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This census provides information on county and municipal jails facilities in the United States and their administration. For all jails, the data include number of prisoners and their reason for being held, age and sex of prisoners, maximum sentence that c

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The data represent predicted number of individuals of each listed seabird species per standardized survey segment (15 minute travel time at 10 knots = approx. 2.5 nautical miles (Nm) or 2.9 statute miles.) Therefore, if the average annual abundance number for a species is 0.2-0.3, then this model estimates that, on average, a single animal would be seen for every 3.3 - 5 survey segments conducted at randomly selected times of the year. Note that some species models were not estimated for all seasons due to very low/no abundance in those seasons, so the annual abundance is based only on the actual seasons modeled, assuming 0 abundance in other seasons. Annual average abundance prediction models were constructed in a study modeling at-sea occurrence and abundance of marine birds (to support Mid-Atlantic marine renewable energy planning). The Compendium of Avian Information in the U.S. Atlantic Outer Continental Shelf was used as a basis for this study, as it characterizes the survey effort and bird observations collected from the Atlantic Outer Continental Shelf since 1978. The study was conducted for BOEM by NOAA/NOS/NCCOS in collaboration with the USGS Patuxent Wildlife Research Center under interagency agreement. Within the study twenty-seven different species were modeled with up to four seasonal models for each species. These seasonal models were then averaged into mean relative abundance layers, which were then reclassified by NOAA OCM into a common classification scheme for display purposes in marinecadastre.gov. Please refer to the final report for more information about how these estimates were calculated.

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The MODIS/Terra Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based to grid-based global products. Information on each individual MODIS Platform/Product are available at: https://lpdaac.usgs.gov/lpdaac/products/modis_products_table

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This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery was acquired from 20150203 - 20150215 with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution to support the final ortho-rectified mosaic.

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We propose a portable data acquisition and prognostic system that contains both hardware and software with several innovative ideas. First, our hardware system consists of a high speed data acquisition card and a portable lunchbox PC. The portable lunchbox PC has advanced prognostics algorithms and user friendly Graphical User Interface (GUI) for displaying component fault status and trends. Second, the prognostics software has several innovative algorithms, which will be implemented in Labview. The first one is an adaptive physics based prognostic tool. The idea is motivated by damage mechanics, which associates the vibration amplitude and natural frequency of the vibration to the damage status. This idea has been experimentally proven to be very accurate in bearing failure prediction. The second prognostic tool is data driven and is a Hidden Markov Model (HMM) based approach that can predict the degraded state of the system. Tests using experimental data showed that the various degraded states can be correctly and unambiguously identified by the algorithm. The third tool is a hybrid one and was proven to achieve very high performance in the 2008 PHM Challenge. Finally, to further enhance the prognostic performance, we propose to apply Dempster Shafer algorithm to perform prognostic fusion.

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This Wilderness Plan for Agassiz NWR provides background information on the Refuge and its objectives as well as a description of the Agassiz Wilderness Area. Management activities including prescribed burning, wildlife inventories, weed control, insect control, and disease control are covered. Public use activities are outlined as well as public health and safety.

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These data are qualitatively derived interpretive polygon shapefiles and selected source raster data defining surficial geology, sediment type and distribution, and physiographic zones of the sea floor from Nahant to Northern Cape Cod Bay. Much of the geophysical data used to create the interpretive layers were collected under a cooperative agreement among the Massachusetts Office of Coastal Zone Management (CZM), the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, the National Oceanic and Atmospheric Administration (NOAA), and the U.S. Army Corps of Engineers (USACE). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of seafloor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes because of natural or human effects. The project is focused on the inshore waters of coastal Massachusetts. Data collected during the mapping cooperative involving the USGS have been released in a series of USGS Open-File Reports (http://woodshole.er.usgs.gov/project-pages/coastal_mass/html/current_map.html). The interpretations released in this study are for an area extending from the southern tip of Nahant to Northern Cape Cod Bay, Massachusetts. A combination of geophysical and sample data including high resolution bathymetry and lidar, acoustic-backscatter intensity, seismic-reflection profiles, bottom photographs, and sediment samples are used to create the data interpretations. Most of the nearshore geophysical and sample data (including the bottom photographs) were collected during several cruises between 2000 and 2008. More information about the cruises and the data collected can be found at the Geologic Mapping of the Seafloor Offshore of Massachusetts Web page: http://woodshole.er.usgs.gov/project-pages/coastal_mass/.

