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The Debt Position and Activity Report shows the current and historical debt position of the U.S. Department of the Treasury in relation to debt held by the public, intragovernmental holdings, and statutory debt limit. Issue and redemption activity are also provided in this report.

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The Document Management System will provide FHWA the capability to integrate document creation, storage, and transfer with critical business process applications. The electronic DMS is comprised of 2 components: (1) a SharePoint solution delivered as a temporary solution for 3 field offices that were using GroupWise, that was intended to provide a temporary solution while FHWA explored other enterprise Document and Records Management solutions that better served the needs of the entire mode. This is operational, and It will be decommissioned upon implementation of the enterprise solution. (2) the Enterprise Document and Records Management solution. We have completed the initial requirements phase.?

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Growing interest in precise measurements of methane concentration and distribution in the Earth's atmosphere is stimulating efforts to develop LIDAR systems in the spectral region of 1.65 um utilizing Path Differential Absorption techniques. The key element of such systems is a high energy optical source with good beam properties operating in the vicinity of a methane absorption line.

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Captures sources of Death Data from systems that interfaces with Death Alerts Control and Update System Death Alerts Control and Update System (DACUS).

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TSMI provides configuration, management, function options, and maintenance procedures for the VoIP Station Manager. Station Administration functions include management information, configuration and management, and voice message reporting.

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This annual narrative report for Lake Andes Wetlands District outlines Refuge accomplishments during the 1970 calendar year. The report begins by summarizing the weather conditions, habitat conditions, water conditions, and food and cover conditions during the year. Wildlife including migratory birds, upland game birds, big game animals, furbearers, predators, rodents, mammals, reptiles, and diseases is also covered. The Refuge development and maintenance section discusses physical developments, plantings, collections and receipts, and vegetation control. Resource management is outlined; topics include fur harvesting. A progress report on field investigations and applied research is also provided. The public relations section of the report describes Refuge visitors, Refuge participation, hunting, violations, and safety. Items of interest, NR forms, and photographs are attached.

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This model product contains the source code for the Ecosystem Demography Model (ED version 1.0) as well as model input and output data for a portion of South America including the Brazilian Amazon. The model output data are estimates of potential average live biomass (kg C/m2), potential average soil carbon (kg C/m2), and potential above-ground net primary production (NPP) (kg C/m2/yr) at 1.0 degree resolution. To produce these estimates, ED was forced with ISLSCP I data for 1987 and 1988, averaged into a single year (Moorcroft et al., 2001). Data for the three estimates are provided in both ASCII text and in NetCDF formatted files. ED is an individual-based terrestrial ecosystem model that predicts both ecosystem structure (e.g. above and below-ground biomass, vegetation height and basal area, and soil carbon stocks) and corresponding ecosystem fluxes (e.g. NPP, NEP and evapotranspiration) from climate, soil, and land-use inputs. The model consists of integrated sub-models governing processes such as leaf-level physiology, plant allocation, allometry, phenology, dispersal, the effects of fire disturbances, and below-ground sub-models for soil carbon dynamics and hydrology. Using a new method for scaling-up it is possible to predict ED's large-scale behavior without simulating the fate of every plant individually. ED is used to examine how climate and edaphic factors, natural disturbances, and human land-use practices affect ecosystem structure and fluxes. This data set contains six zip files which each uncompress into six unique subdirectories. Each subdirectory is described in detail in the Model Product Description section of this document. Installation and execution instructions are provided in the Model Documentation and User's Guide section of this document.

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This data store contains information to support automated appointed representative fee payments (attorneys and eligible for direct pay non-attorneys - EDPNA) and other Title II payments that cannot be made through the current Title II System.

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The Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) Emissions Scenarios Dataset Version 1.1 consists of 40 global and regional greenhouse gases (GHGs) and sulfur emissions scenarios projected every 10 years beginning in 1990 through 2100. The scenarios are based on extensive assessment of driving forces and emissions in the scenario literature, alternative modeling approaches, and an open process that solicited wide participation and feedback. The scenarios provide the basis for future assessments of climate change and possible response strategies. This dataset is produced by the IPCC and is distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

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Cholla Lake is a cooling reservoir for the coal fired Cholla electrical generating plant. The lake provides recreational fishing and water contact recreation. The fish populations are selfsustaining. I collected water, sediment, and whole body fish samples to be analyzed for levels of some possibly toxic inorganic constituents. I also measured dissolved oxygen, pH, and Secchi disk transparency. I compared current fish population structure, fish stomach contents, and the frequency of occurrence of benthos, with those same parameters in previous studies. Water temperature and turbidity have increased; catfish and bluegill have increased in their relative abundance; and the density of benthic invertebrates has decreased. Aquatic insects occur most commonly in the stomach contents of bluegill and filamentous algae in the stomachs of catfish. Selenium levels in all matrices exceed national averages and are above levels in a nearby reservoir unaffected by the power station.

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Automatic Identification Systems (AIS) are a navigation safety device that transmits and monitors the location and characteristics of many vessels in U.S. and international waters in real-time. In the U.S. the Coast Guard and industry collect AIS data, which can also be used for a variety of coastal planning purposes. NOAA and BOEM have worked jointly to re-task and make available some of the most important records from the U.S. Coast Guard's national network of AIS receivers. Information such as location, time, ship type, length, width, and draft have been extracted from the raw data and prepared as track lines for analyses in desktop GIS software. The data represented in this dataset is a subset of the 2011 Gulf of Mexico Vessel Traffic showing only passenger vessel traffic.

