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This data set contains sensitive biological resource data for sea turtles and select estuarine/freshwater reptiles for the Florida Panhandle. Vector polygons in this data set represent sea turtle and select estuarine/freshwater reptile distribution. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Florida Panhandle. ESI data characterize the marine and coastal 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. See also the REPTPT (Reptile Points) data layer, part of the larger Florida Panhandle ESI database, for additional reptile information.

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This map layer portrays the 2000 State and county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands. The map layer was created by extracting county polygon features from the individual 1:2,000,000-scale State boundary Digital Line Graph (DLG) files produced by the U.S. Geological Survey. These files were then merged into a single file. This is a revised version of the November 2004 map layer.

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Onemetersquare 1 meter x 1 meter benthic substrate at Jarvis Island, site 4P 0 22.810S, 160 00.094W, between 2 and 3 meters along a permanent transect.

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This dataset contains an ESRI Grid representing the rugosity of a 10 m bathymetric grid for selected portions of seafloor around Isla De Mona in Puerto Rico, derived from data collected in 2007. Rugosity is defined as the ratio of surface area to planar area and is used as a measure of benthic terrain complexity or "roughness". Rugosity values near 1 represent flat, smooth terrain, while higher values reflect increasing rugosity or terrain roughness. For rugosity grid interpretation, it is recommended that the grid be reclassified according to standard deviation divisions. NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in Puerto Rico from 4/14/07 to 4/24/07. Data was acquired with a hull-mounted Kongsberg Simrad EM 1002 (95 kHz) multibeam echosounder. It was processed by a NOAA contractor using CARIS HIPS software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 19 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9.x using the XYZ to raster tool. The Benthic Terrain Modeller (BTM) tool, a collection of ArcGIS terrain visualization tools developed by the Oregon State University (OSU) Department of Geosciences and the National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center, was used to calculate the rugosity of that bathymetric grid. More information on the specific algorithms used can be found in the BTM's documentation. The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

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This document addresses the ten Public Use Requirements for Morgan Brake as well as General Impressions of the review team.

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The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project (for additional information about Argo, see http://www.argo.ucsd.edu/ (last accessed May 2007)). Argo data archived by the US NODC on a weekly basis starting the second quarter of FY 2003, may include real-time and/or delayed-mode profiles of ocean temperature and salinity, as well as related conductivity and/or pressure measurements (if any), collected by Argo profiling floats.

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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 data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum entropy (MaxEnt). NOAA National Centers for Coastal Ocean Science (NCCOS) combined databases of known deep-sea coral locations provided by the NOAA Deep-Sea Coral Research and Technology Program (DSCRTP) and other contributors with environmental and oceanographic data to generate the predictive models of deep-sea coral distribution. These models are used to produce regional maps of deep-sea coral habitat. In these regions, deep-sea coral occurs on the continental shelves and slopes, at ocean depths of approximately 50 to greater than 2,000 meters. Model predictions are organized into five hierarchical categories to be able to compare the data across coral taxa and across regions. The categories correspond to the predicted likelihood of suitable deep sea coral habitat occurring. Order: Alcyonacea, Suborder: Holaxonia, Family: Plexauridae, Genus: Paramuriceidae

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The Scanning Raman Lidar (Light Detection and Ranging) dataset collected data during the CAMEX-3 campaign on Andros Island during the period 6 August - 20 September 1998 The SRL instrument is designed to determine the composition and vertical distribution of several atmospheric constituents, specifically water vapor and aerosols.

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The USGS Map Indices service from The National Map (TNM) consists of 1x1 Degree, 30x60 Minute (100K), 15 Minute (63K), 7.5 Minute (24K), and 3.75 Minute grid polygons used in The National Map viewer for reference and to download data. At 1:24,000-scale (24K), the standard map size is 7.5 minutes of latitude by 7.5 minutes of longitude. At 1:100,000-scale (100K), the standard map size is 30 minutes of latitude by 60 minutes of longitude. The National Map viewer allows free download of public domain USGS map indices data in Esri File Geodatabase format.

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This data set contains vector polygons representing the boundaries of all hardcopy cartographic products and digital data extents produced as part of the Environmental Sensitivity Index (ESI) for Southern California. This data set comprises a portion of the ESI data for Southern California. ESI data characterize the marine and coastal 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.

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This map layer includes Global Map data showing Amtrak intercity railroad terminals in the United States. The data are a modified version of the National Atlas of the United States data set of railroad and bus passenger stations of the United States; those source data are a subset of data available from the Research and Innovative Technology Administration, Bureau of Transportation Statistics (RITA/BTS). There are no Amtrak stations in Alaska or Hawaii.

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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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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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The Refuge staff developed this Hunting Plan to guide hunting on the Refuge and fulfill the purposes for which the Refuge was established. This plan provides guidelines for the administration of hunting activity and for the development, maintenance, and enforcement of regulations and guidelines on Big Muddy National Fish and Wildlife Refuge. It specifically addresses the areas of information, access, use patterns, regulations, area restrictions, permits, and enforcement. Target species include; whitetailed deer, waterfowl, turkey, upland game, and furbearers.

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Contains the mixing ratio and concentration of Non-Methane HydroCarbons (NMHC) taken by the TGB-09 group.

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Energy, cargon dioxide, and momentum flux data collected above the canopy along with meteorological and soils data at the BOREAS SSA-OA site

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This data set contains data associated with MODIS fire maps generated using two different algorithms and compared against fire maps produced by ASTER. These data relate to a paper (Morisette et al., 2005) that describes the use of high spatial resolution ASTER data to evaluate the characteristics of two fire detection algorithms, both applied to MODIS-Terra data and both operationally producing publicly available fire locations. The two algorithms are NASA's operational Earth Observing System MODIS fire detection product and Brazil's National Institute for Space Research (INPE) algorithm. These data are the ASCII files used in the logistic regression and error matrices presented in the paper.

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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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Shore-based belt transects were conducted at 8-13 m depths at 3 longshore sites on the leeward coast (North and South Kohala districts) of the Big Island (Hawaii Island) in the MHI during spring 2005. From 8-10 randomly positioned transects were surveyed at each site; each transect was 25-m long x 2-m wide (50 m**2 area). Raw survey data consist of species-specific and size-specific (total length, TL, in cm) numerical counts of recruit (>5 cm total length, TL) and larger (5-10 cm TL) juvenile reef fishes encountered within transect boundaries. Habitat quadrats were surveyed at 8-13 m depths using shore-based transects swum at 3 longshore sites on the leeward coast (North and South Kohala districts) of the Big Island (Hawaii Island, in the MHI) during spring 2005. Substratum percent cover and rugosity were characterized within multiple quadrats at each site. A total 90 "Reference" ('REF') quadrats (whose positions were randomly selected) and a total 89 "Target" ('TAR') quadrats (positions centered on sightings of recruit fishes), each of 1-m2** area, were surveyed at the 3 Sites. In each quadrat, the percentage cover of each of seven (7) major substratum types were estimated, as was a "Rugosity Index". The study was published in a peer-reviewed marine science journal in August 2007. The full citation is: DeMartini EE, Anderson TW (2007) Habitat associations and aggregation of recruit fishes on Hawaiian coral reefs. Bulletin of Marine Science 81(1):139-152.