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The Office of National Marine Sanctuaries manages a system of sanctuaries and other managed areas around the country. The legal boundaries of These sanctuaries are defined within the Code of Federal Regulations, at 15 C.F.R. Part 922 and the subparts for each national marine sanctuary. The GIS compatible digital boundary files for each national marine sanctuary are representations of those legal boundaries and are based on the best available data. These files are available for public use at locations defined in this metadata record.

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NREL's Research and Support Facility (RSF) energy model for 2011.

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We propose to demonstrate an eye-safe laser source for a DIAL CO2 sensor that meets or exceeds all topic requirements for a high-pulse-energy laser with good beam quality, transform-limited spectrum, and efficiency >25%. Our approach will use a cavity-dumped resonator to directly generate Nd 1.4-micron pulsed output, and injection seeding for spectral narrowing. This approach, while based on established technology, is innovative in finding an optimal solution from uncommon elements. Our design allows us to start with a well-behaved four-level laser instead of the problematic quasi-three-level lasers like Er:YAG and Er:glass (fiber). Moreover, it avoids the loss in efficiency that comes from using an OPO pumped by the common 1-micron Nd or Yb laser to generate eye-safe near-IR output. We also propose to demonstrate that our laser performance is tolerant of high-temperature operation, making passive cooling possible with major advantages in overall size, weight, wall plug efficiency, and power scalability.

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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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A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled "The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology." Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation.

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This digital dataset describes the location of 21 extensometers used for observations of subsidence in the Central Valley Hydrologic Model (CVHM). The Central Valley encompasses an approximate 50,000 square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling code MODFLOW-FMP (Schmid and others, 2006). This simulation is referred to here as the CVHM (Faunt, 2009). Utilizing MODFLOW-FMP, the CVHM simulates groundwater and surface-water flow, irrigated agriculture, land subsidence, and other key processes in the Central Valley on a monthly basis from 1961-2003. The total active modeled area is 20,334 square-miles. Water levels, water-level altitude changes, and water-level and potentiometric-surface altitude maps; streamflows; boundary flows; subsidence; groundwater pumpage; water use; and water-delivery observations were used to constrain parameter estimates throughout the calibration of the CVHM. Measured compaction from data collected by extensometers in the valley was used as a subsidence calibration target. Subsidence monitoring observations can provide valuable information about hydrologic parameters such as elastic and inelastic skeletal specific storage. The CVHM was adjusted to fit the range of measured compaction at the extensometer sites utilizing UCODE-2005 (Poeter and others, 2006) and manual calibration. The calibration target was the measured compaction from several extensometers in the region. Compaction though delayed drainage and re-pressurizing of aquitards was not simulated. The CVHM is the most recent regional-scale model of the Central Valley developed by the U.S. Geological Survey (USGS). The CVHM was developed as part of the USGS Groundwater Resources Program (see "Foreword", Chapter A, page iii, for details).

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Law Enforcement Online (LEO) is an information sharing network that provides secure communications, distance learning, broad and immediate dissemination of information, and related services to the local, state, and Federal law enforcement, criminal justic

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Preliminary Toxics Release Inventory Data. The Toxics Release Inventory (TRI) is a publicly available EPA database that contains information on toxic chemical releases and waste management activities reported annually by facilities in certain industries as well as federal facilities. The TRI Program provides the Preliminary Toxics Release Inventory dataset annually in mid- to late July to give the public an opportunity to see the most recent TRI information prior to the publication of the TRI National Analysis report in December. Please note that the Preliminary Toxics Release Inventory dataset is not yet complete and will be updated every two weeks as the TRI Program continues to process additional reporting year 2012 TRI submissions. DISCLAIMER: See http://www2.epa.gov/toxics-release-inventory-tri-program/2012-tri-preliminary-dataset for limitations and other information regarding the use of this data.

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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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This data set is part of a larger set of data called the MultiBeam Bathymetric Data Base (MBBDB) where other similar data can be found at http://maps.ngdc.noaa.gov/viewers/multibeam/

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This database is part of the National Medical Information System (NMIS). The National Health Care Practitioner Database (NHCPD) supports Veterans Health Administration Privacy Act requirements by segregating personal information about health care practitioners such as name and social security number from patient information recorded in the National Patient Care Database for Ambulatory Care Reporting and Primary Care Management Module.

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This data set represents U.S. Geological Survey (USGS) historical Land Use and Land Cover (LULC) from the 1970's that has been refined with 2000 population density at the block group level to indicate new residential development representative of the early 2000's. Any area having a population density of at least 1,000 people per square mile had been re-classified as "urban" land in this data set.

