display the targeted data, and instructions on how to enable and configure the integrated application to ensure compliance with GSFC network security requirements. The compliant framework and web application will be shown in a self-contained demonstration that illustrates the complete and secure flow of information.</p><p>The resultant software application will also be compliant with the Goddard Mission Services Evolution Center (GMSEC) architecture.  GMSEC is a software-based architecture built on a publish/subscribe messaging framework, which addresses many long-standing issues associated with point-solution implementations of mission control center systems.</p>

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To address NASA needs for hard X-ray telescopes for starlight detection and wavefront analysis, Physical Optics Corporation (POC) proposes to develop an Adjustable Lobster-Eye X-ray telescope (ALEX) based on POC's Lobster-Eye optics. This approach incorporates two important innovations: (1) new ALEX design--an adjustable array of smaller Lobster-Eye lenses for improved sensitivity, and (2) lens fabrication from two sets of iridium-coated semiconductor-grade silicon plates via POC-patented technology, satisfying the requirement for high flatness compatible with operating wavelengths. These innovations reduce weight 2-3 times compared to conventional Wolter I telescopes, increase angular resolution (8 arcseconds) and versatility, and reduce cost. In high-sensitivity mode, ALEX will have an effective collecting area of >1600 sq. cm. in the 0.25 40 keV range, and operate up to at least 80 keV; in wide-angle mode, ALEX will span a field of view >1.8 deg. In Phase I POC will demonstrate the feasibility of ALEX technology by building/testing a prototype single Lobster-Eye lens, reducing Phase II development risk. In Phase II POC will develop a fully functional prototype lens array and demonstrate its performance as a hard X-ray telescope. These results will allow NASA to build lightweight, high-performance hard X-ray telescopes.

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Monthly 1992 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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A cells polygon feature class was created by the U. S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Pennsylvania. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. Data were retrieved from the Pennsylvania Internet Record Imaging System (PA*IRIS). Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. The data are current as of 2006.

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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 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 12000.

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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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Bald eagles Haliaeetus leucocephalus nesting on Green Bay, Lake Michigan, have extremely low reproductive rates, in comparison to eagles nesting in inland Wisconsin and Michigan 0.4 vs. 1.1 young per occupied territory, Colborn 1991, Bowerman 1993. We investigated two factors which can affect eagle reproductive rates: organochlorine contaminants and food availability. Organochlorine contaminants specifically DDE and total PCBs were measured in addled eggs and nestling blood samples. Food availability was assessed by measurement of a behavioral index to food availability: food delivery rate to the nestlings. Other behavioral indices that have been associated with food availability time spent feeding and adult attendance at nests were also measured and compared to reference values for inland Wisconsin eagles. Mean contaminant concentrations in addled eggs from Green Bay were 10.3 ppm wet weight DDE and 35.0 ppm wet weight total PCBs 1986 1992, n8. Mean concentrations in nestling blood plasma were 53 ppb wet weight DDE and 207 ppb wet weight total PCBs 1987 1995, n8. Indices of food availability were generally normal, in comparison to inland reference data Mean food delivery rate to the nestlings was 2.21 .25 items per nestling per day n4 nests. Time spent feeding averaged 8.5, 8.2 and 9.3 of the day in the early, mid, and late phases of the nestling period n3,4,4. Adult attendance at the nest averaged 88.9, 26.5, and 5.7 of the day in the early, mid and late phases n3,3,3. None of the behavioral measures differed significantly from inland reference values, which suggests that the prey base was adequate. We concluded that it is very likely that organochlorine contaminants caused all or most of the depression in reproductive rates of Green Bay bald eagles.

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On August 17, 1996, the Japanese Space Agency (NASDA - National Space Development Agency) launched the Advanced Earth Observing Satellite (ADEOS). ADEOS was in a descending, Sun synchronous orbit with a nominal equatorial crossing time of 10:30 a.m. Amoung the instruments carried aboard the ADEOS spacecraft was the Ocean Color and Temperature Scanner (OCTS). OCTS is an optical radiometer with 12 bands covering the visible, near infrared and thermal infrared regions. (Eight of the bands are in the VIS/NIR. These are the only bands calibrated and processed by the OBPG) OCTS has a swath width of approximately 1400 km, and a nominal nadir resolution of 700 m. The instrument operated at three tilt states (20 degrees aft, nadir and 20 degrees fore), similar to SeaWiFS.

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Decrease the percentage of tobacco use in youth grades 9-12 from 28.7% in 2011 to 21% by 2018.

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MYMIC will analyze, design, develop and evaluate the Virtual Control Room – Compressor Station (VCoR-CS) training system. VCoR-CS will provide procedural training to NASA operators within a 3D virtual environment that realistically models the Compressor Station Control Room. It will include an accessible information repository to store expert knowledge and Standard Operating Procedures for display via a simple, training interface. VCoR-CS will leverage a "crawl-walk-run" learning approach with practice and assessments levels in order to allow users to slowly increase the cognitive load and difficulty of their training. A log-in capability will enable user performance to be tracked and training to be accessed on-demand. MYMIC will evaluate the effectiveness of VCoR-CS training prototype and adherence to its learning objectives. Project efforts and results will be incorporated into a Final Report. MYMIC will also conceptualize the expansion of VCoR-CS to include emergency preparedness and scenario-based training modules for future, follow-on efforts.

