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This Comprehensive Conservation Plan CCP was written to guide management on Sevilleta NWR for the next 15 years. This plan outlines the Refuge vision and purpose and describes how Sevilleta NWR will contribute to the overall mission of the Refuge System. The plan provides an introduction to the Refuge, an overview of the CCP process, information about the ecosystem and environment, current management programs, legal policies, and strategies for implementation. Key planning issues include: wildlife management, habitat management, research, public use, land protection, cultural resources, water rights, and threatened and endangered species.

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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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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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This feed provides new health and safety updates related to FDA approved products

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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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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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Description

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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The AgSat Imagery Collection Footprints map shows the imagery footprints which have been collected under the USDA satellite blanket purchase agreement. Click on a polygon inside the map to display an informational pop up window which provides information about each imagery collection.

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Disability claim information associated with a client filing for disability.

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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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The US Environmental Protection Agency's (EPA) National Health and Environmental Effects Research Laboratory (NHEERL) in the Environmental Public Health Division (EPHD) is currently engaged in research aimed at developing a measure that estimates overall environmental quality at the county level for the United States. This work is being conducted as an effort to learn more about how various environmental factors simultaneously contribute to health disparities in low-income and minority populations, and to better estimate the total environmental and social context to which humans are exposed. This dataset contains the finalized Environmental Quality Index (EQI), and an index for each of the associated domains (air, water, land, built environment, and sociodemographic environment). Indices are at the county level for all counties in the United States.

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APXS, HAZCAM, MI, NAVCAM, PANCAM, Rover Motion Counter, SPICE

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The water-budget-components geodatabase contains selected data from maps in the,"Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 through 1949 and 2000 through 2009" report (Stanton and others, 2011). Data were collected and synthesized from existing climate models including the Parameter-Elevation Regressions on Independent Slopes Model (PRISM) (Daly and others, 1994), and the Snow accumulation and ablation model (SNOW-17) (Anderson, 2006), and used in soil-water balance models to compute various components of a water budget. The methodologies used to compute the averages and volumes for the data in this geodatabase are slightly different for different components and models.

