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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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All the data contributed come from 1957 through 1990. They have been digitized, reformatted, converted to universal time (the software also can display the data in local meridian time), and passed through quality control filters.

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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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To support a long-term NOAA Coral Reef Conservation Program (CRCP) for sustainable management and conservation of coral reef ecosystems, from 20120227 to 20120325, reef fish assessment surveys were conducted, as a part of Rapid Ecological Assessments (REA), during the Pacific Reef Assessment and Monitoring Program (RAMP) Cruise HA1201 in the Pacific Remote Island Areas region by the Coral Reef Ecosystem Division (CRED) at the NOAA Pacific Islands Fisheries Science Center (PIFSC). During the cruise, 39 REA sites were surveyed at Howland in the Pacific Remote Island Areas region. At each REA site, fish biologists entered the water and conducted a fine-scale (~700 m^2) and high degree of taxonomic resolution REA survey to assess and monitor species diversity, size distribution, and abundance of fish in shallow-water hard-bottom (less than 30 m) habitats. Reef fish assessment surveys were focused on cataloging the diversity (species richness), abundance (numeric density) and biomass (fish mass per unit area) of diurnally active reef fish assemblages. The stationary point count (SPC) method was used to quantify reef fish species. Two divers lay out a 30 m transect line, and position themselves at the 7.5 and 22.5 meter marks. The SPC biologist then records estimated size and abundance of all fish within a visually estimated 15-m diameter cylinder centered on the stationary diver (7.5-m radius, total area ~ 177m^2 per cylinder). The diver first spends 5 minutes identifying all fish species in the cylindrical area, then proceeds to count and estimate size (total length) for each in a series of "instantaneous" point counts or sweeps of the cylinder. Fish were identified at the species level, wherever possible. All reef-associated fish, including those in the water column, were surveyed. The survey time for each stationary point count survey was approximately 20 min and generally four stationary point count surveys (two per diver) were conducted at each fish REA site. After completing REA surveys, divers noted the presence, at the survey site, of any unusual fish species not counted during SPC counts, in order to facilitate species lists per location.

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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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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 20091104 - 20091104. The images were acquired with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution than the final ortho-rectified mosaic.

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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 data set contains sensitive biological resource data for submerged aquatic vegetation (SAV), floating aquatic vegetation (FAV), and rare/sensitive coastal plants for the Hudson River. Vector polygons in this data set represent eelgrass and rare coastal plant 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 Environmental Sensitivity Index (ESI) data for the Hudson River. 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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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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Oc0_MASS is a polygon shapefile representing 5 minute x 5 minute latitude x longitude cells that house the overall total biomass densities (kg/sq km) of 76 species of marine birds in the Oceanic season (August 15 - November14, 1980-2001). Density for each of 76 marine bird species was multiplied by average body mass for that species, and these products summed for all species in a cell, to obtain total biomass density. Cells that were surveyed but in which no birds were observed have total biomass densities of zero.

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NODC accession 0098578 includes physical and underway data collected aboard the MELVILLE during cruise MGLN31MV in the Philippine Sea, South China Sea (Nan Hai) and Sulu Sea from 2008-01-09 to 2008-02-01. These data include CURRENT SPEED - EAST/WEST COMPONENT (U) and CURRENT SPEED - NORTH/SOUTH COMPONENT (V). The instruments used to collect these data include ADCP and GPS. These data were collected by Arnold Gordon of Columbia University; Lamont-Doherty Earth Observatory, and by SCRIPPS INSTITUTION OF OCEANOGRAPHY as part of Office of Naval Research (ONR) / Philippines Straits Dynamics Experiment (PhilEx). The Lamont-Doherty Earth Observatory (LDEO) submitted these data to NODC as part of the NSF sponsored Rolling Deck to Repository (R2R) program. The ADCP data represent the raw and automated processed data set. Post processed quality assessed data are not available in this accession.

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Library Catalog may include: Data Management Plans, Cruise Plans, Cruise Summary Reports, Scientific "Quick Look Reports", Video Annotation Logs, Image Collections, Highlight Images, Video Collections, Highlight Video Clips, Dive Plans, Dive Summary Reports, Maps, Essays, News Articles, Presentations, Education Lesson Plans, Biographies, Web Logs/Summaries.

