Continuous Plankton Recorder data using a plankton net in the North Atlantic Ocean from 01 January 1995 to 21 December 1999 (NODC Accession 0000301)
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 lidar point data (Geodetic Coordinates) from a strip of Southern California coastline (including water, beach, cliffs, and top of cliffs) from Dana Point to Point La Jolla. The data set was created by combining data collected using an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 in combination with geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. The Bureau of Economic Geology, the University of Texas at Austin owns and operates an ALTM 1225 system (serial number 99d118). The system was installed in a twin engine Partenavia P-68 (tail number N6602L) owned and operated by Aspen Helicopter, Inc. The lidar data set described by this document was collected on 28-29 March 2003; Julian Days 08703 and 08803 (see Lineage, Source_Information, Source_Contribution for pass information). Conditions on both days were clear skies, no fog or low clouds. 99d118 instrument settings for these flights were; laser pulse rate: 25kHz, scanner rate: 26Hz, scan angle: +/- 15-20deg, beam divergence: narrow, altitude: 900-1160m AGL, and ground speed: 90-132kts. Two GPS base stations (Scripps pier and Dana Point, see Lineage, Source_Information, Source_Contribution for coordinates) were operating during the survey. Data represented is all points including terrain, vegetation, and structures. This data also contains returns from the water surface. No processing has been done to remove returns from terrain, vegetation, structures or water surfaces.
Chemical, transmissivity, and other data from CTD, bottle, and BT casts in the Arctic Ocean, North Atlantic Ocean, and North Pacific Ocean from 29 June 1966 to 22 April 2000 (NODC Accession 0000303)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Chemical, transmissivity, fluorescence, nutrients, and temperature data were collected from multiple ships from June 29, 1966 to April 22, 2000. Data were submitted by Marine Environmental Data Service. Data were collected using bottle, BT, and CTD casts in the Arctic Ocean, North Atlantic Ocean and South Atlantic Ocean.
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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NODC Standard Product: Climatic Atlas of the Barents Sea 1998: Temperature, Salinity, Oxygen (NODC Accession 0000300)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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This NODC CD-ROM product (NODC-121) contains the time and space distribution of 74,256 ocean stations (temperature, salinity, and oxygen) occupied in the Barents Sea from 1898 to 1993. These data are recorded on CD-ROM in a format designed for use in electronic spreadsheets and/or databases. Monthly maps defining the station distribution over the Barents Sea are given for every year. Monthly mean fields of temperature and salinity distribution for the depths 0, 30, 50, 100, and 200 m, with a grid distance of 10'x30' are plotted using objective analysis techniques. A description of the summer and winter seasons is given in terms of the spatial-temporal variability of thermohaline characteristics of the Barents Sea.
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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This data set contains sensitive biological resource data for threatened/endangered sea turtles in coastal Hawaii. Vector points in this data set represent sea turtle nesting sites, and sea turtle occurrences for species that are considered rare in Hawaii. 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 Hawaii. 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 REPTILES data layer, part of the larger Hawaii ESI database, for additional sea turtle information.
Chemical and physical data from bottle casts in the North/South Atlantic Ocean from 07 June 1961 to 05 December 1989 (NODC Accession 0000305)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Salinity, temperature, chemical, and physical data were collected using bottle casts in the North/South Atlantic Ocean from June 7, 1961 to December 5, 1989. Data were submitted by Atlantic Research Institute of Fishing Economy and Oceanography. Additional funding for digitizing historic data was provided by GODAR.
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.
Ocean circulation and other data from SUBSURFACE FLOATS from the NW Atlantic (limit-40 W) and other locations as part of the World Ocean Circulation Experiment (WOCE) from 01 January 1972 to 31 December 1989 (NODC Accession 9200081)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Ocean circulation and other data were collected from SUBSURFACE FLOATS from the NW Atlantic (limit-40 W) and other locations. Data were collected by Woods Hole Oceanographic Institution (WHOI) as part of the World Ocean Circulation Experiment (WOCE) from 01 January 1972 to 31 December 1989. Data are in the WHOI floater format and parameters include East-West current components (U), North-South current components (V), water temperature, and water pressure.
Temperature profile and water depth data collected from USGC FORWARD using BT and XBT casts in the Gulf of Mexico from 11 March 1992 to 01 April 1992 (NODC Accession 9200086)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Temperature profile and water depth data were collected using BT and XBT casts from the USCGC FORWARD in the Gulf of Mexico. Data were collected from 11 March 1992 to 01 April 1992 by the US Coast Guard.
NODC Standard Product: World Ocean Circulation Program (WOCE) Global Data, Version 2: Hydrographic Programme data on CD-ROM (NODC Accession 0000307)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Temperature profile data were collected using bottle and CTD casts in a world-wide distribution from 01 January 1990 to 31 December 1999. Data were collected as part of the World Ocean Circulation Experiment (WOCE) project.
Marine bird sighting and other data from the BURTON ISLAND and other platforms as part of the Outer Continental Shelf Environmental Assessment Program (OCSEAP) from 30 July 1975 to 12 August 1978 (NODC Accession 7800157)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Marine bird sighting and other data were collected from the BURTON ISLAND and other platforms from 30 July 1975 to 12 August 1978. Data were collected by the Point Reyes Bird Observatory (PRBO) as part of the Outer Continental Shelf Environmental Assessment Program (OCSEAP). Data were processed by NODC to the NODC standard F033 Marine Bird Sighting, Ship/Aircraft Census format. Full format description is available from NODC at www.nodc.noaa.gov/. An analog file for this accession is available from NODC user services. The F033 format contains data from field observations of marine birds made along ship or aircraft survey tracks. These data are collected to provide information on population density and distribution. Start and end position, date and elapsed time, speed and course, platform type and observing techniques are reported for each survey. Environmental information may include meteorological and sea surface conditions, distances to the shoreline and shelf break, ice characteristics within and outside each transect and surface debris, including oil slicks. Species data may include age, sex, color, plumage, number of individuals, direction of flight, behavior and food source association. Any number of species may be reported within one observation time span.