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This data set shows the 1991 and 1994 National Water-Quality Assessment (NAWQA) study units' major surface-water sampling sites. These sites are in NAWQA's fixed network and (or) in a bed sediment and tissue network.

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The US Environmental Protection Agency - Western Ecology Division (EPA) has been monitoring above- and belowground climate data from 23 locations along an Oregon Cascade Mountain Crest-to-Coast transect since 1993. The start date for the sites varied over a several year period. The monitoring sites were located in old-growth and non old-growth coniferous forests (douglas fir, sitka spruce, alder, juniper, ponderosa pine), adjacent clear-cuts, and top of canopy locations. The following variables have been measured every 5-minutes with hourly averages/totals computed for each location: air temperature, relative humidity, rainfall, Photosynthetically Active Radiation (PAR), soil temperature (multiple depths), snow depth (where applicable) and volumetric soil moisture (multiple depths). In addition, wind speed, wind direction, shortwave radiation, and barometric pressure were measured at numerous field site locations. Data are provided as unprocessed raw observations; though some minimal "quality assurance" may have been applied to ensure that data contains "reasonable" values and does not exceed expected calibration thresholds.

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The Census Bureau's Small Area Health Insurance Estimates (SAHIE) program produces estimates of health insurance coverage for states and all counties. These data are 2009estimates of health insurance coverage by age, sex, race, Hispanic origin, and income categories at the state level and by age, sex, and income categories at the county level. The Interactive Map tool is provided for ease of access to these data

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The Atmospheric Emitted Radiance Interferometer (AERI) was used to make atmospheric temperature and moisture retrievals. AERI provides absolutely calibrated radiances which can be used for forward calculation comparisons of radiosonde and LIDAR (for CAMEX-3, the SRL) profiles and provides a reference to the airborne and ground based remote sensing instruments. Additionally, AERI radiances contain valuable temperature and water vapor information which can be used to retrieve planetary boundary layer thermodynamics.

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ASCII xyz point cloud data were produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with the U.S. Geological Survey (USGS) and National Air and Space Administration (NASA). Elevation measurements were collected over the area using the NASA Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 50 meters per second at an elevation of approximately 300 meters. The EAARL, developed by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 15 centimeters. A sampling rate of 3 kHz or higher results in an extremely dense spatial elevation data set. Over 100 kilometers of coastline can be easily surveyed within a 3 to 4 hour mission time period. When subsequent elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development. For more information on Lidar science and the Experimental Advanced Airborne Research Lidar (EAARL) system and surveys, see http://ngom.usgs.gov/dsp/overview/index.php and http://ngom.usgs.gov/dsp/tech/eaarl/index.php .

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To provide the user with a general idea of areas where final critical habitat for Mexican spotted owl (Strix occidentalis lucida) occur.

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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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The 2014 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The American Indian/Alaska Native/Native Hawaiian (AIANNH) Areas cartographic boundary file includes generalized versions of 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 files because of how they fall within the Census Bureau's geographic hierarchy.

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Selenium hazards to fish and wildlife associated with the disposal of agricultural drainage water in evaporation ponds was prominently brought to the attention of exotoxicologists by the severe episode of selenium poisoning among ducks and other waterbirds that occurred at Kesterson Reservoir in the mid1980s. in the immediate aftermath of the wildlife catastrophe al Kesterson Reservoir, natural resource managers were faced with an agricultural industry that was on the verge of creating a landscape absolutely awash with seleniferous evaporation ponds similar to Kesterson Reservoir. There was clearly an immediate need for precisely delineating the magnitude of the toxic threat already facing Pacific Flyway populations of waterbirds and for projecting the potential hazards associated with scenarios for the future. Accordingly a strong scientific basis for predictive risk assessment was uugent.ly needed.