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The objective of this project is to develop a simple approach for estimating the carrying capacity of nearshore and offshore marine habitats to support juvenile Chinook salmon during their initial marine life stage. This study focuses on subyearling Chinook salmon in the Puget Sound region of Washington state during their residence in Puget Sound. Krista Bartz was the principal investigator for this project, with guidance from collaborators, but has left the agency: * Correigh Greene, Casey Rice, and Kurt Fresh (Northwest Fisheries Science Center, NWFSC) * Dave Beauchamp and Liz Duffy (University of Washington, UW) * Eric Beamer (Skagit System Co-Operative) * Mary Ruckelshaus (Natural Capital Project) Specific work to be completed involves honing techniques for validating the capacity estimates, and completing a manuscript describing the work. Specific product to be produced is a peer-reviewed manuscript. Audience for the project was initially intended to be NWFSC staff involved in parameterizing a Puget Sound-wide life-cycle model for Chinook salmon. Since ~2008, when that effort stalled, there has been a resurgence in interest in developing such a model. This is a one-time, stand-alone project with a soft deadline of December 2014. Meeting the deadline depends on finding staff to accomplish the work. Data is modeled data on carrying capacity which is generated from several existing field data sets- see Worksites.

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The GPM Ground Validation Environment Canada (EC) Visibility Sensor FD12P and Present Weather Detector GCPEx dataset collected data January 15 through March 1, 2012 in Huronia, Canada for the GPM Cold-season Precipitation Experiment (GCPEx). The FD12P combines the functions of a forward scatter visibility meter and a present weather detector. It also measures the intensity and the amount of both liquid and solid precipitation.

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Short reports on conference spending by the U.S. Office of Personnel Management (OPM) as required by the Office of Management and Budget (OMB) Memorandum M-12-12.

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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 State Plane 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 1:12000.

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This data collection provides an overview of how probation cases are processed in 32 urban and suburban jurisdictions in the United States and gauges the extent to which variations in probation patterns exist between jurisdictions. Data were collected on

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In 2008, the Monitor National Marine Sanctuary (MNMS) commenced a multiyear project focusing on shipwreck sites associated with the Battle of the Atlantic. During WWII, this was the closest theater of war to the continental United States. Directly off the coast of North Carolina remains a collection of nearly 200 shipwrecks from one of the most significant battles in one of the most historic wars in world history. In previous years, MNMS and partners have collected data and completed archaeological surveys of four sites. Additionally, with OER support, the 2009 field season conducted a multibeam sonar and ROV survey to discover and document previously unknown deep-water shipwrecks. Several targets were identified, which would benefit from more detailed characterization using advanced imaging technology.

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This survey, the first in the Bureau of Justice Statistics' program on Law Enforcement Management and Administrative Statistics (LEMAS), presents information on three types of general purpose law enforcement agencies: state police, local police, and sheri

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The dataset contains producer price index - 12 month change data

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The U.S. Geological Survey (USGS) contracted with Hawaii-based Aerial Surveying, Inc. to collect lidar-derived elevation data over the low-lying areas within the northwestern Hawaiian Islands (NWHI) during the summer of 2010. A separate contract issued to Aerial Surveying, Inc. by the National Oceanic and Atmospheric Administration (NOAA) funded the lidar data processing and elevation data product development phases of the project. Lidar data provide high resolution digital elevation models that are used for many applications, including but not limited to sea level rise modeling, habitat assessments, and tsunami inundation modeling. In April 2011, NOAA Papahanaumokuakea Marine National Monument and NOAA Office for Coastal Management deployed a survey crew to the NWHI to collect high accuracy point data to validate the 2010 lidar data. The survey crew used survey-grade Global Positioning System (GPS) receivers to collect high accuracy elevation points. This metadata covers the information for Midway Atoll. This dataset contains lidar point clouds in LAS 1.2 format, classified in the following ASPRS standards as Class 1: Unclassified, Class 2: Ground, and Class 9: Water. The following are the equipment used to create the lidar data sets. Aircraft: Beechcraft Queen Air Lidar Systems: Riegl 140 and 240 Accuracy statements are based on areas of open terrain, with points classified as ground. The accuracy of each point is expected to meet the vertical accuracy standard, derived products may be less accurate in areas of extreme terrain and dense vegetation due to a lesser number of points defining the ground in these areas. Classified data sets such as this one may have varying posting due to some pulses not reaching the ground. This work was conducted under permit number PMNM-2010-033 as approved by NOAA, the U.S. Fish and Wildlife Service (USFWS), and the State of Hawaii, and acknowledged by Dr. Charles L. Littnan of NOAA's Pacific Islands Fisheries Science Center.

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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 Common Core of Data, 2005-06 (CCD 2005-06) is a study that is part of the Common Core of Data (CCD) program; program data is available since 1986-1987 at . CCD 2005-06 (http://nces.ed.gov/ccd/index.asp) is a cross-sectional survey that collected fiscal and non-fiscal data about all public schools, public school districts and state education agencies in the 50 United States, the District of Columbia, Department of Defense schools, Bureau of Indian Affairs, and other outlying jurisdictions. The data were supplied by state education agency officials and included basic information and descriptive statistics on public elementary and secondary schools and schooling in general. Key information produced from CCD 2005-06 include information that described schools and school districts, including name, address, and phone number; student counts by race/ethnicity, grade and sex and full-time equivalent (FTE) staff counts by labor category; and fiscal data, including revenues and expenditures.