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This data set is one component of a digital terrain model (DTM) for the SWFWMD Polk District. This record includes information about the LiDAR data for the following SWFWMD tracts: Hampton, Judy, Lake Wales, Peace River (North) and Polk Remainder. All of these tracts are located in Polk County. Please see the Bounding Coordinates for each tract for the location within Polk County. Information that is specific to each tract has been maintained. HAMPTON TRACT This data set is one component of a digital terrain model (DTM) for Hampton Tract, Polk County, Florida encompassing approximately 43 square miles. This dataset is comprised of 48 LiDAR files, based on the DISTRICT 5,000' by 5,000' sheet index system (17951-17958, 18114-18121, 18363-18370, 18526-18533, 18259-18266 and 18594-18601) in the LAS file format. The raw data was collected at an average ground sample distance of 1-meter. Other components of the DTM include: 3-D breaklines along hydrographic features in the Shape file format; lake/pond polygons (in 3D) in the shape file format; obscured area polygons (in 2D) in the Shape file format; and hard/soft breaklines (in 3D) in the Shape file format. Date of Collection: 20060125 Bounding Coordinates of tract: West Bounding Coordinate: -82.035984 East Bounding Coordinate: -81.903345 North Bounding Coordinate: 28.328847 South Bounding Coordinate: 28.238391 JUDY TRACT This data set is one component of a digital terrain model (DTM) for Judy Tract, Polk County, Florida encompassing approximately 12.6 square miles. This dataset is comprised of 14 LiDAR files, based on the DISTRICT 5,000' by 5,000' sheet index system (17632-17636, 17795-17799, and 17959-17962) in the LAS file format. The raw data was collected at an average ground sample distance of 1-meter. Other components of the DTM include a personal geodatabase containing: obscured vegetation polygons; road overpass polygons; road breaklines; soft feature breaklines; water body polygons; coastal shorelines; 1-foot contours; hydrographic feature breaklines, and island polygons in accordance with the SWFWMD 2006 Topographic Database Design. Date of Collection: 20060125 Bounding Coordinates of tract: West Bounding Coordinate: -81.925929 East Bounding Coordinate: -81.848175 North Bounding Coordinate: 28.350110 South Bounding Coordinate: 28.308789 LAKE WALES This data set is one component of a digital terrain model (DTM) for Lake Wales, Polk County, Florida encompassing approximately 10.75 square miles. This dataset is comprised of 12 LiDAR files, based on the DISTRICT 5,000' by 5,000' sheet index system (22365-22367, 22528-22530, 22691-22693 and 22854-22856) in the LAS file format. The raw data was collected at an average ground sample distance of 1-meter. Other components of the DTM include: 3-D breaklines along hydrographic features in the Shape file format; lake/pond polygons (in 3D) in the shape file format; obscured area polygons (in 2D) in the Shape file format; and hard/soft breaklines (in 3D) in the Shape file format. Date of Collection: 20060125 Bounding Coordinates of tract: West Bounding Coordinate: -81.543294 East Bounding Coordinate: -81.509932 North Bounding Coordinate: 27.916603 South Bounding Coordinate: 27.868213 PEACE RIVER (NORTH) This data set is one component of a digital terrain model (DTM) for Peace River North (P692), Polk County, Florida encompassing approximately 1,149 square miles. This dataset is comprised of 1,281 LiDAR files, based on the DISTRICT 5,000' by 5,000' sheet index system in the LAS file format. The raw data was collected at an average ground sample distance of 1-meter. Other components of the DTM include: 3-D breaklines along hydrographic features in the Shape file format; lake/pond polygons (in 3D) in the shape file format; obscured area polygons (in 2D) in the Shape file format; and hard/soft breaklines (in 3D) in the Shape file format. Date of Collection: 20060227 Bounding Coordinates of tract: West Bounding Coordinate: -82.035984 East Bounding Coordinate: -81.903345 North Bounding Coordinate: 28.328847 South Bounding Coordinate: 28.238391 POLK DISTRICT REMAINDER This dataset is one component of a digital terrain model (DTM) for the Southwest Florida Water Management District's FY2007 Remainder Polk District LiDAR Mapping Project and Polk District Contours Project (L672) encompassing approximately 428 square miles in Polk County, Florida. This dataset is comprised of 478 LiDAR files, based on the FL Statewide 5,000' by 5,000' sheet index system in the LAS version 1.1 file format. LiDAR acquisition dates were January 27, January 30 through February 20, 2005. The raw data was collected at an average ground sample distance of 2.1 feet. Other components of the DTM include a personal geodatabase in accordance with the SWFWMD 2006 Topographic Database Design containing: obscured vegetation polygons; road overpass polygons; road breaklines; soft feature breaklines; water body polygons; coastal shorelines; hydrographic features breaklines; island polygons; and 1-foot contours. Final products include FEMA-compliant LIDAR-derived DTM data and 1-foot contours (for cartographic visualization purposes only) meeting or exceeding National Map Accuracy Standards for 2-foot contours. This area is not a tract, but an addition of areas to the Polk District data set. This data set consists of three areas within Polk County. The approximate bounding coordinates for each area are given below. Area 3 borders the east and north sides of the Peace River (North) and Judy Tract data sets. The bounding coordinates for Area 3 are generalized here, but it is actually a multi-sided polygon with many vertices. Date of Collection: 20050127, 20050130-20050220 Bounding Coordinates of Area 1: Area 2 Area 3 West Bounding Coordinate: -82.104809 -81.958339 -81.934587 East Bounding Coordinate: -82.033554 -81.918752 -81.380374 North Bounding Coordinate: 28.314262 28.349889 28.397394 South Bounding Coordinate: 28.171749 28.322179 27.625454

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File of pending & closed development items.

