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Popis

Oceanographic station data were collected from the WINNEBAGO within a 1-mile radius of Ocean Weather Station V (3400N 16400E) and in transit. Data were collected by the United States Coast Guard (USCG) from 25 October 1969 to 07 December 1969. Data were processed by NODC to the NODC standard Station Data II Output Format (SD2). Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/sd2.html. The SD2 format contains physical-chemical oceanographic data recorded at discrete depth levels. Most of the observations were made using multi-bottle Nansen casts or other types of water samplers. A small amount (about 5 percent) were obtained using electronic CTD (conductivity-temperature-depth) or STD (salinity-temperature-depth) recorders. The CTD/STD data were reported to NODC at depth levels equivalent to Nansen cast data, however, and have been processed and stored the same as the Nansen data. Cruise information (e.g., ship, country, institution), position, date, and time, and reported for each station. The principal measured parameters and temperature and salinity , but dissolved oxygen, phosphate, total phosphorus, silicate, nitrate, nitrite, and pH may be reported. Meteorological conditions at the time of the cast (e.g., air temperature and pressure, wind, waves) may also be reported, as well as auxiliary data such as water color (Forel-Ule scale), water transparency (Secchi disk depth), and depth to bottom. Values of density (sigma-t) sound velocity, and dynamic depth anomaly are computed from measured parameters. Each station contains the measurements taken at the observed depth levels, but also includes data values interpolated to a set of standard depth levels.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

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Light Detection and Ranging (LiDAR) is a method of locating objects on the ground using aerial-borne equipment. It is similar to RADAR or SONAR in that the two-way travel time of an energy beam reflected off an object is precisely measured, but this technology uses laser light instead of radio or sound waves. This technology has proven very useful in remote sensing of the earth. It can be used for determining elevations of both the earth's surface and items (natural and man-made) on the surface. Analysis of LiDAR data is used in detailed modeling of the earth's surface for drainage and floodplain studies, determining how a new structure will affect views from various locations, shoreline erosion studies, and other reasons. The bare earth mass points data show the calculated elevation of the earth's surface (the ground, without objects such as trees or buildings). Mass points may appear to have "holes" with no elevation values in areas where the surface could not be determined, such as very dense forests or urban areas.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

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Oceanographic station data were collected within a 1-mile radius of Ocean Weather Station A (6200N 03300W) and in transit. Data were collected by the University of Bergen; Geophysics Institute from 02 January 1963 to 13 April 1963. Data were processed by NODC to the NODC standard Station Data II Output Format (SD2). Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/sd2.html. The SD2 format contains physical-chemical oceanographic data recorded at discrete depth levels. Most of the observations were made using multi-bottle Nansen casts or other types of water samplers. A small amount (about 5 percent) were obtained using electronic CTD (conductivity-temperature-depth) or STD (salinity-temperature-depth) recorders. The CTD/STD data were reported to NODC at depth levels equivalent to Nansen cast data, however, and have been processed and stored the same as the Nansen data. Cruise information (e.g., ship, country, institution), position, date, and time, and reported for each station. The principal measured parameters and temperature and salinity , but dissolved oxygen, phosphate, total phosphorus, silicate, nitrate, nitrite, and pH may be reported. Meteorological conditions at the time of the cast (e.g., air temperature and pressure, wind, waves) may also be reported, as well as auxiliary data such as water color (Forel-Ule scale), water transparency (Secchi disk depth), and depth to bottom. Values of density (sigma-t) sound velocity, and dynamic depth anomaly are computed from measured parameters. Each station contains the measurements taken at the observed depth levels, but also includes data values interpolated to a set of standard depth levels.