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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. The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas Shapefile includes the following legal entities: federally recognized American Indian reservations and off-reservation trust land areas, state-recognized American Indian reservations, and Hawaiian home lands (HHLs). The statistical entities included are Alaska Native village statistical areas (ANVSAs), Oklahoma tribal statistical areas (OTSAs), tribal designated statistical areas (TDSAs), and state designated tribal statistical areas (SDTSAs). Joint use areas are also included in this shapefile refer to areas that are administered jointly and/or claimed by two or more American Indian tribes. The Census Bureau designates both legal and statistical joint use areas as unique geographic entities for the purpose of presenting statistical data. Note that tribal subdivisions and Alaska Native Regional Corporations (ANRCs) are additional types of American Indian/Alaska Native areas stored by the Census Bureau, but are displayed in separate shapefiles because of how they fall within the Census Bureau's geographic hierarchy. The State of Hawaii's Office of Hawaiian Home Lands provides the legal boundaries for the HHLs. The boundaries for ANVSAs, OTSAs, and TDSAs were delineated for the 2010 Census through the Tribal Statistical Areas Program (TSAP) by participants from the federally recognized tribal governments. The Bureau of Indian Affairs (BIA) within the U.S. Department of the Interior (DOI) provides the list of federally recognized tribes and only provides legal boundary information when the tribes need supporting records, if a boundary is based on treaty or another document that is historical or open to legal interpretation, or when another tribal, state, or local government challenges the depiction of a reservation or off-reservation trust land. The boundaries for federally recognized American Indian reservations and off-reservation trust lands are as of January 1 of the public shapefile release year, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries for state-recognized American Indian reservations and for SDTSAs were delineated by a state governor-appointed liaisons for the 2010 Census through the State American Indian Reservation Program and TSAP respectively.

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Exposure to detrimental concentrations of lead has been documented in waterfowl in Alaska. In spectacled eiders Somateria fischeri and longtailed ducks Clangula hyemalis, lead exposure has been demonstrated on the YukonKuskokwim Delta YK Delta at levels that have negative population effects Franson et al. 1995, Flint et al. 1997, Flint and Grand 1997, Flint and Herzog 1999. Additionally, Stellers eiders Polysticta stelleri breeding near Barrow on the North Slope showed high levels and rates of exposure Trust et al. 1997; A. Matz, U.S. Fish and Wildlife Service, unpubl. data, and 11 percent of longtailed ducks captured northeast of Teshukpuk Lake on the North Slope in 1980 had lead shot in their gizzards Taylor 1986. Breeding populations of Stellers and spectacled eiders in Alaska have declined dramatically and both are listed as threatened species. King eiders S. spectabilis, common eiders S. mollissima and longtailed ducks are listed as species of concern by the Alaska Natural Heritage Program. Common eider population trend information is sparse, but a migration study at Barrow suggests a large 50 percent decline from 1976 to 1994. The presumed source for avian exposure above background is ingestion of lead shot, which waterfowl consume either intentionally or accidentally while feeding in wetlands where hunting has occurred. Lead shot settles slowly, with some shot potentially available more than three years after deposition Flint 1998; P. Flint, unpubl. data. Alternatively, birds could be exposed to background lead associated with naturally occurring sediment concentrations or dispersed sources such as emissions from combustion of automotive gasoline or industrial processing. While use of leaded gasoline has declined overall in the Northern Hemisphere since the 1970s, combustion of leaded gasoline from Europe and Asia is still the major source of atmospheric lead in the Arctic Dietz et al. 1998, Barrie et al. 1997. Baseline lead levels in the Arctic are typically low, however, except near point sources such as smelters, mining sites, and military installations such as Distant Early Warning DEW sites e.g., Braune et al. 1999. Avian exposure to lead from shot can be determined using radiographs or dissection, if shot are present within the bird. However, lead isotope analysis can identify sources even when no lead shot are found. Ratios of lead isotopes e.g., 206 Pb 207Pb can distinguish between different environmental sources, such as gasoline, natural deposits, or lead shot Scheuhammer and Templeton 1998, Gelinas and Schmit 1997, Blais 1996. This technique has been used to identify lead shot as the major source of exposure for loons, waterfowl, and eagles in Canada Scheuhammer and Templeton 1998. Our study goals were to identify the isotopic signatures of potential sources of lead exposure for nesting eiders and longtailed ducks on the YK Delta and along the North Slope, and to examine variation in lead isotopic signatures over a range of blood lead concentrations in the same species. We were also interested in determining if the standard clinical blood lead threshold of 0.2 ppm Friend 1985 was applicable to eiders and other waterfowl in Alaska, because nesting YK Delta spectacled eider blood lead concentrations did not have an expected specific breakpoint at 0.2 ppm between background concentrations and elevated concentrations. Lack of a definitive breakpoint suggested that the level above which eiders should be considered poisoned by or even exposed to lead above background was unclear, based on standard blood lead residue analyses. We therefore compared blood isotopic signatures to those from reference matrices sediments and shot to define blood concentrations indicative of exposure to lead shot.