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NODC Accession 0115262 includes biological, fish examination and physical data collected aboard the CHARTER/FISHING BOATS during cruises GP0108, GP0207-01 and MF0310 in the Gulf of Alaska and North Pacific Ocean from 2001-07-18 to 2003-08-08. These data include STOMACH CONTENTS - FULLNESS, WATER TEMPERATURE, STOMACH CONTENTS - PREY COUNT, SPECIES IDENTIFICATION, SPECIES IDENTIFICATION - SEX, SPECIES IDENTIFICATION - WET WEIGHT, HABITAT, STOMACH CONTENTS - DIGESTION, STOMACH CONTENTS - CONTENT WEIGHT and STOMACH CONTENTS - PREY WET WEIGHT. The instruments used to collect these data include trawl. These data were collected by Edward D. Cokelet of National Oceanic and Atmospheric Administration, Alex C Wertheimer and Edward V. Farley of National Oceanic and Atmospheric Administration - Alaska Fisheries Science Center and Jamal Hasan Moss of University of Washington and National Oceanic and Atmospheric Administration - Alaska Fisheries Science Center as part of NEP. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) submitted these data to NODC on 2013-10-31. The following is the text of the abstract provided by BCO-DMO: GLOBEC 2000: Factors Affecting the Distribution of Juvenile Salmon in the Gulf of Alaska J. Helle (NMFS/AFSC, Auke Bay Laboratory) E. D. Cokelet (Pacific Marine Environmentla Laboratory), E. V. Farley, Jr. (NMFS/AFSC, Auke Bay Laboratory), A. B. Hollowed (NMFS/AFSC), P. J. Stabeno (Pacific Marine Environmental Laboratory) "Remarkable changes in atmospheric, oceanic and biological conditions have occurred in recent decades in the North Pacific Ocean including declines in the marine survival of some salmon stocks. Fishery scientists generally agree that in the first few months after leaving freshwater, salmon survival and growth are linked to oceanic variability. The purpose of this research is to focus National Marine Fisheries Service studies on the GLOBEC region, augment oceanographic measurements and determine what biological and physical factors influence the distribution of juvenile salmon. Three general hypotheses are explored in this proposal: (1) juvenile salmon prefer the buoyancy-driven Alaska Coastal Current (ACC) at the head of the Gulf of Alaska, (2) they associate with oceanic temperature, salinity, current and prey fields, and (3) they migrate landward of Kodiak Island in the ACC rather than seaward in the Alaskan Stream. Annual, summer cruises aboard a chartered fishing vessel will catch juvenile salmon on 10 transects between Yakutat Bay and Kodiak Island. The vessel will be outfitted with a thermosalinograph to measure sea-surface temperature and salinity, and with an Acoustic Doppler Current Profiler (ADCP) - each operating continuously for fine-scale resolution. Modeled tidal currents will be removed from ADCP measurements to reveal the mean flow fields. At each trawl site, temperature and salinity profiles will provide water-column properties, and bongo-net hauls will give zooplankton distributions. Stomach samples from juvenile salmonids will be analyzed in the laboratory for diet composition and compared with zooplankton distributions. Analysis of salmon otoliths for hatchery thermal marks and Genetic Stock Identification techniques will be used to determine the home stream of hatchery and wild stocks in the Gulf of Alaska and their distribution with respect to oceanographic regimes. Retrospective analysis of catch per unit effort versus oceanographic and prey factors will reveal what affects the distribution of pink, chum, coho and sockeye salmon in the study region. Proxies for bio-physical factors will be developed and compared with salmon-run size."(project proposal) Data Collection Details: Types: CTD profiles, ADCP profiles of ocean current, juvenile salmonid catch statistics from trawls, salmonid stomach samples analyzed for diet composition, salmonid otolith analyses, Genetic Stock Identification, zooplankton distributions from bongo-net hauls Platform: Chartered fishing vessel Spatial extent: 10 transects perpendicular to the coast between Yakutat Bay and Kodiak Island Temporal extent: ~2 weeks each July-August of 2001-2004.

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The Location Affordability Index is an indicator of housing and transportation costs at the neighborhood level. It gives the percentage of a given family's income estimated to be spent on housing and transportation costs in a given location for eight different household profiles. It is calculated using actual and modeled data for Census block groups in all 942 Combined Base Statistical Areas, which cover 94% of the U.S. population.

