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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 Guards 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.

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Zooplankton data were collected using zooplankton net casts in the TOGA Area of Pacific Ocean from THOMAS G. THOMPSON. Data were collected from 30 January 1992 to 21 October 1992 by University of Maryland; Horn Point Laboratory with support from the Joint Global Ocean Flux Study / Equatorial Pacific Basin Study project.

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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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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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This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 1 full Quickbird multispectral scene upto 4 additional scenes were used to replace cloud obscured areas within the base imagery both scenes were processed to detect C-CAP land cover features on Tinian, CNMI.

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Gridded (20 m cell size) bathymetry of the banktop and slope environments of Northeast Bank (sometimes called "Muli" Seamount), American Samoa, South Pacific. Almost complete bottom coverage was achieved in depths between 48 and 1822 meters. The bathymetry dataset includes Simrad EM300 and EM3002D data collected during Feb. to March of 2006.

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This dataset contains an ESRI Grid representing the slope (in degrees) of the bathymetry of an offshore portion of the NPS's Virgin Islands Coral Reef National Monument, south of St. John, US Virgin Islands, based on a 10m bathymetric grid.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 the US Virgin Islands from 2/1/05 to 2/12/05. Data was acquired with a pole-mounted Reson 8101 ER multibeam echosounder (240 kHz) and processed by a NOAA contractor using CARIS HIPS v5.4 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 20 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 as an XY event. Then the ArcToolbox conversion tool 'Feature to Raster' was used to generate an ESRI Grid of bathymetry. Finally, the Slope calculator within ArcGIS Spatial Analyst/Surface Analysis was used to calculate slope in degrees, using that ESRI Grid of source bathymetry.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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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 0133628 includes physical and underway data collected aboard the ROGER REVELLE during cruise RR1312 in the Coral Sea and South Pacific Ocean from 2013-08-30 to 2013-09-08. 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 Gregory Mountain of Rutgers, the State University of New Jersey, and by University of California - San Diego; Scripps Institution of Oceanography as part of Paleoceanographic Records of Western Pacific Warm Pool Variability. 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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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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Data from Coral Reef Ecosystem Division (CRED), NOAA Pacific Islands Fisheries Science Center (PIFSC) Subsurface Temperature Recorders (STR) provide a time series of water temperature at coral reef sites. Data is typically collected at 1800 second intervals for a duration of 2 years using a SBE39 Temperature Recorder (Sea-Bird Electronics, Inc., www.seabird.com). When a STR is recovered, a new one is typically deployed in the same place. Time series data combining multiple deployments from a given site may also be available. Please contact CRED with any questions. For program information see the web site http://www.pifsc.noaa.gov/cred/oceanography.php

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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: Calcaxonia, Family: Ellisellidae

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