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Listing of the U.S. Office of Personnel Management's data with access levels public and restricted public

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This digital dataset contains the monthly precipitation for 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 U.S. Geological Survey (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 on a finite-difference grid comprising 441 rows and 98 columns. Slightly less than 50 percent of the cells are active. The CVHM model grid has a uniform horizontal discretization of 1x1 square mile and is oriented parallel to the valley axis, 34 degrees west of north (Faunt, 2009). The main climatic contributors to the CVHM are reference evapotranspiration (ETo) and precipitation. Parameter-Elevation Regressions on Independent Slopes Model (PRISM) data (Climate Source, 2006) provide the temperature and precipitation on a monthly basis for a 2-kilometer grid. The precipitation data were interpolated from the prism grid onto the CVHM one-square-mile grid. The CVHM is the most recent regional-scale model of the Central Valley developed by the 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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Surface water and sediment contamination of the Loxahatchee National Wildlife Refuge Refuge is a management concern given the proximity of both agriculture and urban development to the Refuge. This study was undertaken to determine baseline data for contaminants present in, and entering into, the Cypress Swamp Swamp of the Refuge. The Swamp is a Refuge area outside Water Conservation Area 1 and its bordering perimeter canal. The Swamp directly receives surface water inflow from adjacent agricultural areas. Water and sediment samples were collected from eight locations during the threeyear study 20012004. Surface water grab samples were collected quarterly for determination of pesticide and metal concentrations. Water samples were collected monthly for determination of phosphorous and chloride concentrations. Composite sediment samples were collected annually for determination of pesticide, metal, and PCB contamination. Metal and pesticide concentrations were compared to the state of Floridas surface water quality criteria and sediment quality assessment guideline SQAG values for potential contaminant risks to the Refuges ecosystem resources. Several metals beryllium, copper, iron, mercury, lead, selenium were detected at least once in surface waters at a concentration that exceeded their respective surface water quality criteria. The most commonly detected metal, and the one most likely to lead to aquatic system impacts, was copper. While several pesticides were detected in the surface water, few criteria values exist for pesticides and none existed for those detected in this study. Barium, chromium, copper, mercury, and lead were detected in sediments at concentrations exceeding SQAG values for effects to benthic invertebrates. Copper was detected at a concentration as high as 481 mgkg dw, which exceeded the probable effects concentration and may lead to aquatic system impacts. Average concentrations were considerably less but still exceeded the threshold effects concentration. Most of the organic contaminants detected in sediments were the banned persistent pollutants, DDE and chlordane. Food chain modeling to predict risks to the aquatic community and piscivorous birds from DDE and chlordane predicted adverse effects only for the aquatic community. Total phosphorous concentrations ranged from 55 to 4,469 gL while orthophosphate concentrations ranged from 32 to 3,970 gL. Total chloride concentrations ranged from 13 to 118 mgL. The high phosphorous and copper concentrations along the eastern side of the Swamp, along with detections of current use pesticides in Swamp water, indicate the Swamp was being impacted by inflow of waters from adjacent agricultural areas.

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The focus of this study, prepared for The Nature Conservancy, is on the economic feasibility and issues related to implementing water supply option contracts to provide the Lahontan Valley Wetlands with supplemental or temporary water as needed, assuming proposed management strategies and conditions. Specifically, this report: 1 addresses economic, hydrologic and legal issues and information required to analyze and establish water right option contracts; 2 develops estimates of the variables required to evaluate option contract feasibility; 3 conducts an evaluation of the economic feasibility and financial requirements of option contracts under proposed conditions and water delivery strategies; 4 explores the economic benefitscosts of option contracts under alternative management and market condition scenarios; and 5 suggests possible modifications in existing water management proposals and institutions that could reduce program impacts and improve the costeffectiveness of the overall water right acquisition program.

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Longitudinal information from an evaluation where children were randomly assigned to Early Head Start or community services as usual;direct assessments and observations of children as well as parent and staff interviews were conducted

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This data set comprises the Environmental Sensitivity Index (ESI) data for Prince William Sound, Alaska. ESI data characterize estuarine environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. This data set contains sensitive biological resource point data for marine mammals.