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<p><strong>The objective of this project is to precisely control the flow of thermal, electrical and thermoelectrical energy by advancing the development of a new class of thermoelectric (TE) materials. The goals of this project are to (1) optimize metamaterial structure so power generation efficiency can be increased; (2) synthesize high power factor materials once deemed inappropriate for efficient thermoelectrical operation due to their large thermal conductivity; (3) assemble and test a thermoelectric module with an optimized TE metamaterial; and then finally, (4) characterize, on a micron scale, the thermal behavior of the metamaterial. Thermal behavior must be experimentally characterized, under a variety of operating conditions, using a research grade infrared (IR) camera. The results will enable validation studies with finite element models.</strong></p>

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Terrain data, as defined in FEMA Guidelines and Specifications, Appendix N: Data Capture Standards, describe the digital topographic data that were used to create the elevation data representing the terrain environment of a watershed and/or floodplain. Terrain data requirements allow for flexibility in the types of information provided as sources used to produce final terrain deliverables. Once this type of data is provided, FEMA will be able to account for the origins of the flood study elevation data.(Source: FEMA Guidelines and Specifications, Appendix N, Section N.1.2)

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This 2' geoid height grid for the conterminous United States is the GEOID96 model. The computation used about 1.8 million terrestrial and marine gravity data held in the National Geodetic Survey gravity data base in July 1996. These data were augmented by gravity data contributions from NGA (former National Imagery and Mapping Agency (former Defence Mapping Agency)). By means of a Fast Fourier Transform (FFT) technique, high frequency corrections were made to an underlying EGM96 geopotential model through a remove, compute, and restore process. The gravity values are based on the International Gravity Standardization Net 1971 (IGSN71). The geoid heights are referred to the Geodetic Reference System 1980 (GRS80) ellipsoid. GEOID96 incorporates the reference system relationship between NAD 83(86) and ITRF94(1996.0), the datum offset of NAVD 88, and the contributions from 2951 GPS on leveled benchmarks. Additional information is available at http://www.ngs.noaa.gov/GEOID/geoid.htmlWe are particularly grateful to NGA (former National Imagery and Mapping Agency) for their assistance and their data contributions.

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This shapefile represents annual average sea surface temperature recordings. The sea surface temperature is the temperature of the warm water source used by an OTEC plant. This is defined to be near the sea surface at a depth of 20 m, the approximate depth of a warm water intake pipe. Data were processed and converted to shapefile format by NREL for the [Ocean Thermal Extractable Energy Visualization](http://www.osti.gov/bridge/purl.cover.jsp?purl=/1055457/1055457.pdf) ### License Info This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.

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The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. 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 Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information 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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Automated Contingency Management (ACM), or the ability to confidently and autonomously adapt to fault conditions with the goal of still achieving mission objectives, can be considered the ultimate technological goal of a health management system. In an innovative Phase I STTR program, Impact Technologies and Georgia Institute of Technology developed a prototype Test Bench software for developing and validating ACM systems. With the Phase II support of Boeing/Rocketdyne, the primary goal of this project is to further develop and demonstrate a design and development tool for ACM technologies called the Propulsion ACM Test Bench, and to develop specific ACM solutions within this environment for Space Shuttle Main Engine (SSME). The commercial-grade software to be delivered at the conclusion of Phase II will utilize technologies based on open-systems, modular software architectures suitable for 3rd party system integration. Two such modules of note for the Test Bench include an Integration Toolkit for Livingstone2<SUP>TM</SUP> as a Reasoner and a Validation and Verification Toolkit for health management algorithms and the ACM system design. This technology is expected to provide immediate benefit to the SSME program and a comprehensive, SSME software demonstration is planned at the conclusion of the 2 year effort.

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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 1:12,000.

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Tracking System - Practice Management

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The "HIRDLS/Aura Level 3 Dinitrogen Pentoxide (N2O5) Zonal Fourier Coefficients" version 7 data product (H3ZFCN2O) contains the entire mission (~3 years) of HIRDLS data expressed as zonal Fourier coefficients in 1 degree latitude bands and 121 pressure levels. The coefficients are computed from the HIRDLS Level 2 profiles with a Kalman filter approach using both forward and backward passes in time. Expressed as the mean and up to 7 sine and cosine coefficients (4 waves for ascending and descending, 7 waves for combined), these coefficients may be used to compute values at any longitude. The data are provided on a pressure grid with 24 levels per decade, corresponding to about 1 km vertical resolution. The vertical range of the data is 82.5 to 1.0 hPa. The precision values are given by the root-mean square of the differences between the estimated fields and the input data. The data are stored in the version 5 Hierarchical Data Format for the Earth Observing System (HDF-EOS5), which is an extension of the HDF5 format. Each file contains a zonal object with data for the entire mission with separate data fields for ascending (daytime), descending (nighttime), and combined orbit node. The data arrays have 145 latitude steps (-64 to 80 degrees), 121 pressure steps, 15 Fourier coefficients (mean plus first 7 cosine and 7 sign waves), and 1151 daily time steps from January 22, 2005 through March 17, 2008. The coefficients are computed at a daily synoptic time of 12:00 UTC. That time is expressed in TAI-93 seconds (seconds since January 1, 1993) and the date is also stored in separate year, month and day fields. The ascending and descending datasets include LocalSolarTime and SolarZenithAngle values. Parameters contained in the data files include the following: Variable Name|Description|Units N2O5|Dinitrogen Pentoxide (N2O5) Volume Mixing Ratio|mol/mol End of parameter information

