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The Marine Mammal Protection Act (MMPA) mandates that each fishery be classified by the level of serious injury and mortality of marine mammals that occurs incidental to each fishery is reported in the annual Marine Mammal Stock Assessment Reports for each stock. The LOF is the annual publication that updates these classifications. NOAA Fisheries has developed and implemented fishery classification criteria, which consists of a two-tiered, stock-specific approach. This two-tiered approach first addresses the total impact of all fisheries on each marine mammal stock and then addresses the impact of individual fisheries on each stock. This approach is based on the rate, in numbers of animals per year, of incidental mortalities and serious injuries of marine mammals due to commercial fishing operations relative to a stock's PBR level. The PBR level is defined (50 CFR 229.2) as the maximum number of animals, not including natural mortalities, that may be removed from a marine mammal stock while allowing that stock to reach or maintain its optimum sustainable population. While Tier 1 considers the cumulative fishery mortality and serious injury for a particular stock, Tier 2 considers fishery-specific mortality for a particular stock. Tier 1: annual mortality and serious injury across all fisheries that interact with a stock: If the total is ?10% of the PBR level of this stock, all fisheries interacting with this stock would be placed in Category III. Otherwise, these fisheries are subject to the next tier (Tier 2) of analysis to determine their classification. Tier 2: Annual mortality and serious injury of a stock in a given fishery is: Category I: ?50% of the PBR level Category II: between 1% and 50% of the PBR level Category III: ?1% of the PBR level Category I & II fisheries are then subject to the Marine Mammal Authorization Program, potential take reduction measures, and must carry an observer when requested by NOAA or its designate.

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CDBG activity related to public improvements, including senior centers, youth centers, parks, street improvements, water/sewer improvements, child care centers, fire stations, health centers, non-residential historic preservation, etc.

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Monthly 2000 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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LiDAR data is a remotely sensed high resolution elevation data collected by an airborne platform. The LiDAR sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The LiDAR systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 1.0 meter. The final products include first, last, and at least one intermediate return LAS, full classified LAS and one (1) meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format. The LiDAR data was acquired from February 07, 2012 to March 05, 2012.

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OIT-FMS is a Web-enable Intranet application using active server pages and Oracle database maintained at the Newington Data Center for the users throughout the Office of Information and Technology (OIT). It is designed to provide accurate financial resources for each budget plan by budget transactions and procurement requests and expenses owned by the Resource Management Group (RMG).

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This part of DS 781 presents data for folds for the geologic and geomorphic map of the Offshore of Bolinas map area, California. The vector data file is included in "Folds_OffshoreBolinas.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreBolinas/data_catalog_OffshoreBolinas.html. The Offshore of Bolinas map area straddles the right-lateral transform boundary between the North American and Pacific plates and is cut by several active faults that cumulatively form a distributed shear zone, including the San Andreas Fault, the eastern strand of the San Gregorio Fault, the Golden Gate Fault, and the Potato Patch Fault (Bruns and others, 2002; Ryan and others, 2008). These faults are covered by sediment (mostly unit Qms) with no seafloor expression, and are mapped using seismic-reflection data (see field activities S-8-09-NC and L-1-06-SF). The San Andreas Fault is the primary plate-boundary structure and extends northwest through the southern part of the map area before passing onshore at Bolinas Lagoon. This section of the San Andreas Fault has an estimated slip rate of 17 to 24 mm/yr (U.S. Geological Survey, 2010), and the devastating Great 1906 California earthquake (M 7.8) is thought to have nucleated on the San Andreas a few kilometers south of this map area offshore of San Francisco (e.g., Bolt, 1968; Lomax, 2005). The San Andreas Fault forms the boundary between two distinct basement terranes, Upper Jurassic and Lower Cretaceous melange and graywacke sandstone of the Franciscan Complex to the east, and Late Cretaceous granitic and older metamorphic rocks of the Salinian block to the west. Franciscan Complex rocks (unit KJf, undivided) form seafloor outcrops adjacent to the shoreline southeast of Stinson Beach that are commonly continuous with onshore coastal outcrops. Folds were primarily mapped by interpretation of seismic reflection profile data (see field activities S-8-09-NC and L-1-06-SF). The seismic reflection profiles were collected between 2006 and 2009. References Cited Bolt, B.A., 1968, The focus of the 1906 California earthquake: Bulletin of the Seismological Society of America, v. 58, p. 457-471. Bruns, T.R., Cooper, A.K., Carlson, P.R., and McCulloch, D.S., 2002, Structure of the submerged San Andreas and San Gregorio fault zones in the Gulf of Farallones as inferred from high-resolution seismic-reflection data, in Parsons, T. (ed.), Crustal structure of the coastal and marine San Francisco Bay region, California: U.S. Geological Survey Professional Paper 1658, p. 77-117. Lomax, A., 2005, A reanalysis of the hypocentral location and related observations for the Great 1906 California earthquake: Bulletin of the Seismological Society of America, v. 95, p. 861-877. Ryan, H.F., Parsons, T., and Sliter, R.W., 2008. Vertical tectonic deformation associated with the San Andreas fault zone offshore of San Francisco, California. Tectonphysics, 429 (1-2), p. 209-224. U.S. Geological Survey and California Geological Survey, 2010, Quaternary fault and fold database for the United States, accessed April 5, 2012, from USGS website: http://earthquake.usgs.gov/hazards/qfaults/.