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This API provides international data on energy consumption per capita and carbon dioxide emissions per capita. 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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This report describes the population age, composition, breeding biology and notes on the wolverine in Alaska and the Yukon territory. Life history, physical attributes, distribution, reproduction are covered. Carcasses were collected and examined.

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Bathymetry for Biscayne Bay was derived from twelve surveys containing149,227 soundings. The overlap from three older, less accurate surveys wasomitted before tinning the data. The twelve surveys used dated from 1930 to1993. Approximately 60 percent of the surveys were from 1934. Surveys from1980 to 1993 cover the eastern portion of the bay. The total range of soundingdata was 0.6 meters to -10.4 meters at mean low water. Mean high water valuesbetween 0.1 and 0.6 meters were assigned to the shoreline. Fourteenpoints were found that were not consistent with the surrounding data.These were removed prior to tinning. DEM grid values outside theshoreline (on land) were assigned null values (-32676).Biscayne Bay has fifteen 7.5 minute DEMs and a single one degreeDEM. The 1 degree DEMs were generated from the higher resolution 7.5minute DEMs which covered the estuary. A Digital Elevation Model(DEM) contains a series of elevations ordered from south to northwith the order of the columns from west to east. The DEM isformatted as one ASCII header record (A- record), followed by aseries of profile records (B- records) each of which include a shortB-record header followed by a series of ASCII integer elevations(typically in units of 1 centimeter) per each profile. The lastphysical 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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These Bathymetric Digital Elevation Models (DEM) were generated from original point soundings collected during hydrographic surveys conducted by the National Ocean Service and its predecessors. Mean High Water shoreline was used as a constraining boundary and assigned its local elevation relative to the local datum (typically Mean Low Water). DEM grid values outside the shoreline (on land) were assigned null values (-32676). In the event of multiple surveys in a region, the most recent survey soundings were retained. Both 7.5 minute and 1 degree DEMs are available. The 1 degree DEMs were generated from the higher resolution 7.5 minute DEMs which covered the estuary. These DEMs are available as either Untiled (large grids) or sets of Tiled DEMs (at 7.5 degree minute size). A Digital Elevation Model (DEM) contains a series of elevations ordered from south to north with the order of the columns from west to east. The DEM is formatted as one ASCII header record (A- record), followed by a series of profile records (B- records) each of which include a short B-record header followed by a series of ASCII integer elevations (typically in units of 1 centimeter {0.01 meter]) per each profile. The last physical record of the DEM is an accuracy record (C-record). The 1 degree (60-minute) DEMs (3 arc second x 3 arc second data spacing) is cast on the geographic coordinate system (no projection). It provides coverage in 1 degree square blocks. Each product contains over edge data. Coverage is available for the many estuaries of the conterminous United States, but is not complete. The 7.5-minute DEM (30- by 30-m data spacing) is cast on the Universal Transverse Mercator (UTM) projection. It provides coverage in 7.5- by 7.5-minute blocks. Each product provides the same coverage as a standard USGS 7.5-minute quadrangle but the DEM contains over edge data. Coverage is available for many estuaries of the contiguous United States but is not complete.

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To provide the user with a general idea of areas where final critical habitat for hawksbill sea turtle (Eretmochelys imbricata) based on the description provided in the Federal Register. The geographic extent includes a three nautical mile buffer around Isla de Mona and Isla Monita, Puerto Rico.

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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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Executive orders are official documents, numbered consecutively, through which the President of the United States manages the operations of the Federal Government. The text of Executive orders appears in the daily Federal Register as each Executive order is signed by the President and received by the Office of the Federal Register. The text of Executive orders beginning with Executive Order 7316 of March 13, 1936, also appears in the sequential editions of Title 3 of the Code of Federal Regulations (CFR).

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This collection includes 4 data files (one each for water, sediment, tissue, and tar/oil analyses) containing data from the Deepwater Horizon (DWH) Oil Spill Event Response Phase. These data are the work of Federal agencies, state environmental management agencies and BP and its contractors. This dataset represents the culmination of a quality-control process overseen by NOAA and involving each individual data provider. These data were originally uploaded by the data providers into the EPA Scribe data management system (see Scribe Database Collection, this page), and later transferred to NOAA's Query Manager system for final evaluation by NOAA. The files in this collection are extractions from Query Manager. This dataset is considered to supersede the Scribe Database Collection.

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Data are from underwater visual surveys of fish stocks from 41 survey sites on the islands of Oahu and Hawaii, conducted by biologists and technicians of Hawaii's Division of Aquatic Resources (DAR). Survey data at Kealakekua Bay, Island of Hawaii, begin in 1952. Data begin in 1968 for all other sites. The datasets end in 2000, although updates are pending. Serious weaknesses of the data include that (1) transect dimensions were not consistent even within survey sites, and have not generally been recorded on datasheets; (2) survey locations are generally given as place names which are at least somewhat meaningful (e.g. the Monument site at Kealakekua Bay is in front of Cook's Monument), but lat/long of start and end points are not given, and even more fundamentally depth ranges are not given; and (3) some surveys were conducted on SCUBA and some on snorkel but, again, that has not been consistently recorded on datasheets. Additional DAR data from other locations and dates are planned for digitization.

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Binary point-cloud data were produced for a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines, post-Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an extratropical cyclone on the 29th), from remotely sensed, geographically referenced elevation measurements collected by Photo Science, Inc. (Delaware, Maryland, Virginia, and North Carolina) and Woolpert, Inc. (Fire Island, New York) using airborne lidar sensors.