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Section 10332 of the Affordable Care Act amends section 1874 of the Social Security Act (the Act) by adding a new subsection (e) requiring standardized extracts of Medicare claims data under prts A, B, and D to be made available to qualified entities for the evaluation of the performance of providers and suppliers. Qualified entities may use the information obtained under section 1874(e) of the Act for the purpose of evaluating the performance of providers and suppliers, and to generate public reports regarding such performance.

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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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SMH Consulting proposes to develop a web-based decision support system to assist in Rapid Assessment, Monitoring, and Management (RAMM-DSS) on a regional scale. SMH Consulting will focus on the Chesapeake Bay Watershed and collaborate with the Chesapeake Bay Program (CBP) for the RAMM-DSS development during Phase I. The RAMM-DSS will supplement operational decision support tools already in use with tailored data products routinely derived from NASA's MODIS data. Delivery of data products and information will be through a web portal where users can view, query, and download data for a specified area and time period of interest. The RAMM-DSS will support NASA missions by (i) lowering technical and logistical barriers to the use of ESE data, (ii) making ESE data easy-to-use for practitioners, and (iii) supporting educational initiatives on use of RS data in operational scenarios. The web delivery of data and information tailored to client requirements will bridge the gap between RS data providers and applicational users. Further, the educational component consisting of real-world, hands-on case studies and RS and satellite/sensor overviews, will aim to eventually close this gap altogether by making practitioners more knowledgeable and aware of the use of RS data in their daily operations.

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2014 VA Performance and Accountability Report PAR Covers

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This data set represents the extent of the Colorado Plateaus aquifers in Colorado, Wyoming, Utah, Arizona, and New Mexico.

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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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APXS, HAZCAM, MI, Moessbauer, NAVCAM, PANCAM, Rock Abrasion Tool, Rover Motion Counter, SPICE

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A study to evaluate the role of changing ocean conditions on growth and survival of juvenile salmon from the Columbia River basin as they enter the Columbia River plume and Pacific Northwest coastal habitats. Adult returns vary dramatically (over 10 fold) as a result of changing (good or bad) ocean conditions juveniles experience. Evaluating the benefit of restoration efforts in the Columbia River to restore endangered salmon populations needs to consider ocean conditions as a contributing factor to recovery. This is a large collaborative project with contributions from NWFSC, Oregon State University, and Oregon Health and Science University. The work focuses on three objectives: 1) Determining the distribution, growth, and condition of juvenile Columbia River Chinook and coho salmon in the plume and their ocean environments with associated physical and biological features, and effects on salmon survival via regular spring and summer surveys. 2) Using additional focused surveys to obtain critical pieces of information on predator impacts, specific food resources, biological condition, and means by which juvenile salmon exit the Columbia River estuary. 3) Synthesizing the early ocean ecology of juvenile Columbia River Chinook and coho salmon, test mechanisms that control salmonid growth and survival, and produce ecological indices that forecast salmonid survival. This project provides critical information on marine survival to the Columbia River salmonid management community (hydrosystem, harvest, hatchery, and habitat management) provides environmental indicators useful for forecasting salmon returns, and provides a greater understanding of ecological controls on salmon populations. This is a long-term monitoring and research project initiated in 1998. This is a long term, large multi-faceted, and multi-disciplinary data set that is obtained from spring and summer cruises in the area from Newport, OR to Tatoosh, WA. The data can be grouped into three general categories: 1) distribution, abundance, genetic stock identification, growth and condition of juvenile Columbia River Chinook & Coho salmon in the plume and their ocean environments, 2) associated physical and biological features of the ocean and Columbia River plume (e.g., temperature, salinity, zooplankton) at the time of salmon capture, 3) predator, prey, and competitor distribution and abundance during salmon capture, and 4) ecological indices that forecast salmonid survival.

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Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), sensitive biological resources, and human-use resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in the Alaska ESI maps, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other ESI maps, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii, and Puerto Rico.