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1. The purpose of this project is to collect, report, and analyze catch and biological information from the commercial west coast trawl catch share fishery. This fishery requires 100% observer coverage. 2. The project is a collaboration between NOAA Fisheries and Pacific States Marine Fisheries Commission (PSMFC). 3. We place observers on commercial fishing vessels that participate in the catch share fishery to collect data on catch and to collect biological data. After collection, data will be quality controlled and then used to produce reports on fishery specific catch of species and mortality of groundfish species. 4. There are many products of this project, including yearly reporting of fishery catch, GIS maps of effort and catch, mortality of groundfish, bycatch of halibut and protected species, and to write manuscripts. 5. The primary management audience is the Pacific Fisheries Management Council (PFMC). However, this data is highly sought after by researchers. 6. On-going project. 7. Stand-alone project. 8. We have many deadlines throughout the year from management, scientific, regional, industry, and other users of observer data and observer data analyzes. Fishery dependent data collected in the at-sea hake sectors. This data set includes the raw observer catch data

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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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The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/

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This data set represents the extent of the California Coastal Basin aquifers in California.

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NLRB R-Case (Elections) Frequently Request Fields data from CATS (Case Activity Tracking System) for FY 2005

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A collection of SNF Medicare cost report data from the CMS Form 2540-96.

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Munro offer an innovatiive, intelligent, fully integrated hardware and software cockpit system solution for handling many General Aviation (GA) and UAV emergencies so as to minimize NextGen ATM disruption while saving lives. This ADS-B-ER system will provide GA airplanes and UAVs automated -ER trajectories to the nearest suitable airport avoiding terrain/obstacles, hazardous weather and restricted airspace.

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Terrain data, as defined in FEMA Guidelines and Specifications, Appendix M: Data Capture Standards, describes the digital topographic data that was 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 M, Section N.1.2).

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This document is an act made to revise the procedures of conveying certain lands to the state of Hawaii. It designates certain lands on Sand Island as lands that can be passed on to Hawaiian ownership.

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The Code of Federal Regulations (CFR) is the codification of the general and permanent rules published in the Federal Register by the executive departments and agencies of the Federal Government. It is divided into 50 titles that represent broad areas subject to Federal regulation. Each print volume of the CFR is updated once each calendar year, and is issued on a quarterly basis. Bulk data downloads of Code of Federal Regulations files in XML format are available from 2007 to the present, by year, title, and volume. The current XML data set is not yet an official format of the Code of Federal Regulations. Only the PDF and Text versions have legal status as parts of the official online format of the Code of Federal Regulations. The XML-structured files are derived from SGML-tagged data and printing codes, which may produce anomalies in display. In addition, the XML data does not yet include image files. Users who require a higher level of assurance may wish to consult the official version of the Code of Federal Reulations on FDsys.gov. The FDsys data set includes digitally signed Code of Federal Regulations PDF files, which may be relied upon as evidence in a court of law. See: http://www.gpo.gov/fdsys/browse/collectionCfr.action?collectionCode=CFR

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Monthly 2008 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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CMS is committed to increasing access to its Medicare claims data through the release of de-identified data files available for public use. They contain non-identifiable claim-specific information and are within the public domain. The individual files are Inpatient, DME Line Items, Hospice, Carrier Line Items, Home Health, Outpatient, and Skilled Nursing.