Individual animals and other data collected using visual observations and other instruments from AIRCRAFT in the Bering Sea and other seas from 02 September 1990 to 07 November 1991 (NODC Accession 9200080)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Individual Animal and other data were collected using visual observation and other instruments from AIRCRAFT in the Bering Sea, Chukchi Sea, and Arctic Ocean. Data were collected from 02 September 1990 to 07 November 1991 by US DOI; Minerals Management Service in Anchorage (MMS).
WATER DEPTH and Other Data from AIRCRAFT and Other Platforms From North Atlantic Ocean from 19890421 to 19920415 (NODC Accession 9200089)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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WATER DEPTH and Other Data from GYRE and Other Platforms From Gulf of Mexico from 19920126 to 19920320 (NODC Accession 9200085)
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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Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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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.
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Meteorological, oceanographic, wave spectra, and other data from FIXED PLATFORMS from the North Atlantic Ocean and other locations from 01 February 1992 to 29 February 1992 (NCEI Accession 9200083)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Meteorological, oceanographic, wave spectra, and other data were collected from FIXED PLATFORMS in the North Atlantic Ocean and other locations. Data were collected by the National Data Buoy Center (NDBC) from 01 February 1992 to 29 February 1992. Data were processed by NODC to the standard NODC F291-Meteorology, Oceanography, and Wave Spectra from Buoys format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/f291.html. Links to digital data are not available at this time. An analog file is available from NODC user services. The F291 format is used to report meteorological, oceanographic, and wave spectra data from NDBC moored buoys and fixed land stations. The format contains thirteen data record types to: 1) Identify the buoy position and other descriptive information; 2) report the meteorological measurements; 3) report wave energy spectra and wave direction; 4) report subsurface physical, biological and chemical oceanographic measurements; and 5) report detailed information on continuously measured wind speed and direction. Each record is 120 characters in length, sorted by station and record type. Record type is omitted where data defined in that type and not measured. The first nine columns for all records are to be used for file type (columns 1-3) and file identifier (columns 4-9). The file identifier, assigned by the originator, is a unique originator id for each data submission. After submission, the NODC reassigns to this field a unique and NODC identifier for internal use.
Physical and underway data collected aboard the KILO MOANA during cruise KM0908 in the North Pacific Ocean, Philippine Sea and South China Sea (Nan Hai) from 2009-02-27 to 2009-03-17 (NODC Accession 0089660)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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NODC accession 0089660 includes physical and underway data collected aboard the KILO MOANA during cruise KM0908 in the North Pacific Ocean, Philippine Sea and South China Sea (Nan Hai) from 2009-02-27 to 2009-03-17. 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 UNIVERSITY OF HAWAII; MARINE LABORATORY as part of Transit. 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.
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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NOAA ESRI Grid - 9m Bathymetric Rugosity, Puerto Rico (Isla de Mona) - Project NF-08-04, UTM 19N NAD83
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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This dataset contains a 9m ESRI Grid representing the rugosity of a selected portion of seafloor for Isla de Mona in Puerto Rico, derived from data collected in 2008. 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 Branch, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in Puerto Rico from 2/25/08 to 3/8/08. Data was acquired with a hull-mounted Kongsberg Simrad EM 1002 multibeam echosounder (95 kHz) in 2008. 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 imported to ESRI ArcMap 9.2 using the Convert XYZ to Raster tool developed by CCMA for this purpose. 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.
WATER DEPTH and Other Data from MORTON From NW Pacific (limit-180) from 19730914 to 19740426 (NODC Accession 7400480)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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CRED Rapid Ecological Assessment Line Point Intercept Survey of Benthic Parameter Assessments at Tutuila, American Samoa in 2012
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Line point intercept (LPI) surveys and benthic composition assessments were conducted during Rapid Ecological Assessments (REA) as part of the Pacific Reef Assessment and Monitoring Program (RAMP) cruise HA1201 in American Samoa from 20120401 to 20120426. Surveys are conducted by the Coral Reef Ecosystem Division (CRED) of the NOAA Pacific Islands Fisheries Science Center (PIFSC) at periodic intervals between one and three years to support a long-term NOAA Coral Reef Conservation Program (CRCP) for sustainable management and conservation of coral reef ecosystems. During the cruise, 22 REA sites were surveyed at Tutuila in American Samoa. Benthic biologists from NOAA's Coral Reef Ecosystem Division conducted Line Point Intercept surveys to quantitatively document the benthic cover at pre-determined long-term monitoring REA sites. Two linear 25 m transects were surveyed with a 5 m inter-transect region between the end of Transect 1 and the start of Transect 2. The LPI diver determines the benthic composition at 20 cm intervals for a total of 125 data points per transect. All living benthic elements (e.g., coral, algae, and other invertebrates) were identified to the lowest taxonomic level possible, often substituting functional group categories for turf algae and crustose coralline algae when identification in the field was extremely difficult. In cases where the substrate is bare or covered with turf algae, the substrate composition is also noted as either sand, rock, rubble, carbonate pavement, or dead coral. The data allows for the assessment and monitoring of species composition and abundance and provide the basis for computing quantitative estimates of percent cover at higher taxonomic levels like functional group (live coral, macroalgae, turf algae) or on a finer taxonomic resolution such as genus level.