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This census is the seventh enumeration of state adult correctional institutions and the fourth of federal institutions sponsored by the Bureau of Justice Statistics and conducted by the Bureau of the Census. Earlier censuses were completed in 1979 (ICPSR

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The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 purpose of this file is to provide the geography for the 2010 Census Blocks along with their 2010 housing unit count and population. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.

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Abstract:The Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) are instruments onboard the Landsat 8 satellite, which was launched in February of 2013. The satellite collects images of the Earth with a 16-day repeat cycle, referenced to the Worldwide Reference System-2 (WRS-2), and has an 8-day offset to Landsat 7. The satellite achieved operational WRS-2 orbit on April 11, 2013. Landsat OLI image data consists of nine spectral bands (band designations) with a spatial resolution of 30 meters for Bands 1 through 7 and Band 9. The resolution of Band 8 (panchromatic) is 15 meters. Landsat TIRS image data consists of two thermal bands with a spatial resolution of 100 meters (resampled to 30) for Bands 10 and 11. The TIRS data are packaged with the OLI for data distribution the majority of the time; however there are a small number of only-OLI or only-TIRS scenes that may be available. The approximate scene size will be 170 km north-south by 183 km east-west (106 mi by 114 mi).

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Special Care Areas (SCA) are nursing care areas which specialize in patients who undergo bone marrow (stem cell) transplant for the treatment of various disorders; or require management and treatment for cancer and/or blood disorders; or require postoperative care after solid organ transplant. This table shows the hospital-specific central line-associated bloodstream infection (CLABSI) data by patient care locations in Special Care Areas. The CLABSI data for each hospital patient care location include number of CLABSIs, central line-days and patient days, CLABSI rates per 1000 line days and their 95% confidence intervals. We also performed a statistical analysis to determine if the rates are statistically higher, lower, or no different than California average rates. California average rates for 2013 can be found at http://www.cdph.ca.gov/programs/hai/Documents/2013-CLABSI-T1.pdf. CLABSI rates are affected by clinical and infection control practices related to central line insertion and maintenance practices, patient-based risk factors, and surveillance methods. While stratifying CLABSI rates by patient care location makes rates more comparable, it cannot control for all individual patient factors that can affect CLABSI rates. A low CLABSI rate may reflect greater diligence with infection prevention or may reflect less effective surveillance methods that detect fewer infections, including failure to appropriately apply standardized surveillance definitions and protocols. Similarly, a high rate may reflect failure to consistently implement all recommended infection prevention practices or more aggressive infection surveillance including more consistent application of standardized surveillance definitions and protocols. Finally, readers should consider comparisons between two time periods cautiously, as more time is needed to determine if changes will be sustained, and therefore, more meaningful. To link the CDPH facility IDs with those from other Departments, like OSHPD, please reference the "Licensed Facility Cross-Walk" Open Data table at https://chhs.data.ca.gov/Facilities-and-Services/Licensed-Facility-Cross.... A list of healthcare facilities can be found at: https://cdph.data.ca.gov/Facilities-and-Services/Healthcare-Facility-Loc...

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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 Central (FIPS 3002) 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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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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NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Grid spacings for the DEMs range from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).

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During 2010, the U.S. Geological Survey and other agencies made approximately 2,500 water-level measurements in the Mojave River and Morongo groundwater basins. These data document recent conditions and, when compared with previous data, changes in groundwater levels. A water-level contour map was drawn using data from about 610 wells, providing coverage for most of the basins. Twenty-eight hydrographs show long-term (up to 70 years) water-level conditions throughout the basins, and 9 short-term (1997 to 2010) hydrographs show the effects of recharge and discharge along the Mojave River. In addition, a water-level-change map was compiled to compare 2008 and 2010 water levels throughout the basins. (513 wells)

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TASK NAME: Wayne and Washtenaw Counties 1.0 PPSM LiDAR LiDAR Data Acquisition and Processing Production Task USGS CONTRACT: 07CRCN0006 TASK ORDER NUMBER: G09PD00300 CONTRACTOR: Woolpert, Inc. 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. This data was collected at a resolution of one point per square meter. The final products include reflective surface, first, last, and at least one intermediate return, a bare earth model, and intensity data in separate files. The reflective surface data represents the DEM created by the laser energy reflected from the first surface encountered by the laser pulse. Some energy may continue beyond this initial surface, to be reflected by a subsequent surface as represented by the last return data. Intensity information is captured from the reflective surface pulse and indicates the relative energy returned to the sensor, as compared to the energy transmitted. The intensity image is not calibrated or normalized but indicates differences in energy absorption due to the the interaction of the surface materials with laser energy, at the wavelength transmitted by the sensor. The bare earth model is created by identifying the returns that fall on the ground surface and by interpolating a surface between these points. In this manner, buildings and vegetation are removed from the bare earth model. This data set does not include bridges and overpasses in the bare earth model as the delineation point for these structures is not reliably discernible in the LiDAR 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). The file is georeferenced to earth's surface using the 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 document contains wildlife utilization surveys in the Arctic villages of Alaska during May 211, 1956.

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FEMA Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme, orthographic imagery, is packaged in a separate NFIP Metadata Profile): cadastral, geodetic control, governmental unit, transportation, general structures, hydrography (water areas and lines). These data include an encoding of the geographic extent of the features and a minimal number of attributes needed to identify and describe the features. (Source: Circular A16, p. 13)

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Index of select appellate cases and briefs filed by the U.S. Department of Justice, Antitrust Division since January 1993. Cases are listed in reverse chronological order by brief date and by name of individual defendants, by company name, or by the entit

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NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to a variety of vertical datums and horizontal datum of World Geodetic System of 1984 (WGS84). Cell size for the DEMs ranges from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).