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This dataset contains the number of inpatient discharges, discharge days, and average length of stay for each California hospital, 2009 - 2014.

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Abstract:The Landsat 8 OLI/TIRS Pre-WRS-2 data set contains nearly 10,000 scenes acquired by the Operational Land Imager (OLI) and/or Thermal Infrared Sensor (TIRS) sensors after launch (February 11, 2013) through April 10, 2013, when the satellite achieved operational orbit (WRS-2). The earliest images are TIRS data only. While these data meet the quality standards and have the same geometric precision as data acquired on April 11, 2013 and beyond, the geographic extents of each scene will differ. Most data will be processed to an L1T (as other standard products), and the pixel size will be 30 meters. There may be some differences in the early TIRS images due to telescope temperature changes, although they should be within +/- 1 percent. The data acquired during the Landsat 7/Landsat 8 underfly on March 29 - 30, 2013 are also available.

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In May 2014, staff at the San Bernardino National Wildlife Refuge SBNWR requested the production of a vegetation map to document the ongoing restoration of the refuge. Utilizing objectbased image analysis OBIA a 9 class vegetation map was produced. This was a piloted effort to develop a simple, repeatable and lowcost land cover mapping framework that could be carried out on other refuges. Thus, iterative steps were taken and refined as part of the mapping process. This document has a Digital Object Identifier: http:dx.doi.org10.7944W3WC7M

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Studies were conducted by the Fish and Wildlife Service between 1985 and 1988 to obtain baseline trace element and water quality data on water, sediments, and fish in rivers of the Nowitna National Wildlife Refuge and to assess the impacts of upstream placer mining activities. One river examined, the Sulatna River, had active placer mining on its tributaries. In addition, California Creek, a tributary to the Titna River, experienced upstream placer mining from 1979 1986. In the early 1900s, Our Creek, and the Susulatna River, tributaries to the upper Nowitna River, were mined, as was an unnamed tributary to the Sulukna River. The Sulatna River experienced significantly higher turbidity, iron, and manganese concentrations than sites on the upper, middle, or lower Nowitna River, the Sulukna River, or California Creek. The Tima River, only sampled in 1985, also had extremely high iron concentrations in the water. In other respects, the water quality of all sites was similar. Copper appears to be slightly elevated in water from all sites as a result of natural conditions, but meets water quality standards. However, concentrations were in the range of potential effects on young arctic grayling and other sensitive species. No significant differences were found between sites in sediment trace element concentrations, except for mercury. Mercury concentrations were higher in Sulama River sediments than at other sites, but occurred at elevated concentrations at all sample sites except California Creek. Fish tissue concentrations of mercury were highest in northern pike from the unmined Sulukna River. Concentrations in all five northern pike collected in 1987 exceeded the Food and Drug Administration FDA action level of 1 mgkg wet weight. Northern pike from the mouth of the Nowima River also contained elevated mercury concentrations, but concentrations did not exceed the FDA limit. Shellfish and arctic grayling were generally low in mercury concentration in comparison to the northern pike. The source of mercury in the Nowima Refuge fish is uncertain, but is most likely derived from natural sources, rather than placer mining activity. Mercury, used historically to amalgamate gold and discharged to waters, is another potential, but less likely, source. Mercury concentrations in northern pike were not correlated with fish length, weight, or condition index, suggesting that mercury concentrations did not affect fish health. The only negative statistical correlations found between northern pike measurements and metal concentrations were between liver copper, weight, and total length. Due to small sample sizes involved in this study, few conclusions should be drawn regarding the relationship of metal concentrations in fish and fish health at this time. The paucity of northern pike from the mined Sulama River also precludes conclusions regarding the effect of mining on fish tissue concentrations. Other species were collected in too few numbers to conduct betweensite comparisons. Additional studies are recommended to identify source areas of mercury, and to better define tissue concentrations in potentially affected biota.