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XBT data were collected from the USCGC EVERGREEN in support of the Integrated Global Ocean Services System (IGOSS) project. Data were collected by the US Coast Guard (USCG) from 06 June 1978 to 25 June 1978. Data were processed by NODC to the NODC standard Universal Bathythermograph Output (UBT) format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/bt.html. The UBT file format is used for temperature-depth profile data obtained using expendable bathythermograph (XBT) instruments. Standard XBTs can obtain profiles at depths of about 450 or 760 m. With special instruments, measurements can be obtained to 1830 m. Cruise information, position, date, and time are reported for each observation. The data record comprises pairs of temperature-depth values. Unlike the MBT data file, in which temperature values are recorded at uniform 5m intervals, the XBT Data File contains temperature values at non-uniform depths. These depths are at a minimum number of points ("inflection points") required to record the temperature curve to an acceptable degree of accuracy. On output, however, the user may request temperature values either at inflection points or interpolated to uniform depth increments.

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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.

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These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (SLR) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.coast.noaa.gov/slr This metadata record describes the Honolulu Weather Forecast Office (HFO WFO) digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. The DEMs created for this project were developed using the NOAA National Weather Service's Weather Forecast Office (WFO) boundaries. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications for the Honolulu WFO, which includes the following islands in Hawaii: Kauai, Oahu, Molokai, Maui, Lanai, and Hawaii. The DEM is derived from multiple sources. 1. 2006 Hawaii FEMA Lidar - acquired by FEMA along south shores of islands 2. 2007 USACE Pacific Islands Lidar: Hawaiian Islands - acquired by USACE and Hawaii State Civil Defense along north and windward facing shores of islands Hydrographic breaklines were delineated from LiDAR intensity imagery generated from the LiDAR datasets. The final DEM is hydro flattened such that water elevations are less than or equal to -0.5 meters. The DEM is referenced vertically to the Local Mean Sea Level (LMSL) tidal datum with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is 3 meters.

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This project is a cooperative effort among the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment; the University of Hawaii; and Analytical Laboratories of Hawaii, LLC. The goal of the work was to develop coral reef mapping methods and compare benthic habitat maps generated by photointerpreting georeferenced color aerial photography, hyperspectral and IKONOS satellite imagery. The enhanced spectral resolution of hyperspectral and control of bandwidths of multispectral data yield an advantage over color aerial photography particularly when coral health and time series analysis of coral reef community structure are of interest. Depending on the type of instrument, a spectral imaging system can be utilized to see multiple colors from ultraviolet through the far infrared range. The AURORA hyperspectral imaging system collected 72 ten nm bands in the visible and near infrared spectral range with a 3 meter pixel resolution. The data was processed to select band widths, which optimized feature detection in shallow and deep water. Photointerpreters can accurately and reliably delineate boundaries of features in the imagery as they appear on the computer monitor using a software interface such as the Habitat Digitizer.

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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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NODC accession 0098571 includes physical and underway data collected aboard the MELVILLE during cruise MGLN22MV in the Philippine Sea and South China Sea (Nan Hai) from 2007-07-09 to 2007-07-15. These data include CURRENT SPEED - EAST/WEST COMPONENT (U) and CURRENT SPEED - NORTH/SOUTH COMPONENT (V). The instruments used to collect these data include ADCP and GPS. These data were collected by Steven Ramp of US NAVY; NAVAL POSTGRADUATE SCHOOL, and by SCRIPPS INSTITUTION OF OCEANOGRAPHY as part of Generation and propagation of the internal tide and high-frequency nonlinear internal waves near the Luzon Strait. The Lamont-Doherty Earth Observatory (LDEO) submitted these data to NODC as part of the NSF sponsored Rolling Deck to Repository (R2R) program. The ADCP data represent the raw and automated processed data set. Post processed quality assessed data are not available in this accession.

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Median seasonal turbidity imagery - Each image represents one three month Season