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Popis

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/


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

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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: Pennatulacea


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

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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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Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

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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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Zooplankton and other data were collected from the NATHANIEL B. PALMER in the Antarctic Ocean (> 60 degrees South) from 28 October 1997 to 03 February 1998. Data were collected in suport of Joint Global Ocean Flux Study (JGOFS) / Southern Ocean and the US JGOFS Antarctic Environments Southern Ocean Process Study (AESOPS) projects. Zooplankton were collected using a Multiple Opening losing Net and Environmental Sampling System (MOCNESS) and were identified to the species level.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

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Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

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This data set contains sensitive human-use data for aquaculture sites, Designated Critical Habitats, management areas, Nature Conservancy properties, parks, and National Wildlife Refuges for the Upper Coast of Texas. Vector polygons in this data set represent management areas. Location specific type 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 the Upper Coast of Texas. 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 SOCECON (Socioeconomic Resource Points and Lines) data layer, part of the larger Upper Coast of Texas ESI database, for additional human-use information.


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This dataset contains a space-delimited ASCII XYZ text file with easting, northing, and depth in meters values for the bathymetry of La Parguera, P.R. and St. Croix, St. Thomas, and St. John in the US Virgin Islands. XYZ values are derived from a 10 m resolution gridding process. 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 2/18/04 to 3/5/04, 2/1/05 to 2/12/05 and 3/21/06 to 4/2/06. Data was acquired with a pole-mounted Reson 8101 ER multibeam echosounder (240 kHz) in 2004 and 2005, and with a hull-mounted Kongsberg Simrad EM 1002 multibeam echosounder (95 kHz) in 2006. 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 20 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle, and was exported as an ASCII XYZ file. 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 dataset has monthly Evaporation Minus Precipitation data from the TAO/TRITON (Pacific Ocean, http://www.pmel.noaa.gov/tao/), RAMA (Indian Ocean, http://www.pmel.noaa.gov/tao/rama/), and PIRATA (Atlantic Ocean, http://www.pmel.noaa.gov/pirata/) arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system. These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems. Monthly data is an average of daily values collected during a month. A minimum of 15 daily values are required to compute a monthly average. This dataset contains realtime and delayed mode data (see the 'source' variable). For more information, see http://www.pmel.noaa.gov/tao/proj_over/proj_over.html .



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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 January 2005)). 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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This data set is an ArcView shapefile set that contains locations of sampled coral reef fish species at the National Marine Sanctuary along the Florida Keys. The dataset contains information about 5 classes of coral reefs, 216 fish species, and 6 benthic habitat. The data were collected from 1983.


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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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Post-cruise download of raw data from shipboard computer(s) as furnished by the Woods Hole Oceanographic Institution Shipboard Scientific Support Group and archived by the Marine Biological Laboratory Woods Hole Oceanographic Institution Library for the R/V Atlantis - Cruise 007 Leg 06. These data are part of a collection of ocean observation data from Woods Hole Oceanographic Institution ships OCEANUS (call sign WXAQ; built 1975.00; IMO 7603617), KNORR (call sign KCEJ; built 1970.00; IMO 7738618), and the ATLANTIS (call sign KAQP; built 1997.03; IMO 9105798). The data sets are the downloads of the shipboard computers after an individual cruise. As such, they contain basic raw and processed physical and meteorological data from the cruise. A data set may include XBT, CTD, and XCTD profiles, underway thermosalinograph and atmospheric measurements, gravity and magnetic field measurements, current measurements from ADCP, and still photographs from the Alvin submersible (Atlantis cruises only). Other data types (ROV, nutrients measured from bottle samples, etc.) and photographs documenting the cruise may be included.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

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Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

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A complete set of water column profile data and CTD Summary Report (if generated) generated by the Okeanos Explorer during EX1504L1: CAPSTONE NWHI & Johnston Exploration Mapping between 20150710 and 20150724


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These data represent a cost-earnings study of the Hawaii small boat fishery in 1995-1996. Data collected include fisher classification, vessel characteristics, levels of investment, trip-level expenditures, fishing behavior, market participation, social aspects of the fishery, and demographics.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

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