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Land Surface Temperature (LST) is a key indicator of land surface states, and can provide information on surface-atmosphere heat and mass fluxes, vegetation water stress, and soil moisture. A daily, day and night, LST data set for continental Africa, including Madagascar, was derived from Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC; 4 km resolution) data for the 6-year lifetime of the NOAA-14 satellite (from 1995 to 2000) using a modified version of the Global Inventory Mapping and Monitoring System (GIMMS) (Tucker et al., 1994). The data were projected into Albers Equal Area and aggregated to 8 km spatial resolution. The data were cloud-filtered with CLAVR-1 algorithm (Stowe et al., 1999). The LST values were estimated with a split-window technique (Ulivieri et al., 1994) that takes advantage of differential absorption of the thermal infrared signal in bands 4 and 5. The emissivity of the surface was generated using a land cover classification map (Hansen et al., 2000) combined with the FAO soil map of Africa (FAO-UNESCO, 1977) and additional maps of tree, herbaceous, and bare soil percent cover (DeFries et al., 2000). Collateral products include cloud mask, time-of-scan, latitude and longitude, and land/water mask files.The data are in flat binary files. Each data file contains 1152 columns and 1152 rows, in signed integer format (2 bytes), with 8 km by 8 km spatial resolution. A unique map exists for each day and each night of the 6-year NOAA-14 lifetime. The data are best used to infer broad temporal and spatial trends rather than pixel-by-pixel values.

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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 New Mexico West (FIPS 2703) State Plane projection and coordiante system The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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Training Resources Management System (TRMS) manages the readiness of the Tactical Support Branch within the Critical Incident Response Group (CIRG) and the FBI's Field SWAT Program. TRMS provides managers with a tool that both assesses how well trained an

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The Office of the Legal Adviser publishes the annual Digest of United States Practice in International Law to provide the public with a historical record of the views and practice of the Government of the United States in public and private international law. In his introduction to the 2003 volume, then Legal Adviser William H. Taft IV stated in part: "The year 2003 witnessed a number of significant developments in the field of international law. The military campaign to oust Saddam Hussein and his regime in Iraq and the continuing effort to locate Osama bin Laden and his supporters gave rise to many important legal issues, including those related to the lawful use of force, the response to international terrorism, and compliance with international humanitarian law. Beyond Iraq and Afghanistan, of course, many other situations affecting international security and stability generated complicated and sensitive issues for the world community and its lawyers. . . ." "The year was also marked by a series of significant cases and decisions in domestic courts and international tribunals related to international law and practice. The International Court of Justice in The Hague handed down its decision on preliminary measures in the Avena case brought by Mexico under the Vienna Convention on Consular Relations, as well as its judgment in the Oil Platforms case (Iran v. United States). By agreement the Lockerbie case (Libya v. United States) before the ICJ was discontinued. Ongoing litigation in our domestic courts concerned fundamental issues arising under two important U.S. statutes, the Alien Tort Statute of 1789 and the 1976 Foreign Sovereign Immunities Act. Other cases began to address issues related to the status and rights of detainees in Guantanamo and the United States. Significant decisions were rendered in several cases by NAFTA tribunals.

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This API lists the topics that we use to organize content on USA.gov. You can access it via the /tags call to the Social Media Registry.

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The data contain records of arrests made by agents of the Drug Enforcement Administration (DEA) during fiscal year 2007. The data were constructed from the DEA Defendant Statistical System file, and include only those arrests made within the United States

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Global Earthquake Hazard Distribution-Peak Ground Acceleration is a 2.5 by 2.5 minute grid of global earthquake hazards developed using Global Seismic Hazard Program (GSHAP) data that incorporate expert opinion in predicting localities where there exists a 10 percent chance of exceeding a peak ground acceleration (pga) of 2 meters per second per second (approximately one-fifth of surface gravitational acceleration) in a 50 year time span. For the purpose of identifying hazard hotspots, values of 2 meters per second per second and less were excluded from analysis. The resulting range of pga values were classified into deciles, 10 classes of approximately an equal number of grid cells. This dataset is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR) and Columbia University Center for International Earth Science Information Network (CIESIN).

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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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DEXI is an intranet application used by SSA users to track all incoming and outgoing data exchanges between SSA and our data exchange partners. Information such as requestor, media type, agreement type, SSA contacts, etc. are captured.

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The Fermi Gamma-ray Space Telescope was launched in June 2008 to explore high-energy phenomena in the Universe. This GI program is targeted specifically at Fermi observations of high-energy solar phenomena, primarily solar flares. We provide quicklook products, data archives, and analysis software covering the solar X-ray and gamma-ray observations of both the Gamma-ray Burst Monitor (GBM) and Large Area Telescope (LAT), with the objective of facilitating and encouraging the broad use of Fermi data by the international solar physics community.

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Sanborn Map Company completed the original classification of the multiple return LiDAR of Horry County, South Carolina in 2009. In 2013, Dewberry was tasked with reviewing and updating the original LiDAR product. The nominal point spacing for this project is 1.4 meters. Dewberry used proprietary procedures to update and reclassify the LAS according to updated project specifications: 1-Unclassified, 2-Ground, 7-Noise,8- Model Key Points, 9-Water, 10-Ignored Ground, 13- Points removed from bridges and culverts (class 13 were converted to class 15 to fit the OCM scheme)

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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. Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The BG boundaries in this release are those that 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; classificatons 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 1:12,000.

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The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. 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 Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information 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).