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The FedEx Invoice Payment System (FIPS) application replaces the existing FedEx Directlink application and automates the FedEx payment processing. The FIPS application allows FBI personnel to upload and download FedEx invoice data from FedEx to FBI's UNET

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<p> Energy consumption and cost are a continuing issue in the world, including JSC Buildings.  New technologies and designs in the commercial world have made available LED lighting tubes that can be easily retrofitted/replaced into standard fluorescent rod light fixtures found commonly in JSC offices/buildings.  While the upfront cost of the hardware exceeds standard fluorescent rods (by 2 to 4 times), the energy savings is quoted as up to 50% or more.  The retrofit time/complexity is minimal, in that the ballast must be removed or bypassed, but the rods then fit into existing fixtures. The proposal is to evaluate and test at least two COTS versions of LED light rods, in a typical office area, for the factors of overall lighting quality, energy savings, labor time/cost for retrofit, and delta in maintenance required based on quoted hardware life expectancy vs. typical cost for repair/replacement of fluorescent  fixtures.</p> <p> This project completed retrofit of three typical office areas in Bldg. 7 with prototype LED rods from two vendors.  The measured savings in operating power was approximately 73%, which did not include the savings for air conditioning from removal or bypass of the hot ballast.  The measured quality of the lighting (in Foot Candles at varying distance) was greater with the LED bulbs, without consideration to the fixture covering.  Retrofit was demonstrated as simple to implement.  The benefits of this technology are significant, and further study to implement this new technology into laboratories and other areas of JSC is recommended.</p> <div style="margin-left: 0.5in">  </div> <p>  </p>

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QUAL2K (or Q2K) is a river and stream water quality model that is intended to represent a modernized version of the QUAL2E (or Q2E) model (Brown and Barnwell 1987).

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Terrain data, as defined in FEMA Guidelines and Specifications, Appendix M: Data Capture Standards, describes the digital topographic data that was 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 M, Section M.4).

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Note: This data set is now on FTP so references to CD-ROM are historic and no longer applicable. The Historical Arctic Rawinsonde Archive is on FTP, and it contains millions of vertical soundings of temperature, pressure, humidity, and wind, representing all available rawinsonde ascents from Arctic land stations poleward of 65 degrees North. HARA includes soundings from the beginning of record through mid-1996. Most stations began recording soundings in the late 1950s, but a few began in 1947 or 1948. Coverage is relatively uniform, except for the interior of Greenland. Typically, 20 to 40 levels are available in each sounding. HARA documentation is provided in the FTP directory and in hard copy (NSIDC Special Report 2, 1992). The FTP directory contain software (Fortran and C) for retrieval of sounding data subsets. The original soundings were obtained from the National Center for Atmospheric Research (NCAR), Boulder, Colorado and the National Climatic Data Center (NCDC) of NOAA in Asheville, North Carolina.

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Average Monthly Chlorophyll - Each image represents one calendar month

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The Vision for Space Exploration (VSE) calls for encouraging commercial participation as a top-level objective. Given current and future commercial activities, how should the government satisfy this objective? How can simulation of future companies determine the most likely to emerge? This innovation seeks to answer such questions envisioning a diverse set of four possible future space companies (orbital habitats/hotels, orbital tourist delivery, propellant depots, lunar excursion tourism, and lunar In-Situ Resource Utilization), examining their business case in spreadsheet-based models (both deterministically and probabilistically), modeling them in a higher fidelity agent-based modeling (ABM) environment (that is new to the aerospace industry but has been used by the authors of the proposal), determining the impact on a company's financial bottom-line, and finding potential cost savings to the government of using those products and services in future space exploration activities. Phase I will entail basic research of each of the four of case studies (or companies) as they are referred to here, spreadsheet-based modeling and analysis of each case study, and preliminary definition of the behaviors required for agent-based modeling. Phase II will entail development of a high fidelity, agent-based model of each company, their competitors, and their customers (commercial and the government).